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Date: Thu, 4 Feb 2016 16:16:39 +0000 (UTC)
From: "Thomas Sebastian (JIRA)" <jira@apache.org>
To: issues@spark.apache.org
Message-ID: <JIRA.12936769.1454602446000.300063.1454602599962@Atlassian.JIRA>
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 <JIRA.12936769.1454602446917@arcas>
Subject: [jira] [Commented] (SPARK-13197) When trying to select from the
 data frame which contains the columns with . in it, it is throwing
 exception.
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    [ https://issues.apache.org/jira/browse/SPARK-13197?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15132515#comment-15132515 ] 

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


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