- Hypertable-Aware Profiling
- Requirements
- Metadata Ingestion
- Securing TimescaleDB Connection with SSL in OpenMetadata
- Lineage
- Data Profiler
- Data Quality
- dbt Integration
- Troubleshooting
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 scanningpg_catalogfor row countshypertable_size()instead ofpg_total_relation_size()for size metrics
Requirements
Before configuring the TimescaleDB connector, make sure the following requirements are in place.Usage and Lineage considerations
When extracting lineage and usage information from TimescaleDB, OpenMetadata bases its findings on thepg_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_statementstable has no time data embedded in it. - It shows all queries since the last reset (one can call
pg_stat_statements_reset()).
pg_read_all_stats permission.
IAM Authentication
In order to connect via IAM, you need the following:- Database is configured to use IAM authentication. Ensure that the RDS instance has IAM DB authentication enabled. Otherwise, click Modify to enable it.
- 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:
- The AWS Role has the necessary permissions. The role used to perform the ingestion needs the following permissions:
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
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Navigate to Settings > Services.

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Click Add New Service.

Step 2: Select a Service and Connector
From the service type dropdown, select Database Services, then click the TimescaleDB connector tile.
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.

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.
- 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.
- 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
defaultif 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).
Test Connection
Once the credentials have been added, click on Test Connection and Save the changes.
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.
- contains: matches any name containing the value. For example,
salesmatchesmy_sales_dataandsales_2024. - starts with: matches names beginning with the value. For example,
prod_matchesprod_dbandprod_schema. - ends with: matches names ending with the value. For example,
_rawmatchesevents_rawandlogs_raw. - is exactly: matches the exact name only. For example,
analyticsmatches onlyanalytics. - matches regex: matches names using a regular expression. For example,
^prod_.*_v\d+$matchesprod_events_v1.
- 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.
- 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:-
Navigate to Settings > Services and select the service type.

- Click the service you have added.
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Select the Agents tab and click Add Agent > Metadata.
For some services, the dropdown is not available and clicking Add Agent takes you directly to the agent configuration page.
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On the Configure Ingestion page, do the following and click Next.
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Name this Ingestion: Enter a unique recognizable name for this ingestion pipeline.

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Agent Setup: Configure core parameters for metadata extraction. The following fields are available:

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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.

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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.

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

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Name this Ingestion: Enter a unique recognizable name for this ingestion pipeline.
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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.

- 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 asprefer, 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.
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.