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Hadoop集群安装部署_hadoop集群部署

作者：小蓝xlanll | 2024-05-28 15:24:10

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hadoop集群部署

目录

Hadoop集群安装部署

1、集群环境准备

2、建立免密通道

3、集群时间同步

4、jdk1.8安装

5、hadoop安装部署

6、Hadoop配置文件配置

7、格式化操作

8、启动hadoop集群

启动HDFS集群：

启动YARN集群

9、访问HDFS的web页面（端口9870）

 10、访问Hadoop的web页面（node1:8088）

 11、HDFS一些命令的使用

 12、mapreduce示例执行

Hadoop集群安装部署

1、集群环境准备

准备三台linux服务器，修改主机名，配置/etc/hosts文件

  1. vim /etc/hosts文件
  2. 192.168.20.11 node1
  3. 192.168.20.12 node2
  4. 192.168.20.13 node3

集群角色规划：

资源上有抢夺冲突的，尽量不要部署在一起

工作上需要相互配合的，尽量部署在一起

目录规划：

  1. 软件目录：/usr/local/
  2.  
  3. 数据规划：/data/ 

############################################################ 

2、建立免密通道

 创建一个新用户 hadoop

  1. useradd hadoop
  2.  
  3. echo "123456" | passwd hadoop --stdin

使用hadoop用户在node1节点上面与其他机器建立免密通道

  1. #生成密钥对
  2. ssh-keygen -t rsa
  3. #上传秘钥对
  4. ssh-copy-id -p 22 -i id_rsa.pub node1
  5. ssh-copy-id -p 22 -i id_rsa.pub node2
  6. ssh-copy-id -p 22 -i id_rsa.pub node3

############################################################  

3、集群时间同步

 在node1，node2，node3操作：

  1. 三台机器操作：
  2. yum -y install ntpdate
  3. [root@node1 ~]# ntpdate ntp4.aliyun.com
  4. 27 Mar 15:07:11 ntpdate[14696]: adjust time server 203.107.6.88 offset 0.004176 sec
  5. [root@node1 ~]# date
  6. 2023年 03月 27日 星期一 15:07:13 CST

############################################################  

4、jdk1.8安装

 在node1，node2，node3操作：

 下载或上传压缩包，然后解压缩

  1. # 进入软件安装目录
  2. cd /usr/local
  3.  
  4. # 解压缩安装包
  5. tar -xvf jdk1.8.0_301.tar.gz
  6.  
  7. # 创建软链接
  8. ln -s jdk1.8.0_301 jdk
  9.  
  10. # 编辑环境变量
  11. vim /etc/bashrc
  12. export JAVA_HOME=/usr/local/jdk/bin
  13. export PATH=$JAVA_HOME:$PATH
  14.  
  15.  
  16. # 使环境变量生效
  17. source /etc/bashrc

安装成功效果：

  1. [hadoop@node1 local]$ java -version
  2. java version "1.8.0_301"
  3. Java(TM) SE Runtime Environment (build 1.8.0_301-b09)
  4. Java HotSpot(TM) 64-Bit Server VM (build 25.301-b09, mixed mode)

############################################################  

5、hadoop安装部署

 在node1，node2，node3操作：

上传hadoop编译好的二进制包

  1. # 进入安装目录
  2. cd /usr/local
  3.  
  4. # 解压源码包
  5. tar xf hadoop-3.3.0-Centos7-64-with-snappy.tar.gz
  6.  
  7. # 创建软链接
  8. ln -s hadoop-3.3.0 hadoop
  9.  
  10.  
  11. [hadoop@node1 local]$ ll
  12. 总用量 445672
  13. drwxr-xr-x.  2 root   root         134 3月  24 15:36 bin
  14. drwxr-xr-x.  2 root   root           6 4月  11 2018 etc
  15. drwxr-xr-x.  2 root   root           6 4月  11 2018 games
  16. lrwxrwxrwx   1 hadoop hadoop        12 3月  27 16:14 hadoop -> hadoop-3.3.0
  17. drwxr-xr-x  10 hadoop hadoop       215 7月  15 2021 hadoop-3.3.0
  18. -rw-r--r--   1 root   root   456364743 3月  27 16:12 hadoop-3.3.0-Centos7-64-with-snappy.tar.gz
  19. drwxr-xr-x.  2 root   root           6 4月  11 2018 include
  20. lrwxrwxrwx   1 root   root          12 3月  27 14:37 jdk -> jdk1.8.0_301
  21. drwxr-xr-x   7 nginx  nginx        153 2月  17 2022 jdk1.8.0_301
  1. [hadoop@node1 hadoop]$ ll
  2. 总用量 84
  3. drwxr-xr-x 2 hadoop hadoop   203 7月  15 2021 bin
  4. drwxr-xr-x 3 hadoop hadoop    20 7月  15 2021 etc
  5. drwxr-xr-x 2 hadoop hadoop   106 7月  15 2021 include
  6. drwxr-xr-x 3 hadoop hadoop    20 7月  15 2021 lib
  7. drwxr-xr-x 4 hadoop hadoop   288 7月  15 2021 libexec
  8. -rw-rw-r-- 1 hadoop hadoop 22976 3月  27 17:52 LICENSE-binary
  9. drwxr-xr-x 2 hadoop hadoop  4096 7月  15 2021 licenses-binary
  10. -rw-rw-r-- 1 hadoop hadoop 15697 3月  27 17:52 LICENSE.txt
  11. -rw-rw-r-- 1 hadoop hadoop 27570 3月  27 17:52 NOTICE-binary
  12. -rw-rw-r-- 1 hadoop hadoop  1541 3月  27 17:52 NOTICE.txt
  13. -rw-rw-r-- 1 hadoop hadoop   175 3月  27 17:52 README.txt
  14. drwxr-xr-x 3 hadoop hadoop  4096 3月  28 10:14 sbin
  15. drwxr-xr-x 3 hadoop hadoop    20 7月  15 2021 share

############################################################  

6、Hadoop配置文件配置

 在node1配置好后，同步到node2，node3.

hadoop-env.sh：

  1. # 添加到文件最后
  2. export JAVA_HOME=/usr/local/jdk1.8.0_301
  3. export HADOOP_HOME=/usr/local/hadoop
  4. export HADOOP_CONF_DIR=${HADOOP_HOME}/etc/hadoop
  5. export HADOOP_LOG_DIR=/data/hadoop/logs
  6. export HADOOP_PID_DIR=/data/hadoop/pids
  7. #export YARN_PID_DIR=/data/hadoop/pids
  8.  
  9. export HDFS_DATANODE_SECURE_USER=hadoop
  10. export HDFS_NAMENODE_USER=hadoop
  11. export HDFS_SECONDARYNAMENODE_USER=hadoop
  12. export YARN_RESOURCEMANAGER_USER=hadoop
  13. export YARN_NODEMANAGER_USER=hadoop
  14. export YARN_PROXYSERVER_USER=hadoop
  15. export HADOOP_SHELL_EXECNAME=hadoop

core-site.xml：

  1. <configuration>
  2. <!-- 设置默认使用的文件系统 Hadoop支持file、HDFS、GFS、ali|Amazon云等文件系统 -->
  3. <property>
  4.     <name>fs.defaultFS</name>
  5.     <value>hdfs://node1:8020</value>
  6. </property>
  7.  
  8. <!-- 设置Hadoop本地保存数据路径 -->
  9. <property>
  10.     <name>hadoop.tmp.dir</name>
  11.     <value>/data/hadoop/tmp</value>
  12. </property>
  13.  
  14. <!-- 设置HDFS web UI用户身份 -->
  15. <property>
  16.     <name>hadoop.http.staticuser.user</name>
  17.     <value>root</value>
  18. </property>
  19.  
  20. <!-- 整合hive 用户代理设置 -->
  21. <property>
  22.     <name>hadoop.proxyuser.root.hosts</name>
  23.     <value>*</value>
  24. </property>
  25.  
  26. <property>
  27.     <name>hadoop.proxyuser.root.groups</name>
  28.     <value>*</value>
  29. </property>
  30.  
  31. <!-- 文件系统垃圾桶保存时间 -->
  32. <property>
  33.     <name>fs.trash.interval</name>
  34.     <value>1440</value>
  35. </property>
  36. </configuration>

hdfs-site.xml：

  1. <configuration>
  2. <!-- 设置SNN进程运行机器位置信息 -->
  3. <property>
  4.     <name>dfs.namenode.secondary.http-address</name>
  5.     <value>node2:9868</value>
  6. </property>
  7.  
  8. </configuration>

mapred-site.xml

  1. <configuration>
  2. <!-- 设置MR程序默认运行模式： yarn集群模式 local本地模式 -->
  3. <property>
  4.   <name>mapreduce.framework.name</name>
  5.   <value>yarn</value>
  6. </property>
  7.  
  8. <!-- MR程序历史服务地址 -->
  9. <property>
  10.   <name>mapreduce.jobhistory.address</name>
  11.   <value>node1:10020</value>
  12. </property>
  13.  
  14. <!-- MR程序历史服务器web端地址 -->
  15. <property>
  16.   <name>mapreduce.jobhistory.webapp.address</name>
  17.   <value>node1:19888</value>
  18. </property>
  19.  
  20. <property>
  21.   <name>yarn.app.mapreduce.am.env</name>
  22.   <value>HADOOP_MAPRED_HOME=${HADOOP_HOME}</value>
  23. </property>
  24.  
  25. <property>
  26.   <name>mapreduce.map.env</name>
  27.   <value>HADOOP_MAPRED_HOME=${HADOOP_HOME}</value>
  28. </property>
  29.  
  30. <property>
  31.   <name>mapreduce.reduce.env</name>
  32.   <value>HADOOP_MAPRED_HOME=${HADOOP_HOME}</value>
  33. </property>
  34.  
  35. </configuration>

yarn-site.xml

  1. <configuration>
  2.  
  3. <!-- Site specific YARN configuration properties -->
  4. <!-- 设置YARN集群主角色运行机器位置 -->
  5. <property>
  6. 	<name>yarn.resourcemanager.hostname</name>
  7. 	<value>node1</value>
  8. </property>
  9.  
  10. <property>
  11.     <name>yarn.nodemanager.aux-services</name>
  12.     <value>mapreduce_shuffle</value>
  13. </property>
  14.  
  15. <!-- 是否将对容器实施物理内存限制 -->
  16. <property>
  17.     <name>yarn.nodemanager.pmem-check-enabled</name>
  18.     <value>false</value>
  19. </property>
  20.  
  21. <!-- 是否将对容器实施虚拟内存限制。 -->
  22. <property>
  23.     <name>yarn.nodemanager.vmem-check-enabled</name>
  24.     <value>false</value>
  25. </property>
  26.  
  27. <!-- 开启日志聚集 -->
  28. <property>
  29.   <name>yarn.log-aggregation-enable</name>
  30.   <value>true</value>
  31. </property>
  32.  
  33. <!-- 设置yarn历史服务器地址 -->
  34. <property>
  35.     <name>yarn.log.server.url</name>
  36.     <value>http://node1:19888/jobhistory/logs</value>
  37. </property>
  38.  
  39. <!-- 历史日志保存的时间 7天 -->
  40. <property>
  41.   <name>yarn.log-aggregation.retain-seconds</name>
  42.   <value>604800</value>
  43. </property>
  44.  
  45. </configuration>

workers

  1. node1
  2. node2
  3. node3

配置hadoop环境变量

  1. vim /etc/bashrc
  2. export HADOOP_HOME=/usr/local/hadoop
  3. export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
  4.  
  5. source /etc/bashrc

############################################################  

7、格式化操作

首次启动HDFS时，必须对其进行格式化操作

faomat本质上是初始化工作，进行HDFS清理和准备工作

format只能进行一次，后续不再需要

如果多次format除了造成数据丢失外，还会导致hdfs集群主从角色之间互不识别，通过删除所有机器hadoop.tmp.dir目录重新format解决

 注意：配置文件里已经指定hadoop用户管理集群，所有操作要由hadoop用户进行：

使用hadoop用户在node1上进行格式化

  1. hadoop@node1 data]# hdfs namenode -format
  2. 上一次登录：一 3月 27 18:46:11 CST 2023pts/1 上
  3. WARNING: /data/hadoop/logs does not exist. Creating.
  4. 2023-03-27 18:47:22,391 INFO namenode.NameNode: STARTUP_MSG: 
  5. /************************************************************
  6. STARTUP_MSG: Starting NameNode
  7. STARTUP_MSG:   host = node1/192.168.20.11
  8. STARTUP_MSG:   args = [-format]
  9. STARTUP_MSG:   version = 3.3.0
  10. STARTUP_MSG:   classpath = /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/accessors-smart-1.2.jar:/usr/local/hadoop/share/hadoop/common/lib/animal-sniffer-annotations-1.17.jar:/usr/local/hadoop/share/hadoop/common/lib/asm-5.0.4.jar:/usr/local/hadoop/share/hadoop/common/lib/audience-annotations-0.5.0.jar:/usr/local/hadoop/share/hadoop/common/lib/avro-1.7.7.jar:/usr/local/hadoop/share/hadoop/common/lib/checker-qual-2.5.2.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-beanutils-1.9.4.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-codec-1.11.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-collections-3.2.2.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-compress-1.19.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-configuration2-2.1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-io-2.5.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-lang3-3.7.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-logging-1.1.3.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-math3-3.1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-net-3.6.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-text-1.4.jar:/usr/local/hadoop/share/hadoop/common/lib/curator-client-4.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/curator-framework-4.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/curator-recipes-4.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/dnsjava-2.1.7.jar:/usr/local/hadoop/share/hadoop/common/lib/failureaccess-1.0.jar:/usr/local/hadoop/share/hadoop/common/lib/gson-2.2.4.jar:/usr/local/hadoop/share/hadoop/common/lib/guava-27.0-jre.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-annotations-3.3.0.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-auth-3.3.0.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-shaded-protobuf_3_7-1.0.0.jar:/usr/local/hadoop/share/hadoop/common/lib/htrace-core4-4.1.0-incubating.jar:/usr/local/hadoop/share/hadoop/common/lib/httpclient-4.5.6.jar:/usr/local/hadoop/share/hadoop/common/lib/httpcore-4.4.10.jar:/usr/local/hadoop/share/hadoop/common/lib/j2objc-annotations-1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-annotations-2.10.3.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-core-2.10.3.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-databind-2.10.3.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-jaxrs-1.9.13.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-xc-1.9.13.jar:/usr/local/hadoop/share/hadoop/common/lib/javax.activation-api-1.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/javax.servlet-api-3.1.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-api-2.2.11.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop/share/hadoop/common/lib/jcip-annotations-1.0-1.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-core-1.19.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-json-1.19.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-server-1.19.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-servlet-1.19.jar:/usr/local/hadoop/share/hadoop/common/lib/jettison-1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-http-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-io-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-security-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-server-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-servlet-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-util-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-webapp-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-xml-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/common/lib/jsch-0.1.55.jar:/usr/local/hadoop/share/hadoop/common/lib/json-smart-2.3.jar:/usr/local/hadoop/share/hadoop/common/lib/jsp-api-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jsr305-3.0.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jsr311-api-1.1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-admin-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-client-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-common-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-core-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-crypto-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-identity-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-server-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-simplekdc-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-util-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerby-asn1-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerby-config-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerby-pkix-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerby-util-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerby-xdr-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar:/usr/local/hadoop/share/hadoop/common/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/common/lib/nimbus-jose-jwt-7.9.jar:/usr/local/hadoop/share/hadoop/common/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/common/lib/re2j-1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-api-1.7.25.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.25.jar:/usr/local/hadoop/share/hadoop/common/lib/snappy-java-1.0.5.jar:/usr/local/hadoop/share/hadoop/common/lib/stax2-api-3.1.4.jar:/usr/local/hadoop/share/hadoop/common/lib/token-provider-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/woodstox-core-5.0.3.jar:/usr/local/hadoop/share/hadoop/common/lib/zookeeper-3.5.6.jar:/usr/local/hadoop/share/hadoop/common/lib/zookeeper-jute-3.5.6.jar:/usr/local/hadoop/share/hadoop/common/lib/netty-3.10.6.Final.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-daemon-1.0.13.jar:/usr/local/hadoop/share/hadoop/common/lib/jul-to-slf4j-1.7.25.jar:/usr/local/hadoop/share/hadoop/common/lib/metrics-core-3.2.4.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-3.3.0.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-3.3.0-tests.jar:/usr/local/hadoop/share/hadoop/common/hadoop-nfs-3.3.0.jar:/usr/local/hadoop/share/hadoop/common/hadoop-registry-3.3.0.jar:/usr/local/hadoop/share/hadoop/common/hadoop-kms-3.3.0.jar:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-util-ajax-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/leveldbjni-all-1.8.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/netty-all-4.1.50.Final.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/okhttp-2.7.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/okio-1.6.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/hadoop-auth-3.3.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-codec-1.11.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/httpclient-4.5.6.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/httpcore-4.4.10.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/nimbus-jose-jwt-7.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jcip-annotations-1.0-1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/json-smart-2.3.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/accessors-smart-1.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/asm-5.0.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/zookeeper-3.5.6.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/zookeeper-jute-3.5.6.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/audience-annotations-0.5.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/curator-framework-4.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/curator-client-4.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-simplekdc-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-client-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerby-config-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-core-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerby-pkix-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerby-asn1-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerby-util-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-common-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-crypto-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-io-2.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-util-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/token-provider-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-admin-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-server-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-identity-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerby-xdr-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/guava-27.0-jre.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/failureaccess-1.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsr305-3.0.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/checker-qual-2.5.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/j2objc-annotations-1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/animal-sniffer-annotations-1.17.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-core-1.19.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsr311-api-1.1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-server-1.19.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/javax.servlet-api-3.1.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/json-simple-1.1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-server-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-http-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-util-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-io-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-webapp-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-xml-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-servlet-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-security-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/hadoop-shaded-protobuf_3_7-1.0.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/hadoop-annotations-3.3.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-math3-3.1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-net-3.6.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-collections-3.2.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/javax.activation-api-1.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-servlet-1.19.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-json-1.19.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jettison-1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jaxb-api-2.2.11.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-jaxrs-1.9.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-xc-1.9.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-beanutils-1.9.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-configuration2-2.1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-lang3-3.7.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-text-1.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/avro-1.7.7.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/snappy-java-1.0.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-compress-1.19.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/re2j-1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/gson-2.2.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsch-0.1.55.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/curator-recipes-4.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/htrace-core4-4.1.0-incubating.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-databind-2.10.3.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-annotations-2.10.3.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-core-2.10.3.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/stax2-api-3.1.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/woodstox-core-5.0.3.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/dnsjava-2.1.7.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/netty-3.10.6.Final.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-3.3.0.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-3.3.0-tests.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-nfs-3.3.0.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-client-3.3.0.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-client-3.3.0-tests.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-native-client-3.3.0.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-native-client-3.3.0-tests.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-rbf-3.3.0.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-rbf-3.3.0-tests.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-httpfs-3.3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-app-3.3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-common-3.3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-core-3.3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-3.3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-3.3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-3.3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-3.3.0-tests.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-nativetask-3.3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-3.3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-uploader-3.3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/aopalliance-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/asm-analysis-7.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/asm-commons-7.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/asm-tree-7.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/bcpkix-jdk15on-1.60.jar:/usr/local/hadoop/share/hadoop/yarn/lib/bcprov-jdk15on-1.60.jar:/usr/local/hadoop/share/hadoop/yarn/lib/ehcache-3.3.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/fst-2.50.jar:/usr/local/hadoop/share/hadoop/yarn/lib/geronimo-jcache_1.0_spec-1.0-alpha-1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guice-4.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guice-servlet-4.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/HikariCP-java7-2.4.12.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-jaxrs-base-2.10.3.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-jaxrs-json-provider-2.10.3.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-module-jaxb-annotations-2.10.3.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jakarta.activation-api-1.2.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jakarta.xml.bind-api-2.3.2.jar:/usr/local/hadoop/share/hadoop/yarn/lib/java-util-1.9.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/javax.inject-1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/javax.websocket-api-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/javax.websocket-client-api-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/javax-websocket-client-impl-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/yarn/lib/javax-websocket-server-impl-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-client-1.19.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-guice-1.19.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jetty-annotations-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jetty-client-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jetty-jndi-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jetty-plus-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jline-3.9.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jna-5.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/json-io-2.5.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/metrics-core-3.2.4.jar:/usr/local/hadoop/share/hadoop/yarn/lib/mssql-jdbc-6.2.1.jre7.jar:/usr/local/hadoop/share/hadoop/yarn/lib/objenesis-2.6.jar:/usr/local/hadoop/share/hadoop/yarn/lib/snakeyaml-1.16.jar:/usr/local/hadoop/share/hadoop/yarn/lib/swagger-annotations-1.5.4.jar:/usr/local/hadoop/share/hadoop/yarn/lib/websocket-api-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/yarn/lib/websocket-client-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/yarn/lib/websocket-common-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/yarn/lib/websocket-server-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/yarn/lib/websocket-servlet-9.4.20.v20190813.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-api-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-mawo-core-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-client-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-common-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-registry-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-common-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-nodemanager-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-router-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-sharedcachemanager-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-tests-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-timeline-pluginstorage-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-web-proxy-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-services-api-3.3.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-services-core-3.3.0.jar
  11. STARTUP_MSG:   build = Unknown -r Unknown; compiled by 'root' on 2021-07-15T07:35Z
  12. STARTUP_MSG:   java = 1.8.0_301
  13. ************************************************************/
  14. 2023-03-27 18:47:22,405 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]
  15. 2023-03-27 18:47:22,493 INFO namenode.NameNode: createNameNode [-format]
  16. 2023-03-27 18:47:22,886 INFO namenode.NameNode: Formatting using clusterid: CID-dfdfbc75-e314-4dd3-89df-a3def1a48c33
  17. 2023-03-27 18:47:22,911 INFO namenode.FSEditLog: Edit logging is async:true
  18. 2023-03-27 18:47:22,927 INFO namenode.FSNamesystem: KeyProvider: null
  19. 2023-03-27 18:47:22,928 INFO namenode.FSNamesystem: fsLock is fair: true
  20. 2023-03-27 18:47:22,928 INFO namenode.FSNamesystem: Detailed lock hold time metrics enabled: false
  21. 2023-03-27 18:47:22,931 INFO namenode.FSNamesystem: fsOwner                = hadoop (auth:SIMPLE)
  22. 2023-03-27 18:47:22,932 INFO namenode.FSNamesystem: supergroup             = supergroup
  23. 2023-03-27 18:47:22,932 INFO namenode.FSNamesystem: isPermissionEnabled    = true
  24. 2023-03-27 18:47:22,932 INFO namenode.FSNamesystem: isStoragePolicyEnabled = true
  25. 2023-03-27 18:47:22,932 INFO namenode.FSNamesystem: HA Enabled: false
  26. 2023-03-27 18:47:22,961 INFO common.Util: dfs.datanode.fileio.profiling.sampling.percentage set to 0. Disabling file IO profiling
  27. 2023-03-27 18:47:22,967 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit: configured=1000, counted=60, effected=1000
  28. 2023-03-27 18:47:22,967 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true
  29. 2023-03-27 18:47:22,969 INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to 000:00:00:00.000
  30. 2023-03-27 18:47:22,969 INFO blockmanagement.BlockManager: The block deletion will start around 2023 三月 27 18:47:22
  31. 2023-03-27 18:47:22,970 INFO util.GSet: Computing capacity for map BlocksMap
  32. 2023-03-27 18:47:22,970 INFO util.GSet: VM type       = 64-bit
  33. 2023-03-27 18:47:22,971 INFO util.GSet: 2.0% max memory 405.5 MB = 8.1 MB
  34. 2023-03-27 18:47:22,971 INFO util.GSet: capacity      = 2^20 = 1048576 entries
  35. 2023-03-27 18:47:22,977 INFO blockmanagement.BlockManager: Storage policy satisfier is disabled
  36. 2023-03-27 18:47:22,977 INFO blockmanagement.BlockManager: dfs.block.access.token.enable = false
  37. 2023-03-27 18:47:23,008 INFO blockmanagement.BlockManagerSafeMode: dfs.namenode.safemode.threshold-pct = 0.999
  38. 2023-03-27 18:47:23,008 INFO blockmanagement.BlockManagerSafeMode: dfs.namenode.safemode.min.datanodes = 0
  39. 2023-03-27 18:47:23,008 INFO blockmanagement.BlockManagerSafeMode: dfs.namenode.safemode.extension = 30000
  40. 2023-03-27 18:47:23,009 INFO blockmanagement.BlockManager: defaultReplication         = 3
  41. 2023-03-27 18:47:23,009 INFO blockmanagement.BlockManager: maxReplication             = 512
  42. 2023-03-27 18:47:23,009 INFO blockmanagement.BlockManager: minReplication             = 1
  43. 2023-03-27 18:47:23,009 INFO blockmanagement.BlockManager: maxReplicationStreams      = 2
  44. 2023-03-27 18:47:23,009 INFO blockmanagement.BlockManager: redundancyRecheckInterval  = 3000ms
  45. 2023-03-27 18:47:23,009 INFO blockmanagement.BlockManager: encryptDataTransfer        = false
  46. 2023-03-27 18:47:23,009 INFO blockmanagement.BlockManager: maxNumBlocksToLog          = 1000
  47. 2023-03-27 18:47:23,022 INFO namenode.FSDirectory: GLOBAL serial map: bits=29 maxEntries=536870911
  48. 2023-03-27 18:47:23,022 INFO namenode.FSDirectory: USER serial map: bits=24 maxEntries=16777215
  49. 2023-03-27 18:47:23,022 INFO namenode.FSDirectory: GROUP serial map: bits=24 maxEntries=16777215
  50. 2023-03-27 18:47:23,022 INFO namenode.FSDirectory: XATTR serial map: bits=24 maxEntries=16777215
  51. 2023-03-27 18:47:23,032 INFO util.GSet: Computing capacity for map INodeMap
  52. 2023-03-27 18:47:23,032 INFO util.GSet: VM type       = 64-bit
  53. 2023-03-27 18:47:23,032 INFO util.GSet: 1.0% max memory 405.5 MB = 4.1 MB
  54. 2023-03-27 18:47:23,032 INFO util.GSet: capacity      = 2^19 = 524288 entries
  55. 2023-03-27 18:47:23,032 INFO namenode.FSDirectory: ACLs enabled? true
  56. 2023-03-27 18:47:23,032 INFO namenode.FSDirectory: POSIX ACL inheritance enabled? true
  57. 2023-03-27 18:47:23,032 INFO namenode.FSDirectory: XAttrs enabled? true
  58. 2023-03-27 18:47:23,032 INFO namenode.NameNode: Caching file names occurring more than 10 times
  59. 2023-03-27 18:47:23,035 INFO snapshot.SnapshotManager: Loaded config captureOpenFiles: false, skipCaptureAccessTimeOnlyChange: false, snapshotDiffAllowSnapRootDescendant: true, maxSnapshotLimit: 65536
  60. 2023-03-27 18:47:23,036 INFO snapshot.SnapshotManager: SkipList is disabled
  61. 2023-03-27 18:47:23,039 INFO util.GSet: Computing capacity for map cachedBlocks
  62. 2023-03-27 18:47:23,039 INFO util.GSet: VM type       = 64-bit
  63. 2023-03-27 18:47:23,040 INFO util.GSet: 0.25% max memory 405.5 MB = 1.0 MB
  64. 2023-03-27 18:47:23,040 INFO util.GSet: capacity      = 2^17 = 131072 entries
  65. 2023-03-27 18:47:23,045 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.window.num.buckets = 10
  66. 2023-03-27 18:47:23,045 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.num.users = 10
  67. 2023-03-27 18:47:23,045 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.windows.minutes = 1,5,25
  68. 2023-03-27 18:47:23,047 INFO namenode.FSNamesystem: Retry cache on namenode is enabled
  69. 2023-03-27 18:47:23,048 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis
  70. 2023-03-27 18:47:23,049 INFO util.GSet: Computing capacity for map NameNodeRetryCache
  71. 2023-03-27 18:47:23,049 INFO util.GSet: VM type       = 64-bit
  72. 2023-03-27 18:47:23,049 INFO util.GSet: 0.029999999329447746% max memory 405.5 MB = 124.6 KB
  73. 2023-03-27 18:47:23,049 INFO util.GSet: capacity      = 2^14 = 16384 entries
  74. 2023-03-27 18:47:23,064 INFO namenode.FSImage: Allocated new BlockPoolId: BP-1176397251-192.168.20.11-1679914043059
  75. 2023-03-27 18:47:23,071 INFO common.Storage: Storage directory /data/hadoop/tmp/dfs/name has been successfully formatted.
  76. 2023-03-27 18:47:23,088 INFO namenode.FSImageFormatProtobuf: Saving image file /data/hadoop/tmp/dfs/name/current/fsimage.ckpt_0000000000000000000 using no compression
  77. 2023-03-27 18:47:23,188 INFO namenode.FSImageFormatProtobuf: Image file /data/hadoop/tmp/dfs/name/current/fsimage.ckpt_0000000000000000000 of size 401 bytes saved in 0 seconds .
  78. 2023-03-27 18:47:23,204 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
  79. 2023-03-27 18:47:23,214 INFO namenode.FSImage: FSImageSaver clean checkpoint: txid=0 when meet shutdown.
  80. 2023-03-27 18:47:23,214 INFO namenode.NameNode: SHUTDOWN_MSG: 
  81. /************************************************************
  82. SHUTDOWN_MSG: Shutting down NameNode at node1/192.168.20.11
  83. ************************************************************/

############################################################  

8、启动hadoop集群

启动HDFS集群：

  1. [hadoop@node1 ~]$ start-dfs.sh
  2. Starting namenodes on [node1]
  3. Starting datanodes
  4. Starting secondary namenodes [node2]
  1. 使用jps命令查看各个节点是否启动正常
  2.  
  3. [hadoop@node1 ~]$ jps
  4. 29299 Jps
  5. 29048 DataNode
  6. 28892 NameNode
  7.  
  8. [hadoop@node2 local]$ jps
  9. 6844 SecondaryNameNode
  10. 7503 DataNode
  11. 7695 Jps
  12.  
  13. [hadoop@node3 ~]$ jps
  14. 4889 DataNode
  15. 4973 Jps

启动YARN集群

  1. [hadoop@node1 hadoop]$ start-yarn.sh
  2. Starting resourcemanager
  3. Starting nodemanagers
  1. 使用jps命令查看各个节点是否启动正常
  2. [hadoop@node1 hadoop]$ jps
  3. 30593 NodeManager
  4. 29048 DataNode
  5. 30283 ResourceManager
  6. 30763 Jps
  7. 28892 NameNode
  8.  
  9. [hadoop@node2 hadoop]$ jps
  10. 8130 Jps
  11. 8008 NodeManager
  12. 6844 SecondaryNameNode
  13. 7503 DataNode
  14.  
  15. [hadoop@node3 hadoop]$ jps
  16. 5251 NodeManager
  17. 4889 DataNode
  18. 5374 Jps

############################################################  

9、访问HDFS的web页面（端口9870）

############################################################  

 10、访问Hadoop的web页面（node1:8088）

############################################################  

 11、HDFS一些命令的使用

  1. [hadoop@node1 local]$ hadoop fs -ls /
  2. [hadoop@node1 local]$ hadoop fs -mkdir /test
  3. [hadoop@node1 local]$ hadoop fs -ls /
  4. Found 1 items
  5. drwxr-xr-x   - hadoop supergroup          0 2023-03-28 14:03 /test

############################################################  

 12、mapreduce示例执行

cd /usr/local/hadoop/share/hadoop/mapreduce
  1. [hadoop@node1 mapreduce]$ ll
  2. 总用量 5276
  3. -rw-r--r-- 1 hadoop hadoop  589704 3月  27 17:53 hadoop-mapreduce-client-app-3.3.0.jar
  4. -rw-r--r-- 1 hadoop hadoop  803842 3月  27 17:53 hadoop-mapreduce-client-common-3.3.0.jar
  5. -rw-r--r-- 1 hadoop hadoop 1623803 3月  27 17:53 hadoop-mapreduce-client-core-3.3.0.jar
  6. -rw-r--r-- 1 hadoop hadoop  181995 3月  27 17:53 hadoop-mapreduce-client-hs-3.3.0.jar
  7. -rw-r--r-- 1 hadoop hadoop   10323 3月  27 17:53 hadoop-mapreduce-client-hs-plugins-3.3.0.jar
  8. -rw-r--r-- 1 hadoop hadoop   50701 3月  27 17:53 hadoop-mapreduce-client-jobclient-3.3.0.jar
  9. -rw-r--r-- 1 hadoop hadoop 1651503 3月  27 17:53 hadoop-mapreduce-client-jobclient-3.3.0-tests.jar
  10. -rw-r--r-- 1 hadoop hadoop   91017 3月  27 17:53 hadoop-mapreduce-client-nativetask-3.3.0.jar
  11. -rw-r--r-- 1 hadoop hadoop   62310 3月  27 17:53 hadoop-mapreduce-client-shuffle-3.3.0.jar
  12. -rw-r--r-- 1 hadoop hadoop   22637 3月  27 17:53 hadoop-mapreduce-client-uploader-3.3.0.jar
  13. -rw-r--r-- 1 hadoop hadoop  281197 3月  27 17:53 hadoop-mapreduce-examples-3.3.0.jar
  14. drwxr-xr-x 2 hadoop hadoop    4096 7月  15 2021 jdiff
  15. drwxr-xr-x 2 hadoop hadoop      30 7月  15 2021 lib-examples
  16. drwxr-xr-x 2 hadoop hadoop    4096 7月  15 2021 sources
  1. [hadoop@node1 mapreduce]$ hadoop jar hadoop-mapreduce-examples-3.3.0.jar pi 2 4
  2. Number of Maps  = 2
  3. Samples per Map = 4
  4. Wrote input for Map #0
  5. Wrote input for Map #1
  6. Starting Job
  7. 2023-03-28 14:19:18,805 INFO client.DefaultNoHARMFailoverProxyProvider: Connecting to ResourceManager at node1/192.168.20.11:8032
  8. 2023-03-28 14:19:19,106 INFO mapreduce.JobResourceUploader: Disabling Erasure Coding for path: /tmp/hadoop-yarn/staging/hadoop/.staging/job_1679971080789_0001
  9. 2023-03-28 14:19:19,204 INFO input.FileInputFormat: Total input files to process : 2
  10. 2023-03-28 14:19:19,256 INFO mapreduce.JobSubmitter: number of splits:2
  11. 2023-03-28 14:19:19,384 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1679971080789_0001
  12. 2023-03-28 14:19:19,384 INFO mapreduce.JobSubmitter: Executing with tokens: []
  13. 2023-03-28 14:19:19,507 INFO conf.Configuration: resource-types.xml not found
  14. 2023-03-28 14:19:19,507 INFO resource.ResourceUtils: Unable to find 'resource-types.xml'.
  15. 2023-03-28 14:19:19,900 INFO impl.YarnClientImpl: Submitted application application_1679971080789_0001
  16. 2023-03-28 14:19:19,930 INFO mapreduce.Job: The url to track the job: http://node1:8088/proxy/application_1679971080789_0001/
  17. 2023-03-28 14:19:19,931 INFO mapreduce.Job: Running job: job_1679971080789_0001
  18. 2023-03-28 14:19:25,018 INFO mapreduce.Job: Job job_1679971080789_0001 running in uber mode : false
  19. 2023-03-28 14:19:25,026 INFO mapreduce.Job:  map 0% reduce 0%
  20. 2023-03-28 14:19:30,108 INFO mapreduce.Job:  map 100% reduce 0%
  21. 2023-03-28 14:19:35,156 INFO mapreduce.Job:  map 100% reduce 100%
  22. 2023-03-28 14:19:35,174 INFO mapreduce.Job: Job job_1679971080789_0001 completed successfully
  23. 2023-03-28 14:19:35,237 INFO mapreduce.Job: Counters: 54
  24. 	File System Counters
  25. 		FILE: Number of bytes read=50
  26. 		FILE: Number of bytes written=795021
  27. 		FILE: Number of read operations=0
  28. 		FILE: Number of large read operations=0
  29. 		FILE: Number of write operations=0
  30. 		HDFS: Number of bytes read=524
  31. 		HDFS: Number of bytes written=215
  32. 		HDFS: Number of read operations=13
  33. 		HDFS: Number of large read operations=0
  34. 		HDFS: Number of write operations=3
  35. 		HDFS: Number of bytes read erasure-coded=0
  36. 	Job Counters 
  37. 		Launched map tasks=2
  38. 		Launched reduce tasks=1
  39. 		Data-local map tasks=2
  40. 		Total time spent by all maps in occupied slots (ms)=6047
  41. 		Total time spent by all reduces in occupied slots (ms)=1620
  42. 		Total time spent by all map tasks (ms)=6047
  43. 		Total time spent by all reduce tasks (ms)=1620
  44. 		Total vcore-milliseconds taken by all map tasks=6047
  45. 		Total vcore-milliseconds taken by all reduce tasks=1620
  46. 		Total megabyte-milliseconds taken by all map tasks=6192128
  47. 		Total megabyte-milliseconds taken by all reduce tasks=1658880
  48. 	Map-Reduce Framework
  49. 		Map input records=2
  50. 		Map output records=4
  51. 		Map output bytes=36
  52. 		Map output materialized bytes=56
  53. 		Input split bytes=288
  54. 		Combine input records=0
  55. 		Combine output records=0
  56. 		Reduce input groups=2
  57. 		Reduce shuffle bytes=56
  58. 		Reduce input records=4
  59. 		Reduce output records=0
  60. 		Spilled Records=8
  61. 		Shuffled Maps =2
  62. 		Failed Shuffles=0
  63. 		Merged Map outputs=2
  64. 		GC time elapsed (ms)=145
  65. 		CPU time spent (ms)=1380
  66. 		Physical memory (bytes) snapshot=725311488
  67. 		Virtual memory (bytes) snapshot=8377520128
  68. 		Total committed heap usage (bytes)=516947968
  69. 		Peak Map Physical memory (bytes)=268955648
  70. 		Peak Map Virtual memory (bytes)=2790277120
  71. 		Peak Reduce Physical memory (bytes)=190787584
  72. 		Peak Reduce Virtual memory (bytes)=2798702592
  73. 	Shuffle Errors
  74. 		BAD_ID=0
  75. 		CONNECTION=0
  76. 		IO_ERROR=0
  77. 		WRONG_LENGTH=0
  78. 		WRONG_MAP=0
  79. 		WRONG_REDUCE=0
  80. 	File Input Format Counters 
  81. 		Bytes Read=236
  82. 	File Output Format Counters 
  83. 		Bytes Written=97
  84. Job Finished in 16.483 seconds
  85. Estimated value of Pi is 3.50000000000000000000

执行mapreduce的时候，会首先连接ResourceManager，也就是YARN集群，请求调度资源。

mapreduce执行分两个阶段，先执行map，再执行reduce。

 ############################################################ 

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