- Requirements
- Metadata Ingestion
- Data Profiler
- Data Quality
- dbt Integration
- Enable Security
- Data Lineage
- Troubleshooting
Requirements
Before configuring the MySQL connector, make sure the following requirements are in place.Metadata
OpenMetadata supports MySQL (version 8.0.42 or greater). The user must have access to theINFORMATION_SCHEMA table. By default, a user can see only the rows in the INFORMATION_SCHEMA that correspond to objects for which the user has the proper access privileges.
Lineage & Usage
To extract lineage & usage, enable query logging in MySQL. By default, OpenMetadata reads frommysql.general_log, so the connection user needs SELECT access on mysql.general_log. If you enable useSlowLogs, OpenMetadata reads from mysql.slow_log instead, so the same user needs SELECT access on mysql.slow_log.
Log Table Management
Themysql.general_log table grows continuously as it stores query logs. This can consume significant storage space over time and affect the execution time of lineage and usage procedures.
- Note: We recommend cleaning up log tables only after successful execution of Usage & Lineage workflows to ensure no loss of query data during extraction. Once cleanup occurs, the query history is lost. Here are some important considerations and best practices:
Create Manual Schedule to Rotate Logs
When you rotate log tables manually, the current log table is copied to a backup log table and the entries in the current log table are removed. If the backup log table already exists, then it is deleted before the current log table is copied to the backup. You can query the backup log table if needed. The backup log table for themysql.general_log table is named mysql.general_log_backup.
The backup log table for the mysql.slow_log table is named mysql.slow_log_backup.
Create Automatic Event to Clear Older Logs
You can also create an automatic event like the one shown below, which runs every week to clear older logs.mysql.general_log table manually by calling the mysql.rds_rotate_general_log procedure. You can rotate the mysql.slow_log table by calling the mysql.rds_rotate_slow_log procedure.
You can also check the docs below for more info on logs and their rotation methods:
- Rotating mysql query logs
- RDS for MySQL database logs
- Aurora for MySQL database logs Best Practices:
- Monitor log table size regularly
- Implement a log rotation schedule
- Consider automating log cleanup after DAG execution
- Keep logging enabled only when needed for lineage extraction
Profiler & Data Quality
Executing the profiler workflow or data quality tests will require the user to haveSELECT 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
To ingest metadata from MySQL, you need to create a service connection. The service connects MySQL 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 MySQL 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 MySQL 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 MySQL. The right-hand panel in the UI displays inline help for each field.
- Username: Specify the User to connect to MySQL. It should have enough privileges to read all the metadata.
- Auth Type: Basic Auth, IAM based auth, or Azure auth.
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Basic Auth:
- Password: Password to connect to MySQL.
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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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Azure Auth:
- Scopes: Required. Provide the scope or comma-separated scopes used to fetch the Azure access token, for example
https://ossrdbms-aad.database.windows.net/.default. - Client ID, Client Secret, and Tenant ID: Optional when using a service principal. If you do not provide them, OpenMetadata falls back to
DefaultAzureCredentialfrom the runtime environment. - Account Name and Vault Name: Part of the shared Azure credentials schema, but not required for MySQL token-based authentication.
- Scopes: Required. Provide the scope or comma-separated scopes used to fetch the Azure access token, for example
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Basic Auth:
- Host and Port: Enter the fully qualified hostname and port number for your MySQL deployment in the Host and Port field.
- databaseName: Optional name to give to the database in OpenMetadata. If left blank, we will use default as the database name.
- databaseSchema: databaseSchema of the data source. This is optional parameter, if you would like to restrict the metadata reading to a single databaseSchema. When left blank, OpenMetadata Ingestion attempts to scan all the databaseSchema.
- caCertificate: Provide the path to ssl ca file.
- sslCertificate: Provide the path to ssl client certificate file (ssl_cert).
- sslKey: Provide the path to ssl client certificate file (ssl_key).
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 MySQL Connection with SSL in OpenMetadata
To establish secure connections between OpenMetadata and MySQL, navigate to theAdvanced Config section. Here, you can provide the CA certificate used for SSL validation by specifying the caCertificate. Alternatively, if both client and server require mutual authentication, you’ll need to use all three parameters: ssl_key, ssl_cert, and ssl_ca. In this case, ssl_cert is used for the client’s SSL certificate, ssl_key for the private key associated with the SSL certificate, and ssl_ca for the CA certificate to validate the server’s certificate.

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.