Jim Carroll created SPARK-4386:
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Summary: 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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