[GitHub] [spark] AngersZhuuuu commented on a change in pull request #31179: [SPARK-34113][SQL] Use metric data update metadata statistic's size and rowCount

[GitBox <gi...@apache.org>]

AngersZhuuuu commented on a change in pull request #31179:
URL: https://github.com/apache/spark/pull/31179#discussion_r655843657



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File path: sql/core/src/main/scala/org/apache/spark/sql/execution/command/CommandUtils.scala
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@@ -51,6 +51,119 @@ class PathFilterIgnoreNonData(stagingDir: String) extends PathFilter with Serial
 
 object CommandUtils extends Logging {
 
+  def updateTableAndPartitionStats(
+      sparkSession: SparkSession,
+      table: CatalogTable,
+      overwrite: Boolean,
+      partitionSpec: Map[String, Option[String]],
+      statsTracker: BasicWriteJobStatsTracker): Unit = {
+    val catalog = sparkSession.sessionState.catalog
+    if (sparkSession.sessionState.conf.autoSizeUpdateEnabled) {
+      val newTable = catalog.getTableMetadata(table.identifier)
+      val isSinglePartition = partitionSpec.nonEmpty && partitionSpec.values.forall(_.nonEmpty)
+      val isPartialPartitions = partitionSpec.nonEmpty &&
+          partitionSpec.values.exists(_.isEmpty) && partitionSpec.values.exists(_.nonEmpty)
+      if (overwrite) {
+        // Only update one partition, statsTracker.partitionsStats is empty
+        if (isSinglePartition) {

Review comment:
       > I think the question was why we should separate them.
   
   Since when single partition, it return statistic data same as insert into a non-partition table.




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