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POHadoop job running in local mode. But Oozie jobs running in distributed mode
 

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    <p>On our cluster, even the simplest job "wordcount" is running in local mode. But there are previous jobs run using oozie, we observe that they run in cluster mode. Is there a conflict of native hadoop jobs with the hadoop jobs run using oozie? Here is the error stack trace-</p> <pre><code>java.lang.IllegalArgumentException: Can't read partitions file at org.apache.hadoop.hbase.mapreduce.hadoopbackport.TotalOrderPartitioner.setConf(TotalOrderPartitioner.java:111) at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:62) at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:117) at org.apache.hadoop.mapred.MapTask$NewOutputCollector.&lt;init&gt;(MapTask.java:560) at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:639) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:323) at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:210) </code></pre> <p>Caused by: java.io.FileNotFoundException: File _partition.lst does not exist. at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:408) at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:251) at org.apache.hadoop.fs.FileSystem.getLength(FileSystem.java:825) at org.apache.hadoop.io.SequenceFile$Reader.(SequenceFile.java:1480) at org.apache.hadoop.io.SequenceFile$Reader.(SequenceFile.java:1475) at org.apache.hadoop.hbase.mapreduce.hadoopbackport.TotalOrderPartitioner.readPartitions(TotalOrderPartitioner.java:296) at org.apache.hadoop.hbase.mapreduce.hadoopbackport.TotalOrderPartitioner.setConf(TotalOrderPartitioner.java:82)</p> <p>Our job is running fine on a test cluster where we do not have Oozie installed. Hence not sure if the two things are related. Thanks in advance.</p> <p>We are using Cloudera distribution.</p>
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    1. COIf this helps, I have more details. Apparently, we are submitting the jobs locally. Hadoop is not configured to run the jobs submitted locally. So the job tracker is not running the jobs. So we are probably needed to change the following parameters in the job conf. mapred.job.tracker = <machinename>:8021 ; fs.default.name = hdfs://<machinename>:8020 ; hadoop.job.ugi", "hdfs:hadoop using conf.set in our code. I would like to keep the code unchanged and not hardcode things, rather would prefer a solution to modify hadoop conf files. Any help is greatly appreciated.
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