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https://issues.apache.org/jira/browse/SPARK-12081?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15035219#comment-15035219
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Andrew Or commented on SPARK-12081:
-----------------------------------

The patch took approach (1)

> Make unified memory management work with small heaps
> ----------------------------------------------------
>
>                 Key: SPARK-12081
>                 URL: https://issues.apache.org/jira/browse/SPARK-12081
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.6.0
>            Reporter: Andrew Or
>            Assignee: Andrew Or
>            Priority: Critical
>             Fix For: 1.6.0
>
>
> By default, Spark drivers and executors are 1GB. With the recent unified 
> memory mode, only 250MB is set aside for non-storage non-execution purposes 
> (spark.memory.fraction is 75%). However, especially in local mode, the driver 
> needs at least ~300MB. Some local jobs started to OOM because of this.
> Two mutually exclusive proposals:
> (1) First, cut out 300 MB, then take 75% of what remains
> (2) Use min(75% of JVM heap size, JVM heap size - 300MB)



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