[jira] [Resolved] (SPARK-2063) Creating a SchemaRDD via sql() does not correctly resolve nested types

2015-09-15 Thread Michael Armbrust (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-2063?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Michael Armbrust resolved SPARK-2063.
-
   Resolution: Fixed
 Assignee: Michael Armbrust  (was: Cheng Lian)
Fix Version/s: 1.5.0

This is fixed in 1.5

> Creating a SchemaRDD via sql() does not correctly resolve nested types
> --
>
> Key: SPARK-2063
> URL: https://issues.apache.org/jira/browse/SPARK-2063
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 1.0.0
>Reporter: Aaron Davidson
>Assignee: Michael Armbrust
> Fix For: 1.5.0
>
>
> For example, from the typical twitter dataset:
> {code}
> scala> val popularTweets = sql("SELECT retweeted_status.text, 
> MAX(retweeted_status.retweet_count) AS s FROM tweets WHERE retweeted_status 
> is not NULL GROUP BY retweeted_status.text ORDER BY s DESC LIMIT 30")
> scala> popularTweets.toString
> 14/06/06 21:27:48 INFO analysis.Analyzer: Max iterations (2) reached for 
> batch MultiInstanceRelations
> 14/06/06 21:27:48 INFO analysis.Analyzer: Max iterations (2) reached for 
> batch CaseInsensitiveAttributeReferences
> org.apache.spark.sql.catalyst.analysis.UnresolvedException: Invalid call to 
> qualifiers on unresolved object, tree: 'retweeted_status.text
>   at 
> org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute.qualifiers(unresolved.scala:51)
>   at 
> org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute.qualifiers(unresolved.scala:47)
>   at 
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$2.apply(LogicalPlan.scala:67)
>   at 
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$2.apply(LogicalPlan.scala:65)
>   at 
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
>   at 
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
>   at scala.collection.immutable.List.foreach(List.scala:318)
>   at 
> scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251)
>   at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105)
>   at 
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolve(LogicalPlan.scala:65)
>   at 
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$3$$anonfun$applyOrElse$2.applyOrElse(Analyzer.scala:100)
>   at 
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$3$$anonfun$applyOrElse$2.applyOrElse(Analyzer.scala:97)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:165)
>   at 
> org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$transformExpressionDown$1(QueryPlan.scala:51)
>   at 
> org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$1$$anonfun$apply$1.apply(QueryPlan.scala:65)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
>   at scala.collection.immutable.List.foreach(List.scala:318)
>   at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
>   at scala.collection.AbstractTraversable.map(Traversable.scala:105)
>   at 
> org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$1.apply(QueryPlan.scala:64)
>   at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
>   at scala.collection.Iterator$class.foreach(Iterator.scala:727)
>   at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
>   at 
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
>   at 
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
>   at 
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
>   at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
>   at scala.collection.AbstractIterator.to(Iterator.scala:1157)
>   at 
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
>   at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
>   at 
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
>   at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
>   at 
> org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsDown(QueryPlan.scala:69)
>   at 
> org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressions(QueryPlan.scala:40)
>   at 
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$3.applyOrElse(Analyzer.scala:97)
>   at 
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$

[jira] [Resolved] (SPARK-2063) Creating a SchemaRDD via sql() does not correctly resolve nested types

2014-09-17 Thread Michael Armbrust (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-2063?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Michael Armbrust resolved SPARK-2063.
-
   Resolution: Duplicate
Fix Version/s: 1.2.0

> Creating a SchemaRDD via sql() does not correctly resolve nested types
> --
>
> Key: SPARK-2063
> URL: https://issues.apache.org/jira/browse/SPARK-2063
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 1.0.0
>Reporter: Aaron Davidson
>Assignee: Cheng Lian
> Fix For: 1.2.0
>
>
> For example, from the typical twitter dataset:
> {code}
> scala> val popularTweets = sql("SELECT retweeted_status.text, 
> MAX(retweeted_status.retweet_count) AS s FROM tweets WHERE retweeted_status 
> is not NULL GROUP BY retweeted_status.text ORDER BY s DESC LIMIT 30")
> scala> popularTweets.toString
> 14/06/06 21:27:48 INFO analysis.Analyzer: Max iterations (2) reached for 
> batch MultiInstanceRelations
> 14/06/06 21:27:48 INFO analysis.Analyzer: Max iterations (2) reached for 
> batch CaseInsensitiveAttributeReferences
> org.apache.spark.sql.catalyst.analysis.UnresolvedException: Invalid call to 
> qualifiers on unresolved object, tree: 'retweeted_status.text
>   at 
> org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute.qualifiers(unresolved.scala:51)
>   at 
> org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute.qualifiers(unresolved.scala:47)
>   at 
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$2.apply(LogicalPlan.scala:67)
>   at 
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$2.apply(LogicalPlan.scala:65)
>   at 
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
>   at 
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
>   at scala.collection.immutable.List.foreach(List.scala:318)
>   at 
> scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251)
>   at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105)
>   at 
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolve(LogicalPlan.scala:65)
>   at 
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$3$$anonfun$applyOrElse$2.applyOrElse(Analyzer.scala:100)
>   at 
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$3$$anonfun$applyOrElse$2.applyOrElse(Analyzer.scala:97)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:165)
>   at 
> org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$transformExpressionDown$1(QueryPlan.scala:51)
>   at 
> org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$1$$anonfun$apply$1.apply(QueryPlan.scala:65)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
>   at scala.collection.immutable.List.foreach(List.scala:318)
>   at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
>   at scala.collection.AbstractTraversable.map(Traversable.scala:105)
>   at 
> org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$1.apply(QueryPlan.scala:64)
>   at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
>   at scala.collection.Iterator$class.foreach(Iterator.scala:727)
>   at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
>   at 
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
>   at 
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
>   at 
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
>   at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
>   at scala.collection.AbstractIterator.to(Iterator.scala:1157)
>   at 
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
>   at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
>   at 
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
>   at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
>   at 
> org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsDown(QueryPlan.scala:69)
>   at 
> org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressions(QueryPlan.scala:40)
>   at 
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$3.applyOrElse(Analyzer.scala:97)
>   at 
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$3.applyOrElse(Analyzer.scala:94)
>   at 
> org.apache.spark.sql.catalyst.tr