Hadoop部署方式-高可用集群部署(High Availability)
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Hadoop部署方式-高可用集群部署(High Availability)
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Hadoop部署方式-高可用集群部署(High Availability)
作者：尹正杰
版權聲明：原創作品，謝絕轉載！否則將追究法律責任。
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本篇博客的高可用集群是建立在完全分布式基礎之上的，詳情請參考：https://www.cnblogs.com/yinzhengjie/p/9065191.html。并且需要新增一臺Linux服務器，用于Namenode的備份節點。
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一.實驗環境準備
需要準備五臺Linux操作系統的服務器，配置參數最好一樣，由于我的虛擬機是之前完全分布式部署而來的，因此我的環境都一致。
1>.NameNode服務器（s101)
2>.DataNode服務器(s102)
3>.DataNode服務器(s103)
4>.DataNode服務器(s104)
5>.DataNode服務器(s105)
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二.在s101上修改配置文件并分發到其它節點
關于配置hadoop高可用的參數，參考官網鏈接：http://hadoop.apache.org/docs/r2.7.3/hadoop-project-dist/hadoop-hdfs/HDFSHighAvailabilityWithQJM.html
1>.在s101上拷貝配置目錄并修改符號鏈接
[yinzhengjie@s101 ~]$ ll /soft/hadoop/etc/ total 12 drwxr-xr-x. 2 yinzhengjie yinzhengjie 4096 Jun 8 05:36 full lrwxrwxrwx. 1 yinzhengjie yinzhengjie 21 Jun 8 05:54 hadoop -> /soft/hadoop/etc/full drwxr-xr-x. 2 yinzhengjie yinzhengjie 4096 May 25 09:15 local drwxr-xr-x. 2 yinzhengjie yinzhengjie 4096 May 25 20:51 pseudo [yinzhengjie@s101 ~]$ cp -r /soft/hadoop/etc/full /soft/hadoop/etc/ha [yinzhengjie@s101 ~]$ ln -sfT /soft/hadoop/etc/ha /soft/hadoop/etc/hadoop [yinzhengjie@s101 ~]$ ll /soft/hadoop/etc/ total 16 drwxr-xr-x. 2 yinzhengjie yinzhengjie 4096 Jun 8 05:36 full drwxr-xr-x. 2 yinzhengjie yinzhengjie 4096 Jun 8 05:54 ha lrwxrwxrwx. 1 yinzhengjie yinzhengjie 19 Jun 8 05:54 hadoop -> /soft/hadoop/etc/ha drwxr-xr-x. 2 yinzhengjie yinzhengjie 4096 May 25 09:15 local drwxr-xr-x. 2 yinzhengjie yinzhengjie 4096 May 25 20:51 pseudo [yinzhengjie@s101 ~]$2>.配置s105ssh免密登陸
[yinzhengjie@s101 ~]$ ssh-copy-id yinzhengjie@s105 /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 keys yinzhengjie@s105's password: Number of key(s) added: 1Now try logging into the machine, with: "ssh 'yinzhengjie@s105'" and check to make sure that only the key(s) you wanted were added.[yinzhengjie@s101 ~]$ who yinzhengjie pts/0 2018-06-08 05:29 (172.16.30.1) [yinzhengjie@s101 ~]$ [yinzhengjie@s101 ~]$ ssh s105 Last login: Fri Jun 8 05:37:20 2018 from 172.16.30.1 [yinzhengjie@s105 ~]$ [yinzhengjie@s105 ~]$ who yinzhengjie pts/0 2018-06-08 05:37 (172.16.30.1) yinzhengjie pts/1 2018-06-08 05:56 (s101) [yinzhengjie@s105 ~]$ exit logout Connection to s105 closed. [yinzhengjie@s101 ~]$3>.編輯core-site.xml配置文件
[yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/core-site.xml <?xml version="1.0" encoding="UTF-8"?> <configuration><property><name>fs.defaultFS</name><value>hdfs://mycluster</value></property><property><name>hadoop.tmp.dir</name><value>/home/yinzhengjie/ha</value></property><property><name>hadoop.http.staticuser.user</name><value>yinzhengjie</value></property> </configuration><!--core-site.xml配置文件的作用：用于定義系統級別的參數，如HDFS URL、Hadoop的臨時 目錄以及用于rack-aware集群中的配置文件的配置等，此中的參 數定義會覆蓋core-default.xml文件中的默認配置。fs.defaultFS 參數的作用：#fs.defaultFS 客戶端連接HDFS時，默認的路徑前綴。如果前面配置了nameservice ID的值是mycluster，那么這里可以配置為授權 信息的一部分hadoop.tmp.dir 參數的作用：#聲明hadoop工作目錄的地址。hadoop.http.staticuser.user 參數的作用：#在網頁界面訪問數據使用的用戶名。--> [yinzhengjie@s101 ~]$4>.編輯hdfs-site.xml配置文件
[yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/hdfs-site.xml <?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <configuration><property><name>dfs.replication</name><value>3</value></property><property><name>dfs.namenode.name.dir</name><value>/home/yinzhengjie/ha/dfs/name1,/home/yinzhengjie/ha/dfs/name2</value></property><property><name>dfs.datanode.data.dir</name><value>/home/yinzhengjie/ha/dfs/data1,/home/yinzhengjie/ha/dfs/data2</value></property><!-- 高可用配置 --> <property><name>dfs.nameservices</name><value>mycluster</value> </property><property><name>dfs.ha.namenodes.mycluster</name><value>nn1,nn2</value> </property><property><name>dfs.namenode.rpc-address.mycluster.nn1</name><value>s101:8020</value> </property> <property><name>dfs.namenode.rpc-address.mycluster.nn2</name><value>s105:8020</value> </property><property><name>dfs.namenode.http-address.mycluster.nn1</name><value>s101:50070</value> </property> <property><name>dfs.namenode.http-address.mycluster.nn2</name><value>s105:50070</value> </property><property><name>dfs.namenode.shared.edits.dir</name><value>qjournal://s102:8485;s103:8485;s104:8485/mycluster</value> </property><property><name>dfs.client.failover.proxy.provider.mycluster</name><value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value> </property><!-- 在容災發生時，保護活躍的namenode --> <property><name>dfs.ha.fencing.methods</name><value>sshfence shell(/bin/true)</value> </property><property><name>dfs.ha.fencing.ssh.private-key-files</name><value>/home/yinzhengjie/.ssh/id_rsa</value> </property></configuration><!-- hdfs-site.xml 配置文件的作用：#HDFS的相關設定，如文件副本的個數、塊大小及是否使用強制權限 等，此中的參數定義會覆蓋hdfs-default.xml文件中的默認配置.dfs.replication 參數的作用：#為了數據可用性及冗余的目的，HDFS會在多個節點上保存同一個數據 塊的多個副本，其默認為3個。而只有一個節點的偽分布式環境中其僅用 保存一個副本即可，這可以通過dfs.replication屬性進行定義。它是一個 軟件級備份。dfs.namenode.name.dir 參數的作用：#本地磁盤目錄，NN存儲fsimage文件的地方。可以是按逗號分隔的目錄列表， fsimage文件會存儲在全部目錄，冗余安全。這里多個目錄設定，最好在多個磁盤， 另外，如果其中一個磁盤故障，不會導致系統故障，會跳過壞磁盤。由于使用了HA， 建議僅設置一個。如果特別在意安全，可以設置2個dfs.datanode.data.dir 參數的作用：#本地磁盤目錄，HDFS數據應該存儲Block的地方。可以是逗號分隔的目錄列表 （典型的，每個目錄在不同的磁盤）。這些目錄被輪流使用，一個塊存儲在這個目錄， 下一個塊存儲在下一個目錄，依次循環。每個塊在同一個機器上僅存儲一份。不存在 的目錄被忽略。必須創建文件夾，否則被視為不存在。dfs.nameservices 參數的作用：#nameservices列表。逗號分隔。dfs.ha.namenodes.mycluster 參數的作用：#dfs.ha.namenodes.[nameservice ID] 命名空間中所有NameNode的唯一標示名稱。 可以配置多個，使用逗號分隔。該名稱是可以讓DataNode知道每個集群的所有NameNode。 當前，每個集群最多只能配置兩個NameNode。dfs.namenode.rpc-address.mycluster.nn1 參數的作用：#dfs.namenode.rpc-address.[nameservice ID].[name node ID] 每個namenode監聽的RPC地址。dfs.namenode.http-address.mycluster.nn1 參數的作用：#dfs.namenode.http-address.[nameservice ID].[name node ID] 每個namenode監聽的http地址。dfs.namenode.shared.edits.dir 參數的作用：#這是NameNode讀寫JNs組的uri。通過這個uri，NameNodes可以讀寫edit log內容。URI的格式"qjournal://host1:port1;host2:port 2;host3:port3/journalId"。這里的host1、host2、host3指的是Journal Node的地址，這里必須是奇數個，至少3個；其中journalId是集群 的唯一標識符，對于多個聯邦命名空間，也使用同一個journalId。dfs.client.failover.proxy.provider.mycluster 參數的作用：#這里配置HDFS客戶端連接到Active NameNode的一個java類dfs.ha.fencing.methods 參數的作用：#dfs.ha.fencing.methods 配置active namenode出錯時的處理類。當active namenode出錯時，一般需要關閉該進程。處理方式可以 是ssh也可以是shell。dfs.ha.fencing.ssh.private-key-files 參數的作用：#使用sshfence時，SSH的私鑰文件。 使用了sshfence，這個必須指定--> [yinzhengjie@s101 ~]$5>.分發配置文件
[yinzhengjie@s101 ~]$ more `which xrsync.sh` #!/bin/bash #@author :yinzhengjie #blog:http://www.cnblogs.com/yinzhengjie #EMAIL:y1053419035@qq.com#判斷用戶是否傳參 if [ $# -lt 1 ];thenecho "請輸入參數";exit fi#獲取文件路徑 file=$@#獲取子路徑 filename=`basename $file`#獲取父路徑 dirpath=`dirname $file`#獲取完整路徑 cd $dirpath fullpath=`pwd -P`#同步文件到DataNode for (( i=102;i<=105;i++ )) do#使終端變綠色 tput setaf 2echo =========== s$i %file ===========#使終端變回原來的顏色，即白灰色tput setaf 7#遠程執行命令rsync -lr $filename `whoami`@s$i:$fullpath#判斷命令是否執行成功if [ $? == 0 ];thenecho "命令執行成功"fi done [yinzhengjie@s101 ~]$ xrsync.sh /soft/hadoop/etc/ =========== s102 %file =========== 命令執行成功 =========== s103 %file =========== 命令執行成功 =========== s104 %file =========== 命令執行成功 =========== s105 %file =========== 命令執行成功 [yinzhengjie@s101 ~]$?
三.啟動HDFS分布式系統
1>.啟動journalnode進程
[yinzhengjie@s101 ~]$ hadoop-daemons.sh start journalnode s104: starting journalnode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-journalnode-s104.out s103: starting journalnode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-journalnode-s103.out s102: starting journalnode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-journalnode-s102.out [yinzhengjie@s101 ~]$ xcall.sh jps ============= s101 jps ============ 2855 Jps 命令執行成功 ============= s102 jps ============ 2568 Jps 2490 JournalNode 命令執行成功 ============= s103 jps ============ 2617 Jps 2539 JournalNode 命令執行成功 ============= s104 jps ============ 2611 Jps 2532 JournalNode 命令執行成功 ============= s105 jps ============ 2798 Jps 命令執行成功 [yinzhengjie@s101 ~]$ more `which xcall.sh` #!/bin/bash #@author :yinzhengjie #blog:http://www.cnblogs.com/yinzhengjie #EMAIL:y1053419035@qq.com#判斷用戶是否傳參 if [ $# -lt 1 ];thenecho "請輸入參數"exit fi#獲取用戶輸入的命令 cmd=$@for (( i=101;i<=105;i++ )) do#使終端變綠色 tput setaf 2echo ============= s$i $cmd ============#使終端變回原來的顏色，即白灰色tput setaf 7#遠程執行命令ssh s$i $cmd#判斷命令是否執行成功if [ $? == 0 ];thenecho "命令執行成功"fi done [yinzhengjie@s101 ~]$2>.格式化名稱節點
[yinzhengjie@s101 ~]$ hdfs namenode -format 18/06/08 10:39:42 INFO namenode.NameNode: STARTUP_MSG: /************************************************************ STARTUP_MSG: Starting NameNode STARTUP_MSG: host = s101/172.16.30.101 STARTUP_MSG: args = [-format] STARTUP_MSG: version = 2.7.3 STARTUP_MSG: classpath = /soft/hadoop-2.7.3/etc/hadoop:/soft/hadoop-2.7.3/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/stax-api-1.0-2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/activation-1.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jackson-core-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jackson-mapper-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jackson-jaxrs-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jackson-xc-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jersey-server-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/asm-3.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/log4j-1.2.17.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jets3t-0.9.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/httpclient-4.2.5.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/httpcore-4.2.5.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-lang-2.6.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-configuration-1.6.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-digester-1.8.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/slf4j-api-1.7.10.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/avro-1.7.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/paranamer-2.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-compress-1.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/xz-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/gson-2.2.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/hadoop-auth-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/apacheds-kerberos-codec-2.0.0-M15.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/apacheds-i18n-2.0.0-M15.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/api-asn1-api-1.0.0-M20.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/api-util-1.0.0-M20.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/zookeeper-3.4.6.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/netty-3.6.2.Final.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/curator-framework-2.7.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/curator-client-2.7.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jsch-0.1.42.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/curator-recipes-2.7.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/htrace-core-3.1.0-incubating.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/junit-4.11.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/hamcrest-core-1.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/mockito-all-1.8.5.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/hadoop-annotations-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/guava-11.0.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jsr305-3.0.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-cli-1.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-math3-3.1.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/xmlenc-0.52.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-httpclient-3.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-logging-1.1.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-codec-1.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-io-2.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-net-3.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-collections-3.2.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/servlet-api-2.5.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jetty-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jetty-util-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jsp-api-2.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jersey-core-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jersey-json-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jettison-1.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/hadoop-common-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/hadoop-common-2.7.3-tests.jar:/soft/hadoop-2.7.3/share/hadoop/common/hadoop-nfs-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/guava-11.0.2.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jsr305-3.0.0.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-io-2.4.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jackson-core-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jackson-mapper-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/asm-3.2.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/htrace-core-3.1.0-incubating.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/netty-all-4.0.23.Final.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/xercesImpl-2.9.1.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/xml-apis-1.3.04.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/leveldbjni-all-1.8.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/hadoop-hdfs-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/hadoop-hdfs-2.7.3-tests.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/hadoop-hdfs-nfs-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/zookeeper-3.4.6-tests.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-lang-2.6.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/guava-11.0.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jsr305-3.0.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-logging-1.1.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-cli-1.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/log4j-1.2.17.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jaxb-api-2.2.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/stax-api-1.0-2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/activation-1.1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/xz-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/servlet-api-2.5.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-codec-1.4.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-core-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-client-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jackson-core-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jackson-mapper-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jackson-jaxrs-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jackson-xc-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/guice-3.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/javax.inject-1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/aopalliance-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-io-2.4.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-server-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/asm-3.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-json-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jettison-1.1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jaxb-impl-2.2.3-1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/zookeeper-3.4.6.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-collections-3.2.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jetty-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-api-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-common-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-common-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-tests-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-client-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-sharedcachemanager-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-registry-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jackson-core-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/xz-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/hadoop-annotations-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/commons-io-2.4.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/asm-3.2.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/leveldbjni-all-1.8.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/guice-3.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/javax.inject-1.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/junit-4.11.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/hamcrest-core-1.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.3-tests.jar:/contrib/capacity-scheduler/*.jar STARTUP_MSG: build = https://git-wip-us.apache.org/repos/asf/hadoop.git -r baa91f7c6bc9cb92be5982de4719c1c8af91ccff; compiled by 'root' on 2016-08-18T01:41Z STARTUP_MSG: java = 1.8.0_131 ************************************************************/ 18/06/08 10:39:42 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT] 18/06/08 10:39:42 INFO namenode.NameNode: createNameNode [-format] 18/06/08 10:39:43 WARN common.Util: Path /home/yinzhengjie/ha/dfs/name1 should be specified as a URI in configuration files. Please update hdfs configuration. 18/06/08 10:39:43 WARN common.Util: Path /home/yinzhengjie/ha/dfs/name2 should be specified as a URI in configuration files. Please update hdfs configuration. 18/06/08 10:39:43 WARN common.Util: Path /home/yinzhengjie/ha/dfs/name1 should be specified as a URI in configuration files. Please update hdfs configuration. 18/06/08 10:39:43 WARN common.Util: Path /home/yinzhengjie/ha/dfs/name2 should be specified as a URI in configuration files. Please update hdfs configuration. Formatting using clusterid: CID-d8db65bd-2f38-48df-bd5f-be7b8d9d362c 18/06/08 10:39:43 INFO namenode.FSNamesystem: No KeyProvider found. 18/06/08 10:39:43 INFO namenode.FSNamesystem: fsLock is fair:true 18/06/08 10:39:43 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000 18/06/08 10:39:43 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true 18/06/08 10:39:43 INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to 000:00:00:00.000 18/06/08 10:39:43 INFO blockmanagement.BlockManager: The block deletion will start around 2018 Jun 08 10:39:43 18/06/08 10:39:43 INFO util.GSet: Computing capacity for map BlocksMap 18/06/08 10:39:43 INFO util.GSet: VM type = 64-bit 18/06/08 10:39:43 INFO util.GSet: 2.0% max memory 889 MB = 17.8 MB 18/06/08 10:39:43 INFO util.GSet: capacity = 2^21 = 2097152 entries 18/06/08 10:39:43 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false 18/06/08 10:39:43 INFO blockmanagement.BlockManager: defaultReplication = 3 18/06/08 10:39:43 INFO blockmanagement.BlockManager: maxReplication = 512 18/06/08 10:39:43 INFO blockmanagement.BlockManager: minReplication = 1 18/06/08 10:39:43 INFO blockmanagement.BlockManager: maxReplicationStreams = 2 18/06/08 10:39:43 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000 18/06/08 10:39:43 INFO blockmanagement.BlockManager: encryptDataTransfer = false 18/06/08 10:39:43 INFO blockmanagement.BlockManager: maxNumBlocksToLog = 1000 18/06/08 10:39:43 INFO namenode.FSNamesystem: fsOwner = yinzhengjie (auth:SIMPLE) 18/06/08 10:39:43 INFO namenode.FSNamesystem: supergroup = supergroup 18/06/08 10:39:43 INFO namenode.FSNamesystem: isPermissionEnabled = true 18/06/08 10:39:43 INFO namenode.FSNamesystem: Determined nameservice ID: mycluster 18/06/08 10:39:43 INFO namenode.FSNamesystem: HA Enabled: true 18/06/08 10:39:43 INFO namenode.FSNamesystem: Append Enabled: true 18/06/08 10:39:43 INFO util.GSet: Computing capacity for map INodeMap 18/06/08 10:39:43 INFO util.GSet: VM type = 64-bit 18/06/08 10:39:43 INFO util.GSet: 1.0% max memory 889 MB = 8.9 MB 18/06/08 10:39:43 INFO util.GSet: capacity = 2^20 = 1048576 entries 18/06/08 10:39:43 INFO namenode.FSDirectory: ACLs enabled? false 18/06/08 10:39:43 INFO namenode.FSDirectory: XAttrs enabled? true 18/06/08 10:39:43 INFO namenode.FSDirectory: Maximum size of an xattr: 16384 18/06/08 10:39:43 INFO namenode.NameNode: Caching file names occuring more than 10 times 18/06/08 10:39:43 INFO util.GSet: Computing capacity for map cachedBlocks 18/06/08 10:39:43 INFO util.GSet: VM type = 64-bit 18/06/08 10:39:43 INFO util.GSet: 0.25% max memory 889 MB = 2.2 MB 18/06/08 10:39:43 INFO util.GSet: capacity = 2^18 = 262144 entries 18/06/08 10:39:43 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033 18/06/08 10:39:43 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0 18/06/08 10:39:43 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension = 30000 18/06/08 10:39:43 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.window.num.buckets = 10 18/06/08 10:39:43 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.num.users = 10 18/06/08 10:39:43 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.windows.minutes = 1,5,25 18/06/08 10:39:43 INFO namenode.FSNamesystem: Retry cache on namenode is enabled 18/06/08 10:39:43 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis 18/06/08 10:39:43 INFO util.GSet: Computing capacity for map NameNodeRetryCache 18/06/08 10:39:43 INFO util.GSet: VM type = 64-bit 18/06/08 10:39:43 INFO util.GSet: 0.029999999329447746% max memory 889 MB = 273.1 KB 18/06/08 10:39:43 INFO util.GSet: capacity = 2^15 = 32768 entries 18/06/08 10:39:44 INFO namenode.FSImage: Allocated new BlockPoolId: BP-455103259-172.16.30.101-1528479584722 18/06/08 10:39:44 INFO common.Storage: Storage directory /home/yinzhengjie/ha/dfs/name1 has been successfully formatted. 18/06/08 10:39:44 INFO common.Storage: Storage directory /home/yinzhengjie/ha/dfs/name2 has been successfully formatted. 18/06/08 10:39:44 INFO namenode.FSImageFormatProtobuf: Saving image file /home/yinzhengjie/ha/dfs/name1/current/fsimage.ckpt_0000000000000000000 using no compression 18/06/08 10:39:44 INFO namenode.FSImageFormatProtobuf: Saving image file /home/yinzhengjie/ha/dfs/name2/current/fsimage.ckpt_0000000000000000000 using no compression 18/06/08 10:39:44 INFO namenode.FSImageFormatProtobuf: Image file /home/yinzhengjie/ha/dfs/name1/current/fsimage.ckpt_0000000000000000000 of size 358 bytes saved in 0 seconds. 18/06/08 10:39:44 INFO namenode.FSImageFormatProtobuf: Image file /home/yinzhengjie/ha/dfs/name2/current/fsimage.ckpt_0000000000000000000 of size 358 bytes saved in 0 seconds. 18/06/08 10:39:45 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0 18/06/08 10:39:45 INFO util.ExitUtil: Exiting with status 0 18/06/08 10:39:45 INFO namenode.NameNode: SHUTDOWN_MSG: /************************************************************ SHUTDOWN_MSG: Shutting down NameNode at s101/172.16.30.101 ************************************************************/ [yinzhengjie@s101 ~]$ echo $? 0 [yinzhengjie@s101 ~]$ [yinzhengjie@s101 ~]$ hdfs namenode -format3>.將s101中的工作目錄同步到s105
?
[yinzhengjie@s101 ~]$ scp -r /home/yinzhengjie/ha yinzhengjie@s105:~ VERSION 100% 205 0.2KB/s 00:00 seen_txid 100% 2 0.0KB/s 00:00 fsimage_0000000000000000000.md5 100% 62 0.1KB/s 00:00 fsimage_0000000000000000000 100% 358 0.4KB/s 00:00 VERSION 100% 205 0.2KB/s 00:00 seen_txid 100% 2 0.0KB/s 00:00 fsimage_0000000000000000000.md5 100% 62 0.1KB/s 00:00 fsimage_0000000000000000000 100% 358 0.4KB/s 00:00 [yinzhengjie@s101 ~]$4>.啟動hdfs進程
[yinzhengjie@s101 ~]$ start-dfs.sh Starting namenodes on [s101 s105] s105: starting namenode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-namenode-s105.out s101: starting namenode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-namenode-s101.out s104: starting datanode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-datanode-s104.out s103: starting datanode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-datanode-s103.out s102: starting datanode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-datanode-s102.out Starting journal nodes [s102 s103 s104] s102: journalnode running as process 2490. Stop it first. s104: journalnode running as process 2532. Stop it first. s103: journalnode running as process 2539. Stop it first. [yinzhengjie@s101 ~]$ xcall.sh jps ============= s101 jps ============ 3377 Jps 3117 NameNode 命令執行成功 ============= s102 jps ============ 2649 DataNode 2490 JournalNode 2764 Jps 命令執行成功 ============= s103 jps ============ 2539 JournalNode 2700 DataNode 2815 Jps 命令執行成功 ============= s104 jps ============ 2532 JournalNode 2693 DataNode 2809 Jps 命令執行成功 ============= s105 jps ============ 3171 NameNode 3254 Jps 命令執行成功 [yinzhengjie@s101 ~]$5>.手動將s101轉換成激活狀態
[yinzhengjie@s101 ~]$ hdfs haadmin -transitionToActive nn1 //手動將s101轉換成激活狀態 [yinzhengjie@s101 ~]$
配置到這里基本上高可用就配置好了，但是美中不足的是需要字節手動切換NameNode模式，這就比較麻煩了。索性的是：Hadoop生態圈有專門維護的工具叫做zookeeper工具，我們可以用該工具對集群繼續管理就相當方便啦！詳情請參考：https://www.cnblogs.com/yinzhengjie/p/9154265.html
轉載于:https://www.cnblogs.com/yinzhengjie/p/9070017.html
總結
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