Jerryjung created SPARK-18220:
---------------------------------
Summary: ClassCastException occurs when using select query on ORC
file
Key: SPARK-18220
URL: https://issues.apache.org/jira/browse/SPARK-18220
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.1.0
Environment: ORC dump info.
==========================================================
File Version: 0.12 with HIVE_8732
16/11/02 16:39:21 INFO orc.ReaderImpl: Reading ORC rows from
hdfs://XXX/part-00000 with {include: null, offset: 0, length:
9223372036854775807}
16/11/02 16:39:21 INFO orc.RecordReaderFactory: Schema is not specified on
read. Using file schema.
Rows: 7
Compression: ZLIB
Compression size: 262144
Type:
struct<a:varchar(2),b(50),c:varchar(6),d:varchar(50),e:varchar(4),f:varchar(50),g:timestamp>
Reporter: Jerryjung
Error message is below.
==========================================================
16/11/02 16:38:09 INFO ReaderImpl: Reading ORC rows from hdfs://xxx/part-00022
with {include: [true], offset: 0, length: 9223372036854775807}
16/11/02 16:38:09 INFO Executor: Finished task 17.0 in stage 22.0 (TID 42).
1220 bytes result sent to driver
16/11/02 16:38:09 INFO TaskSetManager: Finished task 17.0 in stage 22.0 (TID
42) in 116 ms on localhost (executor driver) (19/20)
16/11/02 16:38:09 ERROR Executor: Exception in task 10.0 in stage 22.0 (TID 35)
java.lang.ClassCastException:
org.apache.hadoop.hive.serde2.io.HiveVarcharWritable cannot be cast to
org.apache.hadoop.io.Text
at
org.apache.hadoop.hive.serde2.objectinspector.primitive.WritableStringObjectInspector.getPrimitiveWritableObject(WritableStringObjectInspector.java:41)
at
org.apache.spark.sql.hive.HiveInspectors$$anonfun$unwrapperFor$23.apply(HiveInspectors.scala:526)
at
org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$15.apply(TableReader.scala:419)
at
org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$15.apply(TableReader.scala:419)
at
org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:435)
at
org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:426)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:232)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:225)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:804)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:804)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
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