Thanks for Gary I add mapreduce.job.user.classpath.first = true into mapred-site.xml file,like follows:
$ vi /home/software/hadoop-2.2.0/etc/hadoop/mapred-site.xml <configuration> <property> <name>mapreduce.framework.name</name> <value>yarn</value> </property> <property> <name>mapreduce.jobhistory.address</name> <value>master:10020</value> </property> <property> <name>mapreduce.jobhistory.webapp.address</name> <value>master:19888</value> </property> <property> <name>mapreduce.job.user.classpath.first</name> <value>true</value> </property> </configuration> then I run start-dfs.sh and start-yarn.sh, then I find http://172.11.12.6:8088/cluster can't visit. Where is wrong? Which configure file need i to modify? Thanks. ----- Original Message ----- From: Gary Steelman To: [email protected] Sent: Tuesday, February 25, 2014 12:05 AM Subject: Re: avro run error Hi EdwardKing, I had a similar issue come up last week, though mine was because I was trying to use Avro 1.7.5 instead of 1.7.4. After some Googling I found a MapReduce job config parameter you can change which solved my problem. It turns out that Hadoop places jars it ships with BEFORE user defined jars on the classpath by default. This means that if you specify Avro and Hadoop specifies Avro, its version (1.7.4) goes first. I needed MY jars to come first so I could use updated versions of Avro and other libraries. The parameter I changed is this: mapreduce.job.user.classpath.first = true Please see these two links for more details: http://www.kiji.org/2013/10/08/fixing-classpath-ordering-issues-in-hadoop/ + https://groups.google.com/a/cloudera.org/forum/#!topic/cdh-user/kiWv2PFjT1s Good luck, Gary On Mon, Feb 24, 2014 at 2:45 AM, EdwardKing <[email protected]> wrote: 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. --------------------------------------------------------------------------------------------------- Confidentiality Notice: The information contained in this e-mail and any accompanying attachment(s) is intended only for the use of the intended recipient and may be confidential and/or privileged of Neusoft Corporation, its subsidiaries and/or its affiliates. If any reader of this communication is not the intended recipient, unauthorized use, forwarding, printing, storing, disclosure or copying is strictly prohibited, and may be unlawful.If you have received this communication in error,please immediately notify the sender by return e-mail, and delete the original message and all copies from your system. Thank you. --------------------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------------------- Confidentiality Notice: The information contained in this e-mail and any accompanying attachment(s) is intended only for the use of the intended recipient and may be confidential and/or privileged of Neusoft Corporation, its subsidiaries and/or its affiliates. If any reader of this communication is not the intended recipient, unauthorized use, forwarding, printing, storing, disclosure or copying is strictly prohibited, and may be unlawful.If you have received this communication in error,please immediately notify the sender by return e-mail, and delete the original message and all copies from your system. Thank you. ---------------------------------------------------------------------------------------------------
