Ganesh Krishnan created SPARK-13795:
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Summary: 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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