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## What changes were proposed in this pull request? This PR is to port numeric.sql from PostgreSQL regression tests. https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/sql/numeric.sql The expected results can be found in the link: https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/expected/numeric.out When porting the test cases, found four PostgreSQL specific features that do not exist in Spark SQL: [SPARK-28315](https://issues.apache.org/jira/browse/SPARK-28315): Decimal can not accept `NaN` as input [SPARK-28317](https://issues.apache.org/jira/browse/SPARK-28317): Built-in Mathematical Functions: SCALE [SPARK-28318](https://issues.apache.org/jira/browse/SPARK-28318): Decimal can only support precision up to 38 [SPARK-28322](https://issues.apache.org/jira/browse/SPARK-28322): DIV support decimal type Also, found four inconsistent behavior: [SPARK-28316](https://issues.apache.org/jira/browse/SPARK-28316): Decimal precision issue [SPARK-28324](https://issues.apache.org/jira/browse/SPARK-28324): The LOG function using 10 as the base, but Spark using E [SPARK-27923](https://issues.apache.org/jira/browse/SPARK-27923): Spark SQL insert bad inputs to NULL [SPARK-28007](https://issues.apache.org/jira/browse/SPARK-28007): Caret operator (^) means bitwise XOR in Spark/Hive and exponentiation in Postgres ## How was this patch tested? N/A Closes #25092 from wangyum/SPARK-28312. Authored-by: Yuming Wang <yumwang@ebay.com> Signed-off-by: Dongjoon Hyun <dhyun@apple.com> |
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