Github user wzhfy commented on a diff in the pull request:
https://github.com/apache/spark/pull/14712#discussion_r75569351
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/AnalyzeTableCommand.scala
---
@@ -33,7 +34,7 @@ import
org.apache.spark.sql.catalyst.catalog.{CatalogRelation, CatalogTable}
* Right now, it only supports Hive tables and it only updates the size of
a Hive table
* in the Hive metastore.
*/
-case class AnalyzeTableCommand(tableName: String) extends RunnableCommand {
+case class AnalyzeTableCommand(tableName: String, noscan: Boolean = true)
extends RunnableCommand {
--- End diff --
Recalculation incurs high cost, it should be triggered by uses like DBAs.
We can have an mechanism to incrementally update the stats in the future, but
that will need some well designed algorithms (especially for histograms) and
definition of confidence interval.
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