hadoop一键安装伪分布式

时间:2023-03-09 07:02:18
hadoop一键安装伪分布式

hadoop伪分布式和hive在openSUSE中的安装

在git上的路径为:https://github.com/huabingood/hadoop--------/tree/master

各个文件夹内容

一.lib文件夹,主要存放使用到的jar包

1. dom4j.jar 主要是用来解析xml文档的jar包
2. JavaStudy.jar 具体执行解析xml文档的jar包
3. mysql-connector-java-5.1.42-bin.jar hive中需要的Java连接MySQL数据库的驱动jar包

二.software文件夹,主要存放要安装的hadoop生态安装包

1. hadoop-2.6.0-cdh5.10.0.tar.gz CDH的hadoop安装包
2. hive-1.1.0-cdh5.10.0.tar.gz CDH的hive安装包

三.script文件夹,主要是一键安装的脚本

1. main.sh 主调函数,顺序执行安装步骤
2. install-env.sh 主要是安装需要用到的各种参数,比如安装目录,MySQL连接信息,xml配置信息等。有部分配置需要根据不同的机器进行修改。
3. functions.sh 安装步骤,主要是供main.sh调用的函数。不需要修改

如何执行

一.完成Linux环境的基本配置

1. 安装好Java
2. 安装好mysql
3. 停用防火墙
4. 配置网络,并能ping通外网
5. 设置好主机名

二.创建文件夹用于存放安装问价夹

1. root用户下修改/opt文件的权限
chown 用户名 /opt
2. 普通用户创建文件存放脚本的文件夹
mkdir /opt/install
3. 将安装文件夹放到刚才创建的文件夹中
4. 赋予脚本的执行权限
chmod 777 functions.sh install-env.sh main.sh

修改install-env.sh配置自己的安装环境

  1. 添加脚本的安装路径
  2. 添加MySQL的连接参数
  3. 给出要运行的Java的安装路径

main.sh代码

 #!/bin/bash

 source ./install-env.sh
source ./functions.sh # 创建文件安装路径
creatFile ${INSTALL_PATH}
# 创建hadoop临时文件夹的存放路径
mkdir -p ${HADOOP_TMP_DIR} # 解压hadoop,hive到安装目录下
myTar hadoop ${INSTALL_PATH}
myTar hive ${INSTALL_PATH} # 修改hadoop中非xml的配置文件
notXMLHadoop ${INSTALL_PATH} ${HADOOP_PROFILEPATH}
isSuccess $? "非XML修改成功" "非XML修改失败,请检查原因!!!" # 修改hadoop中xml的配置文件
alterHadoopXml "${coreSite[@]}"
alterHadoopXml "${hdfsSite[@]}" # 配置pid的文件路径
alterBashrc
isSuccess $? "bashrc修改成功" "bashrc修改失败,请检查原因!!!"
# 格式化NameNode
formatNameNode # 修改hive的的非xml配置文件
setHiveNotXML
isSuccess $? "非XML修改成功" "非XML修改失败,请检查原因!!!" # 修改hive的xml的配置文件hive-site.xml
alterHiveXml "${hiveSite[@]}" # 将Java的mysql的jar包驱动放到hive中的lib文件夹里面
hiveOver

install-env.sh代码

 #!/bin/bash

 INSTALL_PATH="/opt/hadoop"  # 请输入安装hadoop的绝对路径。改路径下应该没有内容!
# mysql的配置情况
mysqlIP="192.168.59.100"
mysqlPort=""
mysqlDatabase="hive_test"
mysqlUser="root"
mysqlPwd=""
mysqlConnetor="mysql-connector-java-5.1.42-bin.jar" # 这里存放自己的JAVA_HOME
MY_JAVA_HOME="/opt/softWare/jdk1.8.0_131" # 以下内容请不要修改!!!
HADOOP_PROFILEPATH="/etc/hadoop"
# hadoop临时文件的存放路径
HADOOP_TMP_DIR="${INSTALL_PATH}/tmp/hadoop"
HIVE_TMP_DIR="${INSTALL_PATH}/tmp/hive"
# 需要往一下文件中修改其中的JAVA_HOME
myArray=("hadoop-env.sh" "mapred-env.sh" "yarn-env.sh") # hadoop中需要修改的xml配置文件的文件名和修改属性
coreSite=("core-site.xml" "fs.defaultFS" "hdfs://`hostname`:9000" "hadoop.tmp.dir" "${HADOOP_TMP_DIR}")
hdfsSite=("hdfs-site.xml" "dfs.replication" "") # hive日志文件的存放路径
hiveLogs="${INSTALL_PATH}/tmp/hive_logs"
# hive-site.xml文件的配置
hiveSite=("hive-site.xml" "javax.jdo.option.ConnectionURL" "jdbc:mysql://${mysqlIP}:${mysqlPort}/${mysqlDatabase}?createDatabaseIfNotExist=true&useSSL=false&characterEncoding=utf8" "javax.jdo.option.ConnectionDriverName" "com.mysql.jdbc.Driver" "javax.jdo.option.ConnectionUserName" "${mysqlUser}" "javax.jdo.option.ConnectionPassword" "${mysqlPwd}" "hive.exec.scratchdir" "${HIVE_TMP_DIR}" "system:java.io.tmpdir" "${HIVE_TMP_DIR}" "hive.cli.print.header" "true" "hive.cli.print.current.db" "true" "hive.metastore.warehouse.dir" "/opt/hadoop/warehouse")

functions.sh代码

 #!/bin/bash

 source ./install-env.sh

 # 创建文件夹,并清空文件夹
function creatFile(){
if [ -e $ ]
then
echo "文件夹已经存在!将清空${1}!!!\n"
isContinue "清空${1}" "将要清空${1}"
rm -rf ${}/*
isSuccess $? "${1}清空成功,准备解压文件。" "${1}清空失败,请检查原因!!!"
else
mkdir ${1}
isSuccess $? "${1}创建成功,准备解压文件。" "${1}创建失败,请检查原因!!!"
fi
} # 询问是否继续进项操作
function isContinue(){
echo -e "\e[1;31m是否${1}【y/n】\e[0m"
read choose
if [ "${choose}" = "y" ] || [ "${choose}" = "yes" ] || [ "${choose}" = "Y" ] || [ "${choose}" = "YES" ]
then
echo -e "\e[1;31m${1}\e[0m"
else
exit
fi
} # 判断前一个操作是否成功,如果错误就全部推倒重来
function isSuccess(){
if [ $1 -eq 0 ]
then
echo "${2}"
else
echo -e "\e[1;31m${3}\e[0m"
rm -rf ${INSTALL_PATH}
exit
fi
} # 解压缩文件
function myTar(){
filePath=`find ../software -name ${1}* | awk -F "/" '{print $NF}'`
tar -zxvf ../software/${filePath} -C ${2} 1>>/dev/null 2>>/dev/null
isSuccess $? "${1}解压成功。" "${2}解压失败,请查找原因!!!"
} # 修改hadoop的非xml类的配置文件
function notXMLHadoop(){
filePath=`ls ${1} | grep hadoop`
mkdir ${HADOOP_TMP_DIR}/myPID for i in ${myArray[@]}
do
sed -i '/export JAVA_HOME=$/d' ${1}/${filePath}${2}/${i}
#sed -i "/export JAVA_HOME=${MY_JAVA_HOME}/d" ${1}/${filePath}${2}/${i}
sed -i "3a export JAVA_HOME=${MY_JAVA_HOME}" ${1}/${filePath}${2}/${i}
isSuccess $? "$i修改成功" "$i修改失败" done # 修改各个env.sh文件,修改pid文件存放的路径 sed -i "s@export HADOOP_PID_DIR=.*@HADOOP_PID_DIR=${HADOOP_TMP_DIR}/myPID@g" ${1}/${filePath}${2}/hadoop-env.sh # sed -i "/export HADOOP_MAPRED_PID_DIR=${HADOOP_TMP_DIR}\/myPID/d" ${1}/${filePath}${2}/mapred-env.sh
sed -i "4a export HADOOP_MAPRED_PID_DIR=${HADOOP_TMP_DIR}/myPID" ${1}/${filePath}${2}/mapred-env.sh # sed -i "/export YARN_PID_DIR=${HADOOP_TMP_DIR}\/myPID/d" ${1}/${filePath}${2}/yarn-env.sh
sed -i "4a export YARN_PID_DIR=${HADOOP_TMP_DIR}/myPID" ${1}/${filePath}${2}/yarn-env.sh # 修改slaves文件
sed -i "1a `hostname`" ${1}/${filePath}${2}/slaves
isSuccess $? "slaves修改成功" "slaves修改失败"
sed -i '1d' ${1}/${filePath}${2}/slaves
} # 修改hadoop中的xml类的配置文件
function alterHadoopXml(){ myArray=($@)
filePath=`ls ${INSTALL_PATH} | grep hadoop`
for ((i=1;i<${#myArray[@]};i+=2))
do
j=$((i+1))
java -jar ../lib/JavaStudy.jar /${INSTALL_PATH}/${filePath}${HADOOP_PROFILEPATH}/${myArray[0]} add ${myArray[$i]} ${myArray[$j]}
isSuccess $? "${myArray[0]}中的${myArray[$i]}修改成功" "${myArray[0]}中的${myArray[$i]}修改失败,请检查原因!!!"
done
} # 修改当前用户的.bashrc文件,添加hadoop中pid等配置的存放路径
function alterBashrc(){
bashrcPathe=~/.bashrc
mkdir ${HADOOP_TMP_DIR}/myPID
sed -i "/myPIDDir=/d" ${bashrcPathe}
sed -i "\$a myPIDDir=${HADOOP_TMP_DIR}/myPID" ${bashrcPathe}
sed -i "/export HADOOP_PID_DIR=${myPIDDir}/d" ${bashrcPathe}
sed -i '$a export HADOOP_PID_DIR=${myPIDDir}' ${bashrcPathe}
sed -i '/export YARN_PID_DIR=${myPIDDir}/d' ${bashrcPathe}
sed -i '$a export YARN_PID_DIR=${myPIDDir}' ${bashrcPathe}
sed -i '/export HADOOP_MAPRED_PID_DIR=${myPIDDir}/d' ${bashrcPathe}
sed -i '$a export HADOOP_MAPRED_PID_DIR=${myPIDDir}' ${bashrcPathe}
sed -i '/export HBASE_PID_DIR=${myPIDDir}/d' ${bashrcPathe}
sed -i '$a export HBASE_PID_DIR=${myPIDDir}' ${bashrcPathe} source ~/.bashrc
} # 格式化NameNode
function formatNameNode(){
filePath=`ls ${INSTALL_PATH} | grep hadoop`
${INSTALL_PATH}/${filePath}/bin/hdfs namenode -format 1>>/dev/null 2>>/dev/null
if [ $? -ne 0 ]
then
exit
fi
isSuccess $? "NameNode格式化成功!" "NameNode格式化失败,请查找原因!!!"
} # 配置好hive的配置文件
function setHiveNotXML(){
echo "开始修改hive的非xml配置文件"
filePath=`ls ${INSTALL_PATH} | grep hive`
cp ${INSTALL_PATH}/${filePath}/conf/hive-env.sh.template ${INSTALL_PATH}/${filePath}/conf/hive-env.sh
cp ${INSTALL_PATH}/${filePath}/conf/hive-exec-log4j.properties.template ${INSTALL_PATH}/${filePath}/conf/hive-exec-log4j.properties
cp ${INSTALL_PATH}/${filePath}/conf/hive-log4j.properties.template ${INSTALL_PATH}/${filePath}/conf/hive-log4j.properties
touch ${INSTALL_PATH}/${filePath}/conf/hive-site.xml
echo '<?xml version="1.0" encoding="UTF-8" standalone="no"?>' > ${INSTALL_PATH}/${filePath}/conf/hive-site.xml
sed -i '1a <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>' ${INSTALL_PATH}/${filePath}/conf/hive-site.xml
sed -i '2a <configuration>' ${INSTALL_PATH}/${filePath}/conf/hive-site.xml
sed -i '3a </configuration>' ${INSTALL_PATH}/${filePath}/conf/hive-site.xml
# 修改hive-env.sh
hadoopPath=`ls ${INSTALL_PATH} | grep hadoop`
sed -i "\$a HADOOP_HOME=${INSTALL_PATH}/${hadoopPath}" ${INSTALL_PATH}/${filePath}/conf/hive-env.sh
sed -i "\$a HIVE_CONF_DIR=${INSTALL_PATH}/${filePath}/conf" ${INSTALL_PATH}/${filePath}/conf/hive-env.sh
sed -i "\$a export JAVA_HOME=${MY_JAVA_HOME}" ${INSTALL_PATH}/${filePath}/conf/hive-env.sh # 修改hive-log4j.properties文件
mkdir ${hiveLogs}
sed -i "s@hive.log.dir=.*@hive.log.dir=${hiveLogs}@g" ${INSTALL_PATH}/${filePath}/conf/hive-log4j.properties
} # 修改hive的xml文件
function alterHiveXml(){
myArray=($@)
filePath=`ls ${INSTALL_PATH} | grep hive`
for ((i=1;i<${#myArray[@]};i+=2))
do
j=$((i+1))
java -jar ../lib/JavaStudy.jar /${INSTALL_PATH}/${filePath}/conf/${myArray[0]} add ${myArray[$i]} ${myArray[$j]}
isSuccess $? "${myArray[0]}中的${myArray[$i]}修改成功" "${myArray[0]}中的${myArray[$i]}修改失败,请检查原因!!!"
done
} # 创建hive的配置文件夹,并Java的mysql驱动jar包复制到hive中的lib文件夹中
function hiveOver(){
mkdir ${HIVE_TMP_DIR}
filePath=`ls ${INSTALL_PATH} | grep hive`
cp ../lib/${mysqlConnetor} ${INSTALL_PATH}/${filePath}/lib
isSuccess $? "hadoop与hive的伪分布式安装成功,just have fun!" "复制mysql的jar包失败,请检查原因!!!"
}

JavaStudy.jar代码

package com.huabingood;

import org.dom4j.Document;
import org.dom4j.DocumentException;
import org.dom4j.Element;
import org.dom4j.io.OutputFormat;
import org.dom4j.io.SAXReader;
import org.dom4j.io.XMLWriter; import java.io.*; /**
* Created by 杨华彬 on 2017/5/4.
*/
public class TestXML {
public static void main(String[] args) {
/*String[] args = new String[4];
args[0] = "D:\\core-site.xml";
args[1] = "add";
args[2] = "name";
args[3] = "1234567";*/ // 创建解析器,准备解析指定路径的xml文档
SAXReader saxReader = new SAXReader();
Document doc = null;
try {
doc = saxReader.read(new File(args[0]));
} catch (DocumentException e) {
e.printStackTrace();
} addNode(args, doc); write2XML(args[0], doc);
} /**
* 获取参数后,自动创建name和value节点,将根据传入的值设置name和value的值
*
* @param args 传递的是创建一个节点的参数。参数1表示xml文档的路径,
* 参数2表示是创建节点还是修改节点,参数3表示name节点的值,参数4表示
* value节点的值。
*/
public static void addNode(String[] args, Document doc) { // 获取根节点
Element root = doc.getRootElement();
// 创建根节点下的子节点
Element parentNode = root.addElement("property"); // 创建name和value节点
Element nameChild = parentNode.addElement("name");
nameChild.setText(args[2]);
Element valueChild = parentNode.addElement("value");
valueChild.setText(args[3]);
} /**
* 将修改内容写到文档中去
*
* @param file 修改的文件路径
* @param doc 前面传进来的xml文档对象模型。
*/
public static void write2XML(String file, Document doc) { // 设置排版格式为缩进格式,字符为utf-8
OutputFormat of = OutputFormat.createPrettyPrint();
of.setEncoding("utf-8"); // 创建写入流,准备写入对象
File myFile = new File(file);
OutputStreamWriter osw = null;
FileOutputStream fos = null;
try {
fos = new FileOutputStream(myFile);
osw = new OutputStreamWriter(fos, "utf-8");
} catch (FileNotFoundException e) {
e.printStackTrace();
} catch (Exception e) {
e.printStackTrace();
} XMLWriter xmlWriter = new XMLWriter(osw, of); // 开始写入内容
try {
xmlWriter.write(doc);
xmlWriter.flush(); } catch (IOException e) {
e.printStackTrace();
} finally {
try {
xmlWriter.close();
} catch (IOException e) {
e.printStackTrace();
}
} }
}