Log-based Pipelines

A log-based Pipeline moves data from a Source to a Destination by trimming through logs which consist of Events describing changes made to a database, wherein data is ingested at a fixed interval.

These logs are generally maintained for replication or recovery of data.

You must select the appropriate Pipeline mode depending on the Source type to create a log-based Pipeline:

• A MySQL Source configured using BinLog mode.
• A PostgreSQL Source configured using Logical replication mode.
• An Amazon DynamoDB Source using Streams.
• A MongoDB Source configured using either Change Stream or OpLog mode.
• An Amazon Aurora Source configured using BinLog mode.
• A SQL Server with individual jobs configured with `Change Tracking` as the query mode or the Change Tracking Pipeline mode.
• An Oracle Source configured using Redo Logs mode.

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See Also

• Data Loss Prevention

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• Articles in this section
  • Pausing a Log-based Pipeline
  • Handling Deletes in Log-based Pipelines