maropu 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_r379824093
 
 

 ##########
 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.
 
 <table class="table">
 <tr><th>Property Name</th><th>Default</th><th>Meaning</th></tr>
 <tr>
   <td><code>spark.sql.ansi.enabled</code></td>
   <td>false</td>
   <td>
-    When true, Spark tries to conform to the ANSI SQL specification:
+    (Experimental) When true, Spark tries to conform to the ANSI SQL 
specification:
 
 Review comment:
   Yea, I think the fix itself in this pr looks fine. cc: @dongjoon-hyun 
@cloud-fan @HyukjinKwon 

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