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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2016/10/08 18:21:20 UTC
[jira] [Commented] (SPARK-10044) AnalysisException in resolving
reference for sorting with aggregation
[ https://issues.apache.org/jira/browse/SPARK-10044?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15558470#comment-15558470 ]
Xiao Li commented on SPARK-10044:
---------------------------------
This has been resolved at least in the Spark 2.0. Thus, it should not be a problem now. Let me close it. Thanks!
> AnalysisException in resolving reference for sorting with aggregation
> ---------------------------------------------------------------------
>
> Key: SPARK-10044
> URL: https://issues.apache.org/jira/browse/SPARK-10044
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Cheng Hao
>
> Unit test as:
> {code}
> withTempTable("mytable") {
> sqlContext.sparkContext.parallelize(1 to 10).map(i => (i, i.toString))
> .toDF("key", "value")
> .registerTempTable("mytable")
> checkAnswer(sql(
> """select max(value) from mytable group by key % 2
> |order by max(concat(value,",", key)), min(substr(value, 0, 4))
> |""".stripMargin), Row("8") :: Row("9") :: Nil)
> }
> {code}
> Exception like:
> {code}
> cannot resolve '_aggOrdering' given input columns _c0, _aggOrdering, _aggOrdering;
> org.apache.spark.sql.AnalysisException: cannot resolve '_aggOrdering' given input columns _c0, _aggOrdering, _aggOrdering;
> at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
> at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:56)
> at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:53)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:293)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:293)
> at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:51)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:292)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:290)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:290)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:249)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> at scala.collection.AbstractIterator.to(Iterator.scala:1157)
> at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
> {code}
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