What is a log based pipeline?
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.
Hevo supports a variety of log based pipelines which are listed below:
- A MySQL source configured using BinLog mode
- A PostgreSQL source configured using Logical Replication Mode
- A DynamoDB source with `Load Historical data` selected
- A MongoDB source configured using either Change Stream or OpLog Mode
- An Aurora source with `Load Historical data` selected
- A SQL Server with individual jobs configured with `Change Tracking` as the query mode.
Consequences of pausing a log based pipeline:
Each log has a retention period associated with it which specifies the duration a log is maintained before it is automatically deleted. Pausing a pipeline pauses the process of ingestion. Pausing a log based pipeline for long durations may lead to data loss as a result of the log being deleted due to expiry of its retention period. Therefore, such an action can potentially lead to loss of data as a result of ingestion being halted.
Please note that the same applies to individual jobs configured with change tracking in the case of a SQL server source.