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TikTok Ads connector limitations

Beta

This feature is in Beta. Workspace admins can control access to this feature from the Previews page. See Manage Databricks previews.

The managed TikTok Ads connector in Lakeflow Connect has the following limitations:

  • When you run a scheduled pipeline, alerts don't trigger immediately. Instead, they trigger when the next update runs.
  • When a source table is deleted, the destination table is not automatically deleted. You must delete the destination table manually. This behavior is not consistent with Lakeflow Spark Declarative Pipelines behavior.
  • During source maintenance periods, Databricks might not be able to access your data.
  • If a source table name conflicts with an existing destination table name, the pipeline update fails.
  • Multi-destination pipeline support is API-only.
  • You can optionally rename a table that you ingest. If you rename a table in your pipeline, it becomes an API-only pipeline, and you can no longer edit the pipeline in the UI.
  • Column-level selection and deselection are API-only.
  • If you select a column after a pipeline has already started, the connector does not automatically backfill data for the new column. To ingest historical data, manually run a full refresh on the table.
  • Databricks can't ingest two or more tables with the same name in the same pipeline, even if they come from different source schemas.
  • The source system assumes that the cursor columns are monotonically increasing.
  • With SCD type 1 enabled, deletes don't produce an explicit delete event in the change data feed. For auditable deletions, use SCD type 2 if the connector supports it. For details, see Example: SCD type 1 and SCD type 2 processing with CDF source data.
  • The connector ingests raw data without transformations. Use downstream Lakeflow Spark Declarative Pipelines pipelines for transformations.
  • Some tables don't support incremental ingestion because the API doesn't support filtering based on a cursor. These tables are refreshed on each pipeline update. For a list of tables that support incremental ingestion, see Tables that support incremental updates.
  • The connector only supports ingestion of BASIC reports.
  • SKAN metrics aren't supported for lifetime reports.