[GitHub] [spark] wangyum commented on issue #24523: [SPARK-27631][SQL] Avoid repeating calculate table statistics

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

wangyum commented on issue #24523: [SPARK-27631][SQL] Avoid repeating calculate table statistics
URL: https://github.com/apache/spark/pull/24523#issuecomment-492857080
 
 
   Another special case. The data source table's statistics should be nonEmpty once `ANALYZE` it when using `HiveExternalCatalog`.
   ```scala
   val tableName = "spark_27631"
   withTable(tableName) {
     sql(s"CREATE TABLE $tableName(c1 INT) USING PARQUET")
     sql(s"INSERT INTO $tableName VALUES(1)")
     assert(DDLUtils.isDatasourceTable(getCatalogTable(tableName)))
     assert(getCatalogTable(tableName).stats.isEmpty)
     sql(s"ANALYZE TABLE $tableName COMPUTE STATISTICS")
     assert(getCatalogTable(tableName).stats.nonEmpty)
     sql(s"INSERT INTO $tableName VALUES(1)")
     // assert(getCatalogTable(tableName).stats.nonEmpty) // For HiveExternalCatalog
     // assert(getCatalogTable(tableName).stats.isEmpty) // For InMemoryCatalog
   }
   ```

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