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https://issues.apache.org/jira/browse/SPARK-53886?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18052493#comment-18052493
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Christopher Boumalhab commented on SPARK-53886:
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Hi [~Gengliang.Wang], [~dtenedor] and I worked on these already, sorry I forgot
to update this.
> Percentile estimation functions
> -------------------------------
>
> Key: SPARK-53886
> URL: https://issues.apache.org/jira/browse/SPARK-53886
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 0.5.0
> Reporter: Gengliang Wang
> Assignee: Christopher Boumalhab
> Priority: Major
>
> Similar to https://issues.apache.org/jira/browse/SPARK-53885, it would be
> useful to have the following percentile estimation functions based on data
> sketch. These functions provide a lightweight, mergeable representation of
> percentile distributions, enabling efficient approximate percentile
> computation over large or streaming datasets without maintaining full data
> samples.
> * *APPROX_PERCENTILE_ACCUMULATE(expr[, maxItemsTracked]):* Creates an
> intermediate state object that incrementally accumulates values for
> percentile estimation using a sketch-based algorithm.
> * *APPROX_PERCENTILE_ESTIMATE(state [, k] ])* : Returns the approximate
> percentile value(s) from a previously accumulated sketch state.
> * *APPROX_PERCENTILE_COMBINE(expr[, maxItemsTracked])* : Merges two
> intermediate sketch states to enable distributed or parallel percentile
> estimation.
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