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https://issues.apache.org/jira/browse/FLINK-19103?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Flink Jira Bot updated FLINK-19103:
-----------------------------------
Labels: auto-deprioritized-major (was: stale-major)
Priority: Minor (was: Major)
This issue was labeled "stale-major" 7 ago and has not received any updates so
it is being deprioritized. If this ticket is actually Major, please raise the
priority and ask a committer to assign you the issue or revive the public
discussion.
> The PushPartitionIntoTableSourceScanRule will lead a performance problem when
> there are still many partitions after pruning
> ---------------------------------------------------------------------------------------------------------------------------
>
> Key: FLINK-19103
> URL: https://issues.apache.org/jira/browse/FLINK-19103
> Project: Flink
> Issue Type: Improvement
> Components: Table SQL / Planner
> Affects Versions: 1.10.2, 1.11.1
> Reporter: fa zheng
> Priority: Minor
> Labels: auto-deprioritized-major
> Fix For: 1.14.0
>
>
> The PushPartitionIntoTableSourceScanRule will obtain new statistic after
> pruning, however, it uses a for loop to get statistics of each partitions and
> then merge them together. During this process, flink will try to call
> metastore's interface four times in one loop. When remaining partitions are
> huge, it spends a lot of time to get new statistic.
>
> {code:scala}
> val newStatistic = {
> val tableStats = catalogOption match {
> case Some(catalog) =>
> def mergePartitionStats(): TableStats = {
> var stats: TableStats = null
> for (p <- remainingPartitions) {
> getPartitionStats(catalog, tableIdentifier, p) match {
> case Some(currStats) =>
> if (stats == null) {
> stats = currStats
> } else {
> stats = stats.merge(currStats)
> }
> case None => return null
> }
> }
> stats
> }
> mergePartitionStats()
> case None => null
> }
>
> FlinkStatistic.builder().statistic(statistic).tableStats(tableStats).build()
> }
> {code}
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