Github user wzhfy commented on a diff in the pull request:
https://github.com/apache/spark/pull/18292#discussion_r126276240
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/AnalyzeColumnCommand.scala
---
@@ -42,17 +42,20 @@ case class AnalyzeColumnCommand(
if (tableMeta.tableType == CatalogTableType.VIEW) {
throw new AnalysisException("ANALYZE TABLE is not supported on
views.")
}
- val sizeInBytes = CommandUtils.calculateTotalSize(sessionState,
tableMeta)
+ val newSize = CommandUtils.calculateTotalSize(sessionState, tableMeta)
// Compute stats for each column
- val (rowCount, newColStats) = computeColumnStats(sparkSession,
tableIdentWithDB, columnNames)
+ val (newRowCount, colStats) = computeColumnStats(sparkSession,
tableIdentWithDB, columnNames)
+
+ // Because we will invalidate or update stats when table is changed,
if column stats exist,
+ // they should be correct. Hence, we can combine previous column stats
and the newly collected
+ // column stats.
+ val oldColStats = tableMeta.stats.map(_.colStats).getOrElse(Map.empty)
+ val newColStats = oldColStats ++ colStats
// We also update table-level stats in order to keep them consistent
with column-level stats.
val statistics = CatalogStatistics(
- sizeInBytes = sizeInBytes,
- rowCount = Some(rowCount),
- // Newly computed column stats should override the existing ones.
- colStats = tableMeta.stats.map(_.colStats).getOrElse(Map.empty) ++
newColStats)
--- End diff --
uh...let me revert it. It's been a month and I forget the original code...
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
