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我试图在笔记本电脑上自学Hadoop。我的目标是让伪分布式模式运行。在ubuntu中以伪分布模式设置Hadoop
我正在关注Apache网站上的guide以在Ubuntu中设置Hadoop和HDFS，但是我无法使其工作。这是到目前为止，我遵循的步骤：
1）检查Java版本：
sudo apt-get update
sudo apt-get install default-jdk
java -version
回报：
openjdk version "1.8.0_111"
OpenJDK Runtime Environment (build 1.8.0_111-8u111-b14-2ubuntu0.16.04.2-b14)
OpenJDK 64-Bit Server VM (build 25.111-b14, mixed mode)
2）获得的Hadoop 2.7：
wget http://apache.mirrors.tds.net/hadoop/common/hadoop-2.7.3/hadoop-2.7.3.tar.gz
cd /home/me/Downloads
tar zxf hadoop-2.7.3.tar.gz
mv hadoop-2.7.3 /home/me
3 ）将Hadoop链接到JAVA。
取代
export JAVA_HOME=${JAVA_HOME}
通过
export JAVA_HOME=$(readlink -f /usr/bin/java | sed "s:bin/java::")
在
gedit /home/me/hadoop-2.7.3/etc/hadoop/hadoop-env.sh
4）添加SSH：
sudo apt-get install openssh-server
sudo apt-get install ssh
sudo apt-get install rsync
5）添加/home/me/hadoop-2.7.3/bin和/home/me/hadoop-2.7.3/sbin到PATH：
cd
gedit .bashrc
，并添加：
export PATH=$PATH:/home/me/hadoop-2.7.3/bin
export PATH=$PATH:/home/me/hadoop-2.7.3/sbin
source .bashrc
7）现在，我试图建立伪分布式操作模式。不过 继instructions，我通过在<configuration>块添加
<property>
<name>fs.defaultFS</name>
<value>hdfs://localhost:9000</value>
</property
改变/home/me/hadoop-2.7.3/etc/hadoop/core-site.xml和我加入
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
8更改/home/me/hadoop-2.7.3/etc/hadoop/hdfs-site.xml）继说明，这样做的：
hdfs namenode -format
似乎工作（产生Y/N提示和大量的文字在屏幕上）。
9）启动HDFS：
start-dfs.sh
也似乎工作（提示一对密码）。
10）创建输入文件夹结构。做
hdfs dfs -mkdir /user
hdfs dfs -mkdir /user/hduser/
hdfs dfs -mkdir /user/hduser/input/
的作品。但现在，做
hdfs dfs -put /home/me/Desktop/work/cv/hadoop/salaries.csv /user/hduser/input/
产量：
16/12/12 14:53:14 WARN hdfs.DFSClient: DataStreamer Exception
org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /user/hduser/input/salaries.csv._COPYING_ could only be replicated to 0 nodes instead of minReplication (=1). There are 0 datanode(s) running and no node(s) are excluded in this operation.
at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1571)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getNewBlockTargets(FSNamesystem.java:3107)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:3031)
at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:725)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:492)
at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:616)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:982)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2049)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2045)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2043)
at org.apache.hadoop.ipc.Client.call(Client.java:1475)
at org.apache.hadoop.ipc.Client.call(Client.java:1412)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:229)
at com.sun.proxy.$Proxy10.addBlock(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:418)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:191)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
at com.sun.proxy.$Proxy11.addBlock(Unknown Source)
at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.locateFollowingBlock(DFSOutputStream.java:1455)
at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.nextBlockOutputStream(DFSOutputStream.java:1251)
at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:448)
put: File /user/hduser/input/salaries.csv._COPYING_ could only be replicated to 0 nodes instead of minReplication (=1). There are 0 datanode(s) running and no node(s) are excluded in this operation.
和
hdfs dfs -ls /user/hduser/input
不显示任何东西;（
编辑：
阅读Arduino的哨兵的回答后，我的hdfs-site.xml文件是：
<configuration>
<property>
<name>dfs.namenode.name.dir</name>
<value>/home/me/Desktop/work/cv/hadoop/namenode</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>/home/me/Desktop/work/cv/hadoop/datanode</value>
</property>
</configuration>
两者/home/me/Desktop/work/cv/hadoop/datanode和/home/me/Desktop/work/cv/hadoop/namenode存在。
确保/home/me/Desktop/work/cv/hadoop/datanode和/home/me/Desktop/work/cv/hadoop/namenode是空的：
rm -rf /home/me/Desktop/work/cv/hadoop/namenode/*
rm -rf /home/me/Desktop/work/cv/hadoop/datanode/*
，现在在做
hdfs dfs -put /home/me/Desktop/work/cv/hadoop/salaries.csv /user/hduser/input/
不会返回一条错误消息，这样做的：
hdfs dfs -ls /user/hduser/input
产生的预期的结果：
Found 1 items
-rw-r--r-- 3 me supergroup 1771685 2016-12-20 12:23 /user/hduser/input/salaries.csv
你在'PATH'环境变量中是否有'/ usr/local/hadoop/bin'？请发布'echo $ PATH'的输出。 –
为PATH添加了'/ usr/local/hadoop /'（谢谢！）。 echo $ PATH给出：/ usr/local/sbin：/ usr/local/bin：/ usr/sbin：/ usr/bin：/ sbin：/ bin：/ usr/games：/ usr/local/games： /卡/斌：在/ usr /本地/ Hadoop的/ bin'。但脚本仍然不能运行（虽然现在的错误信息不同） – user189035
您可以发布Hadoop core-site.xml配置文件的内容吗？ –