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In this section, we provide guides and references to use the Hive connector.

Configure and schedule Hive metadata and profiler workflows from the OpenMetadata UI:

Ingestion Deployment

To run the Ingestion via the UI you'll need to use the OpenMetadata Ingestion Container, which comes shipped with custom Airflow plugins to handle the workflow deployment. If you want to install it manually in an already existing Airflow host, you can follow this guide.

If you don't want to use the OpenMetadata Ingestion container to configure the workflows via the UI, then you can check the following docs to run the Ingestion Framework in any orchestrator externally.

Run Connectors from the OpenMetadata UI

Learn how to manage your deployment to run connectors from the UI

Run the Connector Externally

Get the YAML to run the ingestion externally

External Schedulers

Get more information about running the Ingestion Framework Externally

Requirements

Metadata

To extract metadata, the user used in the connection needs to be able to perform SELECT, SHOW, and DESCRIBE operations in the database/schema where the metadata needs to be extracted from.

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 and data quality tests here.

Metadata Ingestion

1. Visit the Services Page

The first step is to ingest the metadata from your sources. To do that, you first need to create a Service connection first.

This Service will be the bridge between OpenMetadata and your source system.

Once a Service is created, it can be used to configure your ingestion workflows.

Visit Services Page

Select your Service Type and Add a New Service

2. Create a New Service

Click on Add New Service to start the Service creation.

Create a new Service

Add a new Service from the Services page

3. Select the Service Type

Select Hive as the Service type and click Next.

Select Service

Select your Service from the list

4. Name and Describe your Service

Provide a name and description for your Service.

Service Name

OpenMetadata uniquely identifies Services by their Service Name. Provide a name that distinguishes your deployment from other Services, including the other Hive Services that you might be ingesting metadata from.

Note that when the name is set, it cannot be changed.

Add New Service

Provide a Name and description for your Service

5. Configure the Service Connection

In this step, we will configure the connection settings required for Hive.

Please follow the instructions below to properly configure the Service to read from your sources. You will also find helper documentation on the right-hand side panel in the UI.

Configure Service connection

Configure the Service connection by filling the form

Connection Details

  • Username: Specify the User to connect to Hive. It should have enough privileges to read all the metadata.
  • Password: Password to connect to Hive.
  • Host and Port: This parameter specifies the host and port of the Hive server instance. This should be specified as a string in the format hostname:port. For example, you might set the hostPort parameter to myhivehost:10000.
  • Auth Options (Optional): The auth parameter specifies the authentication method to use when connecting to the Hive server. Possible values are LDAP, NONE, CUSTOM, or KERBEROS. If you are using Kerberos authentication, you should set auth to KERBEROS. If you are using custom authentication, you should set auth to CUSTOM and provide additional options in the authOptions parameter.
  • Kerberos Service Name: This parameter specifies the Kerberos service name to use for authentication. This should only be specified if using Kerberos authentication. The default value is hive.
  • Database Schema: Schema of the data source. This is optional parameter, if you would like to restrict the metadata reading to a single schema. When left blank, OpenMetadata Ingestion attempts to scan all the schemas.
  • Database Name: Optional name to give to the database in OpenMetadata. If left blank, we will use default as the database name.

For MySQL Metastore Connection

You can also ingest the metadata using Mysql metastore. This step is optional if metastore details are not provided then we will query the hive server directly.

  • Username: Specify the User to connect to MySQL Metastore. It should have enough privileges to read all the metadata.
  • Password: Password to connect to MySQL.
  • Host and Port: Enter the fully qualified hostname and port number for your MySQL Metastore deployment in the Host and Port field in the format hostname:port.
  • databaseSchema: Enter the database schema which is associated with the metastore.

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.
Advanced Configuration

Advanced Configuration

For Postgres Metastore Connection

You can also ingest the metadata using Postgres metastore. This step is optional if metastore details are not provided then we will query the hive server directly.

  • Username: Specify the User to connect to Postgres Metastore. It should have enough privileges to read all the metadata.
  • Password: Password to connect to Postgres.
  • Host and Port: Enter the fully qualified hostname and port number for your Postgres deployment in the Host and Port field in the format hostname:port.
  • Database: Initial Postgres database to connect to. Specify the name of database associated with metastore instance.

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.
Advanced Configuration

Advanced Configuration

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.
Advanced Configuration

Advanced Configuration

6. Test the Connection

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

Test Connection

Test the connection and save the Service

7. Configure Metadata Ingestion

In this step we will configure the metadata ingestion pipeline, Please follow the instructions below

Configure Metadata Ingestion

Configure Metadata Ingestion Page - 1

Configure Metadata Ingestion

Configure Metadata Ingestion Page - 2

Metadata Ingestion Options

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 for more info.

  • 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. For further information please check the documentation on Metadata Ingestion - Multithreading

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

8. 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.

Schedule the Workflow

Schedule the Ingestion Pipeline and Deploy

9. View the Ingestion Pipeline

Once the workflow has been successfully deployed, you can view the Ingestion Pipeline running from the Service Page.

View Ingestion Pipeline

View the Ingestion Pipeline from the Service Page

Securing Hive Connection with SSL in OpenMetadata

To configure SSL for secure connections between OpenMetadata and a Hive database, you need to add ssl_cert as a key and the path to the CA certificate as its value under connectionArguments. Ensure that the certificate is accessible by the server. If you use a Docker or Kubernetes deployment, update the CA certificate in the Open Metadata server.

SSL Configuration

SSL Configuration

Troubleshooting

Workflow Deployment Error

If there were any errors during the workflow deployment process, the Ingestion Pipeline Entity will still be created, but no workflow will be present in the Ingestion container.

  • You can then Edit the Ingestion Pipeline and Deploy it again.
  • From the Connection tab, you can also Edit the Service if needed.

Related

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.