- Requirements
- Metadata Ingestion
- Query Usage
- Data Profiler
- Data Quality
- Lineage
- dbt Integration
- Enable Security
- Troubleshooting
Requirements
Before configuring the PostgreSQL connector, make sure the following requirements are in place.Usage & Lineage
For the usage and lineage workflow, OpenMetadata relies on thepg_stat_statements extension to read query history. You need to enable the extension and grant your user read access to query statistics.
1. Load the extension at server startup by adding the following to your postgresql.conf:
- Increase
pg_stat_statements.maxto at least10000(or higher) inpostgresql.confto reduce entry eviction. - Set
pg_stat_statements.track = 'all'inpostgresql.confto capture queries inside functions and procedures. - Schedule frequent ingestion runs (for example, every 1-2 hours) to capture queries before they are evicted.
- Avoid calling
pg_stat_statements_reset()before ingestion. If periodic resets are needed, schedule them after ingestion completes.
pg_stat_statements, or if you need more control over query retention, you can set the Query Statement Source connection property to a custom view or table (for example, my_schema.custom_query_history). The custom source must expose the same columns that OpenMetadata reads from pg_stat_statements: userid (oid), dbid (oid), query (text), and either total_exec_time (double precision, PostgreSQL 13+) or total_time (double precision, PostgreSQL < 13). If not set, OpenMetadata defaults to pg_stat_statements.
IAM Authentication
In order to be able to connect via IAM, you need to have the following:- Database is configured to use IAM authentication. Ensure that the RDS has IAM DB authentication enabled. Otherwise, you can click on Modify to enable it.
- The user has the necessary IAM permissions. Even if you use IAM to connect to PostgreSQL, you need to specify a user to prepare the connection. You need to create a user as follows:
- The AWS Role has the necessary permissions. The role that is going to be used to perform the ingestion needs to have the following permissions:
Stored Procedures
When executing stored procedures in PostgreSQL, lineage extraction relies on capturing the SQL queries executed within the procedure. However, by default, PostgreSQL does not track the internal queries of a stored procedure inpg_stat_statements.
Enabling Query Tracking for Lineage
To ensure OpenMetadata captures lineage from stored procedures, follow these steps:- Enable Logging for All Statements.
Modify the
postgresql.conffile and set:
pg_stat_statements to Track Nested Queries.
By default, pg_stat_statements may only capture top-level procedure calls and not the internal queries. To change this behavior, update:
Metadata Ingestion
To ingest metadata from PostgreSQL, you need to create a service connection. The service connects PostgreSQL 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL. The right-hand panel in the UI displays inline help for each field.
- Username: Specify the User to connect to PostgreSQL. It should have enough privileges to read all the metadata.
- Auth Type: Basic Auth or IAM based auth to connect to instances / cloud RDS.
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Basic Auth:
- Password: Password to connect to PostgreSQL.
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IAM Based Auth:
- AWS Access Key ID & 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).
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 here. - AWS Region: Each AWS Region is a separate geographic area in which AWS clusters data centers (docs). 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 here.
- 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.
- 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 use 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.
- Profile Name: A named profile is a collection of settings and credentials that you can apply to a 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 here more information about Named profiles for the AWS CLI. - Assume Role Arn: Typically, you use
AssumeRolewithin your account or for cross-account access. In this field you’ll set theARN(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 callAssumeRolefor theARNof the role in the other account. This is a required field if you’d like toAssumeRole. Find more information on AssumeRole.
- 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. - Assume Role Source Identity: The source identity specified by the principal that is calling the
AssumeRoleoperation. You can use source identity information in AWS CloudTrail logs to determine who took actions with a role. Find more information about Source Identity.
- AWS Access Key ID & 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).
Access keys consist of two parts: An access key ID (for example,
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Basic Auth:
- Host and Port: Enter the fully qualified hostname and port number for your PostgreSQL deployment in the Host and Port field.
SSL Modes
There are a couple of types of SSL modes that PostgreSQL supports which can be added to ConnectionArguments, they are as follows:- disable: SSL is disabled and the connection is not encrypted.
- allow: SSL is used if the server requires it.
- prefer: SSL is used if the server supports it.
- require: SSL is required.
- verify-ca: SSL must be used and the server certificate must be verified.
- verify-full: SSL must be used. The server certificate must be verified, and the server hostname must match the hostname attribute on the certificate.
SSL Configuration
In order to integrate SSL in the Metadata Ingestion Config, the user will have to add the SSL config under sslConfig which is placed in the source.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.
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 PostgreSQL Connection with SSL in OpenMetadata
To establish secure connections between OpenMetadata and a PostgreSQL database, you can configure SSL using different SSL modes provided by PostgreSQL, each offering varying levels of security. UnderAdvanced 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 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.