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https://issues.apache.org/jira/browse/SPARK-3430?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-3430.
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Resolution: Won't Fix
PR says this is WontFix
> Introduce ValueIncrementableHashMapAccumulator to compute Histogram and other
> statistical metrics
> -------------------------------------------------------------------------------------------------
>
> Key: SPARK-3430
> URL: https://issues.apache.org/jira/browse/SPARK-3430
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Reporter: Suraj Satishkumar Sheth
>
> Pull request : https://github.com/apache/spark/pull/2314
> Currently, we don't have a Hash map which can be used as an accumulator to
> produce Histogram or distribution. This class will provide a customized
> HashMap implemetation whose value can be incremented.
> e.g. map+=(a,1), map+=(a,6) will lead to (a,7)
> This can have various applications like computation of Histograms, Sampling
> Strategy generation, Statistical metric computation, in MLLib, etc.
> Example usage :
> val map = sc.accumulableCollection(new
> ValueIncrementableHashMapAccumulator[Int]())
>
> var countMap = sc.broadcast(map)
>
> data.foreach(record => {
> var valArray = record.split("\t")
> var valString = ""
> var i = 0
> var tuple = (0,1L)
> countMap.value += tuple
> for(valString <- valArray) {
> i = i+1
> try{
> valString.toDouble
> var tuple = (i,1L)
> countMap.value += tuple
> }
> catch {
> case ioe: Exception => None
> }
>
> }
> })
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