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https://issues.apache.org/jira/browse/SPARK-29849?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16971574#comment-16971574
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Aman Omer commented on SPARK-29849:
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I am checking this issue.
> Spark trunc() func does not support for number group as PostgreSQL
> ------------------------------------------------------------------
>
> Key: SPARK-29849
> URL: https://issues.apache.org/jira/browse/SPARK-29849
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: ABHISHEK KUMAR GUPTA
> Priority: Minor
>
> PostgreSQL trunc() function accepts number group as below
> SELECT trunc(1234567891.1234567891,4);
> output
> |1|1234567891,1234|
> Spark does not accept
> jdbc:hive2://10.18.19.208:23040/default> SELECT
> trunc(1234567891.1234567891D,4);
> Error: org.apache.spark.sql.AnalysisException: cannot resolve
> 'trunc(1.2345678911234567E9D, CAST(4 AS STRING))' due to data type mismatch:
> argument 1 requires date type, however, '1.2345678911234567E9D' is of double
> type.; line 1 pos 7;
> 'Project [unresolvedalias(trunc(1.2345678911234567E9, cast(4 as string)),
> None)]
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