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Posted to issues@spark.apache.org by "Kazuaki Ishizaki (JIRA)" <ji...@apache.org> on 2017/03/21 19:10:42 UTC

[jira] [Created] (SPARK-20046) Facilitate loop optimizations in a JIT compiler regarding sqlContext.read.parquet()

Kazuaki Ishizaki created SPARK-20046:
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             Summary: Facilitate loop optimizations in a JIT compiler regarding sqlContext.read.parquet()
                 Key: SPARK-20046
                 URL: https://issues.apache.org/jira/browse/SPARK-20046
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.2.0
            Reporter: Kazuaki Ishizaki


[This article|https://databricks.com/blog/2017/02/16/processing-trillion-rows-per-second-single-machine-can-nested-loop-joins-fast.html] suggests that better generated code can improve performance by facilitating compiler optimizations.
This JIRA changes the generated code for {{sqlContext.read.parquet("file")}} to facilitate loop optimizations in a JIT compiler for achieving better performance. In particular, [this stackoverflow entry|http://stackoverflow.com/questions/40629435/fast-parquet-row-count-in-spark] suggests me to improve performance of {{sqlContext.read.parquet("file").count}}}.





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