OpenMetadata/docs/install/metadata-ingestion/connectors/database-services/elastic-search.md

description
This guide will help install ElasticSearch connector and run manually to index the metadata stored in OpenMetadata.

ElasticSearch

{% hint style="info" %} Prerequisites

OpenMetadata is built using Java, DropWizard, Jetty, and MySQL.

1. Python 3.7 or above {% endhint %}

Install from PyPI

{% tabs %} {% tab title="Install Using PyPI" %}

pip install 'openmetadata-ingestion[elasticsearch]'

{% endtab %} {% endtabs %}

Run Manually

metadata ingest -c ./examples/workflows/metadata_to_es.json

Configuration

{% code title="metadata_to_es.json" %}

{
  "source": {
    "type": "metadata_es",
    "config": {}
  },
...

{% endcode %}

Publish to OpenMetadata

Below is the configuration to publish Elastic Search data into the OpenMetadata service.

Add Optionally file stage and elasticsearch bulk_sink along with metadata-server config

{% code title="metadata_to_es.json" %}

{
  "source": {
    "type": "metadata_es",
    "config": {}
  },
  "stage": {
    "type": "file",
    "config": {
      "filename": "/tmp/tables.txt"
    }
  },
  "bulk_sink": {
    "type": "elasticsearch",
    "config": {
      "filename": "/tmp/tables.txt",
      "es_host_port": "localhost",
      "index_name": "table_search_index"
    }
  },
  "metadata_server": {
    "type": "metadata-server",
    "config": {
      "api_endpoint": "http://localhost:8585/api",
      "auth_provider_type": "no-auth"
    }
  }
}

{% endcode %}