0x00 教程内容
- Dockerfile的编写
- Hadoop相关配置文件
- 构建脚本
- 启动脚本
0x01 Dockerfile的编写
1. Dockerfile文件
FROM ubuntu
MAINTAINER shaonaiyi [email protected]
ENV BUILD_ON 2017-10-12
RUN apt-get update -qqy
RUN apt-get -qqy install vim wget net-tools iputils-ping openssh-server
ADD ./jdk-8u161-linux-x64.tar.gz /usr/local/
ADD ./hadoop-2.7.5.tar.gz /usr/local
#增加JAVA_HOME环境变量
ENV JAVA_HOME /usr/local/jdk1.8.0_161
ENV HADOOP_HOME /usr/local/hadoop-2.7.5
ENV PATH $HADOOP_HOME/bin:$JAVA_HOME/bin:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar:$PATH
RUN ssh-keygen -t rsa -f ~/.ssh/id_rsa -P '' && \
cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys && \
chmod 600 ~/.ssh/authorized_keys
COPY config /tmp
RUN mv /tmp/ssh_config ~/.ssh/config && \
mv /tmp/hadoop-env.sh $HADOOP_HOME/etc/hadoop/hadoop-env.sh && \
mv /tmp/hdfs-site.xml $HADOOP_HOME/etc/hadoop/hdfs-site.xml && \
mv /tmp/core-site.xml $HADOOP_HOME/etc/hadoop/core-site.xml && \
mv /tmp/yarn-site.xml $HADOOP_HOME/etc/hadoop/yarn-site.xml && \
mv /tmp/mapred-site.xml $HADOOP_HOME/etc/hadoop/mapred-site.xml && \
mv /tmp/master $HADOOP_HOME/etc/hadoop/master && \
mv /tmp/slaves $HADOOP_HOME/etc/hadoop/slaves && \
mv /tmp/start-hadoop.sh ~/start-hadoop.sh && \
mkdir -p /usr/local/hadoop2.7/dfs/data && \
mkdir -p /usr/local/hadoop2.7/dfs/name
RUN echo $JAVA_HOME
WORKDIR /root
RUN /etc/init.d/ssh start
CMD ["/bin/bash"]
0x02 Hadoop相关配置文件
1. ssh_config
Host localhost
StrictHostKeyChecking no
Host 0.0.0.0
StrictHostKeyChecking no
Host hadoop-*
StrictHostKeyChecking no
2. profile
# /etc/profile: system-wide .profile file for the Bourne shell (sh(1))
# and Bourne compatible shells (bash(1), ksh(1), ash(1), ...).
if [ "$PS1" ]; then
if [ "$BASH" ] && [ "$BASH" != "/bin/sh" ]; then
# The file bash.bashrc already sets the default PS1.
# PS1='\h:\w\$ '
if [ -f /etc/bash.bashrc ]; then
. /etc/bash.bashrc
fi
else
if [ "`id -u`" -eq 0 ]; then
PS1='# '
else
PS1='$ '
fi
fi
fi
if [ -d /etc/profile.d ]; then
for i in /etc/profile.d/*.sh; do
if [ -r $i ]; then
. $i
fi
done
unset i
fi
export JAVA_HOME=/usr/local/jdk1.8.0_161
export SCALA_HOME=/usr/local/scala-2.11.8
export HADOOP_HOME=/usr/local/hadoop-2.7.5
export SPARK_HOME=/usr/local/spark-2.2.0-bin-hadoop2.7
export PATH=$JAVA_HOME/bin:$SCALA_HOME/bin:$HADOOP_HOME/bin:$SPARK_HOME/bin:$PATH
3. 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=/usr/local/jdk1.8.0_161
# 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 HADOOP_NAMENODE_OPTS="-Dhadoop.security.logger=${HADOOP_SECURITY_LOGGER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HADOOP_NAMENODE_OPTS"
export HADOOP_DATANODE_OPTS="-Dhadoop.security.logger=ERROR,RFAS $HADOOP_DATANODE_OPTS"
export HADOOP_SECONDARYNAMENODE_OPTS="-Dhadoop.security.logger=${HADOOP_SECURITY_LOGGER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HADOOP_SECONDARYNAMENODE_OPTS"
export HADOOP_NFS3_OPTS="$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 $HADOOP_JAVA_PLATFORM_OPTS"
# On secure datanodes, user to run the datanode as after dropping privileges.
# This **MUST** be uncommented to enable secure HDFS if using privileged ports
# to provide authentication of data transfer protocol. This **MUST NOT** be
# defined if SASL is configured for authentication of data transfer protocol
# using non-privileged ports.
export HADOOP_SECURE_DN_USER=${HADOOP_SECURE_DN_USER}
# Where log files are stored. $HADOOP_HOME/logs by default.
#export HADOOP_LOG_DIR=${HADOOP_LOG_DIR}/$USER
# Where log files are stored in the secure data environment.
export HADOOP_SECURE_DN_LOG_DIR=${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
4. core-site.xml
fs.defaultFS
hdfs://hadoop-maste:9000/
hadoop.tmp.dir
file:/usr/local/hadoop/tmp
hadoop.proxyuser.root.hosts
*
hadoop.proxyuser.root.groups
*
hadoop.proxyuser.oozie.hosts
*
hadoop.proxyuser.oozie.groups
*
5. hdfs-site.xml
dfs.namenode.name.dir
file:/usr/local/hadoop2.7/dfs/name
dfs.datanode.data.dir
file:/usr/local/hadoop2.7/dfs/data
dfs.webhdfs.enabled
true
dfs.replication
2
dfs.permissions.enabled
false
6. master
hadoop-maste
7. slaves
hadoop-node1
hadoop-node2
8. mapred-site.xml
mapreduce.framework.name
yarn
mapreduce.jobhistory.address
hadoop-maste:10020
mapreduce.map.memory.mb
4096
mapreduce.reduce.memory.mb
8192
yarn.app.mapreduce.am.staging-dir
/stage
mapreduce.jobhistory.done-dir
/mr-history/done
mapreduce.jobhistory.intermediate-done-dir
/mr-history/tmp
9. yarn-site.xml
yarn.nodemanager.aux-services
mapreduce_shuffle
yarn.nodemanager.aux-services.mapreduce_shuffle.class
org.apache.hadoop.mapred.ShuffleHandler
yarn.resourcemanager.hostname
hadoop-maste
yarn.resourcemanager.address
hadoop-maste:8032
yarn.resourcemanager.scheduler.address
hadoop-maste:8030
yarn.resourcemanager.resource-tracker.address
hadoop-maste:8035
yarn.resourcemanager.admin.address
hadoop-maste:8033
yarn.resourcemanager.webapp.address
hadoop-maste:8088
yarn.log-aggregation-enable
true
yarn.nodemanager.vmem-pmem-ratio
5
yarn.nodemanager.resource.memory-mb
22528
每个节点可用内存,单位MB
yarn.scheduler.minimum-allocation-mb
4096
单个任务可申请最少内存，默认1024MB
yarn.scheduler.maximum-allocation-mb
16384
单个任务可申请最大内存，默认8192MB
0x03 构建脚本
1. 构建容器网络脚本(build.sh)
echo create network
docker network create --subnet=172.20.0.0/16 bigdata
echo create success
docker network ls
2. 构建容器脚本(build_network.sh)
echo build hadoop images
docker build -t="hadoop" .
0x04 启动脚本
1. 启动容器(start_containers.sh)
echo start hadoop-maste container...
docker rm -f hadoop-master &> /dev/null
docker run -itd --restart=always \--net bigdata \--ip 172.20.0.2 \--privileged \-p 18032:8032 \-p 28080:18080 \-p 29888:19888 \-p 17077:7077 \-p 51070:50070 \-p 18088:8088 \-p 19000:9000 \-p 11100:11000 \-p 51030:50030 \-p 18050:8050 \-p 18081:8081 \-p 18900:8900 \--name hadoop-maste \
--hostname hadoop-maste \--add-host hadoop-node1:172.20.0.3 \--add-host hadoop-node2:172.20.0.4 shaonaiyi/hadoop /bin/bash
echo "start hadoop-node1 container..."
docker run -itd --restart=always \--net bigdata \--ip 172.20.0.3 \--privileged \-p 18042:8042 \-p 51010:50010 \-p 51020:50020 \--name hadoop-node1 \--hostname hadoop-node1 \--add-host hadoop-maste:172.20.0.2 \--add-host hadoop-node2:172.20.0.4 shaonaiyi/hadoop /bin/bash
echo "start hadoop-node2 container..."
docker run -itd --restart=always \--net bigdata \--ip 172.20.0.4 \--privileged \-p 18043:8042 \-p 51011:50011 \-p 51021:50021 \--name hadoop-node2 \--hostname hadoop-node2 --add-host hadoop-maste:172.20.0.2 \--add-host hadoop-node1:172.20.0.3 shaonaiyi/hadoop /bin/bash
echo start sshd...
docker exec -it hadoop-maste /etc/init.d/ssh start
docker exec -it hadoop-node1 /etc/init.d/ssh start
docker exec -it hadoop-node2 /etc/init.d/ssh start
echo finished
docker ps
2. 停止容器(start_containers.sh)
docker stop hadoop-maste
docker stop hadoop-node1
docker stop hadoop-node2
echo stop containers
docker rm hadoop-maste
docker rm hadoop-node1
docker rm hadoop-node2
echo rm containers
docker ps
3. 启动Hadoop集群(start_hadoop.sh)
docker stop hadoop-maste
docker stop hadoop-node1
docker stop hadoop-node2
echo stop containers
docker rm hadoop-maste
docker rm hadoop-node1
docker rm hadoop-node2
echo rm containers
docker ps
0xFF 总结
- 本篇教程为Docker搭建Hadoop大数据集群的资源篇，适合有基础的同学，没有基础也没关系。请继续学习：D001.7 Docker搭建Hadoop集群（实践篇）
-
目录结构如下：
在这里插入图片描述 -
config文件夹如下：
在这里插入图片描述 - 常规安装请查看教程：Hadoop核心组件之HDFS的安装与配置
- 如需要获取资源，除了参考本博文，还可以加微信：shaonaiyi888获取
**作者简介：邵奈一
大学大数据讲师、大学市场洞察者、专栏编辑**
公众号、微博、CSDN：邵奈一
本系列课均为本人：邵奈一 原创，如转载请标明出处