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Posted to mapreduce-dev@hadoop.apache.org by EdwardKing <zh...@neusoft.com> on 2014/02/24 09:39:39 UTC
hadoop run avro error
I use hadoop 2.2.0 to run avro, I know hadoop contains avro-1.7.4.jar,like follows:
[hadoop@master lib]$ pwd
/home/software/hadoop-2.2.0/share/hadoop/common/lib
[hadoop@master lib]$ ls av*
avro-1.7.4.jar
Then I put avro-1.7.4.jar into classpath
$export CLASSPATH=.:/home/software/hadoop-2.2.0/share/hadoop/common/lib/avro-1.7.4.jar:${CLASSPATH}
My code is follows:
public int run(String[] args) throws Exception{
JobConf conf=new JobConf(getConf(),getClass());
conf.setJobName("UFO count");
String[] otherArgs=new GenericOptionsParser(conf,args).getRemainingArgs();
if(otherArgs.length!=2){
System.err.println("Usage: avro UFO counter <in><out>");
System.exit(2);
}
FileInputFormat.addInputPath(conf,new Path(otherArgs[0]));
Path outputPath=new Path(otherArgs[1]);
FileOutputFormat.setOutputPath(conf,outputPath);
outputPath.getFileSystem(conf).delete(outputPath);
Schema input_schema=Schema.parse(getClass().getResourceAsStream("ufo.avsc"));
AvroJob.setInputSchema(conf,input_schema);
AvroJob.setMapOutputSchema(conf,Pair.getPairSchema(Schema.create(Schema.Type.STRING),Schema.create(Schema.Type.LONG)));
AvroJob.setOutputSchema(conf,OUTPUT_SCHEMA);
AvroJob.setMapperClass(conf,AvroRecordMapper.class);
AvroJob.setReducerClass(conf,AvroRecordReducer.class);
conf.setInputFormat(AvroInputFormat.class);
JobClient.runJob(conf); /*----------------AvroMR.java:41----------------*/
Then I run avro
[hadoop@master ~]$ hadoop jar avroufo.jar AvroMR avroin avroout
14/02/24 00:06:54 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
14/02/24 00:06:56 INFO client.RMProxy: Connecting to ResourceManager at master/172.11.12.6:8993
14/02/24 00:06:56 INFO client.RMProxy: Connecting to ResourceManager at master/172.11.12.6:8993
14/02/24 00:07:00 INFO mapred.FileInputFormat: Total input paths to process : 1
14/02/24 00:07:00 INFO mapreduce.JobSubmitter: number of splits:2
14/02/24 00:07:00 INFO Configuration.deprecation: user.name is deprecated. Instead, use mapreduce.job.user.name
14/02/24 00:07:00 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar
14/02/24 00:07:00 INFO Configuration.deprecation: mapred.output.key.comparator.class is deprecated. Instead, use mapreduce.job.output.key.comparator.class
14/02/24 00:07:00 INFO Configuration.deprecation: mapred.mapoutput.value.class is deprecated. Instead, use mapreduce.map.output.value.class
14/02/24 00:07:00 INFO Configuration.deprecation: mapred.used.genericoptionsparser is deprecated. Instead, use mapreduce.client.genericoptionsparser.used
14/02/24 00:07:00 INFO Configuration.deprecation: mapred.job.name is deprecated. Instead, use mapreduce.job.name
14/02/24 00:07:00 INFO Configuration.deprecation: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir
14/02/24 00:07:00 INFO Configuration.deprecation: mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir
14/02/24 00:07:00 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
14/02/24 00:07:00 INFO Configuration.deprecation: mapred.output.key.class is deprecated. Instead, use mapreduce.job.output.key.class
14/02/24 00:07:00 INFO Configuration.deprecation: mapred.mapoutput.key.class is deprecated. Instead, use mapreduce.map.output.key.class
14/02/24 00:07:00 INFO Configuration.deprecation: mapred.working.dir is deprecated. Instead, use mapreduce.job.working.dir
14/02/24 00:07:01 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1393229044702_0001
14/02/24 00:07:04 INFO impl.YarnClientImpl: Submitted application application_1393229044702_0001 to ResourceManager at master/172.11.12.6:8993
14/02/24 00:07:04 INFO mapreduce.Job: The url to track the job: http://master:8088/proxy/application_1393229044702_0001/
14/02/24 00:07:04 INFO mapreduce.Job: Running job: job_1393229044702_0001
14/02/24 00:07:59 INFO mapreduce.Job: Job job_1393229044702_0001 running in uber mode : false
14/02/24 00:07:59 INFO mapreduce.Job: map 0% reduce 0%
14/02/24 00:12:12 INFO mapreduce.Job: map 50% reduce 0%
14/02/24 00:12:13 INFO mapreduce.Job: Task Id : attempt_1393229044702_0001_m_000001_0, Status : FAILED
Error: org.apache.avro.generic.GenericData.createDatumWriter(Lorg/apache/avro/Schema;)Lorg/apache/avro/io/DatumWriter;
14/02/24 00:12:13 INFO mapreduce.Job: Task Id : attempt_1393229044702_0001_m_000000_0, Status : FAILED
Error: org.apache.avro.generic.GenericData.createDatumWriter(Lorg/apache/avro/Schema;)Lorg/apache/avro/io/DatumWriter;
14/02/24 00:12:14 INFO mapreduce.Job: map 0% reduce 0%
14/02/24 00:12:30 INFO mapreduce.Job: Task Id : attempt_1393229044702_0001_m_000001_1, Status : FAILED
Error: org.apache.avro.generic.GenericData.createDatumWriter(Lorg/apache/avro/Schema;)Lorg/apache/avro/io/DatumWriter;
14/02/24 00:12:31 INFO mapreduce.Job: Task Id : attempt_1393229044702_0001_m_000000_1, Status : FAILED
Error: org.apache.avro.generic.GenericData.createDatumWriter(Lorg/apache/avro/Schema;)Lorg/apache/avro/io/DatumWriter;
14/02/24 00:12:43 INFO mapreduce.Job: Task Id : attempt_1393229044702_0001_m_000001_2, Status : FAILED
Error: org.apache.avro.generic.GenericData.createDatumWriter(Lorg/apache/avro/Schema;)Lorg/apache/avro/io/DatumWriter;
14/02/24 00:12:44 INFO mapreduce.Job: Task Id : attempt_1393229044702_0001_m_000000_2, Status : FAILED
Error: org.apache.avro.generic.GenericData.createDatumWriter(Lorg/apache/avro/Schema;)Lorg/apache/avro/io/DatumWriter;
14/02/24 00:12:56 INFO mapreduce.Job: map 50% reduce 0%
14/02/24 00:12:57 INFO mapreduce.Job: map 100% reduce 100%
14/02/24 00:12:57 INFO mapreduce.Job: Job job_1393229044702_0001 failed with state FAILED due to: Task failed task_1393229044702_0001_m_000001
Job failed as tasks failed. failedMaps:1 failedReduces:0
14/02/24 00:12:57 INFO mapreduce.Job: Counters: 10
Job Counters
Failed map tasks=7
Killed map tasks=1
Launched map tasks=8
Other local map tasks=6
Data-local map tasks=2
Total time spent by all maps in occupied slots (ms)=571664
Total time spent by all reduces in occupied slots (ms)=0
Map-Reduce Framework
CPU time spent (ms)=0
Physical memory (bytes) snapshot=0
Virtual memory (bytes) snapshot=0
Exception in thread "main" java.io.IOException: Job failed!
at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:836)
at AvroMR.run(AvroMR.java:41)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at AvroMR.main(AvroMR.java:67)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:601)
at org.apache.hadoop.util.RunJar.main(RunJar.java:212)
[hadoop@master ~]$
I view the history of Track UI,I find following information:
2014-02-24 00:12:12,624 FATAL [main] org.apache.hadoop.mapred.YarnChild: Error running child : java.lang.NoSuchMethodError: org.apache.avro.generic.GenericData.createDatumWriter(Lorg/apache/avro/Schema;)Lorg/apache/avro/io/DatumWriter;
at org.apache.avro.mapred.AvroSerialization.getSerializer(AvroSerialization.java:107)
I know avro-1.7.4.jar contains org.apache.avro.generic.GenericData.createDatumWriter,why it still raise the error "java.lang.NoSuchMethodError"? How to correct it? Thanks.
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