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https://issues.apache.org/jira/browse/SPARK-10342?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14940524#comment-14940524
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Davies Liu commented on SPARK-10342:
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This will be used internal for SQL. For example, aggregation and
sort-merge-join both will acquire large page to do in-memory aggregation or
sorting, one could use most of the memory, then the other once can't have
enough memory to work. Currently, each operator will preserve a page to make
sure that they can start (could have to work with the only one page). The
better solution could be, when one operator (for example aggregation) need more
memory, other operators could be notified to release some memory by spilling.
This could improve the memory utilization (don't need to preserve a page
anymore) and void OOM.
> Cooperative memory management
> -----------------------------
>
> Key: SPARK-10342
> URL: https://issues.apache.org/jira/browse/SPARK-10342
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core, SQL
> Affects Versions: 1.5.0
> Reporter: Davies Liu
> Priority: Critical
>
> We have memory starving problems for a long time, it become worser in 1.5
> since we use larger page.
> In order to increase the memory usage (reduce unnecessary spilling) also
> reduce the risk of OOM, we should manage the memory in a cooperative way, it
> means all the memory consume should be also responsive to release memory
> (spilling) upon others' requests.
> The requests of memory could be different, hard requirement (will crash if
> not allocated) or soft requirement (worse performance if not allocated). Also
> the costs of spilling are also different. We could introduce some kind of
> priority to make them work together better.
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