cloud-fan commented on a change in pull request #27590: [SPARK-30703][SQL][DOCS][FollowUp] Declare the ANSI SQL compliance options as experimental URL: https://github.com/apache/spark/pull/27590#discussion_r380025070
########## File path: docs/sql-ref-ansi-compliance.md ########## @@ -19,19 +19,21 @@ license: | limitations under the License. --- -Spark SQL has two options to comply with the SQL standard: `spark.sql.ansi.enabled` and `spark.sql.storeAssignmentPolicy` (See a table below for details). +Since Spark 3.0, Spark SQL introduces two experimental options to comply with the SQL standard: `spark.sql.ansi.enabled` and `spark.sql.storeAssignmentPolicy` (See a table below for details). + When `spark.sql.ansi.enabled` is set to `true`, Spark SQL follows the standard in basic behaviours (e.g., arithmetic operations, type conversion, and SQL parsing). Moreover, Spark SQL has an independent option to control implicit casting behaviours when inserting rows in a table. The casting behaviours are defined as store assignment rules in the standard. -When `spark.sql.storeAssignmentPolicy` is set to `ANSI`, Spark SQL complies with the ANSI store assignment rules. + +When `spark.sql.storeAssignmentPolicy` is set to `ANSI`, Spark SQL complies with the ANSI store assignment rules. This is a separate configuration because its default value is `ANSI`, while the configuration `spark.sql.ansi.enabled` is disabled by default. Review comment: `separate` -> `separated`? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org