Joey Pereira created FLINK-21321:
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Summary: Change RocksDB incremental checkpoint re-scaling to use deleteRange
Key: FLINK-21321
URL:
https://issues.apache.org/jira/browse/FLINK-21321 Project: Flink
Issue Type: Improvement
Components: Runtime / State Backends
Reporter: Joey Pereira
In FLINK-8790, it was suggested to use RocksDB's {{deleteRange}} API to more efficiently clip the databases for the desired target group.
During the PR for that ticket, [#5582|
https://github.com/apache/flink/pull/5582], the change did not end up using the {{deleteRange}} method as it was an experimental feature in RocksDB.
At this point {{deleteRange}} is in a far less experimental state now but I believe is still formally "experimental". It is heavily by many others like CockroachDB and TiKV and they have teased out several bugs in complex interactions over the years.
For certain re-scaling situations where restores trigger {{restoreWithScaling}} and the DB clipping logic, this would likely reduce an O(n) operation (N = state size/records) to O(1). For large state apps, this would potentially represent a non-trivial amount of time spent for re-scaling. In the case of my workplace, we have an operator with 100s of billions of records in state and re-scaling was taking a long time (>>30min, but it has been awhile since doing it).
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