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https://issues.apache.org/jira/browse/SPARK-4386?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14211271#comment-14211271
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Apache Spark commented on SPARK-4386:
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User 'jimfcarroll' has created a pull request for this issue:
https://github.com/apache/spark/pull/3254
> Parquet file write performance improvement
> ------------------------------------------
>
> Key: SPARK-4386
> URL: https://issues.apache.org/jira/browse/SPARK-4386
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.2.0
> Reporter: Jim Carroll
>
> If you profile the writing of a Parquet file, the single worst time consuming
> call inside of org.apache.spark.sql.parquet.MutableRowWriteSupport.write is
> actually in the scala.collection.AbstractSequence.size call. This is because
> the size call actually ends up COUNTING the elements in a
> scala.collection.LinearSeqOptimized ("optimized?").
> This doesn't need to be done. "size" is called repeatedly where needed rather
> than called once at the top of the method and stored in a 'val'. I have a PR
> for this.
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