Advertisement
Guest User

lesson 3 job output

a guest
Sep 19th, 2014
228
0
Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 7.65 KB | None | 0 0
  1. hadoop jar /usr/lib/hadoop-0.20-mapreduce/contrib/streaming/hadoop-streaming-2.0.0-mr1-cdh4.1.1.jar -mapper lesson3Path_map.py -reducer lesson3Path_reduce.py -file lesson3Path_map.py -file lesson3Path_reduce.py -input classassign/access_log -output classassign/lesson3Path_output1
  2. packageJobJar: [lesson3Path_map.py, lesson3Path_reduce.py, /tmp/hadoop-training/hadoop-unjar1540235236570458142/] [] /tmp/streamjob2697070147933820048.jar tmpDir=null
  3. 14/09/19 19:49:24 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same.
  4. 14/09/19 19:49:25 WARN snappy.LoadSnappy: Snappy native library is available
  5. 14/09/19 19:49:25 INFO snappy.LoadSnappy: Snappy native library loaded
  6. 14/09/19 19:49:25 INFO mapred.FileInputFormat: Total input paths to process : 1
  7. 14/09/19 19:49:25 INFO streaming.StreamJob: getLocalDirs(): [/var/lib/hadoop-hdfs/cache/training/mapred/local]
  8. 14/09/19 19:49:25 INFO streaming.StreamJob: Running job: job_201409191321_0005
  9. 14/09/19 19:49:25 INFO streaming.StreamJob: To kill this job, run:
  10. 14/09/19 19:49:25 INFO streaming.StreamJob: UNDEF/bin/hadoop job -Dmapred.job.tracker=0.0.0.0:8021 -kill job_201409191321_0005
  11. 14/09/19 19:49:30 INFO streaming.StreamJob: Tracking URL: http://0.0.0.0:50030/jobdetails.jsp?jobid=job_201409191321_0005
  12. 14/09/19 19:49:31 INFO streaming.StreamJob: map 0% reduce 0%
  13. 14/09/19 19:49:44 INFO streaming.StreamJob: map 5% reduce 0%
  14. 14/09/19 19:49:47 INFO streaming.StreamJob: map 10% reduce 0%
  15. 14/09/19 19:49:50 INFO streaming.StreamJob: map 13% reduce 0%
  16. 14/09/19 19:49:53 INFO streaming.StreamJob: map 18% reduce 0%
  17. 14/09/19 19:49:56 INFO streaming.StreamJob: map 22% reduce 0%
  18. 14/09/19 19:49:59 INFO streaming.StreamJob: map 25% reduce 0%
  19. 14/09/19 19:50:11 INFO streaming.StreamJob: map 25% reduce 8%
  20. 14/09/19 19:50:14 INFO streaming.StreamJob: map 30% reduce 8%
  21. 14/09/19 19:50:17 INFO streaming.StreamJob: map 35% reduce 8%
  22. 14/09/19 19:50:20 INFO streaming.StreamJob: map 38% reduce 8%
  23. 14/09/19 19:50:23 INFO streaming.StreamJob: map 43% reduce 8%
  24. 14/09/19 19:50:26 INFO streaming.StreamJob: map 48% reduce 8%
  25. 14/09/19 19:50:29 INFO streaming.StreamJob: map 50% reduce 8%
  26. 14/09/19 19:50:35 INFO streaming.StreamJob: map 50% reduce 17%
  27. 14/09/19 19:50:42 INFO streaming.StreamJob: map 55% reduce 17%
  28. 14/09/19 19:50:46 INFO streaming.StreamJob: map 60% reduce 17%
  29. 14/09/19 19:50:49 INFO streaming.StreamJob: map 63% reduce 17%
  30. 14/09/19 19:50:52 INFO streaming.StreamJob: map 68% reduce 17%
  31. 14/09/19 19:50:55 INFO streaming.StreamJob: map 72% reduce 17%
  32. 14/09/19 19:50:58 INFO streaming.StreamJob: map 75% reduce 17%
  33. 14/09/19 19:51:05 INFO streaming.StreamJob: map 75% reduce 25%
  34. 14/09/19 19:51:13 INFO streaming.StreamJob: map 82% reduce 25%
  35. 14/09/19 19:51:17 INFO streaming.StreamJob: map 89% reduce 25%
  36. 14/09/19 19:51:20 INFO streaming.StreamJob: map 94% reduce 25%
  37. 14/09/19 19:51:23 INFO streaming.StreamJob: map 97% reduce 29%
  38. 14/09/19 19:51:26 INFO streaming.StreamJob: map 100% reduce 29%
  39. 14/09/19 19:51:30 INFO streaming.StreamJob: map 100% reduce 67%
  40. 14/09/19 19:51:39 INFO streaming.StreamJob: map 100% reduce 74%
  41. 14/09/19 19:51:42 INFO streaming.StreamJob: map 100% reduce 80%
  42. 14/09/19 19:51:45 INFO streaming.StreamJob: map 100% reduce 88%
  43. 14/09/19 19:51:48 INFO streaming.StreamJob: map 100% reduce 95%
  44. 14/09/19 19:51:53 INFO streaming.StreamJob: map 100% reduce 0%
  45. 14/09/19 19:52:03 INFO streaming.StreamJob: map 100% reduce 33%
  46. 14/09/19 19:52:06 INFO streaming.StreamJob: map 100% reduce 67%
  47. 14/09/19 19:52:12 INFO streaming.StreamJob: map 100% reduce 72%
  48. 14/09/19 19:52:15 INFO streaming.StreamJob: map 100% reduce 78%
  49. 14/09/19 19:52:18 INFO streaming.StreamJob: map 100% reduce 85%
  50. 14/09/19 19:52:21 INFO streaming.StreamJob: map 100% reduce 92%
  51. 14/09/19 19:52:24 INFO streaming.StreamJob: map 100% reduce 99%
  52. 14/09/19 19:52:28 INFO streaming.StreamJob: map 100% reduce 0%
  53. 14/09/19 19:52:35 INFO streaming.StreamJob: map 100% reduce 33%
  54. 14/09/19 19:52:38 INFO streaming.StreamJob: map 100% reduce 67%
  55. 14/09/19 19:52:44 INFO streaming.StreamJob: map 100% reduce 72%
  56. 14/09/19 19:52:47 INFO streaming.StreamJob: map 100% reduce 78%
  57. 14/09/19 19:52:50 INFO streaming.StreamJob: map 100% reduce 86%
  58. 14/09/19 19:52:53 INFO streaming.StreamJob: map 100% reduce 93%
  59. 14/09/19 19:52:56 INFO streaming.StreamJob: map 100% reduce 100%
  60. 14/09/19 19:53:00 INFO streaming.StreamJob: map 100% reduce 0%
  61. 14/09/19 19:53:07 INFO streaming.StreamJob: map 100% reduce 33%
  62. 14/09/19 19:53:10 INFO streaming.StreamJob: map 100% reduce 67%
  63. 14/09/19 19:53:19 INFO streaming.StreamJob: map 100% reduce 77%
  64. 14/09/19 19:53:22 INFO streaming.StreamJob: map 100% reduce 84%
  65. 14/09/19 19:53:25 INFO streaming.StreamJob: map 100% reduce 91%
  66. 14/09/19 19:53:28 INFO streaming.StreamJob: map 100% reduce 98%
  67. 14/09/19 19:53:33 INFO streaming.StreamJob: map 100% reduce 0%
  68. 14/09/19 19:53:39 INFO streaming.StreamJob: map 100% reduce 100%
  69. 14/09/19 19:53:39 INFO streaming.StreamJob: To kill this job, run:
  70. 14/09/19 19:53:39 INFO streaming.StreamJob: UNDEF/bin/hadoop job -Dmapred.job.tracker=0.0.0.0:8021 -kill job_201409191321_0005
  71. 14/09/19 19:53:44 INFO streaming.StreamJob: Tracking URL: http://0.0.0.0:50030/jobdetails.jsp?jobid=job_201409191321_0005
  72. 14/09/19 19:53:44 ERROR streaming.StreamJob: Job not successful. Error: NA
  73. 14/09/19 19:53:44 INFO streaming.StreamJob: killJob...
  74. Streaming Command Failed!
  75.  
  76.  
  77.  
  78.  
  79.  
  80.  
  81.  
  82.  
  83.  
  84.  
  85.  
  86. Hadoop job_201409191321_0005 on 0
  87. User: training
  88. Job Name: streamjob2697070147933820048.jar
  89. Job File: hdfs://0.0.0.0:8020/var/lib/hadoop-hdfs/cache/mapred/mapred/staging/training/.staging/job_201409191321_0005/job.xml
  90. Submit Host: localhost.localdomain
  91. Submit Host Address: 127.0.0.1
  92. Job-ACLs: All users are allowed
  93. Job Setup: Successful
  94. Status: Failed
  95. Failure Info:NA
  96. Started at: Fri Sep 19 19:49:25 EDT 2014
  97. Failed at: Fri Sep 19 19:53:39 EDT 2014
  98. Failed in: 4mins, 13sec
  99. Job Cleanup: Successful
  100. Black-listed TaskTrackers: 1
  101. Kind % Complete Num Tasks Pending Running Complete Killed Failed/Killed
  102. Task Attempts
  103. map 100.00%
  104. 8 0 0 8 0 0 / 0
  105. reduce 100.00%
  106. 1 0 0 0 1 4 / 0
  107.  
  108.  
  109. Counter Map Reduce Total
  110. File System Counters FILE: Number of bytes read 0 0 220,686,513
  111. FILE: Number of bytes written 0 0 442,878,696
  112. FILE: Number of read operations 0 0 0
  113. FILE: Number of large read operations 0 0 0
  114. FILE: Number of write operations 0 0 0
  115. HDFS: Number of bytes read 0 0 504,971,083
  116. HDFS: Number of bytes written 0 0 0
  117. HDFS: Number of read operations 0 0 16
  118. HDFS: Number of large read operations 0 0 0
  119. HDFS: Number of write operations 0 0 0
  120. Job Counters Failed reduce tasks 0 0 1
  121. Launched map tasks 0 0 8
  122. Launched reduce tasks 0 0 4
  123. Data-local map tasks 0 0 8
  124. Total time spent by all maps in occupied slots (ms) 0 0 234,791
  125. Total time spent by all reduces in occupied slots (ms) 0 0 212,095
  126. Total time spent by all maps waiting after reserving slots (ms) 0 0 0
  127. Total time spent by all reduces waiting after reserving slots (ms) 0 0 0
  128. Map-Reduce Framework Map input records 0 0 4,477,843
  129. Map output records 0 0 4,477,843
  130. Map output bytes 0 0 211,723,089
  131. Input split bytes 0 0 872
  132. Combine input records 0 0 0
  133. Combine output records 0 0 0
  134. Spilled Records 0 0 8,955,686
  135. CPU time spent (ms) 0 0 68,080
  136. Physical memory (bytes) snapshot 0 0 1,544,773,632
  137. Virtual memory (bytes) snapshot 0 0 3,105,579,008
  138. Total committed heap usage (bytes) 0 0 1,284,014,080
  139. org.apache.hadoop.mapreduce.lib.input.FileInputFormatCounter BYTES_READ 504,941,532 0 504,941,532
  140. Map Completion Graph - close
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement