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https://issues.apache.org/jira/browse/SPARK-48694?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-48694:
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Labels: pull-request-available (was: )
> Manage memory used by external cache
> ------------------------------------
>
> Key: SPARK-48694
> URL: https://issues.apache.org/jira/browse/SPARK-48694
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 3.3.1, 3.4.0, 3.5.1
> Reporter: Yan Ma
> Priority: Critical
> Labels: pull-request-available
>
> We have a scenario that use Spark together with a 3rd party file source
> cache, which is an independent lib and has its internal logic for cache entry
> creation, eviction and remove. Currently we allocate dedicated memory for
> this cache but the problem is that the memory can't be shared along with
> Spark execution/storage memory. It will be more effective for memory usage if
> we can count it in the _*UnifiedMemoryManager*_ and include it in memory
> spill logic.
> We also have a requirement of memory management for a native RDD cache
> implementation. The existing interfaces in _*MemoryStore*_ is generally bound
> with Spark SerializerManager and BlockEvictionHandler. It's not easy to
> extend for such customized RDD cache.
> For both of above requirements, we can provide a common memory register for
> external memory usage, beyond current RDD cache in storage memory.
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