Hi,
I've a partitioned table in Hive (Avro) that I can query alright from hive
cli.
When using SparkSQL, I'm able to query some of the partitions, but getting
exception on some of the partitions.
The query is:
sqlContext.sql("select * from myTable where source='http' and date =
20150812").take(5).foreach(println)
The exception is:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
in stage 2.0 failed 4 times, most recent failure: Lost task 0.3 in stage
2.0 (TID 5, node1): java.lang.IllegalArgumentException: Error: type
expected at the position 0 of
'BIGINT:INT:INT:INT:INT:string:INT:string:string:string:string:string:string:string:string:string:string:string:string:string:string:INT:INT:string:BIGINT:string:string:BIGINT:BIGINT:string:string:string:string:string:FLOAT:FLOAT:string:string:string:string:BIGINT:BIGINT:string:string:string:string:string:string:BIGINT:string:string'
but 'BIGINT' is found.
at
org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.expect(TypeInfoUtils.java:348)
at
org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.expect(TypeInfoUtils.java:331)
at
org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.parseType(TypeInfoUtils.java:392)
at
org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.parseTypeInfos(TypeInfoUtils.java:305)
at
org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils.getTypeInfosFromTypeString(TypeInfoUtils.java:762)
at
org.apache.hadoop.hive.serde2.avro.AvroSerDe.initialize(AvroSerDe.java:105)
at
org.apache.spark.sql.hive.HadoopTableReader$$anonfun$4$$anonfun$9.apply(TableReader.scala:191)
at
org.apache.spark.sql.hive.HadoopTableReader$$anonfun$4$$anonfun$9.apply(TableReader.scala:188)
at org.apache.spark.rdd.RDD$$anonfun$14.apply(RDD.scala:634)
at org.apache.spark.rdd.RDD$$anonfun$14.apply(RDD.scala:634)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:87)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
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)
Any pointers, what might be wrong here?
Regards,
Anand
