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

# DB2 Connector | OpenMetadata Database Integration Guide

> Connect DB2 databases to OpenMetadata with our comprehensive connector guide. Step-by-step setup, configuration, and metadata extraction instructions.

export const MetadataIngestionUi = ({connector, selectServicePath, addNewServicePath, serviceConnectionPath}) => {
  return <>
    <p>
      To ingest metadata from your sources, you need to create a service connection.
      The service connects your source system with OpenMetadata. Once you create
      a service, you can use it to configure your ingestion workflows.<br />
      <br />
      To create a service connection and ingest your metadata, follow the steps below:
    </p>
      <Steps>
      <Step title="Select the Service">
        <ol>
          <li>
            On the left navigation bar, click <strong>Settings</strong>.
          </li>
          <li>
            On the next page, click <strong>Services</strong>, and then select the service.
            <img src="/public/images/connectors/visit-services-page.png" alt="Visit Services Page" />
          </li>
        </ol>
      </Step>

      <Step title="Create a New Service">
        To add a new service connection, click <strong>Add New Service</strong>.
        <img src="/public/images/connectors/create-new-service.png" alt="Create a new Service" />
      </Step>

      <Step title="Select the Connector">
        Select <strong>{connector}</strong> as the service type and click <strong>Next</strong>.

        {selectServicePath && <img src={selectServicePath} alt="Select Service" />}
      </Step>

      <Step title="Name and Describe the Service">
        Enter a unique <strong>Service Name</strong> and <strong>Description</strong>.
        <ul>
         <li><strong>Service Name</strong>: OpenMetadata identifies services by their service name. Enter a name that distinguishes this deployment from other services, including other {connector} services you are ingesting metadata from.</li>
        </ul>

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

        {addNewServicePath && <img src={addNewServicePath} alt="Add New Service" />}
      </Step>

      <Step title="Configure the Service Connection">
        Set up the connection settings required for {connector} to set up the service and start ingesting metadata from your sources. The right-hand panel displays help documentation for the selected connection type in the product UI.
        {serviceConnectionPath && <img src={serviceConnectionPath} alt="Configure Service connection" />}
      </Step>
    </Steps>
  </>;
};

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/ibmdb2.webp" name="DB2" stage="PROD" availableFeatures={["Metadata", "Data Profiler", "Data Quality", "View Lineage", "View Column-level Lineage", "dbt", "Sample Data", "Auto-Classification"]} unavailableFeatures={["Query Usage", "Owners", "Tags", "Stored Procedures"]} />

<Warning>
  OpenMetadata doesn't ship DB2 connector in the ingestion contain by default.
  Please make sure you install the below Python package in the ingestion container if you are planning on running DB2 Connector.
  If you are running this as part of docker

  ```code theme={null}
  docker exec -it openmetadata_ingestion pip install '.[db2]'
  ```

  Using python pip, Please make sure you provide appropriate version of ingestion in below command

  ```code theme={null}
   pip install 'openmetadata-ingestion[db2]==1.2.4.0'
  ```
</Warning>

In this section, we provide guides and references to use the DB2 connector.
Configure and schedule DB2 metadata and profiler workflows from the OpenMetadata UI:

* [Requirements](#requirements)
* [Metadata Ingestion](#metadata-ingestion)
* [Lineage](/v1.12.x/how-to-guides/data-lineage/workflow)
* [Data Profiler](/v1.12.x/how-to-guides/data-quality-observability/profiler/profiler-workflow)
* [Data Quality](/v1.12.x/how-to-guides/data-quality-observability/quality)
* [dbt Integration](/v1.12.x/connectors/database/dbt)
* [Troubleshooting](/v1.12.x/connectors/database/db2/troubleshooting)

## Requirements

To create a new Db2 user please follow the guidelines mentioned [here](https://www.ibm.com/docs/ko/samfess/8.2.0?topic=schema-creating-users-manually)
Db2 user must have the below permissions to ingest the metadata:

### DB2 for LUW (Linux, UNIX, Windows)

* `SELECT` privilege on `SYSCAT.SCHEMATA` to fetch the metadata of schemas.

```sql theme={null}
-- Grant SELECT on tables for schema metadata
GRANT SELECT ON SYSCAT.SCHEMATA TO USER_NAME;
```

### DB2 for z/OS

DB2 for z/OS uses `SYSIBM.*` catalog tables instead of `SYSCAT.*`. The connector auto-detects the platform and uses the appropriate catalog tables. The following permissions are required:

* `SELECT` privilege on `SYSIBM.SYSTABLES` to fetch schemas, table names, and table comments.

```sql theme={null}
GRANT SELECT ON SYSIBM.SYSTABLES TO USER_NAME;
```

* `SELECT` privilege on `SYSIBM.SYSCOLUMNS` to fetch column metadata for tables.

```sql theme={null}
GRANT SELECT ON SYSIBM.SYSCOLUMNS TO USER_NAME;
```

* `SELECT` privilege on `SYSIBM.SYSVIEWS` to fetch view names and definitions.

```sql theme={null}
GRANT SELECT ON SYSIBM.SYSVIEWS TO USER_NAME;
```

* `SELECT` privilege on `SYSIBM.SYSINDEXES` to fetch index and primary key information.

```sql theme={null}
GRANT SELECT ON SYSIBM.SYSINDEXES TO USER_NAME;
```

* `SELECT` privilege on `SYSIBM.SYSTABCONST` to fetch table constraints (primary keys, unique constraints).

```sql theme={null}
GRANT SELECT ON SYSIBM.SYSTABCONST TO USER_NAME;
```

* `SELECT` privilege on `SYSIBM.SYSKEYCOLUSE` to fetch key column usage for constraints.

```sql theme={null}
GRANT SELECT ON SYSIBM.SYSKEYCOLUSE TO USER_NAME;
```

* `SELECT` privilege on `SYSIBM.SYSFOREIGNKEYS` to fetch foreign key column details.

```sql theme={null}
GRANT SELECT ON SYSIBM.SYSFOREIGNKEYS TO USER_NAME;
```

* `SELECT` privilege on `SYSIBM.SYSRELS` to fetch foreign key relationships between tables.

```sql theme={null}
GRANT SELECT ON SYSIBM.SYSRELS TO USER_NAME;
```

* `SELECT` privilege on `SYSIBM.SYSSEQUENCES` to fetch sequence metadata.

```sql theme={null}
GRANT SELECT ON SYSIBM.SYSSEQUENCES TO USER_NAME;
```

### Profiler & Data Quality

Executing the profiler workflow or data quality tests, will require the user to have `SELECT` permission on the tables/schemas where the profiler/tests will be executed. More information on the profiler workflow setup can be found [here](/v1.12.x/how-to-guides/data-quality-observability/profiler/profiler-workflow) and data quality tests [here](/v1.12.x/how-to-guides/data-quality-observability/quality).

## Metadata Ingestion

<MetadataIngestionUi connector={"DB2"} selectServicePath={"/public/images/connectors/db2/select-service.png"} addNewServicePath={"/public/images/connectors/db2/add-new-service.png"} serviceConnectionPath={"/public/images/connectors/db2/service-connection.png"} />

# Connection Details

<Steps>
  <Step title="Connection Details">
    <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 a complete guide on managing secrets in hybrid setups, see the [Hybrid Ingestion Runner Secret Management Guide](https://docs.getcollate.io/getting-started/day-1/hybrid-saas/hybrid-ingestion-runner#3.-manage-secrets-securely).
    </Tip>

    * **Username**: Specify the User to connect to DB2. It should have enough privileges to read all the metadata.
    * **Password**: Password to connect to DB2.
    * **database**: Database of the data source.
    * **Host and Port**: Enter the fully qualified hostname and port number for your DB2 deployment in the Host and Port field.
    * **License File Name**: License file name in case the license is required for connection.
    * **License**: Contents of your license file if applicable, make sure to replace new lines with `\n` before pasting it here.

    <Tip>
      If you are using DB2 for IBM i:

      * From advanced config you need to chose `ibmi` scheme
      * In Host and Port you should not add the Port Number.
    </Tip>

    <Tip>
      If you have a **db2jcc\_license\_cisuz.jar** file, it will not work with **ibm\_db**. This file is a **Db2 Connect** license for the Java Driver.
      For **non-Java drivers**, such as the Python Client used in OpenMetadata ingestion, a **Db2 Connect** client-side license is required, typically named **db2con*.lic*\*.
      The **db2jcc\_license\_cisuz.jar** is specifically for Java-based clients, whereas OpenMetadata ingestion operates with a Python Client, making the `.jar` file incompatible.

      For activating a **non-Java license** for Db2 Connect **Application Server Edition**, **Advanced Application Server Edition**, **Enterprise Edition**, or **Trial**, follow these steps:

      * Download the **license activation kit** from IBM Passport Advantage: [IBM PPA](https://www.ibm.com/software/passportadvantage/pao_customer.html).
      * Unzip the package and locate the **non-Java license file** (e.g., `db2consv_ee.lic`).
      * Apply the `.lic` file to activate the license.
        For further reference, check this IBM post: [Everything About Db2 Connect Licensing](https://community.ibm.com/community/user/datamanagement/blogs/shilu-mathai2/2023/05/05/everything-about-db2-connect-licensing).
    </Tip>
  </Step>

  <Step title="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.

          <img src="https://mintcdn.com/openmetadata/6gXrLELUGeLr2Cj6/public/images/connectors/advanced-configuration.png?fit=max&auto=format&n=6gXrLELUGeLr2Cj6&q=85&s=c8f582832bafdb22aec9a99e387d8b50" alt="Advanced Configuration" width="1398" height="534" data-path="public/images/connectors/advanced-configuration.png" />
  </Step>

  <Step title="Test the Connection">
    Once the credentials have been added, click on *Test Connection* and *Save* the changes.

    <img src="https://mintcdn.com/openmetadata/9G75p72jJKYgvFUQ/public/images/connectors/test-connection.png?fit=max&auto=format&n=9G75p72jJKYgvFUQ&q=85&s=4ac71a56e30fa3dd1be86f82c1f07068" alt="Test Connection" width="1494" height="310" data-path="public/images/connectors/test-connection.png" />
  </Step>

  <Step title="Configure Metadata Ingestion">
    In this step we will configure the metadata ingestion pipeline,
    Please follow the instructions below

    <img src="https://mintcdn.com/openmetadata/9SXjaLbGROaofLQU/public/images/connectors/configure-metadata-ingestion-database-1.png?fit=max&auto=format&n=9SXjaLbGROaofLQU&q=85&s=88d2b5053db43d64f42deb9c7f1482c9" alt="Configure Metadata Ingestion" width="1327" height="1271" data-path="public/images/connectors/configure-metadata-ingestion-database-1.png" />

    <img src="https://mintcdn.com/openmetadata/9SXjaLbGROaofLQU/public/images/connectors/configure-metadata-ingestion-database-2.png?fit=max&auto=format&n=9SXjaLbGROaofLQU&q=85&s=e71e7a62c5d9be44458c87508fed39e1" alt="Configure Metadata Ingestion" width="1327" height="1271" data-path="public/images/connectors/configure-metadata-ingestion-database-2.png" />

    #### Metadata Ingestion Options

    <Tip>
      If the owner's name is openmetadata, you need to enter `openmetadata@domain.com` in the name section of add team/user form, click [here](/connectors/database/dbt/ingest-dbt-owner#following-steps-shows-adding-a-user-to-openmetadata) for more info.
    </Tip>

    * **Name**: This field refers to the name of ingestion pipeline, you can customize the name or use the generated name.

    * **Database Filter Pattern (Optional)**: Use to database filter patterns to control whether or not to include database as part of metadata ingestion.
      * **Include**: Explicitly include databases by adding a list of comma-separated regular expressions to the Include field. OpenMetadata will include all databases with names matching one or more of the supplied regular expressions. All other databases will be excluded.
      * **Exclude**: Explicitly exclude databases by adding a list of comma-separated regular expressions to the Exclude field. OpenMetadata will exclude all databases with names matching one or more of the supplied regular expressions. All other databases will be included.

    * **Schema Filter Pattern (Optional)**: Use to schema filter patterns to control whether to include schemas as part of metadata ingestion.
      * **Include**: Explicitly include schemas by adding a list of comma-separated regular expressions to the Include field. OpenMetadata will include all schemas with names matching one or more of the supplied regular expressions. All other schemas will be excluded.
      * **Exclude**: Explicitly exclude schemas by adding a list of comma-separated regular expressions to the Exclude field. OpenMetadata will exclude all schemas with names matching one or more of the supplied regular expressions. All other schemas will be included.

    * **Table Filter Pattern (Optional)**: Use to table filter patterns to control whether to include tables as part of metadata ingestion.
      * **Include**: Explicitly include tables by adding a list of comma-separated regular expressions to the Include field. OpenMetadata will include all tables with names matching one or more of the supplied regular expressions. All other tables will be excluded.
      * **Exclude**: Explicitly exclude tables by adding a list of comma-separated regular expressions to the Exclude field. OpenMetadata will exclude all tables with names matching one or more of the supplied regular expressions. All other tables will be included.

    * **Enable Debug Log (toggle)**: Set the Enable Debug Log toggle to set the default log level to debug.

    * **Mark Deleted Tables (toggle)**: Set the Mark Deleted Tables toggle to flag tables as soft-deleted if they are not present anymore in the source system.

    * **Mark Deleted Tables from Filter Only (toggle)**: Set the Mark Deleted Tables from Filter Only toggle to flag tables as soft-deleted if they are not present anymore within the filtered schema or database only. This flag is useful when you have more than one ingestion pipelines. For example if you have a schema

    * **includeTables (toggle)**: Optional configuration to turn off fetching metadata for tables.

    * **includeViews (toggle)**: Set the Include views toggle to control whether to include views as part of metadata ingestion.

    * **includeTags (toggle)**: Set the 'Include Tags' toggle to control whether to include tags as part of metadata ingestion.

    * **includeOwners (toggle)**: Set the 'Include Owners' toggle to control whether to include owners to the ingested entity if the owner email matches with a user stored in the OM server as part of metadata ingestion. If the ingested entity already exists and has an owner, the owner will not be overwritten.

    * **includeStoredProcedures (toggle)**: Optional configuration to toggle the Stored Procedures ingestion.

    * **includeDDL (toggle)**: Optional configuration to toggle the DDL Statements ingestion.

    * **queryLogDuration (Optional)**: Configuration to tune how far we want to look back in query logs to process Stored Procedures results.

    * **queryParsingTimeoutLimit (Optional)**: Configuration to set the timeout for parsing the query in seconds.

    * **useFqnForFiltering (toggle)**: Regex will be applied on fully qualified name (e.g service\_name.db\_name.schema\_name.table\_name) instead of raw name (e.g. table\_name).

    * **Incremental (Beta)**: Use Incremental Metadata Extraction after the first execution. This is done by getting the changed tables instead of all of them. **Only Available for BigQuery, Redshift and Snowflake**
      * **Enabled**: If `True`, enables Metadata Extraction to be Incremental.
      * **lookback Days**: Number of days to search back for a successful pipeline run. The timestamp of the last found successful pipeline run will be used as a base to search for updated entities.
      * **Safety Margin Days**: Number of days to add to the last successful pipeline run timestamp to search for updated entities.

    * **Threads (Beta)**: Use a Multithread approach for Metadata Extraction. You can define here the number of threads you would like to run concurrently.

    Note that the right-hand side panel in the OpenMetadata UI will also share useful documentation when configuring the ingestion.
  </Step>

  <Step title="Schedule the Ingestion and Deploy">
    Scheduling can be set up at an hourly, daily, weekly, or manual cadence. The
    timezone is in UTC. Select a Start Date to schedule for ingestion. It is
    optional to add an End Date.

    Review your configuration settings. If they match what you intended,
    click Deploy to create the service and schedule metadata ingestion.

    If something doesn't look right, click the Back button to return to the
    appropriate step and change the settings as needed.

    After configuring the workflow, you can click on Deploy to create the
    pipeline.

    <img src="https://mintcdn.com/openmetadata/j50Bw6ZBiFbbFFnF/public/images/connectors/schedule.png?fit=max&auto=format&n=j50Bw6ZBiFbbFFnF&q=85&s=24b0c2f55f803efde5fb3b3bc24ed3ae" alt="Schedule the Workflow" width="2733" height="1083" data-path="public/images/connectors/schedule.png" />
  </Step>

  <Step title="View the Ingestion Pipeline">
    Once the workflow has been successfully deployed, you can view the
    Ingestion Pipeline running from the Service Page.

    <img src="https://mintcdn.com/openmetadata/9G75p72jJKYgvFUQ/public/images/connectors/view-ingestion-pipeline.png?fit=max&auto=format&n=9G75p72jJKYgvFUQ&q=85&s=7c4e411977371617cb1312efb9f9bfee" alt="View Ingestion Pipeline" width="2733" height="1271" data-path="public/images/connectors/view-ingestion-pipeline.png" />

    <Tip>
      If AutoPilot is enabled, workflows like usage tracking, data lineage, and similar tasks will be handled automatically. Users don’t need to set up or manage them - AutoPilot takes care of everything in the system.
    </Tip>
  </Step>
</Steps>

## Related

<Columns cols={2}>
  <Card title="Usage Workflow" href="/v1.12.x/connectors/ingestion/workflows/usage">
    Learn more about how to configure the Usage Workflow to ingest Query information from the UI.
  </Card>

  <Card title="Lineage Workflow" href="/v1.12.x/connectors/ingestion/workflows/lineage">
    Learn more about how to configure the Lineage from the UI.
  </Card>

  <Card title="Profiler Workflow" href="/v1.12.x/how-to-guides/data-quality-observability/profiler/profiler-workflow">
    Learn more about how to configure the Data Profiler from the UI.
  </Card>

  <Card title="Data Quality Workflow" href="/v1.12.x/how-to-guides/data-quality-observability/quality/configure">
    Learn more about how to configure the Data Quality tests from the UI.
  </Card>

  <Card title="dbt Integration" href="/v1.12.x/connectors/database/dbt">
    Learn more about how to ingest dbt models' definitions and their lineage.
  </Card>
</Columns>