[jira] [Created] (CARBONDATA-3996) Show table extended like command throws java.lang.ArrayIndexOutOfBoundsException

[Akash R Nilugal (Jira)]

Venugopal Reddy K created CARBONDATA-3996:
---------------------------------------------

             Summary: Show table extended like command throws java.lang.ArrayIndexOutOfBoundsException
                 Key: CARBONDATA-3996
                 URL: https://issues.apache.org/jira/browse/CARBONDATA-3996
             Project: CarbonData
          Issue Type: Bug
          Components: spark-integration
    Affects Versions: 2.0.0
            Reporter: Venugopal Reddy K
             Fix For: 2.1.0


*Issue:*

Show table extended like command throws java.lang.ArrayIndexOutOfBoundsException

*Steps to reproduce:*

spark.sql("create table employee(id string, name string) stored as carbondata")
spark.sql("show table extended like 'emp*'").show(100, false)

*Exception stack:*

 
{code:java}
Exception in thread "main" java.lang.ArrayIndexOutOfBoundsException: 3Exception in thread "main" java.lang.ArrayIndexOutOfBoundsException: 3 at org.apache.spark.sql.catalyst.expressions.GenericInternalRow.genericGet(rows.scala:201) at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.getAs(rows.scala:35) at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.getUTF8String(rows.scala:46) at org.apache.spark.sql.catalyst.expressions.GenericInternalRow.getUTF8String(rows.scala:195) at org.apache.spark.sql.catalyst.InternalRow$$anonfun$getAccessor$8.apply(InternalRow.scala:136) at org.apache.spark.sql.catalyst.InternalRow$$anonfun$getAccessor$8.apply(InternalRow.scala:136) at org.apache.spark.sql.catalyst.expressions.BoundReference.eval(BoundAttribute.scala:44) at org.apache.spark.sql.catalyst.expressions.UnaryExpression.eval(Expression.scala:389) at org.apache.spark.sql.catalyst.expressions.Alias.eval(namedExpressions.scala:152) at org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:92) at org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation$$anonfun$apply$24$$anonfun$applyOrElse$23.apply(Optimizer.scala:1364) at org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation$$anonfun$apply$24$$anonfun$applyOrElse$23.apply(Optimizer.scala:1364) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation$$anonfun$apply$24.applyOrElse(Optimizer.scala:1364) at org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation$$anonfun$apply$24.applyOrElse(Optimizer.scala:1359) at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:258) at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:258) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:257) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.transformDown(AnalysisHelper.scala:149) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:263) at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:263) at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:328) at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:186) at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:326) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:263) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.transformDown(AnalysisHelper.scala:149) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:263) at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:263) at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:328) at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:186) at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:326) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:263) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.transformDown(AnalysisHelper.scala:149) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:247) at org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation$.apply(Optimizer.scala:1359) at org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation$.apply(Optimizer.scala:1358) at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:87) at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:84) at scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOptimized.scala:57) at scala.collection.IndexedSeqOptimized$class.foldLeft(IndexedSeqOptimized.scala:66) at scala.collection.mutable.WrappedArray.foldLeft(WrappedArray.scala:35) at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:84) at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:76) at scala.collection.immutable.List.foreach(List.scala:381) at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:76) at org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzycompute(QueryExecution.scala:67) at org.apache.spark.sql.execution.QueryExecution.optimizedPlan(QueryExecution.scala:67) at org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:73) at org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:69) at org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:78) at org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:78) at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3365) at org.apache.spark.sql.Dataset.head(Dataset.scala:2550) at org.apache.spark.sql.Dataset.take(Dataset.scala:2764) at org.apache.spark.sql.Dataset.getRows(Dataset.scala:254) at org.apache.spark.sql.Dataset.showString(Dataset.scala:291) at org.apache.spark.sql.Dataset.show(Dataset.scala:753) at org.apache.carbondata.examples.CarbonSessionExample$.myExample(CarbonSessionExample.scala:116) at org.apache.carbondata.examples.CarbonSessionExample$.main(CarbonSessionExample.scala:50) at org.apache.carbondata.examples.CarbonSessionExample.main(CarbonSessionExample.scala){code}
 



--
This message was sent by Atlassian Jira
(v8.3.4#803005)