[SPARK-14495] Distinct aggregation cannot be used in the having clause

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 1.6.1
• Fix Version/s: 1.6.2
• Component/s: SQL
• Target Version/s: 1.6.2
• Assignee: Xin Wu
• Reporter: Yin Huai
• Created: 08/Apr/16 18:57
• Updated: 11/May/16 11:06
• Resolved: 11/May/16 08:31

Description

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.<init>(DataFrame.scala:133)
	at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:52)
	at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:816)

Issue Links

• links to: [Github] Pull Request #12974 (xwu0226)