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In this section, we provide guides and references to use the Elasticsearch connector. Configure and schedule Elasticsearch metadata workflow from the OpenMetadata UI:

Requirements

OpenMetadata supports Elasticsearch 7.0 and above and extracts Elasticsearch’s metadata by using its API. To run this ingestion, you need a user with read permissions to all the assets (indexes, indices, data streams) that you want to access in OpenMetadata. Required Permissions:
  • Read access to all Elasticsearch resources you want to ingest
  • The built-in viewer role in Elasticsearch should be sufficient for this purpose

Metadata Ingestion

To ingest metadata from ElasticSearch, you need to create a service connection. The service connects ElasticSearch with OpenMetadata. Once you create a service, OpenMetadata automatically starts ingesting metadata.

Step 1: Add New Service

  1. Navigate to Settings > Services. Navigate to Settings and Services
  2. Click Add New Service. Add New Service

Step 2: Select a Service and Connector

From the service type dropdown, select Search Services, then click the ElasticSearch connector tile. Select Service

Step 3: Add Service Name and Description

  • Enter a unique, descriptive Service Name. OpenMetadata identifies services by their service name. Enter a name that distinguishes this deployment from other ElasticSearch services you are ingesting metadata from.
  • Optional: Enter a Description for the service.
Add New Service Name
Note: The service name cannot be changed after it is set.

Step 4: Configure Connection Options

Specify your source credentials and verify the connection.

Enter Connection Details

Enter the connection details for ElasticSearch. The right-hand panel in the UI displays inline help for each field. Configure Service Connection Connection
  • Host and Port: This parameter specifies the host and port of the Elasticsearch instance. This should be specified as a URI string in the format http://hostname:port or https://hostname:port. For example, you might set it to https://localhost:9200.
  • Connection Timeout in Seconds: Connection timeout configuration for communicating with Elasticsearch APIs.
Authentication
  • Basic Authentication:
    • Username: Username to connect to Elasticsearch required when Basic Authentication is enabled on Elasticsearch.
    • Password: Password of the user account to connect with Elasticsearch.
  • API Key Authentication:
    • API Key: API Key to connect to Elasticsearch required when API Key Authentication is enabled on Elasticsearch.
    • API Key Id: Enter API Key ID in case of API Key Authentication if there is any API Key ID associated with the API Key, otherwise this field can be left blank.
Advanced Config (SSL options; most connections don’t need these)
  • SSL Certificates By Path:
    • CA Certificate Path: This field specifies the path of the CA certificate required for authentication.
    • Client Certificate Path: This field specifies the path of the client certificate required for authentication.
    • Private Key Path: This field specifies the path of the client key/private key required for authentication.
  • SSL Certificates By Value:
    • CA Certificate Value: This field specifies the value of the CA certificate required for authentication.
    • Client Certificate Value: This field specifies the value of the client certificate required for authentication.
    • Private Key Value: This field specifies the value of the client key/private key required for authentication.
    • Staging Directory Path: This field specifies the path to a temporary staging directory where the certificates are stored during the ingestion process. The directory is cleared once the ingestion job completes.
    When using the “By Value” approach, make sure you pass the key in the correct format. If your certificate looks like this:
    Replace new lines with \n so the final value looks like this:

Test Connection

Once the credentials have been added, click on Test Connection and Save the changes. Test Connection

Step 5: Configure Ingestion Options

In the What to Ingest step, use filter patterns to control which assets OpenMetadata ingests from your search service. Filter patterns use regular expressions applied to index names.

How Filter Patterns Work

  • Include: Add one or more comma-separated regular expressions. OpenMetadata ingests only assets whose names match at least one expression. Leave blank to include all assets.
  • Exclude: Add one or more comma-separated regular expressions. OpenMetadata skips any asset whose name matches an expression. Leave blank to exclude nothing.
Rules match asset names using one of five expressions:
  • contains: matches any name containing the value. For example, sales matches my_sales_data and sales_2024.
  • starts with: matches names beginning with the value. For example, prod_ matches prod_db and prod_schema.
  • ends with: matches names ending with the value. For example, _raw matches events_raw and logs_raw.
  • is exactly: matches the exact name only. For example, analytics matches only analytics.
  • matches regex: matches names using a regular expression. For example, ^prod_.*_v\d+$ matches prod_events_v1.
When both Include and Exclude are set, Exclude takes priority.
Leave the filter pattern empty to ingest all search indexes available in the source.
Filter Options The Search Index section includes the following filter options:
  • Search Index: Controls which search indexes (Elasticsearch indexes, OpenSearch indexes, or equivalent) OpenMetadata ingests from the source.
Each section provides the following controls:
  • Scan Mode: You can choose between the following scan modes:
    • Scan all: Ingests every asset of that type the connector can access. This is the default.
    • Only specific: Enables include rules so only assets matching at least one rule are ingested.
  • Exclude system toggle: Use this toggle to automatically filter out system-reserved names defined by the connector, for example, Exclude system databases for the Databases section.
  • Always exclude: Add permanent exclusion rules (shown in red). Assets matching these rules are never ingested, regardless of include rules.
  • Preview: Shows a real-time summary of what will be in scope based on your current rules.
  • Include rules (available only in Only specific mode): Click + Add to define a rule. Added rules appear as chips; an asset is included if it matches any rule.

Step 6: Create & Deploy

Click Create & Deploy to deploy the agent and start the first metadata ingestion run. OpenMetadata saves the service configuration and immediately begins pulling metadata from the source. To monitor ingestion progress or view the service you just added, go to Settings > Services and select your service.

Configure Metadata Agent and Schedule Ingestion

The Metadata Agent extracts search indexes, mappings, and other structural metadata from your source and keeps your OpenMetadata catalog in sync. It powers discovery, lineage, and governance across your data assets. When you click Create & Deploy, OpenMetadata automatically deploys a Metadata Agent for this service and triggers the first ingestion run. View its status and run history from the Agents tab on the service detail page. To configure the additional Metadata Agent and schedule ingestion, follow these steps:
  1. Navigate to Settings > Services and select the service type. Navigate to Settings and Services
  2. Click the service you have added.
  3. Select the Agents tab and click Add Agent > Metadata. Add Metadata Agent For some services, the dropdown is not available and clicking Add Agent takes you directly to the agent configuration page.
  4. On the Configure Ingestion page, do the following and click Next.
    • Name this Ingestion: Enter a unique recognizable name for this ingestion pipeline. Name this Ingestion
    • Agent Setup: Configure the core parameters for this agent. The following fields are available: Agent Setup
    • Filter Patterns: Apply include or exclude rules to scope which search indexes this agent ingests. These follow the same filter options described in Step 5: Configure Ingestion Options. Filter Patterns
    • Scope & Behaviour: Control what metadata to include and how to handle deletions. Toggle each option on or off based on your needs: Scope & Behaviour
  5. On the Schedule Interval page, set when the agent runs:
    • Schedule: Choose a preset interval (Hourly, Daily, Weekly, Monthly) or enter a custom cron expression.
    • On-Demand: No automatic schedule; trigger the agent manually when needed.
    Schedule Interval
  6. Click Add to deploy the agent.

Usage Workflow

Learn more about how to configure the Usage Workflow to ingest Query information from the UI.

Lineage Workflow

Learn more about how to configure the Lineage from the UI.

Profiler Workflow

Learn more about how to configure the Data Profiler from the UI.

Data Quality Workflow

Learn more about how to configure the Data Quality tests from the UI.

dbt Integration

Learn more about how to ingest dbt models’ definitions and their lineage.