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https://issues.apache.org/jira/browse/SPARK-35007?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-35007:
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Assignee: Apache Spark
> Spark 2.4 version does not support numeric
> ------------------------------------------
>
> Key: SPARK-35007
> URL: https://issues.apache.org/jira/browse/SPARK-35007
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.4.7
> Reporter: Sun BiaoBiao
> Assignee: Apache Spark
> Priority: Major
> Original Estimate: 48h
> Remaining Estimate: 48h
>
> as said in this pr: [https://github.com/apache/spark/pull/31891] ,
>
> So seems the key difference between DEICMAL and NUMERIC are:
> {quote}implementation-defined decimal precision equal to or greater than the
> value of the specified precision.
> {quote}
> Decimal can have _at least_ specified precision (which means can have more)
> whereas numeric should have exactly specified precision.
> Spark's decimal satisfy both so I think NUMERIC as a synonym of DECIMAL makes
> sense.
>
> my code need needs to use NUMERIC type in spark2.4 version
>
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