> ## 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.

# Athena Hybrid Runner

> Connect Amazon Athena to Collate effortlessly. Complete setup guide, configuration steps, and best practices for database metadata ingestion.

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/athena.webp"
  name="Athena"
  stage="PROD"
  availableFeatures={[
"Metadata",
"Query Usage",
"Lineage",
"Column-level Lineage",
"Data Profiler",
"Data Quality",
"dbt"
]}
  unavailableFeatures={[
"Owners",
"Stored Procedures"
]}
/>

This section provides guides and references to use the Athena connector.
Configure and schedule Athena metadata and profiler workflows from the Collate UI:

* [Requirements](#requirements)
* [Metadata Ingestion](#metadata-ingestion)
* [Data Lineage](/ai-2-0/how-to-guides/data-lineage/workflow)
* [Troubleshooting](/ai-2-0/connectors/database/athena/troubleshooting)
* [Reverse Metadata](#reverse-metadata)

## Requirements

The Athena connector ingests metadata through JDBC connections.

<Tip color="#CD3C4D">
  According to AWS's official [documentation](https://docs.aws.amazon.com/athena/latest/ug/policy-actions.html):
  *If you are using the JDBC or ODBC driver, ensure that the IAM
  permissions policy includes all of the actions listed in [AWS managed policy: AWSQuicksightAthenaAccess](https://docs.aws.amazon.com/athena/latest/ug/managed-policies.html#awsquicksightathenaaccess-managed-policy).*
</Tip>

This policy groups the following permissions:

* `athena` – Allows the principal to run queries on Athena resources.
* `glue` – Allows principals access to AWS Glue databases, tables, and partitions. This is required so that the principal can use the AWS Glue Data Catalog with Athena. Resources of each table and database needs to be added as resource for each database user wants to ingest.
* `lakeformation` – Allows principals to request temporary credentials to access data in a data lake location that is registered with Lake Formation and allows access to the LF-tags linked to databases, tables and columns.
  And is defined as:

```json theme={null}
{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Action": [
                "athena:ListTableMetadata",
                "athena:ListDatabases",
                "athena:GetTableMetadata",
                "athena:ListQueryExecutions",
                "athena:StartQueryExecution",
                "athena:GetQueryExecution",
                "athena:ListWorkGroups",
                "athena:GetQueryResults",
                "athena:BatchGetQueryExecution"
            ],
            "Effect": "Allow",
            "Resource": [
                "arn:aws:athena:<<AWS_REGION>>:<<ACCOUNT_ID>>:workgroup/<<WORKGROUP_NAME>>",
                "arn:aws:athena:<<AWS_REGION>>:<<ACCOUNT_ID>>:datacatalog/<<DATA_CATALOG_NAME>>"
            ]
        },
        {
            "Action": [
                "glue:GetTables",
                "glue:GetTable",
                "glue:GetDatabases",
                "glue:GetPartitions"
            ],
            "Effect": "Allow",
            "Resource": [
                "arn:aws:glue:<AWS_REGION>:<ACCOUNT_ID>:table/<<DATABASE_NAME>>/*",
                "arn:aws:glue:<AWS_REGION>:<ACCOUNT_ID>:database/<<DATABASE_NAME>>",
                "arn:aws:glue:<AWS_REGION>:<ACCOUNT_ID>:catalog"
            ]
        },
        {
            "Action": [
                "s3:ListBucket",
                "s3:GetObject",
                "s3:GetBucketLocation",
                "s3:PutObject"
            ],
            "Effect": "Allow",
            "Resource": [
                "arn:aws:s3:::<<ATHENA_S3_BUCKET>>/*"
            ]
        },
        {
            "Effect": "Allow",
            "Action": [
              "lakeformation:GetResourceLFTags"
            ],
            "Resource": [
                "arn:aws:athena:<<AWS_REGION>>:<<ACCOUNT_ID>>:datacatalog/<<DATA_CATALOG_NAME>>/database/<<DATABASE_NAME>>"
                "arn:aws:athena:<<AWS_REGION>>:<<ACCOUNT_ID>>:datacatalog/<<DATA_CATALOG_NAME>>/database/<<DATABASE_NAME>>/table/<<TABLE_NAME>>"
                "arn:aws:athena:<<AWS_REGION>>:<<ACCOUNT_ID>>:datacatalog/<<DATA_CATALOG_NAME>>/database/<<DATABASE_NAME>>/table/<<TABLE_NAME>>/column/<<COLUMN_NAME>>"
            ]
        },
        {
            "Action": [
                "lambda:InvokeFunction"
            ],
            "Effect": "Allow",
            "Resource": [
                "arn:aws:lambda:<<AWS_REGION>>:<<ACCOUNT_ID>>:function:<<CONNECTOR_NAME>>"
            ]
        },
        {
            "Effect": "Allow",
            "Action": [
                "kms:Decrypt",
                "kms:DescribeKey"
            ],
            "Resource": [
                "arn:aws:kms:<<AWS_REGION>>:<<ACCOUNT_ID>>:key/<<KMS_KEY_ID>>"
            ]
        }
    ]
}
```

### LF-Tags

Athena connector ingests and creates LF-tags in Collate with LF-tag key mapped to Collate's classification and the values mapped to tag labels. To ingest LF-tags provide the appropriate permissions as to the resources as mentioned above and enable the `includeTags` toggle in the ingestion config.
<Tip>**Tip**: If you have external services other than glue and facing permission issues, add the permissions to the list above.</Tip>

## Metadata Ingestion

To ingest metadata from Athena, you need to create a service connection. The service connects Athena 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 **Database Services**, then click the **Athena** connector tile.

<img src="https://mintcdn.com/collatedocs/kTp2dTyiNAX4Np5A/public/images/ai-2.0/connectors/metadata-ingestion/Database/select-service/athena.png?fit=max&auto=format&n=kTp2dTyiNAX4Np5A&q=85&s=377ffeb8de054f4902cd5c4c34779653" alt="Select Service" width="2164" height="1472" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Database/select-service/athena.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 Athena services you are ingesting metadata from.
* Optional: Enter a **Description** for the service.

<img src="https://mintcdn.com/collatedocs/bWmb7UY94lEjxxg4/public/images/ai-2.0/connectors/metadata-ingestion/Database/service-name/athena.png?fit=max&auto=format&n=bWmb7UY94lEjxxg4&q=85&s=d4367789687e0bfe235bfe859e4e67f4" alt="Add New Service Name" width="1498" height="854" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Database/service-name/athena.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 Athena. The right-hand panel in the UI displays inline help for each field.

<img src="https://mintcdn.com/collatedocs/kTp2dTyiNAX4Np5A/public/images/ai-2.0/connectors/metadata-ingestion/Database/connection-details/athena.png?fit=max&auto=format&n=kTp2dTyiNAX4Np5A&q=85&s=bebba9123c0249ac0ccd4a829095087a" alt="Configure Service Connection" width="1444" height="1512" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Database/connection-details/athena.png" />

* **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, we need 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).
  When using Assume Role authentication, ensure you provide the following details:
* **AWS Region**: Specify the AWS region for your deployment.
* **Assume Role ARN**: Provide the ARN of the role in your AWS account that Collate will assume.
* **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).
* **S3 Staging Directory**: The S3 staging directory is an optional parameter. Enter a staging directory to override the default staging directory for AWS Athena.
* **Athena Workgroup**: The Athena workgroup is an optional parameter. If you wish to have your Athena connection related to an existing AWS workgroup add your workgroup name here.

#### Advanced Configuration

Database Services have an Advanced Configuration section, where you can pass extra arguments to the connector and, if needed, change the connection Scheme. This would only be required to handle advanced connectivity scenarios or customizations.

* **Connection Options (Optional)**: Enter the details for any additional connection options that can be sent to database during the connection. These details must be added as Key-Value pairs.
* **Connection Arguments (Optional)**: Enter the details for any additional connection arguments such as security or protocol configs that can be sent during the connection. These details must be added as Key-Value pairs.

<Tip>
  **Tip**: When using a **Hybrid Ingestion Runner**, any sensitive credential fields—such as passwords, API keys, or private keys—must reference secrets using the following format:

  ```
  password: secret:/my/database/password
  ```

  This applies **only to fields marked as secrets** in the connection form (these typically mask input and show a visibility toggle icon).
  For more information about managing secrets in hybrid setups, see the [Hybrid Ingestion Runner Secret Management Guide](/ai-2-0/getting-started/lets-get-started/ingest-your-data/hybrid-ingestion-runner#manage-secrets)
</Tip>

#### 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 database service. Filter patterns use regular expressions applied to asset 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 all filter patterns empty to ingest all databases, schemas, and tables available in the source.
</Tip>

**Filter Options**

The Database, Schema, Table, and Stored Procedure sections each include the following filter options:

* **Database**: Controls which databases Collate ingests from the source.
* **Schema**: Controls which schemas within the ingested databases are included.
* **Table**: Controls which tables and views within the ingested schemas are included.
* **Stored Procedure**: Controls which stored procedures are included in metadata ingestion.

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 schemas, tables, columns, 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 core parameters for metadata extraction. The following fields are available:

     | Field                                 | Default | Description                                                                                                              |
     | ------------------------------------- | ------- | ------------------------------------------------------------------------------------------------------------------------ |
     | Default Owner                         | —       | Owner applied to all entities when no specific level owner is configured. Accepts a user or team name/email.             |
     | Service Owner                         | —       | Owner assigned to the service entity.                                                                                    |
     | Database Owner                        | —       | Owner assigned to all ingested databases. Accepts a single owner or a per-database name mapping.                         |
     | Database Schema Owner                 | —       | Owner assigned to all ingested schemas. Accepts a single owner or a per-schema name mapping.                             |
     | Table Owner                           | —       | Owner assigned to all ingested tables. Accepts a single owner or a per-table name mapping.                               |
     | Enable Inheritance                    | On      | When on, child entities inherit the owner from their parent when they have no owner configured.                          |
     | Query Log Duration                    | 1       | Number of days to look back in query logs when processing stored procedure results.                                      |
     | Query Parsing Timeout Limit           | 300     | Timeout in seconds for parsing a single query.                                                                           |
     | Number of Threads                     | 1       | Number of threads to use for parallel table ingestion.                                                                   |
     | Incremental Extraction                | Off     | When enabled, subsequent runs only extract entities changed since the last successful run.                               |
     | Successful Pipeline Run Lookback Days | 7       | Number of days to search back for a prior successful run to use as a baseline for incremental extraction.                |
     | Safety Margin Days                    | 1       | Additional days added to the baseline timestamp as a buffer for incremental extraction.                                  |
     | JSON Schema Sample Size               | 10      | Number of rows sampled to infer JSON column schema. Only applies when Extract JSON Schema is enabled in Advanced Config. |

     <img src="https://mintcdn.com/collatedocs/kTp2dTyiNAX4Np5A/public/images/ai-2.0/connectors/metadata-ingestion/Database/database-agent-setup.png?fit=max&auto=format&n=kTp2dTyiNAX4Np5A&q=85&s=429839e5b479082a6909dd2a7734513d" alt="Agent Setup" width="1570" height="1396" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Database/database-agent-setup.png" />

   * **Filter Patterns**: Apply include or exclude rules to scope which databases, schemas, tables, and stored procedures this agent ingests. For more information about various filter options, see **Step 5: Configure Ingestion Options**.

     <img src="https://mintcdn.com/collatedocs/kTp2dTyiNAX4Np5A/public/images/ai-2.0/connectors/metadata-ingestion/Database/database-filter-pattern.png?fit=max&auto=format&n=kTp2dTyiNAX4Np5A&q=85&s=8a0c5fcc3475acf8acc94e6eecb55a11" alt="Filter Patterns" width="1560" height="1030" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Database/database-filter-pattern.png" />

   * **Scope & Behaviour**: Control how the agent handles metadata during ingestion. Toggle each option on or off based on your needs:

     | Toggle                         | Default | Description                                                                                                                                                            |
     | ------------------------------ | ------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
     | Include Tables                 | On      | Ingest table metadata from the source. Turn off to skip tables entirely.                                                                                               |
     | Include Tags                   | On      | Ingest tags from the source.                                                                                                                                           |
     | Include Stored Procedures      | On      | Ingest stored procedure metadata.                                                                                                                                      |
     | Include DDL Statements         | Off     | Ingest DDL statements alongside table metadata.                                                                                                                        |
     | Include Owners                 | Off     | Assign owners to ingested entities when the source owner's email matches a user in Collate. Does not overwrite an existing owner.                                      |
     | Include Custom Properties      | Off     | Ingest connector-specific custom properties onto entities.                                                                                                             |
     | Mark Deleted Tables            | On      | Soft-delete tables in Collate when they are removed from the source. Applies only within the currently ingested schema.                                                |
     | Mark Deleted Stored Procedures | On      | Soft-delete stored procedures in Collate when they are removed from the source.                                                                                        |
     | Mark Deleted Schemas           | Off     | Soft-delete schemas and all their child assets when removed from the source.                                                                                           |
     | Mark Deleted Databases         | Off     | Soft-delete databases and all their child assets when removed from the source.                                                                                         |
     | 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. |
     | Enable Debug Log               | Off     | Sets the ingestion log level to DEBUG. Useful for troubleshooting.                                                                                                     |

     <Note>
       **Note**: Available toggles vary by connector. Stored procedure options only appear for connectors that support stored procedures.
     </Note>

     <img src="https://mintcdn.com/collatedocs/kTp2dTyiNAX4Np5A/public/images/ai-2.0/connectors/metadata-ingestion/Database/database-scope-behaviour.png?fit=max&auto=format&n=kTp2dTyiNAX4Np5A&q=85&s=6ada5b2870c990f494d1dac400e73459" alt="Scope & Behaviour" width="1566" height="1436" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Database/database-scope-behaviour.png" />

   * **Advanced Config**: Optional connector-specific settings such as Include Views and Extract JSON Schema.

     <img src="https://mintcdn.com/collatedocs/kTp2dTyiNAX4Np5A/public/images/ai-2.0/connectors/metadata-ingestion/Database/database-advance.png?fit=max&auto=format&n=kTp2dTyiNAX4Np5A&q=85&s=63ef86d9e746b6d31f0571b599792357" alt="Advanced Config" width="1564" height="352" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Database/database-advance.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.

## Reverse Metadata

* **Description Management**: Athena supports description updates at the following level:
  * Table level

* **Owner Management**: Owner management is not supported for Athena.

* **Tag Management**: Tag management is not supported for Athena.

* **Custom SQL Template**: Athena supports custom SQL templates for metadata changes. The template is interpreted using python f-strings.

  Following is the example of custom SQL queries for metadata changes:

  ```sql theme={null}
  -- Update table description
  ALTER TABLE {schema}.{table} SET TBLPROPERTIES ('comment' = {description});
  ```

  The list of variables for custom SQL can be found [here](/ai-2-0/admin-guide/applications/reverse-metadata#custom-sql-templates).

For more information about reverse metadata ingestion, see [Reverse Metadata Application](/ai-2-0/admin-guide/applications/reverse-metadata).

## Troubleshooting

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