# Hadoop 安装和配置 ## Hadoop 说明 - Hadoop 官网： - Hadoop 官网下载： ## 基础环境 - 学习机器 2C4G（生产最少 8G）： - 172.16.0.17 - 172.16.0.43 - 172.16.0.180 - 操作系统：CentOS 7.5 - root 用户 - 所有机子必备：Java：1.8 - 确保：`echo $JAVA_HOME` 能查看到路径，并记下来路径 - Hadoop:2.6.5 - 关闭所有机子的防火墙：`systemctl stop firewalld.service` ## 集群环境设置 - Hadoop 集群具体来说包含两个集群：HDFS 集群和 YARN 集群，两者逻辑上分离，但物理上常在一起 - HDFS 集群：负责海量数据的存储，集群中的角色主要有 NameNode / DataNode - YARN 集群：负责海量数据运算时的资源调度，集群中的角色主要有 ResourceManager /NodeManager - HDFS 采用 master/worker 架构。一个 HDFS 集群是由一个 Namenode 和一定数目的 Datanodes 组成。Namenode 是一个中心服务器，负责管理文件系统的命名空间 (namespace) 以及客户端对文件的访问。集群中的 Datanode 一般是一个节点一个，负责管理它所在节点上的存储。 - 分别给三台机子设置 hostname ``` hostnamectl --static set-hostname linux01 hostnamectl --static set-hostname linux02 hostnamectl --static set-hostname linux03 ``` - 修改 hosts ``` 就按这个来，其他多余的别加，不然可能也会有影响 vim /etc/hosts 172.16.0.17 linux01 172.16.0.43 linux02 172.16.0.180 linux03 ``` - 对 linux01 设置免密： ``` 生产密钥对 ssh-keygen -t rsa 公钥内容写入 authorized_keys cat /root/.ssh/id_rsa.pub >> /root/.ssh/authorized_keys 测试： ssh localhost ``` - 将公钥复制到两台 slave - 如果你是采用 pem 登录的，可以看这个：[SSH 免密登录](SSH-login-without-password.md) ``` ssh-copy-id -i ~/.ssh/id_rsa.pub -p 22 root@172.16.0.43，根据提示输入 linux02 机器的 root 密码，成功会有相应提示 ssh-copy-id -i ~/.ssh/id_rsa.pub -p 22 root@172.16.0.180，根据提示输入 linux03 机器的 root 密码，成功会有相应提示 在 linux01 上测试： ssh linux02 ssh linux03 ``` ## Hadoop 安装 - 关于版本这件事，主要看你的技术生态圈。如果你的其他技术，比如 Spark，Flink 等不支持最新版，则就只能向下考虑。 - 我这里技术栈，目前只能到：2.6.5，所以下面的内容都是基于 2.6.5 版本 - 官网说明： - 分别在三台机子上都创建目录： ``` mkdir -p /data/hadoop/hdfs/name /data/hadoop/hdfs/data /data/hadoop/hdfs/tmp ``` - 下载 Hadoop： - 现在 linux01 机子上安装 ``` cd /usr/local && wget http://apache.claz.org/hadoop/common/hadoop-2.6.5/hadoop-2.6.5.tar.gz tar zxvf hadoop-2.6.5.tar.gz，有 191M 左右 ``` - **给三台机子都先设置 HADOOP_HOME** - 会 ansible playbook 会方便点：[Ansible 安装和配置](Ansible-Install-And-Settings.md) ``` vim /etc/profile export HADOOP_HOME=/usr/local/hadoop-2.6.5 export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin source /etc/profile ``` ## 修改 linux01 配置 ``` 修改 JAVA_HOME vim $HADOOP_HOME/etc/hadoop/hadoop-env.sh 把 25 行的 export JAVA_HOME=${JAVA_HOME} 都改为 export JAVA_HOME=/usr/local/jdk1.8.0_191 vim $HADOOP_HOME/etc/hadoop/yarn-env.sh 文件开头加一行 export JAVA_HOME=/usr/local/jdk1.8.0_191 ``` - hadoop.tmp.dir == 指定hadoop运行时产生文件的存储目录 ``` vim $HADOOP_HOME/etc/hadoop/core-site.xml，改为： hadoop.tmp.dir file:/data/hadoop/hdfs/tmp io.file.buffer.size 131072 fs.defaultFS hdfs://linux01:9000 hadoop.proxyuser.root.hosts * hadoop.proxyuser.root.groups * ``` - 配置包括副本数量 - 最大值是 datanode 的个数 - 数据存放目录 ``` vim $HADOOP_HOME/etc/hadoop/hdfs-site.xml dfs.replication 2 dfs.namenode.name.dir file:/data/hadoop/hdfs/name true dfs.datanode.data.dir file:/data/hadoop/hdfs/data true dfs.webhdfs.enabled true dfs.permissions false ``` - 设置 YARN ``` 新创建：vim $HADOOP_HOME/etc/hadoop/mapred-site.xml mapreduce.framework.name yarn mapreduce.map.memory.mb 4096 mapreduce.reduce.memory.mb 8192 mapreduce.map.java.opts -Xmx3072m mapreduce.reduce.java.opts -Xmx6144m ``` - yarn.resourcemanager.hostname == 指定YARN的老大（ResourceManager）的地址 - yarn.nodemanager.aux-services == NodeManager上运行的附属服务。需配置成mapreduce_shuffle，才可运行MapReduce程序默认值："" - 32G 内存的情况下配置： ``` vim $HADOOP_HOME/etc/hadoop/yarn-site.xml yarn.resourcemanager.hostname linux01 yarn.nodemanager.aux-services mapreduce_shuffle yarn.nodemanager.vmem-pmem-ratio 2.1 yarn.nodemanager.resource.memory-mb 20480 yarn.scheduler.minimum-allocation-mb 2048 ``` - 配置 slave 相关信息 ``` vim $HADOOP_HOME/etc/hadoop/slaves 把默认的配置里面的 localhost 删除，换成： linux02 linux03 ``` ``` scp -r /usr/local/hadoop-2.6.5 root@linux02:/usr/local/ scp -r /usr/local/hadoop-2.6.5 root@linux03:/usr/local/ ``` ## linux01 机子运行 ``` 格式化 HDFS hdfs namenode -format ``` - 输出结果： ``` [root@linux01 hadoop-2.6.5]# hdfs namenode -format 18/12/17 17:47:17 INFO namenode.NameNode: STARTUP_MSG: /************************************************************ STARTUP_MSG: Starting NameNode STARTUP_MSG: host = localhost/127.0.0.1 STARTUP_MSG: args = [-format] STARTUP_MSG: version = 2.6.5 STARTUP_MSG: classpath = /usr/local/hadoop-2.6.5/etc/hadoop:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/apacheds-kerberos-codec-2.0.0-M15.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-io-2.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/activation-1.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/netty-3.6.2.Final.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/slf4j-api-1.7.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/junit-4.11.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/curator-recipes-2.6.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jasper-compiler-5.5.23.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jets3t-0.9.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-lang-2.6.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-digester-1.8.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/apacheds-i18n-2.0.0-M15.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/guava-11.0.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/gson-2.2.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jackson-jaxrs-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jettison-1.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jetty-6.1.26.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/api-util-1.0.0-M20.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/log4j-1.2.17.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-httpclient-3.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-el-1.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/paranamer-2.3.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-collections-3.2.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jersey-server-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-net-3.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/hadoop-auth-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/hamcrest-core-1.3.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/stax-api-1.0-2.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/curator-framework-2.6.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/xz-1.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jsr305-1.3.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jsp-api-2.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-compress-1.4.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/asm-3.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jsch-0.1.42.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-configuration-1.6.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-cli-1.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jackson-xc-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-logging-1.1.3.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/htrace-core-3.0.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jetty-util-6.1.26.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-math3-3.1.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/mockito-all-1.8.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jersey-json-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/zookeeper-3.4.6.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/httpclient-4.2.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/servlet-api-2.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/xmlenc-0.52.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/httpcore-4.2.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/api-asn1-api-1.0.0-M20.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/avro-1.7.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-codec-1.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jersey-core-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/curator-client-2.6.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/hadoop-annotations-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/hadoop-common-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/hadoop-common-2.6.5-tests.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/hadoop-nfs-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/commons-io-2.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/guava-11.0.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/commons-el-1.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/xercesImpl-2.9.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jsr305-1.3.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/xml-apis-1.3.04.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jsp-api-2.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/asm-3.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/htrace-core-3.0.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/hadoop-hdfs-2.6.5-tests.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/hadoop-hdfs-nfs-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/hadoop-hdfs-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/commons-io-2.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/activation-1.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/aopalliance-1.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/commons-lang-2.6.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/guice-3.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/guava-11.0.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jackson-jaxrs-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jettison-1.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jetty-6.1.26.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/log4j-1.2.17.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/commons-httpclient-3.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/commons-collections-3.2.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jersey-server-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/stax-api-1.0-2.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/xz-1.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jsr305-1.3.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jersey-client-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/asm-3.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/commons-cli-1.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jackson-xc-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/commons-logging-1.1.3.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jersey-json-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/javax.inject-1.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/zookeeper-3.4.6.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/servlet-api-2.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jaxb-api-2.2.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jline-0.9.94.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/commons-codec-1.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jersey-core-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-api-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-server-common-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-registry-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-client-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-common-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-server-tests-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/commons-io-2.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/junit-4.11.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/guice-3.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/hamcrest-core-1.3.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/xz-1.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/asm-3.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/leveldbjni-all-1.8.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/javax.inject-1.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/hadoop-annotations-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.6.5-tests.jar:/usr/local/hadoop-2.6.5/contrib/capacity-scheduler/*.jar STARTUP_MSG: build = https://github.com/apache/hadoop.git -r e8c9fe0b4c252caf2ebf1464220599650f119997; compiled by 'sjlee' on 2016-10-02T23:43Z STARTUP_MSG: java = 1.8.0_191 ************************************************************/ 18/12/17 17:47:17 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT] 18/12/17 17:47:17 INFO namenode.NameNode: createNameNode [-format] Formatting using clusterid: CID-beba43b4-0881-48b4-8eda-5c3bca046398 18/12/17 17:47:17 INFO namenode.FSNamesystem: No KeyProvider found. 18/12/17 17:47:17 INFO namenode.FSNamesystem: fsLock is fair:true 18/12/17 17:47:17 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000 18/12/17 17:47:17 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true 18/12/17 17:47:17 INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to 000:00:00:00.000 18/12/17 17:47:17 INFO blockmanagement.BlockManager: The block deletion will start around 2018 Dec 17 17:47:17 18/12/17 17:47:17 INFO util.GSet: Computing capacity for map BlocksMap 18/12/17 17:47:17 INFO util.GSet: VM type = 64-bit 18/12/17 17:47:17 INFO util.GSet: 2.0% max memory 889 MB = 17.8 MB 18/12/17 17:47:17 INFO util.GSet: capacity = 2^21 = 2097152 entries 18/12/17 17:47:17 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false 18/12/17 17:47:17 INFO blockmanagement.BlockManager: defaultReplication = 2 18/12/17 17:47:17 INFO blockmanagement.BlockManager: maxReplication = 512 18/12/17 17:47:17 INFO blockmanagement.BlockManager: minReplication = 1 18/12/17 17:47:17 INFO blockmanagement.BlockManager: maxReplicationStreams = 2 18/12/17 17:47:17 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000 18/12/17 17:47:17 INFO blockmanagement.BlockManager: encryptDataTransfer = false 18/12/17 17:47:17 INFO blockmanagement.BlockManager: maxNumBlocksToLog = 1000 18/12/17 17:47:17 INFO namenode.FSNamesystem: fsOwner = root (auth:SIMPLE) 18/12/17 17:47:17 INFO namenode.FSNamesystem: supergroup = supergroup 18/12/17 17:47:17 INFO namenode.FSNamesystem: isPermissionEnabled = false 18/12/17 17:47:17 INFO namenode.FSNamesystem: HA Enabled: false 18/12/17 17:47:17 INFO namenode.FSNamesystem: Append Enabled: true 18/12/17 17:47:17 INFO util.GSet: Computing capacity for map INodeMap 18/12/17 17:47:17 INFO util.GSet: VM type = 64-bit 18/12/17 17:47:17 INFO util.GSet: 1.0% max memory 889 MB = 8.9 MB 18/12/17 17:47:17 INFO util.GSet: capacity = 2^20 = 1048576 entries 18/12/17 17:47:17 INFO namenode.NameNode: Caching file names occuring more than 10 times 18/12/17 17:47:17 INFO util.GSet: Computing capacity for map cachedBlocks 18/12/17 17:47:17 INFO util.GSet: VM type = 64-bit 18/12/17 17:47:17 INFO util.GSet: 0.25% max memory 889 MB = 2.2 MB 18/12/17 17:47:17 INFO util.GSet: capacity = 2^18 = 262144 entries 18/12/17 17:47:17 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033 18/12/17 17:47:17 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0 18/12/17 17:47:17 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension = 30000 18/12/17 17:47:17 INFO namenode.FSNamesystem: Retry cache on namenode is enabled 18/12/17 17:47:17 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis 18/12/17 17:47:17 INFO util.GSet: Computing capacity for map NameNodeRetryCache 18/12/17 17:47:17 INFO util.GSet: VM type = 64-bit 18/12/17 17:47:17 INFO util.GSet: 0.029999999329447746% max memory 889 MB = 273.1 KB 18/12/17 17:47:17 INFO util.GSet: capacity = 2^15 = 32768 entries 18/12/17 17:47:17 INFO namenode.NNConf: ACLs enabled? false 18/12/17 17:47:17 INFO namenode.NNConf: XAttrs enabled? true 18/12/17 17:47:17 INFO namenode.NNConf: Maximum size of an xattr: 16384 18/12/17 17:47:17 INFO namenode.FSImage: Allocated new BlockPoolId: BP-233285725-127.0.0.1-1545040037972 18/12/17 17:47:18 INFO common.Storage: Storage directory /data/hadoop/hdfs/name has been successfully formatted. 18/12/17 17:47:18 INFO namenode.FSImageFormatProtobuf: Saving image file /data/hadoop/hdfs/name/current/fsimage.ckpt_0000000000000000000 using no compression 18/12/17 17:47:18 INFO namenode.FSImageFormatProtobuf: Image file /data/hadoop/hdfs/name/current/fsimage.ckpt_0000000000000000000 of size 321 bytes saved in 0 seconds. 18/12/17 17:47:18 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0 18/12/17 17:47:18 INFO util.ExitUtil: Exiting with status 0 18/12/17 17:47:18 INFO namenode.NameNode: SHUTDOWN_MSG: /************************************************************ SHUTDOWN_MSG: Shutting down NameNode at localhost/127.0.0.1 ************************************************************/ ``` ## HDFS 启动 - 启动：start-dfs.sh，根据提示一路 yes ``` 这个命令效果： 主节点会启动任务：NameNode 和 SecondaryNameNode 从节点会启动任务：DataNode 主节点查看：jps，可以看到： 21922 Jps 21603 NameNode 21787 SecondaryNameNode 从节点查看：jps 可以看到： 19728 DataNode 19819 Jps ``` - 查看运行更多情况：`hdfs dfsadmin -report` ``` Configured Capacity: 0 (0 B) Present Capacity: 0 (0 B) DFS Remaining: 0 (0 B) DFS Used: 0 (0 B) DFS Used%: NaN% Under replicated blocks: 0 Blocks with corrupt replicas: 0 Missing blocks: 0 ``` - 如果需要停止：`stop-dfs.sh` - 查看 log：`cd $HADOOP_HOME/logs` ## YARN 运行 ``` start-yarn.sh 然后 jps 你会看到一个：ResourceManager 从节点你会看到：NodeManager 停止：stop-yarn.sh ``` ## 端口情况 - 主节点当前运行的所有端口：`netstat -tpnl | grep java` - 会用到端口（为了方便展示，整理下顺序）： ``` tcp 0 0 172.16.0.17:9000 0.0.0.0:* LISTEN 22932/java >> NameNode tcp 0 0 0.0.0.0:50070 0.0.0.0:* LISTEN 22932/java >> NameNode tcp 0 0 0.0.0.0:50090 0.0.0.0:* LISTEN 23125/java >> SecondaryNameNode tcp6 0 0 172.16.0.17:8030 :::* LISTEN 23462/java >> ResourceManager tcp6 0 0 172.16.0.17:8031 :::* LISTEN 23462/java >> ResourceManager tcp6 0 0 172.16.0.17:8032 :::* LISTEN 23462/java >> ResourceManager tcp6 0 0 172.16.0.17:8033 :::* LISTEN 23462/java >> ResourceManager tcp6 0 0 172.16.0.17:8088 :::* LISTEN 23462/java >> ResourceManager ``` - 从节点当前运行的所有端口：`netstat -tpnl | grep java` - 会用到端口（为了方便展示，整理下顺序）： ``` tcp 0 0 0.0.0.0:50010 0.0.0.0:* LISTEN 14545/java >> DataNode tcp 0 0 0.0.0.0:50020 0.0.0.0:* LISTEN 14545/java >> DataNode tcp 0 0 0.0.0.0:50075 0.0.0.0:* LISTEN 14545/java >> DataNode tcp6 0 0 :::8040 :::* LISTEN 14698/java >> NodeManager tcp6 0 0 :::8042 :::* LISTEN 14698/java >> NodeManager tcp6 0 0 :::13562 :::* LISTEN 14698/java >> NodeManager tcp6 0 0 :::37481 :::* LISTEN 14698/java >> NodeManager ``` ------------------------------------------------------------------- ## 管理界面 - 查看 HDFS NameNode 管理界面： - 访问 YARN ResourceManager 管理界面： - 访问 NodeManager-1 管理界面： - 访问 NodeManager-2 管理界面： ------------------------------------------------------------------- ## 运行作业 - 在主节点上操作 - 运行一个 Mapreduce 作业试试： - 计算 π：`hadoop jar $HADOOP_HOME/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.5.jar pi 5 10` - 运行一个文件相关作业： - 由于运行 hadoop 时指定的输入文件只能是 HDFS 文件系统中的文件，所以我们必须将要进行 wordcount 的文件从本地文件系统拷贝到 HDFS 文件系统中。 - 查看目前根目录结构：`hadoop fs -ls /` - 查看目前根目录结构，另外写法：`hadoop fs -ls hdfs://linux-05:9000/` - 或者列出目录以及下面的文件：`hadoop fs -ls -R /` - 更多命令可以看：[hadoop HDFS常用文件操作命令](https://segmentfault.com/a/1190000002672666) - 创建目录：`hadoop fs -mkdir -p /tmp/zch/wordcount_input_dir` - 上传文件：`hadoop fs -put /opt/input.txt /tmp/zch/wordcount_input_dir` - 查看上传的目录下是否有文件：`hadoop fs -ls /tmp/zch/wordcount_input_dir` - 向 yarn 提交作业，计算单词个数：`hadoop jar $HADOOP_HOME/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.5.jar wordcount /tmp/zch/wordcount_input_dir /tmp/zch/wordcount_output_dir` - 查看计算结果输出的目录：`hadoop fs -ls /tmp/zch/wordcount_output_dir` - 查看计算结果输出内容：`hadoop fs -cat /tmp/zch/wordcount_output_dir/part-r-00000` - 查看正在运行的 Hadoop 任务：`yarn application -list` - 关闭 Hadoop 任务进程：`yarn application -kill 你的ApplicationId` ------------------------------------------------------------------- ## 资料 - [如何正确的为 MapReduce 配置内存分配](http://loupipalien.com/2018/03/how-to-properly-configure-the-memory-allocations-for-mapreduce/) - - - -