GitLab connector is available in Lakeflow Connect
Ingest repository, project, group, and CI/CD data from GitLab directly into Databricks with the new managed connector.
O que mudou
Use cases
Imagine you need to centralize development metrics, CI/CD pipeline data, and security information from GitLab alongside your analytical data. With the managed GitLab connector in Lakeflow Connect, you can:
- Ingest repository, group, project, CI/CD, and security data into Databricks.
- Run incremental ingestion automatically.
- Govern your data directly using Unity Catalog.
How to use
Initial setup and pipeline creation use Catalog Explorer and supported Lakeflow Connect interfaces. A workspace admin must first enable the feature from the Previews page and configure OAuth U2M authentication.
Limitations and requirements
- This feature is in Beta.
- Requires a workspace admin to turn on Lakeflow Connect for GitLab from the Previews page.
- Supports only OAuth U2M authentication (OAuth M2M and basic authentication are not supported).
- Tables with
VARIANTcolumns do not support SCD Type 2. - Automated schema evolution supports new and deleted columns, but data type changes and column renames are not supported (they require a full refresh).
- API-based row filtering is not supported.
- lakeflow connect
- gitlab
- ingestion
- unity catalog
- pipeline
GitLab connector is available in Beta
Resumo e explicação gerados por IA a partir da release note oficial. Em caso de dúvida, a documentação oficial da plataforma prevalece.
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