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https://issues.apache.org/jira/browse/FLINK-4120?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17329830#comment-17329830
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Flink Jira Bot commented on FLINK-4120:
---------------------------------------
This issue has been labeled "stale-minor" for 7 days. It is closed now. If you
are still affected by this or would like to raise the priority of this ticket
please re-open, removing the label "auto-closed" and raise the ticket priority
accordingly.
> Lightweight fault tolerance through recomputing lost state
> ----------------------------------------------------------
>
> Key: FLINK-4120
> URL: https://issues.apache.org/jira/browse/FLINK-4120
> Project: Flink
> Issue Type: New Feature
> Components: Runtime / State Backends
> Reporter: Dénes Vadász
> Priority: Minor
> Labels: stale-minor
>
> The current fault tolerance mechanism requires that stateful operators write
> their internal state to stable storage during a checkpoint.
> This proposal aims at optimizing out this operation in the cases where the
> operator state can be recomputed from a finite (practically: small) set of
> source records, and those records are already on checkpoint-aware persistent
> storage (e.g. in Kafka).
> The rationale behind the proposal is that the cost of reprocessing is paid
> only on recovery from (presumably rare) failures, whereas the cost of
> persisting the state is paid on every checkpoint. Eliminating the need for
> persistent storage will also simplify system setup and operation.
> In the cases where this optimisation is applicable, the state of the
> operators can be restored by restarting the pipeline from a checkpoint taken
> before the pipeline ingested any of the records required for the state
> re-computation of the operators (call this the "null-state checkpoint"), as
> opposed to a restart from the "latest checkpoint".
> The "latest checkpoint" is still relevant for the recovery: the barriers
> belonging to that checkpoint must be inserted into the source streams in the
> position they were originally inserted. Sinks must discard all records until
> this barrier reaches them.
> Note the inherent relationship between the "latest" and the "null-state"
> checkpoints: the pipeline must be restarted from the latter to restore the
> state at the former.
> For the stateful operators for which this optimization is applicable we can
> define the notion of "current null-state watermark" as the watermark such
> that the operator can correctly (re)compute its current state merely from
> records after this watermark.
>
> For the checkpoint-coordinator to be able to compute the null-state
> checkpoint, each stateful operator should report its "current null-state
> watermark" as part of acknowledging the ongoing checkpoint. The null-state
> checkpoint of the ongoing checkpoint is the most recent checkpoint preceding
> all the received null-state watermarks (assuming the pipeline preserves the
> relative order of barriers and watermarks).
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