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thanks, merging to master!
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LGTM except a few minor comment, please update the PR title and
description, thanks!
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Good idea. We will introduce the new config independent of
`spark.memory.offHeap.enabled`.
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after some more thoughts, I think we should not rely on
`spark.memory.offHeap.enabled`. The reason is that: 1) `OffHeapColumnVector`
may have performance regression, users may want off-heap
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Jenkins, retest this please
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ping @kiszk
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I will rebase this with the latest.
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Is this good to merge? @cloud-fan @kiszk
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retest this please
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@cloud-fan To be honest, I may capture only some of the dead points of the
iterator. Now, I cannot imagine other cases.
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When shall we free a column vector? One is when the iterator is consumed
up, another one is when we have a `LIMIT n` in the query and stop reading the
iterator at some point. Is there any other
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@sameeragarwal @cloud-fan could you review this except `SparkConf.scala`
while there are four failures. They are not regressions.
This is because `SparkConf.scala` is changed for tentatively
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jenkins, retest this please
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