[
https://issues.apache.org/jira/browse/SPARK-3039?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14238197#comment-14238197
]
Derrick Burns edited comment on SPARK-3039 at 12/8/14 6:24 PM:
---------------------------------------------------------------
Spark 1.1.1/Hadoop 1.0.4
{code}
java.lang.IncompatibleClassChangeError: Found class
org.apache.hadoop.mapreduce.TaskAttemptContext, but interface was expected
at
org.apache.spark.sql.parquet.AppendingParquetOutputFormat.getDefaultWorkFile(ParquetTableOperations.scala:334)
at
parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:251)
at
org.apache.spark.sql.parquet.InsertIntoParquetTable.org$apache$spark$sql$parquet$InsertIntoParquetTable$$writeShard$1(ParquetTableOperations.scala:300)
at
org.apache.spark.sql.parquet.InsertIntoParquetTable$$anonfun$saveAsHadoopFile$1.apply(ParquetTableOperations.scala:318)
at
org.apache.spark.sql.parquet.InsertIntoParquetTable$$anonfun$saveAsHadoopFile$1.apply(ParquetTableOperations.scala:318)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
at org.apache.spark.scheduler.Task.run(Task.scala:54)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)
14/12/08 10:21:06 ERROR executor.ExecutorUncaughtExceptionHandler: Uncaught
exception in thread Thread[Executor task launch worker-0,5,main]
java.lang.IncompatibleClassChangeError: Found class
org.apache.hadoop.mapreduce.TaskAttemptContext, but interface was expected
at
org.apache.spark.sql.parquet.AppendingParquetOutputFormat.getDefaultWorkFile(ParquetTableOperations.scala:334)
at
parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:251)
at
org.apache.spark.sql.parquet.InsertIntoParquetTable.org$apache$spark$sql$parquet$InsertIntoParquetTable$$writeShard$1(ParquetTableOperations.scala:300)
at
org.apache.spark.sql.parquet.InsertIntoParquetTable$$anonfun$saveAsHadoopFile$1.apply(ParquetTableOperations.scala:318)
at
org.apache.spark.sql.parquet.InsertIntoParquetTable$$anonfun$saveAsHadoopFile$1.apply(ParquetTableOperations.scala:318)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
at org.apache.spark.scheduler.Task.run(Task.scala:54)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)
{code}
was (Author: derrickburns):
Spark 1.1.1/Hadoop 1.0.4
{quote}
java.lang.IncompatibleClassChangeError: Found class
org.apache.hadoop.mapreduce.TaskAttemptContext, but interface was expected
at
org.apache.spark.sql.parquet.AppendingParquetOutputFormat.getDefaultWorkFile(ParquetTableOperations.scala:334)
at
parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:251)
at
org.apache.spark.sql.parquet.InsertIntoParquetTable.org$apache$spark$sql$parquet$InsertIntoParquetTable$$writeShard$1(ParquetTableOperations.scala:300)
at
org.apache.spark.sql.parquet.InsertIntoParquetTable$$anonfun$saveAsHadoopFile$1.apply(ParquetTableOperations.scala:318)
at
org.apache.spark.sql.parquet.InsertIntoParquetTable$$anonfun$saveAsHadoopFile$1.apply(ParquetTableOperations.scala:318)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
at org.apache.spark.scheduler.Task.run(Task.scala:54)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)
14/12/08 10:21:06 ERROR executor.ExecutorUncaughtExceptionHandler: Uncaught
exception in thread Thread[Executor task launch worker-0,5,main]
java.lang.IncompatibleClassChangeError: Found class
org.apache.hadoop.mapreduce.TaskAttemptContext, but interface was expected
at
org.apache.spark.sql.parquet.AppendingParquetOutputFormat.getDefaultWorkFile(ParquetTableOperations.scala:334)
at
parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:251)
at
org.apache.spark.sql.parquet.InsertIntoParquetTable.org$apache$spark$sql$parquet$InsertIntoParquetTable$$writeShard$1(ParquetTableOperations.scala:300)
at
org.apache.spark.sql.parquet.InsertIntoParquetTable$$anonfun$saveAsHadoopFile$1.apply(ParquetTableOperations.scala:318)
at
org.apache.spark.sql.parquet.InsertIntoParquetTable$$anonfun$saveAsHadoopFile$1.apply(ParquetTableOperations.scala:318)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
at org.apache.spark.scheduler.Task.run(Task.scala:54)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178)
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:744)
{quote}
> Spark assembly for new hadoop API (hadoop 2) contains avro-mapred for hadoop
> 1 API
> ----------------------------------------------------------------------------------
>
> Key: SPARK-3039
> URL: https://issues.apache.org/jira/browse/SPARK-3039
> Project: Spark
> Issue Type: Bug
> Components: Build, Input/Output, Spark Core
> Affects Versions: 0.9.1, 1.0.0, 1.1.0
> Environment: hadoop2, hadoop-2.4.0, HDP-2.1
> Reporter: Bertrand Bossy
> Assignee: Bertrand Bossy
> Fix For: 1.2.0
>
>
> The spark assembly contains the artifact "org.apache.avro:avro-mapred" as a
> dependency of "org.spark-project.hive:hive-serde".
> The avro-mapred package provides a hadoop FileInputFormat to read and write
> avro files. There are two versions of this package, distinguished by a
> classifier. avro-mapred for the new Hadoop API uses the classifier "hadoop2".
> avro-mapred for the old Hadoop API uses no classifier.
> E.g. when reading avro files using
> {code}
> sc.newAPIHadoopFile[AvroKey[SomeClass]],NullWritable,AvroKeyInputFormat[SomeClass]]("hdfs://path/to/file.avro")
> {code}
> The following error occurs:
> {code}
> java.lang.IncompatibleClassChangeError: Found interface
> org.apache.hadoop.mapreduce.TaskAttemptContext, but class was expected
> at
> org.apache.avro.mapreduce.AvroKeyInputFormat.createRecordReader(AvroKeyInputFormat.java:47)
> at
> org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:111)
> at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:99)
> at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:61)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> at org.apache.spark.rdd.FilteredRDD.compute(FilteredRDD.scala:34)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:158)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
> at org.apache.spark.scheduler.Task.run(Task.scala:51)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
> 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:744)
> {code}
> This error usually is a hint that there was a mix up of the old and the new
> Hadoop API. As a work-around, if avro-mapred for hadoop2 is "forced" to
> appear before the version that is bundled with Spark, reading avro files
> works fine.
> Also, if Spark is built using avro-mapred for hadoop2, it works fine as well.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
