本Hadoop与HBase集群有1台NameNode, 7台DataNode
1. /etc/hostname文件
NameNode:
node1
DataNode 1:
node2
DataNode 2:
node3.......
DataNode 7:
node8
2. /etc/hosts文件
NameNode:
127.0.0.1 localhost #127.0.1.1 node1 #-------edit by HY(2014-05-04)-------- #127.0.1.1 node1 125.216.241.113 node1 125.216.241.112 node2 125.216.241.96 node3 125.216.241.111 node4 125.216.241.114 node5 125.216.241.115 node6 125.216.241.116 node7 125.216.241.117 node8 #-------end edit-------- # The following lines are desirable for IPv6 capable hosts ::1 ip6-localhost ip6-loopback fe00::0 ip6-localnet ff00::0 ip6-mcastprefix ff02::1 ip6-allnodes ff02::2 ip6-allrouters
127.0.0.1 localhost #127.0.0.1 node2 #127.0.1.1 node2 #--------eidt by HY(2014-05-04)-------- 125.216.241.113 node1 125.216.241.112 node2 125.216.241.96 node3 125.216.241.111 node4 125.216.241.114 node5 125.216.241.115 node6 125.216.241.116 node7 125.216.241.117 node8 #-------end eidt--------- # The following lines are desirable for IPv6 capable hosts ::1 ip6-localhost ip6-loopback fe00::0 ip6-localnet ff00::0 ip6-mcastprefix ff02::1 ip6-allnodes ff02::2 ip6-allrouters
其他的DataNode类似,只是注意要保持hostname与hosts中的域名要一样, 如果不一样, 在集群上跑任务时会出一些莫名奇妙的问题, 具体什么问题忘记了.
3. 在hadoop-env.sh中注释
# export JAVA_HOME=/usr/lib/j2sdk1.5-sun
增加
JAVA_HOME=/usr/lib/jvm/java-6-sun
4. core-site.xml
<?xml version="1.0"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- Put site-specific property overrides in this file. --> <configuration> <property> <name>fs.default.name</name> <value>hdfs://node1:49000</value> </property> <property> <name>hadoop.tmp.dir</name> <value>/home/hadoop/newdata/hadoop-1.2.1/tmp</value> </property> <property> <name>io.compression.codecs</name> <value>org.apache.hadoop.io.compress.DefaultCodec,org.apache.hadoop.io.compress.GzipCodec,org.apache.hadoop.io.compress.BZip2Codec,com.hadoop.compression.lzo.LzoCodec,com.hadoop.compression.lzo.LzopCodec</value> </property> <property> <name>io.compression.codec.lzo.class</name> <value>com.hadoop.compression.lzo.LzoCodec</value> </property> <property> <name>dfs.datanode.socket.write.timeout</name> <value>3000000</value> </property> <property> <name>dfs.socket.timeout</name> <value>3000000</value> </property> </configuration>
<?xml version="1.0"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- Put site-specific property overrides in this file. --> <configuration> <property> <name>dfs.name.dir</name> <value>/home/hadoop/newdata/hadoop-1.2.1/name1,/home/hadoop/newdata/hadoop-1.2.1/name2</value> <description>数据元信息存储位置</description> </property> <property> <name>dfs.data.dir</name> <value>/home/hadoop/newdata/hadoop-1.2.1/data1,/home/hadoop/newdata/hadoop-1.2.1/data2</value> <description>数据块存储位置</description> </property> <property> <name>dfs.replication</name> <!-- 这里备份两份 --> <value>2</value> </property> </configuration>
6. mapred-site.xml
<?xml version="1.0"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- Put site-specific property overrides in this file. --> <configuration> <property> <name>mapred.job.tracker</name> <value>node1:49001</value> </property> <property> <name>mapred.local.dir</name> <value>/home/hadoop/newdata/hadoop-1.2.1/tmp</value> </property> <property> <name>mapred.compress.map.output</name> <value>true</value> <!-- map 和 reduce 输出中间文件默认开启压缩 --> </property> <property> <name>mapred.map.output.compression.codec</name> <value>com.hadoop.compression.lzo.LzoCodec</value> <!-- 使用 Lzo 库作为压缩算法 --> </property> </configuration>
7. masters
node1
8. slaves
node2 node3 node4 node5 node6 node7 node8
9. 在hbase-env.sh
增加
JAVA_HOME=/usr/lib/jvm/java-6-sun
并启用export HBASE_MANAGES_ZK=true //为true表示使用自带的Zookeeper, 如果需要独立的Zookeeper,则设置为false, 并且安装Zookeeper
10. hbase-site.xml
<?xml version="1.0"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- /** * * Licensed to the Apache Software Foundation (ASF) under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. The ASF licenses this file * to you under the Apache License, Version 2.0 (the * "License"); you may not use this file except in compliance * with the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ --> <configuration> <property> <name>hbase.rootdir</name> <value>hdfs://node1:49000/hbase</value> <description>The directory shared by RegionServers.</description> </property> <property> <name>hbase.cluster.distributed</name> <value>true</value> <description>The mode the cluster will be in. Possible values are false: standalone and pseudo-distributed setups with managed Zookeeper true: fully-distributed with unmanaged Zookeeper Quorum (see hbase-env.sh) </description> </property> <property> <name>hbase.master</name> <value>node1:60000</value> <description> </description> </property> <property> <name>hbase.tmp.dir</name> <value>/home/hadoop/newdata/hbase/tmp</value> <description> Temporary directory on the local filesystem. Change this setting to point to a location more permanent than ‘/tmp‘, the usual resolve for java.io.tmpdir, as the ‘/tmp‘ directory is cleared on machine restart. Default: ${java.io.tmpdir}/hbase-${user.name} </description> </property> <property> <name>hbase.zookeeper.quorum</name> <value>node2,node3,node4,node5,node6,node7,node8</value> <description> 要单数台,Comma separated list of servers in the ZooKeeper ensemble (This config. should have been named hbase.zookeeper.ensemble). For example, "host1.mydomain.com,host2.mydomain.com,host3.mydomain.com". By default this is set to localhost for local and pseudo-distributed modes of operation. For a fully-distributed setup, this should be set to a full list of ZooKeeper ensemble servers. If HBASE_MANAGES_ZK is set in hbase-env.sh this is the list of servers which hbase will start/stop ZooKeeper on as part of cluster start/stop. Client-side, we will take this list of ensemble members and put it together with the hbase.zookeeper.clientPort config. and pass it into zookeeper constructor as the connectString parameter. Default: localhost </description> </property> <property> <name>hbase.zookeeper.property.dataDir</name> <value>/home/hadoop/newdata/zookeeper</value> <description> Property from ZooKeeper‘s config zoo.cfg. The directory where the snapshot is stored. Default: ${hbase.tmp.dir}/zookeeper </description> </property> <property> <name></name> <value></value> </property> </configuration>
11. regionservers
node2 node3 node4 node5 node6 node7 node8
每台机器配置都要一样
Hadoop配置文件与HBase配置文件,布布扣,bubuko.com
原文:http://blog.csdn.net/heyongluoyao8/article/details/25426903