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

Requirements

Before configuring the PostgreSQL connector, make sure the following requirements are in place.
Note that we only support officially supported PostgreSQL versions. You can check the version list here.

Usage & Lineage

For the usage and lineage workflow, OpenMetadata relies on the pg_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:
After making this change, restart the PostgreSQL server. 2. Enable the extension and grant access by running the following SQL as a superuser:
You can find more information on the usage workflow here and the lineage workflow here.
pg_stat_statements is not a query log, it is a fixed-size, in-memory statistics collector. This has important implications for lineage and usage completeness:
  • Entry eviction: It stores entries in a hash table controlled by pg_stat_statements.max (default: 5000). When full, the least-executed entries are silently evicted. Queries can disappear before OpenMetadata reads them.
  • Query normalization: Queries are deduplicated by shape, literal values are replaced with placeholders (for example, SELECT * FROM users WHERE id = $1). Individual executions are not stored.
  • No timestamps: There is no time data. Only cumulative calls count and total_exec_time since the last reset are tracked. The query log duration setting in OpenMetadata will have no impact, only the query limit matters.
  • Resets clear everything: A server restart or pg_stat_statements_reset() wipes all entries.
To get the most complete lineage and usage data, we recommend:
  • Increase pg_stat_statements.max to at least 10000 (or higher) in postgresql.conf to reduce entry eviction.
  • Set pg_stat_statements.track = 'all' in postgresql.conf to 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.
If your organization restricts direct access to 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:
  1. 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.
  2. 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:
  1. 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:
Otherwise, you might be finding issues such as PAM authentication failed for user “<user>“

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 in pg_stat_statements.

Enabling Query Tracking for Lineage

To ensure OpenMetadata captures lineage from stored procedures, follow these steps:
  1. Enable Logging for All Statements. Modify the postgresql.conf file and set:
This will log all executed SQL statements, including those inside stored procedures. 2. Configure 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:
This ensures that statements executed within procedures are recorded.

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

  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 PostgreSQL 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 PostgreSQL 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 PostgreSQL. The right-hand panel in the UI displays inline help for each field. Configure Service Connection
  • 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.
    • Basic Auth:
      • Password: Password to connect to PostgreSQL.
    • 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 AssumeRole within your account or for cross-account access. In this field you’ll set the ARN (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 call AssumeRole for the ARN of the role in the other account. This is a required field if you’d like to AssumeRole. Find more information on AssumeRole.
      When using Assume Role authentication, ensure you provide the following details:
      • AWS Region: Specify the AWS region for your deployment.
      • Assume Role ARN: Provide the ARN of the role in your AWS account that OpenMetadata will assume.
      • 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 AssumeRole operation. You can use source identity information in AWS CloudTrail logs to determine who took actions with a role. Find more information about Source Identity.
  • 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. 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 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. 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 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.
SSL Configuration

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.