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https://issues.apache.org/jira/browse/SPARK-13911?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15209801#comment-15209801
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Yang Wang commented on SPARK-13911:
-----------------------------------
Are there any new progresses here about this issue? We are facing the same
problem. Thanks.
> Having condition and order by cannot both have aggregate functions
> ------------------------------------------------------------------
>
> Key: SPARK-13911
> URL: https://issues.apache.org/jira/browse/SPARK-13911
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.3.1, 1.4.1, 1.5.2, 1.6.1, 2.0.0
> Reporter: Cheng Lian
>
> Given the following temporary table:
> {code}
> sqlContext range 10 select ('id as 'a, 'id as 'b) registerTempTable "t"
> {code}
> The following SQL statement can't pass analysis:
> {noformat}
> scala> sqlContext sql "SELECT * FROM t GROUP BY a HAVING COUNT(b) > 0 ORDER
> BY COUNT(b)" show ()
> org.apache.spark.sql.AnalysisException: expression '`t`.`b`' is neither
> present in the group by, nor is it an aggregate function. Add to group by or
> wrap in first() (or first_value) if you don't care which value you get.;
> at
> org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:36)
> at org.apache.spark.sql.Dataset$.newDataFrame(Dataset.scala:58)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:784)
> ... 49 elided
> {noformat}
> The reason is that analysis rule {{ResolveAggregateFunctions}} only handles
> the first {{Filter}} _or_ {{Sort}} directly above an {{Aggregate}}.
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