如何在VmWare创建3节点Hadoop虚拟环境
发表于：2024-11-24 作者：热门IT资讯网编辑
编辑最后更新 2024年11月24日，一、 VM虚拟环境搭建说明：在windos10上使用VmWare Workstation创建3节点Hadoop虚拟环境创建虚拟机下一步设置虚拟机主机名和介质存放路径设置20G磁盘大小选择"自定义硬件"
一、 VM虚拟环境搭建
说明：在windos10上使用VmWare Workstation创建3节点Hadoop虚拟环境
创建虚拟机
下一步
设置虚拟机主机名和介质存放路径
设置20G磁盘大小
选择"自定义硬件"
配置网络模式为NAT模式
配置虚拟机启动镜像
到这里，使用虚拟机克隆技术配置另外两台slave
同理克隆slave2, 步骤省略
此时windos网络连接里面会出现两张虚拟网卡
接下来就是给虚拟机配置IP网络
虚拟机网卡IP要和NAT模式的IP是在同一个段，虚拟机才能通过windos笔记的VMnet8网卡与互联网通信
接下来启动虚拟机配置操作系统IP网络（具体配置过程省略）
二、Hadoop2.6.5+centos7.5三节点集群搭建步骤
1、环境规划
Hadoop2.6.5+centos7.52、配置集群中主机域名访问解析
[root@master ~]# cat /etc/hosts127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4::1 localhost localhost.localdomain localhost6 localhost6.localdomain6192.168.11.10 master192.168.11.11 slave1192.168.11.12 slave2注：slaver1和slaver2也是同样的配置
3.配置节点jdk环境
[root@master src]# pwd/usr/local/src[root@master src]# wget http://download.oracle.com/otn-pub/java/jdk/8u172-b11/a58eab1ec242421181065cdc37240b08/jdk-8u172-linux-x64.tar.gz[root@master src]#tar -zxvf jdk-8u172-linux-x64.tar.gz[root@master src]# ls192.168.10.11 192.168.10.12 hadoop-2.6.5 hadoop-2.6.5.tar.gz jdk1.8.0_172 jdk-8u172-linux-x64.tar.gz[root@master src]# cd ./jdk1.8.0_172/[root@master jdk1.8.0_172]# pwd/usr/local/src/jdk1.8.0_172在/etc/profile文件末尾添加
export JAVA_HOME=/usr/local/src/jdk1.8.0_172export JRE_HOME=${JAVA_HOME}/jreexport CLASSPATH=.:${JAVA_HOME}/lib:${JRE_HOME}/libexport PATH=${JAVA_HOME}/bin:$PATH使用/etc/profile文件立即生效
[root@master jdk1.8.0_172]# source /etc/profile验证jdk环境是否安装成功
[root@master jdk1.8.0_172]# java -versionjava version "1.8.0_172"Java(TM) SE Runtime Environment (build 1.8.0_172-b11)Java HotSpot(TM) 64-Bit Server VM (build 25.172-b11, mixed mode)备注：slaver1、slaver2节点同样的配置
[root@slave1 src]# java -versionjava version "1.8.0_172"Java(TM) SE Runtime Environment (build 1.8.0_172-b11)Java HotSpot(TM) 64-Bit Server VM (build 25.172-b11, mixed mode)[root@slave2 ~]# java -versionjava version "1.8.0_172"Java(TM) SE Runtime Environment (build 1.8.0_172-b11)Java HotSpot(TM) 64-Bit Server VM (build 25.172-b11, mixed mode)4.关闭系统防火墙和内核防火墙(master、slaver1、slaver2均需要以下操作)
1>清空系统防火墙
iptables -F iptables -X iptables -Z2>临时关闭内核防火墙
setenforce 0 getenforce ##查看防火墙状态3>永久性关闭内核防火墙
vim /etc/sysconfig/selinux 把SELINUX状态改为disabledSELINUX=disabled5.配置集群节点ssh户型
说明：执行以下操作，完成集群中的节点两两免密登陆
[root@master jdk1.8.0_172]# ssh-keygen -t rsa ##如果环境没有配置过秘钥，一路回车就行Generating public/private rsa key pair.Enter file in which to save the key (/root/.ssh/id_rsa):/root/.ssh/id_rsa already exists.Overwrite (y/n)? y ##说明：因为之前配置过秘钥，所以才提示这一步Enter passphrase (empty for no passphrase):Enter same passphrase again: ##回车Your identification has been saved in /root/.ssh/id_rsa.Your public key has been saved in /root/.ssh/id_rsa.pub.The key fingerprint is:SHA256:TogQfLv56boAaUDkQbtff0TEyYLS/qERnYU5wuVRRAw root@masterThe key's randomart image is:+---[RSA 2048]----+|o*. o +E&*. ||o +o.*.Bo= ||.o..o.o.o. ||.....+ o. ||oo .+= S. ||... +..+. || .. . o.. || . o . || o+. |+----[SHA256]-----+[root@master jdk1.8.0_172]# ssh-copy-id master/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/root/.ssh/id_rsa.pub"The authenticity of host 'master (192.168.10.10)' can't be established.ECDSA key fingerprint is SHA256:Ibqy6UOiZGGsuF285qc/Q7nwyW88CpdVk2HcfbDTmzg.ECDSA key fingerprint is MD5:a6:cd:4a:ad:a1:1c:83:b6:20:c5:5b:13:32:78:34:98.Are you sure you want to continue connecting (yes/no)? yes/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed -- if you are prompted now it is to install the new keysroot@master's password: ##输入root的密码Number of key(s) added: 1Now try logging into the machine, with: "ssh 'master'"and check to make sure that only the key(s) you wanted were added.[root@master jdk1.8.0_172]# ssh-copy-id slave1/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/root/.ssh/id_rsa.pub"/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed -- if you are prompted now it is to install the new keysroot@slave1's password: ##输入root的登陆密码Number of key(s) added: 1Now try logging into the machine, with: "ssh 'slave1'"and check to make sure that only the key(s) you wanted were added.[root@master jdk1.8.0_172]# ssh-copy-id slave2/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/root/.ssh/id_rsa.pub"/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed -- if you are prompted now it is to install the new keysroot@slave2's password:Number of key(s) added: 1Now try logging into the machine, with: "ssh 'slave2'"and check to make sure that only the key(s) you wanted were added.说明：slave1和slave2节点也需要执行上面同样的操作安装Hadoop集群（master、slave1、slave2节点配置）
6.下载hadoop二进制安装包并安装(master、slave1、slave2节点执行)
[root@master ~]# cd /usr/local/src/[root@master src]# wget http://archive.apache.org/dist/hadoop/common/hadoop-2.6.5/hadoop-2.6.5.tar.gz[root@master src]# tar -zxvf hadoop-2.6.5.tar.gz[root@master src]# pwd/usr/local/src[root@master src]# lshadoop-2.6.5 jdk1.8.0_172hadoop-2.6.5.tar.gz jdk-8u172-linux-x64.tar.gz7.设置master节点的JAVA_HOME环境变量
[root@master src]# lshadoop-2.6.5 hadoop-2.6.5.tar.gz jdk1.8.0_172 jdk-8u172-linux-x64.tar.gz[root@master src]# cd hadoop-2.6.5/etc/hadoop/[root@master hadoop]# lscapacity-scheduler.xml hadoop-policy.xml kms-log4j.properties ssl-client.xml.exampleconfiguration.xsl hdfs-site.xml kms-site.xml ssl-server.xml.examplecontainer-executor.cfg httpfs-env.sh log4j.properties yarn-env.cmdcore-site.xml httpfs-log4j.properties mapred-env.cmd yarn-env.shhadoop-env.cmd httpfs-signature.secret mapred-env.sh yarn-site.xmlhadoop-env.sh httpfs-site.xml mapred-queues.xml.templatehadoop-metrics2.properties kms-acls.xml mapred-site.xml.templatehadoop-metrics.properties kms-env.sh slaves[root@master hadoop]# echo $JAVA_HOME/usr/local/src/jdk1.8.0_172[root@master hadoop]# vi hadoop-env.sh# Licensed to the Apache Software Foundation (ASF) under one# or more contributor license agreements. See the NOTICE file# distributed with this work for additional information# regarding copyright ownership. The ASF licenses this file# to you under the Apache License, Version 2.0 (the# "License"); you may not use this file except in compliance# with the License. You may obtain a copy of the License at## http://www.apache.org/licenses/LICENSE-2.0## Unless required by applicable law or agreed to in writing, software# distributed under the License is distributed on an "AS IS" BASIS,# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.# See the License for the specific language governing permissions and# limitations under the License.# Set Hadoop-specific environment variables here.# The only required environment variable is JAVA_HOME. All others are# optional. When running a distributed configuration it is best to# set JAVA_HOME in this file, so that it is correctly defined on# remote nodes.# The java implementation to use.export JAVA_HOME=/usr/local/src/jdk1.8.0_172[root@master hadoop]# vi yarn-env.sh# distributed under the License is distributed on an "AS IS" BASIS,# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.# See the License for the specific language governing permissions and# limitations under the License.# User for YARN daemonsexport HADOOP_YARN_USER=${HADOOP_YARN_USER:-yarn}# resolve links - $0 may be a softlinkexport YARN_CONF_DIR="${YARN_CONF_DIR:-$HADOOP_YARN_HOME/conf}"# some Java parametersexport JAVA_HOME=/usr/local/src/jdk1.8.0_172if [ "$JAVA_HOME" != "" ]; then #echo "run java in $JAVA_HOME" JAVA_HOME=$JAVA_HOMEfiif [ "$JAVA_HOME" = "" ]; then echo "Error: JAVA_HOME is not set." exit 1fiJAVA=$JAVA_HOME/bin/java-- INSERT --同理配置slave1和slave2节点的JAVA_HOME环境变量
配置hadoop集群master节点slaves文件主机名
[root@master hadoop]# pwd/usr/local/src/hadoop-2.6.5/etc/hadoop[root@master hadoop]# lscapacity-scheduler.xml hadoop-policy.xml kms-log4j.properties slavesconfiguration.xsl hdfs-site.xml kms-site.xml ssl-client.xml.examplecontainer-executor.cfg httpfs-env.sh log4j.properties ssl-server.xml.examplecore-site.xml httpfs-log4j.properties mapred-env.cmd yarn-env.cmdhadoop-env.cmd httpfs-signature.secret mapred-env.sh yarn-env.shhadoop-env.sh httpfs-site.xml mapred-queues.xml.template yarn-site.xmlhadoop-metrics2.properties kms-acls.xml mapred-site.xmlhadoop-metrics.properties kms-env.sh mapred-site.xml.template[root@master hadoop]# vim slavesslave1slave2##master节点[root@master hadoop]# pwd/usr/local/src/hadoop-2.6.5/etc/hadoop[root@master hadoop]# vi core-site.xml 11 distributed under the License is distributed on an "AS IS" BASIS , 12 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 See the License for the specific language governing permissions and 14 limitations under the License. See accompanying LICENSE file. 15 --> 16 17 18 19 20 21 fs.defaultFS 22 hdfs://master:9000 23 24 25 hadoop.tmp.dir 26 file:/usr/local/src/hadoop-2.8.2/tmp/ 27 28 [root@master hadoop]# vi hdfs-site.xml 1 2 3 16 17 18 19 20 21 dfs.namenode.secondary.http-address 22 master:9001 23 24 25 dfs.namenode.name.dir 26 file:/usr/local/src/hadoop-2.8.2/dfs/name 27 28 29 dfs.datanode.data.dir 30 file:/usr/local/src/hadoop-2.8.2/dfs/data 31 32 33 dfs.replication 34 2 35 36 [root@master hadoop]# lscapacity-scheduler.xml hadoop-policy.xml kms-log4j.properties ssl-client.xml.exampleconfiguration.xsl hdfs-site.xml kms-site.xml ssl-server.xml.examplecontainer-executor.cfg httpfs-env.sh log4j.properties yarn-env.cmdcore-site.xml httpfs-log4j.properties mapred-env.cmd yarn-env.shhadoop-env.cmd httpfs-signature.secret mapred-env.sh yarn-site.xmlhadoop-env.sh httpfs-site.xml mapred-queues.xml.templatehadoop-metrics2.properties kms-acls.xml mapred-site.xml.templatehadoop-metrics.properties kms-env.sh slaves[root@master hadoop]# vim mapred-mapred-env.cmd mapred-env.sh mapred-queues.xml.template mapred-site.xml.template[root@master hadoop]# cp mapred-site.xml.template mapred-site.xml[root@master hadoop]# vi mapred-site.xml 7 8 http://www.apache.org/licenses/LICENSE-2.0 9 10 Unless required by applicable law or agreed to in writing, softw are 11 distributed under the License is distributed on an "AS IS" BASIS , 12 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 See the License for the specific language governing permissions and 14 limitations under the License. See accompanying LICENSE file. 15 --> 16 17 18 19 20 21 mapreduce.framework.name 22 yarn 23 24 [root@master hadoop]# vi yarn-site.xml[root@master hadoop]# cat !$cat yarn-site.xml yarn.nodemanager.aux-services mapreduce_shuffle yarn.nodemanager.aux-services.mapreduce.shuffle.class org.apache.hadoop.mapred.ShuffleHandler yarn.resourcemanager.address master:8032 yarn.resourcemanager.scheduler.address master:8030 yarn.resourcemanager.resource-tracker.address master:8035 yarn.resourcemanager.admin.address master:8033 yarn.resourcemanager.webapp.address master:8088 yarn.nodemanager.vmem-check-enabled false 8.创建临时目录和文件目录
[root@master hadoop]# mkdir /usr/local/src/hadoop-2.6.5/tmp[root@master hadoop]# mkdir -p /usr/local/src/hadoop-2.6.5/dfs/name[root@master hadoop]# mkdir -p /usr/local/src/hadoop-2.6.5/dfs/data9.配置master、slave1、slave2节点的环境变量，编辑~/.bashrc文件，增加如下环境变量
vim ~/.bashrcexport HADOOP_HOME=/usr/local/src/hadoop-2.6.5export PATH=$PATH:$HADOOP_HOME/bin#刷新环境变量source ~/.bashrc10.从master节点拷贝安装包至slave1、slave2节点
scp -r /usr/local/src/hadoop-2.6.5 root@slave1:/usr/local/src/hadoop-2.6.5scp -r /usr/local/src/hadoop-2.6.5 root@slave2:/usr/local/src/hadoop-2.6.511.在master节点初始化Namenode
[root@master hadoop-2.6.5]# pwd/usr/local/src/hadoop-2.6.5[root@master hadoop-2.6.5]# ./bin/hadoop namenode -formatDEPRECATED: Use of this script to execute hdfs command is deprecated.Instead use the hdfs command for it.19/08/27 07:05:34 INFO namenode.NameNode: STARTUP_MSG:/************************************************************STARTUP_MSG: Starting NameNodeSTARTUP_MSG: host = master/192.168.11.10STARTUP_MSG: args = [-format]STARTUP_MSG: version = 2.6.5STARTUP_MSG: classpath = /usr/local/src/hadoop-2.6.5/etc/hadoop:/usr/local/src/hadoop-2.6.5/share/hadoop/common/lib/activation-1.1.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/common/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/common/lib/guava-11.0.2.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/common/lib/commons-net-3.1.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/common/lib/jackson-jaxrs-1.9.13.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/common/lib/servlet-api-2.5.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/common/lib/httpclient-4.2.5.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/common/lib/xz-1.0.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/common/lib/commons-cli-1.2.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/common/lib/slf4j-api-1.7.5.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/common/lib/jersey-2.6.5/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.6.5.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.6.5.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.5.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.6.5.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.6.5.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.6.5-tests.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.6.5.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.6.5.jar:/usr/local/src/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.6.5.jar:/usr/local/src/hadoop-2.6.5/contrib/capacity-scheduler/*.jar:/usr/local/src/hadoop-2.6.5/contrib/capacity-scheduler/*.jarSTARTUP_MSG: build = https://github.com/apache/hadoop.git -r e8c9fe0b4c252caf2ebf1464220599650f119997; compiled by 'sjlee' on 2016-10-02T23:43ZSTARTUP_MSG: java = 1.8.0_172************************************************************/19/08/27 07:05:34 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]19/08/27 07:05:34 INFO namenode.NameNode: createNameNode [-format]Formatting using clusterid: CID-7c5bbf4c-ea11-4088-8d8c-0f69117e327219/08/27 07:05:35 INFO namenode.FSNamesystem: No KeyProvider found.19/08/27 07:05:35 INFO namenode.FSNamesystem: fsLock is fair:true19/08/27 07:05:36 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=100019/08/27 07:05:36 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true19/08/27 07:05:36 INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to 000:00:00:00.00019/08/27 07:05:36 INFO blockmanagement.BlockManager: The block deletion will start around 2019 Aug 27 07:05:3619/08/27 07:05:36 INFO util.GSet: Computing capacity for map BlocksMap19/08/27 07:05:36 INFO util.GSet: VM type = 64-bit19/08/27 07:05:36 INFO util.GSet: 2.0% max memory 889 MB = 17.8 MB19/08/27 07:05:36 INFO util.GSet: capacity = 2^21 = 2097152 entries19/08/27 07:05:36 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false19/08/27 07:05:36 INFO blockmanagement.BlockManager: defaultReplication = 219/08/27 07:05:36 INFO blockmanagement.BlockManager: maxReplication = 51219/08/27 07:05:36 INFO blockmanagement.BlockManager: minReplication = 119/08/27 07:05:36 INFO blockmanagement.BlockManager: maxReplicationStreams = 219/08/27 07:05:36 INFO blockmanagement.BlockManager: replicationRecheckInterval = 300019/08/27 07:05:36 INFO blockmanagement.BlockManager: encryptDataTransfer = false19/08/27 07:05:36 INFO blockmanagement.BlockManager: maxNumBlocksToLog = 100019/08/27 07:05:36 INFO namenode.FSNamesystem: fsOwner = root (auth:SIMPLE)19/08/27 07:05:36 INFO namenode.FSNamesystem: supergroup = supergroup19/08/27 07:05:36 INFO namenode.FSNamesystem: isPermissionEnabled = true19/08/27 07:05:36 INFO namenode.FSNamesystem: HA Enabled: false19/08/27 07:05:36 INFO namenode.FSNamesystem: Append Enabled: true19/08/27 07:05:36 INFO util.GSet: Computing capacity for map INodeMap19/08/27 07:05:36 INFO util.GSet: VM type = 64-bit19/08/27 07:05:36 INFO util.GSet: 1.0% max memory 889 MB = 8.9 MB19/08/27 07:05:36 INFO util.GSet: capacity = 2^20 = 1048576 entries19/08/27 07:05:36 INFO namenode.NameNode: Caching file names occuring more than 10 times19/08/27 07:05:37 INFO util.GSet: Computing capacity for map cachedBlocks19/08/27 07:05:37 INFO util.GSet: VM type = 64-bit19/08/27 07:05:37 INFO util.GSet: 0.25% max memory 889 MB = 2.2 MB19/08/27 07:05:37 INFO util.GSet: capacity = 2^18 = 262144 entries19/08/27 07:05:37 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.999000012874603319/08/27 07:05:37 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 019/08/27 07:05:37 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension = 3000019/08/27 07:05:37 INFO namenode.FSNamesystem: Retry cache on namenode is enabled19/08/27 07:05:37 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis19/08/27 07:05:37 INFO util.GSet: Computing capacity for map NameNodeRetryCache19/08/27 07:05:37 INFO util.GSet: VM type = 64-bit19/08/27 07:05:37 INFO util.GSet: 0.029999999329447746% max memory 889 MB = 273.1 KB19/08/27 07:05:37 INFO util.GSet: capacity = 2^15 = 32768 entries19/08/27 07:05:37 INFO namenode.NNConf: ACLs enabled? false19/08/27 07:05:37 INFO namenode.NNConf: XAttrs enabled? true19/08/27 07:05:37 INFO namenode.NNConf: Maximum size of an xattr: 1638419/08/27 07:05:37 INFO namenode.FSImage: Allocated new BlockPoolId: BP-1415755876-192.168.11.10-156690393707519/08/27 07:05:37 INFO common.Storage: Storage directory /usr/local/src/hadoop-2.8.2/dfs/name has been successfully formatted.19/08/27 07:05:37 INFO namenode.FSImageFormatProtobuf: Saving image file /usr/local/src/hadoop-2.8.2/dfs/name/current/fsimage.ckpt_0000000000000000000 using no compression19/08/27 07:05:37 INFO namenode.FSImageFormatProtobuf: Image file /usr/local/src/hadoop-2.8.2/dfs/name/current/fsimage.ckpt_0000000000000000000 of size 321 bytes saved in 0 seconds.19/08/27 07:05:37 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 019/08/27 07:05:37 INFO util.ExitUtil: Exiting with status 019/08/27 07:05:37 INFO namenode.NameNode: SHUTDOWN_MSG:/************************************************************SHUTDOWN_MSG: Shutting down NameNode at master/192.168.11.10************************************************************/12.启动集群
[root@master hadoop-2.6.5]# ./sbin/start-all.shThis script is Deprecated. Instead use start-dfs.sh and start-yarn.shStarting namenodes on [master]master: starting namenode, logging to /usr/local/src/hadoop-2.6.5/logs/hadoop-root-namenode-master.outslave1: starting datanode, logging to /usr/local/src/hadoop-2.6.5/logs/hadoop-root-datanode-slave1.outslave2: starting datanode, logging to /usr/local/src/hadoop-2.6.5/logs/hadoop-root-datanode-slave2.outStarting secondary namenodes [master]master: starting secondarynamenode, logging to /usr/local/src/hadoop-2.6.5/logs/hadoop-root-secondarynamenode-master.outstarting yarn daemonsresourcemanager running as process 7671. Stop it first.slave1: starting nodemanager, logging to /usr/local/src/hadoop-2.6.5/logs/yarn-root-nodemanager-slave1.outslave2: starting nodemanager, logging to /usr/local/src/hadoop-2.6.5/logs/yarn-root-nodemanager-slave2.out13.查看hadoop集群状态
##master[root@master hadoop-2.6.5]# jps7671 ResourceManager8584 Jps8409 SecondaryNameNode8234 NameNode7758 NodeManager##slave1[root@slave1 hadoop]# jps1379 DataNode1460 NodeManager1578 Jps##slave2[root@slave2 hadoop-2.6.5]# jps1298 DataNode1379 NodeManager1476 Jps14.启动历史服务器
[root@master hadoop-2.6.5]# pwd/usr/local/src/hadoop-2.6.5[root@master hadoop-2.6.5]# ./sbin/mr-jobhistory-daemon.sh start historyserver starting historyserver, logging to /usr/local/src/hadoop-2.6.5/logs/mapred-root-historyserver-master.out此时注意查看selinux是否关闭且执行下面清楚防火墙iptables规则，否则在浏览器无法访问hadoop的监控Web界面[root@master hadoop-2.6.5]# iptables -F[root@master hadoop-2.6.5]# iptables -X[root@master hadoop-2.6.5]# iptables -Z15.hadoop集群监控界面
[root@master hadoop-2.6.5]# curl -I http://master:8088HTTP/1.1 302 FoundCache-Control: no-cacheExpires: Tue, 27 Aug 2019 11:17:43 GMTDate: Tue, 27 Aug 2019 11:17:43 GMTPragma: no-cacheExpires: Tue, 27 Aug 2019 11:17:43 GMTDate: Tue, 27 Aug 2019 11:17:43 GMTPragma: no-cacheContent-Type: text/plain; charset=UTF-8[root@master hadoop-2.6.5]# curl -I http://192.168.11.10:8088/HTTP/1.1 302 FoundCache-Control: no-cacheExpires: Tue, 27 Aug 2019 11:31:19 GMTDate: Tue, 27 Aug 2019 11:31:19 GMTPragma: no-cacheExpires: Tue, 27 Aug 2019 11:31:19 GMTDate: Tue, 27 Aug 2019 11:31:19 GMTPragma: no-cacheContent-Type: text/plain; charset=UTF-8Location: http://192.168.11.10:8088/clusterContent-Length: 0Server: Jetty(6.1.26)说明：1.使用curl 命令测试web界面访问返回状态码是3022.实际测试，在IE浏览器无法访问，只有在谷歌浏览器才能访问192.168.11.10:8080/cluster二、Spark安装
1.下载软件包
地址：http://archive.apache.org/dist/spark/spark-2.0.2/spark-2.0.2-bin-hadoop2.6.tgz把spark软件包上传至/usr/local/src2.下载scala软件包，下载地址：https://www.scala-lang.org/download/2.11.12.html
[root@master src]# pwd/usr/local/src[root@master src]# lltotal 590548drwxrwxr-x 12 1000 1000 197 Sep 19 11:32 hadoop-2.6.5-rw-r--r--. 1 root root 199635269 Jul 3 19:09 hadoop-2.6.5.tar.gzdrwxr-xr-x. 8 10 143 255 Mar 29 2018 jdk1.8.0_172-rw-r--r--. 1 root root 190921804 Jul 3 19:09 jdk-8u172-linux-x64.tar.gzdrwxrwxr-x 6 1001 1001 50 Nov 9 2017 scala-2.11.12-rw-r--r-- 1 root root 29114457 Oct 23 19:17 scala-2.11.12.tgzdrwxr-xr-x 12 500 500 193 Nov 7 2016 spark-2.0.2-bin-hadoop2.6-rw-r--r-- 1 root root 185040619 Oct 23 18:50 spark-2.0.2-b3.分别解压spark和scala
[root@master src]#tar -xvf spark-2.0.2-bin-hadoop2.6.tgz[root@master src]#tar -xvf scala-2.11.12.tgz4.配置服务的环境变量
[root@master conf]# pwd/usr/local/src/spark-2.0.2-bin-hadoop2.6/conf[root@master conf]# cp spark-env.sh.template spark-env.sh[root@master conf]# vim spark-env.sh# Generic options for the daemons used in the standalone deploy mode# - SPARK_CONF_DIR Alternate conf dir. (Default: ${SPARK_HOME}/conf)# - SPARK_LOG_DIR Where log files are stored. (Default: ${SPARK_HOME}/logs)# - SPARK_PID_DIR Where the pid file is stored. (Default: /tmp)# - SPARK_IDENT_STRING A string representing this instance of spark. (Default: $USER)# - SPARK_NICENESS The scheduling priority for daemons. (Default: 0)export SCALA_HOME=/usr/local/src/scala-2.11.12export JAVA_HOME=/usr/local/src/jdk1.8.0_172export HADOOP_HOME=/usr/local/src/hadoop-2.6.5export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoopSPARK_MASTER_IP=masterSPARK_LOCAL_DIRS=/usr/local/src/spark-2.0.2-bin-hadoop2.6SPARK_DRIVER_MEMORY=1G修改slaves文件，配置从节点主机名[root@master conf]# lltotal 40-rw-r--r-- 1 500 500 987 Nov 7 2016 docker.properties.template-rw-r--r-- 1 500 500 1105 Nov 7 2016 fairscheduler.xml.template-rw-r--r-- 1 500 500 2025 Nov 7 2016 log4j.properties.template-rw-r--r-- 1 500 500 7239 Nov 7 2016 metrics.properties.template-rw-r--r-- 1 500 500 865 Nov 7 2016 slaves.template-rw-r--r-- 1 500 500 1292 Nov 7 2016 spark-defaults.conf.template-rwxr-xr-x 1 root root 4160 Nov 18 02:50 spark-env.sh-rwxr-xr-x 1 500 500 3861 Nov 7 2016 spark-env.sh.template[root@master conf]# cp slaves.template slaves[root@master conf]# vi slaves# A Spark Worker will be started on each of the machines listed below.slave1slave2配置服务系统环境变量
[root@master conf]# vim ~/.bashrc# .bashrc# User specific aliases and functionsalias rm='rm -i'alias cp='cp -i'alias mv='mv -i'# Source global definitionsif [ -f /etc/bashrc ]; then . /etc/bashrcfiexport HADOOP_HOME=/usr/local/src/hadoop-2.6.5export PATH=$PATH:$HADOOP_HOME/bin####在文件底部增加spark和scala系统环境变量####scale_pathexport SCALA_HOME=/usr/local/src/scala-2.11.12export PATH=$PATH:$SCALA_HOME/bin#sparK_pathexport SPARK_HOME=/usr/local/src/spark-2.0.2-bin-hadoop2.6export PATH=$PATH:$SPARK_HOME/bin:$SPARK_HOME/sbin复制环境变量到其他节点
scp -r ~/.bashrc root@slave1:~/scp -r ~/.bashrc root@slave2:~/复制Scala包到从节点
[root@master conf]# scp -r /usr/local/src/scala-2.11.12 root@slave1:/usr/local/src/[root@master conf]# scp -r /usr/local/src/scala-2.11.12 root@slave2:/usr/local/src/复制Spark包到从节点
[root@master conf]# scp -r /usr/local/src/spark-2.0.2-bin-hadoop2.6 root@slave1:/usr/local/src/[root@master conf]# scp -r /usr/local/src/spark-2.0.2-bin-hadoop2.6 root@slave2:/usr/local/src/#重新加载环境变量source ~/.bashrc启动spark集群
[root@master conf]# /usr/local/src/spark-2.0.2-bin-hadoop2.6/sbin/start-all.shstarting org.apache.spark.deploy.master.Master, logging to /usr/local/src/spark-2.0.2-bin-hadoop2.6/logs/spark-root-org.apache.spark.deploy.master.Master-1-master.outslave1: starting org.apache.spark.deploy.worker.Worker, logging to /usr/local/src/spark-2.0.2-bin-hadoop2.6/logs/spark-root-org.apache.spark.deploy.worker.Worker-1-slave1.outslave2: starting org.apache.spark.deploy.worker.Worker, logging to /usr/local/src/spark-2.0.2-bin-hadoop2.6/logs/spark-root-org.apache.spark.deploy.worker.Worker-1-slave2.out查看服务进程
#Master: Master
#Slave1: Worker
#Slave2: Worker
登陆网页控制台 http://master:8080