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

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

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发布时间：2019-06-29

本文共 7804 字，大约阅读时间需要 26 分钟。

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    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：     
             
       
        org.mortbay.jetty
             
       
        jetty-util
             
       
        test
            
           
             
       
        org.mortbay.jetty
              
       
        jetty
              
       
        test
            
      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：

14/02/14 09:57:59 INFO mapreduce.Job: Task Id : attempt_1392341518773_0004_m_000000_0, Status : FAILEDContainer 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:57)    at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)    at java.lang.reflect.Constructor.newInstance(Constructor.java:526)    at org.apache.hadoop.yarn.api.records.impl.pb.SerializedExceptionPBImpl.instantiateException(SerializedExceptionPBImpl.java:152)    at org.apache.hadoop.yarn.api.records.impl.pb.SerializedExceptionPBImpl.deSerialize(SerializedExceptionPBImpl.java:106)    at org.apache.hadoop.mapreduce.v2.app.launcher.ContainerLauncherImpl$Container.launch(ContainerLauncherImpl.java:155)    at org.apache.hadoop.mapreduce.v2.app.launcher.ContainerLauncherImpl$EventProcessor.run(ContainerLauncherImpl.java:369)    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)    at java.lang.Thread.run(Thread.java:744)

解决办法是：

vim etc/hadoop/yarn-site.xml

<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 setif [[ -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." 1>&2    exit 1  fifi

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

14/02/14 10:15:23 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:803214/02/14 10:15:24 INFO input.FileInputFormat: Total input paths to process : 214/02/14 10:15:24 INFO mapreduce.JobSubmitter: number of splits:214/02/14 10:15:24 INFO Configuration.deprecation: user.name is deprecated. Instead, use mapreduce.job.user.name14/02/14 10:15:24 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar14/02/14 10:15:24 INFO Configuration.deprecation: mapred.output.value.class is deprecated. Instead, use mapreduce.job.output.value.class14/02/14 10:15:24 INFO Configuration.deprecation: mapreduce.combine.class is deprecated. Instead, use mapreduce.job.combine.class14/02/14 10:15:24 INFO Configuration.deprecation: mapreduce.map.class is deprecated. Instead, use mapreduce.job.map.class14/02/14 10:15:24 INFO Configuration.deprecation: mapred.job.name is deprecated. Instead, use mapreduce.job.name14/02/14 10:15:24 INFO Configuration.deprecation: mapreduce.reduce.class is deprecated. Instead, use mapreduce.job.reduce.class14/02/14 10:15:24 INFO Configuration.deprecation: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir14/02/14 10:15:24 INFO Configuration.deprecation: mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir14/02/14 10:15:24 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps14/02/14 10:15:24 INFO Configuration.deprecation: mapred.output.key.class is deprecated. Instead, use mapreduce.job.output.key.class14/02/14 10:15:24 INFO Configuration.deprecation: mapred.working.dir is deprecated. Instead, use mapreduce.job.working.dir14/02/14 10:15:24 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1392344053646_000114/02/14 10:15:24 INFO impl.YarnClientImpl: Submitted application application_1392344053646_0001 to ResourceManager at /0.0.0.0:803214/02/14 10:15:24 INFO mapreduce.Job: The url to track the job: http://localhost:8088/proxy/application_1392344053646_0001/14/02/14 10:15:24 INFO mapreduce.Job: Running job: job_1392344053646_000114/02/14 10:15:31 INFO mapreduce.Job: Job job_1392344053646_0001 running in uber mode : false14/02/14 10:15:31 INFO mapreduce.Job:  map 0% reduce 0%14/02/14 10:15:35 INFO mapreduce.Job:  map 100% reduce 0%14/02/14 10:15:40 INFO mapreduce.Job:  map 100% reduce 100%14/02/14 10:15:41 INFO mapreduce.Job: Job job_1392344053646_0001 completed successfully14/02/14 10:15:41 INFO mapreduce.Job: Counters: 43

运行结果：

root@water:/home/hadoop# bin/hdfs dfs -cat /out/*hadoop    1hello    2world    1

附加：hadoop启动的一些相关命令

启动namenodesbin/hadoop-daemon.sh start namenodesbin/hadoop-daemon.sh start datanode关闭namenodesbin/hadoop-daemon.sh stop datanodesbin/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   可以访问hadoop管理页面   hadoop job管理界面  可以访问namenode节点信息。 可以查看各节点的文件 browser file system

2014-02-19 09:46:49,710 WARN  [main-SendThread(localhost:2181)] zookeeper.ClientCnxn: Session 0x0 for server null, unexpected error, closing socket connection and attempting reconnectjava.net.ConnectException: 拒绝连接        at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)        at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:735)        at org.apache.zookeeper.ClientCnxnSocketNIO.doTransport(ClientCnxnSocketNIO.java:350)        at org.apache.zookeeper.ClientCnxn$SendThread.run(ClientCnxn.java:1068) 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：