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https://issues.apache.org/jira/browse/SPARK-28024?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16869879#comment-16869879
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Marco Gaido commented on SPARK-28024:
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[~joshrosen] thanks for linking them, Yes, I did try having them in, because it
is a very confusing and unexpected behavior for many users, especially when
migrating workloads from other SQL systems. Moreover, having them as configs
lets users choose the behavior they prefer. But I received negative feedbacks
on them as you can see. I hope that since there have been several other people
sustaining this is a problem, those PRs may be reconsidered. Moreover, now
we're approaching 3.0, so it may be a good moment for them. I am updating them
resolving conflicts. This issue may be closed as a duplicate IMHO. Thanks.
> 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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