[
https://issues.apache.org/jira/browse/SPARK-20046?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-20046:
------------------------------------
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}}}.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
