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Home/Connectors/Database/Db 2/Yaml
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In this section, we provide guides and references to use the DB2 connector.

Configure and schedule DB2 metadata and profiler workflows from the OpenMetadata UI:

How to Run the Connector Externally

To run the Ingestion via the UI you'll need to use the OpenMetadata Ingestion Container, which comes shipped with custom Airflow plugins to handle the workflow deployment.

If, instead, you want to manage your workflows externally on your preferred orchestrator, you can check the following docs to run the Ingestion Framework anywhere.

External Schedulers

Get more information about running the Ingestion Framework Externally

Requirements

To create a new Db2 user please follow the guidelines mentioned here

Db2 user must have the below permissions to ingest the metadata:

  • SELECT privilege on SYSCAT.SCHEMATA to fetch the metadata of schemas.
  • SELECT privilege on SYSCAT.TABLES to fetch the metadata of tables.
  • SELECT privilege on SYSCAT.VIEWS to fetch the metadata of views.

Profiler & Data Quality

Executing the profiler workflow or data quality tests, will require the user to have SELECT 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.

Python Requirements

We have support for Python versions 3.8-3.11

To run the DB2 ingestion, you will need to install:

Metadata Ingestion

All connectors are defined as JSON Schemas. Here you can find the structure to create a connection to DB2.

In order to create and run a Metadata Ingestion workflow, we will follow the steps to create a YAML configuration able to connect to the source, process the Entities if needed, and reach the OpenMetadata server.

The workflow is modeled around the following JSON Schema

1. Define the YAML Config

This is a sample config for DB2:

Source Configuration - Service Connection

username: Specify the User to connect to DB2. It should have enough privileges to read all the metadata.

password: Password to connect to DB2.

hostPort: Enter the fully qualified hostname and port number for your DB2 deployment in the Host and Port field.

database: Database of the data source.

license: Contents of your license file if applicable, make sure to replace new lines with \n before pasting it here.

licenseFileName: License file name in case the license is required for connection.

Source Configuration - Source Config

The sourceConfig is defined here:

markDeletedTables: To flag tables as soft-deleted if they are not present anymore in the source system.

markDeletedStoredProcedures: Optional configuration to soft delete stored procedures in OpenMetadata if the source stored procedures are deleted. Also, if the stored procedures is deleted, all the associated entities like lineage, etc., with that stored procedures will be deleted.

includeTables: true or false, to ingest table data. Default is true.

includeViews: true or false, to ingest views definitions.

includeTags: Optional configuration to toggle the tags ingestion.

includeOwners: Set the 'Include Owners' toggle to control whether to include owners to the ingested entity if the owner email matches with a user stored in the OM server as part of metadata ingestion. If the ingested entity already exists and has an owner, the owner will not be overwritten.

includeStoredProcedures: Optional configuration to toggle the Stored Procedures ingestion.

includeDDL: Optional configuration to toggle the DDL Statements ingestion.

queryLogDuration: Configuration to tune how far we want to look back in query logs to process Stored Procedures results.

queryParsingTimeoutLimit: Configuration to set the timeout for parsing the query in seconds.

useFqnForFiltering: Regex will be applied on fully qualified name (e.g service_name.db_name.schema_name.table_name) instead of raw name (e.g. table_name).

databaseFilterPattern, schemaFilterPattern, tableFilterPattern: Note that the filter supports regex as include or exclude. You can find examples here

threads (beta): The number of threads to use when extracting the metadata using multithreading. Please take a look here before configuring this.

incremental (beta): Incremental Extraction configuration. Currently implemented for:

Sink Configuration

To send the metadata to OpenMetadata, it needs to be specified as type: metadata-rest.

Workflow Configuration

The main property here is the openMetadataServerConfig, where you can define the host and security provider of your OpenMetadata installation.

Logger Level

You can specify the loggerLevel depending on your needs. If you are trying to troubleshoot an ingestion, running with DEBUG will give you far more traces for identifying issues.

JWT Token

JWT tokens will allow your clients to authenticate against the OpenMetadata server. To enable JWT Tokens, you will get more details here.

You can refer to the JWT Troubleshooting section link for any issues in your JWT configuration.

Store Service Connection

If set to true (default), we will store the sensitive information either encrypted via the Fernet Key in the database or externally, if you have configured any Secrets Manager.

If set to false, the service will be created, but the service connection information will only be used by the Ingestion Framework at runtime, and won't be sent to the OpenMetadata server.

Store Service Connection

If set to true (default), we will store the sensitive information either encrypted via the Fernet Key in the database or externally, if you have configured any Secrets Manager.

If set to false, the service will be created, but the service connection information will only be used by the Ingestion Framework at runtime, and won't be sent to the OpenMetadata server.

SSL Configuration

If you have added SSL to the OpenMetadata server, then you will need to handle the certificates when running the ingestion too. You can either set verifySSL to ignore, or have it as validate, which will require you to set the sslConfig.caCertificate with a local path where your ingestion runs that points to the server certificate file.

Find more information on how to troubleshoot SSL issues here.

Advanced Configuration

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 to database during the connection. These details must be added as Key-Value pairs.

  • In case you are using Single-Sign-On (SSO) for authentication, add the authenticator details in the Connection Arguments as a Key-Value pair as follows: "authenticator" : "sso_login_url"
filename.yaml
2. Run with the CLI
First, we will need to save the YAML file. Afterward, and with all requirements installed, we can run:
Note that from connector to connector, this recipe will always be the same. By updating the YAML configuration, you will be able to extract metadata from different sources.
Data Profiler
The Data Profiler workflow will be using the orm-profiler processor.
After running a Metadata Ingestion workflow, we can run the Data Profiler workflow. While the serviceName will be the same to that was used in Metadata Ingestion, so the ingestion bot can get the serviceConnection details from the server.
1. Define the YAML Config
This is a sample config for the profiler:
Source Configuration - Source Config
You can find all the definitions and types for the  sourceConfig here.
profileSample: Percentage of data or no. of rows we want to execute the profiler and tests on.
threadCount: Number of threads to use during metric computations.
timeoutSeconds: Profiler Timeout in Seconds
databaseFilterPattern: Regex to only fetch databases that matches the pattern.
schemaFilterPattern: Regex to only fetch tables or databases that matches the pattern.
tableFilterPattern: Regex to only fetch tables or databases that matches the pattern.
Processor Configuration
Choose the orm-profiler. Its config can also be updated to define tests from the YAML itself instead of the UI:
tableConfig: tableConfig allows you to set up some configuration at the table level.
Sink Configuration
To send the metadata to OpenMetadata, it needs to be specified as type: metadata-rest.
Workflow Configuration
The main property here is the openMetadataServerConfig, where you can define the host and security provider of your OpenMetadata installation.
Logger Level
You can specify the loggerLevel depending on your needs. If you are trying to troubleshoot an ingestion, running with DEBUG will give you far more traces for identifying issues.
JWT Token
JWT tokens will allow your clients to authenticate against the OpenMetadata server. To enable JWT Tokens, you will get more details here.
You can refer to the JWT Troubleshooting section link for any issues in your JWT configuration.
Store Service Connection
If set to true (default), we will store the sensitive information either encrypted via the Fernet Key in the database or externally, if you have configured any Secrets Manager.
If set to false, the service will be created, but the service connection information will only be used by the Ingestion Framework at runtime, and won't be sent to the OpenMetadata server.
Store Service Connection
If set to true (default), we will store the sensitive information either encrypted via the Fernet Key in the database or externally, if you have configured any Secrets Manager.
If set to false, the service will be created, but the service connection information will only be used by the Ingestion Framework at runtime, and won't be sent to the OpenMetadata server.
SSL Configuration
If you have added SSL to the OpenMetadata server, then you will need to handle the certificates when running the ingestion too. You can either set verifySSL to ignore, or have it as validate, which will require you to set the sslConfig.caCertificate with a local path where your ingestion runs that points to the server certificate file.
Find more information on how to troubleshoot SSL issues here.
filename.yaml
  • You can learn more about how to configure and run the Profiler Workflow to extract Profiler data and execute the Data Quality from here
2. Run with the CLI
After saving the YAML config, we will run the command the same way we did for the metadata ingestion:
Note now instead of running ingest, we are using the profile command to select the Profiler workflow.
Data Profiler
Find more information about the Data Profiler here
Auto Classification
The Auto Classification workflow will be using the orm-profiler processor.
After running a Metadata Ingestion workflow, we can run the Auto Classification workflow. While the serviceName will be the same to that was used in Metadata Ingestion, so the ingestion bot can get the serviceConnection details from the server.
1. Define the YAML Config
This is a sample config for the Auto Classification Workflow:
Source Configuration - Source Config
You can find all the definitions and types for the  sourceConfig here.
storeSampleData: Option to turn on/off storing sample data. If enabled, we will ingest sample data for each table.
enableAutoClassification: Optional configuration to automatically tag columns that might contain sensitive information.
confidence: Set the Confidence value for which you want the column to be tagged as PII. Confidence value ranges from 0 to 100. A higher number will yield less false positives but more false negatives. A lower number will yield more false positives but less false negatives.
databaseFilterPattern: Regex to only fetch databases that matches the pattern.
schemaFilterPattern: Regex to only fetch tables or databases that matches the pattern.
tableFilterPattern: Regex to only fetch tables or databases that matches the pattern.
Processor Configuration
Choose the orm-profiler. Its config can also be updated to define tests from the YAML itself instead of the UI:
tableConfig: tableConfig allows you to set up some configuration at the table level.
Sink Configuration
To send the metadata to OpenMetadata, it needs to be specified as type: metadata-rest.
Workflow Configuration
The main property here is the openMetadataServerConfig, where you can define the host and security provider of your OpenMetadata installation.
Logger Level
You can specify the loggerLevel depending on your needs. If you are trying to troubleshoot an ingestion, running with DEBUG will give you far more traces for identifying issues.
JWT Token
JWT tokens will allow your clients to authenticate against the OpenMetadata server. To enable JWT Tokens, you will get more details here.
You can refer to the JWT Troubleshooting section link for any issues in your JWT configuration.
Store Service Connection
If set to true (default), we will store the sensitive information either encrypted via the Fernet Key in the database or externally, if you have configured any Secrets Manager.
If set to false, the service will be created, but the service connection information will only be used by the Ingestion Framework at runtime, and won't be sent to the OpenMetadata server.
Store Service Connection
If set to true (default), we will store the sensitive information either encrypted via the Fernet Key in the database or externally, if you have configured any Secrets Manager.
If set to false, the service will be created, but the service connection information will only be used by the Ingestion Framework at runtime, and won't be sent to the OpenMetadata server.
SSL Configuration
If you have added SSL to the OpenMetadata server, then you will need to handle the certificates when running the ingestion too. You can either set verifySSL to ignore, or have it as validate, which will require you to set the sslConfig.caCertificate with a local path where your ingestion runs that points to the server certificate file.
Find more information on how to troubleshoot SSL issues here.
filename.yaml
2. Run with the CLI
After saving the YAML config, we will run the command the same way we did for the metadata ingestion:
Note now instead of running ingest, we are using the classify command to select the Auto Classification workflow.
Data Quality
Adding Data Quality Test Cases from yaml config
When creating a JSON config for a test workflow the source configuration is very simple.
The only sections you need to modify here are the serviceName (this name needs to be unique) and entityFullyQualifiedName (the entity for which we'll be executing tests against) keys.
Once you have defined your source configuration you'll need to define te processor configuration.
The processor type should be set to  "orm-test-runner". For accepted test definition names and parameter value names refer to the tests page.
You can keep your YAML config as simple as follows if the table already has tests.
Key reference:
  • forceUpdate: if the test case exists (base on the test case name) for the entity, implements the strategy to follow when running the test (i.e. whether or not to update parameters)
  • testCases: list of test cases to add to the entity referenced. Note that we will execute all the tests present in the Table.
  • name: test case name
  • testDefinitionName: test definition
  • columnName: only applies to column test. The name of the column to run the test against
  • parameterValues: parameter values of the test
The sink and workflowConfig will have the same settings as the ingestion and profiler workflow.
Full  yaml config example
How to Run Tests
To run the tests from the CLI execute the following command
dbt Integration
dbt Integration
Learn more about how to ingest dbt models' definitions and their lineage.