Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/14971#discussion_r80374991
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/StatisticsSuite.scala ---
@@ -259,6 +260,230 @@ class StatisticsSuite extends QueryTest with
TestHiveSingleton with SQLTestUtils
}
}
+ private def createNonPartitionedTable(
+ tabName: String,
+ analyzedBySpark: Boolean = true,
+ analyzedByHive: Boolean = true): Unit = {
+ val hiveClient =
spark.sharedState.externalCatalog.asInstanceOf[HiveExternalCatalog].client
+ sql(
+ s"""
+ |CREATE TABLE $tabName (key STRING, value STRING)
+ |STORED AS TEXTFILE
+ |TBLPROPERTIES ('prop1' = 'val1', 'prop2' = 'val2')
+ """.stripMargin)
+ sql(s"INSERT INTO TABLE $tabName SELECT * FROM src")
+ if (analyzedBySpark) sql(s"ANALYZE TABLE $tabName COMPUTE STATISTICS")
+ if (analyzedByHive) hiveClient.runSqlHive(s"ANALYZE TABLE $tabName
COMPUTE STATISTICS")
+ val describeResult1 = hiveClient.runSqlHive(s"DESCRIBE FORMATTED
$tabName")
+
+ val tableMetadata =
+
spark.sessionState.catalog.getTableMetadata(TableIdentifier(tabName)).properties
+ // statistics info is not contained in the metadata of the original
table
+ assert(Seq(StatsSetupConst.COLUMN_STATS_ACCURATE,
+ StatsSetupConst.NUM_FILES,
+ StatsSetupConst.NUM_PARTITIONS,
+ StatsSetupConst.ROW_COUNT,
+ StatsSetupConst.RAW_DATA_SIZE,
+ StatsSetupConst.TOTAL_SIZE).forall(!tableMetadata.contains(_)))
+
+ if (analyzedByHive) {
+ assert(StringUtils.filterPattern(describeResult1,
"*numRows\\s+500*").nonEmpty)
--- End diff --
Hive does not recognize Spark-generated statistics. Thus, if
`analyzedByHive` is `false`, we do not expect to see the collected `numRows`
---
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 infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
