Getting started with hadoop --- quick start
2010-04-27 17:26
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Prepare to Start the Hadoop Cluster
Unpack the downloaded Hadoop distribution. In the distribution,edit the
file conf/hadoop-env.sh
to define
at least
JAVA_HOME
to be the root of your
Java installation.
Try the following command:
$ bin/hadoop
This will display the usage documentation for the hadoop
script.
Now you are ready to start your Hadoop cluster in one of the three
supported
modes:
Local (Standalone) Mode
Pseudo-Distributed Mode
Fully-Distributed Mode
Standalone Operation
By default, Hadoop is configured to run in a non-distributedmode, as a single Java process. This is useful for debugging.
The following example copies the unpacked conf
directory to
use as input and then finds and displays every match of the
given regular
expression. Output is written to the given output
directory.
$ mkdir input
$ cp conf/*.xml input
$ bin/hadoop jar hadoop-*-examples.jar grep input output
'dfs[a-z.]+'
$ cat output/*
以下是我的运行结果：
# bin/hadoop jar hadoop-*-examples.jar grep input output 'dfs[a-z.]+'
10/04/27 17:01:10 INFO jvm.JvmMetrics: Initializing JVM Metrics with processName=JobTracker, sessionId=
10/04/27 17:01:11 INFO mapred.FileInputFormat: Total input paths to process : 5
10/04/27 17:01:11 INFO mapred.JobClient: Running job: job_local_0001
10/04/27 17:01:11 INFO mapred.FileInputFormat: Total input paths to process : 5
10/04/27 17:01:11 INFO mapred.MapTask: numReduceTasks: 1
10/04/27 17:01:11 INFO mapred.MapTask: io.sort.mb = 100
10/04/27 17:01:12 INFO mapred.MapTask: data buffer = 79691776/99614720
10/04/27 17:01:12 INFO mapred.MapTask: record buffer = 262144/327680
10/04/27 17:01:12 INFO mapred.MapTask: Starting flush of map output
10/04/27 17:01:12 INFO mapred.TaskRunner: Task:attempt_local_0001_m_000000_0 is done. And is in the process of commiting
10/04/27 17:01:12 INFO mapred.LocalJobRunner: file:/root/下载/hadoop-0.20.2/input/hdfs-site.xml:0+178
10/04/27 17:01:12 INFO mapred.TaskRunner: Task 'attempt_local_0001_m_000000_0' done.
10/04/27 17:01:12 INFO mapred.MapTask: numReduceTasks: 1
10/04/27 17:01:12 INFO mapred.MapTask: io.sort.mb = 100
10/04/27 17:01:12 INFO mapred.MapTask: data buffer = 79691776/99614720
10/04/27 17:01:12 INFO mapred.MapTask: record buffer = 262144/327680
10/04/27 17:01:12 INFO mapred.JobClient: map 100% reduce 0%
10/04/27 17:01:12 INFO mapred.MapTask: Starting flush of map output
10/04/27 17:01:12 INFO mapred.MapTask: Finished spill 0
10/04/27 17:01:12 INFO mapred.TaskRunner: Task:attempt_local_0001_m_000001_0 is done. And is in the process of commiting
10/04/27 17:01:12 INFO mapred.LocalJobRunner: file:/root/下载/hadoop-0.20.2/input/hadoop-policy.xml:0+4190
10/04/27 17:01:12 INFO mapred.TaskRunner: Task 'attempt_local_0001_m_000001_0' done.
10/04/27 17:01:12 INFO mapred.MapTask: numReduceTasks: 1
10/04/27 17:01:12 INFO mapred.MapTask: io.sort.mb = 100
10/04/27 17:01:13 INFO mapred.MapTask: data buffer = 79691776/99614720
10/04/27 17:01:13 INFO mapred.MapTask: record buffer = 262144/327680
10/04/27 17:01:13 INFO mapred.MapTask: Starting flush of map output
10/04/27 17:01:13 INFO mapred.TaskRunner: Task:attempt_local_0001_m_000002_0 is done. And is in the process of commiting
10/04/27 17:01:13 INFO mapred.LocalJobRunner: file:/root/下载/hadoop-0.20.2/input/capacity-scheduler.xml:0+3936
10/04/27 17:01:13 INFO mapred.TaskRunner: Task 'attempt_local_0001_m_000002_0' done.
10/04/27 17:01:13 INFO mapred.MapTask: numReduceTasks: 1
10/04/27 17:01:13 INFO mapred.MapTask: io.sort.mb = 100
10/04/27 17:01:13 INFO mapred.MapTask: data buffer = 79691776/99614720
10/04/27 17:01:13 INFO mapred.MapTask: record buffer = 262144/327680
10/04/27 17:01:13 INFO mapred.MapTask: Starting flush of map output
10/04/27 17:01:13 INFO mapred.TaskRunner: Task:attempt_local_0001_m_000003_0 is done. And is in the process of commiting
10/04/27 17:01:13 INFO mapred.LocalJobRunner: file:/root/下载/hadoop-0.20.2/input/mapred-site.xml:0+178
10/04/27 17:01:13 INFO mapred.TaskRunner: Task 'attempt_local_0001_m_000003_0' done.
10/04/27 17:01:13 INFO mapred.MapTask: numReduceTasks: 1
10/04/27 17:01:13 INFO mapred.MapTask: io.sort.mb = 100
10/04/27 17:01:13 INFO mapred.MapTask: data buffer = 79691776/99614720
10/04/27 17:01:13 INFO mapred.MapTask: record buffer = 262144/327680
10/04/27 17:01:13 INFO mapred.MapTask: Starting flush of map output
10/04/27 17:01:13 INFO mapred.TaskRunner: Task:attempt_local_0001_m_000004_0 is done. And is in the process of commiting
10/04/27 17:01:13 INFO mapred.LocalJobRunner: file:/root/下载/hadoop-0.20.2/input/core-site.xml:0+178
10/04/27 17:01:13 INFO mapred.TaskRunner: Task 'attempt_local_0001_m_000004_0' done.
10/04/27 17:01:13 INFO mapred.LocalJobRunner:
10/04/27 17:01:13 INFO mapred.Merger: Merging 5 sorted segments
10/04/27 17:01:13 INFO mapred.Merger: Down to the last merge-pass, with 1 segments left of total size: 21 bytes
10/04/27 17:01:13 INFO mapred.LocalJobRunner:
10/04/27 17:01:13 INFO mapred.TaskRunner: Task:attempt_local_0001_r_000000_0 is done. And is in the process of commiting
10/04/27 17:01:13 INFO mapred.LocalJobRunner:
10/04/27 17:01:13 INFO mapred.TaskRunner: Task attempt_local_0001_r_000000_0 is allowed to commit now
10/04/27 17:01:13 INFO mapred.FileOutputCommitter: Saved output of task 'attempt_local_0001_r_000000_0' to file:/root/下载/hadoop-0.20.2/grep-temp-151036151
10/04/27 17:01:13 INFO mapred.LocalJobRunner: reduce > reduce
10/04/27 17:01:13 INFO mapred.TaskRunner: Task 'attempt_local_0001_r_000000_0' done.
10/04/27 17:01:13 INFO mapred.JobClient: map 100% reduce 100%
10/04/27 17:01:13 INFO mapred.JobClient: Job complete: job_local_0001
10/04/27 17:01:13 INFO mapred.JobClient: Counters: 13
10/04/27 17:01:13 INFO mapred.JobClient: FileSystemCounters
10/04/27 17:01:13 INFO mapred.JobClient: FILE_BYTES_READ=973951
10/04/27 17:01:13 INFO mapred.JobClient: FILE_BYTES_WRITTEN=1029914
10/04/27 17:01:13 INFO mapred.JobClient: Map-Reduce Framework
10/04/27 17:01:13 INFO mapred.JobClient: Reduce input groups=1
10/04/27 17:01:13 INFO mapred.JobClient: Combine output records=1
10/04/27 17:01:13 INFO mapred.JobClient: Map input records=219
10/04/27 17:01:13 INFO mapred.JobClient: Reduce shuffle bytes=0
10/04/27 17:01:14 INFO mapred.JobClient: Reduce output records=1
10/04/27 17:01:14 INFO mapred.JobClient: Spilled Records=2
10/04/27 17:01:14 INFO mapred.JobClient: Map output bytes=17
10/04/27 17:01:14 INFO mapred.JobClient: Map input bytes=8660
10/04/27 17:01:14 INFO mapred.JobClient: Combine input records=1
10/04/27 17:01:14 INFO mapred.JobClient: Map output records=1
10/04/27 17:01:14 INFO mapred.JobClient: Reduce input records=1
10/04/27 17:01:14 INFO jvm.JvmMetrics: Cannot initialize JVM Metrics with processName=JobTracker, sessionId= - already initialized
10/04/27 17:01:14 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same.
10/04/27 17:01:14 INFO mapred.FileInputFormat: Total input paths to process : 1
10/04/27 17:01:15 INFO mapred.JobClient: Running job: job_local_0002
10/04/27 17:01:15 INFO mapred.FileInputFormat: Total input paths to process : 1
10/04/27 17:01:15 INFO mapred.MapTask: numReduceTasks: 1
10/04/27 17:01:15 INFO mapred.MapTask: io.sort.mb = 100
10/04/27 17:01:15 INFO mapred.MapTask: data buffer = 79691776/99614720
10/04/27 17:01:15 INFO mapred.MapTask: record buffer = 262144/327680
10/04/27 17:01:15 INFO mapred.MapTask: Starting flush of map output
10/04/27 17:01:15 INFO mapred.MapTask: Finished spill 0
10/04/27 17:01:15 INFO mapred.TaskRunner: Task:attempt_local_0002_m_000000_0 is done. And is in the process of commiting
10/04/27 17:01:15 INFO mapred.LocalJobRunner: file:/root/下载/hadoop-0.20.2/grep-temp-151036151/part-00000:0+111
10/04/27 17:01:15 INFO mapred.TaskRunner: Task 'attempt_local_0002_m_000000_0' done.
10/04/27 17:01:15 INFO mapred.LocalJobRunner:
10/04/27 17:01:15 INFO mapred.Merger: Merging 1 sorted segments
10/04/27 17:01:15 INFO mapred.Merger: Down to the last merge-pass, with 1 segments left of total size: 21 bytes
10/04/27 17:01:15 INFO mapred.LocalJobRunner:
10/04/27 17:01:15 INFO mapred.TaskRunner: Task:attempt_local_0002_r_000000_0 is done. And is in the process of commiting
10/04/27 17:01:15 INFO mapred.LocalJobRunner:
10/04/27 17:01:15 INFO mapred.TaskRunner: Task attempt_local_0002_r_000000_0 is allowed to commit now
10/04/27 17:01:15 INFO mapred.FileOutputCommitter: Saved output of task 'attempt_local_0002_r_000000_0' to file:/root/下载/hadoop-0.20.2/output
10/04/27 17:01:15 INFO mapred.LocalJobRunner: reduce > reduce
10/04/27 17:01:15 INFO mapred.TaskRunner: Task 'attempt_local_0002_r_000000_0' done.
10/04/27 17:01:16 INFO mapred.JobClient: map 100% reduce 100%
10/04/27 17:01:16 INFO mapred.JobClient: Job complete: job_local_0002
10/04/27 17:01:16 INFO mapred.JobClient: Counters: 13
10/04/27 17:01:16 INFO mapred.JobClient: FileSystemCounters
10/04/27 17:01:16 INFO mapred.JobClient: FILE_BYTES_READ=640267
10/04/27 17:01:16 INFO mapred.JobClient: FILE_BYTES_WRITTEN=683733
10/04/27 17:01:16 INFO mapred.JobClient: Map-Reduce Framework
10/04/27 17:01:16 INFO mapred.JobClient: Reduce input groups=1
10/04/27 17:01:16 INFO mapred.JobClient: Combine output records=0
10/04/27 17:01:16 INFO mapred.JobClient: Map input records=1
10/04/27 17:01:16 INFO mapred.JobClient: Reduce shuffle bytes=0
10/04/27 17:01:16 INFO mapred.JobClient: Reduce output records=1
10/04/27 17:01:16 INFO mapred.JobClient: Spilled Records=2
10/04/27 17:01:16 INFO mapred.JobClient: Map output bytes=17
10/04/27 17:01:16 INFO mapred.JobClient: Map input bytes=25
10/04/27 17:01:16 INFO mapred.JobClient: Combine input records=0
10/04/27 17:01:16 INFO mapred.JobClient: Map output records=1
10/04/27 17:01:16 INFO mapred.JobClient: Reduce input records=1
# cat output/*
1 dfsadmin
Pseudo-Distributed Operation
Hadoop can also be run on a single-node in a pseudo-distributed modewhere each Hadoop daemon runs in a separate Java process.
Configuration
Use the following:conf/core-site.xml
:
| <configuration> |
| <property> |
| <name>fs.default.name</name> |
| <value>hdfs://localhost:9000</value> |
| </property> |
| </configuration> |
:
| <configuration> |
| <property> |
| <name>dfs.replication</name> |
| <value>1</value> |
| </property> |
| </configuration> |
:
| <configuration> |
| <property> |
| <name>mapred.job.tracker</name> |
| <value>localhost:9001</value> |
| </property> |
| </configuration> |
Setup passphraseless ssh
Now check that you can ssh to the localhost without a passphrase:$ ssh localhost
If you cannot ssh to localhost without a passphrase, execute the
following commands:
$ ssh-keygen -t dsa -P '' -f ~/.ssh/id_dsa
$ cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys
Execution
Format a new distributed-filesystem:$ bin/hadoop namenode -format
Start the hadoop daemons:
$ bin/start-all.sh
The hadoop daemon log output is written to the
${HADOOP_LOG_DIR}
directory (defaults to
${HADOOP_HOME}/logs
).
Browse the web interface for the NameNode and the JobTracker; by
default they are available at:
NameNode
-
http://localhost:50070/
JobTracker
-
http://localhost:50030/
Copy the input files into the distributed filesystem:
$ bin/hadoop fs -put conf input
Run some of the examples provided:
$ bin/hadoop jar hadoop-*-examples.jar grep input output 'dfs[a-z.]+'
Examine the output files:
Copy the output files from the distributed filesystem to the local
filesytem and examine them:
$ bin/hadoop fs -get output output
$ cat output/*
or
View the output files on the distributed filesystem:
$ bin/hadoop fs -cat output/*
When you're done, stop the daemons with:
$ bin/stop-all.sh
以下是我的运行结果：
# bin/hadoop namenode -format
10/04/27 18:33:26 INFO namenode.NameNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG: host = jtangfs-ubuntu/127.0.1.1
STARTUP_MSG: args = [-format]
STARTUP_MSG: version = 0.20.2
STARTUP_MSG: build = https://svn.apache.org/repos/asf/hadoop/common/branches/branch-0.20 -r 911707; compiled by 'chrisdo' on Fri Feb 19 08:07:34 UTC 2010
************************************************************/
10/04/27 18:33:27 INFO namenode.FSNamesystem: fsOwner=root,root
10/04/27 18:33:27 INFO namenode.FSNamesystem: supergroup=supergroup
10/04/27 18:33:27 INFO namenode.FSNamesystem: isPermissionEnabled=true
10/04/27 18:33:27 INFO common.Storage: Image file of size 94 saved in 0 seconds.
10/04/27 18:33:27 INFO common.Storage: Storage directory /tmp/hadoop-root/dfs/name has been successfully formatted.
10/04/27 18:33:27 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at jtangfs-ubuntu/127.0.1.1
************************************************************/
# bin/hadoop fs -put conf input
# bin/hadoop jar hadoop-*-examples.jar grep input output 'dfs[a-z.]+'
10/04/27 19:07:00 INFO mapred.FileInputFormat: Total input paths to process : 17
10/04/27 19:07:01 INFO mapred.JobClient: Running job: job_201004271837_0001
10/04/27 19:07:02 INFO mapred.JobClient: map 0% reduce 0%
10/04/27 19:07:12 INFO mapred.JobClient: map 5% reduce 0%
10/04/27 19:07:16 INFO mapred.JobClient: map 11% reduce 0%
10/04/27 19:07:19 INFO mapred.JobClient: map 23% reduce 0%
10/04/27 19:07:25 INFO mapred.JobClient: map 35% reduce 3%
10/04/27 19:07:28 INFO mapred.JobClient: map 41% reduce 7%
10/04/27 19:07:31 INFO mapred.JobClient: map 52% reduce 11%
10/04/27 19:07:34 INFO mapred.JobClient: map 58% reduce 11%
10/04/27 19:07:37 INFO mapred.JobClient: map 70% reduce 11%
10/04/27 19:07:40 INFO mapred.JobClient: map 70% reduce 13%
10/04/27 19:07:43 INFO mapred.JobClient: map 82% reduce 13%
10/04/27 19:07:46 INFO mapred.JobClient: map 82% reduce 23%
10/04/27 19:07:49 INFO mapred.JobClient: map 94% reduce 23%
10/04/27 19:07:52 INFO mapred.JobClient: map 100% reduce 27%
10/04/27 19:07:58 INFO mapred.JobClient: map 100% reduce 31%
10/04/27 19:08:05 INFO mapred.JobClient: map 100% reduce 100%
10/04/27 19:08:06 INFO mapred.JobClient: Job complete: job_201004271837_0001
10/04/27 19:08:06 INFO mapred.JobClient: Counters: 18
10/04/27 19:08:06 INFO mapred.JobClient: Job Counters
10/04/27 19:08:06 INFO mapred.JobClient: Launched reduce tasks=1
10/04/27 19:08:06 INFO mapred.JobClient: Launched map tasks=17
10/04/27 19:08:06 INFO mapred.JobClient: Data-local map tasks=17
10/04/27 19:08:06 INFO mapred.JobClient: FileSystemCounters
10/04/27 19:08:06 INFO mapred.JobClient: FILE_BYTES_READ=158
10/04/27 19:08:06 INFO mapred.JobClient: HDFS_BYTES_READ=21046
10/04/27 19:08:06 INFO mapred.JobClient: FILE_BYTES_WRITTEN=956
10/04/27 19:08:06 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=280
10/04/27 19:08:06 INFO mapred.JobClient: Map-Reduce Framework
10/04/27 19:08:06 INFO mapred.JobClient: Reduce input groups=7
10/04/27 19:08:06 INFO mapred.JobClient: Combine output records=7
10/04/27 19:08:06 INFO mapred.JobClient: Map input records=632
10/04/27 19:08:06 INFO mapred.JobClient: Reduce shuffle bytes=254
10/04/27 19:08:06 INFO mapred.JobClient: Reduce output records=7
10/04/27 19:08:06 INFO mapred.JobClient: Spilled Records=14
10/04/27 19:08:06 INFO mapred.JobClient: Map output bytes=193
10/04/27 19:08:06 INFO mapred.JobClient: Map input bytes=21046
10/04/27 19:08:06 INFO mapred.JobClient: Combine input records=10
10/04/27 19:08:06 INFO mapred.JobClient: Map output records=10
10/04/27 19:08:06 INFO mapred.JobClient: Reduce input records=7
10/04/27 19:08:06 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same.
10/04/27 19:08:07 INFO mapred.FileInputFormat: Total input paths to process : 1
10/04/27 19:08:08 INFO mapred.JobClient: Running job: job_201004271837_0002
10/04/27 19:08:09 INFO mapred.JobClient: map 0% reduce 0%
10/04/27 19:08:20 INFO mapred.JobClient: map 100% reduce 0%
10/04/27 19:08:32 INFO mapred.JobClient: map 100% reduce 100%
10/04/27 19:08:34 INFO mapred.JobClient: Job complete: job_201004271837_0002
10/04/27 19:08:34 INFO mapred.JobClient: Counters: 18
10/04/27 19:08:34 INFO mapred.JobClient: Job Counters
10/04/27 19:08:34 INFO mapred.JobClient: Launched reduce tasks=1
10/04/27 19:08:34 INFO mapred.JobClient: Launched map tasks=1
10/04/27 19:08:34 INFO mapred.JobClient: Data-local map tasks=1
10/04/27 19:08:34 INFO mapred.JobClient: FileSystemCounters
10/04/27 19:08:34 INFO mapred.JobClient: FILE_BYTES_READ=158
10/04/27 19:08:34 INFO mapred.JobClient: HDFS_BYTES_READ=280
10/04/27 19:08:34 INFO mapred.JobClient: FILE_BYTES_WRITTEN=348
10/04/27 19:08:34 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=96
10/04/27 19:08:34 INFO mapred.JobClient: Map-Reduce Framework
10/04/27 19:08:34 INFO mapred.JobClient: Reduce input groups=3
10/04/27 19:08:34 INFO mapred.JobClient: Combine output records=0
10/04/27 19:08:34 INFO mapred.JobClient: Map input records=7
10/04/27 19:08:34 INFO mapred.JobClient: Reduce shuffle bytes=158
10/04/27 19:08:34 INFO mapred.JobClient: Reduce output records=7
10/04/27 19:08:34 INFO mapred.JobClient: Spilled Records=14
10/04/27 19:08:34 INFO mapred.JobClient: Map output bytes=138
10/04/27 19:08:34 INFO mapred.JobClient: Map input bytes=194
10/04/27 19:08:34 INFO mapred.JobClient: Combine input records=0
10/04/27 19:08:34 INFO mapred.JobClient: Map output records=7
10/04/27 19:08:34 INFO mapred.JobClient: Reduce input records=7
# bin/hadoop fs -cat output/*
3 dfs.class
2 dfs.period
1 dfs.file
1 dfs.replication
1 dfs.servers
1 dfsadmin
1 dfsmetrics.log
# bin/stop-all.sh
stopping jobtracker
localhost: stopping tasktracker
stopping namenode
localhost: stopping datanode
localhost: stopping secondarynamenode
Fully-Distributed Operation
For information on setting up fully-distributed, non-trivial clusterssee Hadoop Cluster Setup
.
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