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https://issues.apache.org/jira/browse/SPARK-38679?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17515640#comment-17515640
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Apache Spark commented on SPARK-38679:
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User 'tedyu' has created a pull request for this issue:
https://github.com/apache/spark/pull/36029
> Expose the number partitions in a stage to TaskContext
> ------------------------------------------------------
>
> Key: SPARK-38679
> URL: https://issues.apache.org/jira/browse/SPARK-38679
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 3.2.1
> Reporter: Venki Korukanti
> Assignee: Venki Korukanti
> Priority: Major
> Fix For: 3.4.0
>
>
> Add a new api to expose total partition count in the stage belonging to the
> task in TaskContext, so that the task knows what fraction of the computation
> is doing.
> With this extra information, users can also generate 32bit unique int ids as
> below rather than using `monotonically_increasing_id` which generates 64bit
> long ids.
>
> {code:java}
> rdd.mapPartitions { rowsIter =>
> val partitionId = TaskContext.get().partitionId()
> val numPartitions = TaskContext.get().numPartitions()
> var i = 0
> rowsIter.map { row =>
> val rowId = partitionId + i * numPartitions
> i += 1
> (rowId, row)
> }
> }{code}
>
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