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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/03/18 16:59:41 UTC
[jira] [Updated] (SPARK-19519) Groupby for multiple columns not
working
[ https://issues.apache.org/jira/browse/SPARK-19519?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-19519:
------------------------------
Priority: Major (was: Blocker)
Yes, don't set Blocker. I don't think this is clear. If you can provide a simpler, clearer explanation of the problem, please do so, or else I'd close this.
> Groupby for multiple columns not working
> ----------------------------------------
>
> Key: SPARK-19519
> URL: https://issues.apache.org/jira/browse/SPARK-19519
> Project: Spark
> Issue Type: Bug
> Components: Java API
> Affects Versions: 1.5.0
> Reporter: Faisal
>
> Please look at the below join between multiple dataframes, then while applying groupby function for the multiple columns for the aggregate max does not yield results instead exception User class threw exception: org.apache.spark.sql.AnalysisException: expression 'propVal' is neither present in the group by, nor is it an aggregate function. Add to group by or wrap in first() if you don't care which value you get.
> DataFrame joinModCtypeAsgns = modCtypeAsgnsDf.as("mod")
> .join(moduleCodeDf.as("mc"), moduleCodeDf.col("EntityCode").equalTo(modCtypeAsgnsDf.col("charValCode")))
> .join(dictDfCharCode.as("dc"), dictDfCharCode.col("EntityCode").equalTo(modCtypeAsgnsDf.col("charCode")))
> .join(dictDfIsAChar, dictDfIsAChar.col("EntityCode").equalTo(modCtypeAsgnsDf.col("charCode")));
>
> joinModCtypeAsgns.select(col("mc.propVal").as("mcaModCode"),
> col("dc.propVal").as("mcaCtypeCode"),
> max(col("mod.updatedDate")).as("mcaLastChangedDate"),
> coalesce(max(when(col("mndtryInd").equalTo("Y"), "Y")),
> max(when(col("mndtryInd").equalTo("N"), "N")),
> max(col("mndtryInd"))).as("mcaMandatoryFlg"),
> lit("N").as("mcaLockedFlg"),
> coalesce(max(when(col("fldColInd").equalTo("Y"), "F")),
> max(when(col("fldColInd").equalTo("N"), "I")),max(col("fldColInd"))).as("mcaFieldCollectionFlg"))
> .groupBy(col("mc.propVal"),col("dc.propVal")).agg(col("mc.propVal"),col("dc.propVal"),max(col("mod.updatedDate")));
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