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Posted to issues@spark.apache.org by "Yuming Wang (Jira)" <ji...@apache.org> on 2021/04/10 23:11:00 UTC
[jira] [Resolved] (SPARK-35007) Spark 2.4.x version does not
support numeric
[ https://issues.apache.org/jira/browse/SPARK-35007?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yuming Wang resolved SPARK-35007.
---------------------------------
Resolution: Won't Fix
> Spark 2.4.x 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
> 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 needs to use NUMERIC type in spark2.4 version
>
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