Description
For example, from the typical twitter dataset:
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$$anonfun$apply$3.applyOrElse(Analyzer.scala:94) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:217) at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$.apply(Analyzer.scala:94) at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$.apply(Analyzer.scala:93) at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$apply$1$$anonfun$apply$2.apply(RuleExecutor.scala:62) at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$apply$1$$anonfun$apply$2.apply(RuleExecutor.scala:60) at scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:111) at scala.collection.immutable.List.foldLeft(List.scala:84) at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$apply$1.apply(RuleExecutor.scala:60) at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$apply$1.apply(RuleExecutor.scala:52) at scala.collection.immutable.List.foreach(List.scala:318) at org.apache.spark.sql.catalyst.rules.RuleExecutor.apply(RuleExecutor.scala:52) at org.apache.spark.sql.SQLContext$QueryExecution.analyzed$lzycompute(SQLContext.scala:265) at org.apache.spark.sql.SQLContext$QueryExecution.analyzed(SQLContext.scala:265) at org.apache.spark.sql.SQLContext$QueryExecution.optimizedPlan$lzycompute(SQLContext.scala:266) at org.apache.spark.sql.SQLContext$QueryExecution.optimizedPlan(SQLContext.scala:266) at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:268) at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:268) at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:269) at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:269) at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:272) at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:272) at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:154)
Attachments
Issue Links
- duplicates
-
SPARK-3414 Case insensitivity breaks when unresolved relation contains attributes with uppercase letters in their names
- Resolved
- relates to
-
SPARK-2775 HiveContext does not support dots in column names.
- Resolved