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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2018/08/28 17:33:00 UTC
[jira] [Resolved] (SPARK-23997) Configurable max number of buckets
[ https://issues.apache.org/jira/browse/SPARK-23997?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiao Li resolved SPARK-23997.
-----------------------------
Resolution: Fixed
Assignee: Fernando Pereira
Fix Version/s: 2.4.0
> 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
> Assignee: Fernando Pereira
> Priority: Major
> Fix For: 2.4.0
>
>
> 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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