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

Hypertable-Aware Profiling

Starting from OpenMetadata version 1.12, the Data Profiler, Data Quality, and Auto-Classification workflows are optimized for TimescaleDB hypertables with compression enabled.

How it works

When a hypertable has both compressed and uncompressed chunks, OpenMetadata automatically restricts all profiling queries to uncompressed data only. This avoids the expensive decompression operations that would otherwise be required to scan compressed chunks, significantly reducing CPU usage and memory pressure on the database. For table-level metrics, the profiler uses TimescaleDB-specific functions:
  • approximate_row_count() instead of scanning pg_catalog for row counts
  • hypertable_size() instead of pg_total_relation_size() for size metrics
For hypertables without compression or regular PostgreSQL tables, the profiler falls back to standard PostgreSQL behavior.
Thread count considerations: Each profiler thread opens a separate database connection. When querying hypertables, each connection acquires locks on the chunks it accesses. Running multiple threads against a hypertable with many chunks can exhaust PostgreSQL’s max_locks_per_transaction shared memory, resulting in out of shared memory errors. If you encounter this error, reduce the threadCount in your profiler configuration or increase max_locks_per_transaction on the database side.

Requirements

Before configuring the TimescaleDB connector, make sure the following requirements are in place.
Starting from OpenMetadata version 1.6.5, support for Stored Procedures Lineage has been introduced. This feature enables tracking the relationships and dependencies between stored procedures and other database objects, enhancing lineage visibility and data traceability.
TimescaleDB is built on PostgreSQL. Note that we only support officially supported PostgreSQL versions. You can check the version list here.

Usage and Lineage considerations

When extracting lineage and usage information from TimescaleDB, OpenMetadata bases its findings on the pg_stat_statements table. You can find more information about it in the official documentation. Another interesting consideration is explained in the following Stack Overflow question. As a summary:
  • The pg_stat_statements table has no time data embedded in it.
  • It shows all queries since the last reset (one can call pg_stat_statements_reset()).
When extracting usage and lineage data, the query log duration has no impact, only the query limit. Note: For usage and lineage, grant your user the pg_read_all_stats permission.

IAM Authentication

In order to connect via IAM, you need the following:
  1. Database is configured to use IAM authentication. Ensure that the RDS instance has IAM DB authentication enabled. Otherwise, click Modify to enable it.
  2. The user has the necessary IAM permissions. Even if you use IAM to connect to TimescaleDB, you need to specify a user to prepare the connection. Create a user as follows:
  1. The AWS Role has the necessary permissions. The role used to perform the ingestion needs the following permissions:
Otherwise, you might encounter an error such as:

Metadata Ingestion

To ingest metadata from TimescaleDB, you need to create a service connection. The service connects TimescaleDB 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 Database Services, then click the TimescaleDB 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 TimescaleDB services you are ingesting metadata from.
  • Optional: Enter a Description for the service.
Configure Service
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 TimescaleDB. The right-hand panel in the UI displays inline help for each field. Configure Service Connection Connection
  • Username: Specify the user to connect to TimescaleDB. It should have enough privileges to read all the metadata.
  • Host and Port: Enter the fully qualified hostname and port number for your TimescaleDB deployment.
Authentication
  • Auth Type: Basic Auth or IAM-based auth to connect to instances or cloud RDS.
    • Basic Auth: Provide the password to connect to TimescaleDB.
    • IAM Based Auth:
      • AWS Access Key ID & AWS Secret Access Key: Required when interacting with AWS programmatically (docs).
      • AWS Region: Required to resolve service endpoints (docs).
      • AWS Session Token (Optional): Needed when using temporary credentials (docs).
      • Endpoint URL (Optional): Override the default AWS endpoint if needed (docs).
      • Profile Name: Use a named profile other than default if desired (docs).
      • Assume Role Arn: ARN of the role to assume for cross-account access (docs).
      • Assume Role Session Name: Identifier for the assumed role session (docs).
      • Assume Role Source Identity: Source identity for CloudTrail attribution (docs).
      When using Assume Role authentication, provide the AWS Region and the Assume Role ARN used for ingestion.

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 database service. Filter patterns use regular expressions applied to asset 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 all filter patterns empty to ingest all databases, schemas, and tables available in the source.
Filter Options The Database, Schema, Table, and Stored Procedure sections each include the following filter options:
  • Database: Controls which databases OpenMetadata 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.

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 schemas, tables, columns, 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 core parameters for metadata extraction. The following fields are available: Agent Setup
    • 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 6: Configure Ingestion Options. Filter Patterns
    • Scope & Behaviour: Control how the agent handles metadata during ingestion. Toggle each option on or off based on your needs:
      Available toggles vary by connector. Stored procedure options only appear for connectors that support stored procedures.
      Scope & Behaviour
    • Advanced Config: Optional connector-specific settings such as Include Views and Extract JSON Schema. Advanced Config
  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.

Securing TimescaleDB Connection with SSL in OpenMetadata

To establish secure connections between OpenMetadata and a TimescaleDB database, you can configure SSL using different SSL modes provided by PostgreSQL, each offering varying levels of security. Under Advanced Config, specify the SSL mode appropriate for your connection, such as prefer, verify-ca, allow, and others. After selecting the SSL mode, provide the CA certificate used for SSL validation (caCertificate). Note that TimescaleDB (PostgreSQL) requires only the CA certificate for SSL validation.
For IAM authentication, it is recommended to choose the allow mode or another SSL mode that fits your specific requirements.

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.