DolphinScheduler部署安装or基础介绍(一)

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

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部署说明

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

服务器硬件要求

CPU	内存	硬盘类型	网络	实例数量
4核+	8 GB+	SAS	千兆网卡	1+

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

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。

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。

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Master、Worker等服务可配置多个

DolphinScheduler集群模式部署

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。

hadoop102	master、worker
hadoop103	worker
hadoop104	worker

前置准备工作

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）如果启用 HDFS 文件系统，则需要 Hadoop（2.6+）环境。

（5）三台节点均需安装进程树分析工具psmisc。

注意：三台节点都需要安装

sudo yum install -y psmisc

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

tar -zxvf apache-dolphinscheduler-2.0.5-bin

创建元数据库及用户

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

创建数据库

CREATE DATABASE dolphinscheduler DEFAULT CHARACTER SET utf8 DEFAULT COLLATE utf8_general_ci;

创建用户

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_policy=0;

mysql> set global validate_password_length=4;

赋予用户相应权限

GRANT ALL PRIVILEGES ON dolphinscheduler.* TO 'dolphinscheduler'@'%';

刷新

flush privileges;

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

ips="hadoop102,hadoop103,hadoop104"

# 将要部署任一 DolphinScheduler 服务的服务器主机名或 ip 列表

# Port of SSH protocol, default value is 22. For now we only support same port in all `ips` machine

sshPort="22"

# A comma separated list of machine hostname or IP would be installed Master server, it

# must be a subset of configuration `ips`.

# Example for hostnames: masters="ds1,ds2", Example for IPs: masters="192.168.8.1,192.168.8.2"

masters="hadoop102"

# master 所在主机名列表，必须是 ips 的子集

# A comma separated list of machine <hostname>:<workerGroup> or <IP>:<workerGroup>.All hostname or IP must be a

# subset of configuration `ips`, And workerGroup have default value as `default`, but we recommend you declare behind the hosts

# Example for hostnames: workers="ds1:default,ds2:default,ds3:default", Example for IPs: workers="192.168.8.1:default,192.168.8.2:default,192.168.8.3:default"

workers="hadoop102:default,hadoop103:default,hadoop104:default"

# worker主机名及队列，此处的 ip 必须在 ips 列表中

# A comma separated list of machine hostname or IP would be installed Alert server, it

# must be a subset of configuration `ips`.

# Example for hostname: alertServer="ds3", Example for IP: alertServer="192.168.8.3"

alertServer="hadoop102"

# 告警服务所在服务器主机名

# A comma separated list of machine hostname or IP would be installed API server, it

# must be a subset of configuration `ips`.

# Example for hostname: apiServers="ds1", Example for IP: apiServers="192.168.8.1"

apiServers="hadoop102"

# api服务所在服务器主机名

# A comma separated list of machine hostname or IP would be installed Python gateway server, it

# must be a subset of configuration `ips`.

# Example for hostname: pythonGatewayServers="ds1", Example for IP: pythonGatewayServers="192.168.8.1"

# pythonGatewayServers="ds1"

# 不需要的配置项，可以保留默认值，也可以用 # 注释

# The directory to install DolphinScheduler for all machine we config above. It will automatically be created by `install.sh` script if not exists.

# Do not set this configuration same as the current path (pwd)

installPath="/opt/module/dolphinscheduler"

# DS 安装路径，如果不存在会创建

# The user to deploy DolphinScheduler for all machine we config above. For now user must create by yourself before running `install.sh`

# script. The user needs to have sudo privileges and permissions to operate hdfs. If hdfs is enabled than the root directory needs

# to be created by this user

deployUser="atguigu"

# 部署用户，任务执行服务是以 sudo -u {linux-user} 切换不同 Linux 用户的方式来实现多租户运行作业，因此该用户必须有免密的 sudo 权限。

# The directory to store local data for all machine we config above. Make sure user `deployUser` have permissions to read and write this directory.

dataBasedirPath="/tmp/dolphinscheduler"

# 前文配置的所有节点的本地数据存储路径，需要确保部署用户拥有该目录的读写权限

# DolphinScheduler ENV

# JAVA_HOME, we recommend use same JAVA_HOME in all machine you going to install DolphinScheduler

# and this configuration only support one parameter so far.

javaHome="/opt/module/jdk1.8.0_212"

# JAVA_HOME 路径

# DolphinScheduler API service port, also this is your DolphinScheduler UI component's URL port, default value is 12345

apiServerPort="12345"

# Database

# NOTICE: If database value has special characters, such as `.*[]^${}\+?|()@#&`, Please add prefix `\` for escaping.

# The type for the metadata database

# Supported values: ``postgresql``, ``mysql`, `h2``.

# 注意：数据库相关配置的 value 必须加引号，否则配置无法生效

DATABASE_TYPE="mysql"

# 数据库类型

# Spring datasource url, following <HOST>:<PORT>/<database>?<parameter> format, If you using mysql, you could use jdbc

# string jdbc:mysql://127.0.0.1:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8 as example

# SPRING_DATASOURCE_URL=${SPRING_DATASOURCE_URL:-"jdbc:h2:mem:dolphinscheduler;MODE=MySQL;DB_CLOSE_DELAY=-1;DATABASE_TO_LOWER=true"}

SPRING_DATASOURCE_URL="jdbc:mysql://hadoop102:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8"

# 数据库 URL

# Spring datasource username

# SPRING_DATASOURCE_USERNAME=${SPRING_DATASOURCE_USERNAME:-"sa"}

SPRING_DATASOURCE_USERNAME="dolphinscheduler"

# 数据库用户名

# Spring datasource password

# SPRING_DATASOURCE_PASSWORD=${SPRING_DATASOURCE_PASSWORD:-""}

SPRING_DATASOURCE_PASSWORD="dolphinscheduler"

# 数据库密码

# Registry Server

# Registry Server plugin name, should be a substring of `registryPluginDir`, DolphinScheduler use this for verifying configuration consistency

registryPluginName="zookeeper"

# 注册中心插件名称，DS 通过注册中心来确保集群配置的一致性

# Registry Server address.

registryServers="hadoop102:2181,hadoop103:2181,hadoop104:2181"

# 注册中心地址，即 Zookeeper 集群的地址

# Registry Namespace

registryNamespace="dolphinscheduler"

# DS 在 Zookeeper 的结点名称

# Worker Task Server

# Worker Task Server plugin dir. DolphinScheduler will find and load the worker task plugin jar package from this dir.

taskPluginDir="lib/plugin/task"

# resource storage type: HDFS, S3, NONE

resourceStorageType="HDFS"

# 资源存储类型

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

resourceUploadPath="/dolphinscheduler"

# 资源上传路径

# 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"

# 默认文件系统

# if resourceStorageType is S3, the following three configuration is required, otherwise please ignore

s3Endpoint="http://192.168.xx.xx:9010"

s3AccessKey="xxxxxxxxxx"

s3SecretKey="xxxxxxxxxx"

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

resourceManagerHttpAddressPort="8088"

# yarn RM http 访问端口

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

yarnHaIps=

# Yarn RM 高可用 ip，若未启用 RM 高可用，则将该值置空

# if resourcemanager HA is enabled or not use resourcemanager, please keep the default value; If resourcemanager is single node, you only need to replace 'yarnIp1' to actual resourcemanager hostname

singleYarnIp="hadoop103"

# Yarn RM 主机名，若启用了 HA 或未启用 RM，保留默认值

# who has permission to create directory under HDFS/S3 root path

# Note: if kerberos is enabled, please config hdfsRootUser=

hdfsRootUser="atguigu"

# 拥有 HDFS 根目录操作权限的用户

# 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,watch out the @ sign should followd by \\