trait PrunableByTime extends AnyRef
Interface for a store that allows pruning and keeps track of when pruning has started and finished.
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- abstract def advancePruningTimestamp(phase: PruningPhase, timestamp: CantonTimestamp)(implicit traceContext: TraceContext): Future[Unit]
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- protected[canton]
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- @VisibleForTesting()
- abstract def doPrune(limit: CantonTimestamp, lastPruning: Option[CantonTimestamp])(implicit traceContext: TraceContext): Future[Int]
Actual invocation of doPrune
Actual invocation of doPrune
- returns
the approximate number of pruned rows, used to adjust the pruning windows to reach optimal batch sizes
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- abstract def pruningStatus(implicit traceContext: TraceContext): Future[Option[PruningStatus]]
Returns the latest timestamp at which pruning was started or completed.
Returns the latest timestamp at which pruning was started or completed. For com.digitalasset.canton.pruning.PruningPhase.Started, it is guaranteed that no pruning has been run on the store after the returned timestamp. For com.digitalasset.canton.pruning.PruningPhase.Completed, it is guaranteed that the store is pruned at least up to the returned timestamp (inclusive). That is, another pruning with the returned timestamp (or earlier) has no effect on the store. Returns scala.None$ if no pruning has ever been started on the store.
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- def batchingParameters: Option[PrunableByTimeParameters]
Parameters to control prune batching
Parameters to control prune batching
If defined, then the pruning window will be computed such that it targets the ideal target batch size in order to optimize the load on the database.
This is currently used with the journal stores. Normal pruning of other stores already does batching on its own.
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- final def prune(limit: CantonTimestamp)(implicit errorLoggingContext: ErrorLoggingContext, closeContext: CloseContext): Future[Unit]
Prune all unnecessary data relating to events before the given timestamp.
Prune all unnecessary data relating to events before the given timestamp.
The meaning of "unnecessary", and whether the limit is inclusive or exclusive both depend on the particular store. The store must implement the actual pruning logic in the doPrune method.
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