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From "Saurabh Santhosh (Jira)" <j...@apache.org>
Subject [jira] [Created] (SPARK-28897) Invalid usage of '*' in expression 'coalesce' error when executing dataframe.na.fill(0)
Date Wed, 28 Aug 2019 10:27:00 GMT
Saurabh Santhosh created SPARK-28897:
----------------------------------------

             Summary: Invalid usage of '*' in expression 'coalesce' error when executing dataframe.na.fill(0)
                 Key: SPARK-28897
                 URL: https://issues.apache.org/jira/browse/SPARK-28897
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 2.4.0
            Reporter: Saurabh Santhosh


Getting the following error when trying to execute the given statements

 
{code:java}
var df = spark.sql(s"select * from default.test_table")
df.na.fill(0)
{code}
This error happens when the following property is set
{code:java}
spark.sql("set spark.sql.parser.quotedRegexColumnNames=true")
{code}
Error :
{code:java}
org.apache.spark.sql.AnalysisException: Invalid usage of '*' in expression 'coalesce';  
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:42)
  at org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:95)   at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$expandStarExpression$1.applyOrElse(Analyzer.scala:1021)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$expandStarExpression$1.applyOrElse(Analyzer.scala:997)
  at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:278)
  at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:278)
  at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)  
at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:277)   at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:275)
  at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:275)  
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:326)   at
org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)   at
org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:324)   at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:275)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$.expandStarExpression(Analyzer.scala:997)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveReferences$$buildExpandedProjectList$1.apply(Analyzer.scala:982)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveReferences$$buildExpandedProjectList$1.apply(Analyzer.scala:977)
  at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
  at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
  at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)   at
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)   at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
  at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)   at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$.org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveReferences$$buildExpandedProjectList(Analyzer.scala:977)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$9.applyOrElse(Analyzer.scala:905)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$9.applyOrElse(Analyzer.scala:900)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsUp$1$$anonfun$apply$1.apply(AnalysisHelper.scala:90)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsUp$1$$anonfun$apply$1.apply(AnalysisHelper.scala:90)
  at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)  
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsUp$1.apply(AnalysisHelper.scala:89)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsUp$1.apply(AnalysisHelper.scala:86)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:194)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.resolveOperatorsUp(AnalysisHelper.scala:86)
  at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsUp(LogicalPlan.scala:29)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$.apply(Analyzer.scala:900)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$.apply(Analyzer.scala:758)
  at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:87)
  at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:84)
  at scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124)  
at scala.collection.immutable.List.foldLeft(List.scala:84)   at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:84)
  at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:76)
  at scala.collection.immutable.List.foreach(List.scala:392)   at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:76)
  at org.apache.spark.sql.catalyst.analysis.Analyzer.org$apache$spark$sql$catalyst$analysis$Analyzer$$executeSameContext(Analyzer.scala:127)
  at org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:121)   at org.apache.spark.sql.catalyst.analysis.Analyzer$$anonfun$executeAndCheck$1.apply(Analyzer.scala:106)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$$anonfun$executeAndCheck$1.apply(Analyzer.scala:105)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:201)
  at org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:105)
  at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:57)
  at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:55)   at
org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:47)   at
org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:79)   at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$withPlan(Dataset.scala:3407)
  at org.apache.spark.sql.Dataset.select(Dataset.scala:1335)   at org.apache.spark.sql.DataFrameNaFunctions.fillValue(DataFrameNaFunctions.scala:507)
{code}
 



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