[jira] [Created] (SPARK-35030) ANSI SQL compliance dialect for better data quality and easier migration from traditional DBMS to Spark

["Gengliang Wang (Jira)" <ji...@apache.org>]

Gengliang Wang created SPARK-35030:
--------------------------------------

             Summary: ANSI SQL compliance dialect for better data quality and easier migration from traditional DBMS to Spark 
                 Key: SPARK-35030
                 URL: https://issues.apache.org/jira/browse/SPARK-35030
             Project: Spark
          Issue Type: Epic
          Components: SQL
    Affects Versions: 3.1.1, 3.0.0, 3.2.0
            Reporter: Gengliang Wang


Build an ANSI compliant dialect in Spark, compared to the default Hive compliant dialect. For example, Spark will throw an exception at runtime instead of returning null results when the inputs to a SQL operator/function are invalid. 

The new dialect is controlled by SQL Configuration `spark.sql.ansi.enabled`:
{code:java}
-- `spark.sql.ansi.enabled=true`
SELECT 2147483647 + 1;
java.lang.ArithmeticException: integer overflow

-- `spark.sql.ansi.enabled=false`
SELECT 2147483647 + 1;
+----------------+
|(2147483647 + 1)|
+----------------+
|     -2147483648|
+----------------+
{code}

Full details of this dialect are documented in [https://spark.apache.org/docs/latest/sql-ref-ansi-compliance.html|https://spark.apache.org/docs/latest/sql-ref-ansi-compliance.html].

Note that some ANSI dialect features maybe not from the ANSI SQL standard directly, but their behaviors align with ANSI SQL's style.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org