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