[
https://issues.apache.org/jira/browse/SPARK-28024?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yuming Wang updated SPARK-28024:
--------------------------------
Description:
For example
Case 1:
{code:sql}
select tinyint(128) * tinyint(2); -- 0
select smallint(2147483647) * smallint(2); -- -2
select int(2147483647) * int(2); -- -2
SELECT smallint((-32768)) * smallint(-1); -- -32768
{code}
Case 2:
{code:sql}
spark-sql> select cast('10e-70' as float), cast('-10e-70' as float);
0.0 -0.0
{code}
Case 3:
{code:sql}
spark-sql> select cast('10e-400' as double), cast('-10e-400' as double);
0.0 -0.0
{code}
Case 4:
{code:sql}
spark-sql> select exp(-1.2345678901234E200);
0.0
postgres=# select exp(-1.2345678901234E200);
ERROR: value overflows numeric format
{code}
was:
For example
Case 1:
{code:sql}
select tinyint(128) * tinyint(2); -- 0
select smallint(2147483647) * smallint(2); -- -2
select int(2147483647) * int(2); -- -2
SELECT smallint((-32768)) * smallint(-1); -- -32768
{code}
Case 2:
{code:sql}
spark-sql> select cast('10e-70' as float), cast('-10e-70' as float);
0.0 -0.0
{code}
Case 3:
{code:sql}
spark-sql> select cast('10e-400' as double), cast('-10e-400' as double);
0.0 -0.0
{code}
> Incorrect numeric values when out of range
> ------------------------------------------
>
> Key: SPARK-28024
> URL: https://issues.apache.org/jira/browse/SPARK-28024
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Yuming Wang
> Priority: Critical
> Labels: correctness
> Attachments: SPARK-28024.png
>
>
> For example
> Case 1:
> {code:sql}
> select tinyint(128) * tinyint(2); -- 0
> select smallint(2147483647) * smallint(2); -- -2
> select int(2147483647) * int(2); -- -2
> SELECT smallint((-32768)) * smallint(-1); -- -32768
> {code}
> Case 2:
> {code:sql}
> spark-sql> select cast('10e-70' as float), cast('-10e-70' as float);
> 0.0 -0.0
> {code}
> Case 3:
> {code:sql}
> spark-sql> select cast('10e-400' as double), cast('-10e-400' as double);
> 0.0 -0.0
> {code}
> Case 4:
> {code:sql}
> spark-sql> select exp(-1.2345678901234E200);
> 0.0
> postgres=# select exp(-1.2345678901234E200);
> ERROR: value overflows numeric format
> {code}
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