DolphinScheduler 集群模式部署

DolphinScheduler 集群模式部署

一、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。

1、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树分析工具 psmisc。
输入命令： sudo yum install -y psmisc 三台节点执行

2、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
输入目录：tar -zxvf apache-dolphinscheduler-2.0.5-bin.tar.gz -C /opt/software/

3、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。
（1）创建数据库
输入目录：CREATE DATABASE dolphinscheduler DEFAULT CHARACTER SET utf8 DEFAULT COLLATE utf8_general_ci;
（2）创建用户
输入命令： create user 'dolpinscheduler'@'%' identified by 'dolpinscheduler';
（3）赋予用户相应权限
输入命令：GRANT ALL PRIVILEGES ON dolphinscheduler.* TO 'dolphinscheduler'@'%';
输入命令： flush privileges;

二、配置一键部署脚本

输入命令： cd apache-dolphinscheduler-2.0.5-bin
输入命令：vim conf/config/install_config.conf 配置文件内容如下

# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

# ---------------------------------------------------------
# INSTALL MACHINE
# ---------------------------------------------------------
# A comma separated list of machine hostname or IP would be installed DolphinScheduler,
# including master, worker, api, alert. If you want to deploy in pseudo-distributed
# mode, just write a pseudo-distributed hostname
# Example for hostnames: ips="ds1,ds2,ds3,ds4,ds5", Example for IPs: ips="192.168.8.1,192.168.8.2,192.168.8.3,192.168.8.4,192.168.8.5"
ips="hadoop102,hadoop103,hadoop104"

# Port of SSH protocol, default value is 22. For now we only support same port in all `ips` machine
# modify it if you use different ssh port
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"

# 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"

# 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"

# 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"

# 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"

# 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/dolphinscheduler"

# 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="root"

# 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"

# ---------------------------------------------------------
# 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/jdk1.8"

# 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``.
DATABASE_TYPE="mysql"

# 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="jdbc:mysql://hadoop102:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8"
# Spring datasource username
SPRING_DATASOURCE_USERNAME="dolphinscheduler"

# Spring datasource password
SPRING_DATASOURCE_PASSWORD="dolphinscheduler"

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

# Registry Server address.
registryServers="hadoop102:2181,hadoop103:2181,hadoop104:2181"

# Registry Namespace
registryNamespace="dolphinscheduler"

# ---------------------------------------------------------
# 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"

# 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"

# 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"

# 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"

# if resourcemanager HA is enabled, please set the HA IPs; if resourcemanager is single node, keep this value empty
yarnHaIps="192.168.xx.xx,192.168.xx.xx"

# 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"

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

# 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="$installPath/conf/krb5.conf"
# keytab username,watch out the @ sign should followd by \\
keytabUserName="hdfs-mycluster\\@ESZ.COM"
# username keytab path
keytabPath="$installPath/conf/hdfs.headless.keytab"
# kerberos expire time, the unit is hour
kerberosExpireTime="2"

# use sudo or not
sudoEnable="true"

# worker tenant auto create
workerTenantAutoCreate="false"

1、初始化数据库

（1）拷贝mysql8.0 驱动
拷贝 MySQL 驱动到 DolphinScheduler 的解压目录下的 lib 中，要求使用 MySQL
JDBC Driver 8.0.16 要匹配对应的版本
输入命令： cp mysql-connector-java-8.0.16.jar /opt/software/apache-dolphinscheduler-2.0.5-bin/lib/

（2）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-2.0.5-bin/script/。
输入命令：/opt/software/ds/apache-dolphinscheduler-2.0.5-bin/script/

2、一键部署 DolphinScheduler

（1）启动 Zookeeper 集群
输入命令： zkServer.sh start 三台节点都执行一下，这个是在zookeeper bin目录下命令

（2）一键部署并启动 DolphinScheduler
输入命令：./install.sh

（3）查看 DolphinScheduler 进程



（4）访问 DolphinScheduler UI
DolphinScheduler UI 地址为：http://hadoop102:12345/dolphinscheduler
初始用户：admin 初始密码：dolphinscheduler123

进入这个界面，说明成功了

3、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
服务全部启动之后