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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/03 08:25:00 UTC

[jira] [Resolved] (SPARK-27615) Merge small files in the read stage

     [ https://issues.apache.org/jira/browse/SPARK-27615?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-27615.
----------------------------------
    Resolution: Not A Problem

> Merge small files in the read stage
> -----------------------------------
>
>                 Key: SPARK-27615
>                 URL: https://issues.apache.org/jira/browse/SPARK-27615
>             Project: Spark
>          Issue Type: New Feature
>          Components: Spark Core
>    Affects Versions: 2.4.0
>            Reporter: weDataSphere
>            Priority: Major
>
> When Spark reads file paths to form RDDs, the more files there are, the more partitions there will be. RDD partition can improve computing speed to a certain extent, but too much parity will lead to too much Task scheduling speed reduction, and generate more files.
> We can reduce the number of partitions by judging whether a file can be merged during Spark reading and, if so, merged reading.



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