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From "Ganesh Krishnan (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-13795) ClassCast Exception while attempting to show() a DataFrame
Date Thu, 10 Mar 2016 04:06:40 GMT

    [ https://issues.apache.org/jira/browse/SPARK-13795?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15188636#comment-15188636
] 

Ganesh Krishnan commented on SPARK-13795:
-----------------------------------------

This is similar to this Scala bug: https://issues.scala-lang.org/browse/SI-6337

> ClassCast Exception while attempting to show() a DataFrame
> ----------------------------------------------------------
>
>                 Key: SPARK-13795
>                 URL: https://issues.apache.org/jira/browse/SPARK-13795
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.6.0
>         Environment: Linux 14.04 LTS
>            Reporter: Ganesh Krishnan
>
> DataFrame Schema (by printSchema() ) is as follows
> allDataJoined.printSchema() 
>  |-- eventType: string (nullable = true)
>  |-- itemId: string (nullable = true)
>  |-- productId: string (nullable = true)
>  |-- productVersion: string (nullable = true)
>  |-- servicedBy: string (nullable = true)
>  |-- ACCOUNT_NAME: string (nullable = true)
>  |-- CONTENTGROUPID: string (nullable = true)
>  |-- PRODUCT_ID: string (nullable = true)
>  |-- PROFILE_ID: string (nullable = true)
>  |-- SALESADVISEREMAIL: string (nullable = true)
>  |-- businessName: string (nullable = true)
>  |-- contentGroupId: string (nullable = true)
>  |-- salesAdviserName: string (nullable = true)
>  |-- salesAdviserPhone: string (nullable = true)
> There is NO column that has any datatype except String. There used to be previously an
inferred column of type long that was dropped  
>  
> DataFrame allDataJoined = whiteEventJoinedWithReference.
>                        drop(rliDataFrame.col("occurredAtDate"));
> allDataJoined.printSchema() : output above ^^
> Now 
> allDataJoined.show() throws the following exception vv
> java.lang.ClassCastException: java.lang.Long cannot be cast to java.lang.Integer
> 	at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:106)
> 	at scala.math.Ordering$Int$.compare(Ordering.scala:256)
> 	at scala.math.Ordering$class.gt(Ordering.scala:97)
> 	at scala.math.Ordering$Int$.gt(Ordering.scala:256)
> 	at org.apache.spark.sql.catalyst.expressions.GreaterThan.nullSafeEval(predicates.scala:457)
> 	at org.apache.spark.sql.catalyst.expressions.BinaryExpression.eval(Expression.scala:383)
> 	at org.apache.spark.sql.catalyst.expressions.And.eval(predicates.scala:238)
> 	at org.apache.spark.sql.catalyst.expressions.InterpretedPredicate$$anonfun$create$2.apply(predicates.scala:38)
> 	at org.apache.spark.sql.catalyst.expressions.InterpretedPredicate$$anonfun$create$2.apply(predicates.scala:38)
> 	at org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun$prunePartitions$1.apply(DataSourceStrategy.scala:257)
> 	at org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun$prunePartitions$1.apply(DataSourceStrategy.scala:257)
> 	at scala.collection.TraversableLike$$anonfun$filter$1.apply(TraversableLike.scala:264)
> 	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> 	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> 	at scala.collection.TraversableLike$class.filter(TraversableLike.scala:263)
> 	at scala.collection.AbstractTraversable.filter(Traversable.scala:105)
> 	at org.apache.spark.sql.execution.datasources.DataSourceStrategy$.prunePartitions(DataSourceStrategy.scala:257)
> 	at org.apache.spark.sql.execution.datasources.DataSourceStrategy$.apply(DataSourceStrategy.scala:82)
> 	at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> 	at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> 	at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> 	at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:59)
> 	at org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPlanner.scala:54)
> 	at org.apache.spark.sql.execution.SparkStrategies$EquiJoinSelection$.makeBroadcastHashJoin(SparkStrategies.scala:88)
> 	at org.apache.spark.sql.execution.SparkStrategies$EquiJoinSelection$.apply(SparkStrategies.scala:97)
> 	at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> 	at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> 	at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> 	at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:59)
> 	at org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPlanner.scala:54)
> 	at org.apache.spark.sql.execution.SparkStrategies$BasicOperators$.apply(SparkStrategies.scala:336)
> 	at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> 	at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> 	at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> 	at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:59)
> 	at org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPlanner.scala:54)
> 	at org.apache.spark.sql.execution.SparkStrategies$BasicOperators$.apply(SparkStrategies.scala:349)
> 	at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> 	at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> 	at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> 	at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:59)
> 	at org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:47)
> 	at org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:45)
> 	at org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:52)
> 	at org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:52)
> 	at org.apache.spark.sql.DataFrame.withCallback(DataFrame.scala:2134)
> 	at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1413)
> 	at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1495)
> 	at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:171)
> 	at org.apache.spark.sql.DataFrame.show(DataFrame.scala:394)
> 	at org.apache.spark.sql.DataFrame.show(DataFrame.scala:355)
> 	at org.apache.spark.sql.DataFrame.show(DataFrame.scala:363)
> Checked, googled, stackoverflowed with no results.
> Somehow it was trying to cast a value of the dropped column 20160100 to int (even though
debugging shows it as Long value: bigint)
>  Also, we use Java and not Scala.



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