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https://issues.apache.org/jira/browse/SPARK-5863?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14375229#comment-14375229
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Patrick Wendell commented on SPARK-5863:
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This seems worth potentially fixing in 1.3.1, so I added that. I think it will
depend how surgical the fix is.
> Improve performance of convertToScala codepath.
> -----------------------------------------------
>
> Key: SPARK-5863
> URL: https://issues.apache.org/jira/browse/SPARK-5863
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.2.0, 1.2.1
> Reporter: Cristian
> Priority: Critical
>
> Was doing some perf testing on reading parquet files and noticed that moving
> from Spark 1.1 to 1.2 the performance is 3x worse. In the profiler the
> culprit showed up as being in ScalaReflection.convertRowToScala.
> Particularly this zip is the issue:
> {code}
> r.toSeq.zip(schema.fields.map(_.dataType))
> {code}
> I see there's a comment on that currently that this is slow but it wasn't
> fixed. This actually produces a 3x degradation in parquet read performance,
> at least in my test case.
> Edit: the map is part of the issue as well. This whole code block is in a
> tight loop and allocates a new ListBuffer that needs to grow for each
> transformation. A possible solution is to change to using seq.view which
> would allocate iterators instead.
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