CentOS6安装Hadoop-3.3.0
首先从官网下载hadoop
https://mirror.bit.edu.cn/apache/hadoop/common/hadoop-3.3.0/
将tar包上传到虚拟机
tar -zxvf hadoop-3.3.0.tar.gz -C /new/software/
cd /new/software/hadoop-3.3.0/
cd /new/software/hadoop-3.3.0/etc/hadoop
vim core-site.xml
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!-- Licensed 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. See accompanying LICENSE file. -->
<!-- Put site-specific property overrides in this file. -->
<configuration>
<!--指定集群的文件系统类型:分布式文件系统,指定NameNode的地址 -->
<property>
<name>fs.defaultFS</name>
<value>hdfs://yts1:8020</value>
</property>
<!--指定临时文件存储目录 -->
<property>
<name>hadoop.tmp.dir</name>
<value>/export/installed/hadoop-2.6.0-cdh5.14.0/hadoopDatas/tempDatas</value>
</property>
<!-- 缓冲区大小,实际工作中根据服务器性能动态调整 -->
<property>
<name>io.file.buffer.size</name>
<value>4096</value>
</property>
<!-- 开启hdfs的垃圾桶机制,删除掉的数据可以从垃圾桶中回收,单位分钟 -->
<property>
<name>fs.trash.interval</name>
<value>10080</value>
</property>
<!-- hadoop.proxyuser.root.hosts 允许通过httpfs方式访问hdfs的主机名、域名; hadoop.proxyuser.root.groups允许访问的客户端的用户组 -->
<property>
<name>hadoop.proxyuser.root.hosts</name>
<value>*</value>
</property>
<property>
<name>hadoop.proxyuser.root.groups</name>
<value>*</value>
</property>
</configuration>
vim hdfs-site.xml
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!-- Licensed 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. See accompanying LICENSE file. -->
<!-- Put site-specific property overrides in this file. -->
<configuration>
<!--指定namenode的访问地址和网页端口-->
<property>
<name>dfs.namenode.secondary.http-address</name>
<value>yts1:50090</value>
</property>
<!-- 指定namenode的访问地址和端口 -->
<property>
<name>dfs.namenode.http-address</name>
<value>yts1:50070</value>
</property>
<!-- 指定namenode元数据的本地文件存放位置 -->
<property>
<name>dfs.namenode.name.dir</name>
<value>file:///new/software/hadoop-3.3.0/hadoopDatas/namenodeDatas,file:///new/software/hadoop-3.3.0/hadoopDatas/namenodeDatas2</value>
</property>
<!-- 定义dataNode数据存储的节点位置,实际工作中,一般先确定磁盘的挂载目录,然后多个目录用,进行分割 -->
<property>
<name>dfs.datanode.data.dir</name>
<value>file:///new/software/hadoop-3.3.0/hadoopDatas/datanodeDatas,file:///new/software/hadoop-3.3.0/hadoopDatas/datanodeDatas2</value>
</property>
<!-- 指定namenode日志文件的存放目录 -->
<property>
<name>dfs.namenode.edits.dir</name>
<value>file:///new/software/hadoop-3.3.0/hadoopDatas/nn/edits</value>
</property>
<property>
<name>dfs.namenode.checkpoint.dir</name>
<value>file:///new/software/hadoop-3.3.0/hadoopDatas/snn/name</value>
</property>
<property>
<name>dfs.namenode.checkpoint.edits.dir</name>
<value>file:///new/software/hadoop-3.3.0/hadoopDatas/dfs/snn/edits</value>
</property>
<!-- 文件切片的副本个数-->
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
<!-- 设置HDFS的文件权限-->
<property>
<name>dfs.permissions.enabled</name>
<value>false</value>
</property>
<!-- 设置一个文件切片的大小:128M-->
<property>
<name>dfs.blocksize</name>
<value>134217728</value>
</property>
<property>
<name>dfs.webhdfs.enabled</name>
<value>true</value>
</property>
</configuration>
vim mapred-site.xml
<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!-- Licensed 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. See accompanying LICENSE file. -->
<!-- Put site-specific property overrides in this file. -->
<configuration>
<!-- 开启MapReduce小任务模式 -->
<property>
<name>mapreduce.job.ubertask.enable</name>
<value>true</value>
</property>
<!-- 指定MapReduce运行在YARN上 -->
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<!-- 设置历史任务的主机和端口 -->
<property>
<name>mapreduce.jobhistory.address</name>
<value>yts1:10020</value>
</property>
<!-- 设置网页访问历史任务的主机和端口 -->
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>yts1:19888</value>
</property>
</configuration>
vim yarn-site.xml
<?xml version="1.0"?>
<!-- Licensed 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. See accompanying LICENSE file. -->
<configuration>
<!-- 配置yarn主节点的位置 -->
<property>
<name>yarn.resourcemanager.hostname</name>
<value>yts1</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<!-- 开启日志聚合功能 -->
<property>
<name>yarn.log-aggregation-enable</name>
<value>true</value>
<property>
<name>yarn.log.server.url</name>
<value>http://yts1:19888/jobhistory/logs</value>
</property>
</property>
<!-- 设置聚合日志在hdfs上的保存时间 -->
<property>
<name>yarn.log-aggregation.retain-seconds</name>
<value>604800</value>
</property>
<!-- 设置yarn集群的内存分配方案 -->
<property>
<name>yarn.nodemanager.resource.memory-mb</name>
<value>20480</value>
</property>
<property>
<name>yarn.scheduler.minimum-allocation-mb</name>
<value>2048</value>
</property>
<property>
<name>yarn.nodemanager.vmem-pmem-ratio</name>
<value>2.1</value>
</property>
<property>
<name>yarn.nodemanager.vmem-check-enabled</name>
<value>false</value>
</property>
</configuration>
cp hadoop-env.sh hadoop-env.sh.bak
vim hadoop-env.sh
# 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.
# The only required environment variable is JAVA_HOME. All others are
# optional. When running a distributed configuration it is best to
# set JAVA_HOME in this file, so that it is correctly defined on
# remote nodes.
# The java implementation to use.
export JAVA_HOME=/new/software/jdk1.8.0_141
# 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=${JSVC_HOME}
export HADOOP_CONF_DIR=${HADOOP_CONF_DIR:-"/etc/hadoop"}
# Extra Java CLASSPATH elements. Automatically insert capacity-scheduler.
for f in $HADOOP_HOME/contrib/capacity-scheduler/*.jar; do
if [ "$HADOOP_CLASSPATH" ]; then
export HADOOP_CLASSPATH=$HADOOP_CLASSPATH:$f
else
export HADOOP_CLASSPATH=$f
fi
done
# The maximum amount of heap to use, in MB. Default is 1000.
#export HADOOP_HEAPSIZE=
#export HADOOP_NAMENODE_INIT_HEAPSIZE=""
# Extra Java runtime options. Empty by default.
export HADOOP_OPTS="$HADOOP_OPTS -Djava.net.preferIPv4Stack=true"
# Command specific options appended to HADOOP_OPTS when specified
export HDFS_NAMENODE_OPTS="-Dhadoop.security.logger=${HADOOP_SECURITY_LOGGER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HDFS_NAMENODE_OPTS"
export HDFS_DATANODE_OPTS="-Dhadoop.security.logger=ERROR,RFAS $HDFS_DATANODE_OPTS"
export HDFS_SECONDARYNAMENODE_OPTS="-Dhadoop.security.logger=${HADOOP_SECURITY_LOGGER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HDFS_SECONDARYNAMENODE_OPTS"
export HADOOP_NFS3_OPTS="$HADOOP_NFS3_OPTS"
export HADOOP_PORTMAP_OPTS="-Xmx512m $HADOOP_PORTMAP_OPTS"
# The following applies to multiple commands (fs, dfs, fsck, distcp etc)
export HADOOP_CLIENT_OPTS="-Xmx512m $HADOOP_CLIENT_OPTS"
#HADOOP_JAVA_PLATFORM_OPTS="-XX:-UsePerfData $HADOOP_JAVA_PLATFORM_OPTS"
# On secure datanodes, user to run the datanode as after dropping privileges.
# This **MUST** be uncommented to enable secure HDFS if using privileged ports
# to provide authentication of data transfer protocol. This **MUST NOT** be
# defined if SASL is configured for authentication of data transfer protocol
# using non-privileged ports.
export HDFS_DATANODE_SECURE_USER=${HDFS_DATANODE_SECURE_USER}
# Where log files are stored. $HADOOP_HOME/logs by default.
#export HADOOP_LOG_DIR=${HADOOP_LOG_DIR}/$USER
# Where log files are stored in the secure data environment.
export HADOOP_SECURE_LOG_DIR=${HADOOP_LOG_DIR}/${HADOOP_HDFS_USER}
###
# HDFS Mover specific parameters
###
# Specify the JVM options to be used when starting the HDFS Mover.
# These options will be appended to the options specified as HADOOP_OPTS
# and therefore may override any similar flags set in HADOOP_OPTS
#
# export HADOOP_MOVER_OPTS=""
###
# Advanced Users Only!
###
# The directory where pid files are stored. /tmp by default.
# NOTE: this should be set to a directory that can only be written to by
# the user that will run the hadoop daemons. Otherwise there is the
# potential for a symlink attack.
export HADOOP_PID_DIR=${HADOOP_PID_DIR}
export HADOOP_SECURE_DN_PID_DIR=${HADOOP_PID_DIR}
# A string representing this instance of hadoop. $USER by default.
export HADOOP_IDENT_STRING=$USER
cp yarn-env.sh yarn-env.sh.bak
vim yarn-env.sh
# 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.
# User for YARN daemons
export HADOOP_YARN_USER=${HADOOP_YARN_USER:-yarn}
# resolve links - $0 may be a softlink
export HADOOP_CONF_DIR="${HADOOP_CONF_DIR:-$HADOOP_YARN_HOME/etc/hadoop/}"
# some Java parameters
export JAVA_HOME=/new/software/jdk1.8.0_141
if [ "$JAVA_HOME" != "" ]; then
#echo "run java in $JAVA_HOME"
JAVA_HOME=/new/software/jdk1.8.0_141
fi
if [ "$JAVA_HOME" = "" ]; then
echo "Error: JAVA_HOME is not set."
exit 1
fi
JAVA=$JAVA_HOME/bin/java
JAVA_HEAP_MAX=-Xmx1000m
# For setting YARN specific HEAP sizes please use this
# Parameter and set appropriately
# YARN_HEAPSIZE=1000
# check envvars which might override default args
if [ "$YARN_HEAPSIZE" != "" ]; then
JAVA_HEAP_MAX="-Xmx""$YARN_HEAPSIZE""m"
fi
# Resource Manager specific parameters
# Specify the max Heapsize for the ResourceManager using a numerical value
# in the scale of MB. For example, to specify an jvm option of -Xmx1000m, set
# the value to 1000.
# This value will be overridden by an Xmx setting specified in either HADOOP_OPTS
# and/or YARN_RESOURCEMANAGER_OPTS.
# If not specified, the default value will be picked from either YARN_HEAPMAX
# or JAVA_HEAP_MAX with YARN_HEAPMAX as the preferred option of the two.
#export YARN_RESOURCEMANAGER_HEAPSIZE=1000
# Specify the max Heapsize for the timeline server using a numerical value
# in the scale of MB. For example, to specify an jvm option of -Xmx1000m, set
# the value to 1000.
# This value will be overridden by an Xmx setting specified in either HADOOP_OPTS
# and/or YARN_TIMELINESERVER_OPTS.
# If not specified, the default value will be picked from either YARN_HEAPMAX
# or JAVA_HEAP_MAX with YARN_HEAPMAX as the preferred option of the two.
#export YARN_TIMELINESERVER_HEAPSIZE=1000
# Specify the JVM options to be used when starting the ResourceManager.
# These options will be appended to the options specified as HADOOP_OPTS
# and therefore may override any similar flags set in HADOOP_OPTS
#export YARN_RESOURCEMANAGER_OPTS=
# Node Manager specific parameters
# Specify the max Heapsize for the NodeManager using a numerical value
# in the scale of MB. For example, to specify an jvm option of -Xmx1000m, set
# the value to 1000.
# This value will be overridden by an Xmx setting specified in either YARN_OPTS
# and/or YARN_NODEMANAGER_OPTS.
# If not specified, the default value will be picked from either YARN_HEAPMAX
# or JAVA_HEAP_MAX with YARN_HEAPMAX as the preferred option of the two.
#export YARN_NODEMANAGER_HEAPSIZE=1000
# Specify the JVM options to be used when starting the NodeManager.
# These options will be appended to the options specified as YARN_OPTS
# and therefore may override any similar flags set in YARN_OPTS
#export YARN_NODEMANAGER_OPTS=
# so that filenames w/ spaces are handled correctly in loops below
IFS=
# default log directory & file
if [ "$HADOOP_LOG_DIR" = "" ]; then
HADOOP_LOG_DIR="$HADOOP_YARN_HOME/logs"
fi
if [ "$HADOOP_LOGFILE" = "" ]; then
HADOOP_LOGFILE='yarn.log'
fi
# default policy file for service-level authorization
if [ "$YARN_POLICYFILE" = "" ]; then
YARN_POLICYFILE="hadoop-policy.xml"
fi
# restore ordinary behaviour
unset IFS
HADOOP_OPTS="$HADOOP_OPTS -Dhadoop.log.dir=$HADOOP_LOG_DIR"
HADOOP_OPTS="$HADOOP_OPTS -Dyarn.log.dir=$HADOOP_LOGFILE"
HADOOP_OPTS="$HADOOP_OPTS -Dhadoop.log.file=$HADOOP_LOGFILE"
HADOOP_OPTS="$HADOOP_OPTS -Dyarn.log.file=$HADOOP_LOGFILE"
HADOOP_OPTS="$HADOOP_OPTS -Dyarn.home.dir=$YARN_COMMON_HOME"
HADOOP_OPTS="$HADOOP_OPTS -Dyarn.id.str=$YARN_IDENT_STRING"
HADOOP_OPTS="$HADOOP_OPTS -Dhadoop.root.logger=${YARN_ROOT_LOGGER:-INFO,console}"
HADOOP_OPTS="$HADOOP_OPTS -Dyarn.root.logger=${YARN_ROOT_LOGGER:-INFO,console}"
if [ "x$JAVA_LIBRARY_PATH" != "x" ]; then
HADOOP_OPTS="$HADOOP_OPTS -Djava.library.path=$JAVA_LIBRARY_PATH"
fi
HADOOP_OPTS="$HADOOP_OPTS -Dyarn.policy.file=$YARN_POLICYFILE"
vim workers
yts1
yts2
yts3
cd /new/software/
scp -r ./hadoop-3.3.0/ yts2:/new/software/
scp -r ./hadoop-3.3.0/ yts3:/new/software/
vim /etc/profile
添加hadoop路径
#hadoop
export HADOOP_HOME=/new/software/hadoop-3.3.0
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
export HADOOP_CONF_DIR=/new/software/hadoop-3.3.0/etc/hadoop
scp /etc/profile yts2:/etc/profile
scp /etc/profile yts3:/etc/profile
#对三台机器使用命令 source
source /etc/profile
mkdir
mkdir -p /new/software/hadoop-3.3.0/hadoopDatas/namenodeDatas
mkdir -p /new/software/hadoop-3.3.0/hadoopDatas/namenodeDatas2
mkdir -p /new/software/hadoop-3.3.0/hadoopDatas/datanodeDatas
mkdir -p /new/software/hadoop-3.3.0/hadoopDatas/datanodeDatas2
mkdir -p /new/software/hadoop-3.3.0/hadoopDatas/nn/edits
mkdir -p /new/software/hadoop-3.3.0/hadoopDatas/snn/name
mkdir -p /new/software/hadoop-3.3.0/hadoopDatas/dfs/snn/edits
vim start-dfs.sh & stop-dfs.sh
HDFS_DATANODE_USER=root
HDFS_DATANODE_SECURE_USER=hdfs
HDFS_NAMENODE_USER=root
HDFS_SECONDARYNAMENODE_USER=root
vim start-yarn.sh & stop-yarn.sh
YARN_RESOURCEMANAGER_USER=root
HDFS_DATANODE_SECURE_USER=yarn
YARN_NODEMANAGER_USER=root