Dirceu Semighini Filho created SPARK-5797:
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Summary: ClassCastException when using BinaryType field in
schemardd
Key: SPARK-5797
URL: https://issues.apache.org/jira/browse/SPARK-5797
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.2.1, 1.2.0
Environment: Linux, Standalone
Reporter: Dirceu Semighini Filho
Priority: Minor
Load an dataset with a binaryfield into it.
Create a schemardd and set the binary field as BinaryType
Try to cache this rdd
Result:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
stage 10.0 failed 1 times, most recent failure: Lost task 0.0 in stage 10.0
(TID 11, localhost): java.lang.ClassCastException: java.lang.Boolean cannot be
cast to [B
at org.apache.spark.sql.columnar.BINARY$.getField(ColumnType.scala:403)
at org.apache.spark.sql.columnar.BINARY$.getField(ColumnType.scala:398)
at
org.apache.spark.sql.columnar.ByteArrayColumnType.actualSize(ColumnType.scala:383)
at
org.apache.spark.sql.columnar.BinaryColumnStats.gatherStats(ColumnStats.scala:256)
at
org.apache.spark.sql.columnar.NullableColumnBuilder$class.appendFrom(NullableColumnBuilder.scala:56)
at
org.apache.spark.sql.columnar.ComplexColumnBuilder.appendFrom(ColumnBuilder.scala:81)
at
org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1.next(InMemoryColumnarTableScan.scala:125)
at
org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1.next(InMemoryColumnarTableScan.scala:112)
at
org.apache.spark.storage.MemoryStore.unrollSafely(MemoryStore.scala:249)
at
org.apache.spark.CacheManager.putInBlockManager(CacheManager.scala:163)
at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:70)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:228)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:56)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Expected:
Should cache the rdd without any exception
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