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Editor to share with you how to configure Hadoop2.7 deployment and testing, I believe that most people do not know much about it, so share this article for your reference, I hope you can learn a lot after reading this article, let's go to know it!

1. Environmental preparation:

Install the operating system of Centos6.5

Download hadoop2.7 version of the software

Wget http://124.205.69.132/files/224400000162626A/mirrors.hust.edu.cn/apache/hadoop/common/stable/hadoop-2.7.1.tar.gz

Download jdk1.87 version of the software

Wget http://download.oracle.com/otn-pub/java/jdk/8u60-b27/jdk-8u60-linux-x64.tar.gz?AuthParam=1443446776_174368b9ab1a6a92468aba5cd4d092d0

two。 Modify / etc/hosts file and configure mutual trust:

Add the following to the / etc/hosts file:

192.168.1.61 host61

192.168.1.62 host62

192.168.1.63 host63

Configure ssh mutual trust between servers

3. Add users, extract files, and configure environment variables:

Useradd hadoop

Passwd hadoop

Tar-zxvf hadoop-2.7.1.tar.gz

Mv hadoop-2.7.1 / usr/local

Ln-s hadoop-2.7.1 hadoop

Chown-R hadoop:hadoop hadoop-2.7.1

Tar-zxvf jdk-8u60-linux-x64.tar.gz

Mv jdk1.8.0_60 / usr/local

Ln-s jdk1.8.0_60 jdk

Chown-R root:root jdk1.8.0_60

Echo 'export JAVA_HOME=/usr/local/jdk' > > / etc/profile

Echo 'export PATH=/usr/local/jdk/bin:$PATH' > / etc/profile.d/java.sh

4. Modify the hadoop configuration file:

1) modify the hadoop-env.sh file:

Cd / usr/local/hadoop/etc/hadoop/hadoop-env.sh

Sed-I 's%#export JAVA_HOME=$ {JAVA_HOME}% export JAVA_HOME=/usr/local/jdk%g' hadoop-env.sh

2) modify core-site.xml and add the following at the end:

Fs.default.name

Hdfs://host61:9000/

Hadoop.tmp.dir

/ home/hadoop/temp

3) modify the hdfs-site.xml file:

Dfs.replication

three

4) modify mapred-site.xml

Mapred.job.tracker

Host61:9001

5) configure masters

Host61

6) configure slaves

Host62

Host63

5. Configure host62 and host63 in the same way

6. Format distributed file system

/ usr/local/hadoop/bin/hadoop namenode format

7. Replace the library file for hadoop:

Mv / usr/local/hadoop/lib/native / usr/local/hadoop/lib/native_old

Copy the lib/native folder under the compiled hadoop file

8. Run hadoop

1) / usr/local/hadoop/sbin/start-dfs.sh

2) / usr/local/hadoop/sbin/start-yarn.sh

9. Check:

[root@host61 sbin] # jps

4532 ResourceManager

4197 NameNode

4793 Jps

4364 SecondaryNameNode

[root@host62 ~] # jps

32052 DataNode

32133 NodeManager

32265 Jps

[root@host63 local] # jps

6802 NodeManager

6963 Jps

6717 DataNode

10. Learn about hadoop through web:

Information about namenode:

Http://192.168.1.61:50070/

Information about secondnamenode:

Http://192.168.1.61:50090/

Information about datanode:

Http://192.168.1.62:50075/

11. test

Echo "this is the first file" > / tmp/mytest1.txt

Echo "this is the second file" > / tmp/mytest2.txt

Cd / usr/local/hadoop/bin

[hadoop@host61 bin] $. / hadoop fs-mkdir / in

[hadoop@host61 bin] $. / hadoop fs-put / tmp/mytest*.txt / in

[hadoop@host61 bin] $. / hadoop fs-ls / in

Found 2 items

-rw-r--r-- 3 hadoop supergroup 23 2015-10-02 18:45 / in/mytest1.txt

-rw-r--r-- 3 hadoop supergroup 24 2015-10-02 18:45 / in/mytest2.txt

[hadoop@host61 hadoop] $. / bin/hadoop jar. / share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.1.jar wordcount / in/ out

15-10-02 18:53:30 INFO Configuration.deprecation: session.id is deprecated. Instead, use dfs.metrics.session-id

15-10-02 18:53:30 INFO jvm.JvmMetrics: Initializing JVM Metrics with processName=JobTracker, sessionId=

15-10-02 18:53:34 INFO input.FileInputFormat: Total input paths to process: 2

15-10-02 18:53:35 INFO mapreduce.JobSubmitter: number of splits:2

15-10-02 18:53:38 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_local1954603964_0001

18:53:40 on 15-10-02 INFO mapreduce.Job: The url to track the job: http://localhost:8080/

15-10-02 18:53:40 INFO mapreduce.Job: Running job: job_local1954603964_0001

15-10-02 18:53:40 INFO mapred.LocalJobRunner: OutputCommitter set in config null

15-10-02 18:53:40 INFO output.FileOutputCommitter: FileOutputCommitter Algorithm version is 1

15-10-02 18:53:40 INFO mapred.LocalJobRunner: OutputCommitter is org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter

15-10-02 18:53:41 INFO mapred.LocalJobRunner: Waiting for map tasks

15-10-02 18:53:41 INFO mapred.LocalJobRunner: Starting task: attempt_local1954603964_0001_m_000000_0

15-10-02 18:53:41 INFO mapreduce.Job: Job job_local1954603964_0001 running in uber mode: false

15-10-02 18:53:41 INFO mapreduce.Job: map 0 reduce 0

15-10-02 18:53:41 INFO output.FileOutputCommitter: FileOutputCommitter Algorithm version is 1

15-10-02 18:53:41 INFO mapred.Task: Using ResourceCalculatorProcessTree: []

15-10-02 18:53:41 INFO mapred.MapTask: Processing split: hdfs://host61:9000/in/mytest2.txt:0+24

18:53:51 on 15-10-02 INFO mapred.MapTask: (EQUATOR) 0 kvi 26214396 (104857584)

15-10-02 18:53:51 INFO mapred.MapTask: mapreduce.task.io.sort.mb: 100

15-10-02 18:53:51 INFO mapred.MapTask: soft limit at 83886080

18:53:51 on 15-10-02 INFO mapred.MapTask: bufstart = 0; bufvoid = 104857600

18:53:51 on 15-10-02 INFO mapred.MapTask: kvstart = 26214396; length = 6553600

18:53:51 on 15-10-02 INFO mapred.MapTask: Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer

15-10-02 18:53:52 INFO mapred.LocalJobRunner:

15-10-02 18:53:52 INFO mapred.MapTask: Starting flush of map output

15-10-02 18:53:52 INFO mapred.MapTask: Spilling map output

18:53:52 on 15-10-02 INFO mapred.MapTask: bufstart = 0; bufend = 44; bufvoid = 104857600

18:53:52 on 15-10-02 INFO mapred.MapTask: kvstart = 26214396 (104857584); kvend = 26214380 (104857520); length = 17 Universe 6553600

15-10-02 18:53:52 INFO mapred.MapTask: Finished spill 0

15-10-02 18:53:52 INFO mapred.Task: Task:attempt_local1954603964_0001_m_000000_0 is done. And is in the process of committing

15-10-02 18:53:53 INFO mapred.LocalJobRunner: map

18:53:53 on 15-10-02 INFO mapred.Task: Task 'attempt_local1954603964_0001_m_000000_0' done.

15-10-02 18:53:53 INFO mapred.LocalJobRunner: Finishing task: attempt_local1954603964_0001_m_000000_0

15-10-02 18:53:53 INFO mapred.LocalJobRunner: Starting task: attempt_local1954603964_0001_m_000001_0

15-10-02 18:53:53 INFO output.FileOutputCommitter: FileOutputCommitter Algorithm version is 1

15-10-02 18:53:53 INFO mapred.Task: Using ResourceCalculatorProcessTree: []

15-10-02 18:53:53 INFO mapred.MapTask: Processing split: hdfs://host61:9000/in/mytest1.txt:0+23

15-10-02 18:53:53 INFO mapreduce.Job: map 100% reduce 0

18:53:53 on 15-10-02 INFO mapred.MapTask: (EQUATOR) 0 kvi 26214396 (104857584)

15-10-02 18:53:53 INFO mapred.MapTask: mapreduce.task.io.sort.mb: 100

15-10-02 18:53:53 INFO mapred.MapTask: soft limit at 83886080

18:53:53 on 15-10-02 INFO mapred.MapTask: bufstart = 0; bufvoid = 104857600

18:53:53 on 15-10-02 INFO mapred.MapTask: kvstart = 26214396; length = 6553600

18:53:53 on 15-10-02 INFO mapred.MapTask: Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer

15-10-02 18:53:54 INFO mapred.LocalJobRunner:

15-10-02 18:53:54 INFO mapred.MapTask: Starting flush of map output

15-10-02 18:53:54 INFO mapred.MapTask: Spilling map output

18:53:54 on 15-10-02 INFO mapred.MapTask: bufstart = 0; bufend = 43; bufvoid = 104857600

18:53:54 on 15-10-02 INFO mapred.MapTask: kvstart = 26214396 (104857584); kvend = 26214380 (104857520); length = 17 Universe 6553600

15-10-02 18:53:54 INFO mapred.MapTask: Finished spill 0

15-10-02 18:53:54 INFO mapred.Task: Task:attempt_local1954603964_0001_m_000001_0 is done. And is in the process of committing

15-10-02 18:53:54 INFO mapreduce.Job: map 50% reduce 0

15-10-02 18:53:54 INFO mapred.LocalJobRunner: map

18:53:54 on 15-10-02 INFO mapred.Task: Task 'attempt_local1954603964_0001_m_000001_0' done.

15-10-02 18:53:54 INFO mapred.LocalJobRunner: Finishing task: attempt_local1954603964_0001_m_000001_0

15-10-02 18:53:54 INFO mapred.LocalJobRunner: map task executor complete.

15-10-02 18:53:54 INFO mapred.LocalJobRunner: Waiting for reduce tasks

15-10-02 18:53:54 INFO mapred.LocalJobRunner: Starting task: attempt_local1954603964_0001_r_000000_0

15-10-02 18:53:54 INFO output.FileOutputCommitter: FileOutputCommitter Algorithm version is 1

15-10-02 18:53:54 INFO mapred.Task: Using ResourceCalculatorProcessTree: []

15-10-02 18:53:54 INFO mapred.ReduceTask: Using ShuffleConsumerPlugin: org.apache.hadoop.mapreduce.task.reduce.Shuffle@5205a129

15-10-02 18:53:55 INFO reduce.MergeManagerImpl: MergerManager: memoryLimit=363285696, maxSingleShuffleLimit=90821424, mergeThreshold=239768576, ioSortFactor=10, memToMemMergeOutputsThreshold=10

15-10-02 18:53:55 INFO reduce.EventFetcher: attempt_local1954603964_0001_r_000000_0 Thread started: EventFetcher for fetching Map Completion Events

15-10-02 18:53:55 INFO mapreduce.Job: map 100% reduce 0

15-10-02 18:53:56 INFO reduce.LocalFetcher: localfetcher#1 about to shuffle output of map attempt_local1954603964_0001_m_000001_0 decomp: 55 len: 59 to MEMORY

15-10-02 18:53:56 INFO reduce.InMemoryMapOutput: Read 55 bytes from map-output for attempt_local1954603964_0001_m_000001_0

18:53:56 on 15-10-02 INFO reduce.MergeManagerImpl: closeInMemoryFile-> map-output of size: 55, inMemoryMapOutputs.size ()-> 1, commitMemory-> 0, usedMemory-> 55

15-10-02 18:53:56 INFO reduce.LocalFetcher: localfetcher#1 about to shuffle output of map attempt_local1954603964_0001_m_000000_0 decomp: 56 len: 60 to MEMORY

15-10-02 18:53:56 INFO reduce.InMemoryMapOutput: Read 56 bytes from map-output for attempt_local1954603964_0001_m_000000_0

18:53:56 on 15-10-02 INFO reduce.MergeManagerImpl: closeInMemoryFile-> map-output of size: 56, inMemoryMapOutputs.size ()-> 2, commitMemory-> 55, usedMemory-> 111l

15-10-02 18:53:56 INFO reduce.EventFetcher: EventFetcher is interrupted.. Returning

15-10-02 18:53:56 INFO mapred.LocalJobRunner: 2 / 2 copied.

15-10-02 18:53:56 INFO reduce.MergeManagerImpl: finalMerge called with 2 in-memory map-outputs and 0 on-disk map-outputs

15-10-02 18:53:57 INFO mapred.Merger: Merging 2 sorted segments

15-10-02 18:53:57 INFO mapred.Merger: Down to the last merge-pass, with 2 segments left of total size: 97 bytes

15-10-02 18:53:57 INFO reduce.MergeManagerImpl: Merged 2 segments, 111 bytes to disk to satisfy reduce memory limit

15-10-02 18:53:57 INFO reduce.MergeManagerImpl: Merging 1 files, 113 bytes from disk

15-10-02 18:53:57 INFO reduce.MergeManagerImpl: Merging 0 segments, 0 bytes from memory into reduce

15-10-02 18:53:57 INFO mapred.Merger: Merging 1 sorted segments

15-10-02 18:53:57 INFO mapred.Merger: Down to the last merge-pass, with 1 segments left of total size: 102 bytes

15-10-02 18:53:57 INFO mapred.LocalJobRunner: 2 / 2 copied.

15-10-02 18:53:57 INFO Configuration.deprecation: mapred.skip.on is deprecated. Instead, use mapreduce.job.skiprecords

15-10-02 18:53:59 INFO mapred.Task: Task:attempt_local1954603964_0001_r_000000_0 is done. And is in the process of committing

15-10-02 18:53:59 INFO mapred.LocalJobRunner: 2 / 2 copied.

15-10-02 18:53:59 INFO mapred.Task: Task attempt_local1954603964_0001_r_000000_0 is allowed to commit now

18:53:59 on 15-10-02 INFO output.FileOutputCommitter: Saved output of task 'attempt_local1954603964_0001_r_000000_0' to hdfs://host61:9000/out/_temporary/0/task_local1954603964_0001_r_000000

18:53:59 on 15-10-02 INFO mapred.LocalJobRunner: reduce > reduce

18:53:59 on 15-10-02 INFO mapred.Task: Task 'attempt_local1954603964_0001_r_000000_0' done.

15-10-02 18:53:59 INFO mapred.LocalJobRunner: Finishing task: attempt_local1954603964_0001_r_000000_0

15-10-02 18:53:59 INFO mapred.LocalJobRunner: reduce task executor complete.

15-10-02 18:53:59 INFO mapreduce.Job: map 100 reduce 100%

15-10-02 18:53:59 INFO mapreduce.Job: Job job_local1954603964_0001 completed successfully

15-10-02 18:54:00 INFO mapreduce.Job: Counters: 35

File System Counters

FILE: Number of bytes read=821850

FILE: Number of bytes written=1655956

FILE: Number of read operations=0

FILE: Number of large read operations=0

FILE: Number of write operations=0

HDFS: Number of bytes read=118

HDFS: Number of bytes written=42

HDFS: Number of read operations=22

HDFS: Number of large read operations=0

HDFS: Number of write operations=5

Map-Reduce Framework

Map input records=2

Map output records=10

Map output bytes=87

Map output materialized bytes=119

Input split bytes=196

Combine input records=10

Combine output records=10

Reduce input groups=6

Reduce shuffle bytes=119

Reduce input records=10

Reduce output records=6

Spilled Records=20

Shuffled Maps = 2

Failed Shuffles=0

Merged Map outputs=2

GC time elapsed (ms) = 352

Total committed heap usage (bytes) = 457912320

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=47

File Output Format Counters

Bytes Written=42

[hadoop@host61 hadoop] $

[hadoop@host61 hadoop] $. / bin/hadoop fs-ls / out

Found 2 items

-rw-r--r-- 3 hadoop supergroup 0 2015-10-02 18:53 / out/_SUCCESS

-rw-r--r-- 3 hadoop supergroup 42 2015-10-02 18:53 / out/part-r-00000

[hadoop@host61 hadoop] $. / bin/hadoop fs-cat / out/_SUCCESS

[hadoop@host61 hadoop] $. / bin/hadoop fs-cat / out/part-r-00000

File2

First1

Is2

Second1

The2

This2

[hadoop@host61 hadoop] $

These are all the contents of the article "how to configure deployment and testing of Hadoop2.7". Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!

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