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https://issues.apache.org/jira/browse/SPARK-23964?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thomas Graves updated SPARK-23964:
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Description:
The spillable class has a check:
if (elementsRead % 32 == 0 && currentMemory >= myMemoryThreshold) {
Before it looks to see if it should spill.
[https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/util/collection/Spillable.scala#L83]
I'm wondering why it has the elementsRead %32 in it? If I have a small number
of elements that are huge this can easily cause OOM before we actually spill.
I saw a few conversations on this and one Jira related:
https://issues.apache.org/jira/browse/SPARK-4456 . but I've never seen an
answer to this.
anyone have history on this?
> why does Spillable wait for 32 elements?
> ----------------------------------------
>
> Key: SPARK-23964
> URL: https://issues.apache.org/jira/browse/SPARK-23964
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.2.1
> Reporter: Thomas Graves
> Priority: Major
>
> The spillable class has a check:
> if (elementsRead % 32 == 0 && currentMemory >= myMemoryThreshold) {
> Before it looks to see if it should spill.
> [https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/util/collection/Spillable.scala#L83]
> I'm wondering why it has the elementsRead %32 in it? If I have a small
> number of elements that are huge this can easily cause OOM before we actually
> spill.
> I saw a few conversations on this and one Jira related:
> https://issues.apache.org/jira/browse/SPARK-4456 . but I've never seen an
> answer to this.
> anyone have history on this?
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