看了一堆不太相关的东西...
其实只要解压运行即可,形如hadoop-0.20.xx,不过要注意jar的位置.
hadoop jar share/hadoop/hadoop-mapreduce/hadoop-example-xx.jar wordcount input output
接下来将进行cluster布署,加深了解新架构的动作流程.
12/06/17 11:59:01 WARN util.KerberosName: Kerberos krb5 configuration not found, setting default realm to empty
12/06/17 11:59:01 WARN conf.Configuration: session.id is deprecated. Instead, use dfs.metrics.session-id
12/06/17 11:59:01 INFO jvm.JvmMetrics: Initializing JVM Metrics with processName=JobTracker, sessionId=
12/06/17 11:59:01 INFO util.NativeCodeLoader: Loaded the native-hadoop library
12/06/17 11:59:01 INFO input.FileInputFormat: Total input paths to process : 1
12/06/17 11:59:01 WARN snappy.LoadSnappy: Snappy native library not loaded
12/06/17 11:59:02 INFO mapreduce.JobSubmitter: number of splits:1
12/06/17 11:59:02 WARN conf.Configuration: mapreduce.combine.class is deprecated. Instead, use mapreduce.job.combine.class
12/06/17 11:59:02 WARN conf.Configuration: mapred.jar is deprecated. Instead, use mapreduce.job.jar
12/06/17 11:59:02 WARN conf.Configuration: mapreduce.map.class is deprecated. Instead, use mapreduce.job.map.class
12/06/17 11:59:02 WARN conf.Configuration: mapred.job.name is deprecated. Instead, use mapreduce.job.name
12/06/17 11:59:02 WARN conf.Configuration: mapreduce.reduce.class is deprecated. Instead, use mapreduce.job.reduce.class
12/06/17 11:59:02 WARN conf.Configuration: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir
12/06/17 11:59:02 WARN conf.Configuration: mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir
12/06/17 11:59:02 WARN conf.Configuration: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
12/06/17 11:59:02 WARN conf.Configuration: mapred.output.value.class is deprecated. Instead, use mapreduce.job.output.value.class
12/06/17 11:59:02 WARN conf.Configuration: mapred.output.key.class is deprecated. Instead, use mapreduce.job.output.key.class
12/06/17 11:59:02 WARN conf.Configuration: mapred.working.dir is deprecated. Instead, use mapreduce.job.working.dir
12/06/17 11:59:02 WARN conf.Configuration: file:/tmp/hadoop-hadoop/mapred/staging/hadoop2008898472/.staging/job_local_0001/job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval; Ignoring.
12/06/17 11:59:02 WARN conf.Configuration: file:/tmp/hadoop-hadoop/mapred/staging/hadoop2008898472/.staging/job_local_0001/job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts; Ignoring.
12/06/17 11:59:02 WARN conf.Configuration: file:/tmp/hadoop-hadoop/mapred/local/localRunner/job_local_0001.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval; Ignoring.
12/06/17 11:59:02 WARN conf.Configuration: file:/tmp/hadoop-hadoop/mapred/local/localRunner/job_local_0001.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts; Ignoring.
12/06/17 11:59:02 INFO mapreduce.Job: The url to track the job: http://localhost:8080/
12/06/17 11:59:02 INFO mapreduce.Job: Running job: job_local_0001
12/06/17 11:59:02 INFO mapred.LocalJobRunner: OutputCommitter set in config null
12/06/17 11:59:02 INFO mapred.LocalJobRunner: OutputCommitter is org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter
12/06/17 11:59:02 INFO mapred.LocalJobRunner: Waiting for map tasks
12/06/17 11:59:02 INFO mapred.LocalJobRunner: Starting task: attempt_local_0001_m_000000_0
12/06/17 11:59:02 INFO mapred.Task: Using ResourceCalculatorPlugin : org.apache.hadoop.yarn.util.LinuxResourceCalculatorPlugin@2bc3f5
12/06/17 11:59:02 INFO mapred.MapTask: (EQUATOR) 0 kvi 26214396(104857584)
12/06/17 11:59:02 INFO mapred.MapTask: mapreduce.task.io.sort.mb: 100
12/06/17 11:59:02 INFO mapred.MapTask: soft limit at 83886080
12/06/17 11:59:02 INFO mapred.MapTask: bufstart = 0; bufvoid = 104857600
12/06/17 11:59:02 INFO mapred.MapTask: kvstart = 26214396; length = 6553600
12/06/17 11:59:02 INFO mapred.LocalJobRunner:
12/06/17 11:59:02 INFO mapred.MapTask: Starting flush of map output
12/06/17 11:59:02 INFO mapred.MapTask: Spilling map output
12/06/17 11:59:02 INFO mapred.MapTask: bufstart = 0; bufend = 2055; bufvoid = 104857600
12/06/17 11:59:02 INFO mapred.MapTask: kvstart = 26214396(104857584); kvend = 26213684(104854736); length = 713/6553600
12/06/17 11:59:02 INFO mapred.MapTask: Finished spill 0
12/06/17 11:59:02 INFO mapred.Task: Task:attempt_local_0001_m_000000_0 is done. And is in the process of committing
12/06/17 11:59:02 INFO mapred.LocalJobRunner: map
12/06/17 11:59:02 INFO mapred.Task: Task 'attempt_local_0001_m_000000_0' done.
12/06/17 11:59:02 INFO mapred.LocalJobRunner: Finishing task: attempt_local_0001_m_000000_0
12/06/17 11:59:02 INFO mapred.LocalJobRunner: Map task executor complete.
12/06/17 11:59:03 INFO mapred.Task: Using ResourceCalculatorPlugin : org.apache.hadoop.yarn.util.LinuxResourceCalculatorPlugin@da3a1e
12/06/17 11:59:03 INFO mapred.Merger: Merging 1 sorted segments
12/06/17 11:59:03 INFO mapred.Merger: Down to the last merge-pass, with 1 segments left of total size: 1823 bytes
12/06/17 11:59:03 INFO mapred.LocalJobRunner:
12/06/17 11:59:03 WARN conf.Configuration: mapred.skip.on is deprecated. Instead, use mapreduce.job.skiprecords
12/06/17 11:59:03 INFO mapred.Task: Task:attempt_local_0001_r_000000_0 is done. And is in the process of committing
12/06/17 11:59:03 INFO mapred.LocalJobRunner:
12/06/17 11:59:03 INFO mapred.Task: Task attempt_local_0001_r_000000_0 is allowed to commit now
12/06/17 11:59:03 INFO output.FileOutputCommitter: Saved output of task 'attempt_local_0001_r_000000_0' to file:/cc/hadoop/standalone/hadoop-2.0.0-alpha/out/wc/_temporary/0/task_local_0001_r_000000
12/06/17 11:59:03 INFO mapred.LocalJobRunner: reduce > reduce
12/06/17 11:59:03 INFO mapred.Task: Task 'attempt_local_0001_r_000000_0' done.
12/06/17 11:59:03 INFO mapreduce.Job: Job job_local_0001 running in uber mode : false
12/06/17 11:59:03 INFO mapreduce.Job: map 100% reduce 100%
12/06/17 11:59:03 INFO mapreduce.Job: Job job_local_0001 completed successfully
12/06/17 11:59:03 INFO mapreduce.Job: Counters: 27
File System Counters
FILE: Number of bytes read=544748
FILE: Number of bytes written=798104
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=31
Map output records=179
Map output bytes=2055
Map output materialized bytes=1836
Input split bytes=121
Combine input records=179
Combine output records=131
Reduce input groups=131
Reduce shuffle bytes=0
Reduce input records=131
Reduce output records=131
Spilled Records=262
Shuffled Maps =0
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=111
CPU time spent (ms)=0
Physical memory (bytes) snapshot=0
Virtual memory (bytes) snapshot=0
Total committed heap usage (bytes)=242360320
File Input Format Counters
Bytes Read=1366
File Output Format Counters
Bytes Written=1326
ref: