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Posted to issues@spark.apache.org by "Faisal (JIRA)" <ji...@apache.org> on 2017/02/08 21:36:41 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 ]
Faisal updated SPARK-19519:
---------------------------
Description:
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")));
Throws below 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.
was:
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")));
Throws below 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.
> 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
> Priority: Blocker
>
> 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")));
> Throws below 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.
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