以下は、Hadoopジョブの実行が成功した例です。Mapタスク、Reduceタスクが100%まで進捗し、エラーメッセージが出力されることなく、Hadoop実行シェルが終了しています。
[hadoop@hadoop1 hadoop01]$ cobhadoop.sh -conf conf/configuration.xml -files reduce.exe 14/04/24 10:20:41 INFO util.NativeCodeLoader: Loaded the native-hadoop library 14/04/24 10:20:41 WARN snappy.LoadSnappy: Snappy native library not loaded 14/04/24 10:20:41 INFO mapred.FileInputFormat: Total input paths to process : 1 14/04/24 10:20:41 INFO mapred.FileInputFormat: Total input paths to process : 1 14/04/24 10:20:41 INFO mapred.JobClient: Running job: job_201403281518_0347 14/04/24 10:20:42 INFO mapred.JobClient: map 0% reduce 0% 14/04/24 10:21:00 INFO mapred.JobClient: map 25% reduce 0% 14/04/24 10:21:01 INFO mapred.JobClient: map 50% reduce 0% 14/04/24 10:21:05 INFO mapred.JobClient: map 75% reduce 0% 14/04/24 10:21:07 INFO mapred.JobClient: map 100% reduce 0% 14/04/24 10:21:10 INFO mapred.JobClient: map 100% reduce 33% 14/04/24 10:21:13 INFO mapred.JobClient: map 100% reduce 100% 14/04/24 10:21:16 INFO mapred.JobClient: Job complete: job_201403281518_0347 14/04/24 10:21:16 INFO mapred.JobClient: Counters: 31 14/04/24 10:21:16 INFO mapred.JobClient: Job Counters 14/04/24 10:21:16 INFO mapred.JobClient: Launched reduce tasks=1 14/04/24 10:21:16 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=28884 14/04/24 10:21:16 INFO mapred.JobClient: Total time spent by all reduces waiting after reserving slots (ms)=0 14/04/24 10:21:16 INFO mapred.JobClient: Total time spent by all maps waiting after reserving slots (ms)=0 14/04/24 10:21:16 INFO mapred.JobClient: Launched map tasks=4 14/04/24 10:21:16 INFO mapred.JobClient: Data-local map tasks=4 14/04/24 10:21:16 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=12510 14/04/24 10:21:16 INFO mapred.JobClient: File Input Format Counters 14/04/24 10:21:16 INFO mapred.JobClient: Bytes Read=0 14/04/24 10:21:16 INFO mapred.JobClient: File Output Format Counters 14/04/24 10:21:16 INFO mapred.JobClient: Bytes Written=1260 14/04/24 10:21:16 INFO mapred.JobClient: FileSystemCounters 14/04/24 10:21:16 INFO mapred.JobClient: FILE_BYTES_READ=320586 14/04/24 10:21:16 INFO mapred.JobClient: HDFS_BYTES_READ=194818 14/04/24 10:21:16 INFO mapred.JobClient: FILE_BYTES_WRITTEN=809649 14/04/24 10:21:16 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=1260 14/04/24 10:21:16 INFO mapred.JobClient: Extjoiner.ExitStatus 14/04/24 10:21:16 INFO mapred.JobClient: reduce.00=0 14/04/24 10:21:16 INFO mapred.JobClient: Map-Reduce Framework 14/04/24 10:21:16 INFO mapred.JobClient: Map output materialized bytes=320604 14/04/24 10:21:16 INFO mapred.JobClient: Map input records=10020 14/04/24 10:21:16 INFO mapred.JobClient: Reduce shuffle bytes=320604 14/04/24 10:21:16 INFO mapred.JobClient: Spilled Records=20040 14/04/24 10:21:16 INFO mapred.JobClient: Map output bytes=300540 14/04/24 10:21:16 INFO mapred.JobClient: Total committed heap usage (bytes)=826540032 14/04/24 10:21:16 INFO mapred.JobClient: CPU time spent (ms)=5870 14/04/24 10:21:16 INFO mapred.JobClient: Map input bytes=190320 14/04/24 10:21:16 INFO mapred.JobClient: SPLIT_RAW_BYTES=1032 14/04/24 10:21:16 INFO mapred.JobClient: Combine input records=0 14/04/24 10:21:16 INFO mapred.JobClient: Reduce input records=10020 14/04/24 10:21:16 INFO mapred.JobClient: Reduce input groups=40 14/04/24 10:21:16 INFO mapred.JobClient: Combine output records=0 14/04/24 10:21:16 INFO mapred.JobClient: Physical memory (bytes) snapshot=877379584 14/04/24 10:21:16 INFO mapred.JobClient: Reduce output records=20 14/04/24 10:21:16 INFO mapred.JobClient: Virtual memory (bytes) snapshot=4984156160 14/04/24 10:21:16 INFO mapred.JobClient: Map output records=10020 [hadoop@hadoop1 hadoop01]$
