Provider to fetch data in elastic/opensearch datastores through the SQL API. This provider leverages the SQL API exclusively, and as such, it is limited by the capabilities of that API.
In order to gain the greatest efficiency from this provider, each document/record in your dataset should have a unique-indentifier that is a property of the document/record. This is important, because even though Elastic will create its own _id field as part of a document's metadata, metadata fields are not accessible via the SQL API.
If your data has a geometry and you want leverage Elastic's geo-filter capability (and you should), the geometry field needs to be mapped in your Elasticsearch Index as a geopoint or geoshape.
A key aspect of working with Elastic is that its API will only return a maximum of 10000 records in any request. If your dataset has more than 10000 records and you request doesn't result in a set that is less than 10000 records, the results will be truncated. This limits the ability to paginate. To reduce the risk of truncation you should always use a unique-identifier property, a mapped geometry field, and registered the provider with the index mappings for these fields (more on this below).
Register the provider with Koop:
const Koop = require('@koopjs/koop-core');
const koop = new Koop({ logLevel: 'info'});
const elasticSqlProvider = require('@koopjs/provider-elastic-sql');
koop.register(elasticSqlProvider, { conn, idFieldMap, geometryFieldMap });An object that contains connection details for the target Elastic cluster. See the Elastic documentation for details.
An key/value populated object that serves as a lookup/dictionary for the unique-identifier field of a given Elastic index. For example, if your index is named "my-index", and the documents in the that index have a field called "some-id-prop" that can be used as a unique-identifier, then the idFieldMap would look like:
const idFieldMap = {
'my-index': 'some-id-prop'
};The idFieldMap can have multiple key/value pairs if your Elastic cluster has multiple indicies.
If you omit the idFieldMap, filtering requested with the GeoService objectsIds parameter will not be executed by the Elastic SQL API.
An key/value populated object that serves as a lookup/dictionary for the geopoint/geoshape field of a given Elastic index. For example, if your index is named "my-index", and the geometry of a document is stored in a geoshape field called "the-geo-prop", then the geometryFieldMap would look like:
const idFieldMap = {
'my-index': 'the-geo-prop'
};While elastic has no limit on the number of geo-fields per document, conversion of a document to GeoJSON requires that we identify a single field as the definitive geometry. The geometryFieldMap can have multiple key/value pairs if your Elastic cluster has multiple indicies.
If you omit the geometryFieldMap, the GeoJSON produced by the provider will not include a geometry. In addition, geometry filtering will not be executed by the Elastic instance.
Once registered with Koop, the provide will expose routes with an id parameter. For example:
/elastic-sql/rest/services/:id/FeatureServerThe id parameter should be filled with the name of the Elastic index you are targeting. So if you wished to query the fires document-index on you Elastic instance, you would make a request to:
/elastic-sql/rest/services/fires/FeatureServer/0/queryThe repository includes a demonstration project. To run the demo you will need Docker installed on your computer. Once installed you can following the steps below to create a local Elastic instance and load it with sample data:
> npm install
> cd demo
# use Docker to run Elastic/Kibana
> docker-compose up -d
# load sample data; this will create an Elastc index named "fires"
> node loader.js
# start the Koop application
> node demo.js