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https://issues.apache.org/jira/browse/SPARK-34212?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17271069#comment-17271069
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Dongjoon Hyun commented on SPARK-34212:
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I confirmed that this exists in Apache Spark 3.1.1 RC1, too.
{code:java}
spark-sql> select * from test_decimal;
10.000
Time taken: 3.436 seconds, Fetched 1 row(s)
spark-sql> select version();
3.1.1 53fe365edb948d0e05a5ccb62f349cd9fcb4bb5d
Time taken: 0.158 seconds, Fetched 1 row(s)
{code}
> 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
> Reporter: Yahui Liu
> Priority: Major
>
> 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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