如何在CDH5上部署Dolphin Scheduler 1.3.1

Eights

发布于 2020-07-16 15:19:11

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发布于 2020-07-16 15:19:11

文章被收录于专栏：Eights做数据Eights做数据

本文记录了在CDH5.16.2集群上集成Dolphin Scheduler 1.3.1的详细流程，特别注意一下MySQL数据库的连接串！

文档编写目的

详细记录CDH5上Dolphin Scheduler 1.3.1的部署流程
分布式部署Dolphin Scheduler

部署环境和依赖组件

为了适配CDH5上的Hive版本，需要对DS进行源码编译部署，最后会提供编译好的CDH5版本供各位老铁下载

集群环境

CDH 5.16.2
- HDFS和YARN都是单点
DS的官网
- https://dolphinscheduler.apache.org/en-us/

DS依赖组件

MySQL：用于存储dolphin scheduler的元数据，也可以使用pg，这里主要是因为CDH集群使用的是MySQL
Zookeeper：使用CDH集群的zk

Dolphin Scheduler 1.3.1集群规划

DS服务	master.eights.com	dn1.eights.com	dn2.eights.com
api		√
master	√	√
worker/log	√		√
alert		√

源码编译

前置条件

maven
jdk
nvm

代码拉取

git clone https://github.com/apache/incubator-dolphinscheduler.git

切换CDH5分支

git checkout 1.3.1-release;
git checkout -b ds-1.3.1-cdh5.16.2;

修改pom

修改根root的hadoop版本,hive版本和version信息，将每一个模块的version都调整为1.3.1-cdh5.16.2

<hadoop.version>2.6.0</hadoop.version>
<hive.jdbc.version>1.1.0</hive.jdbc.version>
<version>1.3.1-cdh5.16.2</version>

去除mysql包的scope

执行编译命令进行源码编译

mvn -U clean package -Prelease -Dmaven.test.skip=true

编译完成后，dolphinscheduler-dist目录会生成

apache-dolphinscheduler-incubating-1.3.1-cdh5.16.2-dolphinscheduler-bin.tar.gz包，1.3.1版本的前后端是打在一起的，并没有两个包.

组件部署

准备工作

创建部署用户及配置SSH免密

在所有部署机器上创建部署用户，ds在进行任务执行的时候会以sudo -u [linux-user]的方式来执行作业，这里采用dscheduler作为部署用户。

# 添加部署用户
useradd dscheduler;
# 设置密码
echo "dscheduler" | passwd --stdin dscheduler
# 配置免密
echo 'dscheduler ALL=(ALL) NOPASSWD: NOPASSWD: ALL' >> /etc/sudoers

# 切换到部署用户并生成ssh key
su dscheduler;
ssh-keygen -t rsa;
ssh-copy-id -i ~/.ssh/id_rsa.pub dscheduler@[hostname];

创建ds的元数据库-MySQL

CREATE DATABASE dolphinscheduler DEFAULT CHARACTER SET utf8 DEFAULT COLLATE
utf8_general_ci;
CREATE USER 'dscheduler'@'%' IDENTIFIED BY 'dscheduler';
GRANT ALL PRIVILEGES ON dolphinscheduler.* TO 'dscheduler'@'%' IDENTIFIED BY 'dscheduler';
flush privileges;

安装包解压&权限修改

上传安装包到集群/opt目录，执行解压

# 解压安装包
tar -zxvf apache-dolphinscheduler-incubating-1.3.1-cdh5.16.2-dolphinscheduler-bin.tar.gz -C /opt/

# 重命名
mv apache-dolphinscheduler-incubating-1.3.1-cdh5.16.2-dolphinscheduler-bin ds-1.3.1-cdh5.16.2

# 修改文件权限和组
chmod -R 755 ds-1.3.1-cdh5.16.2;
chown -R dscheduler:dscheduler ds-1.3.1-cdh5.16.2;

初始化MySQL

修改数据库配置

这里特别注意数据库的连接配置

vi /opt/ds-1.3.1-cdh5.16.2/conf/datasource.properties;

spring.datasource.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.url=jdbc:mysql://cm.eights.com:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8&allowMultiQueries=true
spring.datasource.username=dscheduler
spring.datasource.password=dscheduler

在ds的安装包目录下执行数据库初始化脚本

./script/create-dolphinscheduler.sh

配置ds所需的环境变量，这里记住一定要配，ds在执行任务的时候会先source dolphinscheduler_env.sh

vi /opt/ds-1.3.1-cdh5.16.2/conf/env/dolphinscheduler_env.sh

# 测试集群上没有datax和flink请忽略相关配置
export HADOOP_HOME=/opt/cloudera/parcels/CDH/lib/hadoop
export HADOOP_CONF_DIR=/opt/cloudera/parcels/CDH/lib/hadoop/etc/hadoop
export SPARK_HOME1=/opt/cloudera/parcels/CDH/lib/spark
export SPARK_HOME2=/opt/cloudera/parcels/SPARK2/lib/spark2
export PYTHON_HOME=/usr/local/anaconda3/bin/python
export JAVA_HOME=/usr/java/jdk1.8.0_131
export HIVE_HOME=/opt/cloudera/parcels/CDH/lib/hive
export FLINK_HOME=/opt/soft/flink
export DATAX_HOME=/opt/soft/datax/bin/datax.py

编写ds的配置文件

ds在1.3.0之前，一键部署的配置文件在install.sh中。1.3.0版本的install.sh脚本只是一个部署脚本，部署配置文件在conf/config/install_config.conf中。install_config.conf精简了很多非必须的参数，如果要进一步的进行参数调整，则需要去修改conf下对应模块的配置文件。

下面给出本次部署的集群部署配置

# NOTICE : If the following config has special characters in the variable `.*[]^${}\+?|()@#&`, Please escape, for example, `[` escape to `\[`
# postgresql or mysql
dbtype="mysql"

# db config
# db address and port
dbhost="cm.eights.com:3306"

# db username
username="dscheduler"

# database name
dbname="dolphinscheduler"

# db passwprd
# NOTICE: if there are special characters, please use the \ to escape, for example, `[` escape to `\[`
password="dscheduler"

# zk cluster
zkQuorum="master.eights.com:2181,dn1.eights.com:2181,cm.eights.com:2181"

# Note: the target installation path for dolphinscheduler, please not config as the same as the current path (pwd)
# 在每台部署机器上 安装ds的目录，角色的日志文件和任务日志都在这个目录下
installPath="/opt/ds-1.3.1-agent"

# 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="dscheduler"

# 邮件我这边是内网邮箱，后续会出外网邮件的配置方法
# alert config
# mail server host
mailServerHost="xxxx"

# mail server port
# note: Different protocols and encryption methods correspond to different ports, when SSL/TLS is enabled, make sure the port is correct.
mailServerPort="25"

# sender
mailSender="xxxx"

# user
mailUser="xxxx"

# sender password
# note: The mail.passwd is email service authorization code, not the email login password.
mailPassword="xxxx"

# TLS mail protocol support
starttlsEnable="false"

# SSL mail protocol support
# only one of TLS and SSL can be in the true state.
sslEnable="false"

#note: sslTrust is the same as mailServerHost
sslTrust="xxxxxx"


# resource storage type：HDFS,S3,NONE
resourceStorageType="HDFS"

# 单点的HDFS和yarn直接进行配置即可
# if resourceStorageType 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://dolphinscheduler，
# Note，s3 be sure to create the root directory /dolphinscheduler
defaultFS="hdfs://master.eights.com:8020"

# if resourceStorageType is S3, the following three configuration is required, otherwise please ignore
s3Endpoint="http://192.168.xx.xx:9010"
s3AccessKey="xxxxxxxxxx"
s3SecretKey="xxxxxxxxxx"

# 这里注意，即使yarn是单点也最好把yarnHaIps配上
# if resourcemanager HA enable, please type the HA ips ; if resourcemanager is single, make this value empty
yarnHaIps="master.eights.com"

# if resourcemanager HA enable or not use resourcemanager, please skip this value setting; If resourcemanager is single, you only need to replace yarnIp1 to actual resourcemanager hostname.
singleYarnIp="master.eights.com"

# resource store on HDFS/S3 path, resource file will store to this hadoop hdfs path, self configuration, please make sure the directory exists on hdfs and have read write permissions。/dolphinscheduler is recommended
resourceUploadPath="/dolphinscheduler"

# who have permissions to create directory under HDFS/S3 root path
# Note: if kerberos is enabled, please config hdfsRootUser=
hdfsRootUser="hdfs"

# kerberos config
# whether kerberos starts, if kerberos starts, following four items need to config, otherwise please ignore
kerberosStartUp="false"
# kdc krb5 config file path
krb5ConfPath="$installPath/conf/krb5.conf"
# keytab username
keytabUserName="hdfs-mycluster@ESZ.COM"
# username keytab path
keytabPath="$installPath/conf/hdfs.headless.keytab"


# api server port
apiServerPort="12345"


# install hosts
# Note: install the scheduled hostname list. If it is pseudo-distributed, just write a pseudo-distributed hostname
ips="master.eights.com,dn1.eights.com,dn2.eights.com"

# ssh port, default 22
# Note: if ssh port is not default, modify here
sshPort="22"

# run master machine
# Note: list of hosts hostname for deploying master
masters="master.eights.com,dn1.eights.com"

# run worker machine
# 1.3.1把worker分组从mysql移到了zookeeper中，这个需要打worker的标签
# 目前还不支持一个worker属于多个分组
# note: need to write the worker group name of each worker, the default value is "default"
workers="master.eights.com:default,dn2.eights.com:sqoop"

# run alert machine
# note: list of machine hostnames for deploying alert server
alertServer="dn1.eights.com"

# run api machine
# note: list of machine hostnames for deploying api server
apiServers="dn1.eights.com"

添加Hadoop集群配置文件

如果集群未启用HA，直接在install_config.conf文件中进行编写
如果集群启用了HA，请将hadoop的hdfs-site.xml和core-site.xml拷贝到/conf目录下

修改JVM参数

两个文件
- /bin/dolphinscheduler-daemon.sh
- /scripts/dolphinscheduler-daemon.sh

export DOLPHINSCHEDULER_OPTS="-server -Xmx16g -Xms1g -Xss512k
-XX:+DisableExplicitGC -XX:+UseConcMarkSweepGC -XX:+CMSParallelRemarkEnabled
-XX:LargePageSizeInBytes=128m -XX:+UseFastAccessorMethods
-XX:+UseCMSInitiatingOccupancyOnly -XX:CMSInitiatingOccupancyFraction=70"

一键部署&进程检查&单服务启停

# 运行部署ds脚本
sh install.sh

# 进程检查
jps

服务启停

# 一键停止
sh ./bin/stop-all.sh
# 一键开启
sh ./bin/start-all.sh
# 启停master
sh ./bin/dolphinscheduler-daemon.sh start master-server
sh ./bin/dolphinscheduler-daemon.sh stop master-server
# 启停worker
sh ./bin/dolphinscheduler-daemon.sh start worker-server
sh ./bin/dolphinscheduler-daemon.sh stop worker-server
# 启停api-server
sh ./bin/dolphinscheduler-daemon.sh start api-server
sh ./bin/dolphinscheduler-daemon.sh stop api-server
# 启停logger
sh ./bin/dolphinscheduler-daemon.sh start logger-server
sh ./bin/dolphinscheduler-daemon.sh stop logger-server
# 启停alert
sh ./bin/dolphinscheduler-daemon.sh start alert-server
sh ./bin/dolphinscheduler-daemon.sh stop alert-server