> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getcollate.io/llms.txt
> Use this file to discover all available pages before exploring further.

# OpenSearch Connector

> Connect Collate to OpenSearch with our comprehensive connector guide. Setup instructions, configuration options, and troubleshooting tips included.

export const ConnectorDetailsHeader = ({name, icon, stage, availableFeatures, unavailableFeatures = [], availableFeaturesCollate = []}) => {
  const showSubHeading = availableFeatures?.length > 0 || unavailableFeatures?.length > 0 || availableFeaturesCollate?.length > 0;
  const totalAvailableFeatures = [...availableFeatures || [], ...availableFeaturesCollate || []];
  return <div className="container">
      <div className="Heading">
        <div className="flex items-center gap-3">
          {icon && <div className="IconContainer">
              <img src={icon} alt={name} noZoom className="ConnectorIcon" />
            </div>}
          <h1 className="ConnectorName">{name}</h1>
          <span className={`StageBadge ${stage === 'PROD' ? 'prod' : 'beta'}`}>
            {stage}
          </span>
        </div>
      </div>
      {showSubHeading && <div className="SubHeading">
          <div className="FeaturesHeading">Feature List</div>
          <div className="FeaturesList">
            {totalAvailableFeatures.map(feature => <div className="FeatureTag AvailableFeature" key={feature}>
                ✓ {feature}
              </div>)}
            {unavailableFeatures.map(feature => <div className="FeatureTag UnavailableFeature" key={feature}>
                ✕ {feature}
              </div>)}
          </div>
        </div>}
    </div>;
};

<ConnectorDetailsHeader icon="/public/images/connectors/opensearch.webp" name="OpenSearch" stage="PROD" availableFeatures={["Search Indexes", "Sample Data"]} unavailableFeatures={[]} />

This section provides guides and references to use the OpenSearch connector.
Configure and schedule OpenSearch metadata workflow from the Collate UI:

* [Requirements](#requirements)
* [Metadata Ingestion](#metadata-ingestion)
* [Troubleshooting](/ai-2-0/connectors/search/opensearch/troubleshooting)

## Requirements

Collate extracts OpenSearch's metadata by using its [API](https://opensearch.org/docs/latest/api-reference/). To run this ingestion, you just need a user with permissions to the OpenSearch instance.

## Metadata Ingestion

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

### Step 1: Add New Service

1. In the left navigation, click **Connections**.
2. On the **Connections** page, click **Add New Service**.

<img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/add-new-service.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=733cef1141ef13d318634aa9f407eb2b" alt="Add New Service" width="2992" height="1256" data-path="public/images/ai-2.0/connectors/metadata-ingestion/add-new-service.png" />

### Step 2: Select a Service and Connector

From the service type dropdown, select **Search Services**, then click the **OpenSearch** connector tile.

<img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/Search/select-service/opensearch.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=5df4c60f80583ab37dd8f03149cfed44" alt="Select Service" width="2378" height="876" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Search/select-service/opensearch.png" />

### Step 3: Add Service Name and Description

* Enter a unique, descriptive **Service Name**. Collate identifies services by their service name. Enter a name that distinguishes this deployment from other OpenSearch services you are ingesting metadata from.
* Optional: Enter a **Description** for the service.

<img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/Search/service-name/opensearch.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=355ecef1a80a472581c7ffe16e147c55" alt="Add New Service Name" width="1458" height="804" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Search/service-name/opensearch.png" />

<Note>
  **Note**: The service name cannot be changed after it is set.
</Note>

### Step 4: Configure Connection Options

Specify where ingestion runs, provide your source credentials, and verify the connection.

#### Select Ingestion Runner

Select an **Ingestion Runner**: the runner where the ingestion pipeline will execute.

<img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/select-ingestion-runner.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=1249f828648614445e8a976ea1933487" alt="Add Name and Select Ingestion Runner" width="1444" height="506" data-path="public/images/ai-2.0/connectors/metadata-ingestion/select-ingestion-runner.png" />

#### Enter Connection Details

Enter the connection details for OpenSearch. The right-hand panel in the UI displays inline help for each field.

<img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/Search/connection-details/opensearch.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=254e36d966dbc0702abed67d90017ff9" alt="Configure Service Connection" width="1440" height="1394" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Search/connection-details/opensearch.png" />

* **Host and Port**: This parameter specifies the host and port of the OpenSearch 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`.
* **Authentication Types**:
  1. Basic Authentication
  * Username: Username to connect to OpenSearch required when Basic Authentication is enabled on OpenSearch.
  * Password: Password of the user account to connect with OpenSearch.
  2. IAM based Authentication
  * **AWS Access Key ID and AWS Secret Access Key**: When you interact with AWS, you specify your AWS security credentials to verify who you are and whether you have
    permission to access the resources that you are requesting. AWS uses the security credentials to authenticate and
    authorize your requests ([docs](https://docs.aws.amazon.com/IAM/latest/UserGuide/security-creds.html)).
    Access keys consist of two parts: An **access key ID** (for example, `AKIAIOSFODNN7EXAMPLE`), and a **secret access key** (for example, `wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY`).
    You must use both the access key ID and secret access key together to authenticate your requests.
    You can find further information on [how to manage your access keys](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html).
  * **AWS Region**: Each AWS Region is a separate geographic area in which AWS clusters data centers ([docs](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.RegionsAndAvailabilityZones.html)).
    As AWS can have instances in multiple regions, Collate needs to know the region the service you want to reach belongs to.
    Note that the AWS Region is the only required parameter when configuring a connection. When connecting to the
    services programmatically, there are different ways in which we can extract and use the rest of AWS configurations.
    You can find further information about [configuring your credentials](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html#configuring-credentials).
  * **AWS Session Token (optional)**: If you are using temporary credentials to access your services, you will need to inform the AWS Access Key ID
    and AWS Secrets Access Key. Also, these will include an AWS Session Token.
    You can find more information on [Using temporary credentials with AWS resources](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp_use-resources.html).
  * **Endpoint URL (optional)**: To connect programmatically to an AWS service, you use an endpoint. An *endpoint* is the URL of the
    entry point for an AWS web service. The AWS SDKs and the AWS Command Line Interface (AWS CLI) automatically uses the
    default endpoint for each service in an AWS Region. But you can specify an alternate endpoint for your API requests.
    Find more information on [AWS service endpoints](https://docs.aws.amazon.com/general/latest/gr/rande.html).
  * **Profile Name**: A named profile is a collection of settings and credentials that you can apply to an AWS CLI command.
    When you specify a profile to run a command, the settings and credentials are used to run that command.
    Multiple named profiles can be stored in the config and credentials files.
    You can inform this field if you'd like to use a profile other than `default`.
    Find more information about [Named profiles for the AWS CLI](https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-profiles.html).
  * **Assume Role Arn**: Typically, you use `AssumeRole` within your account or for cross-account access. In this field you'll set the
    `ARN` (Amazon Resource Name) of the policy of the other account.
    A user who wants to access a role in a different account must also have permissions that are delegated from the account
    administrator. The administrator must attach a policy that allows the user to call `AssumeRole` for the `ARN` of the role in the other account.
    This is a required field if you'd like to `AssumeRole`.
    Find more information on [AssumeRole](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html).
  * **Assume Role Session Name**: An identifier for the assumed role session. Use the role session name to uniquely identify a session when the same role
    is assumed by different principals or for different reasons.
    By default, we'll use the name `OpenMetadataSession`.
    Find more information about the [Role Session Name](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html#:~:text=An%20identifier%20for%20the%20assumed%20role%20session.).
  * **Assume Role Source Identity**: The source identity specified by the principal that is calling the `AssumeRole` operation. You can use source identity
    information in AWS CloudTrail logs to determine who took actions with a role.
    Find more information about [Source Identity](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html#:~:text=Required%3A%20No-,SourceIdentity,-The%20source%20identity).
* **Verify SSL**:
  Client SSL verification. Make sure to configure the SSLConfig if enabled.
  Possible values:
  * `validate`: Validate the certificate using the public certificate (recommended).
  * `ignore`: Ignore the certification validation (not recommended for production).
  * `no-ssl`: SSL validation is not needed.
* **SSL Certificates**:

  1. SSL Certificates By Path

  * CA Certificate Path: This field specifies the path of CA certificate required for authentication.

  * Client Certificate Path: This field specifies the path of Client certificate required for authentication.

  * Private Key Path: This field specifies the path of Client Key/Private Key required for authentication.

  2. SSL Certificates By Value

  * CA Certificate Value: This field specifies the value of CA certificate required for authentication.
  * Client Certificate Value: This field specifies the value of Client certificate required for authentication.
  * Private Key Value: This field specifies the value of Client Key/Private Key required for authentication.
  * Staging Directory Path: This field specifies the path to temporary staging directory, where the certificates will be stored temporarily during the ingestion process, which will be deleted once the ingestion job is over.
  * When using this approach, make sure you are passing the key in a correct format. If your certificate looks like this:
    ```
    -----BEGIN CERTIFICATE-----
    MII..
    MBQ...
    CgU..
    8Lt..
    ...
    h+4=
    -----END CERTIFICATE-----
    ```
    You will have to replace new lines with `\n` and the final value that you need to pass should look like this:
    ```
    -----BEGIN CERTIFICATE-----\nMII..\nMBQ...\nCgU..\n8Lt..\n...\nh+4=\n-----END CERTIFICATE-----\n
    ```
* **Connection Timeout in Seconds**: Connection timeout configuration for communicating with OpenSearch APIs.

#### Test Connection

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

<img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/test-connection.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=3365cff7bb9d82c85a2ff9ab559d6f11" alt="Test Connection" width="1446" height="188" data-path="public/images/ai-2.0/connectors/metadata-ingestion/test-connection.png" />

### Step 5: Configure Ingestion Options

In the **What to Ingest** step, use filter patterns to control which assets Collate 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. Collate 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. Collate 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.

<Tip>
  **Tip**: Leave the filter pattern empty to ingest all search indexes available in the source.
</Tip>

**Filter Options**

The Search Index section includes the following filter options:

* **Search Index**: Controls which search indexes (Elasticsearch indexes, OpenSearch indexes, or equivalent) Collate 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.

<Tip>
  **Tip**: If [AutoPilot](/ai-2-0/admin-guide/applications/autopilot) is enabled, usage tracking, data lineage, and other downstream workflows start automatically after the first metadata ingestion completes.
</Tip>

### Step 6: Create & Deploy

Click **Create & Deploy** to deploy the agent and start the first metadata ingestion run. Collate 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 **Connections** in the left navigation 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 Collate catalog in sync. It powers discovery, lineage, and governance across your data assets.

When you click **Create & Deploy**, Collate 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. In the left navigation, click **Connections** and select your service.

2. Click the **Agents** tab.

3. Click **Add Agent** and select **Metadata** from the dropdown.
   <img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/add-metadata-agent.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=accad7d1c4ddf209781bff851d51d464" alt="Add Metadata Agent" width="2398" height="1144" data-path="public/images/ai-2.0/connectors/metadata-ingestion/add-metadata-agent.png" />
   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.

     <img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/metadata-agent-name.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=d5ec1f0f3742cadab8cd54c602c97239" alt="Name this Ingestion" width="1578" height="644" data-path="public/images/ai-2.0/connectors/metadata-ingestion/metadata-agent-name.png" />

   * **Agent Setup**: Configure the core parameters for this agent. The following fields are available:

     | Field                       | Default | Description                                                                                                                     |
     | --------------------------- | ------- | ------------------------------------------------------------------------------------------------------------------------------- |
     | Sample Size                 | 10      | Number of records to fetch as sample data per search index.                                                                     |
     | Mark Deleted Search Indexes | On      | Soft-delete search indexes in Collate when they are removed from the source. Associated entities like lineage are also deleted. |
     | Include Sample Data         | On      | Fetch sample records from search indexes during ingestion.                                                                      |
     | Include Index Template      | Off     | Ingest index template metadata alongside search index mappings.                                                                 |

     <img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/Search/search-agent-setup.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=6667c6625744c92ed0cdc4845d157cd5" alt="Agent Setup" width="1564" height="894" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Search/search-agent-setup.png" />

   * **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**.

     <img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/Search/search-filter-pattern.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=fa2c489f7a2561ff4a731c9433b65236" alt="Filter Patterns" width="1560" height="378" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Search/search-filter-pattern.png" />

   * **Scope & Behaviour**: Control what metadata to include and how to handle deletions. Toggle each option on or off based on your needs:

     | Toggle            | Default | Description                                                                                                                                                            |
     | ----------------- | ------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
     | Enable Debug Log  | Off     | Sets the ingestion log level to DEBUG. Useful for troubleshooting.                                                                                                     |
     | Override Metadata | Off     | When on, source values overwrite existing descriptions, tags, owners, and display names in Collate. When off, Collate only updates fields that have no existing value. |

     <img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/Search/search-scope-behaviour.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=9871f3edeb7caef87150639d756aff53" alt="Scope & Behaviour" width="1562" height="578" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Search/search-scope-behaviour.png" />

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.

   <img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/schedule.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=25cc1d78f6f2a8bd115830d034d1d8d1" alt="Schedule Interval" width="1588" height="1044" data-path="public/images/ai-2.0/connectors/metadata-ingestion/schedule.png" />

6. Click **Add** to deploy the agent.

## Troubleshooting

<Columns cols={2}>
  <Card title="OpenSearch Troubleshooting" href="/ai-2-0/connectors/search/opensearch/troubleshooting">
    Learn more about how to troubleshoot common OpenSearch connector issues and resolve configuration or ingestion errors.
  </Card>
</Columns>
