Hadoop下载地址:https://archive.apache.org/dist/hadoop/common/hadoop-3.2.0/
Jdk下载地址:https://repo.huaweicloud.com/java/jdk/8u202-b08/
[root@hadoop01 hadoop]# vim /etc/sysconfig/network-scripts/ifcfg-ens33
TYPE="Ethernet"
PROXY_METHOD="none"
BROWSER_ONLY="no"
BOOTPROTO="static" #修改为static
DEFROUTE="yes"
IPV4_FAILURE_FATAL="no"
IPV6INIT="yes"
IPV6_AUTOCONF="yes"
IPV6_DEFROUTE="yes"
IPV6_FAILURE_FATAL="no"
IPV6_ADDR_GEN_MODE="stable-privacy"
NAME="ens33"
UUID="f784733d-1beb-4a60-bee1-a132fa810a0e"
DEVICE="ens33"
ONBOOT="yes"
# 下面三项需要自己添加,(192.168.52)这个在VM中,点击编辑->虚拟网络编辑器->NAT设置中可以查看
IPADDR=192.168.52.100
GATEWAY=192.168.52.2
DNS1=192.168.52.2
# 修改完之后重启网卡
[root@hadoop01 hadoop]# service network restart
# 查看ip地址
[root@hadoop01 hadoop]# ip addr
1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN group default qlen 1000
link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00
inet 127.0.0.1/8 scope host lo
valid_lft forever preferred_lft forever
inet6 ::1/128 scope host
valid_lft forever preferred_lft forever
2: ens33: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast state UP group default qlen 1000
link/ether 00:0c:29:54:0d:dd brd ff:ff:ff:ff:ff:ff
inet 192.168.52.100/24 brd 192.168.52.255 scope global noprefixroute ens33
valid_lft forever preferred_lft forever
inet6 fe80::965d:76b:dac9:4202/64 scope link noprefixroute
valid_lft forever preferred_lft forever
2. 修改hostname
# localhost删掉,修改为自己想要的名字,比如我这里是hadoop01
[root@hadoop01 hadoop]# vim /etc/hostname
# 修改完成之后重启虚拟机
[root@hadoop01 hadoop]# reboot -h now

[root@hadoop01 soft]# tar -zxvf jdk-8u202-linux-x64.tar.gz
[root@hadoop01 soft]# vim /etc/profile
# 文件末端添加
export JAVA_HOME=/home/soft/jdk-8u202
export PATH=$JAVA_HOME/bin:$PATH
# 安装完成
[root@hadoop01 soft]# java -version
java version "1.8.0_202"
Java(TM) SE Runtime Environment (build 1.8.0_202-b08)
Java HotSpot(TM) 64-Bit Server VM (build 25.202-b08, mixed mode)
Hadoop环境安装
[root@hadoop01 soft]# tar -zxvf jdk-8u202-linux-x64.tar.gz
[root@hadoop01 soft]# vim /etc/profile
export HADOOP_HOME=/home/soft/hadoop-3.2.0
export PATH=$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH
Hadoop配置文件修改(/home/soft/hadoop-3.2.0/etc/hadoop)
<configuration>
<property>
<name>fs.defaultFSname>
<value>hdfs://hadoop01:9000value>
property>
<property>
<name>hadoop.tmp.dirname>
<value>/home/hadoop_repo/datavalue>
property>
configuration>
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Set Hadoop-specific environment variables here.
##
## THIS FILE ACTS AS THE MASTER FILE FOR ALL HADOOP PROJECTS.
## SETTINGS HERE WILL BE READ BY ALL HADOOP COMMANDS. THEREFORE,
## ONE CAN USE THIS FILE TO SET YARN, HDFS, AND MAPREDUCE
## CONFIGURATION OPTIONS INSTEAD OF xxx-env.sh.
##
## Precedence rules:
##
## {yarn-env.sh|hdfs-env.sh} > hadoop-env.sh > hard-coded defaults
##
## {YARN_xyz|HDFS_xyz} > HADOOP_xyz > hard-coded defaults
##
# Many of the options here are built from the perspective that users
# may want to provide OVERWRITING values on the command line.
# For example:
#
# JAVA_HOME=/usr/java/testing hdfs dfs -ls
#
# Therefore, the vast majority (BUT NOT ALL!) of these defaults
# are configured for substitution and not append. If append
# is preferable, modify this file accordingly.
###
# Generic settings for HADOOP
###
# Technically, the only required environment variable is JAVA_HOME.
# All others are optional. However, the defaults are probably not
# preferred. Many sites configure these options outside of Hadoop,
# such as in /etc/profile.d
# The java implementation to use. By default, this environment
# variable is REQUIRED on ALL platforms except OS X!
export JAVA_HOME=/home/soft/jdk1.8
# Location of Hadoop. By default, Hadoop will attempt to determine
# this location based upon its execution path.
# export HADOOP_HOME=
# Location of Hadoop's configuration information. i.e., where this
# file is living. If this is not defined, Hadoop will attempt to
# locate it based upon its execution path.
#
# NOTE: It is recommend that this variable not be set here but in
# /etc/profile.d or equivalent. Some options (such as
# --config) may react strangely otherwise.
#
# export HADOOP_CONF_DIR=${HADOOP_HOME}/etc/hadoop
# The maximum amount of heap to use (Java -Xmx). If no unit
# is provided, it will be converted to MB. Daemons will
# prefer any Xmx setting in their respective _OPT variable.
# There is no default; the JVM will autoscale based upon machine
# memory size.
# export HADOOP_HEAPSIZE_MAX=
# The minimum amount of heap to use (Java -Xms). If no unit
# is provided, it will be converted to MB. Daemons will
# prefer any Xms setting in their respective _OPT variable.
# There is no default; the JVM will autoscale based upon machine
# memory size.
# export HADOOP_HEAPSIZE_MIN=
# Enable extra debugging of Hadoop's JAAS binding, used to set up
# Kerberos security.
# export HADOOP_JAAS_DEBUG=true
# Extra Java runtime options for all Hadoop commands. We don't support
# IPv6 yet/still, so by default the preference is set to IPv4.
# export HADOOP_OPTS="-Djava.net.preferIPv4Stack=true"
# For Kerberos debugging, an extended option set logs more information
# export HADOOP_OPTS="-Djava.net.preferIPv4Stack=true -Dsun.security.krb5.debug=true -Dsun.security.spnego.debug"
# Some parts of the shell code may do special things dependent upon
# the operating system. We have to set this here. See the next
# section as to why....
export HADOOP_OS_TYPE=${HADOOP_OS_TYPE:-$(uname -s)}
# Under certain conditions, Java on OS X will throw SCDynamicStore errors
# in the system logs.
# See HADOOP-8719 for more information. If one needs Kerberos
# support on OS X, one will want to change/remove this extra bit.
case ${HADOOP_OS_TYPE} in
Darwin*)
export HADOOP_OPTS="${HADOOP_OPTS} -Djava.security.krb5.realm= "
export HADOOP_OPTS="${HADOOP_OPTS} -Djava.security.krb5.kdc= "
export HADOOP_OPTS="${HADOOP_OPTS} -Djava.security.krb5.conf= "
;;
esac
# Extra Java runtime options for some Hadoop commands
# and clients (i.e., hdfs dfs -blah). These get appended to HADOOP_OPTS for
# such commands. In most cases, # this should be left empty and
# let users supply it on the command line.
# export HADOOP_CLIENT_OPTS=""
#
# A note about classpaths.
#
# By default, Apache Hadoop overrides Java's CLASSPATH
# environment variable. It is configured such
# that it starts out blank with new entries added after passing
# a series of checks (file/dir exists, not already listed aka
# de-deduplication). During de-deduplication, wildcards and/or
# directories are *NOT* expanded to keep it simple. Therefore,
# if the computed classpath has two specific mentions of
# awesome-methods-1.0.jar, only the first one added will be seen.
# If two directories are in the classpath that both contain
# awesome-methods-1.0.jar, then Java will pick up both versions.
# An additional, custom CLASSPATH. Site-wide configs should be
# handled via the shellprofile functionality, utilizing the
# hadoop_add_classpath function for greater control and much
# harder for apps/end-users to accidentally override.
# Similarly, end users should utilize ${HOME}/.hadooprc .
# This variable should ideally only be used as a short-cut,
# interactive way for temporary additions on the command line.
# export HADOOP_CLASSPATH="/some/cool/path/on/your/machine"
# Should HADOOP_CLASSPATH be first in the official CLASSPATH?
# export HADOOP_USER_CLASSPATH_FIRST="yes"
# If HADOOP_USE_CLIENT_CLASSLOADER is set, the classpath along
# with the main jar are handled by a separate isolated
# client classloader when 'hadoop jar', 'yarn jar', or 'mapred job'
# is utilized. If it is set, HADOOP_CLASSPATH and
# HADOOP_USER_CLASSPATH_FIRST are ignored.
# export HADOOP_USE_CLIENT_CLASSLOADER=true
# HADOOP_CLIENT_CLASSLOADER_SYSTEM_CLASSES overrides the default definition of
# system classes for the client classloader when HADOOP_USE_CLIENT_CLASSLOADER
# is enabled. Names ending in '.' (period) are treated as package names, and
# names starting with a '-' are treated as negative matches. For example,
# export HADOOP_CLIENT_CLASSLOADER_SYSTEM_CLASSES="-org.apache.hadoop.UserClass,java.,javax.,org.apache.hadoop."
# Enable optional, bundled Hadoop features
# This is a comma delimited list. It may NOT be overridden via .hadooprc
# Entries may be added/removed as needed.
# export HADOOP_OPTIONAL_TOOLS="hadoop-aliyun,hadoop-aws,hadoop-azure-datalake,hadoop-azure,hadoop-kafka,hadoop-openstack"
###
# Options for remote shell connectivity
###
# There are some optional components of hadoop that allow for
# command and control of remote hosts. For example,
# start-dfs.sh will attempt to bring up all NNs, DNS, etc.
# Options to pass to SSH when one of the "log into a host and
# start/stop daemons" scripts is executed
# export HADOOP_SSH_OPTS="-o BatchMode=yes -o StrictHostKeyChecking=no -o ConnectTimeout=10s"
# The built-in ssh handler will limit itself to 10 simultaneous connections.
# For pdsh users, this sets the fanout size ( -f )
# Change this to increase/decrease as necessary.
# export HADOOP_SSH_PARALLEL=10
# Filename which contains all of the hosts for any remote execution
# helper scripts # such as workers.sh, start-dfs.sh, etc.
# export HADOOP_WORKERS="${HADOOP_CONF_DIR}/workers"
###
# Options for all daemons
###
#
#
# Many options may also be specified as Java properties. It is
# very common, and in many cases, desirable, to hard-set these
# in daemon _OPTS variables. Where applicable, the appropriate
# Java property is also identified. Note that many are re-used
# or set differently in certain contexts (e.g., secure vs
# non-secure)
#
# Where (primarily) daemon log files are stored.
# ${HADOOP_HOME}/logs by default.
# Java property: hadoop.log.dir
# export HADOOP_LOG_DIR=${HADOOP_HOME}/logs
# A string representing this instance of hadoop. $USER by default.
# This is used in writing log and pid files, so keep that in mind!
# Java property: hadoop.id.str
# export HADOOP_IDENT_STRING=$USER
# How many seconds to pause after stopping a daemon
# export HADOOP_STOP_TIMEOUT=5
# Where pid files are stored. /tmp by default.
# export HADOOP_PID_DIR=/tmp
# Default log4j setting for interactive commands
# Java property: hadoop.root.logger
# export HADOOP_ROOT_LOGGER=INFO,console
# Default log4j setting for daemons spawned explicitly by
# --daemon option of hadoop, hdfs, mapred and yarn command.
# Java property: hadoop.root.logger
# export HADOOP_DAEMON_ROOT_LOGGER=INFO,RFA
# Default log level and output location for security-related messages.
# You will almost certainly want to change this on a per-daemon basis via
# the Java property (i.e., -Dhadoop.security.logger=foo). (Note that the
# defaults for the NN and 2NN override this by default.)
# Java property: hadoop.security.logger
# export HADOOP_SECURITY_LOGGER=INFO,NullAppender
# Default process priority level
# Note that sub-processes will also run at this level!
# export HADOOP_NICENESS=0
# Default name for the service level authorization file
# Java property: hadoop.policy.file
# export HADOOP_POLICYFILE="hadoop-policy.xml"
#
# NOTE: this is not used by default! <-----
# You can define variables right here and then re-use them later on.
# For example, it is common to use the same garbage collection settings
# for all the daemons. So one could define:
#
# export HADOOP_GC_SETTINGS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps"
#
# .. and then use it as per the b option under the namenode.
###
# Secure/privileged execution
###
#
# Out of the box, Hadoop uses jsvc from Apache Commons to launch daemons
# on privileged ports. This functionality can be replaced by providing
# custom functions. See hadoop-functions.sh for more information.
#
# The jsvc implementation to use. Jsvc is required to run secure datanodes
# that bind to privileged ports to provide authentication of data transfer
# protocol. Jsvc is not required if SASL is configured for authentication of
# data transfer protocol using non-privileged ports.
# export JSVC_HOME=/usr/bin
#
# This directory contains pids for secure and privileged processes.
#export HADOOP_SECURE_PID_DIR=${HADOOP_PID_DIR}
#
# This directory contains the logs for secure and privileged processes.
# Java property: hadoop.log.dir
# export HADOOP_SECURE_LOG=${HADOOP_LOG_DIR}
#
# When running a secure daemon, the default value of HADOOP_IDENT_STRING
# ends up being a bit bogus. Therefore, by default, the code will
# replace HADOOP_IDENT_STRING with HADOOP_xx_SECURE_USER. If one wants
# to keep HADOOP_IDENT_STRING untouched, then uncomment this line.
# export HADOOP_SECURE_IDENT_PRESERVE="true"
###
# NameNode specific parameters
###
# Default log level and output location for file system related change
# messages. For non-namenode daemons, the Java property must be set in
# the appropriate _OPTS if one wants something other than INFO,NullAppender
# Java property: hdfs.audit.logger
# export HDFS_AUDIT_LOGGER=INFO,NullAppender
# Specify the JVM options to be used when starting the NameNode.
# These options will be appended to the options specified as HADOOP_OPTS
# and therefore may override any similar flags set in HADOOP_OPTS
#
# a) Set JMX options
# export HDFS_NAMENODE_OPTS="-Dcom.sun.management.jmxremote=true -Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.port=1026"
#
# b) Set garbage collection logs
# export HDFS_NAMENODE_OPTS="${HADOOP_GC_SETTINGS} -Xloggc:${HADOOP_LOG_DIR}/gc-rm.log-$(date +'%Y%m%d%H%M')"
#
# c) ... or set them directly
# export HDFS_NAMENODE_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -Xloggc:${HADOOP_LOG_DIR}/gc-rm.log-$(date +'%Y%m%d%H%M')"
# this is the default:
# export HDFS_NAMENODE_OPTS="-Dhadoop.security.logger=INFO,RFAS"
###
# SecondaryNameNode specific parameters
###
# Specify the JVM options to be used when starting the SecondaryNameNode.
# These options will be appended to the options specified as HADOOP_OPTS
# and therefore may override any similar flags set in HADOOP_OPTS
#
# This is the default:
# export HDFS_SECONDARYNAMENODE_OPTS="-Dhadoop.security.logger=INFO,RFAS"
###
# DataNode specific parameters
###
# Specify the JVM options to be used when starting the DataNode.
# These options will be appended to the options specified as HADOOP_OPTS
# and therefore may override any similar flags set in HADOOP_OPTS
#
# This is the default:
# export HDFS_DATANODE_OPTS="-Dhadoop.security.logger=ERROR,RFAS"
# On secure datanodes, user to run the datanode as after dropping privileges.
# This **MUST** be uncommented to enable secure HDFS if using privileged ports
# to provide authentication of data transfer protocol. This **MUST NOT** be
# defined if SASL is configured for authentication of data transfer protocol
# using non-privileged ports.
# This will replace the hadoop.id.str Java property in secure mode.
# export HDFS_DATANODE_SECURE_USER=hdfs
# Supplemental options for secure datanodes
# By default, Hadoop uses jsvc which needs to know to launch a
# server jvm.
# export HDFS_DATANODE_SECURE_EXTRA_OPTS="-jvm server"
###
# NFS3 Gateway specific parameters
###
# Specify the JVM options to be used when starting the NFS3 Gateway.
# These options will be appended to the options specified as HADOOP_OPTS
# and therefore may override any similar flags set in HADOOP_OPTS
#
# export HDFS_NFS3_OPTS=""
# Specify the JVM options to be used when starting the Hadoop portmapper.
# These options will be appended to the options specified as HADOOP_OPTS
# and therefore may override any similar flags set in HADOOP_OPTS
#
# export HDFS_PORTMAP_OPTS="-Xmx512m"
# Supplemental options for priviliged gateways
# By default, Hadoop uses jsvc which needs to know to launch a
# server jvm.
# export HDFS_NFS3_SECURE_EXTRA_OPTS="-jvm server"
# On privileged gateways, user to run the gateway as after dropping privileges
# This will replace the hadoop.id.str Java property in secure mode.
# export HDFS_NFS3_SECURE_USER=nfsserver
###
# ZKFailoverController specific parameters
###
# Specify the JVM options to be used when starting the ZKFailoverController.
# These options will be appended to the options specified as HADOOP_OPTS
# and therefore may override any similar flags set in HADOOP_OPTS
#
# export HDFS_ZKFC_OPTS=""
###
# QuorumJournalNode specific parameters
###
# Specify the JVM options to be used when starting the QuorumJournalNode.
# These options will be appended to the options specified as HADOOP_OPTS
# and therefore may override any similar flags set in HADOOP_OPTS
#
# export HDFS_JOURNALNODE_OPTS=""
###
# HDFS Balancer specific parameters
###
# Specify the JVM options to be used when starting the HDFS Balancer.
# These options will be appended to the options specified as HADOOP_OPTS
# and therefore may override any similar flags set in HADOOP_OPTS
#
# export HDFS_BALANCER_OPTS=""
###
# HDFS Mover specific parameters
###
# Specify the JVM options to be used when starting the HDFS Mover.
# These options will be appended to the options specified as HADOOP_OPTS
# and therefore may override any similar flags set in HADOOP_OPTS
#
# export HDFS_MOVER_OPTS=""
###
# Router-based HDFS Federation specific parameters
# Specify the JVM options to be used when starting the RBF Routers.
# These options will be appended to the options specified as HADOOP_OPTS
# and therefore may override any similar flags set in HADOOP_OPTS
#
# export HDFS_DFSROUTER_OPTS=""
###
# HDFS StorageContainerManager specific parameters
###
# Specify the JVM options to be used when starting the HDFS Storage Container Manager.
# These options will be appended to the options specified as HADOOP_OPTS
# and therefore may override any similar flags set in HADOOP_OPTS
#
# export HDFS_STORAGECONTAINERMANAGER_OPTS=""
###
# Advanced Users Only!
###
#
# When building Hadoop, one can add the class paths to the commands
# via this special env var:
# export HADOOP_ENABLE_BUILD_PATHS="true"
#
# To prevent accidents, shell commands be (superficially) locked
# to only allow certain users to execute certain subcommands.
# It uses the format of (command)_(subcommand)_USER.
#
# For example, to limit who can execute the namenode command,
# export HDFS_NAMENODE_USER=hdfs
export HADOOP_LOG_DIR=/home/hadoop_repo/logs/hadoop
<configuration>
<property>
<name>dfs.replicationname>
<value>1value>
property>
configuration>
<configuration>
<property>
<name>mapreduce.framework.namename>
<value>yarnvalue>
property>
configuration>
<configuration>
<property>
<name>yarn.nodemanager.aux-servicesname>
<value>mapreduce_shufflevalue>
property>
<property>
<name>yarn.nodemanager.env-whitelistname>
<value>JAVA_HOME,HADOOP_COMMON_HOME,HADOOP_HDFS_HOME,HADOOP_CONF_DIR,CLASSPATH_PREPEND_DISTCACHE,HADOOP_YARN_HOME,HADOOP_MAPRED_HOMEvalue>
property>
configuration>
# 可改可不改
hadoop01
# 文件起始位置添加:
HDFS_DATANODE_USER=root
HDFS_DATANODE_SECURE_USER=hdfs
HDFS_NAMENODE_USER=root
HDFS_SECONDARYNAMENODE_USER=root
# 文起始位置添加:
YARN_RESOURCEMANAGER_USER=root
HADOOP_SECURE_DN_USER=yarn
YARN_NODEMANAGER_USER=root
# 文起始位置添加:
HDFS_DATA_NODE_USER=root
HDFS_DATANODE_SECURE_USER=hdfs
HDFS_NAMENODE_USER=root
HDFS_SECONDARYNAMENODE_USER=root
# 文起始位置添加:
YARN_RESOURCEMANAGER_USER=root
HADOOP_SECURE_DN_USER=yarn
YARN_NODEMANAGER_USER=root
# 启动
[root@hadoop01 hadoop-3.2.0]# sbin/start-all.sh
# 查看 ,如下即为启动成功
[root@hadoop01 hadoop]# jps
1573 DataNode
2053 ResourceManager
1800 SecondaryNameNode
2185 NodeManager
2765 Jps
1438 NameNode
# 若有某个进程启动失败可以在hadoop-env.sh中配置的log文件地址进行查看
通过页面访问查看服务启动情况:

root
- 修改stop-dfs.sh
```sh
# 文起始位置添加:
HDFS_DATA_NODE_USER=root
HDFS_DATANODE_SECURE_USER=hdfs
HDFS_NAMENODE_USER=root
HDFS_SECONDARYNAMENODE_USER=root
# 文起始位置添加:
YARN_RESOURCEMANAGER_USER=root
HADOOP_SECURE_DN_USER=yarn
YARN_NODEMANAGER_USER=root
# 启动
[root@hadoop01 hadoop-3.2.0]# sbin/start-all.sh
# 查看 ,如下即为启动成功
[root@hadoop01 hadoop]# jps
1573 DataNode
2053 ResourceManager
1800 SecondaryNameNode
2185 NodeManager
2765 Jps
1438 NameNode
# 若有某个进程启动失败可以在hadoop-env.sh中配置的log文件地址进行查看
通过页面访问查看服务启动情况:
[外链图片转存中…(img-x4JTpD49-1709539380291)]
