sunchao commented on code in PR #43629:
URL: https://github.com/apache/spark/pull/43629#discussion_r1387620669
##########
sql/core/src/main/scala/org/apache/spark/sql/execution/command/AnalyzePartitionCommand.scala:
##########
@@ -101,56 +98,19 @@ case class AnalyzePartitionCommand(
if (noscan) {
Map.empty
} else {
- calculateRowCountsPerPartition(sparkSession, tableMeta,
partitionValueSpec)
+ CommandUtils.calculateRowCountsPerPartition(sparkSession, tableMeta,
partitionValueSpec)
}
// Update the metastore if newly computed statistics are different from
those
// recorded in the metastore.
-
- val sizes = CommandUtils.calculateMultipleLocationSizes(sparkSession,
tableMeta.identifier,
- partitions.map(_.storage.locationUri))
- val newPartitions = partitions.zipWithIndex.flatMap { case (p, idx) =>
- val newRowCount = rowCounts.get(p.spec)
- val newStats = CommandUtils.compareAndGetNewStats(p.stats, sizes(idx),
newRowCount)
- newStats.map(_ => p.copy(stats = newStats))
- }
-
+ val (_, newPartitions) = CommandUtils.calculatePartitionStats(
+ sparkSession, tableMeta, partitions, Some(rowCounts))
if (newPartitions.nonEmpty) {
sessionState.catalog.alterPartitions(tableMeta.identifier, newPartitions)
}
Seq.empty[Row]
}
- private def calculateRowCountsPerPartition(
Review Comment:
It is used in two places:
- `CommandUtils.analyzeTable`
- `AnalyzePartitionCommand.run`
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