Hi,
My data looks like this:
+-----------+----------------------------+----------+
| col_name | data_type | comment |
+-----------+----------------------------+----------+
| cust_id | string | |
| part_num | int | |
| ip_list | array<struct<ip:string>> | |
| vid_list | array<struct<vid:string>> | |
| fso_list | array<struct<fso:string>> | |
| src | string | |
| date | int | |
+-----------+----------------------------+----------+
And I did select *, it reports ParquetDecodingException.
Is this type not supported in SparkSQL?
Detailed error message here:
Error: org.apache.spark.SparkException: Job aborted due to stage
failure: Task 0 in stage 27.0 failed 4 times, most recent failure:
Lost task 0.3 in stage 27.0 (TID 510, lvshdc5dn0542.lvs.paypal.com):
parquet.io.ParquetDecodingException:
Can not read value at 0 in block -1 in file hdfs://xxx/part-m-00000.gz.parquet
at
parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:213)
at
parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:204)
at
org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:143)
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:308)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
at scala.collection.AbstractIterator.to(Iterator.scala:1157)
at
scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
at
scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:122)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:122)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1498)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1498)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at org.apache.spark.executor.Executor$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:724)
Caused by: java.lang.ArrayIndexOutOfBoundsException: -1
at java.util.ArrayList.elementData(ArrayList.java:400)
at java.util.ArrayList.get(ArrayList.java:413)
at parquet.io.GroupColumnIO.getLast(GroupColumnIO.java:95)
at parquet.io.GroupColumnIO.getLast(GroupColumnIO.java:95)
at parquet.io.PrimitiveColumnIO.getLast(PrimitiveColumnIO.java:80)
at parquet.io.PrimitiveColumnIO.isLast(PrimitiveColumnIO.java:74)
at
parquet.io.RecordReaderImplementation.<init>(RecordReaderImplementation.java:290)
at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:131)
at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:96)
at
parquet.filter2.compat.FilterCompat$NoOpFilter.accept(FilterCompat.java:136)
at parquet.io.MessageColumnIO.getRecordReader(MessageColumnIO.java:96)
at
parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:126)
at
parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:193)
--
Jianshi Huang
LinkedIn: jianshi
Twitter: @jshuang
Github & Blog: http://huangjs.github.com/
