kiszk commented on a change in pull request #27489: 
[WIP][SPARK-30703][SQL][DOCS] Add a document for the ANSI mode
URL: https://github.com/apache/spark/pull/27489#discussion_r376311138
 
 

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 File path: docs/sql-ref-ansi-compliance.md
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 @@ -19,6 +19,87 @@ license: |
   limitations under the License.
 ---
 
+Spark SQL has two options to comply with the SQL standard: 
`spark.sql.ansi.enabled` and `spark.sql.storeAssignmentPolicy`.
+When `spark.sql.ansi.enabled` is set to `true` (`false` by default), 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 and this setting is enabled by default.
+
+The following subsections present behaviour changes in arithmetic operations, 
type conversions, and SQL parsing when the ANSI mode enabled.
+
+### Arithmetic Operations
+
+In Spark SQL, arithmetic operations performed on numeric types (with the 
exception of decimal) are not checked for overflow by default.
+This means that in case an operation causes an overflow, the result is the 
same that the same operation returns in a Java/Scala program (eg. if the sum of 
2 integers is higher than the maximum value representable, the result is a 
negative number).
 
 Review comment:
   nit: `eg.` -> `e.g.`

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