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https://issues.apache.org/jira/browse/SPARK-14495?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15266069#comment-15266069
]
Xin Wu edited comment on SPARK-14495 at 5/2/16 2:21 AM:
I can recreate it on branch-1.6. and another workaround is using alias for the
aggregate expression
{code}
scala> sqlContext.sql("SELECT date, count(distinct id) as cnt from (select
'2010-01-01' as date, 1 as id) tmp group by date having cnt > 0").show
+--+---+
| date|cnt|
+--+---+
|2010-01-01| 1|
+--+---+
{code}
was (Author: xwu0226):
I can recreated it on branch-1.6. and another workaround is using alias for the
aggregate expression
{code}
scala> sqlContext.sql("SELECT date, count(distinct id) as cnt from (select
'2010-01-01' as date, 1 as id) tmp group by date having cnt > 0").show
+--+---+
| date|cnt|
+--+---+
|2010-01-01| 1|
+--+---+
{code}
> Distinct aggregation cannot be used in the having clause
>
>
> Key: SPARK-14495
> URL: https://issues.apache.org/jira/browse/SPARK-14495
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.1
>Reporter: Yin Huai
>
> {code}
> select date, count(distinct id)
> from (select '2010-01-01' as date, 1 as id) tmp
> group by date
> having count(distinct id) > 0;
> org.apache.spark.sql.AnalysisException: resolved attribute(s) gid#558,id#559
> missing from date#554,id#555 in operator !Expand [List(date#554, null, 0, if
> ((gid#558 = 1)) id#559 else null),List(date#554, id#555, 1, null)],
> [date#554,id#561,gid#560,if ((gid = 1)) id else null#562];
> at
> org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:38)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:44)
> at
> org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:183)
> at
> org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:50)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:121)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:120)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:120)
> at scala.collection.immutable.List.foreach(List.scala:318)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:120)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:120)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:120)
> at scala.collection.immutable.List.foreach(List.scala:318)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:120)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:120)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:120)
> at scala.collection.immutable.List.foreach(List.scala:318)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:120)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:120)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:120)
> at scala.collection.immutable.List.foreach(List.scala:318)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:120)
> at
> org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:50)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:44)
> at
> org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:34)
> at org.apache.spark.sql.DataFrame.(DataFrame.scala:133)
> at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:52)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:816)
> {code}
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