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Documentation

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diff --git a/docs/latest/serverless-logic/cloud/index.html b/docs/latest/serverless-logic/cloud/index.html index 52a54b21..a04c4dd1 100644 --- a/docs/latest/serverless-logic/cloud/index.html +++ b/docs/latest/serverless-logic/cloud/index.html @@ -121,19 +121,34 @@

Documentation

+ @@ -241,23 +253,11 @@

Documentation

Event Orchestration - - - @@ -325,19 +310,7 @@

Documentation

Persistence @@ -365,31 +338,28 @@

Documentation

Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

Documentation

Integrations + + @@ -549,7 +642,7 @@

OpenShift Serverless Logic Applications in Cloud

-

Eventually these two options will converge, the Serverless Logic Operator will also be able to handle full Quarkus projects. So if you opt in to use Quarkus now and manually deploy your workflows, bear in mind that it’s on the project’s roadmap to integrate the Quarkus experience with the Operator.

+

Eventually, these two options will converge, and the Serverless Logic Operator will also be able to handle full Quarkus projects. So if you opt-in to use Quarkus now and manually deploy your workflows, bear in mind that it’s on the project’s roadmap to integrate the Quarkus experience with the Operator.

@@ -583,7 +676,17 @@

+
+

Learn how to deploy the Jobs Service using Serverless Logic Operator in a Kubernetes cluster

+
+
+ +
+
+

Learn how to deploy a workflow for development purposes

@@ -633,20 +736,60 @@

-

Learn about the known issues and feature roadmap of the Serverless Logic Operator

+

Learn how to deploy supporting services with Serverless Logic Operator

+
+

Learn how to build a custom development image to use with SonataFlow in devmode

+
+
+
+
+
+ +
+

Learn how to customize the workflow PodSpec template to control the deployment details

+
+
+
+
+
+ +
+

Learn how to configure and use the Serverless Logic Operator Kubernetes service discovery

+
+
+
+
+
+ +
+

Learn how to define the workflow Persistence field to allow the workflow to store its context

+
+
+
+
+
+
-

Migration guides

+

Learn about the known issues and feature Roadmap of the Serverless Logic Operator

@@ -661,7 +804,7 @@

Learn how to build images for your workflow applications using Quarkus CLI

@@ -671,7 +814,7 @@

Learn what is and how the Kubernetes service discovery for workflow application configuration works

@@ -681,7 +824,7 @@

Learn how to deploy your workflow application on OpenShift cluster

@@ -691,7 +834,7 @@

Learn how to deploy your workflow application on Minikube for local tests and development

@@ -701,7 +844,7 @@

Learn how to deploy your workflow application on Kubernetes

diff --git a/docs/latest/serverless-logic/cloud/operator/build-and-deploy-workflows.html b/docs/latest/serverless-logic/cloud/operator/build-and-deploy-workflows.html index 41540701..1e6cf5c2 100644 --- a/docs/latest/serverless-logic/cloud/operator/build-and-deploy-workflows.html +++ b/docs/latest/serverless-logic/cloud/operator/build-and-deploy-workflows.html @@ -121,19 +121,34 @@

Documentation

+ @@ -241,23 +253,11 @@

Documentation

Event Orchestration - - - @@ -325,19 +310,7 @@

Documentation

Persistence @@ -365,31 +338,28 @@

Documentation

Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

Documentation

Integrations + + @@ -535,13 +628,10 @@

Building and Deploying Workflows with the Operator

-

This document describes how to build and deploy your workflow on a cluster using the Serverless Logic Operator only by having a SonataFlow custom resource.

+

This document describes how to build and deploy your workflow on a cluster using the Serverless Logic Operator only by having a SonataFlow custom resource.

-

Every time you need to change the workflow definition the system will (re)build a new immutable version of the workflow. If you’re still in development phase, please see the Developing Workflow with the Operator guide.

-
-
-

Follow the Kubernetes or OpenShift sections of this document based on the cluster you wish to build your workflows on.

+

Every time you need to change the workflow definition the system will (re)build a new immutable version of the workflow. If you’re still in development phase, please see the Developing Workflows with the Operator guide.

@@ -551,12 +641,15 @@

Building and Deploying Workflows with the Operator

-

Serverless Logic Operator is under active development with features yet to be implemented. Please see Serverless Logic Operator Known Issues, Limitations and Roadmap.

+

The build system implemented by the Serverless Logic Operator is not suitable for complex production use cases. Consider using an external tool to build your application such as Tekton and ArgoCD. The resulting image can then be deployed with SonataFlow custom resource. See more at Setting a custom image in the default container section in the cloud/operator/customize-podspec.adoc#custom-image-default-container guide.

+
+

Follow the Kubernetes or OpenShift sections of this document based on the cluster you wish to build your workflows on.

+
Prerequisites
@@ -604,7 +698,7 @@

Building and Deploying Workflows with the Operator

Configuring the build system

-

The operator can build workflows on Kubernetes or OpenShift. On Kubernetes, it uses Kaniko and on OpenShift a standard BuildConfig. The operator build system is not tailored for advanced use cases and you can do only a few customizations.

+

The operator can build workflows on Kubernetes or OpenShift. On Kubernetes, it uses Kaniko and on OpenShift a standard BuildConfig. The operator build system is not tailored for advanced production use cases and you can do only a few customizations.

Patching the current SonataFlowPlatform with the new builder image
@@ -625,7 +719,7 @@

Customize the base build Dockerfile

-

The operator uses the sonataflow-operator-builder-config ConfigMap in the operator’s installation namespace ({operator_installation_namespace}) to configure and run the workflow build process. +

The operator uses the sonataflow-operator-builder-config ConfigMap in the operator’s installation namespace (sonataflow-operator-system) to configure and run the workflow build process. You can change the Dockerfile entry in this ConfigMap to tailor the Dockerfile to your needs. Just be aware that this can break the build process.

@@ -831,13 +929,18 @@

QUARKUS_EXTENSIONS

List of Quarkus Extensions separated by comma that the builder should add to the workflow.

-

org.kie.kogito:kogito-addons-quarkus-persistence-infinispan:2.0.0-SNAPSHOT

+

org.kie.kogito:kogito-addons-quarkus-persistence-jdbc:999-SNAPSHOT

QUARKUS_ADD_EXTENSION_ARGS

Arguments passed to the Quarkus CLI when adding extensions. Enabled only when QUARKUS_EXTENSIONS is not empty.

See the Quarkus CLI documentation

+ +

MAVEN_ARGS_APPEND

+

Arguments passed to the maven build when the workflow build is produced.

+

-Dkogito.persistence.type=jdbc -Dquarkus.datasource.db-kind=postgresql

+

@@ -1091,6 +1194,36 @@

+ + + + + +
+ + +
+

The minikube registry addon must be enabled as follows.

+
+
+
+
minikube addons enable registry
+
+
+
+

To verify that the addon was property enabled:

+
+
+
+
minikube addons list |grep registry
+| registry                    | minikube | enabled ✅   | minikube                       |
+| registry-aliases            | minikube | disabled     | 3rd party (unknown)            |
+| registry-creds              | minikube | disabled     | 3rd party (UPMC Enterprises)   |
+
+
+
+

You can save this file locally and run the following command:

@@ -1128,11 +1261,11 @@

-
oc edit cm/sonataflow-operator-builder-config -n {operator_installation_namespace}
+
oc edit cm/sonataflow-operator-builder-config -n sonataflow-operator-system

-

In your editor, change the first line in the Dockerfile entry where it reads FROM quay.io/kiegroup/kogito-swf-builder-nightly:latest to the desired image.

+

In your editor, change the first line in the Dockerfile entry where it reads FROM registry.redhat.io/openshift-serverless-1-tech-preview/logic-data-index-ephemeral-rhel8:1.32.0 to the desired image.

This image must be compatible with your operator’s installation.

@@ -1274,6 +1407,37 @@

+

Restarting a build

+
+
+

If you require to restart the build for some reason, you can add or edit the annotation sonataflow.org/restartBuild: true in the SonataFlowBuild instance.

+
+
+

For example:

+
+
+
Example of a SonataFlowBuild marked to restart
+
+
apiVersion: sonataflow.org/v1alpha08
+kind: SonataFlowBuild
+metadata:
+  name: greeting
+  annotations:
+    sonataflow.org/restartBuild: true
+
+
+
+

After editing the resource, the operator will start a new build of the workflow. Once this is finished, the workflow will be notified and updated accordingly.

+
+
+

If the build fails, but the workflow has a working deployment, the operator won’t rollout a new deployment.

+
+
+

Ideally you should use this feature if there’s a problem with your workflow or the initial build revision.

+
+
+

+

Additional resources

@@ -1292,7 +1456,7 @@

<

Found an issue?

-

If you find an issue or any misleading information, please feel free to report it here. +

If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

diff --git a/docs/latest/serverless-logic/cloud/operator/building-custom-images.html b/docs/latest/serverless-logic/cloud/operator/building-custom-images.html new file mode 100644 index 00000000..bc0cd4d1 --- /dev/null +++ b/docs/latest/serverless-logic/cloud/operator/building-custom-images.html @@ -0,0 +1,869 @@ + + + + + + Building a Custom Development Image :: Red Hat OpenShift Serverless previews + + + + + + + + + + + + + +
+ +
+ +
+
+
+

Building a Custom Development Image

+
+
+
+

This document describes how to build a custom development image to use in SonataFlow.

+
+
+ +
+
+

The development mode image structure

+
+
+

The development image is based on the Red Hat UBI 8 minimal container image. You can read its documentation for more detailed information about that image’s architecture.

+
+
+

The table below lists the additional packages installed in the development mode container image.

+
+ + ++++ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Table 1. List of packages
PackageDescription

shadow-utils

The shadow-utils package includes the necessary programs for converting UNIX password files to the shadow password format.

tar

gzip

unzip

zip

tzdata-java

java-17-openjdk-devel

OpenJDK 17

apache-maven-3.9.3-bin.tar.gz

Apache Maven

+
+

The next table lists the important paths in the container image’s file system.

+
+ + ++++ + + + + + + + + + + + + + + + + + + + + + + + + +
Table 2. Important file system paths
PathDescription

/home/kogito

Default user home directory

/home/kogito/launch

Useful scripts to run the application

/home/kogito/serverless-workflow-project

Workflow application directory in Maven format

/home/kogito/.m2/repository

Default Maven cache repository

+
+
+
+

Using the development mode as base image

+
+
+

Below you can find an example of a Dockerfile using the dev mode image as a base image to run a workflow capable of executing Python scripts.

+
+
+
Example of a dev mode Dockerfile
+
+
FROM registry.redhat.io/openshift-serverless-1-tech-preview/logic-swf-devmode-rhel8:1.32.0 (1)
+
+USER root (2)
+
+RUN microdnf install -y --nodocs python311 gcc python3.11-devel mesa-libGLU && \ (3)
+    microdnf clean all && \
+    ln -s /usr/bin/python3 /usr/bin/python && \
+    curl -sSL https://bootstrap.pypa.io/get-pip.py | python
+
+USER 1001 (4)
+
+ENV PATH="${PATH}:/home/kogito/.local/bin" (5)
+
+COPY requirements.txt /home/kogito/serverless-workflow-project/ (6)
+
+RUN pip install numpy
+RUN pip install -r requirements.txt
+
+ENV QUARKUS_EXTENSIONS="org.kie.kogito:kogito-addons-quarkus-serverless-workflow-python:main" (7)
+
+CMD ["/home/kogito/launch/run-app-devmode.sh"] (8)
+
+
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
1The dev mode image as the base image
2Change to super user to run privileged actions
3Install additional packages
4Change back to the default user without admin privileges
5Add a new binary path to the PATH
6Copying a file to the project’s root path
7Optionally adding a new Quarkus addon to the project
8Defining the default entrypoint for the image
+
+
+

You can then build this image using the following command:

+
+
+
Example of building a custom dev mode image
+
+
docker build -t quay.io/acme/sonataflow-python-devmode:latest .
+
+
+
+

You can experiment with your new image running the container locally, for example:

+
+
+
Running the custom dev mode image locally
+
+
 docker run -it --rm -p 8080:8080 -v /path/to/my/local/project/resources:/home/kogito/serverless-workflow-project/src/main/resources quay.io/acme/sonataflow-python-devmode:latest
+
+
+
+

The container exposes port 8080 by default. When running the container locally, you must forward any free local port to 8080. In this example, we use the same 8080 port.

+
+
+

Next, we mount a local volume to the container’s application path. Any local workflow definitions, specification files, or properties should be mounted to src/main/resources. Alternatively, you can also mount custom Java files to src/main/java.

+
+
+

Finally, to use the new generated image with the dev profile you can see: Using another Workflow base image.

+
+
+
+ +
+

Found an issue?

+
+
+

If you find an issue or any misleading information, please feel free to report it here. +We really appreciate it!

+
+
+
+
+
+
+
+
+

Adapted from Antora default UI, (c) 2019

+
+ + + + + + diff --git a/docs/latest/serverless-logic/cloud/operator/configuring-knative-eventing-resources.html b/docs/latest/serverless-logic/cloud/operator/configuring-knative-eventing-resources.html new file mode 100644 index 00000000..d2e3fa58 --- /dev/null +++ b/docs/latest/serverless-logic/cloud/operator/configuring-knative-eventing-resources.html @@ -0,0 +1,764 @@ + + + + + + Knative Eventing :: Red Hat OpenShift Serverless previews + + + + + + + + + + + + + +
+ +
+ +
+
+
+

Knative Eventing

+
+
+
+

This document describes how you can configure the workflows to let operator create the knative eventing resources on Kubernetes.

+
+
+

Serverless Logic Operator can analyze the event definitions from the spec.flow and create SinkBinding/Trigger based on the type of the event. Then the workflow service can utilize them for event communications. The same purpose of this feature in quarkus extension can be found here.

+
+
+ +
+
+

Prerequisite

+
+
+
    +
  1. +

    Knative is installed on the cluster and Knative Eventing is initiated with a KnativeEventing CR.

    +
  2. +
  3. +

    A broker named default is created. Currently all Triggers created by the Serverless Logic Operator will read events from default

    +
  4. +
+
+
+
+
+

Configuring the workflow

+
+
+

For the operator to create the SinkBinding resources, the workflow must provide the sink information in spec.sink.

+
+
+
Example of a workflow with events
+
+
apiVersion: sonataflow.org/v1alpha08
+kind: SonataFlow
+metadata:
+...
+spec:
+  sink:
+    ref: (1)
+      name: default
+      namespace: greeting
+      apiVersion: eventing.knative.dev/v1
+      kind: Broker
+  flow:
+    events: (2)
+      - name: requestQuote
+        type: kogito.sw.request.quote
+        kind: produced
+      - name: aggregatedQuotesResponse,
+        type: kogito.loanbroker.aggregated.quotes.response,
+        kind: consumed,
+        source: /kogito/serverless/loanbroker/aggregator
+...
+
+
+
+ + + + + + + + + +
1spec.sink.ref defines the sink that all created sinkBinding will use as the destination sink for producing events
2spec.flow.events lists all the events referenced in the workflow. Events with produced kind will trigger the creation of SinkBindings by the Serverless Logic Operator, while those labeled as consumed will lead to the generation of Triggers.
+
+
+ + + + + +
+ + +
+

Knative resources are not watched by the operator, indicating they will not undergo automatic reconciliation. This grants users the freedom to make updates at their preference.

+
+
+
+
+
+ +
+

Found an issue?

+
+
+

If you find an issue or any misleading information, please feel free to report it here. +We really appreciate it!

+
+
+
+
+
+
+
+
+

Adapted from Antora default UI, (c) 2019

+
+ + + + + + diff --git a/docs/latest/serverless-logic/cloud/operator/configuring-workflows.html b/docs/latest/serverless-logic/cloud/operator/configuring-workflows.html index c303e02e..f1ab66d5 100644 --- a/docs/latest/serverless-logic/cloud/operator/configuring-workflows.html +++ b/docs/latest/serverless-logic/cloud/operator/configuring-workflows.html @@ -121,19 +121,34 @@

Documentation

+ @@ -241,23 +253,11 @@

Documentation

Event Orchestration - - - @@ -325,19 +310,7 @@

Documentation

Persistence @@ -365,31 +338,28 @@

Documentation

Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

Documentation

Integrations + + @@ -542,7 +635,7 @@

Configuring Workflow Services

@@ -552,7 +645,31 @@

Configuring Workflow Services

Editing the Workflow Configuration

-

When the operator deploys the Workflow service, it also creates a ConfigMap named after the SonataFlow object with the suffix -props. For example, if your Workflow name is greeting, then the ConfigMap name is greeting-props.

+

When the operator deploys the Workflow service, it also creates two `ConfigMap`s to store the runtime properties:

+
+
+
    +
  • +

    The user properties are defined in a ConfigMap named after the SonataFlow object with the suffix -props. For example, if your Workflow name is greeting, then the ConfigMap name is greeting-props.

    +
  • +
  • +

    The Managed Properties are defined in a ConfigMap named after the SonataFlow object with the suffix -managed-props. For example, if your Workflow name is greeting, then the ConfigMap name is greeting-managed-props.

    +
  • +
+
+
+ + + + + +
+ + +
+

Managed properties always override any user property using the same key name and cannot be edited by the user. Any change would be overwritten by the operator at the next reconciliation cycle.

+
+

You can use the Kubernetes object editor of your preference to add or edit the properties in the Workflow configuration. Using kubectl you can do:

@@ -569,7 +686,7 @@

Here’s an example of a Workflow properties stored within a ConfigMap:

-
+
Example of a Workflow ConfigMap Properties
apiVersion: v1
@@ -593,13 +710,13 @@ 

-

Immutable properties

+

Managed properties

-

A few properties cannot be changed in this configuration. Usually, they are already defined in the properties file. The table below lists them.

+

A few properties cannot be changed in this configuration and they are defined in the managed properties file. The table below lists them.

- +@@ -631,6 +748,22 @@

<

Table 1. List of immutable propertiesTable 1. List of managed properties
+

Other managed properties include:

+
+
+

If you try to change any of them, the operator will override them with the default, but preserving your changes in other property keys.

@@ -641,13 +774,16 @@

<
@@ -241,23 +253,11 @@

Documentation

Event Orchestration - - - @@ -325,19 +310,7 @@

Documentation

Persistence @@ -365,31 +338,28 @@

Documentation

Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

Documentation

Integrations + + @@ -531,7 +624,7 @@

Documentation

-

Developing Workflow with the Operator

+

Developing Workflows with the Operator

-

If you find an issue with a cause is not listed in this section, please let us know.

+

If you find an issue with a cause is not listed in this section, please let us know.

@@ -996,6 +1089,9 @@

<
  • Building and Deploying Workflows with the Operator

  • +
  • +

    Building a Custom Development Image

    +
  • @@ -1004,7 +1100,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/cloud/operator/enabling-jobs-service.html b/docs/latest/serverless-logic/cloud/operator/enabling-jobs-service.html new file mode 100644 index 00000000..368b1e4b --- /dev/null +++ b/docs/latest/serverless-logic/cloud/operator/enabling-jobs-service.html @@ -0,0 +1,880 @@ + + + + + + Managing Jobs Service with the Operator :: Red Hat OpenShift Serverless previews + + + + + + + + + + + + + +
    + +
    + +
    +
    +
    +

    Managing Jobs Service with the Operator

    +
    +
    +
    +

    This document describes how to configure the Jobs Service instance using the SonataFlowPlarform CR.

    +
    +
    + +
    +
    +

    Automate the Jobs Service instance management with the SonataFlow Operator

    +
    +
    +

    It is possible to deploy the Jobs Service manually, leveraging the Operator offers a more seamless integration by +combining it with namespace configuration through the SonataFlowPlatform Custom Resource (CR). When the Operator oversees +the lifecycle of the jobs service, it automatically injects necessary properties during creation into the SonataFlow workflows. +This integration eliminates the need for including these properties within the SonataFlow workflow CR instance, simplifying workflow management. +== Configuring Jobs Service in the SonataFlowPlatform CR

    +
    +
    +

    To enable the deployment of a Jobs Service instance, the SonataFlowPlatform CRD exposes a set of fields that allow the user to +configure the running instance.

    +
    +
    +

    Ephemeral persistence

    +
    +

    The basic runtime is to deploy the Jobs Service with an ephemeral backend running in the same container +as the Jobs Service runtime.

    +
    +
    +
    +
    ---
    +apiVersion: sonataflow.org/v1alpha08
    +kind: SonataFlowPlatform
    +metadata:
    +  name: sonataflow-platform
    +spec:
    +  services:
    +    jobService: {}
    +---
    +
    +
    +
    +

    When executing this manifest, the operator will reconcile generating a pod hosting the Jobs Service:

    +
    +
    +
    +
    ---
    +$>kubectl get pod -n sonataflow
    +NAME                                               READY   STATUS    RESTARTS   AGE
    +sonataflow-platform-jobs-service-cdf85d969-sbwkj   1/1     Running   0          108s
    +---
    +
    +
    +
    +

    Keep in mind that this setup is not recommended for production environments, especially because the data does not persist when the pod restarts.

    +
    +
    +
    +

    Using an existing PostgreSQL service

    +
    +

    For robust environments it is recommened to use an dedicated database service and configure Jobs Service to make use of it. Currently, the Jobs Service +only supports PostgreSQL database.

    +
    +
    +

    Configuring Jobs Service to communicate with an existing PostgreSQL instance is supported in two ways. In both cases it requires providing the persistence +configuration, one by using the Jobs Service’s persistence field and the other one using the persistence field defined in the SonataFlowPlatform CR +deployed in the same namespace.

    +
    +
    +

    By default, the persistence specification defined in the SonataFlow workflow’s CR takes priority over the one in the SonataFlowPlatform persistence specification.

    +
    +
    +

    Using the persistence field defined in the SonataFlowPlatform CR

    +
    +

    Using the persistence configuration in the SonataFlowPlatform CR located in the same namespace requires to have the SonataFlow CR persistence field configured +to have an empty {} value, signaling the Operator to derive the persistence from the active SonataFlowPlatform, when available. If no persistence is defined +the operator will fallback to the ephemeral persistence previously described.

    +
    +
    +
    +
    ---
    +apiVersion: sonataflow.org/v1alpha08
    +kind: SonataFlowPlatform
    +metadata:
    +  name: sonataflow-platform
    +spec:
    +  persistence:
    +    postgresql:
    +      secretRef:
    +        name: postgres-secrets
    +        userKey: POSTGRES_USER
    +        passwordKey: POSTGRES_PASSWORD
    +      serviceRef:
    +        name: postgres
    +        port: 5432
    +        databaseName: sonataflow
    +---
    +
    +
    +
    +

    And the SonataFlow CR looks like this:

    +
    +
    +
    +
    ---
    +apiVersion: sonataflow.org/v1alpha08
    +kind: SonataFlow
    +metadata:
    +  name: callbackstatetimeouts
    +  annotations:
    +    sonataflow.org/description: Callback State Timeouts Example k8s
    +    sonataflow.org/version: 0.0.1
    +spec:
    +  persistence: {}
    +...
    +---
    +
    +
    +
    +

    When using the jdbcUrl field instead of serviceRef, the user is responsible for providing the correct JDBC URL connection value that does not contain a database schema +because the operator will use verbatim the contents of this field as the JDBC connection in the Jobs Service pod, and if it provides a schema that has been used or formatted +by a different client, the pod will fail to run.

    +
    +
    +
    Using the persistence field inside the service specification
    +
    +

    You can specify define the persistence configuration directly in the Jobs Service specification. The structure is the same as in the SonataFlowPlatform CR and also +consist on the credentials to access the PostgreSQL instance, and the kubernetes service reference to generate the connectivity.

    +
    +
    +
    +
    ---
    +apiVersion: sonataflow.org/v1alpha08
    +kind: SonataFlowPlatform
    +metadata:
    +  name: callbackstatetimeouts
    +spec:
    +  persistence:
    +    postgresql:
    +      secretRef:
    +        name: postgres-secrets
    +        userKey: POSTGRES_USER
    +        passwordKey: POSTGRES_PASSWORD
    +      serviceRef:
    +        name: postgres
    +        port: 5432
    +        databaseName: sonataflow
    +        databaseSchema: jobs-service
    +---
    +
    +
    +
    +

    In this example we’re using a PostgreSQL service located in the same namespace where the Jobs Service is deployed, pointing to the default PostgreSQL port of 5432 +and referencing the database sonataflow and schema jobs-service. By default, when the Jobs Service pod starts it will recreate the schema in the given location +if it doesn’t exist.

    +
    +
    +

    The values of POSTGRES_USER and POSTGRES_PASSWORD point to the keys in the secret that contains the PostgreSQL credentials.

    +
    +
    +
    +
    ---
    +$>kubectl describe secrets postgres-secrets
    +Name:         postgres-secrets
    +Namespace:    default
    +Labels:       <none>
    +Annotations:  <none>
    +
    +
    +
    +

    Type: Opaque

    +
    +
    +

    Data +\\\\==== +PGDATA: 28 bytes +POSTGRES_DATABASE: 10 bytes +POSTGRES_PASSWORD: 10 bytes +POSTGRES_USER: 10 bytes +---

    +
    +
    +

    Putting everything together will render an output similar to this one below:

    +
    +
    +
    +
    ---
    +$>kubectl get pod -w -n sonataflow
    +NAME                                                READY   STATUS    RESTARTS   AGE
    +postgres-64c9ddb6bc-v96qb                           1/1     Running   0          14m
    +sonataflow-platform-jobs-service-79bb6bc67f-gvcg4   1/1     Running   0           1m
    +---
    +
    +
    +
    +
    +
    +
    +
    +
    +

    Conclusion

    +
    +
    +

    The Operator extends its scope to manage the lifecycle of the Jobs Service instance, thus removing the burden on the users and allowing them to focus on the +implementation of the Sonataworkflows. It takes care of managing the Jobs Service deployment, dynamically configures its application properties +when the Data Index service is also available and managed by the Operator, and finally inject application properties in `SonataFlow workflows in the target +namespace when the Jobs Service is available.

    +
    +
    +
    +
    +

    Additional resources

    + +
    +
    +

    Found an issue?

    +
    +
    +

    If you find an issue or any misleading information, please feel free to report it here. +We really appreciate it!

    +
    +
    +
    +
    +
    +
    +
    +
    +

    Adapted from Antora default UI, (c) 2019

    +
    + + + + + + diff --git a/docs/latest/serverless-logic/cloud/operator/install-serverless-operator.html b/docs/latest/serverless-logic/cloud/operator/install-serverless-operator.html index bf6a2c93..fcc4b8d0 100644 --- a/docs/latest/serverless-logic/cloud/operator/install-serverless-operator.html +++ b/docs/latest/serverless-logic/cloud/operator/install-serverless-operator.html @@ -121,19 +121,34 @@

    Documentation

    + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -535,13 +628,13 @@

    Install the Serverless Logic Operator

    -

    This guide describes how to install the Serverless Logic Operator in a Kubernetes or OpenShift cluster. The operator is in an early development stage (community only) and has been tested on OpenShift 4.11+, Kubernetes 1.22+, and Minikube.

    +

    This guide describes how to install the Serverless Logic Operator in a Kubernetes or OpenShift cluster. The operator is in an early development stage (community only) and has been tested on OpenShift 4.12+ and Minikube.

    Prerequisites
    • -

      A Kubernetes or OpenShift cluster with admin privileges. Alternatively, you can use Minikube or KIND.

      +

      An OpenShift cluster with admin privileges. Alternatively, you can use Minikube or KIND.

    • kubectl command-line tool is installed. Otherwise, Minikube provides it.

      @@ -562,6 +655,13 @@

      Install the Serverless Logic Operator

    • Uninstall
    +
  • OpenShift Serverless Logic Operator Manual Installation + +
  • Additional resources
  • Found an issue?
  • @@ -574,7 +674,7 @@

    Adding Operators to a cluster" from the OpenShift’s documentation.

    -

    When searching for the operator in the Filter by keyword field, use the word {operator_openshift_keyword}. If you’re installing from the CLI, the operator’s catalog name is {operator_openshift_catalog}.

    +

    When searching for the operator in the Filter by keyword field, use the word Serverless Logic. If you’re installing from the CLI, the operator’s catalog name is logic-rhel8-operator.

    Uninstall

    @@ -591,7 +691,7 @@

    How to install an Operator from OperatorHub.io" from the OperatorHub’s documentation.

    -

    When searching for the operator in the Search OperatorHub field, use the word {operator_k8s_keyword}.

    +

    When searching for the operator in the Search OperatorHub field, use the word sonataflow.

    Uninstall

    @@ -599,7 +699,178 @@

    Uninstall

    To remove the operator on Kubernetes follow the document "Uninstall your operator" from the OLM’s documentation.

    -

    When searching for the subscription to remove, use the word {operator_k8s_subscription}.

    +

    When searching for the subscription to remove, use the word my-sonataflow-operator.

    +
    +
    +
    +

    +
    +

    OpenShift Serverless Logic Operator Manual Installation

    +
    +
    + + + + + +
    + + +
    +

    If you’re running on Kubernetes or OpenShift, it is highly recommended to install the operator from the OperatorHub or OpenShift Console instead since the installation is managed by OLM. Use this method only if you need a snapshot version or you’re running locally on Minikube or KIND.

    +
    +
    +
    +
    +

    Prepare a Minikube instance

    +
    + + + + + +
    + + +
    +

    You can safely skip this section if you’re not using Minikube.

    +
    +
    +
    +
    +
    Prerequisites
    +
      +
    • +

      A machine with at least 8GB memory and a CPU with 8 cores

      +
    • +
    • +

      Docker or Podman installed

      +
    • +
    +
    +
    +

    Run the following command to create a new instance capable of installing the operator and deploy workflows:

    +
    +
    +
    +
    minikube start --cpus 4 --memory 4096 --addons registry --addons metrics-server --insecure-registry "10.0.0.0/24" --insecure-registry "localhost:5000"
    +
    +
    +
    + + + + + +
    + + +
    +

    To speed up the build time, you can increase the CPUs and memory options so that your Minikube instance will have more resources. For example, use --cpus 12 --memory 16384. If you have already created your Minikube instance, you will need to recreate it for these changes to apply.

    +
    +
    +
    +
    +

    If Minikube does not work with the default driver, also known as docker, you can try to start with the podman driver as follows:

    +
    +
    +
    Start Minikube with the Podman driver
    +
    +
    minikube start [...] --driver podman
    +
    +
    +
    +
    +

    Install

    +
    +

    To install the OpenShift Serverless Logic Operator, you can use the following command:

    +
    +
    +
    Install OpenShift Serverless Logic Operator on Minikube
    +
    +
    kubectl create -f https://raw.githubusercontent.com/kiegroup/kogito-serverless-operator/9.99.x-prod/operator.yaml
    +
    +
    +
    +

    You can also specify a version:

    +
    +
    +
    +
    kubectl create -f https://raw.githubusercontent.com/kiegroup/kogito-serverless-operator/<version>/operator.yaml
    +
    +
    +
    +

    <version> should be 9.99.x-prod.

    +
    +
    +

    You can follow the deployment of the OpenShift Serverless Logic Operator:

    +
    +
    +
    Watch the OpenShift Serverless Logic Operator pod
    +
    +
    kubectl get pod -n sonataflow-operator-system --watch
    +
    +
    +
    +

    A successful installation should have an output like this:

    +
    +
    +
    Successful Installation Output
    +
    +
    NAME                                                     READY   STATUS              RESTARTS   AGE
    +sonataflow-operator-controller-manager-948547ffd-sr2j2   0/2     ContainerCreating   0          6s
    +sonataflow-operator-controller-manager-948547ffd-sr2j2   1/2     Running             0          7s
    +sonataflow-operator-controller-manager-948547ffd-sr2j2   2/2     Running             0          20s
    +
    +
    +
    +

    You can also follow the operator’s log:

    +
    +
    +
    Watch the OpenShift Serverless Logic Operator pod logs
    +
    +
    kubectl logs deployment/sonataflow-operator-controller-manager -n sonataflow-operator-system -f
    +
    +
    +
    +

    Once the operator is running, it will watch for instances of the OpenShift Serverless Logic Custom Resources (CR). Using CRs, you can configure your OpenShift Serverless Logic environment and define Workflows and builds to be handled by the operator.

    +
    +
    +
    +

    Uninstall

    +
    +

    To uninstall the Serverless Logic Operator, first, you must delete all the OpenShift Serverless Logic Custom Resources (CR) instances managed by it. Once the CRs are deleted, you can then delete all resources created during the operator installation.

    +
    +
    +

    To delete every CR managed by the operator in your cluster, you can run these series of commands:

    +
    +
    +
    Delete all OpenShift Serverless Logic CR instances
    +
    +
    kubectl delete --all workflow --all-namespaces
    +kubectl delete --all sonataflowbuild --all-namespaces
    +kubectl delete --all sonataflowplatform --all-namespaces
    +
    +
    +
    +

    Alternatively, if you created everything under the same Namespace, deleting the given namespace has the same outcome.

    +
    +
    +

    To uninstall the correct version of the operator, first you must get the current version by running:

    +
    +
    +
    Getting the operator version
    +
    +
    kubectl get deployment sonataflow-operator-controller-manager -n sonataflow-operator-system -o jsonpath="{.spec.template.spec.containers[?(@.name=='manager')].image}"
    +
    +$registry.redhat.io/openshift-serverless-1-tech-preview/logic-rhel8-operator:$1.32.0
    +
    +
    +
    +
    Uninstalling the operator
    +
    +
    kubectl delete -f $https://raw.githubusercontent.com/kiegroup/kogito-serverless-operator/9.99.x-prod/operator.yaml
    +
    @@ -613,7 +884,10 @@

    <

    Serverless Logic Operator Known Issues, Limitations and Roadmap

  • -

    Developing Workflow with the Operator

    +

    Developing Workflows with the Operator

    +
  • +
  • +

    Managing Jobs Service with the Operator

  • @@ -623,7 +897,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/cloud/operator/known-issues.html b/docs/latest/serverless-logic/cloud/operator/known-issues.html index 856bf4e2..533a3583 100644 --- a/docs/latest/serverless-logic/cloud/operator/known-issues.html +++ b/docs/latest/serverless-logic/cloud/operator/known-issues.html @@ -121,19 +121,34 @@

    Documentation

    + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -524,7 +617,7 @@

    Documentation

  • User Guides
  • Cloud
  • Operator
  • -
  • Known Issues
  • +
  • Roadmap and Known Issues
  • @@ -535,7 +628,7 @@

    Serverless Logic Operator Known Issues, Limitations and Roadmap

    + +
    +

    Operator SDK, OLM, OperatorHub

    + diff --git a/docs/latest/serverless-logic/cloud/operator/referencing-resource-files.html b/docs/latest/serverless-logic/cloud/operator/referencing-resource-files.html index d3a415aa..1c709cb4 100644 --- a/docs/latest/serverless-logic/cloud/operator/referencing-resource-files.html +++ b/docs/latest/serverless-logic/cloud/operator/referencing-resource-files.html @@ -121,19 +121,34 @@

    Documentation

    + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -761,7 +854,7 @@

    <

    Serverless Logic Operator Known Issues, Limitations and Roadmap

  • -

    Developing Workflow with the Operator

    +

    Developing Workflows with the Operator

  • Configuring Workflow Services

    @@ -774,7 +867,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/cloud/operator/service-discovery.html b/docs/latest/serverless-logic/cloud/operator/service-discovery.html new file mode 100644 index 00000000..040da044 --- /dev/null +++ b/docs/latest/serverless-logic/cloud/operator/service-discovery.html @@ -0,0 +1,952 @@ + + + + + + Kubernetes service discovery in Serverless Logic Operator :: Red Hat OpenShift Serverless previews + + + + + + + + + + + + + +
    + +
    + +
    +
    +
    +

    Kubernetes service discovery in Serverless Logic Operator

    +
    +
    +
    +

    The Kubernetes service discovery allows you to describe the Kubernetes resource you want to perform HTTP requests on using a custom URI. Under the hood, it will discover the network endpoint (URL) to where to make the request.

    +
    +
    +

    The service discovery occurs during the operator managed deployment of a workflow, or during the application startup if you are using a standalone Quarkus Workflow Project. +In both cases, this feature scans all the Quarkus configurations in search of the URI pattern. Therefore, you must remember that if the application startup time matters, consider using a known static URL instead.

    +
    +
    +

    Following is the custom URI pattern in Kubernetes service discovery:

    +
    +
    +
    URI pattern in Kubernetes service discovery
    +
    +
    kubernetes:<kind>.<version>.<group>/<namespace>/<resourceName>?<attributeName>=<attributeValue>
    +\________/ \____/ \_______/ \_____/ \_________/ \____________/ \______________________________/
    +  scheme    kind   version   group   namespace   resourceName   additional resource attributes
    +            \____________________/                               \__________________________/
    +                     GVK                                           Supported values:
    +                                                                   - port=<PORT_NAME>
    +                                                                   - label-name1=label-value1
    +                                                                   - label-name2=label-value2
    +
    +
    +
    +

    The following scheme values are supported in the URI pattern:

    +
    +
    +
      +
    • +

      kubernetes

      +
    • +
    • +

      openshift

      +
    • +
    • +

      knative

      +
    • +
    +
    +
    +

    The following resources are supported for the Kubernetes GVK (Group, Version, and Kind):

    +
    +
    +
      +
    • +

      services.v1

      +
    • +
    • +

      services.v1.serving.knative.dev

      +
    • +
    • +

      pods.v1

      +
    • +
    • +

      deployments.v1.apps

      +
    • +
    • +

      deploymentconfigs.v1.apps.openshift.io

      +
    • +
    • +

      statefulsets.v1.apps

      +
    • +
    • +

      routes.v1.route.openshift.io

      +
    • +
    • +

      ingresses.v1.networking.k8s.io

      +
    • +
    +
    +
    + + + + + +
    + + +
    +

    When using knative, you can also use a simplified URI like:

    +
    +
    +
    +
    knative:<namespace>/<serviceName>
    +
    +
    +
    +

    The above URI looks directly for services.v1.serving.knative.dev resource.

    +
    +
    +
    +
    + + + + + +
    + + +
    +

    The namespace in the URI is optional, however, if namespace contains an empty value, the current namespace or context is used.

    +
    +
    +
    +
    +
    +
    Query parameters in URI
    +
    +
    +
    +
    +

    Also known as query string. The query parameters are defined the similar way with URLs to assign value to specific attributes.

    +
    +
    +

    The following query parameters help the engine to be more precise when querying for a given Kubernetes resource:

    +
    +
    +
      +
    • +

      Custom labels: The custom labels are used to filter services in case there are more than one service with the same label selector but exposing different ports. In this case, you can instruct the engine that if more than one service is found, then the engine must use the service containing the provided label.

      +
      +

      The label is defined with the following expression and in case of multiple labels, you can use ampersand (&):

      +
      +
      +

      label-name1=label-value1&label-name2=label-value2

      +
      +
      +
      Example label definition in URI
      +
      +
      kubernetes:pods.v1/<namespace>/<pod-name>?tier=backend
      +
      +
      +
      +

      Using the previous URI example, if there are more than one service exposing the given pod, the tier=backend label is used to filter the service. If the label does not exist, the first found service is used.

      +
      +
    • +
    • +

      Custom port: The custom port is used to determine which port to use when multiple ports are configured in the target service. You can configure the port name to be queried using the following pattern:

      +
      +

      port=<PORT_NAME>

      +
      +
    • +
    +
    +
    +
    +
    +
    +
    +
    + + + + + +
    + + +
    +

    When you work with operator managed workflow deployments, there is no specific configuration required for the Kubernetes service discovery except by using the expected URI pattern.

    +
    +
    +
    +
    + +
    +
    +

    Kubernetes service discovery resolution

    +
    +
    +

    Based on the resource to be discovered, the Kubernetes service discovery follows specific paths as shown in the following figure:

    +
    +
    +
    +OperatorServiceDiscovery +
    +
    +
    +
    +
    +

    Example of Kubernetes service discovery in Serverless Logic Operator

    +
    +
    +

    The Kubernetes service discovery is performed by the operator at workflow deployment time. +At this point, the operator scans the workflow configuration parameters in the associated ConfigMap, and searches for the Kubernetes URI pattern. +If the URI pattern is found, the operator parses the URI, queries the Kubernetes API searching for the given resource, and overrides the given parameter with the resolved value by adding an entry in the corresponding managed properties ConfigMap.

    +
    +
    +

    For example, consider a workflow with the name mortgage-workflow that consumes a resource running on Kubernetes to execute financial operations implemented by the Knative Service financial-service.

    +
    +
    +
    mortgage-workflow ConfigMap Properties
    +
    +
    kind: ConfigMap
    +apiVersion: v1
    +metadata:
    +  name: mortgage-workflow-props
    +  namespace: example
    +  labels:
    +    app: mortgage-workflow
    +    sonataflow.org/workflow-app: mortgage-workflow
    +data:
    +  application.properties: >+
    +    # service discovery configuration to resolve the financial-service
    +    quarkus.rest-client.financial_service_yaml.url=${knative:services.v1.serving.knative.dev/financial-service}
    +
    +
    +
    + + + + + +
    + + +
    +
      +
    • +

      The service discovery URI must always be included in between ${}

      +
    • +
    +
    +
    +
    +
    +

    Finally, as part of the deployment procedure the operator will create the following mortgage-workflow-managed-props ConfigMap, that contains all the configurations that are managed by the operator, including the service discovery properties that were calculated for the configuration above.

    +
    +
    +
    mortgage-workflow-managed-props ConfigMap Properties
    +
    +
    kind: ConfigMap
    +apiVersion: v1
    +metadata:
    +  name: mortgage-workflow-managed-props
    +  namespace: example
    +  labels:
    +    app: mortgage-workflow
    +    sonataflow.org/workflow-app: mortgage-workflow
    +data:
    +  application-dev.properties: >
    +    org.kie.kogito.addons.discovery.knative\:services.v1.serving.knative.dev\/financial-service
    +    = http://financial-service.example.svc.cluster.local
    +
    +    quarkus.rest-client.financial_service_yaml.url =
    +    http://financial-service.example.svc.cluster.local
    +
    +    quarkus.http.port = 8080
    +
    +    quarkus.http.host = 0.0.0.0
    +
    +    ... other operator calculated properties
    +
    +
    +
    +

    As you can see, the service discovery URI ${knative:services.v1.serving.knative.dev/financial-service} was resolved to the URL http://financial-service.example.svc.cluster.local.

    +
    +
    + + + + + +
    + + +
    +
      +
    • +

      In the URI above, the namespace example was omitted intentionally on the assumption that the mortgage-workflow and the financial-service are deployed on the same example namespace. +If this is not the case, you must add the financial-service’s namespace to that URI. For example ${knative:services.v1.serving.knative.dev/finance-department/financial-service}

      +
    • +
    +
    +
    +
    +
    + + + + + +
    + + +
    +

    The mortgage-workflow-managed-props is generated by the operator, and any external change on that ConfigMap will be overwritten in the next reconciliation cycle.

    +
    +
    +
    +
    +
    +
    +

    Found an issue?

    +
    +
    +

    If you find an issue or any misleading information, please feel free to report it here. +We really appreciate it!

    +
    +
    +
    +
    +
    +
    +
    +
    +

    Adapted from Antora default UI, (c) 2019

    +
    + + + + + + diff --git a/docs/latest/serverless-logic/cloud/operator/supporting-services.html b/docs/latest/serverless-logic/cloud/operator/supporting-services.html new file mode 100644 index 00000000..68109da8 --- /dev/null +++ b/docs/latest/serverless-logic/cloud/operator/supporting-services.html @@ -0,0 +1,866 @@ + + + + + + Supporting Services :: Red Hat OpenShift Serverless previews + + + + + + + + + + + + + +
    + +
    + +
    +
    +
    +

    Supporting Services

    +
    +
    +
    +

    By default, workflows use an embedded version of Data Index. This document describes how to deploy supporting services, like Data Index, on a cluster using the Serverless Logic Operator.

    +
    +
    + + + + + +
    + + +
    +

    Serverless Logic Operator is under active development with features yet to be implemented. Please see Serverless Logic Operator Known Issues, Limitations and Roadmap.

    +
    +
    +
    +
    +
    Prerequisites
    + +
    +
    + +
    +
    +

    Deploy supporting services

    +
    +
    +

    Data Index

    +
    +

    You can deploy Data Index via SonataFlowPlatform configuration. The operator will then configure all new workflows, with the "prod" profile, to use that Data Index.

    +
    +
    +

    Following is a basic configuration. It will deploy an ephemeral Data Index to the same namespace as the SonataFlowPlatform.

    +
    +
    +
    Example of a SonataFlowPlatform instance with an ephemeral Data Index deployment
    +
    +
    apiVersion: sonataflow.org/v1alpha08
    +kind: SonataFlowPlatform
    +metadata:
    +  name: sonataflow-platform
    +spec:
    +  services:
    +    dataIndex: {}
    +
    +
    +
    +

    If you require Data Index persistence, this can be done with a postgresql database. +Unresolved include directive in modules/serverless-logic/pages/cloud/operator/supporting-services.adoc - include::../../../../pages/_common-content/downstream-project-setup-instructions.adoc[]

    +
    +
    +

    Following is a services configuration with the persistence option enabled. You’ll first need to create a secret with your database credentials.

    +
    +
    +
    Create a Secret for datasource authentication.
    +
    +
    kubectl create secret generic <creds-secret> --from-literal=POSTGRESQL_USER=<user> --from-literal=POSTGRESQL_PASSWORD=<password> -n workflows
    +
    +
    +
    +
    Example of a SonataFlowPlatform instance with a Data Index deployment persisted to a postgresql database
    +
    +
    apiVersion: sonataflow.org/v1alpha08
    +kind: SonataFlowPlatform
    +metadata:
    +  name: sonataflow-platform
    +spec:
    +  services:
    +    dataIndex:
    +      persistence:
    +        postgresql:
    +          secretRef:
    +            name: <creds-secret> (1)
    +          serviceRef:
    +            name: <postgresql-service> (2)
    +
    +
    +
    + + + + + + + + + +
    1Name of your postgresql credentials secret
    2Name of your postgresql k8s service
    +
    +
    +
    Example of a SonataFlowPlatform instance with a persisted Data Index deployment and custom pod configuration
    +
    +
    apiVersion: sonataflow.org/v1alpha08
    +kind: SonataFlowPlatform
    +metadata:
    +  name: sonataflow-platform
    +spec:
    +  services:
    +    dataIndex:
    +      enabled: false (1)
    +      persistence:
    +        postgresql:
    +          secretRef:
    +            name: <creds-secret>
    +            userKey: <secret-user-key> (2)
    +          jdbcUrl: "jdbc:postgresql://host:port/database?currentSchema=data-index-service" (3)
    +      podTemplate:
    +        replicas: 1 (4)
    +        container:
    +          image: <image:tag> (5)
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + +
    1Determines whether "prod" profile workflows should be configured to use this service, defaults to true
    2Secret key of your postgresql credentials user, defaults to POSTGRESQL_USER
    3PostgreSql JDBC URL
    4Number of Data Index pods, defaults to 1
    5Custom Data Index container image name
    +
    +
    +
    +
    +
    +

    Cluster-Wide Supporting Services

    +
    +
    +

    The SonataFlowClusterPlatform CR is optionally used to specify a cluster-wide set of supporting services for workflow consumption. This is done by referencing an existing, namespaced SonataFlowPlatform resource.

    +
    +
    +

    Following is a basic configuration. It will allow workflows cluster-wide to leverage whatever supporting services are configured in the chosen "central" namespace.

    +
    +
    +
    Example of a basic SonataFlowClusterPlatform CR
    +
    +
    apiVersion: sonataflow.org/v1alpha08
    +kind: SonataFlowClusterPlatform
    +metadata:
    +  name: cluster-platform
    +spec:
    +  platformRef:
    +    name: sonataflow-platform
    +    namespace: <central namespace>
    +
    +
    +
    + + + + + +
    + + +
    +

    These cluster-wide services can be overridden in any namespace, by configuring that namespace’s SonataFlowPlatform.spec.services.

    +
    +
    +
    +
    +
    + +
    +

    Found an issue?

    +
    +
    +

    If you find an issue or any misleading information, please feel free to report it here. +We really appreciate it!

    +
    +
    +
    +
    +
    +
    +
    +
    +

    Adapted from Antora default UI, (c) 2019

    +
    + + + + + + diff --git a/docs/latest/serverless-logic/supporting-services/data-index/data-index-usecase-multi.html b/docs/latest/serverless-logic/cloud/operator/using-persistence.html similarity index 51% rename from docs/latest/serverless-logic/supporting-services/data-index/data-index-usecase-multi.html rename to docs/latest/serverless-logic/cloud/operator/using-persistence.html index fb19a89c..7c3549a7 100644 --- a/docs/latest/serverless-logic/supporting-services/data-index/data-index-usecase-multi.html +++ b/docs/latest/serverless-logic/cloud/operator/using-persistence.html @@ -3,10 +3,10 @@ - Deploying Data Index and multiple OpenShift Serverless Logic application on Minikube :: Red Hat OpenShift Serverless previews - - - + Using persistence in the SonataFlow Workflow CR :: Red Hat OpenShift Serverless previews + + + @@ -121,19 +121,34 @@

    Documentation

  • + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,71 +310,56 @@

    Documentation

    Persistence @@ -520,106 +613,103 @@

    Documentation

    -

    Deploying Data Index and multiple OpenShift Serverless Logic application on Minikube

    +

    Using persistence in the SonataFlow Workflow CR

    -

    This document describes how to deploy a multiple OpenShift Serverless Logic workflow applications and the Data Index service using a local Kubernetes cluster, such as Minikube, using the Serverless Logic Operator.

    +

    This document describes how to configure a SonataFlow instance to use persistence to store the flow’s context in a relational database.

    -
    -

    For more information about Minikube and related system requirements, see Getting started with Minikube documentation.

    -
    -

    This use case is intended to represent an installation with:

    -
    -
    -
      -
    • -

      A singleton Data Index Service with PostgreSQL persistence

      -
    • -
    • -

      The greeting workflow (no persistence), that is configured to register events to the Data Index Service.

      -
    • -
    • -

      The helloworld workflow (no persistence), that is configured to register events to the Data Index Service.

      -
    • -
    • -

      Both workflows are configured to register the process events on the Data Index Service.

      -
    • + +
    +
    +

    Configuring the SonataFlow CR to use persistence

    +
    -

    You can directly access the UseCase2 example application we are going to follow at OpenShift Serverless Logic Data Index Use Cases with operator.

    +

    Kubernetes’s pods are stateless by definition. In some scenarios, this can be a challenge for workloads that require maintaining the status of +the application regardless of the pod’s lifecycle. In the case of OpenShift Serverless Logic, the context of the workflow is lost when the pod restarts. +If your workflow requires recovery from such scenarios, you must to make these additions to your workflow CR: +Use the persistence field in the SonataFlow workflow spec to define the database service located in the same cluster. +There are 2 ways to accomplish this:

    -
    Prerequisites
    • -

      Minikube installed with registry addon enabled

      -
    • -
    • -

      kubectl command-line tool is installed. Otherwise, Minikube handles it.

      -
    • -
    • -

      OpenShift Serverless Logic operator installed if workflows are deployed. To install the operator you can see Install the Serverless Logic Operator.

      +

      Using the Platform CR’s defined persistence +When the Platform CR is deployed with its persistence spec populated it enables workflows to leverage its configuration to populate the persistence +properties in the workflows.

    -
    - - - - - -
    - - -
    -

    We recommend that you start Minikube with the following parameters, note that the registry addon must be enabled.

    -
    -
    minikube start --cpus 4 --memory 10240 --addons registry --addons metrics-server --insecure-registry "10.0.0.0/24" --insecure-registry "localhost:5000"
    +
    ---
    +apiVersion: sonataflow.org/v1alpha08
    +kind: SonataFlowPlatform
    +metadata:
    +  name: sonataflow-platform
    +spec:
    +  persistence:
    +    postgresql:
    +      secretRef:
    +        name: postgres-secrets
    +        userKey: POSTGRES_USER
    +        passwordKey: POSTGRES_PASSWORD
    +      serviceRef:
    +        name: postgres
    +        port: 5432
    +        databaseName: sonataflow
    +        databaseSchema: shared
    +  build:
    +    config:
    +      strategyOptions:
    +        KanikoBuildCacheEnabled: "true"
    +---
    -

    To verify that the registry addon was property added you can execute this command:

    +

    The values of POSTGRES_USER and POSTGRES_PASSWORD are the keys in the Kubernetes secret that contains the credentials to connect to the postgreSQL instance. +The SonataFlow Workflow CR +is defined with its Persistence field defined as empty.

    -
    minikube addons list | grep registry
    -
    +
    apiVersion: sonataflow.org/v1alpha08
    +kind: SonataFlow
    +metadata:
    +  name: callbackstatetimeouts
    +  annotations:
    +    sonataflow.org/description: Callback State Timeouts Example k8s
    +    sonataflow.org/version: 0.0.1
    +spec:
    +  persistence: {}
    +  ...
    +---
    -
    -
    -
    | registry                    | minikube | enabled ✅   | Google                         |
    -| registry-aliases            | minikube | disabled     | 3rd party (unknown)            |
    -| registry-creds              | minikube | disabled     | 3rd party (UPMC Enterprises)   |
    -
    -
    -
    -

    You can check the Minikube installation by entering the following commands in a command terminal:

    -
    -
    -
    Verify Minikube version
    -
    -
    minikube version
    -
    -
    -
    -
    Verify kubectl CLI version
    -
    -
    kubectl version
    -
    +

    This configuration signals the operator that the workflow requires persistence and that it expects its configuration to be populated accordingly. +The operator will add the relevant JDBC properties in the application.properties +generated and as part of the pod´s environment so that it can connect to the persistence service defined in the Platform CR.

    @@ -629,208 +719,61 @@

    Deploying Data Index and multiple OpenShift Serverless Logic application on

    -

    If kubectl is not installed, then Minikube handles it when you execute the following command:

    -
    -
    -
    kubectl is available using Minikube
    -
    -
    alias kubectl="minikube kubectl --"
    -
    +

    Currently, PostgreSQL is the only persistence supported.

    -
    -
    Procedure
    -
      -
    1. -

      After cloning the OpenShift Serverless Logic examples repository. Open a terminal and run the following commands

      -
      -
      -
      -
      -
      cd serverless-operator-examples/serverless-workflow-dataindex-use-cases/
      -
      -
      -
      -
      -
    2. +
      +
      • -

        Create the namespace:

        -
        -
        -
        -
        -
        kubectl create namespace usecase2
        -
        -
        -
        -
        +

        Using the custom defined persistence in the SonataFlow CR

      • -
      • -

        Deploy the Data Index Service and postgresql database:

        -
        -
        -
        -

        Unresolved include directive in modules/serverless-logic/pages/supporting-services/data-index/data-index-usecase-multi.adoc - include::common/_dataindex_deployment_operator.adoc[]

        -
        -
        -

        Perform the deployments executing

        -
        -
        -
        -
        kubectl kustomize infra/dataindex | kubectl apply -f - -n usecase2
        -
        -
        -
        -
        -
        configmap/dataindex-properties-hg9ff8bff5 created
        -secret/postgres-secrets-22tkgc2dt7 created
        -service/data-index-service-postgresql created
        -service/postgres created
        -persistentvolumeclaim/postgres-pvc created
        -deployment.apps/data-index-service-postgresql created
        -deployment.apps/postgres created
        -
        -
        -
        -

        Give some time for the data index to start, you can check that it’s running by executing.

        -
        -
        -
        -
        kubectl get pod -n usecase2
        -
        -
        -
        -
        -
        NAME                                             READY   STATUS    RESTARTS       AGE
        -data-index-service-postgresql-5d76dc4468-lb259   1/1     Running   0              2m11s
        -postgres-7f78499688-lc8n6                        1/1     Running   0              2m11s
        -
        -
        -
        -
        -
      • -
      • -

        Deploy the workflow:

        -
        -
        -
        -

        Here you can find the use case kustomization required to deploy the workflow

        -
        -
        -
        Use case kustomization.yaml resources that deploys the workflow
        -
        -
        resources:
        -- ../../infra/service_discovery
        -- ../../workflows/sonataflow-greeting
        -- ../../workflows/sonataflow-helloworld
        -
        -
        -
        -

        To see in more detail access to Building and Deploying Workflows with the Operator

        +
      -

      Perform the deployment executing

      +

      Alternatively, you can define a dedicated configuration in the SonataFlow CR instance using the same schema format found in the Platform CRD:

      -
       kubectl kustomize usecases/usecase2 | kubectl apply -f - -n usecase2
      -
      -
      -
      -
      -
      configmap/greeting-props created
      -configmap/helloworld-props created
      -sonataflow.sonataflow.org/greeting created
      -sonataflow.sonataflow.org/helloworld created
      +
      apiVersion: sonataflow.org/v1alpha08
      +kind: SonataFlow
      +metadata:
      +  name: callbackstatetimeouts
      +  annotations:
      +    sonataflow.org/description: Callback State Timeouts
      +    sonataflow.org/version: 0.0.1
      +spec:
      +  persistence:
      +    postgresql:
      +      secretRef:
      +        name: postgres-secrets
      +        userKey: POSTGRES_USER
      +        passwordKey: POSTGRES_PASSWORD
      +      serviceRef:
      +        name: postgres
      +        port: 5432
      +        databaseName: sonataflow
      +        databaseSchema: callbackstatetimeouts
      +  ...
      +---
      -

      Give some time for the sonataflow operator to build and deploy the workflow. -To check that the workflow is ready you can use this command.

      -
      -
      -
      -
      kubectl get workflow -n usecase2
      -
      +

      Like in the Platform CR case, the values of the POSTGRES_USER and POSTGRES_PASSWORD are the secret keys in the secret that contain the credentials to connect to +the PostgreSQL instace.

      -
      -
      -
      NAME       PROFILE   VERSION   URL   READY   REASON
      -greeting             0.0.1           True
      -helloworld           0.0.1           True
      -
      -
      -
    -
    - -
  • -

    Expose the workflows and get the urls:

    -
    -
    -
    -
    -
    kubectl patch svc greeting helloworld -p '{"spec": {"type": "NodePort"}}' -n usecase2
    -
    -
    -
    minikube service greeting --url -n usecase2
    -
    -
    -
    -
    -
    minikube service helloworld --url -n usecase2
    -
    -
    -
    -
    -
  • -
  • -

    Create a workflow instance:

    -
    -
    -
    -

    You must use the URLs calculated in step 5.

    -
    -
    -
    -
    curl -X POST -H 'Content-Type:application/json' -H 'Accept:application/json' -d '{"name": "John", "language": "English"}'    http://192.168.49.2:32407/greeting
    -
    -
    -
    -
    -
    curl -X POST -H 'Content-Type:application/json' -H 'Accept:application/json' -d '{}'    http://192.168.49.2:32327/helloworld
    -
    -
    -
    -
    -
  • -
  • -

    Clean the use case:

    -
    -
    -
    -
    -
    kubectl delete namespace usecase2
    -
    -
    -
    -
    -
  • - -
    +
    +

    Conclusion

    +
    -

    Unresolved include directive in modules/serverless-logic/pages/supporting-services/data-index/data-index-usecase-multi.adoc - include::common/_querying_dataindex.adoc[]

    -
    +

    You can enable SQL persistence in your workflows by configuring each SonataFlow CR instance. And when the SonataFlowPlatform CR contains the persistence field configured, +the operator uses this information to configure those SonataFlow CRs that request persistence. When both the Platform CR and the SonataFlow CR contain persistence +configuration, the operator will use the Persistence values from the SonataFlow CR.

    -
    +
    +
    +

    Found an issue?

    +
    -

    Unresolved include directive in modules/serverless-logic/pages/supporting-services/data-index/data-index-usecase-multi.adoc - include::../../pages/_common-content/report-issue.adoc[]

    +

    If you find an issue or any misleading information, please feel free to report it here. +We really appreciate it!

    diff --git a/docs/latest/serverless-logic/cloud/operator/workflow-status-conditions.html b/docs/latest/serverless-logic/cloud/operator/workflow-status-conditions.html index c3f67bb8..2e91dc07 100644 --- a/docs/latest/serverless-logic/cloud/operator/workflow-status-conditions.html +++ b/docs/latest/serverless-logic/cloud/operator/workflow-status-conditions.html @@ -121,19 +121,34 @@

    Documentation

    + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -364,32 +337,29 @@

    Documentation

    + - - - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -771,7 +864,7 @@

    <

    Serverless Logic Operator Known Issues, Limitations and Roadmap

  • -

    Developing Workflow with the Operator

    +

    Developing Workflows with the Operator

  • Building and Deploying Workflows with the Operator

    @@ -784,7 +877,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/cloud/quarkus/build-workflow-image-with-quarkus-cli.html b/docs/latest/serverless-logic/cloud/quarkus/build-workflow-image-with-quarkus-cli.html deleted file mode 100644 index 9cd24a6e..00000000 --- a/docs/latest/serverless-logic/cloud/quarkus/build-workflow-image-with-quarkus-cli.html +++ /dev/null @@ -1,1029 +0,0 @@ - - - - - - Building workflow images using Quarkus CLI :: Red Hat OpenShift Serverless previews - - - - - - - - - - - - - -
    - -
    - -
    -
    -
    -

    Building workflow images using Quarkus CLI

    -
    -
    -
    -

    This document describes how to build a Serverless Application Container image using the Quarkus CLI.

    -
    -
    -
    Prerequisites
    -
      -
    • -

      A workflow project is created.

      -
      -

      For more information about creating a workflow project, see Creating your first Serverless Workflow service.

      -
      -
    • -
    • -

      Latest version of Docker is installed. Alternatively, you can use Jib to build container images. However, Docker is required to build GraalVM native image using the Quarkus native builder image.

      -
    • -
    • -

      Optionally, GraalVM 22.3.0 is installed.

      -
    • -
    -
    -
    -

    Quarkus provides a few extensions to build container images, such as Jib, docker, s2i, and buildpacks. For more information about the Quarkus extensions, see the Quarkus documentation.

    -
    -
    -

    The examples in this document assume that you have the Quarkus tooling installed. For more information about the tooling, see Getting familiar with OpenShift Serverless Logic tooling.

    -
    -
    - -
    -
    -

    Using an example application

    -
    -
    -

    To get started with building workflow images, you can use the serverless-workflow-greeting-quarkus example application.

    -
    -
    - - - - - -
    - - -You can skip the following procedure if you already have a workflow application. -
    -
    -
    -
    Procedure
    -
      -
    1. -

      Clone the kogito-examples repository and navigate to the serverless-workflow-greeting-quarkus example application.

      -
      -
      Clone an example application
      -
      -
      git clone --branch main https://github.com/kiegroup/kogito-examples.git
      -cd kogito-examples/serverless-workflow-examples/serverless-workflow-greeting-quarkus
      -
      -
      -
    2. -
    3. -

      To run the example application, follow the instructions in Creating your first workflow service.

      -
    4. -
    5. -

      Install the Quarkus command line interface (CLI). For more information, see Installing the Quarkus CLI.

      -
    6. -
    7. -

      Add the required Quarkus extension using Quarkus CLI:

      -
      -
      -
      - - - - - -
      - - -
      Add the Jib extension
      -
      -

      The kogito-examples already have this extension added by default, and can be activated with the container Maven profile.

      -
      -
      -
      -
      -

      The steps to add the extension in your Serverless Workflow application are:

      -
      -
      -
      -
      quarkus extension add 'container-image-jib'
      -
      -
      -
      -

      After adding the Jib extension, you can verify the newly added dependency in the pom.xml file:

      -
      -
      -
      Verify the Jib extension
      -
      -
      <dependency>
      -  <groupId>io.quarkus</groupId>
      -  <artifactId>quarkus-container-image-jib</artifactId>
      -</dependency>
      -
      -
      -
      -
      -
    8. -
    -
    -
    -
    -
    -

    Building the workflow application

    -
    -
    -

    After installing the required tooling, you can start building your workflow application.

    -
    -
    -
    Prerequisites
    -
      -
    • -

      You have created a Quarkus project.

      -
    • -
    • -

      Quarkus CLI is installed. -For more information about installing the Quarkus CLI, see Installing the Quarkus CLI.

      -
    • -
    -
    -
    -
    Procedure
    -
      -
    1. -

      In a command terminal, navigate to your Quarkus project.

      -
    2. -
    3. -

      To build your workflow application on Quarkus, set the quarkus.container-image.build property value to true and run the following command:

      -
      -
      -
      -
      Build your workflow application
      -
      -
      quarkus build -Dquarkus.container-image.build=true
      -
      -
      -
      -

      The previous command builds your image with name: {system_username}/{project_artifactId}:{project_version}.

      -
      -
      -

      Optionally, you can set the following properties to specify the image:

      -
      -
      -
        -
      • -

        quarkus.container-image.registry: To define the registry address of the image, such as quay.io. When using OpenShift use the provided registry.

        -
      • -
      • -

        quarkus.container-image.group: To define the registry namespace of the image. For example, context/namespace or in case of Kubernetes or OpenShift namespace/project.

        -
      • -
      • -

        quarkus.container-image.name: To override the image name. By default, this property uses artifact ID.

        -
      • -
      -
      -
      -
      Build your workflow application with specific image information
      -
      -
      quarkus build -Dquarkus.container-image.build=true \
      -    -Dquarkus.container-image.group=kogito \
      -    -Dquarkus.container-image.name=serverless-workflow-greeting-quarkus \
      -    -Dquarkus.container-image.tag=1.0 \
      -    -Dquarkus.container-image.registry=quay.io
      -
      -
      -
      - - - - - -
      - - -
      -

      The added Jib extension caches the target/lib directory. Based on the size of your project, Jib speeds up the rebuilds.

      -
      -
      -
      -
      -
      -
    4. -
    5. -

      You can also push your workflow application to the defined registry. You need to set the quarkus.container-image.push property value to true (default value is false).

      -
      -
      Example of pushing the built workflow application to a registry
      -
      -
      quarkus build -Dquarkus.container-image.build=true \
      -    -Dquarkus.container-image.group=kogito \
      -    -Dquarkus.container-image.name=serverless-workflow-greeting-quarkus \
      -    -Dquarkus.container-image.tag=1.0 \
      -    -Dquarkus.container-image.registry=quay.io \
      -    -Dquarkus.container-image.push=true
      -
      -
      -
      -

      The previous command results in the following container image pushed to quay.io:

      -
      -
      -

      quay.io/kogito/serverless-workflow-greeting-quarkus:1.0

      -
      -
    6. -
    7. -

      Alternatively, you can create an Apache Maven profile to build the container image, which can be triggered by setting the target profile.

      -
      -
      -
      -
      Example Apache Maven profile
      -
      -
      <profile>
      -  <id>build-container</id>
      -  <properties>
      -    <quarkus.container-image.build>true</quarkus.container-image.build>
      -    <quarkus.container-image.group>kogito</quarkus.container-image.group>
      -    <quarkus.container-image.name>serverless-workflow-greeting-quarkus</quarkus.container-image.name>
      -    <quarkus.container-image.tag>1.0</quarkus.container-image.tag>
      -    <quarkus.container-image.registry>quay.io</quarkus.container-image.registry>
      -    <quarkus.container-image.push>true</quarkus.container-image.push>
      -  </properties>
      -</profile>
      -
      -
      -
      -

      You can activate the created Apache Maven profile using Quarkus CLI:

      -
      -
      -
      Activate the Apache Maven profile
      -
      -
       quarkus build -- -Pbuild-container
      -
      -
      -
      -
      -
    8. -
    -
    -
    -

    Building the workflow application using a native image

    -
    -

    When it comes to workflows, a small startup footprint is expected, which can be better when using the native builds to build a workflow application.

    -
    -
    -
    Prerequisites
    -
      -
    • -

      You have created a Quarkus project.

      -
    • -
    • -

      Quarkus CLI is installed. -For more information about installing the Quarkus CLI, see Installing the Quarkus CLI.

      -
    • -
    -
    -
    -
    Procedure
    -
      -
    1. -

      In a command terminal, navigate to your Quarkus project.

      -
    2. -
    3. -

      To build a native image, pass the --native flag using Quarkus CLI:

      -
      -
      -
      -
      Example of building a native image
      -
      -
      quarkus build --native -Dquarkus.container-image.build=true \
      -    -Dquarkus.container-image.group=kogito \
      -    -Dquarkus.container-image.name=serverless-workflow-greeting-quarkus \
      -    -Dquarkus.container-image.tag=1.0-native \
      -    -Dquarkus.container-image.registry=quay.io
      -
      -
      -
      -

      The previous command results in the following container image:

      -
      -
      -

      quay.io/kogito/serverless-workflow-greeting-quarkus:1.0-native

      -
      -
      - - - - - -
      - - -
      -

      In case GraalVM is not installed, you can set the -Dquarkus.native.container-build=true system property, which creates a Linux executable.

      -
      -
      -
      -
      - - - - - -
      - - -
      Configure Docker to use the in-cluster (Remote) Docker daemon
      -
      -

      When build Container Images using a remote Docker Daemon, i.e. Minikube, you need to use the following system property instead of -Dquarkus.native.container-build=true

      -
      -
      -
      System property to use a remote Docker Daemon
      -
      -
      -Dquarkus.native.remote-container-build=true
      -
      -
      -
      -
      -
      -

      For more information about native builds, see Building a native executable.

      -
      -
      -
      -
    4. -
    -
    -
    -
    -
    -
    -

    Testing your workflow image

    -
    -
    -

    After building your workflow image using Quarkus CLI, you can test the built image.

    -
    -
    -
    Prerequisites
    -
      -
    • -

      Latest version of Docker is installed.

      -
    • -
    -
    -
    -
    Procedure
    -
      -
    1. -

      Start JVM and native Container Images.

      -
      -
      -
      -
      -
        -
      • -

        Example JVM image

        -
      • -
      • -

        Example native image

        -
      • -
      -
      -
      -
      -
      -
      -
      docker run -it -p 8080:8080 quay.io/kogito/serverless-workflow-greeting-quarkus:1.0
      -...
      -INFO  [io.quarkus] (main) serverless-workflow-greeting-quarkus 1.22.1.Final on JVM (powered by Quarkus 2.9.2.Final) started in 1.302s
      -
      -
      -
      -
      -
      -
      -
      docker run -it -p 8080:8080 quay.io/kogito/serverless-workflow-greeting-quarkus:1.0-native
      -...
      -INFO  [io.quarkus] (main) serverless-workflow-greeting-quarkus 1.22.1.Final native (powered by Quarkus 2.9.2.Final) started in 0.039s
      -
      -
      -
      -
      -
      -
      -

      Note that the startup of native image is faster than the JVM image.

      -
      -
      -
      -
    2. -
    3. -

      To invoke the workflow application, execute the following command once the container is started:

      -
      -
      -
      -
      -
        -
      • -

        Example request

        -
      • -
      • -

        Example response

        -
      • -
      -
      -
      -
      -
      -
      -
      curl -X POST -H 'Content-Type:application/json' -H 'Accept:application/json' -d '{"name": "John", "language": "English"}' http://localhost:8080/jsongreet
      -
      -
      -
      -
      -
      -
      -
      {
      -    "id": "2acf710d-7e4a-481d-925c-dfd85a369987",
      -    "workflowdata": {
      -        "name": "John",
      -        "language": "English",
      -        "greeting": "Hello from JSON Workflow, "
      -    }
      -}
      -
      -
      -
      -
      -
      -
      -
      -
    4. -
    -
    -
    -
    - -
    -

    Found an issue?

    -
    -
    -

    If you find an issue or any misleading information, please feel free to report it here. -We really appreciate it!

    -
    -
    -
    -
    -
    -
    -
    -
    -

    Adapted from Antora default UI, (c) 2019

    -
    - - - - - - diff --git a/docs/latest/serverless-logic/core/cncf-serverless-workflow-specification-support.html b/docs/latest/serverless-logic/core/cncf-serverless-workflow-specification-support.html index a60a6955..6ebc87b9 100644 --- a/docs/latest/serverless-logic/core/cncf-serverless-workflow-specification-support.html +++ b/docs/latest/serverless-logic/core/cncf-serverless-workflow-specification-support.html @@ -121,19 +121,34 @@

    Documentation

  • + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -933,7 +1026,7 @@

    CompensationOpenShift Serverless Logic supports workflow compensation as described in the Serverless Workflow specification definition.

    -

    For more information about compensations, see Saga orchestration example in OpenShift Serverless Logic.

    +

    For more information about compensations, see Saga orchestration example in OpenShift Serverless Logic.

    @@ -973,7 +1066,7 @@

    <
    @@ -239,23 +251,11 @@

    Documentation

    Event Orchestration - - - @@ -323,19 +308,7 @@

    Documentation

    Persistence @@ -363,31 +336,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -398,80 +368,203 @@

    Documentation

    Integrations + + @@ -727,7 +820,7 @@

    Configuration properties in OpenShift Serverless Logic

    quarkus.kogito.devservices.image-name

    Defines the Data Index image to use.

    string

    -

    quay.io/kiegroup/kogito-data-index-ephemeral:main

    +

    registry.redhat.io/openshift-serverless-1-tech-preview/logic-data-index-ephemeral-rhel8:main

    No

    @@ -758,7 +851,7 @@

    Configuration properties in OpenShift Serverless Logic

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/core/custom-functions-support.html b/docs/latest/serverless-logic/core/custom-functions-support.html index 9c804bab..c33169f7 100644 --- a/docs/latest/serverless-logic/core/custom-functions-support.html +++ b/docs/latest/serverless-logic/core/custom-functions-support.html @@ -119,19 +119,34 @@

    Documentation

    + @@ -239,23 +251,11 @@

    Documentation

    Event Orchestration - - - @@ -323,19 +308,7 @@

    Documentation

    Persistence @@ -363,31 +336,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -398,80 +368,203 @@

    Documentation

    Integrations + + @@ -535,7 +628,7 @@

    Custom functions for your OpenShift Serverless Logic service

    The Cloud Native Computing Foundation (CNCF) specification supports the custom function type, which enables the implementations to extend the function definition capability.

    -

    OpenShift Serverless Logic supports the java and sysout custom types.

    +

    OpenShift Serverless Logic supports several custom types, which are listed below.

    @@ -545,7 +638,7 @@

    Custom functions for your OpenShift Serverless Logic service

    @@ -578,7 +671,8 @@

    Custom functions for your OpenShift Serverless Logic service

  • Configurations
  • -
  • Custom function types +
  • Rest custom function
  • +
  • Additional custom function types @@ -768,13 +862,13 @@

    Function accessing contextual data

    -

    If you need access to process contextual information (for example, OpenShift Serverless Logic workflow instance ID) inside your Java service, you can add a KogitoProcessContext parameter as the last one in the method signature.

    +

    If you need access to process contextual information (for example, Kogito process instance ID) inside your Java service, you can add a KogitoProcessContext parameter as the last one in the method signature.

    Therefore, if you need to do so, you can update the signature of methods from previous sections.

    -
    Example of a function accessing { product_name} context
    +
    Example of a function accessing Kogito context
    public class MyInterfaceOrClass {
     public JsonNode myMethod(JsonNode workflowData, KogitoProcessContext context ) {
    @@ -787,7 +881,7 @@ 

    -
    Example of a function accessing OpenShift Serverless Logic context
    +
    Example of a function accessing Kogito context
    public class MyInterfaceOrClass {
     
    @@ -821,7 +915,7 @@ 

    Camel custom function

    -

    OpenShift Serverless Logic supports the Camel Routes functions within an Apache Maven project, in which you define your workflow service.

    +

    Kogito supports the Camel Routes functions within an Apache Maven project, in which you define your workflow service.

  • -

    The CNCF specification does not support java and sysout functions. Therefore, these functions might not be portable across other implementations.

    +

    Custom functions might not be portable across other implementations.

    @@ -831,7 +925,7 @@

    Camel custo

    @@ -867,7 +961,7 @@

    - +
    -

    This section briefly exemplifies how to define and use Camel Routes within your workflow application. For more information, see the Integrating with Camel Routes.

    +

    This section briefly exemplifies how to define and use Camel Routes within your workflow application. For more information, see the Integrating with Camel Routes.

    3camel:direct:myendpoint is the custom operation definition. In this definition, camel is the reserved keyword followed by the direct endpoint. Camel Direct is the only supported consumer by OpenShift Serverless Logic. Finally, myendpoint is the endpoint URI name found in the route within your project’s context.camel:direct:myendpoint is the custom operation definition. In this definition, camel is the reserved keyword followed by the direct endpoint. Camel Direct is the only supported consumer by OpenShift Serverless Logic. Finally, myendpoint is the endpoint URI name found in the route within your project’s context.
    @@ -985,7 +1079,7 @@

    Knative
    -

    This section briefly exemplifies how to define and use Knative custom functions within your workflow application. For more information, see Invoking Knative services from Serverless Workflow.

    +

    This section briefly exemplifies how to define and use Knative custom functions within your workflow application. For more information, see Invoking Knative services from Serverless Workflow.

    @@ -1029,7 +1123,7 @@

    3 -In operation you set the coordinates of the Knative service +In operation you set the coordinates of the Knative service. See Kubernetes Service Discovery for supported Scheme and Kubernetes GVK

    @@ -1314,13 +1408,139 @@

    Request

    -

    Custom function types

    +

    Rest custom function

    +
    +
    +

    Serverless Workflow Specification defines the OpenAPI function type, which is the preferred way to interact with existing REST servers. +However, sometimes a workflow should interact with several REST APIs that are not described using an OpenAPI specification file. Since generating such files for these services might be tedious, OpenShift Serverless Logic offers REST custom type as a shortcut.

    +
    +
    +

    When using custom rest, in the function definition, you specify the HTTP URI to be invoked and the HTTP method (get, post, patch, or put) to be used, using the operation string. When the function is invoked, you pass the request arguments as you do when using an OpenAPI function.

    +
    +
    +

    The following example shows the declaration of a rest function:

    +
    +
    +
    Example of a rest function declaration
    +
    +
    {
    +  "functions": [
    +    {
    +      "name": "multiplyAllByAndSum", (1)
    +      "type": "custom", (2)
    +      "operation": "rest:post:/numbers/{multiplier}/multiplyByAndSum" (3)
    +    }
    +  ]
    +}
    +
    +
    +
    + + + + + + + + + + + + + +
    1multiplyAllAndSum is the function name
    2custom is the function type
    3rest:post:/numbers/{multiplier}/multiplyByAndSum is the custom operation definition. In the custom operation definition: +
    +
      +
    • +

      rest is the reserved operation keyword that indicates this is a REST call.

      +
    • +
    • +

      post is the HTTP method.

      +
    • +
    • +

      /numbers/{multiplier}/multiplyByAndSum is the relative endpoint.

      +
    • +
    +
    +
    +
    +

    When using the relative endpoints you must specify the host as a property. The format of the host property is kogito.sw.functions.<function_name>.host. Therefore, in this example, kogito.sw.functions.multiplyAllByAndSum.host is the host property key. You might override the default port (80) if needed by specifying kogito.sw.functions.multiplyAllAndSum.port property.

    +
    +
    +

    This particular endpoint expects as body a JSON object whose field numbers is an array of integers, multiplies each item in the array by multiplier and returns the sum of all the multiplied items. Therefore, to invoke it, assuming the input array is stored in the workflow model as property inputNumbers, you should write:

    +
    +
    +
    Example of a rest function call
    +
    +
    {
    + "functionRef": {
    +   "refName": "multiplyAllByAndSum",
    +   "arguments": {
    +     "numbers": "$.inputNumbers"
    +     "multiplier": 3 (1)
    +   }
    + }
    +}
    +
    +
    +
    + + + + + +
    1you replace path and query parameters by specifying an argument which name is equal to the path or query parameter. The query or path parameter to be replaced should be enclosed within {} in the endpoint string.
    +
    +
    +

    If inputNumbers contains 1, 2, and 3, the output of the call will be `1*3+2*3+3*3=18.

    +
    +
    +

    In case you want to specify headers in your HTTP request, you might do it by adding arguments starting with the HEADER_ prefix. Therefore if you add "HEADER_ce_id": "123" to the previous argument set, you will be adding a header named ce_id with the value 123 to your request. A similar approach might be used to add query params to a GET request, in that case, you must add arguments starting with the QUERY_ prefix. Note that you can also use {} notation for replacements of query parameters included directly in the operation string.

    +
    +
    +

    For example, given the following function definition that performs a get request

    +
    +
    +
    Example of a get request definition
    +
    +
    {
    +  "functions": [
    +    {
    +      "name": "getProductList",
    +      "type": "custom",
    +      "operation": "rest:get:/products/search?category={category}"
    +    }
    +  ]
    +}
    +
    +
    +
    +

    You can replace {category} specifying an argument with that name, plus adding sort query parameter

    +
    +
    +
    Example of a get request invocation
    +
    +
    {
    + "functionRef": {
    +   "refName": "getProductList",
    +   "arguments": {
    +     "category": "electronics",
    +     "QUERY_sort": "asc"
    +   }
    + }
    +}
    +
    +
    +
    +
    +
    +

    Additional custom function types

    -

    You can add your custom types by using the OpenShift Serverless Logic add-on mechanism. As predefined custom types like sysout or java, the custom type identifier is the prefix of the operation field of the function definition.

    +

    You can add your custom types by using the Kogito add-on mechanism. As predefined custom types like sysout or java, the custom type identifier is the prefix of the operation field of the function definition.

    -

    OpenShift Serverless Logic add-ons relies on the Quarkus extensions mechanism. And the add-on consists of at least two Maven projects:

    +

    Kogito add-ons relies on the Quarkus extensions mechanism. And the add-on consists of at least two Maven projects:

    -

    When a Serverless Workflow function is called, OpenShift Serverless Logic identifies the proper WorkflowWorkItemHandler instance to be used for that function type (using the handler name associated with that type by the deployment project) and then invokes the internalExecute method. The Map parameter contains the function arguments defined in the workflow, and the WorkItem parameter contains the metadata information added to the handler by the deployment project. Hence, the executeWorkItem implementation has an access to all the information needed to perform the computational logic intended for that custom type.

    +

    When a Serverless Workflow function is called, Kogito identifies the proper WorkflowWorkItemHandler instance to be used for that function type (using the handler name associated with that type by the deployment project) and then invokes the internalExecute method. The Map parameter contains the function arguments defined in the workflow, and the WorkItem parameter contains the metadata information added to the handler by the deployment project. Hence, the executeWorkItem implementation has an access to all the information needed to perform the computational logic intended for that custom type.

    @@ -1358,13 +1578,13 @@

    Custom function type example

    -

    Assuming you want to interact, from a workflow file, with a legacy RPC server as the one defined in this project. This legacy server supports four simple arithmetic operations: add, minus, multiply and divide, which can be invoked using a custom RPC protocol.

    +

    Assuming you want to interact, from a workflow file, with a legacy RPC server as the one defined in this project. This legacy server supports four simple arithmetic operations: add, minus, multiply and divide, which can be invoked using a custom RPC protocol.

    Since this is an uncommon protocol, the workflow cannot handle them by using any of the predefined Serverless Workflow function types. The available options are to use a Java service, which invokes a Java class that knows how to interact with the server, or define a custom type that knows how to interact with the service.

    -

    Using the recent approach, you can write a workflow file defining this function.

    +

    Using the recent approach, you can write a workflow file defining this function.

    RPC Custom function definition example
    @@ -1382,10 +1602,10 @@

    -

    A OpenShift Serverless Logic addon that defines the rpc custom type must be developed for this function definition to be identified. It is consist of a deployment project and a runtime project.

    +

    A Kogito addon that defines the rpc custom type must be developed for this function definition to be identified. It is consist of a deployment project and a runtime project.

    -

    The deployment project is responsible for extending the WorkItemTypeHandler and setup the WorkItemNodeFactory as follows:

    +

    The deployment project is responsible for extending the WorkItemTypeHandler and setup the WorkItemNodeFactory as follows:

    Example of the RPC function Java implementation
    @@ -1415,7 +1635,7 @@

    -

    The Runtime project contains the KogitoWorkItemHandler and the WorkItemHandlerConfig implementations.

    +

    The Runtime project contains the KogitoWorkItemHandler and the WorkItemHandlerConfig implementations.

    As expected, RPCCustomWorkItemHandler implements the internalExecute method as follows:

    @@ -1441,7 +1661,7 @@

    -

    The implementation invokes the CalculatorClient.invokeOperation, a java static method that knows how to interact with the legacy service. You can obtain the operation parameter from the WorkItem metadata. The dividend and the divisor parameters are obtained from the Map parameter, which contains the function arguments defined in the workflow file.

    +

    The implementation invokes the CalculatorClient.invokeOperation, a java static method that knows how to interact with the legacy service. You can obtain the operation parameter from the WorkItem metadata. The dividend and the divisor parameters are obtained from the Map parameter, which contains the function arguments defined in the workflow file.

    Example of the custom function call from the workflow definition
    @@ -1498,7 +1718,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/core/defining-an-input-schema-for-workflows.html b/docs/latest/serverless-logic/core/defining-an-input-schema-for-workflows.html index e34d855e..29f4387f 100644 --- a/docs/latest/serverless-logic/core/defining-an-input-schema-for-workflows.html +++ b/docs/latest/serverless-logic/core/defining-an-input-schema-for-workflows.html @@ -121,19 +121,34 @@

    Documentation

    + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -575,7 +668,7 @@

    Output sche "schema" : "URL_to_json_schema", "failOnValidationErrors": false } - ] + } ]

    @@ -587,7 +680,7 @@

    Output sche

    Example with dataInputSchema and outputSchema

    -

    You can see the serverless-workflow-expression-quarkus example application of a workflow definition with dataInputSchema and outputSchema.

    +

    You can see the serverless-workflow-expression-quarkus example application of a workflow definition with dataInputSchema and outputSchema.

    @@ -636,7 +729,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/core/handling-events-on-workflows.html b/docs/latest/serverless-logic/core/handling-events-on-workflows.html index 02a93f81..0816b4de 100644 --- a/docs/latest/serverless-logic/core/handling-events-on-workflows.html +++ b/docs/latest/serverless-logic/core/handling-events-on-workflows.html @@ -119,19 +119,34 @@

    Documentation

    + @@ -239,23 +251,11 @@

    Documentation

    Event Orchestration - - - @@ -323,19 +308,7 @@

    Documentation

    Persistence @@ -363,31 +336,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -398,80 +368,203 @@

    Documentation

    Integrations + + @@ -689,13 +782,13 @@

    < @@ -705,7 +798,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/core/timeouts-support.html b/docs/latest/serverless-logic/core/timeouts-support.html index 90edb56e..8a73229c 100644 --- a/docs/latest/serverless-logic/core/timeouts-support.html +++ b/docs/latest/serverless-logic/core/timeouts-support.html @@ -121,19 +121,34 @@

    Documentation

    + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -541,6 +634,20 @@

    Timeouts in OpenShift Serverless Logic

    Regardless of its application scope (workflow or state), the timeouts must be configured as an amount of time (a duration), which is considered to start when the referred scope becomes active. Timeouts use the ISO 8601 data and time standard to specify a duration of time and follow the format PnDTnHnMn.nS with days considered to be exactly 24 hours. For instance, PT15M configures 15 minutes, and P2DT3H4M defines 2 days, 3 hours and 4 minutes.

    +
    + + + + + +
    + + +
    +

    Month based timeouts like P2M (period of two months) are not valid since the month duration might vary. In that case you can use PT60D instead.

    +
    +
    +
    @@ -782,13 +889,13 @@

    E

    Deploying a timed-based workflow

    -

    To deploy a workflow that uses timeouts, or any other timer-based action, it is necessary to have a {job_service_xref}[job service] running in your environment, which is an independent service responsible to control the workflows timers, see the {job_service_xref}#integration-with-the-workflows[job service] for more information. +

    To deploy a workflow that uses timeouts, or any other timer-based action, it is necessary to have a job service running in your environment, which is an independent service responsible to control the workflows timers, see the job service for more information. The provisioning of this service depends on the work mode that you are using.

    Serverless Logic Operator Dev Profile

    -

    When you work with the Serverless Logic Operator Dev Profile, the operator will automatically provide an execution environment that contains an embedded {job_service_xref}[job service] instance, as well as an instance of the {data_index_xref}[data index service]. +

    When you work with the Serverless Logic Operator Dev Profile, the operator will automatically provide an execution environment that contains an embedded job service instance, as well as an instance of the data index service. And thus, there is no need for additional configurations.

    @@ -811,7 +918,7 @@

    -

    In the {job_service_xref}[job service] guide you can see all the available add-ons and configuration alternatives for this case.

    +

    In the job service guide you can see all the available add-ons and configuration alternatives for this case.

    @@ -820,7 +927,7 @@

    Timeouts showcase

    -

    To see the examples about how configure the timeouts, and execute them in different deployment scenarios, you can use the Timeouts showcase in OpenShift Serverless Logic

    +

    To see the examples about how configure the timeouts, and execute them in different deployment scenarios, you can use the Timeouts showcase in OpenShift Serverless Logic

    @@ -840,7 +947,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/core/understanding-jq-expressions.html b/docs/latest/serverless-logic/core/understanding-jq-expressions.html index 6f664b01..66bb391f 100644 --- a/docs/latest/serverless-logic/core/understanding-jq-expressions.html +++ b/docs/latest/serverless-logic/core/understanding-jq-expressions.html @@ -121,19 +121,34 @@

    Documentation

    + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -540,24 +633,52 @@

    jq Expressions

    The workflow expressions in the Serverless Workflow specification are used to interact with the data model. The supported expression languages include JsonPath and jq. jq expression language is the default language. However, you can change the expression language to JsonPath using the expressionLang property.

    -

    This document describes the usage of jq expressions in switch state conditions, action function arguments, and data filtering.

    +

    This document describes the usage of jq expressions in functions, switch state conditions, action function arguments, data filtering, and event publishing.

    -

    JQ expression might be tricky to master, for non trivial cases, it is recommended to use helper tools like JQ Play to validate the expression before including it in the workflow file.

    +

    JQ expression might be tricky to master, for non trivial cases, it is recommended to use helper tools like JQ Play to validate the expression before including it in the workflow file.

    +

    Example of jq expression in functions

    +
    +
    +

    Expressions can be used in functions of type expression to manipulate the workflow model. As with any other function, the result of the expression evaluation will be merged into the model.

    +
    +
    +

    For example, in the serverless-workflow-expression-quarkus example application, a max function adds to the model two properties: max, containing the maximum value of x coordinate in the numbers array (which is a workflow input parameter) and min, containing the minimum value of y coordinate

    +
    +
    +
    Example conditions in serverless-workflow-expression-quarkus
    +
    +
      {
    +      "name": "max",
    +      "type": "expression",
    +      "operation": "{max: .numbers | max_by(.x), min: .numbers | min_by(.y)}"
    +    }
    +
    +
    +
    +
    +

    Example of jq expressions in switch conditions

    @@ -567,7 +688,7 @@

    -

    For example, in the serverless-workflow-greeting-quarkus example application, a message is displayed depending on the selected language, that is English or Spanish.

    +

    For example, in the serverless-workflow-greeting-quarkus example application, a message is displayed depending on the selected language, that is English or Spanish.

    If the value of the language property is English, the constant literal injected on the message property is Hello from, otherwise the constant value injected on the message property is Saludos desde….

    @@ -618,7 +739,7 @@

    workflow functions, which can be invoked several times by the workflow states. Each workflow function call might contain different arguments, which are specified using the function arguments.

    -

    For example, you can see the temperature conversion function definition in serverless-workflow-temperature-conversion example application. The temperature conversion function performs OpenAPI invocations to convert Fahrenheit to Celsius. For more information about OpenAPI, see Orchestrating the OpenAPI services.

    +

    For example, you can see the temperature conversion function definition in serverless-workflow-temperature-conversion example application. The temperature conversion function performs OpenAPI invocations to convert Fahrenheit to Celsius. For more information about OpenAPI, see Orchestrating the OpenAPI services.

    Following is the subtraction function in serverless-workflow-temperature-conversion example application:

    @@ -693,7 +814,7 @@

    -

    You can see serverless-workflow-expression-quarkus example application, in which actions and state data filters are used.

    +

    You can see serverless-workflow-expression-quarkus example application, in which actions and state data filters are used.

    @@ -784,7 +905,7 @@

    -

    You can find an example of event data filtering in the serverless-workflow-callback-quarkus example application.

    +

    You can find an example of event data filtering in the serverless-workflow-callback-quarkus example application.

    Example event filter
    @@ -810,12 +931,105 @@

    +

    Example of jq expressions in event publishing.

    +
    +
    +
    +
    +

    When publishing a Cloud Event, you can select the data that is being published using a jq expression that generates a JSON object. Note that in yaml double quotes are required to allow using {} characters.

    +
    +
    +
    Example data expression returning an object
    +
    +
    transition:
    +      nextState: WaitForSaveTransformationCompletionEvent
    +      produceEvents:
    +        - eventRef: saveTransformationEvent
    +          data: "{gitRepo:.repositoryURL|sub(\"http(s)?://\";\"ssh://\"), branch: .targetBranch, token: .token, workspaceId: .workspaceId, projectId: .projectId, transformId: .transformId, workflowCallerId: $WORKFLOW.instanceId}"
    +
    +
    +
    +

    In the previous example, a CloudEvent was published when the state transitioned. Its data field looks like

    +
    +
    +
    Example of generated event
    +
    +
    data={"gitRepo":"ssh://bitbucket.org/m2k-test","branch":"aaaaaaasssss","token":null,"workspaceId":"b93980cb-3943-4223-9441-8694c098eeb9","projectId":"9b305fe3-d441-48ce-b01b-d314e86e14ec","transformId":"723dce89-c25c-4c7b-9ef3-842de92e6fe6","workflowCallerId":"7ddb5193-bedc-4942-a857-596b31f377ed"}
    +
    +
    +
    +
    +
    +

    +
    +

    Workflow secrets, constants and context

    +
    +
    +

    As per specification, you can use Workflow Constants and Workflow Secrets whenever an expression is accepted. +In OpenShift Serverless Logic you can use $SECRET to access any configuration property, not just sensitive ones. +So, assuming you have added to your application.properties a line with the myname=john property, the following function will append the string my name is john to the message variable

    +
    +
    +
    +
    {
    +      "name": "secretMessage",
    +      "type": "expression",
    +      "operation": ".message |= \"my name is \"+$SECRET.my_name"
    +}
    +
    +
    +
    +

    $SECRET always returns a value of type string. If you want to use it in a comparison with a value that is not a string, you must perform the conversion explicitly. In the next example, the retries property is a number, so we need to convert the property value accordingly by calling the tonumber built-in jq function.

    +
    +
    +
    +
    {
    +  "condition": ".retries > ($SECRET._max_retries|tonumber)"
    +}
    +
    +
    +
    +

    Besides constants and secrets, you might access contextual information of the running workflow by using the $WORKFLOW reserved word. +OpenShift Serverless Logic supports the following contextual keys: + * id: The id of the running workflow definition + * name: The name of the running workflow definition + * instanceId: The id of the running workflow instance + * headers: Optional map containing the headers, if any, of the invocation that started the running workflow instance + * prevActionResult: In a foreach state using multiple actions per loop cycle, give access to the result of the previous action. See example + * identity: Quarkus security identity

    +
    +
    +
    +
    Therefore, the following function, for a serverless workflow definition whose id  is `expressionTest`, will append the string `worklow id is expressionTest` to the `message` variable
    +
    +
    +
    +
    +
    {
    +      "name": "contextMessage",
    +      "type": "expression",
    +      "operation": ".message |= \"workflow id is \"+$WORKFLOW.id"
    +}
    +
    +
    +
    +

    Customizing workflow context

    +
    +

    In addition to the predefined keys mentioned previously, you can add your own keys to workflow context using Java Service Loader mechanism, by providing an implementation of class KogitoProcessContextResolverExtension

    +
    +
    +

    This feature was used to add quarkus security identity support, you can check source code as reference here.

    +
    +
    +
    +
    +

    Additional resources

    @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -690,7 +783,7 @@

    Example of error handling

    -

    The workflow in the serverless-workflow-error-quarkus example application illustrate the usage of the error handling mechanism.

    +

    The workflow in the serverless-workflow-error-quarkus example application illustrate the usage of the error handling mechanism.

    -

    The workflow accepts an integer number as the input model. When the workflow starts, it invokes the isEven Java service, which accepts that integer number as a parameter. This service throws an IllegalArgumentException exception if the integer number is odd. This means that if the integer number is even, the workflow transitions to the even state, however, if the integer number is odd, the workflow transitions to the odd state, resulting in a different model output.

    +

    The workflow accepts an integer number as the input model. When the workflow starts, it invokes the isEven Java service, which accepts that integer number as a parameter. This service throws an IllegalArgumentException exception if the integer number is odd. This means that if the integer number is even, the workflow transitions to the even state, however, if the integer number is odd, the workflow transitions to the odd state, resulting in a different model output.

    Example checkEven state
    @@ -811,7 +904,7 @@

    < @@ -821,7 +914,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/core/working-with-callbacks.html b/docs/latest/serverless-logic/core/working-with-callbacks.html index 974821d2..33a59d59 100644 --- a/docs/latest/serverless-logic/core/working-with-callbacks.html +++ b/docs/latest/serverless-logic/core/working-with-callbacks.html @@ -119,19 +119,34 @@

    Documentation

    + @@ -239,23 +251,11 @@

    Documentation

    Event Orchestration - - - @@ -323,19 +308,7 @@

    Documentation

    Persistence @@ -363,31 +336,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -398,80 +368,203 @@

    Documentation

    Integrations + + @@ -552,156 +645,28 @@

    Callbacks in OpenShift Serverless Logic

    -

    Example of Callback state

    -
    -
    -

    To understand the Callback state, see the serverless-workflow-callback-quarkus example application in GitHub repository.

    -
    -
    -

    The initial model of the serverless-workflow-callback-quarkus example application is empty. Once the workflow is started, it publishes a CloudEvent of the resume type and waits for a CloudEvent, which contains the type wait.

    -
    -
    -

    A listener consumes the CloudEvent with the resume type and simulates the behavior of an external service. Consequently, on the external service side, when the actions associated with the resume type CloudEvent are completed, the listener publishes a wait type CloudEvent. Once the wait type CloudEvent is received, the workflow moves to the next state and ends successfully.

    -
    -
    -

    To use the Callback state in a workflow, first CloudEvent types such as resume and wait are declared that the workflow uses. Following is an example of CloudEvents declaration in a workflow definition:

    -
    -
    -
    Example of CloudEvents declaration in a workflow definition
    -
    -
    "events": [
    -    {
    -      "name": "resumeEvent",
    -      "source": "",
    -      "type": "resume"
    -    },
    -    {
    -      "name": "waitEvent",
    -      "source": "",
    -      "type": "wait"
    -    }
    -  ]
    -
    -
    -
    -

    After that, a Callback state is declared. The Callback state publishes a resume type CloudEvent and waits for a CloudEvent with wait type. The published CloudEvent contains a move data field, and the CloudEvent that is received is expected to contain a result data field. According to the eventDataFilter, the result data field is added to the workflow model as a move field.

    -
    -
    -

    Following is an example of declaring a Callback state that handles the wait type CloudEvent:

    -
    -
    -
    Example of a Callback State declaration handling the wait CloudEvent
    -
    -
    {
    -      "name": "waitForEvent",
    -      "type": "callback",
    -      "action": {
    -        "name": "publishAction",
    -        "eventRef": {
    -          "triggerEventRef": "resumeEvent",
    -          "data": "{move: \"This is the initial data in the model\"}"
    -        }
    -      },
    -      "eventRef": "waitEvent",
    -      "eventDataFilter": {
    -        "data": ".result",
    -        "toStateData": ".move"
    -      },
    -      "transition": "finish"
    -    }
    -
    -
    -
    -

    An event listener consumes the resume type CloudEvent and publishes a new wait type CloudEvent. Following is an example of a Java method that publishes the wait type CloudEvent:

    -
    -
    -
    Example of a Java method that publishes the wait CloudEvent
    -
    -
        private String generateCloudEvent(String id, String input) {
    -        Map<String, Object> eventBody = new HashMap<>();
    -        eventBody.put("result", input + " and has been modified by the event publisher");
    -        eventBody.put("dummyEventVariable", "This will be discarded by the process");
    -        try {
    -            return objectMapper.writeValueAsString(CloudEventBuilder.v1()
    -                    .withId(UUID.randomUUID().toString())
    -                    .withSource(URI.create(""))
    -                    .withType("wait")
    -                    .withTime(OffsetDateTime.now())
    -                    .withExtension(CloudEventExtensionConstants.PROCESS_REFERENCE_ID, id)
    -                    .withData(objectMapper.writeValueAsBytes(eventBody))
    -                    .build());
    -        } catch (JsonProcessingException e) {
    -            throw new IllegalArgumentException(e);
    -        }
    -
    -    }
    -
    -
    -
    -

    After that, the workflow application consumes the event published by the listener and sets the result field. The consumed CloudEvent contains an attribute named kogitoprocrefid, which holds the workflow instance ID of the workflow.

    -
    -
    -

    The kogitoprocrefid attribute is crucial because when the correlation is not used, then this attribute is the only way for the Callback state to identify that the related CloudEvent needs to be used to resume the workflow. For more information about correlation, see Event correlation in OpenShift Serverless Logic.

    -
    -
    -

    Note that each workflow is identified by a unique instance ID, which is automatically included in any published CloudEvent, as kogitoprocinstanceid CloudEvent extension.

    -
    -
    -

    The following example shows that the event listener takes the workflow instance ID of a workflow from a CloudEvent attribute named kogitoprocinstanceid, which is associated with the CloudEvent that is consumed.

    -
    -
    -
    Example of a Java method that consumes the resume CloudEvent
    -
    -
        @Incoming("in-resume")
    -    @Outgoing("out-wait")
    -    @Acknowledgment(Strategy.POST_PROCESSING)
    -    public String onEvent(Message<String> message) {
    -        Optional<CloudEvent> ce = CloudEventUtils.decode(message.getPayload());
    -        JsonCloudEventData cloudEventData = (JsonCloudEventData) ce.get().getData();
    -        return generateCloudEvent(ce.get().getExtension(CloudEventExtensionConstants.PROCESS_INSTANCE_ID).toString(), cloudEventData.getNode().get("move").asText());
    -    }
    -
    -
    -
    -
    -
    Apache Kafka configuration in serverless-workflow-callback-quarkus
    -
    -
    -
    -
    -

    The serverless-workflow-callback-quarkus example application requires an external broker to manage the associated CloudEvents. The default setup in the serverless-workflow-callback-quarkus example application uses Apache Kafka. However, you can also use Knative Eventing.

    -
    -
    -

    Apache Kafka uses topics to publish or consume messages. In the serverless-workflow-callback-quarkus example application, two topics are used, matching the name of the CloudEvent types that are defined in the workflow, such as resume and wait. The resume and wait CloudEvent types are configured in the application.properties file.

    -
    -
    -

    For more information about using Apache Kafka with events, see Consuming and producing events using Apache Kafka.

    -
    -
    -
    -
    -
    -
    -
    -
    -

    Additional resources

    @@ -710,7 +675,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/core/working-with-parallelism.html b/docs/latest/serverless-logic/core/working-with-parallelism.html index 943fd776..3e2476bc 100644 --- a/docs/latest/serverless-logic/core/working-with-parallelism.html +++ b/docs/latest/serverless-logic/core/working-with-parallelism.html @@ -121,19 +121,34 @@

    Documentation

    + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -537,7 +630,7 @@

    Parallelism in OpenShift Serverless Logic

    This document describes how you can run parallel tasks in OpenShift Serverless Logic.

    -

    The testing procedure described in this document is based on the serverless-workflow-service-calls-quarkus example application in GitHub repository.

    +

    The testing procedure described in this document is based on the serverless-workflow-service-calls-quarkus example application in GitHub repository.

    @@ -583,7 +676,7 @@

    -

    For more information about creating a workflow project, see Creating your first Serverless Workflow service.

    +

    For more information about creating a workflow project, see Creating your first workflow project.

    @@ -944,7 +1037,7 @@

    < @@ -954,7 +1047,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/supporting-services/data-index/data-index-core-concepts.html b/docs/latest/serverless-logic/data-index/data-index-core-concepts.html similarity index 69% rename from docs/latest/serverless-logic/supporting-services/data-index/data-index-core-concepts.html rename to docs/latest/serverless-logic/data-index/data-index-core-concepts.html index f3e374bf..d3060c98 100644 --- a/docs/latest/serverless-logic/supporting-services/data-index/data-index-core-concepts.html +++ b/docs/latest/serverless-logic/data-index/data-index-core-concepts.html @@ -4,16 +4,16 @@ Data Index Core Concepts :: Red Hat OpenShift Serverless previews - + - - - - - - + + + + + +

    +
    Creates the endpoints that allow management operations on process instances.Creates the endpoints that allow management operations on workflow instances.
    @@ -619,7 +712,7 @@

      data-index:
         container_name: data-index
    -    image: quay.io/kiegroup/kogito-data-index-postgresql:latest (1)
    +    image: quay.io/kiegroup/kogito-data-index-postgresql-nightly:main-2024-02-09 (1)
         ports:
           - "8180:8080"
         depends_on:
    @@ -641,7 +734,7 @@ 

    1 -Reference the right Data Index image to match with the type of Database, in this case quay.io/kiegroup/kogito-data-index-postgresql:latest +Reference the right Data Index image to match with the type of Database, in this case quay.io/kiegroup/kogito-data-index-postgresql-nightly:main-2024-02-09 2 @@ -671,10 +764,10 @@

    -

    It is important to configure the workflows application to send the events to the topic kogito-processinstances-events using the connector smallrye-kafka. More information about how to configure workflows Kafka eventing is available in Consuming and producing events using Apache Kafka in Quarkus guide.

    +

    It is important to configure the workflows application to send the events to the topic kogito-processinstances-events using the connector smallrye-kafka. More information about how to configure workflows Kafka eventing is available in Consuming and producing events using Apache Kafka in Quarkus guide.

    -

    To explore the specific configuration to add to the workflow to connect with Data Index using Kafka eventing see Data Index Kafka eventing

    +

    To explore the specific configuration to add to the workflow to connect with Data Index using Kafka eventing see Data Index Kafka eventing

    Example of configuration in OpenShift Serverless Logic application passed in application.properties to configure connection with Data Index using Kafka connector:
    @@ -752,7 +845,7 @@

    (1) + image: quay.io/kiegroup/kogito-data-index-postgresql-nightly:main-2024-02-09 (1) imagePullPolicy: Always ports: - containerPort: 8080 @@ -823,7 +916,7 @@

    1 -Reference the right Data Index image to match with the type of Database, in this case quay.io/kiegroup/kogito-data-index-postgresql:latest +Reference the right Data Index image to match with the type of Database, in this case quay.io/kiegroup/kogito-data-index-postgresql-nightly:main-2024-02-09 2 @@ -853,10 +946,10 @@

    -

    To explore the specific configuration to add to the workflow to connect with Data Index using Knative eventing see Data Index Knative eventing

    +

    To explore the specific configuration to add to the workflow to connect with Data Index using Knative eventing see Data Index Knative eventing

    Example of configuration in OpenShift Serverless Logic application application.properties file to send events to Data Index using Knative eventing
    @@ -881,7 +974,7 @@


    @@ -889,222 +982,35 @@

    -

    Data Index as a Quarkus Development service

    +

    Additional resources

    -
    -

    When you use the OpenShift Serverless Logic Process Quarkus extension, a temporary Data Index service is automatically provisioned while the Quarkus application is running in development mode. When you use one of the following Quarkus extensions, the Dev Service is set up for immediate use:

    -
    -
    -
    OpenShift Serverless Logic main Quarkus extension
    -
    -
    <dependency>
    -  <groupId>org.kie.kogito</groupId>
    -  <artifactId>kogito-quarkus</artifactId>
    -</dependency>
    -
    -
    -
    -
    OpenShift Serverless Logic Quarkus extension
    -
    -
    <dependency>
    -  <groupId>org.kie.kogito</groupId>
    -  <artifactId>kogito-quarkus-serverless-workflow</artifactId>
    -</dependency>
    -
    -
    -
    -

    When you start your Quarkus project in development mode, an in-memory instance of the Data Index service is automatically started in the background. This feature is enabled by Quarkus Dev Services, and leverages Testcontainers to start an image of the Data Index service.

    -
    -
    -

    The OpenShift Serverless Logic Process Quarkus extension sets up your Quarkus application to automatically replicate any OpenShift Serverless Logic messaging events related to process instances or jobs into the provisioned Data Index instance.

    -
    -
    -

    Once the service is up and running, you can query the GraphQL interface directly using localhost:8180/graphql or using the Quarkus Dev UI console localhost:8080/q/dev.

    -
    -
    -

    The Data Index GraphQL endpoint can query for ProcessInstances and Jobs. For more information about operations and attributes to query, see GraphQL endpoint provided by Data Index section.

    -
    -
    -

    You can share the same Data Index instance across multiple OpenShift Serverless Logic services during development. Sharing Data Index instances is enabled by default, therefore, only one Data Index instance is started. This behavior can be adjusted to start multiple instances using the quarkus.kogito.devservices.shared property.

    -
    -
    -

    The Quarkus Dev Service also allows further configuration options including:

    -
    -
    -
    -

    For more information about Quarkus Dev Services, see Dev Services guide.

    -
    -
    -
    -
    -

    Data Index service configuration properties

    -
    -
    -

    The following table serves as a quick reference for commonly Data Index configuration properties supported.

    -
    - - ------- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    Table 1. Common configuration properties
    PropertyDescriptionTypeDefault valueOverride at runtime

    QUARKUS_DATASOURCE_JDBC_URL

    The datasource URL

    string

    Yes

    QUARKUS_DATASOURCE_USERNAME

    The datasource username

    string

    Yes

    QUARKUS_DATASOURCE_PASSWORD

    The datasource password

    string

    Yes

    QUARKUS_DATASOURCE_DB_KIND

    -

    The kind of database to connect: postgresql,..

    -

    string

    Yes

    QUARKUS_FLYWAY_MIGRATE_AT_START

    true to execute Flyway automatically when the application starts, false otherwise.

    boolean

    false

    Yes

    KOGITO_DATA_INDEX_QUARKUS_PROFILE

    -

    (Only when referencing an image distribution)

    -
    -
    -

    Allows to change the event connection type. The possible values are:

    -
    -
    - -

    string

    kafka-events-support

    Yes

    kogito.persistence.query.timeout.millis

    Defines timeout for a query execution.

    long

    10000

    Yes

    quarkus.kogito.devservices.enabled

    Enables or disables the Dev Services for workflows. By default, the Dev Services are enabled, unless an existing configuration is present.

    boolean

    true

    No

    quarkus.kogito.devservices.port

    Defines the optional fixed port that the Dev Services listen to.

    int

    8180

    No

    quarkus.kogito.devservices.image-name

    Defines the Data Index image to use in Dev Service.

    string

    quay.io/kiegroup/kogito-data-index-ephemeral:main

    No

    quarkus.kogito.devservices.shared

    Indicates if the Data Index instance, which is managed by Quarkus Dev Services, is shared.

    boolean

    true

    No

    quarkus.kogito.devservices.service-name

    Defines the value of the label that is attached to the started container. This property is used when shared is set to true.

    string

    kogito-data-index

    No

    +
    -

    Additional resources

    +

    Found an issue?

    -
    -

    Unresolved include directive in modules/serverless-logic/pages/supporting-services/data-index/data-index-service.adoc - include::../_common-content/report-issue.adoc[]

    +

    If you find an issue or any misleading information, please feel free to report it here. +We really appreciate it!

    @@ -1115,9 +1021,9 @@

    <

    - - - + + + diff --git a/docs/latest/serverless-logic/eventing/event-correlation-with-workflows.html b/docs/latest/serverless-logic/eventing/event-correlation-with-workflows.html index d1d10f15..826a8580 100644 --- a/docs/latest/serverless-logic/eventing/event-correlation-with-workflows.html +++ b/docs/latest/serverless-logic/eventing/event-correlation-with-workflows.html @@ -121,19 +121,34 @@

    Documentation

    + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -585,7 +678,7 @@

    Event correlation in OpenShift Serverless Logic

    Example of event correlation in a workflow

    -

    You can see the correlation configuration in the serverless-workflow-correlation-quarkus example application, describing the setup and usage of event correlation in a workflow.

    +

    You can see the correlation configuration in the serverless-workflow-correlation-quarkus example application, describing the setup and usage of event correlation in a workflow.

    -

    The workflow definition file contains the correlation information, in which the events section is defined as follows:

    +

    The workflow definition file contains the correlation information, in which the events section is defined as follows:

    Example event correlation in a workflow
    @@ -698,7 +791,7 @@

    -

    Using the workflow definition in serverless-workflow-correlation-quarkus example application, you can define other events that are published and consumed by the workflow.

    +

    Using the workflow definition in serverless-workflow-correlation-quarkus example application, you can define other events that are published and consumed by the workflow.

    The serverless-workflow-correlation-quarkus example application uses callback states, such as Validate User Email. This means that once the workflow execution reaches the callback state, the workflow publishes an event of validateAccountEmailEvent type and waits to receive an event of validatedAccountEmailEvent type. For more information about the callback state, see Callback state in OpenShift Serverless Logic.

    @@ -774,7 +867,7 @@

    -

    The engine stores the correlation information in the same persistence mechanism that is configured in the workflow application. If a persistence add-on is not configured, then the correlation information is stored in memory. This means that entire correlation information is lost when the workflow application restarts, therefore this process must be used for testing purposes. For more information about the persistence configuration, see Running a workflow service using PostgreSQL.

    +

    The engine stores the correlation information in the same persistence mechanism that is configured in the workflow application. If a persistence add-on is not configured, then the correlation information is stored in memory. This means that entire correlation information is lost when the workflow application restarts, therefore this process must be used for testing purposes. For more information about the persistence configuration, see Running a workflow service using PostgreSQL.

    @@ -811,7 +904,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/eventing/orchestration-of-asyncapi-based-services.html b/docs/latest/serverless-logic/eventing/orchestration-of-asyncapi-based-services.html index 68d1df01..d5f9956a 100644 --- a/docs/latest/serverless-logic/eventing/orchestration-of-asyncapi-based-services.html +++ b/docs/latest/serverless-logic/eventing/orchestration-of-asyncapi-based-services.html @@ -121,19 +121,34 @@

    Documentation

    + @@ -240,24 +252,12 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -520,6 +613,9 @@

    Documentation

    @@ -533,7 +629,7 @@

    Orchestrating AsyncAPI Services

    This document describes how to trigger and publish events using an AsyncAPI specification file. Underneath, OpenShift Serverless Logic uses the AsyncAPI Quarkiverse extension. -This extension automatically generates all the required Smallrye properties to make OpenShift Serverless Logic work with the servers declared in the AsyncAPI file. Therefore, you do not need to add any property specific to your event broker to make AsyncAPI work. This is a huge advantage over regular event states, where whether using Kafka or Knative, you have to provide additional configuration

    +This extension automatically generates all the required Smallrye properties to make OpenShift Serverless Logic work with the servers declared in the AsyncAPI file. Therefore, you do not need to add any property specific to your event broker to make AsyncAPI work. This is a huge advantage over regular event states, where whether using Kafka or Knative, you have to provide additional configuration

    @@ -730,7 +826,7 @@

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/getting-started/create-your-first-workflow-service-with-kn-cli-and-vscode.html b/docs/latest/serverless-logic/getting-started/create-your-first-workflow-service-with-kn-cli-and-vscode.html index fecab7d7..b92662c7 100644 --- a/docs/latest/serverless-logic/getting-started/create-your-first-workflow-service-with-kn-cli-and-vscode.html +++ b/docs/latest/serverless-logic/getting-started/create-your-first-workflow-service-with-kn-cli-and-vscode.html @@ -119,10 +119,28 @@

    Documentation

    + @@ -239,23 +251,11 @@

    Documentation

    Event Orchestration - - - @@ -323,19 +308,7 @@

    Documentation

    Persistence @@ -363,31 +336,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -398,80 +368,203 @@

    Documentation

    Integrations + + @@ -538,45 +631,10 @@

    Creating and running workflow projects using KN CLI and Visual Studio CodePrerequisites - -
    -
    Preparing your environment
    -
      -
    • -

      Install Docker or Podman.

      -
    • -
    • -

      Install minikube.

      -
    • -
    • -

      Install kubectl.

      -
    • -
    • -

      Start minikube. Depending on your environment, set --driver flag to podman or docker

      -
    • -
    -
    -
    -
    -
    minikube start --cpus 4 --memory 8096 --addons registry --addons metrics-server --insecure-registry "10.0.0.0/24" --insecure-registry "localhost:5000"  --driver=docker
    -
    -
    -
    -
      -
    • -

      (optional) Install k9scli.io

      -
    • -
    • -

      Install the Serverless Logic Operator

      -
    • -
    • -

      Install KN Workflow CLI by downloading the correct distribution for your development environment and adding it to the PATH.

      +

      Install k9scli.io for easier inspection of your application resources in cluster. This is optional, you can use any tool you are fimiliar with in this regard.

    @@ -684,28 +742,38 @@

    • -

      Deploy to minikube

      +

      Deploy to cluster

    -
    kn workflow deploy
    +
    kn workflow deploy --namespace my-sf-application
    + +
    +
    +
    +
    # Execute
    +kubectl get services -n my-sf-application
    +
    +# You should see output like this, note the ports
    +NAME         TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)            AGE
    +hello        ClusterIP   10.96.0.1    <none>        <RANDOM_PORT>/80   39s
    +
    +# Execute
    +kubectl port-forward service/hello <RANDOM_PORT>:80 -n my-sf-application
    +
    +
    +
    + + +
  • To update the image run the deploy again, note that this may take some time.

  • @@ -730,7 +819,7 @@

    -
    kn worklow undeploy
    +
    kn worklow undeploy --namespace my-sf-application
    @@ -810,7 +902,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/getting-started/getting-familiar-with-our-tooling.html b/docs/latest/serverless-logic/getting-started/getting-familiar-with-our-tooling.html index f6184b5f..9ac86887 100644 --- a/docs/latest/serverless-logic/getting-started/getting-familiar-with-our-tooling.html +++ b/docs/latest/serverless-logic/getting-started/getting-familiar-with-our-tooling.html @@ -119,19 +119,34 @@

    Documentation

    + @@ -239,23 +251,11 @@

    Documentation

    Event Orchestration - - - @@ -323,19 +308,7 @@

    Documentation

    Persistence @@ -363,31 +336,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -398,80 +368,203 @@

    Documentation

    Integrations + + @@ -565,7 +658,7 @@

    Getting familiar with OpenShift Serverless Logic tooling

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/integrations/custom-functions-knative.html b/docs/latest/serverless-logic/getting-started/learning-environment.html similarity index 57% rename from docs/latest/serverless-logic/integrations/custom-functions-knative.html rename to docs/latest/serverless-logic/getting-started/learning-environment.html index 49009fd9..23cbf93c 100644 --- a/docs/latest/serverless-logic/integrations/custom-functions-knative.html +++ b/docs/latest/serverless-logic/getting-started/learning-environment.html @@ -3,10 +3,8 @@ - Invoking Knative services from OpenShift Serverless Logic :: Red Hat OpenShift Serverless previews - - - + Learning environment :: Red Hat OpenShift Serverless previews + @@ -121,22 +119,37 @@

    Documentation

    + @@ -241,23 +251,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +308,7 @@

    Documentation

    Persistence @@ -365,31 +336,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +368,203 @@

    Documentation

    Integrations + + @@ -522,231 +613,63 @@

    Documentation

  • Documentation
  • Serverless Logic
  • User Guides
  • -
  • Integrations
  • -
  • Invoking Knative services
  • +
  • Setup
  • +
  • Learning environment
  • -

    Invoking Knative services from OpenShift Serverless Logic

    +

    Learning environment

    -
    -

    This document describes how to call Knative services using OpenShift Serverless Logic custom functions. The procedure described in this document is based on the serverless-workflow-custom-function-knative example application.

    -
    -
    -

    For more details about the Knative custom function, see Custom functions for your OpenShift Serverless Logic service.

    -
    Prerequisites
    -
    -
    Procedure
    -
      -
    1. -

      Add the knative-serving add-on dependency to your workflow project.

      -
      -
      -
      -
      -
      <dependency>
      -    <groupId>org.kie.kogito</groupId>
      -    <artifactId>kogito-addons-quarkus-knative-serving</artifactId>
      -</dependency>
      -
      -
      -
      -
      -
    2. -
    3. -

      Enable the Service Discovery feature.

      -
    4. -
    5. -

      Discover the name of the Knative service that your workflow will invoke. In a terminal window, run the following command:

      -
      -
      -
      -
      -
      kn service list
      -
      -
      -
      -

      You should see an output like:

      -
      -
      -
      -
      NAME                              URL                                                                      LATEST                                  AGE     CONDITIONS   READY   REASON
      -custom-function-knative-service   http://custom-function-knative-service.default.10.109.169.193.sslip.io   custom-function-knative-service-00001   3h16m   3 OK / 3     True
      -
      -
      -

      Save the Knative service name (custom-function-knative-service) to use it in the next step.

      -
      -
      -
      -
    6. -
    7. -

      Declare the Knative OpenShift Serverless Logic custom function. In the functions section of your workflow, add the following:

      -
      -
      -
      -
      -
      {
      -  "name": "greet", (1)
      -  "type": "custom", (2)
      -  "operation": "knative:services.v1.serving.knative.dev/custom-function-knative-service?path=/function", (3)
      -}
      -
      +

      If you are new to OpenShift Serverless Logic we recommend a few starting points to get up to speed with the technology and what it has to offer.

      -
      -
    - - - - - - - - - - - - -
    1The name of the OpenShift Serverless Logic function
    2Indicates that this function is a custom one
    3The coordinates of the service you want to invoke
    -
    -
    -
    - +
    +
    • -

      Invoke the declared function. In an operation state, add an action that references the function you declared in the previous step like the following:

      -
      -
      -
      -
      -
      "actions": [
      -  {
      -    "functionRef": {
      -      "refName": "greet", (1)
      -      "arguments": { (2)
      -        "name": ".name"
      -      }
      -    }
      -  }
      -]
      -
      -
      -
      - - - - - - - - - -
      1Function’s name
      2The payload that should be sent in the request
      -
      -
      -
      +

      Read the serverless workflow specification and what is supported.

    • -

      Deploy your workflow service to Knative. For more information on how to deploy a OpenShift Serverless Logic OpenShift Serverless Logic project to Knative, see the Deploying on Kubernetes.

      +

      Try our Serverless Logic Web Tools samples.

    • -
    • -

      Submit a request to the workflow service

      -
      -
      -
      -
      -
      curl -X 'POST' \
      -  '<URL>/plainJsonKnativeFunction' \ (1)
      -  -H 'accept: */*' \
      -  -H 'Content-Type: application/json' \
      -  -d '{ "name": "Kogito" }'
      -
      -
      -
      - - - - - -
      1Replace <URL> with the URL of your deployed workflow service
      +
    -

    You should see an output like (id will change):

    -
    -
    -
    -
    {"id":"87cf8275-782d-4e0b-a9be-a95f95c9c190","workflowdata":{"name":"Kogito","greeting":"Greetings from Serverless Workflow, Kogito"}}
    -
    -
    -
    -

    - - +

    Once familiar with the specification and samples, navigate to Environment setup guide to complete the necesarry setup of your environment. After that, you should be ready to create your first OpenShift Serverless Logic application.

    -

    Sending as CloudEvent

    -
    -
    -

    Knative functions support CloudEvent as the message protocol. OpenShift Serverless Logic can create and post CloudEvent messages in functionRef. For more information see core/custom-functions-support.adoc#sending-cloudevents

    -
    -
    -
    -

    Additional resources

    @@ -756,7 +679,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/getting-started/preparing-environment.html b/docs/latest/serverless-logic/getting-started/preparing-environment.html new file mode 100644 index 00000000..3491a82d --- /dev/null +++ b/docs/latest/serverless-logic/getting-started/preparing-environment.html @@ -0,0 +1,813 @@ + + + + + + Environment setup :: Red Hat OpenShift Serverless previews + + + + + + + + + + + +
    + +
    + +
    +
    +
    +

    Environment setup

    +
    +
    +
    +

    This guide lists the different ways to set up your environment for OpenShift Serverless Logic development. +If you are new, start with the minimal one.

    +
    +
    + +
    +
    +

    Minimal local environment setup

    +
    +
    +

    Recommended steps to setup your local development environment. By completing these steps you are able to +start the development on your local machine using our guides.

    +
    +
    +
    Procedure
    +
      +
    1. +

      Install Docker or Podman.

      +
    2. +
    3. +

      Install minikube or kind.

      +
    4. +
    5. +

      Install Kubernetes CLI.

      +
    6. +
    7. +

      Install Knative using quickstart. This will also setup Knative Serving and Eventing for you and the cluster should be running.

      +
    8. +
    9. +

      Install the Serverless Logic Operator

      +
    10. +
    11. +

      Install Knative Workflow CLI.

      +
    12. +
    13. +

      Install Visual Studio Code with our extension that simplifies development of workflows by provifing visual aids and auto-complete features.

      +
    14. +
    +
    +
    +
    +
    +

    Starting the cluster for local development

    +
    +
    +

    If you have used Knative using quickstart guide, your selected cluster should be running and properly configured to work with our guides.

    +
    +
    +

    Please note, that if the knative quickstart procedure is not used, you need to install Knative Serving and Eventing manually. See Additional options for environment setup.

    +
    +
    +
    +
      +
    • +

      Minikube

      +
    • +
    • +

      Kind

      +
    • +
    +
    +
    +
    +
    +
    Configure and startup minikube
    +
    +
    # Set a driver and container runtime
    +minikube config set driver docker/podman
    +minikube config set container-runtime docker/podman
    +
    +# Set cpu and memory
    +# 4096 is minimal baseline, increase to 6144 or 8192 if possible
    +minikube config set cpus 4
    +minikube config set memory 4096
    +
    +# Start the cluster
    +minikube start --cpus 4 --memory 4096 --addons registry --addons metrics-server --insecure-registry "10.0.0.0/24" --insecure-registry "localhost:5000"
    +
    +# Set the active profile
    +minikube profile minikube
    +
    +
    +
    +
    +
    +
    Start a kind cluster
    +
    +
    kind create cluster
    +
    +
    +
    +
    +
    +
    +
    +
    +

    Advanced local environment setup

    +
    +
    +

    If you are interested in our Java and Quarkus development path, consider completing this procedure in addition to the +Minimal local environment setup. By completing these steps you are able to start the development of applications on your local machine using our advanced developer guides.

    +
    +
    +
    Procedure
    +
      +
    1. +

      Install OpenJDK 17+ and cofigure JAVA_HOME appropriately by adding it to the PATH.

      +
    2. +
    3. +

      Install Apache Maven 3.9.6.

      +
    4. +
    5. +

      Install Quarkus CLI corresponding to currently supported version by OpenShift Serverless Logic. Currently it is 3.2.9.Final-redhat-00003.

      +
    6. +
    +
    +
    +
    +
    +

    Additional options for environment setup

    +
    +
    +

    Points listed in this section provide extra posibilties when working with our guides and are considered optional.

    +
    +
    +
      +
    • +

      Install GraalVM 22.3.0. This will allow you to create native image of your OpenShift Serverless Logic application.

      +
    • +
    • +

      Install Knative Serving for advanced customizations or in cases where you are working with Openshift.

      +
    • +
    • +

      Install Knative Eventing for advanced customizations or in cases where you are working with Openshift.

      +
    • +
    +
    +
    +
    + +
    +

    Found an issue?

    +
    +
    +

    If you find an issue or any misleading information, please feel free to report it here. +We really appreciate it!

    +
    +
    +
    +
    +
    +
    +
    +
    +

    Adapted from Antora default UI, (c) 2019

    +
    + + + + + + diff --git a/docs/latest/serverless-logic/getting-started/production-environment.html b/docs/latest/serverless-logic/getting-started/production-environment.html new file mode 100644 index 00000000..13ed14a7 --- /dev/null +++ b/docs/latest/serverless-logic/getting-started/production-environment.html @@ -0,0 +1,702 @@ + + + + + + Production environment :: Red Hat OpenShift Serverless previews + + + + + + + + + + + +
    + +
    + +
    +
    +
    +

    Production environment

    +
    +
    +
    + + + + + +
    + + +
    +

    OpenShift Serverless Logic is a Technology Preview feature only. Technology Preview features +are not supported with Red Hat production service level agreements (SLAs) and +might not be functionally complete. Red Hat does not recommend using them +in production. These features provide early access to upcoming product +features, enabling customers to test functionality and provide feedback during +the development process.

    +
    +
    +

    For more information about the support scope of Red Hat Technology Preview +features, see access.redhat.com/support/offerings/techpreview/.

    +
    +
    +
    +
    +

    In thise guide, you can find OpenShift Serverless Logic recommendations and best-practices for production environment.

    +
    +
    +

    As a cluster environment, We recommend using Red Hat Openshift Container Platform. +Make sure you are using Knative Serving and Knative Eventing featured in Red Hat Openshift Serverless when using OpenShift Serverless Logic in production.

    +
    +
    +

    Are you using OpenShift Serverless Logic in production? Let us know how so that we can expand our test suites!

    +
    +
    + +
    +
    +

    Additional resources

    + +
    +
    +

    Found an issue?

    +
    +
    +

    If you find an issue or any misleading information, please feel free to report it here. +We really appreciate it!

    +
    +
    +
    +
    +
    +
    +
    +
    +

    Adapted from Antora default UI, (c) 2019

    +
    + + + + + + diff --git a/docs/latest/serverless-logic/index.html b/docs/latest/serverless-logic/index.html new file mode 100644 index 00000000..bc8fbdec --- /dev/null +++ b/docs/latest/serverless-logic/index.html @@ -0,0 +1,1097 @@ + + + + + + Documentation :: Red Hat OpenShift Serverless previews + + + + + + + + + + + +
    + +
    + +
    +
    +
    +

    Documentation

    +
    +
    +
    +

    OpenShift Serverless Logic is a tool for building cloud-native workflow applications. You can use it to do the services and events orchestration and choreography. Currently, with OpenShift Serverless Logic you can integrate with services and events in your architecture using:

    +
    +
    +
      +
    1. +

      CloudEvents. Ideal for an Event-Driven architecture where the services are ready to consume and produce events working in a more reactive way.

      +
    2. +
    3. +

      Sync or Async REST services invocations via OpenAPI/Async API. There are options even to directly call a REST service in the architecture or ecosystem. Either async or sync methods are supported depending on your requirements.

      +
    4. +
    5. +

      Internal Service execution or invocation. OpenShift Serverless Logic is also a workflow framework to build applications. You can use it to create custom services in the same thread to run a lightweight workflow-based application within the same instance.

      +
    6. +
    +
    +
    +

    You can learn how to create, manage, and deploy your workflow applications with the following guides.

    +
    +
    + +
    +
    +

    Setup

    +
    +
    +
    + +
    +

    Learn about the recommended environment to start your journey with OpenShift Serverless Logic applications

    +
    +
    +
    +
    +
    + +
    +

    An all-in-one guide to prepare you environment for you to be uncover the full potential of OpenShift Serverless Logic guides on your local environment.

    +
    +
    +
    +
    +
    + +
    +

    Learn about the best practices and recommendations for production environments.

    +
    +
    +
    +
    +
    +
    +

    Getting started

    +
    +
    +
    + +
    +

    Learn about the tools we provide you with, on your journey to create OpenShift Serverless Logic applications

    +
    +
    +
    +
    +
    + +
    +

    An all-in-one starting guide. Learn how to create, run & deploy your first OpenShift Serverless Logic project on your local environment.

    +
    +
    +
    +
    +
    +
    +

    Core Concepts

    +
    +
    +
    + +
    +

    Learn about the CNCF Serverless Workflow Specification implementation

    +
    +
    +
    +
    +
    + +
    +

    Learn how to use the Event state in your workflow application

    +
    +
    +
    +
    +
    + +
    +

    Learn how to use the Callback state in your workflow application

    +
    +
    +
    +
    +
    + +
    +

    Learn how to create jq expressions to manipulate data within a workflow execution

    +
    +
    +
    +
    +
    + +
    +

    Learn how to handle errors in your workflow application

    +
    +
    +
    +
    +
    + +
    +

    Quick reference of configuration properties in workflow

    +
    +
    +
    +
    +
    + +
    +

    Learn about the input schema definition used to validate the workflow data input against a defined JSON Schema

    +
    +
    +
    +
    +
    + +
    +

    Learn about the custom functions supported by Serverless Workflow

    +
    +
    +
    +
    +
    + +
    +

    Learn how to configure timeouts in the workflow

    +
    +
    +
    +
    +
    + +
    +

    Working with parallelism in your workflow project

    +
    +
    +
    +
    +
    +
    +

    Tooling

    +
    +
    +
    + +
    +

    Learn how to install and use the Serverless Workflow editor

    +
    +
    +
    +
    +
    + +
    +

    Learn how to install and use the VS Code extension for Serverless Workflow editor for creating workflows.

    +
    +
    +
    +
    +
    + +
    +

    Learn how to use Serverless Logic Web Tools for creating and managing workflows, decisions, and dashboards.

    +
    +
    +
    +
    +
    + +
    +

    Learn how to install and use the Chrome extension for Serverless Workflow editor to view and edit workflows directly in Github.

    +
    +
    +
    +
    +
    +
    +

    Service Orchestration

    +
    +
    +
    + +
    +

    Learn how to orchestrate REST services using OpenAPI specification descriptors

    +
    +
    +
    +
    +
    + +
    +

    Learn how to use the OpenAPI Callback in your workflow application

    +
    +
    +
    +
    +
    +
    +

    Event Orchestration

    +
    +
    +
    + +
    +

    Learn how to trigger and consume events using AsyncAPI specification descriptors

    +
    +
    +
    +
    +
    + +
    +

    Learn how to configure event correlation in your workflow application

    +
    +
    +
    +
    +
    +
    +

    Security

    +
    +
    +
    + +
    +

    Learn how to use authentication methods when calling REST services using OpenAPI specification

    +
    +
    +
    +
    +
    + +
    +

    Learn about the OAuth2 method support when orchestrating REST services using your workflow application

    +
    +
    +
    +
    +
    +
    +

    Executing, Testing and Troubleshooting

    +
    +
    +
    + +
    +

    Learn how to use the Serverless Workflow extension in Quarkus Dev UI

    +
    +
    +
    +
    +
    + +
    +

    Learn how to install the OpenShift Serverless Logic plug-in for Knative CLI

    +
    +
    +
    +
    +
    +
    +

    Persistence

    +
    +
    +
    + +
    +

    Learn about the core concepts of persistence inf OpenShift Serverless Logic

    +
    +
    +
    +
    +
    +
    +

    Cloud

    +
    +
    +
    + +
    +

    Learn about the options to deploy workflow applications in Kubernetes

    +
    +
    +
    +
    +
    +
    +

    Integrations

    +
    +
    +
    + +
    +

    Learn how to handle integrations of external services in OpenShift Serverless Logic application

    +
    +
    +
    +
    +
    +
    +

    Job Service

    +
    +
    +
    + +
    +

    Details about Job Service to control timers in OpenShift Serverless Logic

    +
    +
    +
    +
    +
    +
    +

    Data Index service

    +
    +
    +
    + +
    +

    Learn Data Index core concepts, allowing to understand the purpose and the different deployment options that are provided.

    +
    +
    +
    +
    +
    + +
    +

    Go deeper in details about Data Index as standalone service deployment.

    +
    +
    +
    +
    +
    +
    +

    Use Cases

    +
    +
    +

    Collection of guides showcasing core concepts of OpenShift Serverless Logic or providing a solution to specific problem in our domain.

    +
    +
    +

    In the Advanced Developer Use Cases section, you can find guides that use Java and Quarkus to create OpenShift Serverless Logic applications. These guides allow users to vastly customize their applications depending on their use case. Good undertsanding and knowledge of these technologies is expected.

    +
    +
    +
    +
    +

    Advanced Developer Use Cases

    +
    +
    +
    + +
    +

    Learn how to develop & customize OpenShift Serverless Logic applications with Quarkus

    +
    +
    +
    +
    +
    +
    +
    +
    +
    +
    +

    Adapted from Antora default UI, (c) 2019

    +
    + + + + + + diff --git a/docs/latest/serverless-logic/integrations/camel-k-integration.html b/docs/latest/serverless-logic/integrations/core-concepts.html similarity index 60% rename from docs/latest/serverless-logic/integrations/camel-k-integration.html rename to docs/latest/serverless-logic/integrations/core-concepts.html index c82badd2..a68a9c27 100644 --- a/docs/latest/serverless-logic/integrations/camel-k-integration.html +++ b/docs/latest/serverless-logic/integrations/core-concepts.html @@ -3,8 +3,8 @@ - Untitled :: Red Hat OpenShift Serverless previews - + Introduction :: Red Hat OpenShift Serverless previews + @@ -119,19 +119,34 @@

    Documentation

    + @@ -239,23 +251,11 @@

    Documentation

    Event Orchestration - - - @@ -323,19 +308,7 @@

    Documentation

    Persistence @@ -363,31 +336,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -397,81 +367,204 @@

    Documentation

    Integrations + + @@ -516,12 +609,54 @@

    Documentation

    diff --git a/docs/latest/serverless-logic/persistence/workflow-database-for-db-admins.html b/docs/latest/serverless-logic/migration-guide/index.html similarity index 62% rename from docs/latest/serverless-logic/persistence/workflow-database-for-db-admins.html rename to docs/latest/serverless-logic/migration-guide/index.html index a18144bd..ab4d6310 100644 --- a/docs/latest/serverless-logic/persistence/workflow-database-for-db-admins.html +++ b/docs/latest/serverless-logic/migration-guide/index.html @@ -3,8 +3,8 @@ - Untitled :: Red Hat OpenShift Serverless previews - + Migration guide for OpenShift Serverless Logic components :: Red Hat OpenShift Serverless previews + @@ -119,19 +119,34 @@

    Documentation

    + @@ -239,23 +251,11 @@

    Documentation

    Event Orchestration - - - @@ -323,19 +308,7 @@

    Documentation

    Persistence @@ -363,31 +336,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -398,80 +368,203 @@

    Documentation

    Integrations + + @@ -516,12 +609,21 @@

    Documentation

    - +

    Migration guide for OpenShift Serverless Logic components

    +
    +

    In this chapter you will find guide focusing on migration of our components across version. +We provide migration guides only when needed, so if there is no guide available it means the migration +is seamless.

    +
    diff --git a/docs/latest/serverless-logic/supporting-services/data-index/data-index-usecase-singleton.html b/docs/latest/serverless-logic/migration-guide/operator/to-1.43.0-migration-guide.html similarity index 53% rename from docs/latest/serverless-logic/supporting-services/data-index/data-index-usecase-singleton.html rename to docs/latest/serverless-logic/migration-guide/operator/to-1.43.0-migration-guide.html index 56c7d7b2..11a21407 100644 --- a/docs/latest/serverless-logic/supporting-services/data-index/data-index-usecase-singleton.html +++ b/docs/latest/serverless-logic/migration-guide/operator/to-1.43.0-migration-guide.html @@ -3,10 +3,8 @@ - Deploying Data Index and OpenShift Serverless Logic application on Minikube :: Red Hat OpenShift Serverless previews - - - + Migration Guide for Operator :: Red Hat OpenShift Serverless previews + @@ -121,19 +119,34 @@

    Documentation

    + @@ -241,23 +251,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +308,7 @@

    Documentation

    Persistence @@ -365,31 +336,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +368,203 @@

    Documentation

    Integrations + + @@ -520,324 +611,126 @@

    Documentation

    -

    Deploying Data Index and OpenShift Serverless Logic application on Minikube

    -
    +

    Migration Guide for Operator

    +
    +

    Version 1.43.0

    -

    This document describes how to deploy a workflow application and the Data Index service using a local Kubernetes cluster, such as Minikube, using the Serverless Logic Operator.

    -
    -
    -

    For more information about Minikube and related system requirements, see Getting started with Minikube documentation.

    -
    -
    -

    This use case is intended to represent an installation with:

    -
    -
    -
      -
    • -

      A singleton Data Index Service with PostgreSQL persistence

      -
    • -
    • -

      The greeting workflow (no persistence), that is configured to register events to the Data Index Service.

      -
    • -
    -
    -
    -

    You can directly access the UseCase1 example application we are going to follow at OpenShift Serverless Logic Data Index Use Cases with operator.

    -
    -
    -
    Prerequisites
    -
      -
    • -

      Minikube installed with registry addon enabled

      -
    • -
    • -

      kubectl command-line tool is installed. Otherwise, Minikube handles it.

      -
    • -
    • -

      OpenShift Serverless Logic operator installed if workflows are deployed. To install the operator you can see Install the Serverless Logic Operator.

      -
    • -
    -
    -
    - - - - - -
    - - -
    -

    We recommend that you start Minikube with the following parameters, note that the registry addon must be enabled.

    -
    -
    -
    -
    minikube start --cpus 4 --memory 10240 --addons registry --addons metrics-server --insecure-registry "10.0.0.0/24" --insecure-registry "localhost:5000"
    -
    -
    -
    -

    To verify that the registry addon was property added you can execute this command:

    -
    -
    -
    -
    minikube addons list | grep registry
    -
    -
    -
    -
    -
    | registry                    | minikube | enabled ✅   | Google                         |
    -| registry-aliases            | minikube | disabled     | 3rd party (unknown)            |
    -| registry-creds              | minikube | disabled     | 3rd party (UPMC Enterprises)   |
    -
    -
    -
    -
    -
    -

    You can check the Minikube installation by entering the following commands in a command terminal:

    -
    -
    -
    Verify Minikube version
    -
    -
    minikube version
    -
    -
    -
    -
    Verify kubectl CLI version
    -
    -
    kubectl version
    -
    -
    -
    - - - - - -
    - - -
    -

    If kubectl is not installed, then Minikube handles it when you execute the following command:

    -
    -
    -
    kubectl is available using Minikube
    -
    -
    alias kubectl="minikube kubectl --"
    -
    -
    -
    +

    When migrating to version 1.43.0, you must review the SonataFlowPlatform instances.

    Procedure
    1. -

      After cloning the OpenShift Serverless Logic examples repository. Open a terminal and run the following commands

      -
      -
      -
      -
      -
      cd serverless-operator-examples/serverless-workflow-dataindex-use-cases/
      -
      -
      -
      -
      -
    2. -
    3. -

      Create the namespace:

      -
      -
      +

      Change the .spec.platform to .spec.build.config. For example, given that you have:

      -
      kubectl create namespace usecase1
      -
      -
      +
      apiVersion: sonataflow.org/v1alpha08
      +kind: SonataFlowPlatform
      +metadata:
      +  name: sonataflow-platform
      +spec:
      +  platform:
      +    registry:
      +      address: quay.io/kiegroup
      +      secret: regcred
      -
    4. -
    5. -

      Deploy the Data Index Service and postgresql database:

      -
      -
      -
      -

      Unresolved include directive in modules/serverless-logic/pages/supporting-services/data-index/data-index-usecase-singleton.adoc - include::common/_dataindex_deployment_operator.adoc[]

      -
      -

      Perform the deployments executing

      +

      You should change it to:

      -
      kubectl kustomize infra/dataindex | kubectl apply -f - -n usecase1
      -
      -
      -
      -
      -
      configmap/dataindex-properties-hg9ff8bff5 created
      -secret/postgres-secrets-22tkgc2dt7 created
      -service/data-index-service-postgresql created
      -service/postgres created
      -persistentvolumeclaim/postgres-pvc created
      -deployment.apps/data-index-service-postgresql created
      -deployment.apps/postgres created
      -
      -
      -
      -

      Give some time for the data index to start, you can check that it’s running by executing.

      -
      -
      -
      -
      kubectl get pod -n usecase1
      -
      -
      -
      -
      -
      NAME                                             READY   STATUS    RESTARTS       AGE
      -data-index-service-postgresql-5d76dc4468-lb259   1/1     Running   0              2m11s
      -postgres-7f78499688-lc8n6                        1/1     Running   0              2m11s
      -
      -
      +
      apiVersion: sonataflow.org/v1alpha08
      +kind: SonataFlowPlatform
      +metadata:
      +  name: sonataflow-platform
      +spec:
      +  build:
      +    config:
      +      registry:
      +        address: quay.io/kiegroup
      +        secret: regcred
    6. -

      Deploy the workflow:

      -
      -
      -
      -

      Here you can find the use case kustomization required to deploy the workflow

      -
      -
      -
      Use case kustomization.yaml resources that deploys the workflow
      -
      -
      resources:
      -- ../../infra/service_discovery
      -- ../../workflows/sonataflow-greeting
      -
      -
      -
      -

      To see in more detail how to deploy the workflow access to Building and Deploying Workflows with the Operator

      -
      -
      -

      Perform the deployment executing

      -
      -
      -
      -
       kubectl kustomize usecases/usecase1 | kubectl apply -f - -n usecase1
      -
      -
      +

      Change the .spec.build to .spec.build.template. For example, given that you have:

      -
      configmap/greeting-props created
      -sonataflow.sonataflow.org/greeting created
      -
      +
      apiVersion: sonataflow.org/v1alpha08
      +kind: SonataFlowPlatform
      +metadata:
      +  name: sonataflow-platform
      +spec:
      +  build:
      +    resources:
      +      requests:
      +        memory: "64Mi"
      +        cpu: "250m"
      +      limits:
      +        memory: "128Mi"
      +        cpu: "500m"
      -
      -

      To see in more detail how to generate this resources access to Building and Deploying Workflows with the Operator

      -

      Give some time for the sonataflow operator to build and deploy the workflow. -To check that the workflow is ready you can use this command.

      -
      -
      -
      -
      kubectl get workflow -n usecase1
      -
      +

      You should change it to:

      -
      NAME       PROFILE   VERSION   URL   READY   REASON
      -greeting             0.0.1           True
      -
      -
      +
      apiVersion: sonataflow.org/v1alpha08
      +kind: SonataFlowPlatform
      +metadata:
      +  name: sonataflow-platform
      +spec:
      +  build:
      +    template:
      +      resources:
      +        requests:
      +          memory: "64Mi"
      +          cpu: "250m"
      +        limits:
      +          memory: "128Mi"
      +          cpu: "500m"
    7. -

      Expose the workflow and get the url:

      -
      -
      +

      Change the .spec.devModeBaseImage to spec.devMode.baseImage. For example, given that you have:

      -
      kubectl patch svc greeting -p '{"spec": {"type": "NodePort"}}' -n usecase1
      +
      apiVersion: sonataflow.org/v1alpha08
      +kind: SonataFlowPlatform
      +metadata:
      +  name: sonataflow-platform
      +spec:
      +  devModeBaseImage: quay.io/johndoe/myworkflow:latest
      -
      -
      -
      minikube service greeting --url -n usecase1
      -
      -
      -
      -
      -
    8. -
    9. -

      Create a workflow instance:

      -
      -
      -

      You must use the URLs calculated in step 5.

      -
      -
      -
      -
      curl -X POST -H 'Content-Type:application/json' -H 'Accept:application/json' -d '{"name": "John", "language": "English"}'    http://192.168.49.2:32407/greeting
      -
      -
      -
      +

      You should change it to:

      -
    10. -
    11. -

      Clean the use case:

      -
      -
      -
      kubectl delete namespace usecase1
      -
      -
      +
      apiVersion: sonataflow.org/v1alpha08
      +kind: SonataFlowPlatform
      +metadata:
      +  name: sonataflow-platform
      +spec:
      +  devMode:
      +    baseImage: quay.io/johndoe/myworkflow:latest
    -
    -

    Unresolved include directive in modules/serverless-logic/pages/supporting-services/data-index/data-index-usecase-singleton.adoc - include::common/_querying_dataindex.adoc[]

    -
    -
    - -
    -
    -

    Additional resources

    -
    - -
    -

    Unresolved include directive in modules/serverless-logic/pages/supporting-services/data-index/data-index-usecase-singleton.adoc - include::../../pages/_common-content/report-issue.adoc[]

    -
    diff --git a/docs/latest/serverless-logic/persistence/postgresql-flyway-migration.html b/docs/latest/serverless-logic/persistence/core-concepts.html similarity index 58% rename from docs/latest/serverless-logic/persistence/postgresql-flyway-migration.html rename to docs/latest/serverless-logic/persistence/core-concepts.html index dce3ee16..83721c41 100644 --- a/docs/latest/serverless-logic/persistence/postgresql-flyway-migration.html +++ b/docs/latest/serverless-logic/persistence/core-concepts.html @@ -3,8 +3,8 @@ - PostgreSQL Database Migration :: Red Hat OpenShift Serverless previews - + Persistence in OpenShift Serverless Logic :: Red Hat OpenShift Serverless previews + @@ -119,19 +119,34 @@

    Documentation

    + @@ -239,23 +251,11 @@

    Documentation

    Event Orchestration - - - @@ -322,20 +307,8 @@

    Documentation

    Persistence @@ -363,31 +336,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -398,80 +368,203 @@

    Documentation

    Integrations + + @@ -521,234 +614,53 @@

    Documentation

  • Serverless Logic
  • User Guides
  • Persistence
  • -
  • Quarkus
  • -
  • Migrate your PostgreSQL database
  • +
  • Core concepts
  • -

    PostgreSQL Database Migration

    +

    Persistence in OpenShift Serverless Logic

    -

    When working with OpenShift Serverless Logic PostgreSQL database, you can either opt to use Flyway or manually upgrade your database via DDL scripts.

    +

    Persistence in OpenShift Serverless Logic is available on demand as a service. +Using configuration properties, users are able to configure the persistence for their workflows as required.

    -

    When you upgrade your OpenShift Serverless Logic version, by default it won’t pick up the latest changes available.

    +

    The persistence is provided by our Data Index service. +To learn more about the service, examine the links in additional resources.

    -

    How to migrate

    +

    Additional resources

    -
    -

    Migrate using Flyway Config

    • -

      OpenShift Serverless Logic to provides a mechanism for migrating your database while updating the OpenShift Serverless Logic version using the following Flyway properties (default value is false, not upgrade):

      -
      -
      -
      -
      -
      quarkus.flyway.migrate-at-start=true
      -quarkus.datasource.db-kind=postgresql
      -
      -
      -
      -
      -
      -

      This will create a schema history table flyway_schema_history in your database to track the version of each database, recording in it every versioned migration file applied to build that version.

      -
      +

      Data Index Core Concepts

    • -
    -
    -
    - - - - - -
    - - -When using kogito-addons-persistence-jdbc, it is mandatory to set the quarkus.datasource.db-kind property, so that Flyway can locate the appropriate scripts for the database. -
    -
    -
    -
    -

    Migrate using Flyway CLI

    -
    -

    If you want to migrate manually you can use the Flyway migration CLI tool.

    -
    -
    -
    • -

      Download Flyway migration command-line tool from the Download Flyway Community Edition website.

      -
    • -
    • -

      Add the following properties in the /conf/flyway.conf file:

      -
      -
      -
      -
      -
      flyway.url=jdbc:postgresql://localhost:5432/foobardb
      -flyway.user=foo
      -flyway.password=bar
      -
      -
      -
      -
      -
    • -
    • -

      You can specify these options with commands as well. The Flyway CLI will prompt for the username and password if they are missing in the configuration.

      -
      -
      -
      -
      -
      $ flyway migrate -url=jdbc:postgresql://localhost:5432/foobardb -user=foo -password=bar
      -
      -
      -
      -
      -
    • -
    • -

      Download the OpenShift Serverless Logic DDL zip from this link, choose the correct version, extract the files and use the scripts from the postgresql folder.

      -
    • -
    • -

      You can specify the location of the SQL files that need to be migrated using the flyway.locations option. For example,

      -
      -
      -
      -
      -
      flyway.locations=classpath:com.mycomp.migration,database/migrations,filesystem:/sql-migrations,s3:migrationsBucket,gcs:migrationsBucket
      -
      -
      -
      -
      +

      Data Index standalone service

    -
    -

    Manually executing scripts

    -
    -

    You can use the provided SQL scripts in the zip file to migrate the database by executing them one by one.

    -
    -
    -
      -
    • -

      You can find the OpenShift Serverless Logic DDL scripts by visiting this link.

      -
    • -
    • -

      Download the zip file of the scripts from the needed version for the OpenShift Serverless Logic upgrade.

      -
    • -
    • -

      Extract the files.

      -
    • -
    • -

      Execute the sql files from postgresql folder.

      -
      -
      -
      -
      -
      > psql -H host -U username -d database_name -a -f create_table.sql
      -
      -
      -
      -
      -
    • -
    -
    -
    -
    -
    -
    -

    Baseline migration

    -
    -
    -

    In order to apply migrations to an existing schema. It is necessary to establish the baseline from where Flyway should start executing new migrations. That means, in case your schema already contains a structure and from now on, new changes provided by OpenShift Serverless Logic should be applied via Flyway integration. In Flyway terms, only migrations above baselineVersion will then be applied. -Using below properties you can initialize flyway schema table.

    -
    -
    -

    Baseline using Quarkus Configuration:

    -
    -
    -
    -
    -
    quarkus.flyway.baseline-on-migrate=true
    -quarkus.flyway.baseline-version=1.32.0
    -
    -
    -
    -
    -
    -
    -

    Baseline using Flyway CLI:

    -
    -
    -
    -
    -
    $ flyway -baselineOnMigrate="true" -baselineVersion="1.32.0" migrate
    -
    -
    -
    -
    -
    - - - - - -
    - - -Be careful when enabling this feature as it removes the safety net which ensures that Flyway does not migrate the wrong database in case of a configuration mistake. -
    -
    -
    -
    -

    More details on Flyway migrations

    - -
    -

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/release-notes.html b/docs/latest/serverless-logic/release-notes.html index aad4c7e3..cb380f46 100644 --- a/docs/latest/serverless-logic/release-notes.html +++ b/docs/latest/serverless-logic/release-notes.html @@ -3,7 +3,7 @@ - New features on OpenShift Serverless Logic - Tehcnology Preview 2 Release :: Red Hat OpenShift Serverless previews + New features on main :: Red Hat OpenShift Serverless previews @@ -119,19 +119,34 @@

    Documentation

    + @@ -239,23 +251,11 @@

    Documentation

    Event Orchestration - - - @@ -323,19 +308,7 @@

    Documentation

    Persistence @@ -363,31 +336,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -398,80 +368,203 @@

    Documentation

    Integrations + + @@ -519,33 +612,62 @@

    Documentation

    -

    New features on OpenShift Serverless Logic - Tehcnology Preview 2 Release

    +

    New features on main

    -

    Notable changes

    +

    Known issues

    • -

      SRVLOGIC-160 - [operator use case] Multiple Workflows pushing to a single Data Index

      +

      SRVLOGIC-185 - Serverless logic operator builder is not able to find builder config ConfigMap.

      +
      +
        +
      • +

        Workaround - In the operator’s namespace create a copy of 'logic-operator-rhel8-builder-config' configMap with name 'sonataflow-operator-builder-config`.

        +
      • +
      +
      +
    • +
    • +

      SRVLOGIC-270 - Servlerless Logic Operator is picking the wrong builder image

      +
      +
        +
      • +

        Workaround - Configure the builder to pick this image instead (which is really the latest): registry.redhat.io/openshift-serverless-1-tech-preview/logic-swf-builder-rhel8:1.32.0-5.

        +
      • +
      +
      +
    • +
    • +

      SRVLOGIC-220 - Monitoring tab or workflow list: Duration negative and timezone incorrect

    • -

      SRVLOGIC-163 - [operator use case] Singleton Data Index per Namespace

      +

      SRVLOGIC-244 - Example serverless-workflow-loanbroker-example service discovery misconfiguration

    • -

      SRVLOGIC-144 - Productize OpenShift Serverless Logic Operator

      +

      SRVLOGIC-250 - DevUI Different UI results with dev and prod scenarios

    • +
    +
    +
    +
    +
    +

    Notable changes

    +
    +
    +
    • -

      SRVLOGIC-156 - Example to showcase the operator dev mode use case with timers

      +

      SRVLOGIC-179 - Provide the option to specify workflow properties at several levels

    • -

      SRVLOGIC-84 - Create addons to persist audit data at runtimes and a common graphql query service

      +

      SRVLOGIC-196 - Rollout operator’s deployment when custom configuration changes

    @@ -557,13 +679,34 @@

    • -

      SRVLOGIC-158 - Dynamic resources script is reading wrong container sys files on cgroupsv2

      +

      SRVLOGIC-221 - Pod instances keep spawning and terminating when deploying the workflow

      +
    • +
    • +

      SRVLOGIC-223 - Kn CLI: Build of the sample project fails with NoSuchFileException

      +
    • +
    • +

      SRVLOGIC-224 - Multiple pods are started with a simple project

      +
    • +
    • +

      SRVLOGIC-225 - Incosistent versions of Quarkus core and platform across deliverables

      +
    • +
    • +

      SRVLOGIC-230 - SonataFlow Quarkus Dev UI is not loaded

      +
    • +
    • +

      SRVLOGIC-231 - Disable question about collecting Quarkus analytics

      +
    • +
    • +

      SRVLOGIC-235 - SonataFlow builder image is failing with java.lang.NoSuchMethodError

      +
    • +
    • +

      SRVLOGIC-238 - SonataFlow examples are missing quarkus 3 upgrade

    • -

      SRVLOGIC-168 - Missing commonmark and hibernate-types sources JARs in the maven repository

      +

      SRVLOGIC-239 - SonataFlow examples are downloading logic-data-index-ephemeral-rhel8 with version 1.32

    • -

      SRVLOGIC-198 - SonataFlow builder image is not preserving resources path

      +

      SRVLOGIC-251 - Missing installation/prepare environment guide in documentation

    diff --git a/docs/latest/serverless-logic/security/authention-support-for-openapi-services.html b/docs/latest/serverless-logic/security/authention-support-for-openapi-services.html index d7b37008..4d0aff3c 100644 --- a/docs/latest/serverless-logic/security/authention-support-for-openapi-services.html +++ b/docs/latest/serverless-logic/security/authention-support-for-openapi-services.html @@ -121,19 +121,34 @@

    Documentation

    + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -1180,7 +1273,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/security/orchestrating-third-party-services-with-oauth2.html b/docs/latest/serverless-logic/security/orchestrating-third-party-services-with-oauth2.html index 6c7e5962..856bf360 100644 --- a/docs/latest/serverless-logic/security/orchestrating-third-party-services-with-oauth2.html +++ b/docs/latest/serverless-logic/security/orchestrating-third-party-services-with-oauth2.html @@ -119,19 +119,34 @@

    Documentation

    + @@ -239,23 +251,11 @@

    Documentation

    Event Orchestration - - - @@ -323,19 +308,7 @@

    Documentation

    Persistence @@ -363,31 +336,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -398,80 +368,203 @@

    Documentation

    Integrations + + @@ -556,7 +649,7 @@

    Orchestration of third-party services using OAuth 2.0 authentication

    Example of OAuth 2.0 orchestration in a workflow

    -

    To understand the example of OAuth 2.0 orchestration in a workflow, you can use the serverless-workflow-oauth2-orchestration-quarkus example application. This example application implements a workflow related to currency exchange calculations, which orchestrates an OAuth 2.0 secured REST service provided by Acme Financial Services.

    +

    To understand the example of OAuth 2.0 orchestration in a workflow, you can use the serverless-workflow-oauth2-orchestration-quarkus example application. This example application implements a workflow related to currency exchange calculations, which orchestrates an OAuth 2.0 secured REST service provided by Acme Financial Services.

    Suppose you have a set of applications that must resolve the currency exchange calculations as their regular operations, and to resolve the currency exchange calculations, you need to get the accurate exchange rates. For this purpose, you can use the Acme Financial Services.

    @@ -581,7 +674,7 @@

    -

    The further sections describes how an end-to-end solution is created in the serverless-workflow-oauth2-orchestration-quarkus example application. To see the source code of serverless-workflow-oauth2-orchestration-quarkus example application, you can clone the kogito-examples repository in GitHub and select the serverless-workflow-examples/serverless-workflow-oauth2-orchestration-quarkus directory.

    +

    The further sections describes how an end-to-end solution is created in the serverless-workflow-oauth2-orchestration-quarkus example application. To see the source code of serverless-workflow-oauth2-orchestration-quarkus example application, you can clone the kogito-examples repository in GitHub and select the serverless-workflow-examples/serverless-workflow-oauth2-orchestration-quarkus directory.

    The serverless-workflow-oauth2-orchestration-quarkus example application contains the following services to compose the solution:

    @@ -1136,7 +1229,7 @@

    -

    For more information about the acme-financial-service implementation, see acme-financial-service in serverless-workflow-oauth2-orchestration-quarkus example application.

    +

    For more information about the acme-financial-service implementation, see acme-financial-service in serverless-workflow-oauth2-orchestration-quarkus example application.

    @@ -1230,10 +1323,10 @@

    Prerequisites

    @@ -239,23 +251,11 @@

    Documentation

    Event Orchestration - - - @@ -323,19 +308,7 @@

    Documentation

    Persistence @@ -363,31 +336,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -398,80 +368,203 @@

    Documentation

    Integrations + + @@ -544,15 +637,6 @@

    Configuring OpenAPI Services Endpoints

  • Using URI alias
  • -
  • Configuring the OpenAPI services endpoints in different environments - -
  • Additional resources
  • Found an issue?
  • @@ -740,509 +824,6 @@

    Using U

    -

    Configuring the OpenAPI services endpoints in different environments

    -
    -
    -

    You can use different MicroProfile ConfigSources, such as environment variables and Kubernetes ConfigMaps, and MicroProfile Config profiles to configure the OpenAPI services in different environments. For more information about MicoProfile ConfigSources, see ConfigSources.

    -
    -
    - - - - - -
    - - -
    -

    Some operating systems allow only alphabetic characters or an underscore (_), in environment variables. Other characters such as . and / are not allowed. You must use the Environment Variables Mapping Rules, to set the value of a configuration property that contains a name with such characters.

    -
    -
    -
    -
    -

    The testing procedure described in this document is based on the serverless-workflow-stock-profit example application in GitHub repository. The serverless-workflow-stock-profit example application is a workflow that computes the profit for a given stock based on an existing stock portfolio.

    -
    -
    -

    The serverless-workflow-stock-profit example application sends request to the following services:

    -
    -
    -
      -
    • -

      stock-portfolio-service: Calculates the stock portfolio profit for a given stock based on the current stock price.

      -
    • -
    • -

      stock-service: Retrieves the current stock price.

      -
    • -
    -
    -
    -

    Developing an application using a service that returns different results every time can be difficult, therefore the stock-service uses the following implementations depending on the environment.

    -
    -
    -
      -
    • -

      real-stock-service (default implementation): Returns the real stock price. This service returns a random price every time to simulate a real stock service. This implementation is used in normal or production environment.

      -
    • -
    • -

      fake-stock-service: Returns the same price every time. This implementation is used in the development environment.

      -
    • -
    -
    -
    -

    The stock-profit service contains the following workflow definition:

    -
    -
    -
    Workflow definition in stock-profit service
    -
    -
    {
    -  "id": "stockprofit",
    -  "specVersion": "0.8",
    -  "version": "2.0.0-SNAPSHOT",
    -  "name": "Stock profit Workflow",
    -  "start": "GetStockPrice",
    -  "functions": [
    -    {
    -      "name": "getStockPriceFunction",
    -      "operation": "openapi/stock-svc.yaml#getStockPrice" (1)
    -    },
    -    {
    -      "name": "getProfitFunction",
    -      "operation": "openapi/stock-portfolio-svc.yaml#getStockProfit" (2)
    -    }
    -  ],
    -  "states": [
    -    {
    -      "name": "GetStockPrice",
    -      "type": "operation",
    -      "actionMode": "sequential",
    -      "actions": [
    -        {
    -          "name": "getStockPrice",
    -          "functionRef": {
    -            "refName": "getStockPriceFunction",
    -            "arguments": {
    -              "symbol": ".symbol"
    -            }
    -          }
    -        }
    -      ],
    -      "transition": "ComputeProfit"
    -    },
    -    {
    -      "name": "ComputeProfit",
    -      "type": "operation",
    -      "actionMode": "sequential",
    -      "actions": [
    -        {
    -          "name": "getStockProfit",
    -          "functionRef": {
    -            "refName": "getProfitFunction",
    -            "arguments": {
    -              "symbol": ".symbol",
    -              "currentPrice": ".currentPrice"
    -            }
    -          }
    -        }
    -      ],
    -      "end": true
    -    }
    -  ]
    -}
    -
    -
    -
    - - - - - - - - - -
    1Defines the stock-service service operation
    2Defines the stock-portfolio-service service operation
    -
    -
    -

    OpenShift Serverless Logic leverages Quarkus profiles to configure the workflow application depending on the target environment.

    -
    -
    -

    To set properties for different profiles, each property needs to be prefixed with a percentage (%) followed by the profile name and a period (.) in the syntax as %<profile-name>.config.name. By default, Quarkus provides the following profiles that activate automatically in certain conditions:

    -
    -
    -
      -
    • -

      dev: Activates in development mode, such as quarkus:dev

      -
    • -
    • -

      test: Activates when tests are running

      -
    • -
    • -

      prod (default profile): Activates when not running in development or test mode

      -
    • -
    -
    -
    -

    You can also create additional profiles and activate them using the quarkus.profile configuration property. For more information about Quarkus profiles, see Profiles in the Quarkus Configuration reference guide.

    -
    -
    -

    Defining URLs of the services in different environments

    -
    -

    You can define the URLs of the services in different environments by using profiles.

    -
    -
    -
    Procedure
    -
      -
    1. -

      Create a file named application.properties in the src/main/resources directory of the workflow project, if the file does not exist.

      -
    2. -
    3. -

      In the application.properties file, add the OpenAPI configuration for the default environment:

      -
      -
      -
      -
      Example properties in application.properties file
      -
      -
      quarkus.rest-client.stock_svc_yaml.url=http://localhost:8383/ (1)
      -quarkus.rest-client.stock_portfolio_svc_yaml.url=http://localhost:8282/
      -
      -
      -
      - - - - - -
      1URL of the real-stock-service service
      -
      -
      -
      -
    4. -
    5. -

      In the application.properties file, add the OpenAPI configuration for the dev environment:

      -
      -
      -
      -
      Example properties for development environment
      -
      -
      %dev.quarkus.rest-client.stock_svc_yaml.url=http://localhost:8181/ (1)
      -
      -
      -
      - - - - - -
      1URL of the fake-stock-service service
      -
      -
      - - - - - -
      - - -
      -

      The %dev. prefix indicates the dev profile configuration, which is used when you run mvn quarkus:dev or quarkus dev.

      -
      -
      -
      -
      -
      -
    6. -
    -
    -
    -
    -

    Running the services

    -
    -

    After defining the URLs of the services, you can run the services that the workflow sends request to.

    -
    -
    -
    Prerequisites
    - -
    -
    -
    Procedure
    -
      -
    1. -

      In a separate command terminal window, run the stock-portfolio-service service:

      -
      -
      -
      -

      Run the stock-portfolio-service service

      -
      -
      -
      -
      cd stock-portfolio-service
      -mvn quarkus:dev -Ddebug=false
      -
      -
      -
      -

      You can access the stock-portfolio-service service at localhost:8282/.

      -
      -
      -
      -
    2. -
    3. -

      In a separate command terminal window, run the real-stock-service service:

      -
      -
      -
      -

      Run real-stock-service service

      -
      -
      -
      -
      cd real-stock-service
      -mvn quarkus:dev -Ddebug=false
      -
      -
      -
      -

      You can access the real-stock-service service at localhost:8383/.

      -
      -
      -
      -
    4. -
    5. -

      In a separate command terminal window, run the fake-stock-service service:

      -
      -
      -
      -
      Run fake-stock-service service
      -
      -
      cd fake-stock-service
      -mvn quarkus:dev -Ddebug=false
      -
      -
      -
      -

      You can access the fake-stock-service service at localhost:8181/.

      -
      -
      -
      -
    6. -
    -
    -
    -
    -

    Running workflow application in development mode

    -
    -

    When you define %dev.quarkus.rest-client.stock_svc_yaml.url=http://localhost:8181/, the fake-stock-service service is used in the development mode and you get the same result every time you run the workflow. Using this example, you can run the workflow application in development mode.

    -
    -
    -
    Prerequisites
    -
      -
    • -

      Services that the workflow application sends requests to are started.

      -
      -

      For more information, see Running the services.

      -
      -
    • -
    -
    -
    -
    Procedure
    -
      -
    1. -

      In a separate command terminal window, run the workflow application in development mode:

      -
      -
      -
      -
      Run workflow application in development mode
      -
      -
      cd stock-profit
      -mvn quarkus:dev -Ddebug=false
      -
      -
      -
      -
      -
    2. -
    3. -

      In a separate command terminal window, send a request to the workflow application:

      -
      -
      -
      -
      Example request
      -
      -
      curl -X 'POST' \
      -  'http://localhost:8080/stockprofit' \
      -  -H 'accept: */*' \
      -  -H 'Content-Type: application/json' \
      -  -d '{ "symbol": "KGTO" }'
      -
      -
      -
      -
      Example response
      -
      -
      {"id":"5ab5dcb8-5952-4730-b526-cace363774bb","workflowdata":{"symbol":"KGTO","currentPrice":75,"profit":"50%"}}
      -
      -
      -
      -

      Note that, in the previous example fake-stock-service is used, therefore, the computed profit property is same no matter how many times you run the workflow.

      -
      -
      -
      -
    4. -
    -
    -
    -
    -

    Running workflow application in production mode

    -
    -

    When you define quarkus.rest-client.stock_svc_yaml.url=http://localhost:8383/, the real-stock-service service is used in the normal or production mode and you get different results every time you run the workflow. Using this example, you can run the workflow application in normal or production mode.

    -
    -
    -
    Prerequisites
    -
      -
    • -

      Services that the workflow application sends requests to are started.

      -
      -

      For more information, see Running the services.

      -
      -
    • -
    -
    -
    -
    Procedure
    -
      -
    1. -

      In a separate command terminal window, package the workflow application to be run as fat JAR:

      -
      -
      -
      -
      Package workflow application
      -
      -
      cd stock-profit
      -mvn package
      -
      -
      -
      -
      -
    2. -
    3. -

      In a separate command terminal window, run the workflow application in normal or production mode:

      -
      -
      -
      -
      Run workflow application in normal or production mode
      -
      -
      java -jar target/quarkus-app/quarkus-run.jar
      -
      -
      -
      -
      -
    4. -
    5. -

      In a separate command terminal window, send a request to the workflow application:

      -
      -
      -
      -
      Example request
      -
      -
      curl -X 'POST' \
      -  'http://localhost:8080/stockprofit' \
      -  -H 'accept: */*' \
      -  -H 'Content-Type: application/json' \
      -  -d '{ "symbol": "KGTO" }'
      -
      -
      -
      -
      Example response
      -
      -
      {"id":"a80c95d6-51fd-4ca9-b689-f779929c9937","workflowdata":{"symbol":"KGTO","currentPrice":59.36,"profit":"19%"}}
      -
      -
      -
      -

      Note that, in the previous example, the real-stock-service is used, therefore, the computed profit property is different every time you run the workflow.

      -
      -
      -
      -
    6. -
    -
    -
    -
    -

    Defining URLs of services in different environments using environment variables

    -
    -

    You can define the URLs of the services in different environments using profiles and environment variables.

    -
    -
    -
    Prerequisites
    -
      -
    • -

      Services that the workflow application sends requests to are started.

      -
      -

      For more information, see Running the services.

      -
      -
    • -
    -
    -
    -
    Procedure
    -
      -
    1. -

      In a separate command terminal window, run the workflow application in development mode, overwriting the property defined in the application.properties file using an environment variable:

      -
      -
      -
      -
      Run the workflow application in development mode
      -
      -
      cd stock-profit
      -export _DEV_QUARKUS_REST_CLIENT_STOCK_SVC_YAML_URL=http://localhost:8383/ (1)
      -mvn quarkus:dev -Ddebug=false
      -
      -
      -
      - - - - - -
      1Overwrite the %dev.quarkus.rest-client.stock_svc_yaml.url=http://localhost:8181/ defined in the application.properties file using an environment variable, which is pointing to real-stock-service.
      -
      -
      -
      -
    2. -
    3. -

      In a separate command terminal window, send a request to the workflow application:

      -
      -
      -
      -
      Example request
      -
      -
      curl -X 'POST' \
      -  'http://localhost:8080/stockprofit' \
      -  -H 'accept: */*' \
      -  -H 'Content-Type: application/json' \
      -  -d '{ "symbol": "KGTO" }'
      -
      -
      -
      -
      Example response
      -
      -
      {"id":"5ab5dcb8-5952-4730-b526-cace363774bb","workflowdata":{"symbol":"KGTO","currentPrice":56.35,"profit":"13%"}}
      -
      -
      -
      -

      Note that, in the previous example, you overwrote the property defined in the application.properties file to point to real-stock-service, therefore, the computed profit property is different every time you run the workflow.

      -
      -
      -
      -
    4. -
    -
    -
    -
    -
    -

    Additional resources

    @@ -1261,7 +845,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/service-orchestration/orchestration-of-openapi-based-services.html b/docs/latest/serverless-logic/service-orchestration/orchestration-of-openapi-based-services.html index f32a364f..7d39af9d 100644 --- a/docs/latest/serverless-logic/service-orchestration/orchestration-of-openapi-based-services.html +++ b/docs/latest/serverless-logic/service-orchestration/orchestration-of-openapi-based-services.html @@ -121,19 +121,34 @@

    Documentation

    + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -542,7 +635,7 @@

    Orchestrating OpenAPI Services

  • A workflow project is created.

    -

    For more information about creating a workflow project, see Creating your first Serverless Workflow service.

    +

    For more information about creating a workflow project, see Creating your first workflow project.

  • @@ -650,7 +743,7 @@

    -

    For more information about building workflow images, see Building workflow images using Quarkus CLI.

    +

    For more information about building workflow images, see Building workflow images using Quarkus CLI.

  • @@ -770,7 +863,7 @@

    -

    You can also use the serverless-workflow-temperature-conversion example application as a reference.

    +

    You can also use the serverless-workflow-temperature-conversion example application as a reference.

    @@ -1212,7 +1308,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/service-orchestration/troubleshooting.html b/docs/latest/serverless-logic/service-orchestration/troubleshooting.html new file mode 100644 index 00000000..abf9cba8 --- /dev/null +++ b/docs/latest/serverless-logic/service-orchestration/troubleshooting.html @@ -0,0 +1,755 @@ + + + + + + Troubleshooting Services Orchestrations :: Red Hat OpenShift Serverless previews + + + + + + + + + + + + + +
    + +
    + +
    +
    +
    +

    Troubleshooting Services Orchestrations

    +
    +
    +
    +

    This document describes an ongoing list of known issues while orchestrating services with workflows.

    +
    +
    + +
    +
    +

    Troubleshooting HTTP Services Invocations

    +
    +
    +

    The backbone of workflow orchestrations are remote HTTP services invocations, for example when using OpenAPI functions. Following a few steps that can be useful when troubleshooting HTTP-based functions.

    +
    +
    +

    Tracing HTTP Requests and Responses

    +
    +

    Under the hood, OpenShift Serverless Logic uses Apache HTTP Client. You can turn HTTP requests and responses tracing by setting the following property:

    +
    +
    +
    Turning HTTP tracing on
    +
    +
    quarkus.log.category."org.apache.http".level=DEBUG
    +
    +
    +
    +

    Reset the application so the log configuration is propagated. After that, you can find HTTP tracing in your logs.

    +
    +
    +
    HTTP Request trace
    +
    +
    ...
    +2023-09-25 19:00:55,242 DEBUG Executing request POST /v2/models/yolo-model/infer HTTP/1.1
    +...
    +2023-09-25 19:00:55,243 DEBUG http-outgoing-0 >> POST /v2/models/yolo-model/infer HTTP/1.1 (1)
    +2023-09-25 19:00:55,243 DEBUG http-outgoing-0 >> Accept: application/json
    +2023-09-25 19:00:55,243 DEBUG http-outgoing-0 >> Content-Type: application/json
    +2023-09-25 19:00:55,243 DEBUG http-outgoing-0 >> kogitoprocid: inferencepipeline (2)
    +2023-09-25 19:00:55,243 DEBUG http-outgoing-0 >> kogitoprocinstanceid: 85114b2d-9f64-496a-bf1d-d3a0760cde8e (3)
    +2023-09-25 19:00:55,243 DEBUG http-outgoing-0 >> kogitoprocist: Active
    +2023-09-25 19:00:55,243 DEBUG http-outgoing-0 >> kogitoproctype: SW
    +2023-09-25 19:00:55,243 DEBUG http-outgoing-0 >> kogitoprocversion: 1.0
    +2023-09-25 19:00:55,243 DEBUG http-outgoing-0 >> Content-Length: 23177723
    +2023-09-25 19:00:55,244 DEBUG http-outgoing-0 >> Host: yolo-model-opendatahub-model.apps.trustyai.dzzt.p1.openshiftapps.com
    +...
    +
    +
    +
    +
      +
    1. +

      The path where the client will make the HTTP invocation

      +
    2. +
    3. +

      The workflow definition id

      +
    4. +
    5. +

      The workflow instance (execution) id

      +
    6. +
    +
    +
    +

    In the example above, you have access to every portion of the HTTP request and can verify if something is wrong during the message creation. +For example, you can use the kogitoprocinstanceid header to trace this HTTP message in the logs.

    +
    +
    +

    For responses, you should be able to see the details below the request body:

    +
    +
    +
    HTTP Response trace
    +
    +
    ...
    +2023-09-25 19:01:00,738  DEBUG http-outgoing-0 << "HTTP/1.1 500 Internal Server Error[\r][\n]" (1)
    +2023-09-25 19:01:00,738  DEBUG http-outgoing-0 << "content-type: application/json[\r][\n]"
    +2023-09-25 19:01:00,738  DEBUG http-outgoing-0 << "date: Mon, 25 Sep 2023 19:01:00 GMT[\r][\n]"
    +2023-09-25 19:01:00,738  DEBUG http-outgoing-0 << "content-length: 186[\r][\n]"
    +2023-09-25 19:01:00,738  DEBUG http-outgoing-0 << "set-cookie: 276e4597d7fcb3b2cba7b5f037eeacf5=5427fafade21f8e7a4ee1fa6c221cf40; path=/; HttpOnly; Secure; SameSite=None[\r][\n]"
    +2023-09-25 19:01:00,738  DEBUG http-outgoing-0 << "[\r][\n]"
    +2023-09-25 19:01:00,738  DEBUG http-outgoing-0 << "{"code":13, "message":"Failed to load Model due to adapter error: Error calling stat on model file: stat /models/yolo-model__isvc-1295fd6ba9/yolov5s-seg.onnx: no such file or directory"}" (2)
    +...
    +
    +
    +
    +
      +
    1. +

      Response code returned by the server. In this example, a general server error

      +
    2. +
    3. +

      Response body containing the message body returned by the server

      +
    4. +
    +
    +
    +

    Having the details about the HTTP invocation enables users to do a better assessment about the behavior of a given workflow.

    +
    +
    +
    +
    +
    +

    Found an issue?

    +
    +
    +

    If you find an issue or any misleading information, please feel free to report it here. +We really appreciate it!

    +
    +
    +
    +
    +
    +
    +
    +
    +

    Adapted from Antora default UI, (c) 2019

    +
    + + + + + + diff --git a/docs/latest/serverless-logic/service-orchestration/working-with-openapi-callbacks.html b/docs/latest/serverless-logic/service-orchestration/working-with-openapi-callbacks.html index 9a2c5688..7c1a92cb 100644 --- a/docs/latest/serverless-logic/service-orchestration/working-with-openapi-callbacks.html +++ b/docs/latest/serverless-logic/service-orchestration/working-with-openapi-callbacks.html @@ -119,19 +119,34 @@

    Documentation

    + @@ -239,23 +251,11 @@

    Documentation

    Event Orchestration - - - @@ -323,19 +308,7 @@

    Documentation

    Persistence @@ -363,31 +336,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -398,80 +368,203 @@

    Documentation

    Integrations + + @@ -518,7 +611,11 @@

    Documentation

    @@ -555,162 +652,21 @@

    OpenAPI Callback in OpenShift Serverless Logic

    -

    Example of the OpenAPI Callback

    -
    -
    -

    To understand the OpenAPI Callback, see the serverless-workflow-callback-events-over-http-quarkus example application in GitHub repository.

    -
    -
    -

    This example contains a simple workflow-service that illustrates callback state using OpenAPI callbacks functionality. A callback is a state that invokes an action and wait for an event (event that will be eventually fired by the external service notified by the action). This example consists of a callback state that waits for an event to arrive at the wait channel. Its action calls an external service named callback-event-service that publishes the wait event over HTTP. After consuming the wait event, the workflow prints the message received in the wait event and ends the workflow.

    -
    -
    -

    The serverless-workflow-callback-events-over-http-quarkus application is initiated with the following request to localhost:8080/callback:

    -
    -
    -
    -
    {
    -  "message": "Hello"
    -}
    -
    -
    -
    -

    Once the workflow is started, it makes an external service call with the callback URL and the workflow instance ID in the request body to callback-event-service. Then, as configured in the OpenAPI file, the callback URL is invoked to send a CloudEvent to the workflow.

    -
    -
    -

    Once the wait type CloudEvent is received by the callback-workflow-service, the workflow moves to the next state and ends successfully. The following figure shows the serverless-workflow-callback-events-over-http-quarkus image:

    -
    -
    -
    -openapi callback -
    -
    -
    -

    To use the OpenAPI callback in a workflow, the OpenAPI YAML file is configured with the callback as specified in the OpenAPI file.

    -
    -
    -

    To use the Callback state in a workflow, first CloudEvent type wait is declared that the workflow uses. Following is an example of CloudEvents declaration in a workflow definition:

    -
    -
    -
    Example of CloudEvent declaration in a workflow definition
    -
    -
     "events": [
    -    {
    -      "name": "waitEvent",
    -      "source": "",
    -      "type": "wait"
    -    }
    -
    -
    -
    -

    After that, a Callback state is declared, which waits for a CloudEvent with the wait type. Following is an example of declaring a Callback state that handles the wait type CloudEvent:

    -
    -
    -
    Example of a Callback State declaration handling the wait CloudEvent
    -
    -
     {
    -      "name": "waitForEvent",
    -      "type": "callback",
    -      "action":
    -        {
    -        "functionRef": {
    -          "refName": "callBack",
    -          "arguments": {
    -            "uri": "http://localhost:8080/wait",
    -            "processInstanceId": "$WORKFLOW.instanceId"
    -          }
    -        }
    -      },
    -      "eventRef": "waitEvent",
    -      "transition": "finish"
    -    }
    -
    -
    -
    - - - - - -
    - - -
    -

    Please refer configure openapi service endpoints document to set the URL dynamically using an environment variable.

    -
    -
    -
    -
    -

    An event listener publishes a new wait type CloudEvent. Following is an example of a Java method that publishes the wait type CloudEvent:

    -
    -
    -
    Example of a Java method that makes a call to Callback URL and publishes the wait CloudEvent
    -
    -
        @POST
    -    @Consumes(MediaType.APPLICATION_JSON)
    -    public void wait(EventInput eventInput) throws JsonProcessingException {
    -        logger.info("About to generate event for {}",eventInput);
    -        CloudEventBuilder builder = CloudEventBuilder.v1()
    -                .withId(UUID.randomUUID().toString())
    -                .withSource(URI.create(""))
    -                .withType("wait")
    -                .withTime(OffsetDateTime.now())
    -                .withExtension(CloudEventExtensionConstants.PROCESS_REFERENCE_ID, eventInput.getProcessInstanceId())
    -                .withData(objectMapper.writeValueAsBytes(Collections.singletonMap("message", "New Event")));
    -
    -        webClient.postAbs(eventInput.getUri()).sendJson(builder.build()).toCompletionStage();
    -    }
    -
    -
    -
    -

    The callback-workflow-service consumes the CloudEvent, it contains an attribute named kogitoprocrefid, which holds the instance ID of the workflow.

    -
    -
    -

    The kogitoprocrefid attribute is crucial because when the correlation is not used, then this attribute is the only way for the Callback state to identify that the related CloudEvent needs to be used to resume the workflow. For more information about correlation, see Event correlation in OpenShift Serverless Logic.

    -
    -
    -

    Note that each workflow is identified by a unique instance ID, which is automatically included in any published CloudEvent, as kogitoprocinstanceid CloudEvent extension.

    -
    -
    -

    HTTP transport configuration

    -
    -

    The serverless-workflow-callback-events-over-http-quarkus example application consumes the Cloudevents using Knative Eventing. For more information about incoming and outgoing CloudEvents oer HTTP, see Consuming and Producing CloudEvents over HTTP.

    -
    -
    -

    The HTTP path where the workflow application will listen for the CloudEvents in the serverless-workflow-callback-events-over-http-quarkus example application, is configured in the application.properties file as shown below:

    -
    -
    -
    -
    mp.messaging.incoming.wait.connector=quarkus-http
    -mp.messaging.incoming.wait.path=/wait
    -
    -
    -
    -
    -
    -

    Additional resources

    @@ -720,7 +676,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/supporting-services/job-service/core-concepts.html b/docs/latest/serverless-logic/supporting-services/job-service/core-concepts.html deleted file mode 100644 index c30f7b8a..00000000 --- a/docs/latest/serverless-logic/supporting-services/job-service/core-concepts.html +++ /dev/null @@ -1,1558 +0,0 @@ - - - - - - Introduction :: Red Hat OpenShift Serverless previews - - - - - - - - - - - - - -
    - -
    - -
    -
    -
    -

    Introduction

    -
    -
    -
    -

    The Job Service facilitates the scheduled execution of tasks in a cloud environment. These tasks are implemented by independent services, and can be started by using any of the Job Service supported interaction modes, based on Http calls or Knative Events delivery.

    -
    -
    -

    To schedule the execution of a task you must create a Job, that is configured with the following information:

    -
    -
    -
      -
    • -

      Schedule: the job triggering periodicity.

      -
    • -
    • -

      Recipient: the entity that is called on the job execution for the given interaction mode, and receives the execution parameters.

      -
    • -
    -
    -
    -
    -Job Service Generic Diagram -
    -
    -
    - -
    -
    -

    Integration with the Workflows

    -
    -
    -

    In the context of the OpenShift Serverless Logics, the Job Service is responsible for controlling the execution of the time-triggered actions. And thus, all the time-base states that you can use in a workflow, are handled by the interaction between the workflow and the Job Service.

    -
    -
    -

    For example, every time the workflow execution reaches a state with a configured timeout, a corresponding job is created in the Job Service, and when the timeout is met, a http callback is executed to notify the workflow.

    -
    -
    -
    -Time Based States And Job Service Interaction -
    -
    -
    -

    To set up this integration you can use different communication alternatives, that must be configured by combining the Job Service and the Quarkus Workflow Project configurations.

    -
    -
    - - - - - -
    - - -
    -

    If the project is not configured to use the Job Service, all time-based actions will use an in-memory implementation of that service. -However, this setup must not be used in production, since every time the application is restarted, all the timers are lost. -This last is not suited for serverless architectures, where the applications might scale to zero at any time, etc.

    -
    -
    -
    -
    -
    -
    -

    Jobs life-span

    -
    -
    -

    Since the main goal of the Job Service is to work with the active jobs, such as the scheduled jobs that needs to be executed, when a job reaches a final state, it is removed from the Job Service. -However, in some cases where you want to keep the information about the jobs in a permanent repository, you can configure the Job Service to produce status change events, that can be collected by the {data_index_xref}[Data Index Service], where they can be indexed and made available by GraphQL queries.

    -
    -
    -
    -
    -

    Executing

    -
    -
    -

    To execute the Job Service in your docker or kubernetes environment, you must use the following image:

    -
    - -
    -

    In the next topics you can see the different configuration parameters that you must use, for example, to configure the persistence mechanism, the eventing system, etc. -More information on this image can be found here.

    -
    -
    -

    We recommend that you follow this procedure:

    -
    -
    -
      -
    1. -

      Identify the persistence mechanism to use and see the required configuration parameters.

      -
    2. -
    3. -

      Identify if the Eventing API is required for your needs and see the required configuration parameters.

      -
    4. -
    5. -

      Identify if the project containing your workflows is configured with the appropriate Job Service Quarkus Extension.

      -
    6. -
    -
    -
    -

    Finally, to run the image, you must use the environment variables exposed by the image, and other configurations that you can set using additional environment variables or using system properties with java like names.

    -
    -
    -

    Exposed environment variables

    - ---- - - - - - - - - - - - - - - - - -
    VariableDescription

    SCRIPT_DEBUG

    Enable debug level of the image and its operations.

    JOBS_SERVICE_PERSISTENCE

    Any of the following values: postgresql, ephemeral, or infinispan to select the persistence mechanism to use, see.

    -
    - - - - - -
    - - -
    -

    If used, these values must always be passed as environment variables.

    -
    -
    -
    -
    -
    -

    Using environment variables

    -
    -

    To configure the image by using environment variables you must pass one environment variable per each parameter.

    -
    -
    -
    Job Service image configuration for docker execution example
    -
    -
    docker run -it -e JOBS_SERVICE_PERSISTENCE=postgresql -e VARIABLE_NAME=value quay.io/kiegroup/kogito-jobs-service-allinone:latest
    -
    -
    -
    -
    Job Service image configuration for Kubernetes execution example
    -
    -
    spec:
    -  containers:
    -    - name: jobs-service-postgresql
    -      image: quay.io/kiegroup/kogito-jobs-service-allinone-nightly:latest
    -      imagePullPolicy: Always
    -      ports:
    -        - containerPort: 8080
    -          name: http
    -          protocol: TCP
    -      env:
    -        # Set the image parameters as environment variables in the container definition.
    -        - name: KUBERNETES_NAMESPACE
    -          valueFrom:
    -            fieldRef:
    -              fieldPath: metadata.namespace
    -        - name: JOBS_SERVICE_PERSISTENCE
    -          value: "postgresql"
    -        - name: QUARKUS_DATASOURCE_USERNAME
    -          value: postgres
    -        - name: QUARKUS_DATASOURCE_PASSWORD
    -          value: pass
    -        - name: QUARKUS_DATASOURCE_JDBC_URL
    -          value: jdbc:postgresql://timeouts-showcase-database:5432/postgres?currentSchema=jobs-service
    -        - name: QUARKUS_DATASOURCE_REACTIVE_URL
    -          value: postgresql://timeouts-showcase-database:5432/postgres?search_path=jobs-service
    -
    -
    -
    - - - - - -
    - - -
    -

    This is the recommended approach when you execute the Job Service in kubernetes. -The timeouts showcase example Quarkus Workflow Project with standalone services contains an example of this configuration, see.

    -
    -
    -
    -
    -
    -

    Using system properties with java like names

    -
    -

    To configure the image by using system properties you must pass one property per parameter, however, in this case, all these properties are passed as part of a single environment with the name JAVA_OPTIONS.

    -
    -
    -
    Job Service image configuration for docker execution example
    -
    -
    docker run -it -e JOBS_SERVICE_PERSISTENCE=postgresql -e JAVA_OPTIONS='-Dmy.sys.prop1=value1 -Dmy.sys.prop2=value2' \
    -quay.io/kiegroup/kogito-jobs-service-allinone:latest
    -
    -
    -
    - - - - - -
    - - -
    -

    I case that you need to convert a java like property name, to the corresponding environment variable name, to use the environment variables configuration alternative, you must apply the naming convention defined in the Quarkus Configuration Reference. -For example, the name quarkus.datasource.jdbc.url must be converted to QUARKUS_DATASOURCE_JDBC_URL.

    -
    -
    -
    -
    -
    -
    -
    -

    Global configurations

    -
    -
    -

    Global configurations that affects the job execution retries, startup procedure, etc.

    -
    -
    -
    -
      -
    • -

      Using environment variables

      -
    • -
    • -

      Using system properties with java like names

      -
    • -
    -
    -
    -
    - ----- - - - - - - - - - - - - - - - - - - - -
    NameDescriptionDefault

    KOGITO_JOBS_SERVICE_BACKOFFRETRYMILLIS

    A long value that defines the retry back-off time in milliseconds between job execution attempts, in case the execution fails.

    1000

    KOGITO_JOBS_SERVICE_MAXINTERVALLIMITTORETRYMILLIS

    A long value that defines the maximum interval in milliseconds when retrying to execute jobs, in case the execution fails.

    60000

    -
    -
    - ----- - - - - - - - - - - - - - - - - - - - -
    NameDescriptionDefault

    kogito.jobs-service.backoffRetryMillis

    A long value that defines the retry back-off time in milliseconds between job execution attempts, in case the execution fails.

    1000

    kogito.jobs-service.maxIntervalLimitToRetryMillis

    A long value that defines the maximum interval in milliseconds when retrying to execute jobs, in case the execution fails.

    60000

    -
    -
    -
    -
    -
    -
    -

    Persistence

    -
    -
    -

    An important configuration aspect of the Job Service is the persistence mechanism, it is where all the jobs information is stored, and guarantees no information is lost upon service restarts.

    -
    -
    -

    The Job Service image is shipped with the PostgreSQL, Ephemeral, and Infinispan persistence mechanisms, that can be switched by setting the JOBS_SERVICE_PERSISTENCE environment variable to any of these values postgresql, ephemeral, or infinispan. If not set, it defaults to the ephemeral option.

    -
    -
    - - - - - -
    - - -
    -

    The kogito-jobs-service-allinone image is a composite packaging that include one different image per each persistence mechanism, making it clearly bigger sized than the individual ones. If that size represents an issue in your installation you can use the individual ones instead. -Finally, if you use this alternative, the JOBS_SERVICE_PERSISTENCE must not be used, since the persistence mechanism is auto-determined.

    -
    - -
    -
    -
    -

    PostgreSQL

    -
    -

    PostgreSQL is the recommended database to use with the Job Service. -Additionally, it provides an initialization procedure that integrates Flyway for the database initialization. Which automatically controls the database schema, in this way, the tables are created or updated by the service when required.

    -
    -
    -

    In case you need to externally control the database schema, you can check and apply the DDL scripts for the Job Service in the same way as described in -Manually executing scripts guide.

    -
    -
    -

    To configure the PostgreSQL persistence you must provide these configurations:

    -
    -
    -
    -
      -
    • -

      Using environment variables

      -
    • -
    • -

      Using system properties with java like names

      -
    • -
    -
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    -
    - ----- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    VariableDescriptionExample value

    JOBS_SERVICE_PERSISTENCE

    Configure the persistence mechanism that must be used.

    postgresql

    QUARKUS_DATASOURCE_USERNAME

    Username to connect to the database.

    postgres

    QUARKUS_DATASOURCE_PASSWORD

    Password to connect to the database

    pass

    QUARKUS_DATASOURCE_JDBC_URL

    JDBC datasource url used by Flyway to connect to the database.

    jdbc:postgresql://timeouts-showcase-database:5432/postgres?currentSchema=jobs-service

    QUARKUS_DATASOURCE_REACTIVE_URL

    Reactive datasource url used by the Job Service to connect to the database.

    postgresql://timeouts-showcase-database:5432/postgres?search_path=jobs-service

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    VariableDescriptionExample value

    JOBS_SERVICE_PERSISTENCE

    Always an environment variable

    postgresql

    quarkus.datasource.username

    Username to connect to the database.

    postgres

    quarkus.datasource.password

    Password to connect to the database

    pass

    quarkus.datasource.jdbc.url

    JDBC datasource url used by Flyway to connect to the database.

    jdbc:postgresql://timeouts-showcase-database:5432/postgres?currentSchema=jobs-service

    quarkus.datasource.reactive.url

    Reactive datasource url used by the Job Service to connect to the database.

    postgresql://timeouts-showcase-database:5432/postgres?search_path=jobs-service

    -
    -
    -
    -
    -

    The timeouts showcase example Quarkus Workflow Project with standalone services, shows how to run a PostgreSQL based Job Service as a Kubernetes deployment. -In your local environment you might have to change some of these values to point to your own PostgreSQL database.

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    Ephemeral

    -
    -

    The Ephemeral persistence mechanism is based on an embedded PostgresSQL database and does not require any external configuration. However, the database is recreated on each service restart, and thus, it must be used only for testing purposes.

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    VariableDescriptionExample value

    JOBS_SERVICE_PERSISTENCE

    Configure the persistence mechanism that must be used.

    ephemeral

    -
    - - - - - -
    - - -
    -

    If the image is started by not configuring any persistence mechanism, the Ephemeral will be defaulted.

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    Infinispan

    -
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    To configure the Infinispan persistence you must provide these configurations:

    -
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      Using environment variables

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      Using system properties with java like names

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    - ----- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    VariableDescriptionExample value

    JOBS_SERVICE_PERSISTENCE

    Configure the persistence mechanism that must be used.

    infinispan

    QUARKUS_INFINISPAN_CLIENT_HOSTS

    Sets the host name/port to connect to. Each one is separated by a semicolon.

    host1:11222;host2:11222

    QUARKUS_INFINISPAN_CLIENT_USE_AUTH

    Enables or disables authentication. Set it to false when connecting to an Infinispan Server without authentication.

    The enablement of this parameter depends on your local infinispan installation. If not set, the default value is true.

    QUARKUS_INFINISPAN_CLIENT_SASL_MECHANISM

    Sets SASL mechanism used by authentication. For more information about this parameter, see Quarkus Infinispan Client Reference.

    When the authentication is enabled the default value is DIGEST-MD5.

    QUARKUS_INFINISPAN_CLIENT_AUTH_REALM

    Sets realm used by authentication.

    When the authentication is enabled the default value is default.

    QUARKUS_INFINISPAN_CLIENT_USERNAME

    Sets username used by authentication.

    Use this property if the authentication is enabled.

    QUARKUS_INFINISPAN_CLIENT_PASSWORD

    Sets password used by authentication.

    Use this property if the authentication is enabled.

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    VariableDescriptionExample value

    JOBS_SERVICE_PERSISTENCE

    Always an environment variable

    infinispan

    quarkus.infinispan-client.hosts

    Sets the host name/port to connect to. Each one is separated by a semicolon.

    host1:11222;host2:11222

    quarkus.infinispan-client.use-auth

    Enables or disables authentication. Set it to false when connecting to an Infinispan Server without authentication.

    The enablement of this parameter depends on your local infinispan installation. If not set, the default value is true.

    quarkus.infinispan-client.sasl-mechanism

    Sets SASL mechanism used by authentication. For more information about this parameter, see Quarkus Infinispan Client Reference.

    When the authentication is enabled the default value is DIGEST-MD5.

    quarkus.infinispan-client.auth-realm

    Sets realm used by authentication.

    When the authentication is enabled the default value is default.

    quarkus.infinispan-client.username

    Sets username used by authentication.

    Use this property if the authentication is enabled.

    quarkus.infinispan-client.password

    Sets password used by authentication.

    Use this property if the authentication is enabled.

    -
    -
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    -
    - - - - - -
    - - -
    -

    The Infinispan client configuration parameters that you must configure depends on your local Infinispan service. -And thus, the table above shows only a sub-set of all the available options. To see the list of all the options supported by the quarkus infinispan client you must read the Quarkus Infinispan Client Reference.

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    Eventing API

    -
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    The Job Service provides a Cloud Event based API that can be used to create and delete jobs. -This API is useful in deployment scenarios where you want to use an event based communication from the workflow runtime to the Job Service. For the transport of these events you can use the knative eventing system or the kafka messaging system.

    -
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    Knative eventing

    -
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    By default, the Job Service Eventing API is prepared to work in a knative eventing system. This means that by adding no additional configurations parameters, it’ll be able to receive cloud events via the knative eventing system to manage the jobs. -However, you must still prepare your knative eventing environment to ensure these events are properly delivered to the Job Service, see knative eventing supporting resources.

    -
    -
    -

    Finally, the only configuration parameter that you must set, when needed, is to enable the propagation of the Job Status Change events, for example, if you want to register these events in the {data_index_xref}[Data Index Service].

    -
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      Using environment variables

      -
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      Using system properties with java like names

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    - ----- - - - - - - - - - - - - - - -
    VariableDescriptionDefault value

    KOGITO_JOBS_SERVICE_HTTP_JOB_STATUS_CHANGE_EVENTS

    true to establish if the Job Status Change events must be propagated. If you set this value to true you must be sure that the sink binding was created.

    false

    -
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    - ----- - - - - - - - - - - - - - - -
    VariableDescriptionDefault value

    kogito.jobs-service.http.job-status-change-events

    true to establish if the Job Status Change events must be propagated. If you set this value to true you must be sure that the sink binding was created.

    false

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    Knative eventing supporting resources

    -
    -

    To ensure the Job Service receives the knative events to manage the jobs, you must create the create job events and delete job events triggers shown in the diagram below. -Additionally, if you have enabled the Job Status Change events propagation you must create the sink binding.

    -
    -
    -
    -Knative Eventing API Resources -
    -
    Figure 1. Knative eventing supporting resources
    -
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    -

    The following snippets shows an example on how you can configure these resources. Consider that these configurations might need to be adjusted to your local kubernetes cluster.

    -
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    - - - - - -
    - - -
    -

    We recommend that you visit this example Quarkus Workflow Project with standalone services to see a full setup of all these configurations.

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    Create Job event trigger configuration example
    -
    -
    apiVersion: eventing.knative.dev/v1
    -kind: Trigger
    -metadata:
    -  name: jobs-service-postgresql-create-job-trigger
    -spec:
    -  broker: default
    -  filter:
    -    attributes:
    -      type: job.create
    -  subscriber:
    -    ref:
    -      apiVersion: v1
    -      kind: Service
    -      name: jobs-service-postgresql
    -    uri: /v2/jobs/events
    -
    -
    -
    -
    Delete Job event trigger configuration example
    -
    -
    apiVersion: eventing.knative.dev/v1
    -kind: Trigger
    -metadata:
    -  name: jobs-service-postgresql-delete-job-trigger
    -spec:
    -  broker: default
    -  filter:
    -    attributes:
    -      type: job.delete
    -  subscriber:
    -    ref:
    -      apiVersion: v1
    -      kind: Service
    -      name: jobs-service-postgresql
    -    uri: /v2/jobs/events
    -
    -
    -
    -

    For more information about triggers, see Knative Triggers.

    -
    -
    -
    Job Service sink binding configuration example
    -
    -
    apiVersion: sources.knative.dev/v1
    -kind: SinkBinding
    -metadata:
    -  name: jobs-service-postgresql-sb
    -spec:
    -  sink:
    -    ref:
    -      apiVersion: eventing.knative.dev/v1
    -      kind: Broker
    -      name: default
    -  subject:
    -    apiVersion: apps/v1
    -    kind: Deployment
    -    selector:
    -      matchLabels:
    -        app.kubernetes.io/name: jobs-service-postgresql
    -        app.kubernetes.io/version: 2.0.0-SNAPSHOT
    -
    -
    -
    -

    For more information about sink bindings, see Knative Sink Bindings.

    -
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    -
    -
    -

    Kafka messaging

    -
    -

    To enable the Job Service Eventing API via the Kafka messaging system you must provide these configurations:

    -
    -
    -
    -
      -
    • -

      Using environment variables

      -
    • -
    • -

      Using system properties with java like names

      -
    • -
    -
    -
    -
    - ----- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    VariableDescriptionDefault value

    QUARKUS_PROFILE

    Set the quarkus profile with the value kafka-events_support to enable the kafka messaging based Job Service Eventing API.

    By default the kafka eventing api is disabled.

    KOGITO_JOBS_SERVICE_KAFKA_JOB_STATUS_CHANGE_EVENTS

    true to establish if the Job Status Change events must be propagated.

    true when the kafka-events-support profile is set.

    KAFKA_BOOTSTRAP_SERVERS

    A comma-separated list of host:port to use for establishing the initial connection to the Kafka cluster.

    localhost:9092 when the kafka-events-support profile is set.

    MP_MESSAGING_INCOMING_KOGITO_JOB_SERVICE_JOB_REQUEST_EVENTS_V2_TOPIC

    Kafka topic for events API incoming events. I general you don’t need to change this value.

    kogito-job-service-job-request-events-v2 when the kafka-events_support profile is set.

    MP_MESSAGING_OUTGOING_KOGITO_JOB_SERVICE_JOB_STATUS_EVENTS_TOPIC

    Kafka topic for job status change outgoing events. I general you don’t need to change this value.

    kogito-jobs-events when the kafka-events_support profile is set.

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    -
    - ----- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    VariableDescriptionDefault value

    quarkus.profile

    Set the quarkus profile with the value kafka-events_support to enable the kafka messaging based Job Service Eventing API.

    By default the kafka eventing api is disabled.

    kogito.jobs-service.kafka.job-status-change-events

    true to establish if the Job Status Change events must be propagated.

    true when the kafka-events-support profile is set.

    kafka.bootstrap.servers

    A comma-separated list of host:port to use for establishing the initial connection to the Kafka cluster.

    localhost:9092 when the kafka-events-support profile is set.

    mp.messaging.incoming.kogito-job-service-job-request-events-v2.topic

    Kafka topic for events API incoming events. I general you don’t need to change this value.

    kogito-job-service-job-request-events-v2 when the kafka-events_support profile is set.

    mp.messaging.outgoing.kogito-job-service-job-status-events.topic

    Kafka topic for job status change outgoing events. I general you don’t need to change this value.

    kogito-jobs-events when the kafka-events_support profile is set.

    -
    -
    -
    -
    - - - - - -
    - - -
    -

    Depending on your Kafka messaging system configuration you might need to apply additional Kafka configurations to connect to the Kafka broker, etc. -To see the list of all the supported configurations you must read the Quarkus Apache Kafka Reference Guide.

    -
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    -
    -
    -

    Leader election

    -
    -
    -

    Currently, the Job Service is a singleton service, and thus, just one active instance of the service can be scheduling and executing the jobs.

    -
    -
    -

    To avoid issues when it is deployed in the cloud, where it is common to eventually have more than one instance deployed, the Job Service supports a leader instance election process. -Only the instance that becomes the leader activates the external communication to receive and schedule jobs.

    -
    -
    -

    All the instances that are not leaders, stay inactive in a wait state and try to become the leader continuously.

    -
    -
    -

    When a new instance of the service is started, it is not set as a leader at startup time but instead, it starts the process to become one.

    -
    -
    -

    When an instance that is the leader for any issue stays unresponsive or is shut down, one of the other running instances becomes the leader.

    -
    -
    -
    -job service leader -
    -
    Figure 2. Job Service leader election
    -
    -
    - - - - - -
    - - -
    -

    This leader election mechanism uses the underlying persistence backend, which currently is only supported in the PostgreSQL implementation.

    -
    -
    -
    -
    -

    There is no need for any configuration to support this feature, the only requirement is to have the supported database with the data schema up-to-date as described in the PostgreSQL section.

    -
    -
    -

    In case the underlying persistence does not support this feature, you must guarantee that just one single instance of the Job Service is running at the same time.

    -
    -
    -

    Unresolved include directive in modules/serverless-logic/pages/supporting-services/job-service/core-concepts.adoc - include::../../pages/_common-content/report-issue.adoc[]

    -
    -
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    -

    Adapted from Antora default UI, (c) 2019

    -
    - - - - - - diff --git a/docs/latest/serverless-logic/supporting-services/job-service/quarkus-extensions.html b/docs/latest/serverless-logic/supporting-services/job-service/quarkus-extensions.html deleted file mode 100644 index 95710c3f..00000000 --- a/docs/latest/serverless-logic/supporting-services/job-service/quarkus-extensions.html +++ /dev/null @@ -1,965 +0,0 @@ - - - - - - Job Service Quarkus Extensions :: Red Hat OpenShift Serverless previews - - - - - - - - - - - - - -
    - -
    - -
    -
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    -

    Job Service Quarkus Extensions

    -
    -
    -
    -

    The interaction between the workflows and the Job Service is handled by the different Job Service Quarkus Extensions. Each extension is designed to work with a different communication alternative.

    -
    -
    -

    For example, you can select if your workflows must interact with the Job Service by sending cloud events over the knative eventing system or the kafka messaging system, or simply by executing direct REST calls.

    -
    -
    -

    Finally, for the interaction work, you must configure your Quarkus Workflow Project with the extension of your choice.

    -
    -
    -
    -Quarkus Workflow Project And Extension -
    -
    -
    -

    We recommend that you follow this procedure:

    -
    -
    -
      -
    1. -

      Identify the communication alternative that best fits your scenario.

      -
    2. -
    3. -

      Be sure that the Job Service is properly configured to support that alternative. This is very important if you want to use knative events or kafka messages to communicate with it.

      -
    4. -
    5. -

      Configure your Quarkus Workflow Project with the corresponding extension.

      -
    6. -
    -
    -
    - - - - - -
    - - -
    -

    If your workflows are not using timer-based actions, like timeouts, there is no need to add such an extension.

    -
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    -
    -
    - -
    -
    -

    Knative eventing interaction

    -
    -
    -

    To interact with the Job Service by sending cloud events over the knative eventing system you must follow these steps:

    -
    -
    -
      -
    1. -

      Be sure that you have read the Consuming and producing events on Knative Eventing guide, and that you have configured the project accordingly.

      -
    2. -
    3. -

      Add the kogito-addons-quarkus-jobs-knative-eventing extension to your Quarkus Workflow Project using any of the following alternatives:

      -
    4. -
    -
    -
    -
    -
      -
    • -

      Manually

      -
    • -
    • -

      Apache Maven

      -
    • -
    • -

      Quarkus CLI

      -
    • -
    -
    -
    -
    -
    -
    -
    <dependency>
    -    <groupId>org.kie.kogito</groupId>
    -    <artifactId>kogito-addons-quarkus-jobs-knative-eventing</artifactId>
    -</dependency>
    -
    -
    -
    -
    -
    -
    -
    mvn quarkus:add-extension -Dextensions="kogito-addons-quarkus-jobs-knative-eventing"
    -
    -
    -
    -
    -
    -
    -
    quarkus extension add kogito-addons-quarkus-jobs-knative-eventing
    -
    -
    -
    -
    -
    -
    -
      -
    1. -

      Add the following configurations to the application.properties file of your project.

      -
    2. -
    -
    -
    -
    -
    mp.messaging.outgoing.kogito-job-service-job-request-events.connector=quarkus-http
    -mp.messaging.outgoing.kogito-job-service-job-request-events.url=${K_SINK:http://localhost:8280/v2/jobs/events}
    -mp.messaging.outgoing.kogito-job-service-job-request-events.method=POST
    -
    -
    -
    - - - - - -
    - - -
    -

    The K_SINK environment variable is automatically generated by the combination of the knative ecosystem and the SinkBinding definition that will be automatically generated in the kogito.yml file.

    -
    -
    -

    If this variable is not present, the default value localhost:8280/v2/jobs/events is used instead, this can be useful in development environments if you are executing the Job Service as a standalone service.

    -
    -
    -
    -
    -
      -
    1. -

      Build your project and locate the automatically generated kogito.yml and knative.yml files in the /target/kubernetes directory of your project, see.

      -
    2. -
    -
    -
    -
    -
    mvn clean install
    -
    -
    -
    -
      -
    1. -

      Use the generated files to deploy your workflow application in the Kubernetes cluster using the following commands:

      -
    2. -
    -
    -
    -
    -
    kubectl apply -f target/kogito.yml
    -
    -kubectl apply -f target/knative.yml
    -
    -
    -
    -

    You can see a full example of this interaction mode configuration in the Quarkus Workflow Project with standalone services example project.

    -
    -
    -
    -
    -

    Kafka messaging interaction

    -
    -
    -

    To interact with the Job Service by sending cloud events over the kafka messaging system you must follow these steps:

    -
    -
    -
      -
    1. -

      Be sure that you have read the Consuming and producing events with Kafka guide, and you have configured the project accordingly.

      -
    2. -
    3. -

      Add the quarkus-smallrye-reactive-messaging-kafka and kogito-addons-quarkus-jobs-messaging extensions to your Quarkus Workflow Project using any of the following alternatives.

      -
    4. -
    -
    -
    -
    -
      -
    • -

      Manually

      -
    • -
    • -

      Apache Maven

      -
    • -
    • -

      Quarkus CLI

      -
    • -
    -
    -
    -
    -
    -
    -
    <dependency>
    -    <groupId>io.quarkus</groupId>
    -    <artifactId>quarkus-smallrye-reactive-messaging-kafka</artifactId>
    -</dependency>
    -<dependency>
    -    <groupId>org.kie.kogito</groupId>
    -    <artifactId>kogito-addons-quarkus-jobs-messaging</artifactId>
    -</dependency>
    -
    -
    -
    -
    -
    -
    -
    mvn quarkus:add-extension -Dextensions="quarkus-smallrye-reactive-messaging-kafka,kogito-addons-quarkus-jobs-messaging"
    -
    -
    -
    -
    -
    -
    -
    quarkus extension add quarkus-smallrye-reactive-messaging-kafka kogito-addons-quarkus-jobs-messaging
    -
    -
    -
    -
    -
    -
    -
      -
    1. -

      Add the following configurations to the application.properties file of your project.

      -
    2. -
    -
    -
    -
    -
    mp.messaging.outgoing.kogito-job-service-job-request-events.connector=smallrye-kafka
    -mp.messaging.outgoing.kogito-job-service-job-request-events.topic=kogito-job-service-job-request-events-v2
    -mp.messaging.outgoing.kogito-job-service-job-request-events.value.serializer=org.apache.kafka.common.serialization.StringSerializer
    -
    -
    -
    -
      -
    1. -

      Build and deploy your workflow application using any of the available procedures.

      -
    2. -
    -
    -
    -
    -
    -

    REST call interaction

    -
    -
    -

    To interact with the Job Service by executing direct REST calls you must follow these steps:

    -
    -
    -
      -
    1. -

      Add the kogito-addons-quarkus-jobs-management extension to your Quarkus Workflow Project using any of the following alternatives.

      -
    2. -
    -
    -
    -
    -
      -
    • -

      Manually

      -
    • -
    • -

      Apache Maven

      -
    • -
    • -

      Quarkus CLI

      -
    • -
    -
    -
    -
    -
    -
    -
    <dependency>
    -    <groupId>org.kie.kogito</groupId>
    -    <artifactId>kogito-addons-quarkus-jobs-management</artifactId>
    -</dependency>
    -
    -
    -
    -
    -
    -
    -
    mvn quarkus:add-extension -Dextensions="kogito-addons-quarkus-jobs-management"
    -
    -
    -
    -
    -
    -
    -
    quarkus extension add kogito-addons-quarkus-jobs-management
    -
    -
    -
    -
    -
    -
    -
      -
    1. -

      Add the following configuration to the application.properties file of your project.

      -
    2. -
    -
    -
    -
    -
    kogito.jobs-service.url=http://localhost:8280
    -
    -
    -
    - - - - - -
    - - -
    -

    When you deploy your project in a Kubernetes cluster, you must configure the kogito.jobs-service-url with the cloud URL of the Job Service. -In this case, you can also use an environment variable with the name KOGITO_JOBS_SERVICE_URL and pass it to the corresponding container, etc.

    -
    -
    -
    -
    -
      -
    1. -

      Build and deploy your workflow application using any of the available procedures.

      -
    2. -
    -
    -
    -
    -
    -

    Job Service Embedded

    -
    -
    -

    To facilitate the development and testing stage of your workflows, this extension provides an embedded Job Service instance that executes in the same runtime as your workflows, and thus, requires no additional configurations. The only consideration is that it must not be used for production installations.

    -
    -
    -

    To use this extension you must:

    -
    -
    -
      -
    1. -

      Add the kogito-addons-quarkus-jobs-service-embedded extension to your Quarkus Workflow Project using any of the following alternatives.

      -
    2. -
    -
    -
    -
    -
      -
    • -

      Manually

      -
    • -
    • -

      Apache Maven

      -
    • -
    • -

      Quarkus CLI

      -
    • -
    -
    -
    -
    -
    -
    -
    <dependency>
    -    <groupId>org.kie.kogito</groupId>
    -    <artifactId>kogito-addons-quarkus-jobs-service-embedded</artifactId>
    -</dependency>
    -
    -
    -
    -
    -
    -
    -
    mvn quarkus:add-extension -Dextensions="kogito-addons-quarkus-jobs-management"
    -
    -
    -
    -
    -
    -
    -
    quarkus extension add kogito-addons-quarkus-jobs-management
    -
    -
    -
    -
    -
    -
    -
      -
    1. -

      Build and deploy your workflow application using any of the available procedures.

      -
    2. -
    -
    -
    -

    You can see a full example of Job Service embedded usage in the Quarkus Workflow Project with embedded services example project.

    -
    -
    -

    Unresolved include directive in modules/serverless-logic/pages/supporting-services/job-service/quarkus-extensions.adoc - include::../../pages/_common-content/report-issue.adoc[]

    -
    -
    -
    -
    -
    -
    -
    -
    -

    Adapted from Antora default UI, (c) 2019

    -
    - - - - - - diff --git a/docs/latest/serverless-logic/testing-and-troubleshooting/debugging-workflow-execution-runtime.html b/docs/latest/serverless-logic/testing-and-troubleshooting/debugging-workflow-execution-runtime.html deleted file mode 100644 index 53367043..00000000 --- a/docs/latest/serverless-logic/testing-and-troubleshooting/debugging-workflow-execution-runtime.html +++ /dev/null @@ -1,537 +0,0 @@ - - - - - - Untitled :: Red Hat OpenShift Serverless previews - - - - - - - - - - - -
    - -
    - -
    -
    -
    - -
    -
    -
    -
    -
    -

    Adapted from Antora default UI, (c) 2019

    -
    - - - - - - diff --git a/docs/latest/serverless-logic/testing-and-troubleshooting/development-tools-for-troubleshooting.html b/docs/latest/serverless-logic/testing-and-troubleshooting/development-tools-for-troubleshooting.html deleted file mode 100644 index fe65405d..00000000 --- a/docs/latest/serverless-logic/testing-and-troubleshooting/development-tools-for-troubleshooting.html +++ /dev/null @@ -1,537 +0,0 @@ - - - - - - Untitled :: Red Hat OpenShift Serverless previews - - - - - - - - - - - -
    - -
    - -
    -
    -
    - -
    -
    -
    -
    -
    -

    Adapted from Antora default UI, (c) 2019

    -
    - - - - - - diff --git a/docs/latest/serverless-logic/testing-and-troubleshooting/kn-plugin-workflow-overview.html b/docs/latest/serverless-logic/testing-and-troubleshooting/kn-plugin-workflow-overview.html index fe686d27..feaf80d2 100644 --- a/docs/latest/serverless-logic/testing-and-troubleshooting/kn-plugin-workflow-overview.html +++ b/docs/latest/serverless-logic/testing-and-troubleshooting/kn-plugin-workflow-overview.html @@ -119,19 +119,34 @@

    Documentation

    + @@ -239,23 +251,11 @@

    Documentation

    Event Orchestration - - - @@ -323,19 +308,7 @@

    Documentation

    Persistence @@ -363,31 +336,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -398,80 +368,203 @@

    Documentation

    Integrations + + @@ -568,10 +661,10 @@

    Prerequisites

    • -

      Java 11+ is installed.

      +

      Java 17+ is installed.

    • -

      Maven 3.8.6 or later is installed.

      +

      Maven 3.9.6 or later is installed.

    • (Optional) Docker is installed.

      @@ -588,32 +681,10 @@

      Procedure

    1. -

      Download the latest binaries from the KIE Tooling Releases page.

      -
    2. -
    3. -

      Run the kn workflow command using one of the following methods:

      -
      -
      -
      -
      -
    4. -
    -

    -
    -

    -

    Connecting to OpenShift instance using Serverless Logic Web Tools

    -

    After setting the Extended Services, you can connect to your OpenShift instance to deploy your OpenShift Serverless Logic projects with Serverless Logic Web Tools.

    +

    You can connect to your OpenShift instance to deploy your OpenShift Serverless Logic projects with Serverless Logic Web Tools.

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/tooling/serverless-logic-web-tools/serverless-logic-web-tools-overview.html b/docs/latest/serverless-logic/tooling/serverless-logic-web-tools/serverless-logic-web-tools-overview.html index e4758f37..a6f8f6b3 100644 --- a/docs/latest/serverless-logic/tooling/serverless-logic-web-tools/serverless-logic-web-tools-overview.html +++ b/docs/latest/serverless-logic/tooling/serverless-logic-web-tools/serverless-logic-web-tools-overview.html @@ -121,19 +121,34 @@

    Documentation

    + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -632,7 +725,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/tooling/serverless-logic-web-tools/serverless-logic-web-tools-redhat-application-services-integration.html b/docs/latest/serverless-logic/tooling/serverless-logic-web-tools/serverless-logic-web-tools-redhat-application-services-integration.html index b5a98d9f..14a54bbb 100644 --- a/docs/latest/serverless-logic/tooling/serverless-logic-web-tools/serverless-logic-web-tools-redhat-application-services-integration.html +++ b/docs/latest/serverless-logic/tooling/serverless-logic-web-tools/serverless-logic-web-tools-redhat-application-services-integration.html @@ -121,19 +121,34 @@

    Documentation

    + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -765,7 +858,7 @@

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/tooling/serverless-workflow-editor/swf-editor-chrome-extension.html b/docs/latest/serverless-logic/tooling/serverless-workflow-editor/swf-editor-chrome-extension.html index 341c88b9..11b6a515 100644 --- a/docs/latest/serverless-logic/tooling/serverless-workflow-editor/swf-editor-chrome-extension.html +++ b/docs/latest/serverless-logic/tooling/serverless-workflow-editor/swf-editor-chrome-extension.html @@ -121,19 +121,34 @@

    Documentation

    + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -523,8 +616,8 @@

    Documentation

  • Serverless Logic
  • User Guides
  • Tooling
  • -
  • Serverless Workflow editor
  • -
  • Chrome GitHub extension for Serverless Workflow editor
  • +
  • Editor
  • +
  • Chrome extension for GitHub
  • @@ -643,37 +736,54 @@

    -swf editor in github -
    -
    Figure 2. Serverless Workflow file in GitHub
    +swf editor in github readonly
    -
    -

    The Serverless Workflow editor opens in read-only mode.

    +
    Figure 2. Serverless Workflow file in GitHub(read-only mode)

  • To change the read-only mode to edit mode, click the pencil icon on the top-right corner of the screen.

    +
    +
    +
    +
    +swf editor in github edit +
    +
    Figure 3. Serverless Workflow file in GitHub(edit mode)
    +
    +
    +
  • -

    You can switch to the full-screen mode. Also, you can hide the editor and view the source code using See as source button.

    +

    You can switch to the full-screen mode. Also, you can hide the editor and view the source code using the See as source button.

  • -

    Make changes to the source code, add a commit message.

    -
    -

    You can either commit the changes to a branch directly or create a new branch for pull request.

    -
    +

    Make changes to the source code, and add a commit message. You can either commit the changes to a branch directly or create a new branch for pull requests.

    +
  • +
  • +

    In a pull request, you can switch between the original and the changes using the buttons provided.

  • +
    +
    +
    +
    +swf editor in github pr +
    +
    Figure 4. Serverless Workflow file in GitHub(pr mode)
    +
    +
    +

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/tooling/serverless-workflow-editor/swf-editor-overview.html b/docs/latest/serverless-logic/tooling/serverless-workflow-editor/swf-editor-overview.html index 06ca2938..40040134 100644 --- a/docs/latest/serverless-logic/tooling/serverless-workflow-editor/swf-editor-overview.html +++ b/docs/latest/serverless-logic/tooling/serverless-workflow-editor/swf-editor-overview.html @@ -121,19 +121,34 @@

    Documentation

    + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -523,7 +616,7 @@

    Documentation

  • Serverless Logic
  • User Guides
  • Tooling
  • -
  • Serverless Workflow editor
  • +
  • Editor
  • @@ -622,7 +715,7 @@

    <

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/tooling/serverless-workflow-editor/swf-editor-vscode-extension.html b/docs/latest/serverless-logic/tooling/serverless-workflow-editor/swf-editor-vscode-extension.html index 93021fd2..eca6a1ad 100644 --- a/docs/latest/serverless-logic/tooling/serverless-workflow-editor/swf-editor-vscode-extension.html +++ b/docs/latest/serverless-logic/tooling/serverless-workflow-editor/swf-editor-vscode-extension.html @@ -121,19 +121,34 @@

    Documentation

    + @@ -241,23 +253,11 @@

    Documentation

    Event Orchestration - - - @@ -325,19 +310,7 @@

    Documentation

    Persistence @@ -365,31 +338,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -400,80 +370,203 @@

    Documentation

    Integrations + + @@ -523,8 +616,8 @@

    Documentation

  • Serverless Logic
  • User Guides
  • Tooling
  • -
  • Serverless Workflow editor
  • -
  • VS Code extension for Serverless Workflow editor
  • +
  • Editor
  • +
  • VS Code extension
  • @@ -588,9 +681,9 @@

    {serverless_workflow_vscode_extension_name} extension page in Visual Studio Marketplace and click Install.

    -
    +
    -swf editor vscode marketplace +swf editor vscode marketplace
    Figure 2. {serverless_workflow_vscode_extension_name} in Visual Studio Marketplace
    @@ -1118,7 +1211,7 @@

    Found an issue?

    -

    If you find an issue or any misleading information, please feel free to report it here. +

    If you find an issue or any misleading information, please feel free to report it here. We really appreciate it!

    diff --git a/docs/latest/serverless-logic/tooling/tooling.html b/docs/latest/serverless-logic/tooling/tooling.html index 06895ed3..6c43af77 100644 --- a/docs/latest/serverless-logic/tooling/tooling.html +++ b/docs/latest/serverless-logic/tooling/tooling.html @@ -119,19 +119,34 @@

    Documentation

    + @@ -239,23 +251,11 @@

    Documentation

    Event Orchestration - - - @@ -323,19 +308,7 @@

    Documentation

    Persistence @@ -363,31 +336,28 @@

    Documentation

    Building and Deploying Workflows - + - @@ -398,80 +368,203 @@

    Documentation

    Integrations + + diff --git a/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/callbacks/callback-state-example.html b/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/callbacks/callback-state-example.html new file mode 100644 index 00000000..95bf23de --- /dev/null +++ b/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/callbacks/callback-state-example.html @@ -0,0 +1,802 @@ + + + + + + Example of OpenShift Serverless Logic application using callback state with Quarkus :: Red Hat OpenShift Serverless previews + + + + + + + + + + + +
    + +
    + +
    +
    +
    +

    Example of OpenShift Serverless Logic application using callback state with Quarkus

    +
    +
    +
    +

    To understand the Callback state, see the serverless-workflow-callback-quarkus example application in GitHub repository.

    +
    +
    +

    The initial model of the serverless-workflow-callback-quarkus example application is empty. Once the workflow is started, it publishes a CloudEvent of the resume type and waits for a CloudEvent, which contains the type wait.

    +
    +
    +

    A listener consumes the CloudEvent with the resume type and simulates the behavior of an external service. Consequently, on the external service side, when the actions associated with the resume type CloudEvent are completed, the listener publishes a wait type CloudEvent. Once the wait type CloudEvent is received, the workflow moves to the next state and ends successfully.

    +
    +
    +

    To use the Callback state in a workflow, first CloudEvent types such as resume and wait are declared that the workflow uses. Following is an example of CloudEvents declaration in a workflow definition:

    +
    +
    +
    Example of CloudEvents declaration in a workflow definition
    +
    +
    "events": [
    +    {
    +      "name": "resumeEvent",
    +      "source": "",
    +      "type": "resume"
    +    },
    +    {
    +      "name": "waitEvent",
    +      "source": "",
    +      "type": "wait"
    +    }
    +  ]
    +
    +
    +
    +

    After that, a Callback state is declared. The Callback state publishes a resume type CloudEvent and waits for a CloudEvent with wait type. The published CloudEvent contains a move data field, and the CloudEvent that is received is expected to contain a result data field. According to the eventDataFilter, the result data field is added to the workflow model as a move field.

    +
    +
    +

    Following is an example of declaring a Callback state that handles the wait type CloudEvent:

    +
    +
    +
    Example of a Callback State declaration handling the wait CloudEvent
    +
    +
    {
    +      "name": "waitForEvent",
    +      "type": "callback",
    +      "action": {
    +        "name": "publishAction",
    +        "eventRef": {
    +          "triggerEventRef": "resumeEvent",
    +          "data": "{move: \"This is the initial data in the model\"}"
    +        }
    +      },
    +      "eventRef": "waitEvent",
    +      "eventDataFilter": {
    +        "data": ".result",
    +        "toStateData": ".move"
    +      },
    +      "transition": "finish"
    +    }
    +
    +
    +
    +

    An event listener consumes the resume type CloudEvent and publishes a new wait type CloudEvent. Following is an example of a Java method that publishes the wait type CloudEvent:

    +
    +
    +
    Example of a Java method that publishes the wait CloudEvent
    +
    +
        private String generateCloudEvent(String id, String input) {
    +        Map<String, Object> eventBody = new HashMap<>();
    +        eventBody.put("result", input + " and has been modified by the event publisher");
    +        eventBody.put("dummyEventVariable", "This will be discarded by the process");
    +        try {
    +            return objectMapper.writeValueAsString(CloudEventBuilder.v1()
    +                    .withId(UUID.randomUUID().toString())
    +                    .withSource(URI.create(""))
    +                    .withType("wait")
    +                    .withTime(OffsetDateTime.now())
    +                    .withExtension(CloudEventExtensionConstants.PROCESS_REFERENCE_ID, id)
    +                    .withData(objectMapper.writeValueAsBytes(eventBody))
    +                    .build());
    +        } catch (JsonProcessingException e) {
    +            throw new IllegalArgumentException(e);
    +        }
    +
    +    }
    +
    +
    +
    +

    After that, the workflow application consumes the event published by the listener and sets the result field. The consumed CloudEvent contains an attribute named kogitoprocrefid, which holds the workflow instance ID of the workflow.

    +
    +
    +

    The kogitoprocrefid attribute is crucial because when the correlation is not used, then this attribute is the only way for the Callback state to identify that the related CloudEvent needs to be used to resume the workflow. For more information about correlation, see Event correlation in OpenShift Serverless Logic.

    +
    +
    +

    Note that each workflow is identified by a unique instance ID, which is automatically included in any published CloudEvent, as kogitoprocinstanceid CloudEvent extension.

    +
    +
    +

    The following example shows that the event listener takes the workflow instance ID of a workflow from a CloudEvent attribute named kogitoprocinstanceid, which is associated with the CloudEvent that is consumed.

    +
    +
    +
    Example of a Java method that consumes the resume CloudEvent
    +
    +
        @Incoming("in-resume")
    +    @Outgoing("out-wait")
    +    @Acknowledgment(Strategy.POST_PROCESSING)
    +    public String onEvent(Message<String> message) {
    +        Optional<CloudEvent> ce = CloudEventUtils.decode(message.getPayload());
    +        JsonCloudEventData cloudEventData = (JsonCloudEventData) ce.get().getData();
    +        return generateCloudEvent(ce.get().getExtension(CloudEventExtensionConstants.PROCESS_INSTANCE_ID).toString(), cloudEventData.getNode().get("move").asText());
    +    }
    +
    +
    +
    +
    +
    Apache Kafka configuration in serverless-workflow-callback-quarkus
    +
    +
    +
    +
    +

    The serverless-workflow-callback-quarkus example application requires an external broker to manage the associated CloudEvents. The default setup in the serverless-workflow-callback-quarkus example application uses Apache Kafka. However, you can also use Knative Eventing.

    +
    +
    +

    Apache Kafka uses topics to publish or consume messages. In the serverless-workflow-callback-quarkus example application, two topics are used, matching the name of the CloudEvent types that are defined in the workflow, such as resume and wait. The resume and wait CloudEvent types are configured in the application.properties file.

    +
    +
    +

    For more information about using Apache Kafka with events, see Consuming and producing events using Apache Kafka.

    +
    +
    +
    +
    +
    +
    +
    + +
    + +
    +

    Found an issue?

    +
    +
    +

    If you find an issue or any misleading information, please feel free to report it here. +We really appreciate it!

    +
    +
    +
    +
    +
    +
    +
    +
    +

    Adapted from Antora default UI, (c) 2019

    +
    + + + + + + diff --git a/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/callbacks/openapi-callback-events-example.html b/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/callbacks/openapi-callback-events-example.html new file mode 100644 index 00000000..5f69c13e --- /dev/null +++ b/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/callbacks/openapi-callback-events-example.html @@ -0,0 +1,800 @@ + + + + + + Example of OpenShift Serverless Logic application using OpenAPI callback events with Quarkus :: Red Hat OpenShift Serverless previews + + + + + + + + + + + +
    + +
    + +
    +
    +
    +

    Example of OpenShift Serverless Logic application using OpenAPI callback events with Quarkus

    +
    +
    +
    +

    To understand the OpenAPI Callback, see the serverless-workflow-callback-events-over-http-quarkus example application in GitHub repository.

    +
    +
    +

    This example contains a simple workflow-service that illustrates callback state using OpenAPI callbacks functionality. A callback is a state that invokes an action and wait for an event (event that will be eventually fired by the external service notified by the action). This example consists of a callback state that waits for an event to arrive at the wait channel. Its action calls an external service named callback-event-service that publishes the wait event over HTTP. After consuming the wait event, the workflow prints the message received in the wait event and ends the workflow.

    +
    +
    +

    The serverless-workflow-callback-events-over-http-quarkus application is initiated with the following request to localhost:8080/callback:

    +
    +
    +
    +
    {
    +  "message": "Hello"
    +}
    +
    +
    +
    +

    Once the workflow is started, it makes an external service call with the callback URL and the workflow instance ID in the request body to callback-event-service. Then, as configured in the OpenAPI file, the callback URL is invoked to send a CloudEvent to the workflow.

    +
    +
    +

    Once the wait type CloudEvent is received by the callback-workflow-service, the workflow moves to the next state and ends successfully. The following figure shows the serverless-workflow-callback-events-over-http-quarkus image:

    +
    +
    +
    +openapi callback +
    +
    +
    +

    To use the OpenAPI callback in a workflow, the OpenAPI YAML file is configured with the callback as specified in the OpenAPI file.

    +
    +
    +

    To use the Callback state in a workflow, first CloudEvent type wait is declared that the workflow uses. Following is an example of CloudEvents declaration in a workflow definition:

    +
    +
    +
    Example of CloudEvent declaration in a workflow definition
    +
    +
     "events": [
    +    {
    +      "name": "waitEvent",
    +      "source": "",
    +      "type": "wait"
    +    }
    +
    +
    +
    +

    After that, a Callback state is declared, which waits for a CloudEvent with the wait type. Following is an example of declaring a Callback state that handles the wait type CloudEvent:

    +
    +
    +
    Example of a Callback State declaration handling the wait CloudEvent
    +
    +
     {
    +      "name": "waitForEvent",
    +      "type": "callback",
    +      "action":
    +        {
    +        "functionRef": {
    +          "refName": "callBack",
    +          "arguments": {
    +            "uri": "http://localhost:8080/wait",
    +            "processInstanceId": "$WORKFLOW.instanceId"
    +          }
    +        }
    +      },
    +      "eventRef": "waitEvent",
    +      "transition": "finish"
    +    }
    +
    +
    +
    + + + + + +
    + + +
    +

    Please refer configure openapi service endpoints document to set the URL dynamically using an environment variable.

    +
    +
    +
    +
    +

    An event listener publishes a new wait type CloudEvent. Following is an example of a Java method that publishes the wait type CloudEvent:

    +
    +
    +
    Example of a Java method that makes a call to Callback URL and publishes the wait CloudEvent
    +
    +
        @POST
    +    @Consumes(MediaType.APPLICATION_JSON)
    +    public void wait(EventInput eventInput) throws JsonProcessingException {
    +        logger.info("About to generate event for {}",eventInput);
    +        CloudEventBuilder builder = CloudEventBuilder.v1()
    +                .withId(UUID.randomUUID().toString())
    +                .withSource(URI.create(""))
    +                .withType("wait")
    +                .withTime(OffsetDateTime.now())
    +                .withExtension(CloudEventExtensionConstants.PROCESS_REFERENCE_ID, eventInput.getProcessInstanceId())
    +                .withData(objectMapper.writeValueAsBytes(Collections.singletonMap("message", "New Event")));
    +
    +        webClient.postAbs(eventInput.getUri()).sendJson(builder.build()).toCompletionStage();
    +    }
    +
    +
    +
    +

    The callback-workflow-service consumes the CloudEvent, it contains an attribute named kogitoprocrefid, which holds the instance ID of the workflow.

    +
    +
    +

    The kogitoprocrefid attribute is crucial because when the correlation is not used, then this attribute is the only way for the Callback state to identify that the related CloudEvent needs to be used to resume the workflow. For more information about correlation, see Event correlation in OpenShift Serverless Logic.

    +
    +
    +

    Note that each workflow is identified by a unique instance ID, which is automatically included in any published CloudEvent, as kogitoprocinstanceid CloudEvent extension.

    +
    +
    + +
    +
    +

    HTTP transport configuration

    +
    +
    +

    The serverless-workflow-callback-events-over-http-quarkus example application consumes the Cloudevents using Knative Eventing. For more information about incoming and outgoing CloudEvents oer HTTP, see Consuming and Producing CloudEvents over HTTP.

    +
    +
    +

    The HTTP path where the workflow application will listen for the CloudEvents in the serverless-workflow-callback-events-over-http-quarkus example application, is configured in the application.properties file as shown below:

    +
    +
    +
    +
    mp.messaging.incoming.wait.connector=quarkus-http
    +mp.messaging.incoming.wait.path=/wait
    +
    +
    +
    +
    + +
    +

    Found an issue?

    +
    +
    +

    If you find an issue or any misleading information, please feel free to report it here. +We really appreciate it!

    +
    +
    +
    +
    +
    +
    +
    +
    +

    Adapted from Antora default UI, (c) 2019

    +
    + + + + + + diff --git a/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/data-index/data-index-as-quarkus-dev-service.html b/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/data-index/data-index-as-quarkus-dev-service.html new file mode 100644 index 00000000..69fa7865 --- /dev/null +++ b/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/data-index/data-index-as-quarkus-dev-service.html @@ -0,0 +1,870 @@ + + + + + + Data Index as a Quarkus Development service :: Red Hat OpenShift Serverless previews + + + + + + + + + + + +
    + +
    + +
    +
    +
    +

    Data Index as a Quarkus Development service

    +
    +
    +
    +
    OpenShift Serverless Logic main Quarkus extension
    +
    +
    <dependency>
    +  <groupId>org.kie.kogito</groupId>
    +  <artifactId>kogito-quarkus</artifactId>
    +</dependency>
    +
    +
    +
    +
    OpenShift Serverless Logic Quarkus extension
    +
    +
    <dependency>
    +  <groupId>org.kie.kogito</groupId>
    +  <artifactId>kogito-quarkus-serverless-workflow</artifactId>
    +</dependency>
    +
    +
    +
    +

    When you start your Quarkus project in development mode, an in-memory instance of the Data Index service is automatically started in the background. This feature is enabled by Quarkus Dev Services, and leverages Testcontainers to start an image of the Data Index service.

    +
    +
    +

    The OpenShift Serverless Logic Process Quarkus extension sets up your Quarkus application to automatically replicate any OpenShift Serverless Logic messaging events related to workflow instances or jobs into the provisioned Data Index instance.

    +
    +
    +

    Once the service is up and running, you can query the GraphQL interface directly using localhost:8180/graphql or using the Quarkus Dev UI console localhost:8080/q/dev.

    +
    +
    +

    The Data Index GraphQL endpoint can query for ProcessInstances and Jobs. For more information about operations and attributes to query, see GraphQL endpoint provided by Data Index section.

    +
    +
    +

    You can share the same Data Index instance across multiple OpenShift Serverless Logic services during development. Sharing Data Index instances is enabled by default, therefore, only one Data Index instance is started. This behavior can be adjusted to start multiple instances using the quarkus.kogito.devservices.shared property.

    +
    +
    +

    The Quarkus Dev Service also allows further configuration options including:

    +
    +
    +
      +
    • +

      To disable Data Index Dev Service, use the quarkus.kogito.devservices.enabled=false property.

      +
    • +
    • +

      To change the port where the Data Index Dev Service runs, use the quarkus.kogito.devservices.port=8180 property.

      +
    • +
    • +

      To adjust the provisioned image, use quarkus.kogito.devservices.imageName=registry.redhat.io/openshift-serverless-1-tech-preview/logic-data-index-ephemeral-rhel8 property.

      +
    • +
    • +

      To disable sharing the Data Index instance across multiple Quarkus applications, use quarkus.kogito.devservices.shared=false property.

      +
    • +
    +
    +
    +

    For more information about Quarkus Dev Services, see Dev Services guide.

    +
    +
    + +
    +
    +

    Data Index service configuration properties

    +
    +
    +

    The following table serves as a quick reference for commonly Data Index configuration properties supported.

    +
    + + +++++++ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    Table 1. Common configuration properties
    PropertyDescriptionTypeDefault valueOverride at runtime

    QUARKUS_DATASOURCE_JDBC_URL

    The datasource URL

    string

    Yes

    QUARKUS_DATASOURCE_USERNAME

    The datasource username

    string

    Yes

    QUARKUS_DATASOURCE_PASSWORD

    The datasource password

    string

    Yes

    QUARKUS_DATASOURCE_DB_KIND

    +

    The kind of database to connect: postgresql,..

    +

    string

    Yes

    QUARKUS_FLYWAY_MIGRATE_AT_START

    true to execute Flyway automatically when the application starts, false otherwise.

    boolean

    false

    Yes

    KOGITO_DATA_INDEX_QUARKUS_PROFILE

    +

    (Only when referencing an image distribution)

    +
    +
    +

    Allows to change the event connection type. The possible values are:

    +
    +
    +
      +
    • +

      kafka-events-support

      +
    • +
    • +

      http-events-support

      +
    • +
    +

    string

    kafka-events-support

    Yes

    kogito.persistence.query.timeout.millis

    Defines timeout for a query execution.

    long

    10000

    Yes

    quarkus.kogito.devservices.enabled

    Enables or disables the Dev Services for workflows. By default, the Dev Services are enabled, unless an existing configuration is present.

    boolean

    true

    No

    quarkus.kogito.devservices.port

    Defines the optional fixed port that the Dev Services listen to.

    int

    8180

    No

    quarkus.kogito.devservices.image-name

    Defines the Data Index image to use in Dev Service.

    string

    registry.redhat.io/openshift-serverless-1-tech-preview/logic-data-index-ephemeral-rhel8:main

    No

    quarkus.kogito.devservices.shared

    Indicates if the Data Index instance, which is managed by Quarkus Dev Services, is shared.

    boolean

    true

    No

    quarkus.kogito.devservices.service-name

    Defines the value of the label that is attached to the started container. This property is used when shared is set to true.

    string

    kogito-data-index

    No

    +
    +
    +
    + +
    +

    Found an issue?

    +
    +
    +

    If you find an issue or any misleading information, please feel free to report it here. +We really appreciate it!

    +
    +
    +
    +
    +
    +
    +
    +
    +

    Adapted from Antora default UI, (c) 2019

    +
    + + + + + + diff --git a/docs/latest/serverless-logic/supporting-services/data-index/data-index-quarkus-extension.html b/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/data-index/data-index-quarkus-extension.html similarity index 57% rename from docs/latest/serverless-logic/supporting-services/data-index/data-index-quarkus-extension.html rename to docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/data-index/data-index-quarkus-extension.html index 7fe7462f..4c6951c6 100644 --- a/docs/latest/serverless-logic/supporting-services/data-index/data-index-quarkus-extension.html +++ b/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/data-index/data-index-quarkus-extension.html @@ -4,16 +4,16 @@ Data Index Quarkus extensions :: Red Hat OpenShift Serverless previews - + - - - - - - + + + + + +
    @@ -59,12 +59,12 @@
    @@ -553,9 +652,9 @@

    +
    -Image of data-index as a Quarkus Extension +Image of data-index as a Quarkus Extension
    @@ -672,7 +771,7 @@

    Add
  • Data Index is using the same datasource to store indexed data

    -

    For more information about creating a workflow, see Creating your first workflow. You also can find more details about enabling persistence in Running a workflow using PostgreSQL

    +

    For more information about creating a workflow, see Creating your first workflow. You also can find more details about enabling persistence in Running a workflow using PostgreSQL

  • @@ -756,7 +855,7 @@

    Add

    -

    For more information, see application.properties file of serverless-timeouts_showcase_embedded example application.

    +

    For more information, see application.properties file of serverless-timeouts_showcase_embedded example application.

    @@ -780,7 +879,7 @@

    Data Index is using the same datasource to store indexed data

    -

    For more information about creating a workflow, see Creating your first workflow. You also can find more details about enabling persistence in Running a workflow using PostgreSQL

    +

    For more information about creating a workflow, see Creating your first workflow. You also can find more details about enabling persistence in Running a workflow using PostgreSQL

    @@ -857,7 +956,7 @@

    @@ -867,18 +966,24 @@

    < + + +
    +

    Found an issue?

    +
    -

    Unresolved include directive in modules/serverless-logic/pages/supporting-services/data-index/data-index-quarkus-extension.adoc - include::../../pages/_common-content/report-issue.adoc[]

    +

    If you find an issue or any misleading information, please feel free to report it here. +We really appreciate it!

    @@ -889,9 +994,9 @@

    <

    Adapted from Antora default UI, (c) 2019

    - - - + + + diff --git a/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/data-index/data-index-usecase-multi.html b/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/data-index/data-index-usecase-multi.html new file mode 100644 index 00000000..9e88d1a4 --- /dev/null +++ b/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/data-index/data-index-usecase-multi.html @@ -0,0 +1,1350 @@ + + + + + + Deploying Data Index and multiple OpenShift Serverless Logic applications on Minikube :: Red Hat OpenShift Serverless previews + + + + + + + + + + + + +
    +
    + +
    + +
    +
    +
    +

    Deploying Data Index and multiple OpenShift Serverless Logic applications on Minikube

    +
    +
    +
    +

    This document describes how to deploy a multiple OpenShift Serverless Logic workflow applications and the Data Index service using a local Kubernetes cluster, such as Minikube, using the Serverless Logic Operator.

    +
    +
    +

    For more information about Minikube and related system requirements, see Getting started with Minikube documentation.

    +
    +
    +

    This use case is intended to represent an installation with:

    +
    +
    +
      +
    • +

      A singleton Data Index Service with PostgreSQL persistence

      +
    • +
    • +

      The greeting workflow (no persistence), that is configured to register events to the Data Index Service.

      +
    • +
    • +

      The helloworld workflow (no persistence), that is configured to register events to the Data Index Service.

      +
    • +
    • +

      Both workflows are configured to register the process events on the Data Index Service.

      +
    • +
    +
    +
    +

    You can directly access the UseCase2 example application we are going to follow at OpenShift Serverless Logic Data Index Use Cases with operator.

    +
    +
    +
    Prerequisites
    +
      +
    • +

      Minikube installed with registry addon enabled

      +
    • +
    • +

      kubectl command-line tool is installed. Otherwise, Minikube handles it.

      +
    • +
    • +

      SonataFlow operator installed if workflows are deployed. To install the operator you can see Install the Serverless Logic Operator.

      +
    • +
    +
    +
    + + + + + +
    + + +
    +

    We recommend that you start Minikube with the following parameters, note that the registry addon must be enabled.

    +
    +
    +
    +
    minikube start --cpus 4 --memory 10240 --addons registry --addons metrics-server --insecure-registry "10.0.0.0/24" --insecure-registry "localhost:5000"
    +
    +
    +
    +

    To verify that the registry addon was property added you can execute this command:

    +
    +
    +
    +
    minikube addons list | grep registry
    +
    +
    +
    +
    +
    | registry                    | minikube | enabled ✅   | Google                         |
    +| registry-aliases            | minikube | disabled     | 3rd party (unknown)            |
    +| registry-creds              | minikube | disabled     | 3rd party (UPMC Enterprises)   |
    +
    +
    +
    +
    +
    +

    You can check the Minikube installation by entering the following commands in a command terminal:

    +
    +
    +
    Verify Minikube version
    +
    +
    minikube version
    +
    +
    +
    +
    Verify kubectl CLI version
    +
    +
    kubectl version
    +
    +
    +
    + + + + + +
    + + +
    +

    If kubectl is not installed, then Minikube handles it when you execute the following command:

    +
    +
    +
    kubectl is available using Minikube
    +
    +
    alias kubectl="minikube kubectl --"
    +
    +
    +
    +
    +
    +
    Procedure
    +
      +
    1. +

      After cloning the OpenShift Serverless Logic examples repository. Open a terminal and run the following commands

      +
      +
      +
      +
      +
      cd serverless-operator-examples/serverless-workflow-dataindex-use-cases/
      +
      +
      +
      +
      +
    2. +
    3. +

      Create the namespace:

      +
      +
      +
      +
      +
      kubectl create namespace usecase2
      +
      +
      +
      +
      +
    4. +
    5. +

      Deploy the Data Index Service and postgresql database:

      +
      +
      +
      +

      Here you can find the infrastructure kustomization required to deploy Data Index service and a postgresql database explained in this use case.

      +
      +
      +

      Thas folder contains four files:

      +
      +
      +
        +
      • +

        kustomization.yaml

        +
      • +
      • +

        01-postgres.yaml

        +
      • +
      • +

        02-dataindex.yaml

        +
      • +
      • +

        application.properties

        +
      • +
      +
      +
      +
      kustomization.yaml resources that deploy Data Index deployment with persistence to a postgresql database
      +
      +
      resources:
      +- 01-postgres.yaml (1)
      +- 02-dataindex.yaml (2)
      +
      +secretGenerator:
      +  - name: postgres-secrets
      +    literals:
      +      - POSTGRES_USER=sonataflow
      +      - POSTGRES_PASSWORD=sonataflow
      +      - POSTGRES_DB=sonataflow
      +      - PGDATA=/var/lib/postgresql/data/mydata
      +
      +configMapGenerator:
      +  - name: dataindex-properties
      +    files:
      +      - application.properties
      +
      +
      +
      + + + + + + + + + +
      1Postgres database deployment
      2Data Index deployment
      +
      +
      +
      01_postgres.yaml that deploys Postgresql database
      +
      +
      ---
      +apiVersion: v1
      +kind: PersistentVolumeClaim
      +metadata:
      +  labels:
      +    app.kubernetes.io/name: postgres
      +  name: postgres-pvc
      +spec:
      +  accessModes:
      +    - ReadWriteOnce
      +  resources:
      +    requests:
      +      storage: 1Gi
      +---
      +apiVersion: apps/v1
      +kind: Deployment
      +metadata:
      +  labels:
      +    app.kubernetes.io/name: postgres
      +  name: postgres
      +spec:
      +  replicas: 1
      +  selector:
      +    matchLabels:
      +      app.kubernetes.io/name: postgres
      +  template:
      +    metadata:
      +      labels:
      +        app.kubernetes.io/name: postgres
      +    spec:
      +      containers:
      +        - name: postgres
      +          image: postgres:13.2-alpine
      +          imagePullPolicy: 'IfNotPresent'
      +          ports:
      +            - containerPort: 5432
      +          volumeMounts:
      +            - name: storage
      +              mountPath: /var/lib/postgresql/data
      +          envFrom:
      +            - secretRef:
      +                name: postgres-secrets
      +          readinessProbe:
      +            exec:
      +              command: ["pg_isready"]
      +            initialDelaySeconds: 15
      +            timeoutSeconds: 2
      +          livenessProbe:
      +            exec:
      +              command: ["pg_isready"]
      +            initialDelaySeconds: 15
      +            timeoutSeconds: 2
      +          resources:
      +            limits:
      +              memory: "256Mi"
      +              cpu: "500m"
      +      volumes:
      +      - name: storage
      +        persistentVolumeClaim:
      +          claimName: postgres-pvc
      +---
      +apiVersion: v1
      +kind: Service
      +metadata:
      +  labels:
      +    app.kubernetes.io/name: postgres
      +  name: postgres
      +spec:
      +  selector:
      +    app.kubernetes.io/name: postgres
      +  ports:
      +    - port: 5432
      +
      +
      +
      +
      02-dataindex.yaml that deploys Data Index with persistence to the previous defined postgresql database
      +
      +
      apiVersion: apps/v1
      +kind: Deployment
      +metadata:
      +  labels:
      +    app.kubernetes.io/name: data-index-service-postgresql
      +  name: data-index-service-postgresql
      +spec:
      +  replicas: 1
      +  selector:
      +    matchLabels:
      +      app.kubernetes.io/name: data-index-service-postgresql
      +  template:
      +    metadata:
      +      labels:
      +        app.kubernetes.io/name: data-index-service-postgresql
      +    spec:
      +      containers:
      +        - name: data-index-service-postgresql
      +          image: quay.io/kiegroup/kogito-data-index-postgresql-nightly:main-2024-02-09
      +          imagePullPolicy: Always
      +          resources:
      +            limits:
      +              memory: "256Mi"
      +              cpu: "500m"
      +          ports:
      +            - containerPort: 8080
      +              name: http
      +              protocol: TCP
      +          env:
      +            - name: KOGITO_DATA_INDEX_QUARKUS_PROFILE
      +              value: http-events-support
      +            - name: KUBERNETES_NAMESPACE
      +              valueFrom:
      +                fieldRef:
      +                  fieldPath: metadata.namespace
      +            - name: QUARKUS_DATASOURCE_USERNAME
      +              valueFrom:
      +                secretKeyRef:
      +                  key: POSTGRES_USER
      +                  name: postgres-secrets
      +            - name: QUARKUS_DATASOURCE_PASSWORD
      +              valueFrom:
      +                secretKeyRef:
      +                  key: POSTGRES_PASSWORD
      +                  name: postgres-secrets
      +          volumeMounts:
      +            - name: application-config
      +              mountPath: "/home/kogito/config"
      +          livenessProbe:
      +            failureThreshold: 3
      +            httpGet:
      +              path: /q/health/live
      +              port: 8080
      +              scheme: HTTP
      +            initialDelaySeconds: 0
      +            periodSeconds: 30
      +            successThreshold: 1
      +            timeoutSeconds: 10
      +          readinessProbe:
      +            failureThreshold: 3
      +            httpGet:
      +              path: /q/health/ready
      +              port: 8080
      +              scheme: HTTP
      +            initialDelaySeconds: 0
      +            periodSeconds: 30
      +            successThreshold: 1
      +            timeoutSeconds: 10
      +      volumes:
      +        - name: application-config
      +          configMap:
      +            name: dataindex-properties
      +      initContainers:
      +        - name: init-postgres
      +          image: registry.access.redhat.com/ubi9/ubi-minimal:latest
      +          imagePullPolicy: IfNotPresent
      +          command: ['sh', '-c', 'until (echo 1 > /dev/tcp/postgres.$(cat /var/run/secrets/kubernetes.io/serviceaccount/namespace).svc.cluster.local/5432) >/dev/null 2>&1; do echo "Waiting for postgres server"; sleep 3; done;']
      +---
      +apiVersion: v1
      +kind: Service
      +metadata:
      +  labels:
      +    app.kubernetes.io/name: data-index-service-postgresql
      +  name: data-index-service-postgresql
      +spec:
      +  ports:
      +    - name: http
      +      port: 80
      +      targetPort: 8080
      +  selector:
      +    app.kubernetes.io/name: data-index-service-postgresql
      +  type: NodePort
      +
      +
      +
      +
      application.properties referenced by kustomization.yaml
      +
      +
      quarkus.http.port=8080
      +quarkus.http.cors=true
      +quarkus.http.cors.origins=/.*/
      +
      +quarkus.datasource.jdbc.url=jdbc:postgresql://postgres:5432/sonataflow?currentSchema=data-index-service
      +quarkus.hibernate-orm.database.generation=update
      +quarkus.flyway.migrate-at-start=true
      +
      +# Disable kafka client health check since the quarkus-http connector is being used instead.
      +quarkus.smallrye-health.check."io.quarkus.kafka.client.health.KafkaHealthCheck".enabled=false
      +
      +
      +
      +

      Perform the deployments executing

      +
      +
      +
      +
      kubectl kustomize infra/dataindex | kubectl apply -f - -n usecase2
      +
      +
      +
      +
      +
      configmap/dataindex-properties-hg9ff8bff5 created
      +secret/postgres-secrets-22tkgc2dt7 created
      +service/data-index-service-postgresql created
      +service/postgres created
      +persistentvolumeclaim/postgres-pvc created
      +deployment.apps/data-index-service-postgresql created
      +deployment.apps/postgres created
      +
      +
      +
      +

      Give some time for the data index to start, you can check that it’s running by executing.

      +
      +
      +
      +
      kubectl get pod -n usecase2
      +
      +
      +
      +
      +
      NAME                                             READY   STATUS    RESTARTS       AGE
      +data-index-service-postgresql-5d76dc4468-lb259   1/1     Running   0              2m11s
      +postgres-7f78499688-lc8n6                        1/1     Running   0              2m11s
      +
      +
      +
      +
      +
    6. +
    7. +

      Deploy the workflow:

      +
      +
      +
      +

      Here you can find the use case kustomization required to deploy the workflow

      +
      +
      +
      Use case kustomization.yaml resources that deploys the workflow
      +
      +
      resources:
      +- ../../infra/service_discovery
      +- ../../workflows/sonataflow-greeting
      +- ../../workflows/sonataflow-helloworld
      +
      +
      +
      +

      To see in more detail access to Building and Deploying Workflows with the Operator

      +
      +
      +

      Perform the deployment executing

      +
      +
      +
      +
       kubectl kustomize usecases/usecase2 | kubectl apply -f - -n usecase2
      +
      +
      +
      +
      +
      configmap/greeting-props created
      +configmap/helloworld-props created
      +sonataflow.sonataflow.org/greeting created
      +sonataflow.sonataflow.org/helloworld created
      +
      +
      +
      +

      Give some time for the sonataflow operator to build and deploy the workflow. +To check that the workflow is ready you can use this command.

      +
      +
      +
      +
      kubectl get workflow -n usecase2
      +
      +
      +
      +
      +
      NAME       PROFILE   VERSION   URL   READY   REASON
      +greeting             0.0.1           True
      +helloworld           0.0.1           True
      +
      +
      +
      +
      +
    8. +
    9. +

      Expose the workflows and get the urls:

      +
      +
      +
      +
      +
      kubectl patch svc greeting helloworld -p '{"spec": {"type": "NodePort"}}' -n usecase2
      +
      +
      +
      +
      +
      minikube service greeting --url -n usecase2
      +
      +
      +
      +
      +
      minikube service helloworld --url -n usecase2
      +
      +
      +
      +
      +
    10. +
    11. +

      Create a workflow instance:

      +
      +
      +
      +

      You must use the URLs calculated in step 5.

      +
      +
      +
      +
      curl -X POST -H 'Content-Type:application/json' -H 'Accept:application/json' -d '{"name": "John", "language": "English"}'    http://192.168.49.2:32407/greeting
      +
      +
      +
      +
      +
      curl -X POST -H 'Content-Type:application/json' -H 'Accept:application/json' -d '{}'    http://192.168.49.2:32327/helloworld
      +
      +
      +
      +
      +
    12. +
    13. +

      Clean the use case:

      +
      +
      +
      +
      +
      kubectl delete namespace usecase2
      +
      +
      +
      +
      +
    14. +
    +
    +
    + +
    +
    +

    Querying Data Index service on Minikube

    +
    +
    +

    You can use the public Data Index endpoint to play around with the GraphiQL interface.

    +
    +
    +
    Procedure
    +

    This procedure apply to all use cases with that deploys the Data Index Service.

    +
    +
    +
      +
    • +

      Get the Data Index Url:

      +
    • +
    +
    +
    +
    +
    minikube service data-index-service-postgresql --url -n my_usecase
    +
    +
    +
    +
      +
    • +

      Open the GrahiqlUI

      +
    • +
    +
    +
    +

    Using the url returned, open a browser window in the following url 192.168.49.2:32409/graphiql/,

    +
    +
    + + + + + +
    + + +
    +

    that IP and port will be different in your installation, and don’t forget to add the last slash "/" to the url, otherwise the GraphiqlUI won’t be opened.

    +
    +
    +
    +
    +

    To see the process instances information you can execute this query:

    +
    +
    +
    +
    {
    +  ProcessInstances {
    +    id,
    +    processId,
    +    processName,
    +    variables,
    +    state,
    +    endpoint,
    +    serviceUrl,
    +    start,
    +    end
    +  }
    +}
    +
    +
    +
    +

    The results should be something like:

    +
    +
    +
    +
    {
    +  "data": {
    +    "ProcessInstances": [
    +      {
    +        "id": "3ed8bf63-85c9-425d-9099-49bfb63608cb",
    +        "processId": "greeting",
    +        "processName": "workflow",
    +        "variables": "{\"workflowdata\":{\"name\":\"John\",\"greeting\":\"Hello from JSON Workflow, \",\"language\":\"English\"}}",
    +        "state": "COMPLETED",
    +        "endpoint": "/greeting",
    +        "serviceUrl": "http://greeting",
    +        "start": "2023-09-13T06:59:24.319Z",
    +        "end": "2023-09-13T06:59:24.400Z"
    +      }
    +    ]
    +  }
    +}
    +
    +
    +
    +

    To see the jobs instances information, if any, you can execute this query:

    +
    +
    +
    +
    {
    +  Jobs {
    +    id,
    +    processId,
    +    processInstanceId,
    +    status,
    +    expirationTime,
    +    retries,
    +    endpoint,
    +    callbackEndpoint
    +  }
    +}
    +
    +
    +
    +

    The results should be something like:

    +
    +
    +
    +
    {
    +  "data": {
    +    "Jobs": [
    +      {
    +        "id": "55c7aadb-3dff-4b97-af8e-cc45014b1c0d",
    +        "processId": "callbackstatetimeouts",
    +        "processInstanceId": "299886b7-2b78-4965-a701-16783c4162d8",
    +        "status": "EXECUTED",
    +        "expirationTime": null,
    +        "retries": 0,
    +        "endpoint": "http://jobs-service-postgresql/jobs",
    +        "callbackEndpoint": "http://callbackstatetimeouts:80/management/jobs/callbackstatetimeouts/instances/299886b7-2b78-4965-a701-16783c4162d8/timers/-1"
    +      }
    +    ]
    +  }
    +}
    +
    +
    +
    +
    + +
    +

    Found an issue?

    +
    +
    +

    If you find an issue or any misleading information, please feel free to report it here. +We really appreciate it!

    +
    +
    +
    +
    +
    +
    +
    +
    +

    Adapted from Antora default UI, (c) 2019

    +
    + + + + + + diff --git a/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/data-index/data-index-usecase-singleton.html b/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/data-index/data-index-usecase-singleton.html new file mode 100644 index 00000000..43cd2d45 --- /dev/null +++ b/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/data-index/data-index-usecase-singleton.html @@ -0,0 +1,1092 @@ + + + + + + Deploying Data Index and OpenShift Serverless Logic application on Minikube :: Red Hat OpenShift Serverless previews + + + + + + + + + + + + + +
    + +
    + +
    +
    +
    +

    Deploying Data Index and OpenShift Serverless Logic application on Minikube

    +
    +
    +
    +

    This document describes how to deploy a workflow application and the Data Index service using a local Kubernetes cluster, such as Minikube, using the Serverless Logic Operator.

    +
    +
    +

    For more information about Minikube and related system requirements, see Getting started with Minikube documentation.

    +
    +
    +

    This use case is intended to represent an installation with:

    +
    +
    +
      +
    • +

      A singleton Data Index Service with PostgreSQL persistence

      +
    • +
    • +

      The greeting workflow (no persistence), that is configured to register events to the Data Index Service.

      +
    • +
    +
    +
    +

    You can directly access the UseCase1 example application we are going to follow at OpenShift Serverless Logic Data Index Use Cases with operator.

    +
    +
    +
    Prerequisites
    +
      +
    • +

      Minikube installed with registry addon enabled

      +
    • +
    • +

      kubectl command-line tool is installed. Otherwise, Minikube handles it.

      +
    • +
    • +

      SonataFlow operator installed if workflows are deployed. To install the operator you can see Install the Serverless Logic Operator.

      +
    • +
    +
    +
    + + + + + +
    + + +
    +

    We recommend that you start Minikube with the following parameters, note that the registry addon must be enabled.

    +
    +
    +
    +
    minikube start --cpus 4 --memory 10240 --addons registry --addons metrics-server --insecure-registry "10.0.0.0/24" --insecure-registry "localhost:5000"
    +
    +
    +
    +

    To verify that the registry addon was property added you can execute this command:

    +
    +
    +
    +
    minikube addons list | grep registry
    +
    +
    +
    +
    +
    | registry                    | minikube | enabled ✅   | Google                         |
    +| registry-aliases            | minikube | disabled     | 3rd party (unknown)            |
    +| registry-creds              | minikube | disabled     | 3rd party (UPMC Enterprises)   |
    +
    +
    +
    +
    +
    +

    You can check the Minikube installation by entering the following commands in a command terminal:

    +
    +
    +
    Verify Minikube version
    +
    +
    minikube version
    +
    +
    +
    +
    Verify kubectl CLI version
    +
    +
    kubectl version
    +
    +
    +
    + + + + + +
    + + +
    +

    If kubectl is not installed, then Minikube handles it when you execute the following command:

    +
    +
    +
    kubectl is available using Minikube
    +
    +
    alias kubectl="minikube kubectl --"
    +
    +
    +
    +
    +
    +
    Procedure
    +
      +
    1. +

      After cloning the OpenShift Serverless Logic examples repository. Open a terminal and run the following commands

      +
      +
      +
      +
      +
      cd serverless-operator-examples/serverless-workflow-dataindex-use-cases/
      +
      +
      +
      +
      +
    2. +
    3. +

      Create the namespace:

      +
      +
      +
      +
      +
      kubectl create namespace usecase1
      +
      +
      +
      +
      +
    4. +
    5. +

      Deploy the Data Index Service and postgresql database:

      +
      +
      +
      +

      include:common/_dataindex_deployment_operator.adoc[]

      +
      +
      +

      Perform the deployments executing

      +
      +
      +
      +
      kubectl kustomize infra/dataindex | kubectl apply -f - -n usecase1
      +
      +
      +
      +
      +
      configmap/dataindex-properties-hg9ff8bff5 created
      +secret/postgres-secrets-22tkgc2dt7 created
      +service/data-index-service-postgresql created
      +service/postgres created
      +persistentvolumeclaim/postgres-pvc created
      +deployment.apps/data-index-service-postgresql created
      +deployment.apps/postgres created
      +
      +
      +
      +

      Give some time for the data index to start, you can check that it’s running by executing.

      +
      +
      +
      +
      kubectl get pod -n usecase1
      +
      +
      +
      +
      +
      NAME                                             READY   STATUS    RESTARTS       AGE
      +data-index-service-postgresql-5d76dc4468-lb259   1/1     Running   0              2m11s
      +postgres-7f78499688-lc8n6                        1/1     Running   0              2m11s
      +
      +
      +
      +
      +
    6. +
    7. +

      Deploy the workflow:

      +
      +
      +
      +

      Here you can find the use case kustomization required to deploy the workflow

      +
      +
      +
      Use case kustomization.yaml resources that deploys the workflow
      +
      +
      resources:
      +- ../../infra/service_discovery
      +- ../../workflows/sonataflow-greeting
      +
      +
      +
      +

      To see in more detail how to deploy the workflow access to Building and Deploying Workflows with the Operator

      +
      +
      +

      Perform the deployment executing

      +
      +
      +
      +
       kubectl kustomize usecases/usecase1 | kubectl apply -f - -n usecase1
      +
      +
      +
      +
      +
      configmap/greeting-props created
      +sonataflow.sonataflow.org/greeting created
      +
      +
      +
      +

      To see in more detail how to generate this resources access to Building and Deploying Workflows with the Operator

      +
      +
      +

      Give some time for the sonataflow operator to build and deploy the workflow. +To check that the workflow is ready you can use this command.

      +
      +
      +
      +
      kubectl get workflow -n usecase1
      +
      +
      +
      +
      +
      NAME       PROFILE   VERSION   URL   READY   REASON
      +greeting             0.0.1           True
      +
      +
      +
      +
      +
    8. +
    9. +

      Expose the workflow and get the url:

      +
      +
      +
      +
      +
      kubectl patch svc greeting -p '{"spec": {"type": "NodePort"}}' -n usecase1
      +
      +
      +
      +
      +
      minikube service greeting --url -n usecase1
      +
      +
      +
      +
      +
    10. +
    11. +

      Create a workflow instance:

      +
      +
      +
      +

      You must use the URLs calculated in step 5.

      +
      +
      +
      +
      curl -X POST -H 'Content-Type:application/json' -H 'Accept:application/json' -d '{"name": "John", "language": "English"}'    http://192.168.49.2:32407/greeting
      +
      +
      +
      +
      +
    12. +
    13. +

      Clean the use case:

      +
      +
      +
      +
      +
      kubectl delete namespace usecase1
      +
      +
      +
      +
      +
    14. +
    +
    +
    + +
    +
    +

    Querying Data Index service on Minikube

    +
    +
    +

    You can use the public Data Index endpoint to play around with the GraphiQL interface.

    +
    +
    +
    Procedure
    +

    This procedure apply to all use cases with that deploys the Data Index Service.

    +
    +
    +
      +
    • +

      Get the Data Index Url:

      +
    • +
    +
    +
    +
    +
    minikube service data-index-service-postgresql --url -n my_usecase
    +
    +
    +
    +
      +
    • +

      Open the GrahiqlUI

      +
    • +
    +
    +
    +

    Using the url returned, open a browser window in the following url 192.168.49.2:32409/graphiql/,

    +
    +
    + + + + + +
    + + +
    +

    that IP and port will be different in your installation, and don’t forget to add the last slash "/" to the url, otherwise the GraphiqlUI won’t be opened.

    +
    +
    +
    +
    +

    To see the process instances information you can execute this query:

    +
    +
    +
    +
    {
    +  ProcessInstances {
    +    id,
    +    processId,
    +    processName,
    +    variables,
    +    state,
    +    endpoint,
    +    serviceUrl,
    +    start,
    +    end
    +  }
    +}
    +
    +
    +
    +

    The results should be something like:

    +
    +
    +
    +
    {
    +  "data": {
    +    "ProcessInstances": [
    +      {
    +        "id": "3ed8bf63-85c9-425d-9099-49bfb63608cb",
    +        "processId": "greeting",
    +        "processName": "workflow",
    +        "variables": "{\"workflowdata\":{\"name\":\"John\",\"greeting\":\"Hello from JSON Workflow, \",\"language\":\"English\"}}",
    +        "state": "COMPLETED",
    +        "endpoint": "/greeting",
    +        "serviceUrl": "http://greeting",
    +        "start": "2023-09-13T06:59:24.319Z",
    +        "end": "2023-09-13T06:59:24.400Z"
    +      }
    +    ]
    +  }
    +}
    +
    +
    +
    +

    To see the jobs instances information, if any, you can execute this query:

    +
    +
    +
    +
    {
    +  Jobs {
    +    id,
    +    processId,
    +    processInstanceId,
    +    status,
    +    expirationTime,
    +    retries,
    +    endpoint,
    +    callbackEndpoint
    +  }
    +}
    +
    +
    +
    +

    The results should be something like:

    +
    +
    +
    +
    {
    +  "data": {
    +    "Jobs": [
    +      {
    +        "id": "55c7aadb-3dff-4b97-af8e-cc45014b1c0d",
    +        "processId": "callbackstatetimeouts",
    +        "processInstanceId": "299886b7-2b78-4965-a701-16783c4162d8",
    +        "status": "EXECUTED",
    +        "expirationTime": null,
    +        "retries": 0,
    +        "endpoint": "http://jobs-service-postgresql/jobs",
    +        "callbackEndpoint": "http://callbackstatetimeouts:80/management/jobs/callbackstatetimeouts/instances/299886b7-2b78-4965-a701-16783c4162d8/timers/-1"
    +      }
    +    ]
    +  }
    +}
    +
    +
    +
    +
    + +
    +

    Found an issue?

    +
    +
    +

    If you find an issue or any misleading information, please feel free to report it here. +We really appreciate it!

    +
    +
    +
    +
    +
    +
    +
    +
    +

    Adapted from Antora default UI, (c) 2019

    +
    + + + + + + diff --git a/docs/latest/serverless-logic/cloud/quarkus/deploying-on-kubernetes.html b/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/deployments/deploying-on-kubernetes.html similarity index 64% rename from docs/latest/serverless-logic/cloud/quarkus/deploying-on-kubernetes.html rename to docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/deployments/deploying-on-kubernetes.html index aaa932db..e293bf99 100644 --- a/docs/latest/serverless-logic/cloud/quarkus/deploying-on-kubernetes.html +++ b/docs/latest/serverless-logic/use-cases/advanced-developer-use-cases/deployments/deploying-on-kubernetes.html @@ -3,17 +3,17 @@ - Deploying your Serverless Workflow application on Kubernetes :: Red Hat OpenShift Serverless previews - + Deploying your OpenShift Serverless Logic application on Kubernetes :: Red Hat OpenShift Serverless previews + - - - - - - + + + + + +

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