DolphinScheduler 简介及安装部署(集群)

2年前 (2022) 程序员胖胖胖虎阿
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一、 DolphinScheduler简介

1.1 DolphinScheduler概述

  Apache DolphinScheduler是一个分布式、易扩展的可视化DAG工作流任务调度平台。致力于解决数据处理流程中错综复杂的依赖关系,使调度系统在数据处理流程中开箱即用。

1.2 DolphinScheduler核心架构

DolphinScheduler的主要角色如下:

  • MasterServer 采用分布式无中心设计理念,MasterServer主要负责 DAG 任务切分、任务提交、任务监控,并同时监听其它MasterServer和WorkerServer的健康状态。
  • WorkerServer 也采用分布式无中心设计理念,WorkerServer主要负责任务的执行和提供日志服务。
  • ZooKeeper服务,系统中的MasterServer和WorkerServer节点都通过ZooKeeper来进行集群管理和容错。
  • Alert服务,提供告警相关服务。
  • API接口层,主要负责处理前端UI层的请求。
  • UI,系统的前端页面,提供系统的各种可视化操作界面。
    DolphinScheduler 简介及安装部署(集群)

二、DolphinScheduler部署说明

2.1 软硬件环境要求

2.1.1 操作系统版本要求

操作系统 版本
Red Hat Enterprise Linux 7.0 及以上
CentOS 7.0 及以上
Oracle Enterprise Linux 7.0 及以上
Ubuntu LTS 16.04 及以上

2.1.2 服务器硬件要求

CPU 内存 网络
4核+ 8 GB+ 千兆网卡

2.2 部署模式

DolphinScheduler支持多种部署模式,包括单机模式(Standalone)、伪集群模式(Pseudo-Cluster)、集群模式(Cluster)等。

2.2.1 单机模式

单机模式(standalone)模式下,所有服务均集中于一个StandaloneServer进程中,并且其中内置了注册中心Zookeeper和数据库H2。只需配置JDK环境,就可一键启动DolphinScheduler,快速体验其功能。

2.2.2 伪集群模式

伪集群模式(Pseudo-Cluster)是在单台机器部署 DolphinScheduler 各项服务,该模式下master、worker、api server、logger server等服务都只在同一台机器上。Zookeeper和数据库需单独安装并进行相应配置。

2.2.3 集群模式

集群模式(Cluster)与伪集群模式的区别就是在多台机器部署 DolphinScheduler各项服务,并且可以配置多个Master及多个Worker。

三、DolphinScheduler集群模式部署

3.1 集群规划

集群模式下,可配置多个Master及多个Worker。通常可配置2~3个Master,若干个Worker。由于集群资源有限,此处配置一个Master,三个Worker,集群规划如下。

节点 服务
hadoop102 master、worker
hadoop103 worker
hadoop104 worker

3.2 前置准备工作

1)三台节点均需部署JDK(1.8+),并配置相关环境变量。
2)需部署数据库,支持MySQL(5.7+)或者PostgreSQL(8.2.15+)。
3)需部署Zookeeper(3.4.6+)。
4)三台节点均需安装进程管理工具包psmisc

[atguigu@hadoop102 ~]$ sudo yum install -y psmisc
[atguigu@hadoop103 ~]$ sudo yum install -y psmisc
[atguigu@hadoop104 ~]$ sudo yum install -y psmisc

3.3 解压DolphinScheduler安装包

1)上传DolphinScheduler安装包到hadoop102节点的/opt/software目录
2)解压安装包到当前目录

[atguigu@hadoop102 software]$ tar -zxvf apache-dolphinscheduler-1.3.9-bin.tar.gz 

注:解压目录并非最终的安装目录

3.4 初始化数据库

DolphinScheduler 元数据存储在关系型数据库中,故需创建相应的数据库和用户。
1)创建数据库

mysql> CREATE DATABASE dolphinscheduler DEFAULT CHARACTER SET utf8 DEFAULT COLLATE utf8_general_ci;

2)创建用户

mysql> CREATE USER 'dolphinscheduler'@'%' IDENTIFIED BY 'dolphinscheduler';

注:
若出现以下错误信息,表明新建用户的密码过于简单。
ERROR 1819 (HY000): Your password does not satisfy the current policy requirements
可提高密码复杂度或者执行以下命令降低MySQL密码强度级别。

mysql> set global validate_password_length=4;
mysql> set global validate_password_policy=0;

3)赋予用户相应权限

mysql> GRANT ALL PRIVILEGES ON dolphinscheduler.* TO 'dolphinscheduler'@'%';
mysql> flush privileges;

4)修改数据源配置文件
进入DolphinScheduler解压目录

cd /opt/software/apache-dolphinscheduler-1.3.9-bin/

修改conf目录下的datasource.properties文件

vim conf/datasource.properties

修改内容如下

spring.datasource.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.url=jdbc:mysql://hadoop102:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8
spring.datasource.username=dolphinscheduler
spring.datasource.password=dolphinscheduler

5)拷贝MySQL驱动到DolphinScheduler的解压目录下的lib

cp /opt/software/mysql-connector-java-5.1.27-bin.jar lib/

6)执行数据库初始化脚本
数据库初始化脚本位于DolphinScheduler解压目录下的script目录中,即/opt/software/ds/apache-dolphinscheduler-1.3.9-bin/script/

script/create-dolphinscheduler.sh

3.5 配置一键部署脚本

修改解压目录下的conf/config目录下的install_config.conf文件

 vim conf/config/install_config.conf 

修改内容如下

# postgresql or mysql
dbtype="mysql"

# db config
# db address and port
dbhost="hadoop102:3306"

# db username
username="dolphinscheduler"

# database name
dbname="dolphinscheduler"

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

# zk cluster
zkQuorum="hadoop102:2181,hadoop103:2181,hadoop104:2181"

# Note: the target installation path for dolphinscheduler, please not config as the same as the current path (pwd)
installPath="/opt/module/dolphinscheduler"

# 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="atguigu"

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

# 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"

# 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://hadoop102:8020"

# resourcemanager port, the default value is 8088 if not specified
resourceManagerHttpAddressPort="8088"

# if resourcemanager HA is enabled, please set the HA IPs; if resourcemanager is single, keep this value empty
yarnHaIps=

# if resourcemanager HA is enabled or not use resourcemanager, please keep the default value; If resourcemanager is single, you only need to replace ds1 to actual resourcemanager hostname
singleYarnIp="hadoop103"

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

# 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="hadoop102,hadoop103,hadoop104"

# 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="hadoop102"

# run worker machine
# note: need to write the worker group name of each worker, the default value is "default"
workers="hadoop102:default,hadoop103:default,hadoop104:default"

# run alert machine
# note: list of machine hostnames for deploying alert server
alertServer="hadoop102"

# run api machine
# note: list of machine hostnames for deploying api server
apiServers="hadoop102"

3.6 一键部署DolphinScheduler

1)启动Zookeeper集群

zk.sh start

2)一键部署并启动DolphinScheduler

./install.sh 

3)查看DolphinScheduler进程

--------- hadoop102 ----------
29139 ApiApplicationServer
28963 WorkerServer
3332 QuorumPeerMain
2100 DataNode
28902 MasterServer
29081 AlertServer
1978 NameNode
29018 LoggerServer
2493 NodeManager
29551 Jps
--------- hadoop103 ----------
29568 Jps
29315 WorkerServer
2149 NodeManager
1977 ResourceManager
2969 QuorumPeerMain
29372 LoggerServer
1903 DataNode
--------- hadoop104 ----------
1905 SecondaryNameNode
27074 WorkerServer
2050 NodeManager
2630 QuorumPeerMain
1817 DataNode
27354 Jps
27133 LoggerServer

4)访问DolphinScheduler UI
DolphinScheduler UI地址为http://hadoop102:12345/dolphinscheduler
初始用户的用户名为:admin,密码为dolphinscheduler123

3.7 DolphinScheduler启停命令

DolphinScheduler的启停脚本均位于其安装目录的bin目录下。
1)一键启停所有服务

./bin/start-all.sh
./bin/stop-all.sh

注意同Hadoop的启停脚本进行区分。

2)启停 Master

./bin/dolphinscheduler-daemon.sh start master-server
./bin/dolphinscheduler-daemon.sh stop master-server

3)启停 Worker

./bin/dolphinscheduler-daemon.sh start worker-server
./bin/dolphinscheduler-daemon.sh stop worker-server

4)启停 Api

./bin/dolphinscheduler-daemon.sh start api-server
./bin/dolphinscheduler-daemon.sh stop api-server

5)启停 Logger

./bin/dolphinscheduler-daemon.sh start logger-server
./bin/dolphinscheduler-daemon.sh stop logger-server

6)启停 Alert

./bin/dolphinscheduler-daemon.sh start alert-server
./bin/dolphinscheduler-daemon.sh stop alert-server

版权声明:程序员胖胖胖虎阿 发表于 2022年10月3日 上午11:24。
转载请注明:DolphinScheduler 简介及安装部署(集群) | 胖虎的工具箱-编程导航

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