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集群部署目的是在多台机器部署 DolphinScheduler 服务,用于运行大量任务情况。
伪分布式部署 DolphinScheduler 需要有外部软件的支持
- JDK:下载JDK (1.8+),并将 JAVA_HOME 配置到以及 PATH 变量中。如果你的环境中已存在,可以跳过这步。
- 二进制包:在下载页面下载 DolphinScheduler 二进制包
- 数据库:PostgreSQL (8.2.15+) 或者 MySQL (5.7+),两者任选其一即可,如 MySQL 则需要 JDBC Driver 8.0.16
- 注册中心:ZooKeeper (3.4.6+),下载地址
- 进程树分析
- macOS安装pstree
- Fedora/Red/Hat/CentOS/Ubuntu/Debian安装psmisc
注意: DolphinScheduler 本身不依赖 Hadoop、Hive、Spark,但如果你运行的任务需要依赖他们,就需要有对应的环境支持
创建部署用户,并且一定要配置 sudo 免密。以创建 dolphinscheduler 用户为例
- # 创建用户需使用 root 登录
- useradd dolphinscheduler
-
- # 添加密码
- echo "dolphinscheduler" | passwd --stdin dolphinscheduler
-
- # 配置 sudo 免密
- sed -i '$adolphinscheduler ALL=(ALL) NOPASSWD: NOPASSWD: ALL' /etc/sudoers
- sed -i 's/Defaults requirett/#Defaults requirett/g' /etc/sudoers
-
- # 修改目录权限,使得部署用户对二进制包解压后的 apache-dolphinscheduler-*-bin 目录有操作权限
- chown -R dolphinscheduler:dolphinscheduler apache-dolphinscheduler-*-bin
注意:
由于安装的时候需要向不同机器发送资源,所以要求各台机器间能实现SSH免密登陆。配置免密登陆的步骤如下
- su dolphinscheduler
-
- ssh-keygen -t rsa -P '' -f ~/.ssh/id_rsa
- cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
- chmod 600 ~/.ssh/authorized_keys
注意: 配置完成后,可以通过运行命令 ssh localhost 判断是否成功,如果不需要输入密码就能ssh登陆则证明成功
前面讲过 zk建的搭建及启动,参考这篇文章:CSDNhttps://mp.csdn.net/mp_blog/creation/editor/134516112
完成了基础环境的准备后,在运行部署命令前,还需要根据环境修改配置文件。配置文件在路径在conf/config/install_config.conf下,一般部署只需要修改INSTALL MACHINE、DolphinScheduler ENV、Database、Registry Server部分即可完成部署,下面对必须修改参数进行说明
- #
- # 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="dsj-node231,dsj-node232,dsj-node233,dsj-node234,dsj-node236"
-
- # 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="dsj-node231,dsj-node232"
-
- # 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="dsj-node231:default,dsj-node232:default,dsj-node233:default,dsj-node234:default,dsj-node236: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="dsj-node234"
-
- # 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="dsj-node236"
-
- # 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="dsj-node236"
-
- # 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="/data/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="/usr/lib/jvm/java-8-openjdk-amd64"
-
- # 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=${DATABASE_TYPE:-"mysql"}
-
- # Spring datasource url, following <HOST>:<PORT>/<database>?<parameter> format, If you using mysql, you could use jdbc
- # string jdbc:mysql://127.0.0.1:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8 as example
-
- SPRING_DATASOURCE_URL=${SPRING_DATASOURCE_URL:-"jdbc:mysql://172.16.10.235:13306/dolphinscheduler?useSSL=false"}
-
- # Spring datasource username
-
- SPRING_DATASOURCE_USERNAME=${SPRING_DATASOURCE_USERNAME:-"root"}
-
- # Spring datasource password
-
- SPRING_DATASOURCE_PASSWORD=${SPRING_DATASOURCE_PASSWORD:-"Whdsj@!db0521"}
-
- # ---------------------------------------------------------
- # 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="dsj-node231:2181,dsj-node232:2181,dsj-node233:2181,dsj-node234:2181,dsj-node236:2181"
-
- # 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:dsj-node231:8020"
-
- # 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="yarnIp1"
-
- # 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"
注意,将core-site.xml 和 hdfs-site.xml 文件 从hadoop中复制到dolphinscheduler中。
否则可能会遇到 HadoopUtils.createTenateDir 空指针的问题。
- # 转发文件
- rsync -av /data/hadoop/etc/hadoop/hdfs-site.xml root@dsj-node6:/data/dolphinscheduler/conf/ && \
- rsync -av /data/hadoop/etc/hadoop/hdfs-site.xml root@dsj-node7:/data/dolphinscheduler/conf/ && \
- rsync -av /data/hadoop/etc/hadoop/core-site.xml root@dsj-node6:/data/dolphinscheduler/conf/ && \
- rsync -av /data/hadoop/etc/hadoop/core-site.xml root@dsj-node7:/data/dolphinscheduler/conf/
DolphinScheduler 元数据存储在关系型数据库中,目前支持 PostgreSQL 和 MySQL,如果使用 MySQL 则需要手动下载 mysql-connector-java 驱动 (8.0.16) 并移动到 DolphinScheduler 的 lib目录下。下面以 MySQL 为例,说明如何初始化数据库
- mysql -uroot -p
-
- mysql> CREATE DATABASE dolphinscheduler DEFAULT CHARACTER SET utf8 DEFAULT COLLATE utf8_general_ci;
-
- # 修改 {user} 和 {password} 为你希望的用户名和密码
- mysql> GRANT ALL PRIVILEGES ON dolphinscheduler.* TO '{user}'@'%' IDENTIFIED BY '{password}';
- mysql> GRANT ALL PRIVILEGES ON dolphinscheduler.* TO '{user}'@'localhost' IDENTIFIED BY '{password}';
-
- mysql> flush privileges;
完成上述步骤后,您已经为 DolphinScheduler 创建一个新数据库,现在你可以通过快速的 Shell 脚本来初始化数据库
sh script/create-dolphinscheduler.sh
使用上面创建的部署用户运行以下命令完成部署,部署后的运行日志将存放在 logs 文件夹内
sh install.sh
注意: 第一次部署的话,可能出现 5 次sh: bin/dolphinscheduler-daemon.sh: No such file or directory相关信息,次为非重要信息直接忽略即可
浏览器访问地址 http://localhost:12345/dolphinscheduler 即可登录系统UI。默认的用户名和密码是 admin/dolphinscheduler123
- # 一键停止集群所有服务
- sh ./bin/stop-all.sh
-
- # 一键开启集群所有服务
- sh ./bin/start-all.sh
-
- # 启停 Master
- sh ./bin/dolphinscheduler-daemon.sh stop master-server
- sh ./bin/dolphinscheduler-daemon.sh start master-server
-
- # 启停 Worker
- sh ./bin/dolphinscheduler-daemon.sh start worker-server
- sh ./bin/dolphinscheduler-daemon.sh stop worker-server
-
- # 启停 Api
- 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
-
- # 启停 Python Gateway
- sh ./bin/dolphinscheduler-daemon.sh start python-gateway-server
- sh ./bin/dolphinscheduler-daemon.sh stop python-gateway-server
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