We/I are/am making progress. Now I get the error:
13/04/30 12:59:40 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same. 13/04/30 12:59:40 INFO mapred.JobClient: Cleaning up the staging area hdfs://devubuntu05:9000/data/hadoop/tmp/hadoop-mapred/mapred/staging/kevin/. staging/job_201304301251_0003 13/04/30 12:59:40 ERROR security.UserGroupInformation: PriviledgedActionException as:kevin (auth:SIMPLE) cause:org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: hdfs://devubuntu05:9000/user/kevin/input Exception in thread "main" org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: hdfs://devubuntu05:9000/user/kevin/input When I run it with java -jar the input and output is the local folder. When running it with hadoop jar it seems to be expecting the folders (input and output) to be on the HDFS file system. I am not sure why these two methods of invocation don't make the same file system assumptions. It is hadoop jar WordCount.jar input output (which gives the above exception) versus java -jar WordCount.jar input output (which outputs the wordcount statistics to the output folder) This is run in the local /home/kevin/WordCount folder. Kevin From: Mohammad Tariq [mailto:donta...@gmail.com] Sent: Tuesday, April 30, 2013 12:33 PM To: user@hadoop.apache.org Subject: Re: Can't initialize cluster Set "HADOOP_MAPRED_HOME" in your hadoop-env.sh file and re-run the job. See if it helps. Warm Regards, Tariq https://mtariq.jux.com/ cloudfront.blogspot.com On Tue, Apr 30, 2013 at 10:10 PM, Kevin Burton <rkevinbur...@charter.net> wrote: To be clear when this code is run with 'java -jar' it runs without exception. The exception occurs when I run with 'hadoop jar'. From: Kevin Burton [mailto:rkevinbur...@charter.net] Sent: Tuesday, April 30, 2013 11:36 AM To: user@hadoop.apache.org Subject: Can't initialize cluster I have a simple MapReduce job that I am trying to get to run on my cluster. When I run it I get: 13/04/30 11:27:45 INFO mapreduce.Cluster: Failed to use org.apache.hadoop.mapred.LocalClientProtocolProvider due to error: Invalid "mapreduce.jobtracker.address" configuration value for LocalJobRunner : "devubuntu05:9001" 13/04/30 11:27:45 ERROR security.UserGroupInformation: PriviledgedActionException as:kevin (auth:SIMPLE) cause:java.io.IOException: Cannot initialize Cluster. Please check your configuration for mapreduce.framework.name and the correspond server addresses. Exception in thread "main" java.io.IOException: Cannot initialize Cluster. Please check your configuration for mapreduce.framework.name and the correspond server addresses. My core-site.xml looks like: <property> <name>fs.default.name</name> <value>hdfs://devubuntu05:9000</value> <description>The name of the default file system. A URI whose scheme and authority determine the FileSystem implementation. </description> </property> So I am unclear as to why it is looking at devubuntu05:9001? Here is the code: public static void WordCount( String[] args ) throws Exception { Configuration conf = new Configuration(); String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs(); if (otherArgs.length != 2) { System.err.println("Usage: wordcount <in> <out>"); System.exit(2); } Job job = new Job(conf, "word count"); job.setJarByClass(WordCount.class); job.setMapperClass(WordCount.TokenizerMapper.class); job.setCombinerClass(WordCount.IntSumReducer.class); job.setReducerClass(WordCount.IntSumReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); org.apache.hadoop.mapreduce.lib.input.FileInputFormat.addInputPath(job, new Path(otherArgs[0])); org.apache.hadoop.mapreduce.lib.output.FileOutputFormat.setOutputPath(job, new Path(otherArgs[1])); System.exit(job.waitForCompletion(true) ? 0 : 1); Ideas?
