root@ruo91:~# docker run -d --name="hadoop" -h "hadoop" \
-p 8042:8042 -p 8088:8088 -p 50070:50070 -p 50075:50075 -p 50090:50090 ruo91/hadoop:2.7.x
or
root@ruo91:~# git clone https://github.com/ruo91/docker-hadoop.git /opt/docker-hadoop
root@ruo91:~# cd /opt/docker-hadoop
root@ruo91:~# git checkout -b 2.7.x origin/2.7.x
root@ruo91:~# docker build --rm -t hadoop:2.7.x /opt/docker-hadoop
root@ruo91:~# docker run -d --name="hadoop" -h "hadoop" \
-p 8042:8042 -p 8088:8088 -p 50070:50070 -p 50075:50075 -p 50090:50090 hadoop:2.7.x
root password : hadoop
root@ruo91:~# ssh `docker inspect -f '{{ .NetworkSettings.IPAddress }}' hadoop`
root@hadoop:~# start-all.sh
root@hadoop:~# jps
624 NodeManager
209 DataNode
659 Jps
132 NameNode
540 ResourceManager
334 SecondaryNameNode
root@hadoop:~# for((i=0; i<10; i++)) do echo ${i}; done > test.log
root@hadoop:~# hdfs dfs -copyFromLocal test.log /
root@hadoop:~# hdfs dfs -ls /
Found 1 items
-rw-r--r-- 3 root supergroup 20 2014-05-03 04:50 /test.log
or
root@hadoop:~# hadoop jar \
$HADOOP_PREFIX/share/hadoop/mapreduce/hadoop-mapreduce-examples*.jar pi 3 3
Number of Maps = 3
Samples per Map = 3
Wrote input for Map #0
Wrote input for Map #1
Wrote input for Map #2
Starting Job
14/08/29 09:43:26 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
14/08/29 09:43:26 INFO input.FileInputFormat: Total input paths to process : 3
14/08/29 09:43:26 INFO mapreduce.JobSubmitter: number of splits:3
14/08/29 09:43:27 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1409304988887_0003
14/08/29 09:43:27 INFO impl.YarnClientImpl: Submitted application application_1409304988887_0003
14/08/29 09:43:27 INFO mapreduce.Job: The url to track the job: http://hadoop:8088/proxy/application_1409304988887_0003/
14/08/29 09:43:27 INFO mapreduce.Job: Running job: job_1409304988887_0003
14/08/29 09:43:33 INFO mapreduce.Job: Job job_1409304988887_0003 running in uber mode : false
14/08/29 09:43:33 INFO mapreduce.Job: map 0% reduce 0%
14/08/29 09:43:41 INFO mapreduce.Job: map 67% reduce 0%
14/08/29 09:43:42 INFO mapreduce.Job: map 100% reduce 0%
14/08/29 09:43:47 INFO mapreduce.Job: map 100% reduce 100%
14/08/29 09:43:47 INFO mapreduce.Job: Job job_1409304988887_0003 completed successfully
14/08/29 09:43:47 INFO mapreduce.Job: Counters: 49
File System Counters
FILE: Number of bytes read=72
FILE: Number of bytes written=389309
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=792
HDFS: Number of bytes written=215
HDFS: Number of read operations=15
HDFS: Number of large read operations=0
HDFS: Number of write operations=3
Job Counters
Launched map tasks=3
Launched reduce tasks=1
Data-local map tasks=3
Total time spent by all maps in occupied slots (ms)=17686
Total time spent by all reduces in occupied slots (ms)=3917
Total time spent by all map tasks (ms)=17686
Total time spent by all reduce tasks (ms)=3917
Total vcore-seconds taken by all map tasks=17686
Total vcore-seconds taken by all reduce tasks=3917
Total megabyte-seconds taken by all map tasks=18110464
Total megabyte-seconds taken by all reduce tasks=4011008
Map-Reduce Framework
Map input records=3
Map output records=6
Map output bytes=54
Map output materialized bytes=84
Input split bytes=438
Combine input records=0
Combine output records=0
Reduce input groups=2
Reduce shuffle bytes=84
Reduce input records=6
Reduce output records=0
Spilled Records=12
Shuffled Maps =3
Failed Shuffles=0
Merged Map outputs=3
GC time elapsed (ms)=426
CPU time spent (ms)=1450
Physical memory (bytes) snapshot=807591936
Virtual memory (bytes) snapshot=7788961792
Total committed heap usage (bytes)=607125504
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=354
File Output Format Counters
Bytes Written=97
Job Finished in 21.529 seconds
Estimated value of Pi is 3.55555555555555555556
Namenode Information
Datanode Information
Secondarynode Information
Startup progress Information
Utilities - Browse the file system
Nodemanager Information
Resource manager Information
Thanks. :-)