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https://issues.apache.org/jira/browse/SPARK-34212?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun resolved SPARK-34212.
-----------------------------------
Fix Version/s: 2.4.8
3.0.2
3.1.0
Resolution: Fixed
Issue resolved by pull request 31319
[https://github.com/apache/spark/pull/31319]
> For parquet table, after changing the precision and scale of decimal type in
> hive, spark reads incorrect value
> --------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-34212
> URL: https://issues.apache.org/jira/browse/SPARK-34212
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.5, 3.0.1, 3.1.1
> Reporter: Yahui Liu
> Assignee: Dongjoon Hyun
> Priority: Blocker
> Labels: correctness
> Fix For: 3.1.0, 3.0.2, 2.4.8
>
>
> In Hive,
> {code}
> create table test_decimal(amt decimal(18,2)) stored as parquet;
> insert into test_decimal select 100;
> alter table test_decimal change amt amt decimal(19,3);
> {code}
> In Spark,
> {code}
> select * from test_decimal;
> {code}
> {code}
> +--------+
> | amt |
> +--------+
> | 10.000 |
> +--------+
> {code}
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