hadoop2.3.0单点伪分布与多点分布的配置

机器mac book，virtualbox4.3.6，virtualbox安装ubunt13.10，在多点分布环境中，配置好一个机器后，clone出另外2个，一共三台机器。

1. Configure the Environment



Bash语言:

sudo apt-get install -y openjdk-7-jdk openssh-server

sudo addgroup hadoop

sudo adduser —ingroup hadoop hadoop # create password

sudo visudo

hadoop ALL=(ALL) ALL # hadoop user can use sudo

su - hadoop # need password

ssh-keygen -t rsa -P "" # Enter file (/home/hadoop/.ssh/id_rsa)

cat /home/hadoop/.ssh/id_rsa.pub >> /home/hadoop/.ssh/authorized_keys

wget http://apache.fayea.com/apache-mirror/hadoop/common/hadoop-2.3.0/hadoop-2.3.0.tar.gz
tar zxvf hadoop-2.3.0.tar.gz

sudo cp -r hadoop-2.3.0/ /opt

cd /opt

sudo ln -s hadoop-2.3.0 hadoop

sudo chown -R hadoop:hadoop hadoop-2.3.0

sed -i '$a \\nexport J***A_HOME=/usr/lib/jvm/java-7-openjdk-amd64' hadoop/etc/hadoop/hadoop-env.sh

2. Configure hadoop single Node environment

cp mapred-site.xml.template mapred-site.xml

vi mapred-site.xml

<property>

<name>mapreduce.cluster.temp.dir</name>

<value></value>

<description>No description</description>

<final>true</final>

</property>

<property>

<name>mapreduce.cluster.local.dir</name>

<value></value>

<description>No description</description>

<final>true</final>

</property>

vi yarn-site.xml

<property>

<name>yarn.resourcemanager.resource-tracker.address</name>

<value>127.0.0.1:8021</value>

<description>host is the hostname of the resource manager and port is the port on which the NodeManagers contact the Resource Manager.

</description>

</property>

<property>

<name>yarn.resourcemanager.scheduler.address</name>

<value>127.0.0.1:8022</value>

<description>host is the hostname of the resourcemanager and port is the port on which the Applications in the cluster talk to the Resource Manager.

</description>

</property>

<property>

<name>yarn.resourcemanager.scheduler.class</name>

<value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler</value>

<description>In case you do not want to use the default scheduler</description>

</property>

<property>

<name>yarn.resourcemanager.address</name>

<value>127.0.0.1:8023</value>

<description>the host is the hostname of the ResourceManager and the port is the port on which the clients can talk to the Resource Manager. </description>

</property>

<property>

<name>yarn.nodemanager.local-dirs</name>

<value></value>

<description>the local directories used by the nodemanager</description>

</property>

<property>

<name>yarn.nodemanager.address</name>

<value>0.0.0.0:8041</value>

<description>the nodemanagers bind to this port</description>

</property>

<property>

<name>yarn.nodemanager.resource.memory-mb</name>

<value>10240</value>

<description>the amount of memory on the NodeManager in GB</description>

</property>

<property>

<name>yarn.nodemanager.remote-app-log-dir</name>

<value>/app-logs</value>

<description>directory on hdfs where the application logs are moved to </description>

</property>

<property>

<name>yarn.nodemanager.log-dirs</name>

<value></value>

<description>the directories used by Nodemanagers as log directories</description>

</property>

<property>

<name>yarn.nodemanager.aux-services</name>

<value>mapreduce_shuffle</value>

<description>shuffle service that needs to be set for Map Reduce to run </description>

</property>

补充配置：

mapred-site.xml

<property>

<name>mapreduce.framework.name</name>

<value>yarn</value>

</property>

core-site.xml

<property>

<name>fs.defaultFS</name>

<value>hdfs://127.0.0.1:9000</value>

</property>

hdfs-site.xml

<property>

<name>dfs.replication</name>

<value>1</value>

</property>

Bash语言:

cd /opt/hadoop

bin/hdfs namenode -format

sbin/hadoop-daemon.sh start namenode

sbin/hadoop-daemon.sh start datanode

sbin/yarn-daemon.sh start resourcemanager

sbin/yarn-daemon.sh start nodemanager

jps

# Run a job on this node

bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.3.0.jar pi 5 10

3. Running Problem

14/01/04 05:38:22 INFO ipc.Client: Retrying connect to server: localhost/127.0.0.1:8023. Already tried 9 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10,
sleepTime=1 SECONDS)

netstat -atnp # found tcp6

Solve:

cat /proc/sys/net/ipv6/conf/all/disable_ipv6 # 0 means ipv6 is on, 1 means off

cat /proc/sys/net/ipv6/conf/lo/disable_ipv6

cat /proc/sys/net/ipv6/conf/default/disable_ipv6

ip a | grep inet6 # have means ipv6 is on

vi /etc/sysctl.conf

net.ipv6.conf.all.disable_ipv6=1

net.ipv6.conf.default.disable_ipv6=1

net.ipv6.conf.lo.disable_ipv6=1

sudo sysctl -p # have the same effect with reboot

sudo /etc/init.d/networking restart

4. Cluster setup

Config /opt/hadoop/etc/hadoop/{hadoop-env.sh, yarn-env.sh}

export J***A_HOME=/usr/lib/jvm/java-7-openjdk-amd64

cd /opt/hadoop

mkdir -p tmp/{data,name} #
on every node. name on namenode, data on datanode

vi /etc/hosts # hostname also changed on each node

192.168.1.110 cloud1

192.168.1.112 cloud2

192.168.1.114 cloud3

vi /opt/hadoop/etc/hadoop/slaves

cloud2

cloud3

core-site.xml

<configuration>

<property>

<name>fs.defaultFS</name>

<value>hdfs://cloud1:9000</value>

</property>

<property>

<name>io.file.buffer.size</name>

<value>131072</value>

</property>

<property>

<name>hadoop.tmp.dir</name>

<value>/opt/hadoop/tmp</value>

<description>A base for other temporary directories.</description>

</property>

</configuration>

据说dfs.datanode.data.dir 需要清空，不然datanode不能启动

hdfs-site.xml

<property>

<name>dfs.namenode.name.dir</name>

<value>/opt/hadoop/name</value>

</property>

<property>

<name>dfs.datanode.data.dir</name>

<value>/opt/hadoop/data</value>

</property>

<property>

<name>dfs.replication</name>

<value>2</value>

</property>

yarn-site.xml

<property>

<name>yarn.resourcemanager.address</name>

<value>cloud1:8032</value>

<description>ResourceManager host:port for clients to submit jobs. </description>

</property>

<property>

<name>yarn.resourcemanager.scheduler.address</name>

<value>cloud1:8030</value>

<description>ResourceManager host:port for ApplicationMasters to talk to Scheduler to obtain resources. </description>

</property>

<property>

<name>yarn.resourcemanager.resource-tracker.address</name>

<value>cloud1:8031</value>

<description>ResourceManager host:port for NodeManagers. </description>

</property>

<property>

<name>yarn.resourcemanager.admin.address</name>

<value>cloud1:8033</value>

<description>ResourceManager host:port for administrative commands. </description>

</property>

<property>

<name>yarn.resourcemanager.webapp.address</name>

<value>cloud1:8088</value>

<description>ResourceManager web-ui host:port. </description>

</property>

<property>

<name>yarn.resourcemanager.scheduler.class</name>

<value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler</value>

<description>In case you do not want to use the default scheduler</description>

</property>

<property>

<name>yarn.nodemanager.resource.memory-mb</name>

<value>10240</value>

<description>the amount of memory on the NodeManager in MB</description>

</property>

<property>

<name>yarn.nodemanager.local-dirs</name>

<value></value>

<description>the local directories used by the nodemanager</description>

</property>

<property>

<name>yarn.nodemanager.log-dirs</name>

<value></value>

<description>the directories used by Nodemanagers as log directories</description>

</property>

<property>

<name>yarn.nodemanager.remote-app-log-dir</name>

<value>/app-logs</value>

<description>directory on hdfs where the application logs are moved to </description>

</property>

<property>

<name>yarn.nodemanager.aux-services</name>

<value>mapreduce_shuffle</value>

<description>shuffle service that needs to be set for Map Reduce to run </description>

</property>

<!--

<property>

<name>yarn.nodemanager.aux-services.mapreduce_shuffle.class</name>

<value>org.apache.hadoop.mapred.ShuffleHandler</value>

</property>

-->

mapred-site.xml

<property>

<name>mapreduce.framework.name</name>

<value>yarn</value>

</property>

<property>

<name>mapreduce.jobhistory.address</name>

<value>cloud1:10020</value>

</property>

<property>

<name>mapreduce.jobhistory.webapp.address</name>

<value>cloud1:19888</value>

</property>

cd /opt/hadoop/

bin/hdfs namenode -format

sbin/start-dfs.sh #
cloud1 NameNode SecondaryNameNode, cloud2 and cloud3 DataNode

sbin/start-yarn.sh #
cloud1 ResourceManager, cloud2 and cloud3 NodeManager

jps

查看集群状态 bin/hdfs dfsadmin -report

查看文件块组成 bin/hdfs fsck / -files -blocks

NameNode查看hdfs http://192.168.1.110:50070
查看RM http://192.168.1.110:8088
bin/hdfs dfs -mkdir /input

bin/hadoop jar ./share/hadoop/mapreduce/hadoop-mapreduce-examples-2.3.0.jar randomwriter input

5. Questions:

Q: 14/01/05 23:59:05 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable

A: /opt/hadoop/lib/native/ 下面的动态链接库是32bit的，要替换成64位的

Q: ssh 登录出现Are you sure you want to continue connecting (yes/no)?解决方法

A: 修改/etc/ssh/ssh_config 将其中的# StrictHostKeyChecking ask 改成 StrictHostKeyChecking no

Q: 两个slaves的DataNode无法加入cluster系统，

A: 把/etc/hosts 里面127.0.1.1或localhost 的内容行删除