Github user suyanNone commented on the pull request:
https://github.com/apache/spark/pull/6586#issuecomment-108327805
@srowen if it just to adjust memoryoverhead arg, it will customized for
every different application or even if the data increases day by day, may it
will change again.
How about slice on the Bytebuffer, to ensure the direct buffer pool be more
controllable.
something like:
while(condition){
channel.write(64MB)
}
it will ensure the direct buffer pool not larger than 64MB * 3
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