cloud-fan commented on a change in pull request #30593:
URL: https://github.com/apache/spark/pull/30593#discussion_r535410969
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File path: docs/sql-ref-ansi-compliance.md
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@@ -21,7 +21,8 @@ license: |
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, SQL
functions and SQL parsing).
+When `spark.sql.ansi.enabled` is set to `true`, Spark SQL Spark SQL uses an
ANSI compliant dialect instead of being Hive compliant. For example, Spark will
throw an exception at runtime instead of returning null results if the inputs
to a SQL operator/function are invalid. Some ANSI dialect features may not be
from the ANSI SQL standard directly, but their behaviors align with ANSI SQL's
style.
Review comment:
`may not be` -> `may not`
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