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https://issues.apache.org/jira/browse/FLINK-10473?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrey Zagrebin updated FLINK-10473:
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Description: This feature enables lazy background cleanup of state with
time-to-live in state keyed backend which stores state in JVM heap. The idea is
to keep a global state lazy iterator with loose consistency. Every time a state
value for some key is accessed or a record is processed, the iterator is
advanced, TTL of iterated state entries is checked and the expired entries are
cleaned up. When the iterator reaches the end of state storage it just starts
over. This way the state with TTL is regularly cleaned up to prevent ever
growing memory consumption. The caveat of this cleanup strategy is that if
state is not accessed or no records are processed then accumulated expired
state still occupies the storage.
> State TTL incremental cleanup using Heap backend key iterator
> -------------------------------------------------------------
>
> Key: FLINK-10473
> URL: https://issues.apache.org/jira/browse/FLINK-10473
> Project: Flink
> Issue Type: New Feature
> Components: State Backends, Checkpointing
> Affects Versions: 1.7.0
> Reporter: Andrey Zagrebin
> Assignee: Andrey Zagrebin
> Priority: Major
> Fix For: 1.7.0
>
>
> This feature enables lazy background cleanup of state with time-to-live in
> state keyed backend which stores state in JVM heap. The idea is to keep a
> global state lazy iterator with loose consistency. Every time a state value
> for some key is accessed or a record is processed, the iterator is advanced,
> TTL of iterated state entries is checked and the expired entries are cleaned
> up. When the iterator reaches the end of state storage it just starts over.
> This way the state with TTL is regularly cleaned up to prevent ever growing
> memory consumption. The caveat of this cleanup strategy is that if state is
> not accessed or no records are processed then accumulated expired state still
> occupies the storage.
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