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Posted to issues@spark.apache.org by "Matthias Wolf (JIRA)" <ji...@apache.org> on 2018/07/19 08:14:00 UTC

[jira] [Commented] (SPARK-23997) Configurable max number of buckets

    [ https://issues.apache.org/jira/browse/SPARK-23997?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16548974#comment-16548974 ] 

Matthias Wolf commented on SPARK-23997:
---------------------------------------

Is there any issue with having this limit configurable? We save large amounts of data in tables to avoid unnecessary shuffles, and often get hit by this bucket limitation.

> Configurable max number of buckets
> ----------------------------------
>
>                 Key: SPARK-23997
>                 URL: https://issues.apache.org/jira/browse/SPARK-23997
>             Project: Spark
>          Issue Type: Bug
>          Components: Input/Output, SQL
>    Affects Versions: 2.2.1, 2.3.0
>            Reporter: Fernando Pereira
>            Priority: Major
>
> When exporting data as a table the user can choose to split data in buckets by choosing the columns and the number of buckets. Currently there is a hard-coded limit of 99'999 buckets.
> However, for heavy workloads this limit might be too restrictive, a situation that will eventually become more common as workloads grow.
> As per the comments in SPARK-19618 this limit could be made configurable.



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