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Thomas Sebastian commented on SPARK-13197: ------------------------------------------ Working on the code fix [~jayadevan.m] > When trying to select from the data frame which contains the columns with . > in it, it is throwing exception. > ------------------------------------------------------------------------------------------------------------ > > Key: SPARK-13197 > URL: https://issues.apache.org/jira/browse/SPARK-13197 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.0.0 > Reporter: Jayadevan M > Priority: Minor > Fix For: 2.0.0 > > > When trying to select from the data frame which contains the columns with > (dot). in it, it is throwing the below exception. > How to replicate: > val df = Seq((1, 1)).toDF("a_b", "a.c") > df.select("a.c").collect() > stacktrace below > scala> df.select("a.c").collect() > org.apache.spark.sql.AnalysisException: cannot resolve 'a.c' given input > columns: [a_b, a.c]; > 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:60) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:57) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:284) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:284) > at > org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:283) > at > org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionUp$1(QueryPlan.scala:109) > at > org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$2(QueryPlan.scala:119) > at > org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$2$1.apply(QueryPlan.scala:123) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:245) > at scala.collection.AbstractTraversable.map(Traversable.scala:104) > at > org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$2(QueryPlan.scala:123) > at > org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$2.apply(QueryPlan.scala:128) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:370) > at scala.collection.Iterator$class.foreach(Iterator.scala:742) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) > at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) > at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) > at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) > at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:308) > at scala.collection.AbstractIterator.to(Iterator.scala:1194) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:300) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1194) > at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:287) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1194) > at > org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsUp(QueryPlan.scala:128) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:57) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:50) > at > org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:122) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:50) > at > org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:45) > at > org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:34) > at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:129) > at > org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$withPlan(DataFrame.scala:1803) > at org.apache.spark.sql.DataFrame.select(DataFrame.scala:704) > at org.apache.spark.sql.DataFrame.select(DataFrame.scala:721) > ... 49 elided -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org