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fix(docs): Add documentation on how to connect to custom ES instance. (#3581)
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@ -284,6 +284,15 @@ a different way of creating time based indices.
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Run `helm upgrade --install datahub datahub/datahub --values values.yaml` to apply the changes.
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**Note:**
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If you have a custom setup of elastic search cluster and are deploying through docker, you can modify the configurations in datahub to point to the specific ES instance -
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1. If you are using `docker quickstart` you can modify the hostname and port of the ES instance in docker compose quickstart files located [here](../../docker/quickstart/).
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1. Once you have modified the quickstart recipes you can run the quickstart command using a specific docker compose file. Sample command for that is - `datahub docker quickstart --quickstart-compose-file docker/quickstart/docker-compose-without-neo4j.quickstart.yml`
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2. If you are not using quickstart recipes, you can modify environment variable in GMS to point to the ES instance. The env files for datahub-gms are located [here](../../docker/datahub-gms/env/).
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Further, you can find a list of properties supported to work with a custom ES instance [here](../../metadata-service/factories/src/main/java/com/linkedin/gms/factory/common/ElasticsearchSSLContextFactory.java) and [here](../../metadata-service/factories/src/main/java/com/linkedin/gms/factory/common/RestHighLevelClientFactory.java).
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A mapping between the property name used in the above two files and the name used in docker/env file can be found [here](../../metadata-service/factories/src/main/resources/application.yml).
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### Managed Streaming for Apache Kafka (MSK)
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Provision an MSK cluster that shares the VPC with the kubernetes cluster or has VPC peering set up between the VPC of
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