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[经验分享] Hadoop MapReduce编程 API入门系列之二次排序(十六)

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发表于 2017-12-18 11:10:41 | 显示全部楼层 |阅读模式
2016-12-12 17:04:32,012 INFO [org.apache.hadoop.metrics.jvm.JvmMetrics] - Initializing JVM Metrics with processName=JobTracker, sessionId=  
2016-12-12 17:04:33,056 WARN [org.apache.hadoop.mapreduce.JobSubmitter] - Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.

  
2016-12-12 17:04:33,059 WARN [org.apache.hadoop.mapreduce.JobSubmitter] - No job jar file set. User>  
2016-12-12 17:04:33,083 INFO [org.apache.hadoop.mapreduce.lib.input.FileInputFormat] - Total input paths to process : 1
  
2016-12-12 17:04:33,161 INFO [org.apache.hadoop.mapreduce.JobSubmitter] - number of splits:1
  
2016-12-12 17:04:33,562 INFO [org.apache.hadoop.mapreduce.JobSubmitter] - Submitting tokens for job: job_local1173601391_0001
  
2016-12-12 17:04:34,242 INFO [org.apache.hadoop.mapreduce.Job] - The url to track the job: http://localhost:8080/
  
2016-12-12 17:04:34,244 INFO [org.apache.hadoop.mapreduce.Job] - Running job: job_local1173601391_0001
  
2016-12-12 17:04:34,247 INFO [org.apache.hadoop.mapred.LocalJobRunner] - OutputCommitter set in config null
  
2016-12-12 17:04:34,264 INFO [org.apache.hadoop.mapred.LocalJobRunner] - OutputCommitter is org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter
  
2016-12-12 17:04:34,371 INFO [org.apache.hadoop.mapred.LocalJobRunner] - Waiting for map tasks
  
2016-12-12 17:04:34,373 INFO [org.apache.hadoop.mapred.LocalJobRunner] - Starting task: attempt_local1173601391_0001_m_000000_0
  
2016-12-12 17:04:34,439 INFO [org.apache.hadoop.yarn.util.ProcfsBasedProcessTree] - ProcfsBasedProcessTree currently is supported only on Linux.
  
2016-12-12 17:04:34,667 INFO [org.apache.hadoop.mapred.Task] - Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@65bb90dc
  
2016-12-12 17:04:34,676 INFO [org.apache.hadoop.mapred.MapTask] - Processing split: file:/D:/Code/MyEclipseJavaCode/myMapReduce/data/secondarySort/secondarySort.txt:0+120
  
2016-12-12 17:04:34,762 INFO [org.apache.hadoop.mapred.MapTask] - (EQUATOR) 0 kvi 26214396(104857584)
  
2016-12-12 17:04:34,763 INFO [org.apache.hadoop.mapred.MapTask] - mapreduce.task.io.sort.mb: 100
  
2016-12-12 17:04:34,763 INFO [org.apache.hadoop.mapred.MapTask] - soft limit at 83886080
  
2016-12-12 17:04:34,763 INFO [org.apache.hadoop.mapred.MapTask] - bufstart = 0; bufvoid = 104857600
  
2016-12-12 17:04:34,763 INFO [org.apache.hadoop.mapred.MapTask] - kvstart = 26214396; length = 6553600

  
2016-12-12 17:04:34,771 INFO [org.apache.hadoop.mapred.MapTask] - Map output collector>  
2016-12-12 17:04:34,789 INFO [org.apache.hadoop.mapred.LocalJobRunner] -
  
2016-12-12 17:04:34,789 INFO [org.apache.hadoop.mapred.MapTask] - Starting flush of map output
  
2016-12-12 17:04:34,789 INFO [org.apache.hadoop.mapred.MapTask] - Spilling map output
  
2016-12-12 17:04:34,789 INFO [org.apache.hadoop.mapred.MapTask] - bufstart = 0; bufend = 216; bufvoid = 104857600
  
2016-12-12 17:04:34,790 INFO [org.apache.hadoop.mapred.MapTask] - kvstart = 26214396(104857584); kvend = 26214328(104857312); length = 69/6553600
  
2016-12-12 17:04:34,809 INFO [org.apache.hadoop.mapred.MapTask] - Finished spill 0
  
2016-12-12 17:04:34,818 INFO [org.apache.hadoop.mapred.Task] - Task:attempt_local1173601391_0001_m_000000_0 is done. And is in the process of committing
  
2016-12-12 17:04:34,838 INFO [org.apache.hadoop.mapred.LocalJobRunner] - map
  
2016-12-12 17:04:34,838 INFO [org.apache.hadoop.mapred.Task] - Task 'attempt_local1173601391_0001_m_000000_0' done.
  
2016-12-12 17:04:34,838 INFO [org.apache.hadoop.mapred.LocalJobRunner] - Finishing task: attempt_local1173601391_0001_m_000000_0
  
2016-12-12 17:04:34,839 INFO [org.apache.hadoop.mapred.LocalJobRunner] - map task executor complete.
  
2016-12-12 17:04:34,846 INFO [org.apache.hadoop.mapred.LocalJobRunner] - Waiting for reduce tasks
  
2016-12-12 17:04:34,846 INFO [org.apache.hadoop.mapred.LocalJobRunner] - Starting task: attempt_local1173601391_0001_r_000000_0
  
2016-12-12 17:04:34,864 INFO [org.apache.hadoop.yarn.util.ProcfsBasedProcessTree] - ProcfsBasedProcessTree currently is supported only on Linux.
  
2016-12-12 17:04:34,950 INFO [org.apache.hadoop.mapred.Task] - Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@59b59452
  
2016-12-12 17:04:34,954 INFO [org.apache.hadoop.mapred.ReduceTask] - Using ShuffleConsumerPlugin: org.apache.hadoop.mapreduce.task.reduce.Shuffle@73d5cf65
  
2016-12-12 17:04:34,974 INFO [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] - MergerManager: memoryLimit=1327077760, maxSingleShuffleLimit=331769440, mergeThreshold=875871360, ioSortFactor=10, memToMemMergeOutputsThreshold=10
  
2016-12-12 17:04:35,011 INFO [org.apache.hadoop.mapreduce.task.reduce.EventFetcher] - attempt_local1173601391_0001_r_000000_0 Thread started: EventFetcher for fetching Map Completion Events
  
2016-12-12 17:04:35,048 INFO [org.apache.hadoop.mapreduce.task.reduce.LocalFetcher] - localfetcher#1 about to shuffle output of map attempt_local1173601391_0001_m_000000_0 decomp: 254 len: 258 to MEMORY
  
2016-12-12 17:04:35,060 INFO [org.apache.hadoop.mapreduce.task.reduce.InMemoryMapOutput] - Read 254 bytes from map-output for attempt_local1173601391_0001_m_000000_0

  
2016-12-12 17:04:35,123 INFO [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] - closeInMemoryFile -> map-output of>  
2016-12-12 17:04:35,125 INFO [org.apache.hadoop.mapreduce.task.reduce.EventFetcher] - EventFetcher is interrupted.. Returning
  
2016-12-12 17:04:35,126 INFO [org.apache.hadoop.mapred.LocalJobRunner] - 1 / 1 copied.
  
2016-12-12 17:04:35,126 INFO [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] - finalMerge called with 1 in-memory map-outputs and 0 on-disk map-outputs
  
2016-12-12 17:04:35,136 INFO [org.apache.hadoop.mapred.Merger] - Merging 1 sorted segments

  
2016-12-12 17:04:35,137 INFO [org.apache.hadoop.mapred.Merger] - Down to the last merge-pass, with 1 segments left of total>  
2016-12-12 17:04:35,139 INFO [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] - Merged 1 segments, 254 bytes to disk to satisfy reduce memory limit
  
2016-12-12 17:04:35,139 INFO [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] - Merging 1 files, 258 bytes from disk
  
2016-12-12 17:04:35,140 INFO [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] - Merging 0 segments, 0 bytes from memory into reduce
  
2016-12-12 17:04:35,141 INFO [org.apache.hadoop.mapred.Merger] - Merging 1 sorted segments

  
2016-12-12 17:04:35,142 INFO [org.apache.hadoop.mapred.Merger] - Down to the last merge-pass, with 1 segments left of total>  
2016-12-12 17:04:35,143 INFO [org.apache.hadoop.mapred.LocalJobRunner] - 1 / 1 copied.
  
2016-12-12 17:04:35,150 INFO [org.apache.hadoop.conf.Configuration.deprecation] - mapred.skip.on is deprecated. Instead, use mapreduce.job.skiprecords
  
2016-12-12 17:04:35,158 INFO [org.apache.hadoop.mapred.Task] - Task:attempt_local1173601391_0001_r_000000_0 is done. And is in the process of committing
  
2016-12-12 17:04:35,160 INFO [org.apache.hadoop.mapred.LocalJobRunner] - 1 / 1 copied.
  
2016-12-12 17:04:35,160 INFO [org.apache.hadoop.mapred.Task] - Task attempt_local1173601391_0001_r_000000_0 is allowed to commit now
  
2016-12-12 17:04:35,166 INFO [org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter] - Saved output of task 'attempt_local1173601391_0001_r_000000_0' to file:/D:/Code/MyEclipseJavaCode/myMapReduce/out/secondarySort/_temporary/0/task_local1173601391_0001_r_000000
  
2016-12-12 17:04:35,167 INFO [org.apache.hadoop.mapred.LocalJobRunner] - reduce > reduce
  
2016-12-12 17:04:35,167 INFO [org.apache.hadoop.mapred.Task] - Task 'attempt_local1173601391_0001_r_000000_0' done.
  
2016-12-12 17:04:35,167 INFO [org.apache.hadoop.mapred.LocalJobRunner] - Finishing task: attempt_local1173601391_0001_r_000000_0
  
2016-12-12 17:04:35,168 INFO [org.apache.hadoop.mapred.LocalJobRunner] - reduce task executor complete.
  
2016-12-12 17:04:35,248 INFO [org.apache.hadoop.mapreduce.Job] - Job job_local1173601391_0001 running in uber mode : false
  
2016-12-12 17:04:35,249 INFO [org.apache.hadoop.mapreduce.Job] - map 100% reduce 100%
  
2016-12-12 17:04:35,251 INFO [org.apache.hadoop.mapreduce.Job] - Job job_local1173601391_0001 completed successfully
  
2016-12-12 17:04:35,271 INFO [org.apache.hadoop.mapreduce.Job] - Counters: 33
  
File System Counters
  
FILE: Number of bytes read=1186
  
FILE: Number of bytes written=394623
  
FILE: Number of read operations=0
  
FILE: Number of large read operations=0
  
FILE: Number of write operations=0
  
Map-Reduce Framework
  
Map input records=18
  
Map output records=18
  
Map output bytes=216
  
Map output materialized bytes=258
  
Input split bytes=145
  
Combine input records=0
  
Combine output records=0
  
Reduce input groups=4
  
Reduce shuffle bytes=258
  
Reduce input records=18
  
Reduce output records=18
  
Spilled Records=36
  
Shuffled Maps =1
  
Failed Shuffles=0
  
Merged Map outputs=1
  
GC time elapsed (ms)=0
  
CPU time spent (ms)=0
  
Physical memory (bytes) snapshot=0
  
Virtual memory (bytes) snapshot=0
  
Total committed heap usage (bytes)=534773760
  
Shuffle Errors
  
BAD_ID=0
  
CONNECTION=0
  
IO_ERROR=0
  
WRONG_LENGTH=0
  
WRONG_MAP=0
  
WRONG_REDUCE=0
  
File Input Format Counters
  
Bytes Read=120
  
File Output Format Counters
  
Bytes Written=115

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所有资源均系网友上传或者通过网络收集,我们仅提供一个展示、介绍、观摩学习的平台,我们不对其承担任何法律责任,如涉及侵犯版权等问题,请您及时通知我们,我们将立即处理,联系人Email:kefu@iyunv.com,QQ:1061981298 本贴地址:https://www.yunweiku.com/thread-425331-1-1.html 上篇帖子: Hadoop MapReduce编程 API入门系列之小文件合并(二十九) 下篇帖子: 程序员必须要知道的Hadoop的一些事实
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