@ -34,252 +34,257 @@ fi
source ${ workDir } /conf/config/run_config.conf
source ${ workDir } /conf/config/install_config.conf
# mysql配置
# mysql 地址,端口
# mysql config
# mysql address and port
mysqlHost = "192.168.xx.xx:3306"
# mysql 数据库名称
# mysql database
mysqlDb = "escheduler"
# mysql 用户名
# mysql username
mysqlUserName = "xx"
# mysql 密码
# 注意：如果有特殊字符，请用 \ 转移符进行转移
# mysql passwprd
# Note: if there are special characters, please use the \ transfer character to transfer
mysqlPassword = "xx"
# conf/config/install_config.conf配置
# 注意：安装路径,不要当前路径(pwd)一样
# conf/config/install_config.conf config
# Note: the installation path is not the same as the current path (pwd)
installPath = "/data1_1T/escheduler"
# 部署用户
# 注意：部署用户需要有sudo权限及操作hdfs的权限，如果开启hdfs，根目录需要自行创建
# deployment user
# Note: the deployment user needs to have sudo privileges and permissions to operate hdfs. If hdfs is enabled, the root directory needs to be created by itself
deployUser = "escheduler"
# zk集群
# zk cluster
zkQuorum = "192.168.xx.xx:2181,192.168.xx.xx:2181,192.168.xx.xx:2181"
# 安装 hosts
# 注意：安装调度的机器hostname列表，如果是伪分布式，则只需写一个伪分布式hostname即可
# install hosts
# Note: install the scheduled hostname list. If it is pseudo-distributed, just write a pseudo-distributed hostname
ips = "ark0,ark1,ark2,ark3,ark4"
# conf/config/run_config.conf配置
# 运行Master的机器
# 注意：部署master的机器hostname列表
# conf/config/run_config.conf config
# run master machine
# Note: list of hosts hostname for deploying master
masters = "ark0,ark1"
# 运行Worker的机器
# 注意：部署worker的机器hostname列表
# run worker machine
# note: list of machine hostnames for deploying workers
workers = "ark2,ark3,ark4"
# 运行Alert的机器
# 注意：部署alert server的机器hostname列表
# run alert machine
# note: list of machine hostnames for deploying alert server
alertServer = "ark3"
# 运行Api的机器
# 注意：部署api server的机器hostname列表
# run api machine
# note: list of machine hostnames for deploying api server
apiServers = "ark1"
# alert配置
# 邮件协议
# alert config
# mail protocol
mailProtocol = "SMTP"
# 邮件服务 host
# mail server host
mailServerHost = "smtp.exmail.qq.com"
# 邮件服务端口
# mail server port
mailServerPort = "25"
# 发送人
# sender
mailSender = "xxxxxxxxxx"
# 发送人密码
# sender password
mailPassword = "xxxxxxxxxx"
# TLS邮件协议支持
# TLS mail protocol support
starttlsEnable = "false"
# SSL邮件协议支持
# 注意：默认开启的是SSL协议，TLS和SSL只能有一个处于true状态
# SSL mail protocol support
# note: The SSL protocol is enabled by default.
# only one of TLS and SSL can be in the true state.
sslEnable = "true"
# 下载Excel路径
# download excel path
xlsFilePath = "/tmp/xls"
# 企业微信企业ID配置
# Enterprise WeChat Enterprise ID Configuration
enterpriseWechatCorpId = "xxxxxxxxxx"
# 企业微信应用Secret配置
# Enterprise WeChat application Secret configuration
enterpriseWechatSecret = "xxxxxxxxxx"
# 企业微信应用AgentId配置
# Enterprise WeChat Application AgentId Configuration
enterpriseWechatAgentId = "xxxxxxxxxx"
# 企业微信用户配置,多个用户以,分割
# Enterprise WeChat user configuration, multiple users to , split
enterpriseWechatUsers = "xxxxx,xxxxx"
#是否启动监控自启动脚本
# whether to start monitoring self-starting scripts
monitorServerState = "false"
# 资源中心上传选择存储方式 ：HDFS,S3,NONE
# resource Center upload and select storage method ：HDFS,S3,NONE
resUploadStartupType = "NONE"
# 如果resUploadStartupType为HDFS，defaultFS写namenode地址，支持HA,需要将core-site.xml和hdfs-site.xml放到conf目录下
# 如果是S3，则写S3地址，比如说：s3a://escheduler，注意，一定要创建根目录/escheduler
# if resUploadStartupType is HDFS，defaultFS write namenode address，HA you need to put core-site.xml and hdfs-site.xml in the conf directory.
# if S3，write S3 address，HA，for example ：s3a://escheduler，
# Note，s3 be sure to create the root directory /escheduler
defaultFS = "hdfs://mycluster:8020"
# 如果配置了S3，则需要有以下配置
# if S3 is configured, the following configuration is required.
s3Endpoint = "http://192.168.xx.xx:9010"
s3AccessKey = "xxxxxxxxxx"
s3SecretKey = "xxxxxxxxxx"
# resourcemanager HA配置，如果是单resourcemanager,这里为 yarnHaIps=""
# resourcemanager HA configuration, if it is a single resourcemanager, here is yarnHaIps=""
yarnHaIps = "192.168.xx.xx,192.168.xx.xx"
# 如果是单 resourcemanager,只需要配置一个主机名称,如果是resourcemanager HA,则默认配置就好
# if it is a single resourcemanager, you only need to configure one host name. If it is resourcemanager HA, the default configuration is fine.
singleYarnIp = "ark1"
# hdfs根路径，根路径的owner必须是部署用户。1.1.0之前版本不会自动创建hdfs根目录，需要自行创建
# hdfs root path, the owner of the root path must be the deployment user.
# versions prior to 1.1.0 do not automatically create the hdfs root directory, you need to create it yourself.
hdfsPath = "/escheduler"
# 拥有在hdfs根路径/下创建目录权限的用户
# 注意：如果开启了kerberos，则直接hdfsRootUser=""，就可以
# have users who create directory permissions under hdfs root path /
# Note: if kerberos is enabled, hdfsRootUser="" can be used directly.
hdfsRootUser = "hdfs"
# common 配置
# 程序路径
# common config
# Program root path
programPath = "/tmp/escheduler"
#下载路径
# download path
downloadPath = "/tmp/escheduler/download"
# 任务执行路径
# task execute path
execPath = "/tmp/escheduler/exec"
# SHELL环境变量路径
# SHELL environmental variable path
shellEnvPath = " $installPath /conf/env/.escheduler_env.sh "
# 资源文件的后缀
# suffix of the resource file
resSuffixs = "txt,log,sh,conf,cfg,py,java,sql,hql,xml"
# 开发状态,如果是true,对于SHELL脚本可以在execPath目录下查看封装后的SHELL脚本,如果是false则执行完成直接删除
# development status, if true, for the SHELL script, you can view the encapsulated SHELL script in the execPath directory.
# If it is false, execute the direct delete
devState = "true"
# kerberos 配置
# kerberos 是否启动
# kerberos config
# kerberos whether to start
kerberosStartUp = "false"
# kdc krb5 配置文件路径
# kdc krb5 config file path
krb5ConfPath = " $installPath /conf/krb5.conf "
# keytab 用户名
# keytab username
keytabUserName = "hdfs-mycluster@ESZ.COM"
# 用户 keytab路径
# username keytab path
keytabPath = " $installPath /conf/hdfs.headless.keytab "
# zk 配置
# zk根目录
# zk config
# zk root directory
zkRoot = "/escheduler"
# 用来记录挂掉机器的zk目录
# used to record the zk directory of the hanging machine
zkDeadServers = "/escheduler/dead-servers"
# masters目录
zkMasters = "/escheduler/masters "
# masters directory
zkMasters = " $zkRoot /masters
# workers目录
zkWorkers = "/escheduler/workers "
# workers directory
zkWorkers = " $zkRoot /workers
# zk master分布式锁
mastersLock = "/escheduler/lock/masters "
# zk master distributed lock
mastersLock = " $zkRoot /lock/masters
# zk worker分布式锁
workersLock = "/escheduler/lock/workers "
# zk worker distributed lock
workersLock = " $zkRoot /lock/workers
# zk master容错分布式锁
mastersFailover = "/escheduler/lock/failover/masters "
# zk master fault-tolerant distributed lock
mastersFailover = " $zkRoot /lock/failover/masters
# zk worker容错分布式锁
workersFailover = "/escheduler/lock/failover/workers "
# zk worker fault-tolerant distributed lock
workersFailover = " $zkRoot /lock/failover/workers
# zk master启动容错分布式锁
mastersStartupFailover = "/escheduler/lock/failover/startup-masters "
# zk master start fault tolerant distributed lock
mastersStartupFailover = " $zkRoot /lock/failover/startup-masters
# zk session 超时
# zk session timeout
zkSessionTimeout = "300"
# zk 连接超时
# zk connection timeout
zkConnectionTimeout = "300"
# zk 重试间隔
# zk retry interval
zkRetrySleep = "100"
# zk重试最大次数
# zk retry maximum number of times
zkRetryMaxtime = "5"
# master 配置
# master执行线程最大数,流程实例的最大并行度
# master config
# master execution thread maximum number, maximum parallelism of process instance
masterExecThreads = "100"
# master任务执行线程最大数,每一个流程实例的最大并行度
# the maximum number of master task execution threads, the maximum degree of parallelism for each process instance
masterExecTaskNum = "20"
# master心跳间隔
# master heartbeat interval
masterHeartbeatInterval = "10"
# master任务提交重试次数
# master task submission retries
masterTaskCommitRetryTimes = "5"
# master任务提交重试时间间隔
# master task submission retry interval
masterTaskCommitInterval = "100"
# master最大cpu平均负载,用来判断master是否还有执行能力
# master maximum cpu average load, used to determine whether the master has execution capability
masterMaxCpuLoadAvg = "10"
# master预留内存,用来判断master是否还有执行能力
# master reserve memory to determine if the master has execution capability
masterReservedMemory = "1"
# worker 配置
# worker执行线程
# worker config
# worker execution thread
workerExecThreads = "100"
# worker心跳间隔
# worker heartbeat interval
workerHeartbeatInterval = "10"
# worker一次抓取任务数
# worker number of fetch tasks
workerFetchTaskNum = "3"
# worker最大cpu平均负载,用来判断worker是否还有执行能力,保持系统默认，默认为cpu核数的2倍，当负载达到2倍时，
# workerThe maximum cpu average load, used to determine whether the worker still has the ability to execute,
# keep the system default, the default is twice the number of cpu cores, when the load reaches 2 times
#workerMaxCupLoadAvg="10"
# worker预留内存,用来判断master是否还有执行能力
# worker reserve memory to determine if the master has execution capability
workerReservedMemory = "1"
# api 配置
# api 服务端口
# api config
# api server port
apiServerPort = "12345"
# api session 超时
# api session timeout
apiServerSessionTimeout = "7200"
# api 上下文路径
# api server context path
apiServerContextPath = "/escheduler/"
# spring 最大文件大小
# spring max file size
springMaxFileSize = "1024MB"
# spring 最大请求文件大小
# spring max request size
springMaxRequestSize = "1024MB"
# api 最大post请求大小
# api max http post size
apiMaxHttpPostSize = "5000000"
# 1,替换文件
echo "1,替换文件 "
# 1,replace file
echo "1,replace file "
sed -i ${ txt } " s#spring.datasource.url.*#spring.datasource.url=jdbc:mysql:// ${ mysqlHost } / ${ mysqlDb } ?characterEncoding=UTF-8#g " conf/dao/data_source.properties
sed -i ${ txt } " s#spring.datasource.username.*#spring.datasource.username= ${ mysqlUserName } #g " conf/dao/data_source.properties
sed -i ${ txt } " s#spring.datasource.password.*#spring.datasource.password= ${ mysqlPassword } #g " conf/dao/data_source.properties
@ -375,8 +380,8 @@ sed -i ${txt} "s#alertServer.*#alertServer=${alertServer}#g" conf/config/run_con
sed -i ${ txt } " s#apiServers.*#apiServers= ${ apiServers } #g " conf/config/run_config.conf
# 2,创建目录
echo "2,创建目录 "
# 2,create directory
echo "2,create directory "
if [ ! -d $installPath ] ; then
sudo mkdir -p $installPath
@ -387,22 +392,22 @@ hostsArr=(${ips//,/ })
for host in ${ hostsArr [@] }
do
# 如果programPath不存在,则创建
# create if programPath does not exist
if ! ssh $host test -e $programPath ; then
ssh $host " sudo mkdir -p $programPath ;sudo chown -R $deployUser : $deployUser $programPath "
fi
# 如果downloadPath不存在,则创建
# create if downloadPath does not exist
if ! ssh $host test -e $downloadPath ; then
ssh $host " sudo mkdir -p $downloadPath ;sudo chown -R $deployUser : $deployUser $downloadPath "
fi
# 如果$execPath不存在,则创建
# create if execPath does not exist
if ! ssh $host test -e $execPath ; then
ssh $host " sudo mkdir -p $execPath ; sudo chown -R $deployUser : $deployUser $execPath "
fi
# 如果$xlsFilePath不存在,则创建
# create if xlsFilePath does not exist
if ! ssh $host test -e $xlsFilePath ; then
ssh $host " sudo mkdir -p $xlsFilePath ; sudo chown -R $deployUser : $deployUser $xlsFilePath "
fi
@ -410,31 +415,31 @@ fi
done
# 3,停止服务
echo "3,停止服务 "
sh ${ workDir } /script/stop_ all.sh
# 3,stop server
echo "3,stop server "
sh ${ workDir } /script/stop- all.sh
# 4,删除zk节点
echo "4,删除zk节点 "
# 4,delete zk node
echo "4,delete zk node "
sleep 1
python ${ workDir } /script/del_zk_ node.py $zkQuorum $zkRoot
python ${ workDir } /script/del-zk- node.py $zkQuorum $zkRoot
# 5,scp资源
echo "5,scp资源 "
sh ${ workDir } /script/scp_ hosts.sh
# 5,scp resources
echo "5,scp resources "
sh ${ workDir } /script/scp- hosts.sh
if [ $? -eq 0 ]
then
echo 'scp拷贝完成 '
echo 'scp copy completed '
else
echo 'sc 拷贝失败退出 '
echo 'sc copy failed to exit '
exit -1
fi
# 6,启动
echo "6,启动 "
sh ${ workDir } /script/start_ all.sh
# 6,startup
echo "6,startup "
sh ${ workDir } /script/start- all.sh
# 7,启动监控自启动脚本
# 7,start monitoring self-starting script
monitor_pid = ${ workDir } /monitor_server.pid
if [ "true" = $monitorServerState ] ; then
if [ -f $monitor_pid ] ; then
@ -453,9 +458,8 @@ if [ "true" = $monitorServerState ];then
echo " monitor server running as process ${ TARGET_PID } .Stopped success "
rm -f $monitor_pid
fi
nohup python -u ${ workDir } /script/monitor_ server.py $installPath $zkQuorum $zkMasters $zkWorkers > ${ workDir } /monitor_ server.log 2>& 1 &
nohup python -u ${ workDir } /script/monitor- server.py $installPath $zkQuorum $zkMasters $zkWorkers > ${ workDir } /monitor- server.log 2>& 1 &
echo $! > $monitor_pid
echo " start monitor server success as process `cat $monitor_pid ` "
fi
fi
qiaozhanwei
5 years ago
committed by
lgcareer