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

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-20046?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-20046:
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    Assignee: Apache Spark

> 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: Improvement
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Kazuaki Ishizaki
>            Assignee: Apache Spark
>
> [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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