hadoop2.3.0单点伪分布与多点分布的配置 - 数据库编程

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 JAVA_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

fs.defaultFS

hdfs://cloud1:9000

io.file.buffer.size

131072

hadoop.tmp.dir

/opt/hadoop/tmp

A base for other temporary directories.

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

hdfs-site.xml

dfs.namenode.name.dir

/opt/hadoop/name

dfs.datanode.data.dir

/opt/hadoop/data

dfs.replication

yarn-site.xml

yarn.resourcemanager.address

cloud1:8032

ResourceManager host:port for clients to submit jobs.

yarn.resourcemanager.scheduler.address

cloud1:8030

ResourceManager host:port for ApplicationMasters to talk to Scheduler to obtain resources.

yarn.resourcemanager.resource-tracker.address

cloud1:8031

ResourceManager host:port for NodeManagers.

yarn.resourcemanager.admin.address

cloud1:8033

ResourceManager host:port for administrative commands.

yarn.resourcemanager.webapp.address

cloud1:8088

ResourceManager web-ui host:port.

yarn.resourcemanager.scheduler.class

org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler

In case you do not want to use the default scheduler

yarn.nodemanager.resource.memory-mb

10240

the amount of memory on the NodeManager in MB

yarn.nodemanager.local-dirs

the local directories used by the nodemanager

yarn.nodemanager.log-dirs

the directories used by Nodemanagers as log directories

yarn.nodemanager.remote-app-log-dir

/app-logs

directory on hdfs where the application logs are moved to

yarn.nodemanager.aux-services

mapreduce_shuffle

shuffle service that needs to be set for Map Reduce to run

mapred-site.xml

mapreduce.framework.name

yarn

mapreduce.jobhistory.address

cloud1:10020

mapreduce.jobhistory.webapp.address

cloud1:19888

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

hadoop2.3.0单点伪分布与多点分布的配置(二)