Release 0.8.2

[0.8.2] - 2023-08-29

• Fixed incompatibility with airflow's dumb-init entrypoint

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Release 0.8.1

[0.8.1] - 2023-03-17

• Submit_operator supports node and pipeline parameters
• Pass node and pipeline parameters to submit_operator in airflow_dag_template.j2 jinja template
• Extra option to skip grouping Spark nodes

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Release 0.8.0

[0.8.0] - 2022-03-23

• Support spark projects on K8S
• FIX: handle KEDRO_ENV environment variable
• FIX: Removed hardcoded project path from spark job

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Release 0.7.3

[0.7.3] - 2021-11-16

• Take DAG status from the final task
• Fix finding pyspark DataFrames
• MLFLOW_RUN_ID passed as environment variable to dataproc oriented pipelines

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Release 0.7.2

[0.7.2] - 2021-10-25

• Support annotations with quotes
• For pyspark projects, allows to configure post script for dataproc initialization
• FIX: Broken support for kedro<0.17

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Release 0.7.1

[0.7.1] - 2021-10-21

• Support for failure notifications via slack
• FIX: Missing jinja template for dataproc init script

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Release 0.7.0

[0.7.0] - 2021-10-19

• Schedule supports dag-name parameter
• Support for kedro with pyspark, using Google Dataproc
• Support for custom pod templates
• FIX: adding missing dependency package: tabulate
• FIX: Fix default config template
• Support populating k8s node env_vars from Airflow variables
• Generalize auth handler
• Added VarsAuthHandler for MLflow authentication which gets credentials from Airflow variables
• Changed logging level for pod creation request to debug

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Release 0.6.7

[0.6.7] - 2021-09-01

• Support for generation of authentication header for secured MLflow API endpoint (via GOOGLE_APPLICATION_CREDENTIALS)

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Release 0.6.6

[0.6.6] - 2021-08-16

• Support for passing Authorization header for secured Airflow API endpoint (via env variable: AIRFLOW_API_TOKEN)
• Logging dag_id and execution_date in mlflow run params

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Release 0.6.5

[0.6.5] - 2021-08-05

• FIX: Adjust service account setup for image based tasks

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