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【大数据】Hadoop-HA-Federation-3.3.1集群高可用联邦安装部署文档（建议收藏哦）

news 2025/6/23 23:03:17

背景概述

单 NameNode 的架构使得 HDFS 在集群扩展性和性能上都有潜在的问题，当集群大到一定程度后，NameNode 进程使用的内存可能会达到上百 G，NameNode 成为了性能的瓶颈。因而提出了 namenode 水平扩展方案-- Federation。

Federation 中文意思为联邦,联盟，是 NameNode 的 Federation,也就是会有多个NameNode。多个 NameNode 的情况意味着有多个 namespace(命名空间)，区别于 HA 模式下的多 NameNode，它们是拥有着同一个 namespace。
在这里插入图片描述
从上图中,我们可以很明显地看出现有的 HDFS 数据管理,数据存储 2 层分层的结构.也就是说,所有关于存储数据的信息和管理是放在 NameNode 这边,而真实数据的存储则是在各个 DataNode 下。而这些隶属于同一个 NameNode 所管理的数据都是在同一个命名空间下的。而一个 namespace 对应一个 block pool。Block Pool 是同一个 namespace 下的 block 的集合.当然这是我们最常见的单个 namespace 的情况,也就是一个 NameNode 管理集群中所有元数据信息的时候.如果我们遇到了之前提到的 NameNode 内存使用过高的问题,这时候怎么办?元数据空间依然还是在不断增大,一味调高 NameNode 的 jvm 大小绝对不是一个持久的办法.这时候就诞生了 HDFS Federation 的机制.

Federation 架构设计

HDFS Federation 是解决 namenode 内存瓶颈问题的水平横向扩展方案。

Federation 意味着在集群中将会有多个 namenode/namespace。这些 namenode 之间是联合的，也就是说，他们之间相互独立且不需要互相协调，各自分工，管理自己的区域。分布式的 datanode 被用作通用的数据块存储存储设备。每个 datanode 要向集群中所有的namenode 注册，且周期性地向所有 namenode 发送心跳和块报告，并执行来自所有 namenode的命令。
　　在这里插入图片描述
Federation 一个典型的例子就是上面提到的 NameNode 内存过高问题,我们完全可以将上面部分大的文件目录移到另外一个NameNode上做管理. 更重要的一点在于, 这些 NameNode是共享集群中所有的 e DataNode 的 , 它们还是在同一个集群内的 。

这时候在DataNode上就不仅仅存储一个Block Pool下的数据了,而是多个(在DataNode的 datadir 所在目录里面查看 BP-xx.xx.xx.xx 打头的目录)。

多个 NN 共用一个集群里的存储资源，每个 NN 都可以单独对外提供服务。

每个 NN 都会定义一个存储池，有单独的 id，每个 DN 都为所有存储池提供存储。

DN 会按照存储池 id 向其对应的 NN 汇报块信息，同时，DN 会向所有 NN 汇报本地存储可用资源情况。
　　　　在这里插入图片描述

集群部署搭建

主机规划

公共组件

zk: 192.168.1.31:2181,192.168.1.32:2181,192.168.1.33:2181
mysql: 192.168.1.32

HDFS-federation 规划
clusterhostnameip机型组件
cluster-ahadoop-31192.168.1.31armNameNode/DataNode/JournalNode/DFSZKFailoverController/DFSRouter
hadoop-32192.168.1.32NameNode/DataNode/JournalNode/DFSZKFailoverController/DFSRouter
hadoop-33192.168.1.33DataNode/JournalNode
cluster-bspark-34192.168.1.34NameNode/DataNode/JournalNode/DFSZKFailoverController/DFSRouter
spark-35192.168.1.35NameNode/DataNode/JournalNode/DFSZKFailoverController/DFSRouter
spark-36192.168.1.36DataNode/JournalNode
YARN-federation 规划
clusterhostnameip机型组件
cluster-ahadoop-31192.168.1.31armResourceManager/NodeManager/Router/ApplicationHistoryServer/JobHistoryServer/WebAppProxyServer
hadoop-32192.168.1.32ResourceManager/NodeManager
hadoop-33192.168.1.33NodeManager
spark-34192.168.1.34NodeManager
cluster-bspark-35192.168.1.35ResourceManager/NodeManager/Router/ApplicationHistoryServer/JobHistoryServer/WebAppProxyServer
spark-36192.168.1.36ResourceManager/NodeManager

环境变量配置

hadoop-env.sh 配置

export HADOOP_GC_DIR="/data/apps/hadoop-3.3.1/logs/gc"
if [ ! -d "${HADOOP_GC_DIR}" ];thenmkdir -p ${HADOOP_GC_DIR}
fi
export HADOOP_NAMENODE_JMX_OPTS="-Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.local.only=false -Dcom.sun.management.jmxremote.port=1234 -javaagent:/data/apps/hadoop-3.3.1/share/hadoop/jmx_prometheus_javaagent-0.17.2.jar=9211:/data/apps/hadoop-3.3.1/etc/hadoop/namenode.yaml"export HADOOP_DATANODE_JMX_OPTS="-Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.local.only=false -Dcom.sun.management.jmxremote.port=1244 -javaagent:/data/apps/hadoop-3.3.1/share/hadoop/jmx_prometheus_javaagent-0.17.2.jar=9212:/data/apps/hadoop-3.3.1/etc/hadoop/namenode.yaml"export HADOOP_ROOT_LOGGER=INFO,console,RFA
export SERVER_GC_OPTS="-XX:+UnlockExperimentalVMOptions -XX:+UseG1GC -verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=10 -XX:GCLogFileSize=512M -XX:ErrorFile=/data/apps/hadoop-3.3.1/logs/hs_err_pid%p.log -XX:+PrintAdaptiveSizePolicy -XX:+PrintFlagsFinal -XX:MaxGCPauseMillis=100 -XX:+UnlockExperimentalVMOptions -XX:+ParallelRefProcEnabled -XX:ConcGCThreads=6 -XX:ParallelGCThreads=16 -XX:G1NewSizePercent=5 -XX:G1MaxNewSizePercent=60 -XX:MaxTenuringThreshold=1 -XX:G1HeapRegionSize=32m -XX:G1MixedGCCountTarget=8 -XX:InitiatingHeapOccupancyPercent=65 -XX:G1OldCSetRegionThresholdPercent=5"
export HDFS_NAMENODE_OPTS="-Xms4g -Xmx4g ${SERVER_GC_OPTS} -Xloggc:${HADOOP_GC_DIR}/namenode-gc-`date +'%Y%m%d%H%M'` ${HADOOP_NAMENODE_JMX_OPTS}"
export HDFS_DATANODE_OPTS="-Xms4g -Xmx4g ${SERVER_GC_OPTS} -Xloggc:${HADOOP_GC_DIR}/datanode-gc-`date +'%Y%m%d%H%M'` ${HADOOP_DATANODE_JMX_OPTS}"
export HDFS_ZKFC_OPTS="-Xms1g -Xmx1g ${SERVER_GC_OPTS} -Xloggc:${HADOOP_GC_DIR}/zkfc-gc-`date +'%Y%m%d%H%M'`"
export HDFS_DFSROUTER_OPTS="-Xms1g -Xmx1g ${SERVER_GC_OPTS} -Xloggc:${HADOOP_GC_DIR}/router-gc-`date +'%Y%m%d%H%M'`"
export HDFS_JOURNALNODE_OPTS="-Xms1g -Xmx1g ${SERVER_GC_OPTS} -Xloggc:${HADOOP_GC_DIR}/journalnode-gc-`date +'%Y%m%d%H%M'`"
export HADOOP_CONF_DIR=/data/apps/hadoop-3.3.1/etc/hadoop

yarn-env.sh 配置

export YARN_RESOURCEMANAGER_OPTS="$YARN_RESOURCEMANAGER_OPTS -Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.local.only=false -Dcom.sun.management.jmxremote.port=2111 -javaagent:/data/apps/hadoop-3.3.1/share/hadoop/jmx_prometheus_javaagent-0.17.2.jar=9323:/data/apps/hadoop-3.3.1/etc/hadoop/yarn-rm.yaml"
export YARN_NODEMANAGER_OPTS="${YARN_NODEMANAGER_OPTS} -Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.local.only=false -Dcom.sun.management.jmxremote.port=2112 -javaagent:/data/apps/hadoop-3.3.1/share/hadoop/jmx_prometheus_javaagent-0.17.2.jar=9324:/data/apps/hadoop-3.3.1/etc/hadoop/yarn-nm.yaml"
export YARN_ROUTER_OPTS="${YARN_ROUTER_OPTS}"

配置文件配置

HDFS的配置

cluster-a

core-site.xml

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration><property><name>fs.defaultFS</name><value>hdfs://cluster-a</value></property><property><name>ha.zookeeper.quorum</name><value>192.168.1.31:2181,192.168.1.32:2181,192.168.1.33:2181</value></property><property><name>hadoop.zk.address</name><value>192.168.1.31:2181,192.168.1.32:2181,192.168.1.33:2181</value></property><property><name>ha.zookeeper.parent-znode</name><value>/hadoop-ha-cluster-a</value></property><property><name>fs.trash.interval</name><value>360</value></property><property><name>fs.trash.checkpoint.interval</name><value>0</value></property><property><name>hadoop.proxyuser.hduser.hosts</name><value>*</value></property><property><name>hadoop.proxyuser.hduser.groups</name><value>*</value></property><property><name>hadoop.proxyuser.root.hosts</name><value>*</value></property><property><name>hadoop.proxyuser.root.groups</name><value>*</value></property><property><name>hadoop.tmp.dir</name><value>/data/apps/hadoop-3.3.1/data</value></property><!--安全认证初始化的类--><property><name>hadoop.http.filter.initializers</name><value>org.apache.hadoop.security.HttpCrossOriginFilterInitializer</value></property><!--是否启用跨域支持--><property><name>hadoop.http.cross-origin.enabled</name><value>true</value></property><property><name>hadoop.http.cross-origin.allowed-origins</name><value>*</value></property><property><name>hadoop.http.cross-origin.allowed-methods</name><value>GET, PUT, POST, OPTIONS, HEAD, DELETE</value></property><property><name>hadoop.http.cross-origin.allowed-headers</name><value>X-Requested-With, Content-Type, Accept, Origin, WWW-Authenticate, Accept-Encoding, Transfer-Encoding</value></property><property><name>hadoop.http.cross-origin.max-age</name><value>1800</value></property><property><name>hadoop.http.authentication.simple.anonymous.allowed</name><value>true</value></property><property><name>hadoop.http.authentication.type</name><value>simple</value></property><property><name>hadoop.security.authorization</name><value>false</value></property><property><name>io.file.buffer.size</name><value>131072</value></property><property><name>io.compression.codecs</name><value>org.apache.hadoop.io.compress.GzipCodec,org.apache.hadoop.io.compress.DefaultCodec,org.apache.hadoop.io.compress.SnappyCodec</value></property><property><name>io.serializations</name><value>org.apache.hadoop.io.serializer.WritableSerialization</value></property><property><name>ipc.client.connect.max.retries</name><value>50</value></property><property><name>ipc.client.connection.maxidletime</name><value>30000</value></property><property><name>ipc.client.idlethreshold</name><value>8000</value></property><property><name>ipc.server.tcpnodelay</name><value>true</value></property>
</configuration>

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>2</value></property><property><name>dfs.nameservices</name><value>cluster-a,cluster-b</value></property><property><name>dfs.ha.namenodes.cluster-a</name><value>nn1,nn2</value></property><property><name>dfs.ha.namenodes.cluster-b</name><value>nn1,nn2</value></property><property><name>dfs.namenode.rpc-address.cluster-a.nn1</name><value>192.168.1.31:8020</value></property><property><name>dfs.namenode.rpc-address.cluster-a.nn2</name><value>192.168.1.32:8020</value></property><property><name>dfs.namenode.http-address.cluster-a.nn1</name><value>192.168.1.31:9870</value></property><property><name>dfs.namenode.http-address.cluster-a.nn2</name><value>192.168.1.32:9870</value></property><property><name>dfs.namenode.rpc-address.cluster-b.nn1</name><value>192.168.1.34:8020</value></property><property><name>dfs.namenode.rpc-address.cluster-b.nn2</name><value>192.168.1.35:8020</value></property><property><name>dfs.namenode.http-address.cluster-b.nn1</name><value>192.168.1.34:9870</value></property><property><name>dfs.namenode.http-address.cluster-b.nn2</name><value>192.168.1.35:9870</value></property><property><name>dfs.namenode.name.dir</name><value>/data/apps/hadoop-3.3.1/data/namenode</value></property><property><name>dfs.datanode.data.dir</name><value>/data/apps/hadoop-3.3.1/data/datanode</value></property><property><name>dfs.journalnode.edits.dir</name><value>/data/apps/hadoop-3.3.1/data/journal</value></property><property><name>dfs.namenode.shared.edits.dir</name><value>qjournal://192.168.1.31:8485;192.168.1.32:8485;192.168.1.33:8485/cluster-a</value></property><property><name>dfs.client.failover.proxy.provider.cluster-a</name><value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value></property><property><name>dfs.client.failover.proxy.provider.cluster-b</name><value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value></property><property><name>dfs.client.failover.random.order</name><value>true</value></property><!-- 开启NameNode失败自动切换 --><property><name>dfs.ha.automatic-failover.enabled</name><value>true</value></property><!-- 配置隔离机制方法--><property><name>dfs.ha.zkfc.port</name><value>8019</value></property><property><name>dfs.ha.fencing.methods</name><value>shell(/bin/true)</value></property><property><name>dfs.ha.nn.not-become-active-in-safemode</name><value>true</value></property><property><name>dfs.permissions</name><value>false</value></property><property><name>fs.checkpoint.period</name><value>3600</value></property><property><name>fs.checkpoint.size</name><value>67108864</value></property><property><name>fs.checkpoint.dir</name><value>/data/apps/hadoop-3.3.1/data/checkpoint</value></property><property><name>dfs.datanode.hostname</name><value>192.168.1.31</value></property><property><name>dfs.namenode.handler.count</name><value>20</value></property><property><name>dfs.datanode.handler.count</name><value>100</value></property><property><name>dfs.datanode.max.transfer.threads</name><value>100</value></property><property><name>dfs.blocksize</name><value>268435456</value></property><property><name>dfs.hosts.exclude</name><value>/data/apps/hadoop-3.3.1/etc/hadoop/exclude-hosts</value></property>
</configuration>
cluster-b

core-site.xml

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration><property><name>fs.defaultFS</name><value>hdfs://cluster-b</value></property><property><name>ha.zookeeper.quorum</name><value>192.168.1.31:2181,192.168.1.32:2181,192.168.1.33:2181</value></property><property><name>hadoop.zk.address</name><value>192.168.1.31:2181,192.168.1.32:2181,192.168.1.33:2181</value></property><property><name>ha.zookeeper.parent-znode</name><value>/hadoop-ha-cluster-b</value></property><property><name>fs.trash.interval</name><value>360</value></property><property><name>fs.trash.checkpoint.interval</name><value>0</value></property><property><name>hadoop.proxyuser.hduser.hosts</name><value>*</value></property><property><name>hadoop.proxyuser.hduser.groups</name><value>*</value></property><property><name>hadoop.proxyuser.root.hosts</name><value>*</value></property><property><name>hadoop.proxyuser.root.groups</name><value>*</value></property><property><name>hadoop.tmp.dir</name><value>/data/apps/hadoop-3.3.1/data</value></property><!--安全认证初始化的类--><property><name>hadoop.http.filter.initializers</name><value>org.apache.hadoop.security.HttpCrossOriginFilterInitializer</value></property><!--是否启用跨域支持--><property><name>hadoop.http.cross-origin.enabled</name><value>true</value></property><property><name>hadoop.http.cross-origin.allowed-origins</name><value>*</value></property><property><name>hadoop.http.cross-origin.allowed-methods</name><value>GET, PUT, POST, OPTIONS, HEAD, DELETE</value></property><property><name>hadoop.http.cross-origin.allowed-headers</name><value>X-Requested-With, Content-Type, Accept, Origin, WWW-Authenticate, Accept-Encoding, Transfer-Encoding</value></property><property><name>hadoop.http.cross-origin.max-age</name><value>1800</value></property><property><name>hadoop.http.authentication.simple.anonymous.allowed</name><value>true</value></property><property><name>hadoop.http.authentication.type</name><value>simple</value></property><property><name>hadoop.security.authorization</name><value>false</value></property><property><name>io.file.buffer.size</name><value>131072</value></property><property><name>io.compression.codecs</name><value>org.apache.hadoop.io.compress.GzipCodec,org.apache.hadoop.io.compress.DefaultCodec,org.apache.hadoop.io.compress.SnappyCodec</value></property><property><name>io.serializations</name><value>org.apache.hadoop.io.serializer.WritableSerialization</value></property><property><name>ipc.client.connect.max.retries</name><value>50</value></property><property><name>ipc.client.connection.maxidletime</name><value>30000</value></property><property><name>ipc.client.idlethreshold</name><value>8000</value></property><property><name>ipc.server.tcpnodelay</name><value>true</value></property>
</configuration>

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>2</value></property><property><name>dfs.nameservices</name><value>cluster-a,cluster-b</value></property><property><name>dfs.ha.namenodes.cluster-a</name><value>nn1,nn2</value></property><property><name>dfs.ha.namenodes.cluster-b</name><value>nn1,nn2</value></property><property><name>dfs.namenode.rpc-address.cluster-a.nn1</name><value>192.168.1.31:8020</value></property><property><name>dfs.namenode.rpc-address.cluster-a.nn2</name><value>192.168.1.32:8020</value></property><property><name>dfs.namenode.http-address.cluster-a.nn1</name><value>192.168.1.31:9870</value></property><property><name>dfs.namenode.http-address.cluster-a.nn2</name><value>192.168.1.32:9870</value></property><property><name>dfs.namenode.rpc-address.cluster-b.nn1</name><value>192.168.1.34:8020</value></property><property><name>dfs.namenode.rpc-address.cluster-b.nn2</name><value>192.168.1.35:8020</value></property><property><name>dfs.namenode.http-address.cluster-b.nn1</name><value>192.168.1.34:9870</value></property><property><name>dfs.namenode.http-address.cluster-b.nn2</name><value>192.168.1.35:9870</value></property><property><name>dfs.namenode.name.dir</name><value>/data/apps/hadoop-3.3.1/data/namenode</value></property><property><name>dfs.datanode.data.dir</name><value>/data/apps/hadoop-3.3.1/data/datanode</value></property><property><name>dfs.journalnode.edits.dir</name><value>/data/apps/hadoop-3.3.1/data/journal</value></property><property><name>dfs.namenode.shared.edits.dir</name><value>qjournal://192.168.1.34:8485;192.168.1.35:8485;192.168.1.36:8485/cluster-b</value></property><property><name>dfs.client.failover.proxy.provider.cluster-a</name><value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value></property><property><name>dfs.client.failover.proxy.provider.cluster-b</name><value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value></property><property><name>dfs.client.failover.random.order</name><value>true</value></property><!-- 开启NameNode失败自动切换 --><property><name>dfs.ha.automatic-failover.enabled</name><value>true</value></property><!-- 配置隔离机制方法--><property><name>dfs.ha.zkfc.port</name><value>8019</value></property><property><name>dfs.ha.fencing.methods</name><value>shell(/bin/true)</value></property><property><name>dfs.ha.fencing.ssh.private-key-files</name><value>/root/.ssh/id_rsa</value></property><property><name>dfs.ha.nn.not-become-active-in-safemode</name><value>true</value></property><property><name>dfs.permissions</name><value>false</value></property><property><name>fs.checkpoint.period</name><value>3600</value></property><property><name>fs.checkpoint.size</name><value>67108864</value></property><property><name>fs.checkpoint.dir</name><value>/data/apps/hadoop-3.3.1/data/checkpoint</value></property><property><name>dfs.datanode.hostname</name><value>192.168.1.34</value></property><property><name>dfs.namenode.handler.count</name><value>20</value></property><property><name>dfs.datanode.handler.count</name><value>100</value></property><property><name>dfs.datanode.max.transfer.threads</name><value>100</value></property><property><name>dfs.blocksize</name><value>268435456</value></property><property><name>dfs.hosts.exclude</name><value>/data/apps/hadoop-3.3.1/etc/hadoop/exclude-hosts</value></property>
</configuration>

YARN的配置

cluster-a

yarn-site.xml

<?xml version="1.0"?>
<configuration><!-- 重试次数 --><property><name>yarn.resourcemanager.am.max-attempts</name><value>2</value></property><!-- 开启 Federation  --><property><name>yarn.federation.enabled</name><value>true</value></property><property><name>yarn.router.bind-host</name><value>192.168.1.31</value></property><property><name>yarn.router.hostname</name><value>192.168.1.31</value></property><property><name>yarn.router.webapp.address</name><value>192.168.1.31:8099</value></property><property><name>yarn.federation.state-store.class</name><value>org.apache.hadoop.yarn.server.federation.store.impl.ZookeeperFederationStateStore</value></property><property><name>yarn.nodemanager.amrmproxy.enabled</name><value>true</value></property><property><name>yarn.nodemanager.amrmproxy.ha.enable</name><value>true</value></property><!-- 开启RM高可用 --><property><name>yarn.resourcemanager.ha.enabled</name><value>true</value></property><!-- 指定RM的cluster id --><property><name>yarn.resourcemanager.cluster-id</name><value>cluster-a</value></property><!-- 指定RM的名字 --><property><name>yarn.resourcemanager.ha.rm-ids</name><value>rm1,rm2</value></property><!-- 分别指定RM的地址 --><property><name>yarn.resourcemanager.hostname.rm1</name><value>192.168.1.31</value></property><property><name>yarn.resourcemanager.hostname.rm2</name><value>192.168.1.32</value></property><property><name>yarn.resourcemanager.webapp.address.rm1</name><value>192.168.1.31:8088</value></property><property><name>yarn.resourcemanager.webapp.address.rm2</name><value>192.168.1.32:8088</value></property><!-- 指定zk集群地址 --><property><name>yarn.resourcemanager.zk-address</name><value>192.168.1.31:2181,192.168.1.32:2181,192.168.1.33:2181</value></property><property><name>hadoop.zk.address</name><value>192.168.1.31:2181,192.168.1.32:2181,192.168.1.33:2181</value></property><property><name>yarn.resourcemanager.work-preserving-recovery.enabled</name><value>true</value></property><property><name>yarn.resourcemanager.work-preserving-recovery.scheduling-wait-ms</name><value>10000</value></property><!--启动RM重启的功能，默认是false--><property><name>yarn.resourcemanager.recovery.enabled</name><value>true</value><description>Enable RM to recover state after starting. If true, thenyarn.resourcemanager.store.class must be specified</description></property><!--<property><name>yarn.resourcemanager.store.class</name><value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value><description>The class to use as the persistent store.用于状态存储的类，默认是基于Hadoop 文件系统的实现（FileSystemStateStore）</description></property><property><name>yarn.resourcemanager.zk-address</name><value>192.168.1.31:2181,192.168.1.31:2181,192.168.1.32:2181</value><description>Comma separated list of Host:Port pairs. Each corresponds to a ZooKeeper server(e.g. "127.0.0.1:3000,127.0.0.1:3001,127.0.0.1:3002") to be used by the RM for storing RM state.This must be supplied when using org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStoreas the value for yarn.resourcemanager.store.class被RM用于状态存储的ZK服务器的主机：端口号，多个ZK之间使用逗号分离</description></property><property><name>yarn.resourcemanager.store.class</name><value>org.apache.hadoop.yarn.server.resourcemanager.recovery.LeveldbRMStateStore</value></property><property><name>yarn.resoucemanager.leveldb-state-store.path</name><value>${hadoop.tmp.dir}/yarn-rm-recovery/leveldb</value></property>--><property><name>yarn.resourcemanager.store.class</name><value>org.apache.hadoop.yarn.server.resourcemanager.recovery.FileSystemRMStateStore</value></property><property><name>yarn.resourcemanager.fs.state-store.uri</name><value>hdfs://cluster-a/yarn/rmstore</value></property><property><name>yarn.resourcemanager.state-store.max-completed-applications</name><value>${yarn.resourcemanager.max-completed-applications}</value></property><!-- nodemanager --><property><name>yarn.nodemanager.address</name><value>192.168.1.31:45454</value></property><property><name>yarn.nodemanager.resource.memory-mb</name><value>16384</value></property><property><name>yarn.nodemanager.container-executor.class</name><value>org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor</value></property><property><name>yarn.nodemanager.remote-app-log-dir</name><value>/yarn/logs</value><description>on HDFS. store app stage info  </description></property><property><name>yarn.nodemanager.local-dirs</name><value>/data/apps/hadoop-3.3.1/data/yarn/local</value></property><property><name>yarn.nodemanager.log-dirs</name><value>/data/apps/hadoop-3.3.1/data/yarn/log</value></property><property><name>yarn.nodemanager.aux-services</name><value>mapreduce_shuffle</value></property><property><name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name><value>org.apache.hadoop.mapred.shuffleHandler</value></property><property><name>yarn.nodemanager.recovery.enabled</name><value>true</value></property><property><name>yarn.nodemanager.recovery.dir</name><value>${hadoop.tmp.dir}/yarn-nm-recovery</value></property><property><name>yarn.nodemanager.recovery.supervised</name><value>true</value></property><!--<property><name>yarn.nodemanager.aux-services.timeline_collector.class</name><value>org.apache.hadoop.yarn.server.timelineservice.collector.PerNodeTimelineCollectorsAuxService</value></property>--><property><name>yarn.application.classpath</name><value>/data/apps/hadoop-3.3.1/etc/hadoop,/data/apps/hadoop-3.3.1/lib/*,/data/apps/hadoop-3.3.1/share/hadoop/common/*,/data/apps/hadoop-3.3.1/share/hadoop/common/lib/*,/data/apps/hadoop-3.3.1/share/hadoop/hdfs/*,/data/apps/hadoop-3.3.1/share/hadoop/hdfs/lib/*,/data/apps/hadoop-3.3.1/share/hadoop/mapreduce/*,/data/apps/hadoop-3.3.1/share/hadoop/mapreduce/lib/*,/data/apps/hadoop-3.3.1/share/hadoop/yarn/*,/data/apps/hadoop-3.3.1/share/hadoop/yarn/lib/*,/data/apps/hadoop-3.3.1/share/hadoop/tools/*,/data/apps/hadoop-3.3.1/share/hadoop/tools/lib/*</value></property><!--需要执行如下命令，对应的参数才能生效yarn-daemon.sh start proxyserver然后就可以看到spark的任务监控了--><property><name>yarn.webapp.api-service.enable</name><value>true</value></property><property><name>yarn.webapp.ui2.enable</name><value>true</value></property><property><name>yarn.web-proxy.address</name><value>192.168.1.31:8089</value></property><!-- if not ha --><!--<property><name>yarn.resourcemanager.webapp.address</name><value>192.168.1.31:8088</value></property>--><property><name>yarn.resourcemanager.webapp.ui-actions.enabled</name><value>true</value></property><property><name>yarn.resourcemanager.webapp.cross-origin.enabled</name><value>true</value></property><property><name>yarn.nodemanager.webapp.cross-origin.enabled</name><value>true</value></property><property><name>hadoop.http.cross-origin.allowed-origins</name><value>*</value></property><!-- 开启日志聚合 --><property><name>yarn.log-aggregation-enable</name><value>true</value></property><property><name>yarn.log.server.url</name><value>http://192.168.1.31:19888/jobhistory/logs</value></property><property><name>yarn.log.server.web-service.url</name><value>http://192.168.1.31:8188/ws/v1/applicationhistory</value></property><!-- 以下是Timeline相关设置 --><!-- 设置是否开启/使用Yarn Timeline服务 --><!-- 默认值:false --><property><name>yarn.timeline-service.bind-host</name><value>192.168.1.31</value></property><property><name>yarn.timeline-service.enabled</name><value>true</value></property><property><name>yarn.timeline-service.hostname</name><value>192.168.1.31</value></property><property><name>yarn.timeline-service.address</name><value>192.168.1.31:10200</value></property><property><name>yarn.timeline-service.webapp.address</name><value>192.168.1.31:8188</value></property><property><name>yarn.timeline-service.http-cross-origin.enabled</name><value>true</value></property><property><name>yarn.timeline-service.webapp.https.address</name><value>192.168.1.31:8190</value></property><property><name>yarn.timeline-service.handler-thread-count</name><value>10</value></property><property><name>yarn.timeline-service.http-authentication.simple.anonymous.allowed</name><value>true</value></property><property><name>yarn.timeline-service.http-cross-origin.allowed-origins</name><value>*</value><description>Comma separated list of origins that are allowed for webservices needing cross-origin (CORS) support. Wildcards (*) and patternsallowed，#需要跨域源支持的web服务所允许的以逗号分隔的列表</description></property><property><name>yarn.timeline-service.http-cross-origin.allowed-methods</name><value>GET,POST,HEAD</value><description>Comma separated list of methods that are allowed for webservices needing cross-origin (CORS) support.，跨域所允许的请求操作</description></property><property><name>yarn.timeline-service.http-cross-origin.allowed-headers</name><value>X-Requested-With,Content-Type,Accept,Origin</value><description>Comma separated list of headers that are allowed for webservices needing cross-origin (CORS) support.允许用于web的标题的逗号分隔列表</description></property><property><name>yarn.timeline-service.http-cross-origin.max-age</name><value>1800</value><description>The number of seconds a pre-flighted request can be cachedfor web services needing cross-origin (CORS) support.可以缓存预先传送的请求的秒数</description></property><!-- 设置是否从Timeline history-service中获取常规信息,如果为否,则是通过RM获取 --><!-- 默认值:false --><property><name>yarn.timeline-service.generic-application-history.enabled</name><value>true</value><description>Indicate to clients whether to query generic applicationdata from timeline history-service or not. If not enabled then applicationdata is queried only from Resource Manager.向资源管理器和客户端指示是否历史记录-服务是否启用。如果启用，资源管理器将启动记录工时记录服务可以使用历史数据。同样，当应用程序如果启用此选项，请完成.</description></property><property><name>yarn.timeline-service.generic-application-history.store-class</name><value>org.apache.hadoop.yarn.server.applicationhistoryservice.FileSystemApplicationHistoryStore</value><description>Store class name for history store, defaulting to file system store</description></property><!-- 这个地址是HDFS上的地址   --><property><name>yarn.timeline-service.generic-application-history.fs-history-store.uri</name><value>/yarn/timeline/generic-history</value><description>URI pointing to the location of the FileSystem path where the history will be persisted.</description></property><property><name>yarn.timeline-service.store-class</name><value>org.apache.hadoop.yarn.server.timeline.LeveldbTimelineStore</value><description>Store class name for timeline store.</description></property><!-- leveldb是用于存放Timeline历史记录的数据库,此参数控制leveldb文件存放路径所在 --><!-- 默认值:${hadoop.tmp.dir}/yarn/timeline,其中hadoop.tmp.dir在core-site.xml中设置 --><property><name>yarn.timeline-service.leveldb-timeline-store.path</name><value>${hadoop.tmp.dir}/yarn/timeline/timeline</value><description>Store file name for leveldb timeline store.</description></property><!-- 设置leveldb中状态文件存放路径 --><!-- 默认值:${hadoop.tmp.dir}/yarn/timeline --><property><name>yarn.timeline-service.recovery.enabled</name><value>true</value></property><property><name>yarn.timeline-service.leveldb-state-store.path</name><value>${hadoop.tmp.dir}/yarn/timeline/state</value><description>Store file name for leveldb state store.</description></property><property><name>yarn.timeline-service.ttl-enable</name><value>true</value><description>Enable age off of timeline store data.</description></property><property><name>yarn.timeline-service.ttl-ms</name><value>6048000000</value><description>Time to live for timeline store data in milliseconds.</description></property><property><name>yarn.timeline-service.generic-application-history.max-applications</name><value>100000</value></property><!-- 设置RM是否发布信息到Timeline服务器 --><!-- 默认值:false --><property><name>yarn.resourcemanager.system-metrics-publisher.enabled</name><value>true</value><description>The setting that controls whether yarn system metrics is published on the timeline server or not byRM.</description></property><property><name>yarn.cluster.max-application-priority</name><value>5</value></property><property><name>hadoop.http.filter.initializers</name><value>org.apache.hadoop.security.HttpCrossOriginFilterInitializer,org.apache.hadoop.http.lib.StaticUserWebFilter</value></property>
</configuration>
cluster-b

yarn-site.xml

<?xml version="1.0"?>
<configuration><!-- 重试次数 --><property><name>yarn.resourcemanager.am.max-attempts</name><value>2</value></property><!-- 开启 Federation  --><property><name>yarn.federation.enabled</name><value>true</value></property><property><name>yarn.router.bind-host</name><value>192.168.1.35</value></property><property><name>yarn.router.hostname</name><value>192.168.1.35</value></property><property><name>yarn.router.webapp.address</name><value>192.168.1.35:8099</value></property><property><name>yarn.federation.state-store.class</name><value>org.apache.hadoop.yarn.server.federation.store.impl.ZookeeperFederationStateStore</value></property><property><name>yarn.nodemanager.amrmproxy.enabled</name><value>true</value></property><property><name>yarn.nodemanager.amrmproxy.ha.enable</name><value>true</value></property><!-- 开启RM高可用 --><property><name>yarn.resourcemanager.ha.enabled</name><value>true</value></property><!-- 指定RM的cluster id --><property><name>yarn.resourcemanager.cluster-id</name><value>cluster-b</value></property><!-- 指定RM的名字 --><property><name>yarn.resourcemanager.ha.rm-ids</name><value>rm1,rm2</value></property><!-- 分别指定RM的地址 --><property><name>yarn.resourcemanager.hostname.rm1</name><value>192.168.1.35</value></property><property><name>yarn.resourcemanager.hostname.rm2</name><value>192.168.1.36</value></property><property><name>yarn.resourcemanager.webapp.address.rm1</name><value>192.168.1.35:8088</value></property><property><name>yarn.resourcemanager.webapp.address.rm2</name><value>192.168.1.36:8088</value></property><!-- 指定zk集群地址 --><property><name>yarn.resourcemanager.zk-address</name><value>192.168.1.31:2181,192.168.1.32:2181,192.168.1.33:2181</value></property><property><name>hadoop.zk.address</name><value>192.168.1.31:2181,192.168.1.32:2181,192.168.1.33:2181</value></property><property><name>yarn.resourcemanager.work-preserving-recovery.enabled</name><value>true</value></property><property><name>yarn.resourcemanager.work-preserving-recovery.scheduling-wait-ms</name><value>10000</value></property><!--启动RM重启的功能，默认是false--><property><name>yarn.resourcemanager.recovery.enabled</name><value>true</value><description>Enable RM to recover state after starting. If true, thenyarn.resourcemanager.store.class must be specified</description></property><!--<property><name>yarn.resourcemanager.store.class</name><value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value><description>The class to use as the persistent store.用于状态存储的类，默认是基于Hadoop 文件系统的实现（FileSystemStateStore）</description></property><property><name>yarn.resourcemanager.zk-address</name><value>192.168.1.31:2181,192.168.1.31:2181,192.168.1.32:2181</value><description>Comma separated list of Host:Port pairs. Each corresponds to a ZooKeeper server(e.g. "127.0.0.1:3000,127.0.0.1:3001,127.0.0.1:3002") to be used by the RM for storing RM state.This must be supplied when using org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStoreas the value for yarn.resourcemanager.store.class被RM用于状态存储的ZK服务器的主机：端口号，多个ZK之间使用逗号分离</description></property><property><name>yarn.resourcemanager.store.class</name><value>org.apache.hadoop.yarn.server.resourcemanager.recovery.LeveldbRMStateStore</value></property><property><name>yarn.resoucemanager.leveldb-state-store.path</name><value>${hadoop.tmp.dir}/yarn-rm-recovery/leveldb</value></property>--><property><name>yarn.resourcemanager.store.class</name><value>org.apache.hadoop.yarn.server.resourcemanager.recovery.FileSystemRMStateStore</value></property><property><name>yarn.resourcemanager.fs.state-store.uri</name><value>hdfs://cluster-b/yarn/rmstore</value></property><property><name>yarn.resourcemanager.state-store.max-completed-applications</name><value>${yarn.resourcemanager.max-completed-applications}</value></property><!-- nodemanager --><property><name>yarn.nodemanager.address</name><value>192.168.1.35:45454</value></property><property><name>yarn.nodemanager.resource.memory-mb</name><value>16384</value></property><property><name>yarn.nodemanager.container-executor.class</name><value>org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor</value></property><property><name>yarn.nodemanager.remote-app-log-dir</name><value>/yarn/logs</value><description>on HDFS. store app stage info  </description></property><property><name>yarn.nodemanager.local-dirs</name><value>/data/apps/hadoop-3.3.1/data/yarn/local</value></property><property><name>yarn.nodemanager.log-dirs</name><value>/data/apps/hadoop-3.3.1/data/yarn/log</value></property><property><name>yarn.nodemanager.aux-services</name><value>mapreduce_shuffle</value></property><property><name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name><value>org.apache.hadoop.mapred.shuffleHandler</value></property><property><name>yarn.nodemanager.recovery.enabled</name><value>true</value></property><property><name>yarn.nodemanager.recovery.dir</name><value>${hadoop.tmp.dir}/yarn-nm-recovery</value></property><property><name>yarn.nodemanager.recovery.supervised</name><value>true</value></property><!--<property><name>yarn.nodemanager.aux-services.timeline_collector.class</name><value>org.apache.hadoop.yarn.server.timelineservice.collector.PerNodeTimelineCollectorsAuxService</value></property>--><property><name>yarn.application.classpath</name><value>/data/apps/hadoop-3.3.1/etc/hadoop,/data/apps/hadoop-3.3.1/lib/*,/data/apps/hadoop-3.3.1/share/hadoop/common/*,/data/apps/hadoop-3.3.1/share/hadoop/common/lib/*,/data/apps/hadoop-3.3.1/share/hadoop/hdfs/*,/data/apps/hadoop-3.3.1/share/hadoop/hdfs/lib/*,/data/apps/hadoop-3.3.1/share/hadoop/mapreduce/*,/data/apps/hadoop-3.3.1/share/hadoop/mapreduce/lib/*,/data/apps/hadoop-3.3.1/share/hadoop/yarn/*,/data/apps/hadoop-3.3.1/share/hadoop/yarn/lib/*,/data/apps/hadoop-3.3.1/share/hadoop/tools/*,/data/apps/hadoop-3.3.1/share/hadoop/tools/lib/*</value></property><!--需要执行如下命令，对应的参数才能生效yarn-daemon.sh start proxyserver然后就可以看到spark的任务监控了--><property><name>yarn.webapp.api-service.enable</name><value>true</value></property><property><name>yarn.webapp.ui2.enable</name><value>true</value></property><property><name>yarn.web-proxy.address</name><value>192.168.1.35:8089</value></property><!-- if not ha --><!--<property><name>yarn.resourcemanager.webapp.address</name><value>192.168.1.35:8088</value></property>--><property><name>yarn.resourcemanager.webapp.ui-actions.enabled</name><value>true</value></property><property><name>yarn.resourcemanager.webapp.cross-origin.enabled</name><value>true</value></property><property><name>yarn.nodemanager.webapp.cross-origin.enabled</name><value>true</value></property><property><name>hadoop.http.cross-origin.allowed-origins</name><value>*</value></property><!-- 开启日志聚合 --><property><name>yarn.log-aggregation-enable</name><value>true</value></property><property><name>yarn.log.server.url</name><value>http://192.168.1.35:19888/jobhistory/logs</value></property><property><name>yarn.log.server.web-service.url</name><value>http://192.168.1.35:8188/ws/v1/applicationhistory</value></property><!-- 以下是Timeline相关设置 --><!-- 设置是否开启/使用Yarn Timeline服务 --><!-- 默认值:false --><property><name>yarn.timeline-service.bind-host</name><value>192.168.1.35</value></property><property><name>yarn.timeline-service.enabled</name><value>true</value></property><property><name>yarn.timeline-service.hostname</name><value>192.168.1.35</value></property><property><name>yarn.timeline-service.address</name><value>192.168.1.35:10200</value></property><property><name>yarn.timeline-service.webapp.address</name><value>192.168.1.35:8188</value></property><property><name>yarn.timeline-service.http-cross-origin.enabled</name><value>true</value></property><property><name>yarn.timeline-service.webapp.https.address</name><value>192.168.1.35:8190</value></property><property><name>yarn.timeline-service.handler-thread-count</name><value>10</value></property><property><name>yarn.timeline-service.http-authentication.simple.anonymous.allowed</name><value>true</value></property><property><name>yarn.timeline-service.http-cross-origin.allowed-origins</name><value>*</value><description>Comma separated list of origins that are allowed for webservices needing cross-origin (CORS) support. Wildcards (*) and patternsallowed，#需要跨域源支持的web服务所允许的以逗号分隔的列表</description></property><property><name>yarn.timeline-service.http-cross-origin.allowed-methods</name><value>GET,POST,HEAD</value><description>Comma separated list of methods that are allowed for webservices needing cross-origin (CORS) support.，跨域所允许的请求操作</description></property><property><name>yarn.timeline-service.http-cross-origin.allowed-headers</name><value>X-Requested-With,Content-Type,Accept,Origin</value><description>Comma separated list of headers that are allowed for webservices needing cross-origin (CORS) support.允许用于web的标题的逗号分隔列表</description></property><property><name>yarn.timeline-service.http-cross-origin.max-age</name><value>1800</value><description>The number of seconds a pre-flighted request can be cachedfor web services needing cross-origin (CORS) support.可以缓存预先传送的请求的秒数</description></property><!-- 设置是否从Timeline history-service中获取常规信息,如果为否,则是通过RM获取 --><!-- 默认值:false --><property><name>yarn.timeline-service.generic-application-history.enabled</name><value>true</value><description>Indicate to clients whether to query generic applicationdata from timeline history-service or not. If not enabled then applicationdata is queried only from Resource Manager.向资源管理器和客户端指示是否历史记录-服务是否启用。如果启用，资源管理器将启动记录工时记录服务可以使用历史数据。同样，当应用程序如果启用此选项，请完成.</description></property><property><name>yarn.timeline-service.generic-application-history.store-class</name><value>org.apache.hadoop.yarn.server.applicationhistoryservice.FileSystemApplicationHistoryStore</value><description>Store class name for history store, defaulting to file system store</description></property><!-- 这个地址是HDFS上的地址   --><property><name>yarn.timeline-service.generic-application-history.fs-history-store.uri</name><value>/yarn/timeline/generic-history</value><description>URI pointing to the location of the FileSystem path where the history will be persisted.</description></property><property><name>yarn.timeline-service.store-class</name><value>org.apache.hadoop.yarn.server.timeline.LeveldbTimelineStore</value><description>Store class name for timeline store.</description></property><!-- leveldb是用于存放Timeline历史记录的数据库,此参数控制leveldb文件存放路径所在 --><!-- 默认值:${hadoop.tmp.dir}/yarn/timeline,其中hadoop.tmp.dir在core-site.xml中设置 --><property><name>yarn.timeline-service.leveldb-timeline-store.path</name><value>${hadoop.tmp.dir}/yarn/timeline/timeline</value><description>Store file name for leveldb timeline store.</description></property><!-- 设置leveldb中状态文件存放路径 --><!-- 默认值:${hadoop.tmp.dir}/yarn/timeline --><property><name>yarn.timeline-service.recovery.enabled</name><value>true</value></property><property><name>yarn.timeline-service.leveldb-state-store.path</name><value>${hadoop.tmp.dir}/yarn/timeline/state</value><description>Store file name for leveldb state store.</description></property><property><name>yarn.timeline-service.ttl-enable</name><value>true</value><description>Enable age off of timeline store data.</description></property><property><name>yarn.timeline-service.ttl-ms</name><value>6048000000</value><description>Time to live for timeline store data in milliseconds.</description></property><property><name>yarn.timeline-service.generic-application-history.max-applications</name><value>100000</value></property><!-- 设置RM是否发布信息到Timeline服务器 --><!-- 默认值:false --><property><name>yarn.resourcemanager.system-metrics-publisher.enabled</name><value>true</value><description>The setting that controls whether yarn system metrics is published on the timeline server or not byRM.</description></property><property><name>yarn.cluster.max-application-priority</name><value>5</value></property><property><name>hadoop.http.filter.initializers</name><value>org.apache.hadoop.security.HttpCrossOriginFilterInitializer,org.apache.hadoop.http.lib.StaticUserWebFilter</value></property>
</configuration>

HDFS启动命令

启动journalnode

在规划的journalnode上启动journalnode组件(必须先启动 journalnode, 否则namenode启动时，无法连接)

bin/hdfs --daemon start journalnode
# 进程为
JournalNode

主：格式化namenode（限首次）

bin/hdfs namenode -format  -clusterId CID-55a8ca40-4cfa-478f-a93d-3238b8b50e86 -nonInteractive {{ $cluster }}

主：启动namenode

bin/hdfs --daemon start namenode
# 进程为
NameNode

主：格式化zkfc（限首次）

bin/hdfs zkfc -formatZK

主：启动zkfc

bin/hdfs --daemon start zkfc
# 进程为
DFSZKFailoverController

主：启动router（限RBF模式）

bin/hdfs --daemon start dfsrouter
# 进程为
DFSRouter

从：同步namenode元数据（限首次）

bin/hdfs namenode -bootstrapStandby

从：启动namenode

bin/hdfs --daemon start namenode
# 进程为
NameNode

从：启动zkfc

bin/hdfs --daemon start zkfc
# 进程为
DFSZKFailoverController

从：启动router（限RBF模式）

bin/hdfs --daemon start dfsrouter
# 进程为
DFSRouter

启动datanode

所有的dn节点执行如下命令：

bin/hdfs --daemon start datanode
# 进程为
DataNode

停止组件命令

# 简便的
kill -9 `jps -m | egrep -iw 'journalnode|NameNode|DataNode|DFSZKFailoverController|DFSRouter' | awk '{print $1}'`kill -9 `jps -m | egrep -iw 'ResourceManager|NodeManager|Router' | awk '{print $1}'`rm -rf /data/apps/hadoop-3.3.1/data/* /data/apps/hadoop-3.3.1/logs/*[root@hadoop-31 zookeeper-3.8.0]# bin/zkCli.sh
[zk: localhost:2181(CONNECTED) 0] ls /
[federationstore, hadoop-ha-cluster-a, hadoop-ha-cluster-b, hdfs-federation, yarn-leader-election, zookeeper]
[zk: localhost:2181(CONNECTED) 1] deleteall /federationstore
[zk: localhost:2181(CONNECTED) 2] deleteall /hadoop-ha-cluster-a
[zk: localhost:2181(CONNECTED) 3] deleteall /hadoop-ha-cluster-b
[zk: localhost:2181(CONNECTED) 4] deleteall /hdfs-federation
[zk: localhost:2181(CONNECTED) 5] deleteall /yarn-leader-election# 优雅的
bin/hdfs --daemon stop datanode
bin/hdfs --daemon stop dfsrouter
bin/hdfs --daemon stop zkfc
bin/hdfs --daemon stop namenode
bin/hdfs --daemon stop journalnode

YARN启动命令

主： 启动ResourceManager

bin/yarn --daemon start resourcemanager
# 进程为
ResourceManager

从： 启动ResourceManager

bin/yarn --daemon start resourcemanager
# 进程为
ResourceManager

启动nodemanager

bin/yarn --daemon start nodemanager
# 进程为
NodeManager

启动timelineserver

bin/yarn --daemon start timelineserver# 进程为
ApplicationHistoryServer

启动proxyserver

bin/yarn --daemon start proxyserver# 进程为
WebAppProxyServer

启动historyserver (MR)

bin/mapred --daemon start historyserver# 进程为
JobHistoryServer

主：启动router（限Federation模式）

bin/yarn --daemon start router
# 进程为
Router

主从切换命令

# 将 nn1 切换成主节点
bin/hdfs haadmin -ns cluster-a -transitionToActive --forceactive --forcemanual nn1# 将 nn2 切换成主节点
bin/hdfs haadmin -ns cluster-a -failover nn1 nn2
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