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https://issues.apache.org/jira/browse/ARROW-17325?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andy Grove closed ARROW-17325.
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Resolution: Invalid
> AQE should use available column statistics from completed query stages
> ----------------------------------------------------------------------
>
> Key: ARROW-17325
> URL: https://issues.apache.org/jira/browse/ARROW-17325
> Project: Apache Arrow
> Issue Type: Improvement
> Components: SQL
> Reporter: Andy Grove
> Priority: Major
>
> In QueryStageExec.computeStats we copy partial statistics from materlized
> query stages by calling QueryStageExec#getRuntimeStatistics, which in turn
> calls ShuffleExchangeLike#runtimeStatistics or
> BroadcastExchangeLike#runtimeStatistics.
> Only dataSize and numOutputRows are copied into the new Statistics object:
> {code:scala}
> def computeStats(): Option[Statistics] = if (isMaterialized) {
> val runtimeStats = getRuntimeStatistics
> val dataSize = runtimeStats.sizeInBytes.max(0)
> val numOutputRows = runtimeStats.rowCount.map(_.max(0))
> Some(Statistics(dataSize, numOutputRows, isRuntime = true))
> } else {
> None
> }
> {code}
> I would like to also copy over the column statistics stored in
> Statistics.attributeMap so that they can be fed back into the logical plan
> optimization phase. This is a small change as shown below:
> {code:scala}
> def computeStats(): Option[Statistics] = if (isMaterialized) {
> val runtimeStats = getRuntimeStatistics
> val dataSize = runtimeStats.sizeInBytes.max(0)
> val numOutputRows = runtimeStats.rowCount.map(_.max(0))
> val attributeStats = runtimeStats.attributeStats
> Some(Statistics(dataSize, numOutputRows, attributeStats, isRuntime =
> true))
> } else {
> None
> }
> {code}
> The Spark implementations of ShuffleExchangeLike and BroadcastExchangeLike do
> not currently provide such column statistics, but other custom
> implementations can.
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