hadoop2.2.0 单机伪分布式（含64位hadoop编译） 及 eclipse hadoop开发环境搭建

时间：2021-05-27 19:32:47
hadoop中文镜像地址：http://mirrors.hust.edu.cn/apache/hadoop/core/hadoop-2.2.0/

第一步，下载

wget 'http://archive.apache.org/dist/hadoop/core/hadoop-2.2.0/hadoop-2.2.0.tar.gz'

第二步，编译haoop-2.2.0（注解：这一步很费时间）
因为官方下载只提供32位的，所以自己编译为64位
http://blog.csdn.net/canlets/article/details/18709969  在Ubuntu 64位OS上运行hadoop2.2.0[重新编译hadoop]  
我遇到了与上文作者完全一致的错误：
[INFO] BUILD FAILURE 
根据他提供的方法：
目前的2.2.0 的Source Code 压缩包解压出来的code有个bug 需要patch后才能编译。否则编译hadoop-auth 会提示上面错误。

解决办法如下：

修改下面的pom文件。该文件在hadoop源码包下寻找：

hadoop-common-project/hadoop-auth/pom.xml

打开上面的的pom文件，在54行加入如下的依赖：

     <dependency>

       <groupId>org.mortbay.jetty</groupId>

      <artifactId>jetty-util</artifactId>

      <scope>test</scope>

     </dependency>

     <dependency>

       <groupId>org.mortbay.jetty</groupId>

       <artifactId>jetty</artifactId>

       <scope>test</scope>

     </dependency>

然后重新运行编译指令即可。编译是一个缓慢的过程，耐心等待哦。

至此，应该编译完成
第三步：伪分布式安装
http://my.oschina.net/u/179537/blog/189239 主要参考这个
遇到的问题1：
// :: INFO mapreduce.Job: Task Id : attempt_1392341518773_0004_m_000000_0, Status : FAILED

Container launch failed for container_1392341518773_0004_01_000002 : org.apache.hadoop.yarn.exceptions.InvalidAuxServiceException: The auxService:mapreduce_shuffle does not exist

    at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)

    at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:)

    at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:)

    at java.lang.reflect.Constructor.newInstance(Constructor.java:)

    at org.apache.hadoop.yarn.api.records.impl.pb.SerializedExceptionPBImpl.instantiateException(SerializedExceptionPBImpl.java:)

    at org.apache.hadoop.yarn.api.records.impl.pb.SerializedExceptionPBImpl.deSerialize(SerializedExceptionPBImpl.java:)

    at org.apache.hadoop.mapreduce.v2.app.launcher.ContainerLauncherImpl$Container.launch(ContainerLauncherImpl.java:)

    at org.apache.hadoop.mapreduce.v2.app.launcher.ContainerLauncherImpl$EventProcessor.run(ContainerLauncherImpl.java:)

    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:)

    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:)

    at java.lang.Thread.run(Thread.java:)

解决办法是：
vim etc/hadoop/yarn-site.xml
<property>
    <name>yarn.nodemanager.aux-services</name>
    <value>mapreduce_shuffle</value> --------注意事项：是mapreduce_shuffle 不是 mapreduce.shuffle
</property>
然后重新启动 hadoop 即可。

遇到的问题2：

root@water:/home/hadoop# sbin/start-dfs.sh

Starting namenodes on [localhost]

localhost: Error: JAVA_HOME is not set and could not be found.

localhost: Error: JAVA_HOME is not set and could not be found.

vim libexec/hadoop-config.sh
找到 JAVA_HOME is not set and could not be found. 这个错误提示的代码，然后在其代码前面定义JAVA_HOME

export JAVA_HOME=/usr/java/jdk

# Attempt to set JAVA_HOME if it is not set

if [[ -z $JAVA_HOME ]]; then

  # On OSX use java_home (or /Library for older versions)

  if [ "Darwin" == "$(uname -s)" ]; then

    if [ -x /usr/libexec/java_home ]; then

      export JAVA_HOME=($(/usr/libexec/java_home))

    else

      export JAVA_HOME=(/Library/Java/Home)

    fi

  fi

  # Bail if we did not detect it

  if [[ -z $JAVA_HOME ]]; then

    echo "Error: JAVA_HOME is not set and could not be found." >&

    exit

  fi

fi

错误消失

第四步：运行wordcount：

bin/hadoop jar $HADOOP_HOME/share/hadoop/mapreduce/sources/hadoop-mapreduce-examples-2.2.0-sources.jar org.apache.hadoop.examples.WordCount /in /out

// :: INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:

// :: INFO input.FileInputFormat: Total input paths to process :

// :: INFO mapreduce.JobSubmitter: number of splits:

// :: INFO Configuration.deprecation: user.name is deprecated. Instead, use mapreduce.job.user.name

// :: INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar

// :: INFO Configuration.deprecation: mapred.output.value.class is deprecated. Instead, use mapreduce.job.output.value.class

// :: INFO Configuration.deprecation: mapreduce.combine.class is deprecated. Instead, use mapreduce.job.combine.class

// :: INFO Configuration.deprecation: mapreduce.map.class is deprecated. Instead, use mapreduce.job.map.class

// :: INFO Configuration.deprecation: mapred.job.name is deprecated. Instead, use mapreduce.job.name

// :: INFO Configuration.deprecation: mapreduce.reduce.class is deprecated. Instead, use mapreduce.job.reduce.class

// :: INFO Configuration.deprecation: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir

// :: INFO Configuration.deprecation: mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir

// :: INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps

// :: INFO Configuration.deprecation: mapred.output.key.class is deprecated. Instead, use mapreduce.job.output.key.class

// :: INFO Configuration.deprecation: mapred.working.dir is deprecated. Instead, use mapreduce.job.working.dir

// :: INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1392344053646_0001

// :: INFO impl.YarnClientImpl: Submitted application application_1392344053646_0001 to ResourceManager at /0.0.0.0:

// :: INFO mapreduce.Job: The url to track the job: http://localhost:8088/proxy/application_1392344053646_0001/

// :: INFO mapreduce.Job: Running job: job_1392344053646_0001

// :: INFO mapreduce.Job: Job job_1392344053646_0001 running in uber mode : false

// :: INFO mapreduce.Job:  map % reduce %

// :: INFO mapreduce.Job:  map % reduce %

// :: INFO mapreduce.Job:  map % reduce %

// :: INFO mapreduce.Job: Job job_1392344053646_0001 completed successfully

// :: INFO mapreduce.Job: Counters:

运行结果：

root@water:/home/hadoop# bin/hdfs dfs -cat /out/*

hadoop    1

hello    2

world    1

附加：hadoop启动的一些相关命令

启动namenode

sbin/hadoop-daemon.sh start namenode

sbin/hadoop-daemon.sh start datanode

关闭namenode

sbin/hadoop-daemon.sh stop datanode

sbin/hadoop-daemon.sh stop namenode

root@water:/home/hadoop# sbin/start-dfs.sh 
Starting namenodes on [localhost]
localhost: starting namenode, logging to /home/hadoop-2.2.0/logs/hadoop-root-namenode-water.out
localhost: starting datanode, logging to /home/hadoop-2.2.0/logs/hadoop-root-datanode-water.out
Starting secondary namenodes [0.0.0.0]
0.0.0.0: starting secondarynamenode, logging to /home/hadoop-2.2.0/logs/hadoop-root-secondarynamenode-water.out
root@water:/home/hadoop# jps
6569 SecondaryNameNode
6283 NameNode
6400 DataNode
6703 Jps

root@water:/home/hadoop# sbin/start-yarn.sh 
starting yarn daemons
starting resourcemanager, logging to /home/hadoop-2.2.0/logs/yarn-root-resourcemanager-water.out
localhost: starting nodemanager, logging to /home/hadoop-2.2.0/logs/yarn-root-nodemanager-water.out
root@water:/home/hadoop# jps
6569 SecondaryNameNode
6283 NameNode
6400 DataNode
6961 Jps
6757 ResourceManager
6886 NodeManager

http://127.0.0.1:8088/  可以访问hadoop管理页面   hadoop job管理界面
http://127.0.0.1:50070 可以访问namenode节点信息。 可以查看各节点的文件 browser file system


-- ::, WARN  [main-SendThread(localhost:)] zookeeper.ClientCnxn: Session 0x0 for server null, unexpected error, closing socket connection and attempting reconnect

java.net.ConnectException: 拒绝连接

        at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)

        at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:)

        at org.apache.zookeeper.ClientCnxnSocketNIO.doTransport(ClientCnxnSocketNIO.java:)

        at org.apache.zookeeper.ClientCnxn$SendThread.run(ClientCnxn.java:)

这个异常的解决可以 启动完hbase，不关闭，然后再启动一次hbase 就可以。。。。。奇怪  参考连接：

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