Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/14712#discussion_r75515983
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/AnalyzeTableCommand.scala
---
@@ -88,14 +90,30 @@ case class AnalyzeTableCommand(tableName: String)
extends RunnableCommand {
}
}.getOrElse(0L)
- // Update the Hive metastore if the total size of the table is
different than the size
+ val needUpdate = new mutable.HashMap[String, String]()
+ if (newTotalSize > 0 && newTotalSize != oldTotalSize) {
+ needUpdate += (AnalyzeTableCommand.TOTAL_SIZE_FIELD ->
newTotalSize.toString)
+ }
+ if (!noscan) {
+ val oldRowCount =
tableParameters.get(AnalyzeTableCommand.ROW_COUNT).map(_.toLong)
+ .getOrElse(-1L)
+ val newRowCount = sparkSession.table(tableName).count()
+
+ if (newRowCount >= 0 && newRowCount != oldRowCount) {
+ needUpdate += (AnalyzeTableCommand.ROW_COUNT ->
newRowCount.toString)
+ }
+ }
+ // Update the Hive metastore if the above parameters of the table
is different than those
// recorded in the Hive metastore.
// This logic is based on
org.apache.hadoop.hive.ql.exec.StatsTask.aggregateStats().
- if (newTotalSize > 0 && newTotalSize != oldTotalSize) {
+ if (needUpdate.nonEmpty) {
+ // need to set this parameter so that we can store other
parameters like "numRows" into
+ // Hive metastore
+
needUpdate.put(AnalyzeTableCommand.STATS_GENERATED_VIA_STATS_TASK,
+ AnalyzeTableCommand.TRUE)
sessionState.catalog.alterTable(
catalogTable.copy(
- properties = relation.catalogTable.properties +
- (AnalyzeTableCommand.TOTAL_SIZE_FIELD ->
newTotalSize.toString)))
+ properties = relation.catalogTable.properties ++ needUpdate))
--- End diff --
Yeah, we would. It is just a property. Exposing this also has the benefit
that we have another way of providing statistics. We could, for instance, piggy
back statistics collection on top of a full table scan.
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