目录
- DolphinScheduler 3.1.9 开发环境【IDEA】搭建访问
- 前提
- DolphinScheduler 普通开发模式
- 1、编译问题：
- 2、启动zookeeper
- 3、workspace.xml 修改
- 4、数据库
- 5、application.yaml 修改数据库配置
- 5-1：dolphinscheduler-master
- 5-2：dolphinscheduler-worker
- 5-3：dolphinscheduler-api
- 6、logback-spring.xml 修改日志级别
- 6-1：dolphinscheduler-master
- 6-2：dolphinscheduler-worker
- 6-3：dolphinscheduler-api
- 7、启动后端三个服务
- 7-1：MasterServer
- 7-2：WorkerServer
- 7-3：ApiApplicationServer
- 8、启动前端服务
- 9、浏览器访问
- 相关问题
- 1、存储未启用、租户\\用户 指定
- 解决方法：
- 1、minio 创建 dolphinscheduler 桶
- 2、commom.properties 修改
- 3、dolphinscheduler 可视化页面添加租户
- 演示
这里按照官方提供的文档进行操作：
前提
官方提供的开发手册位置
1、软件要求
在搭建 DolphinScheduler 开发环境之前请确保你已经安装以下软件:
- Git
- JDK: v1.8.x (当前暂不支持 jdk 11)
- Maven: v3.5+
- Node: v16.13+ (dolphinScheduler 版本低于 3.0, 请安装 node v12.20+)
- Pnpm: v6.x
2、克隆代码库
通过你 git 管理工具下载 git 代码，下面以 git-core 为例- mkdir dolphinschedulercd dolphinschedulergit clone git@github.com:apache/dolphinscheduler.git
- 支持的系统:* MacOS* Linux【这个我没有运行试试】运行 `mvn clean install -Prelease -Dmaven.test.skip=true`
上面是官方提供的，我觉得有用就复制下来，
这里开始我就按照自己的操作顺序记录
1、编译问题：
- 1、git相关1-1：开启 Windows Git 长路径支持，管理员 PowerShell 执行，解决 DolphinScheduler 路径太深导致 git add 失败git config --system core.longpaths true1-2：先初始化git仓库，只在本地，不涉及账号、不推远程，Spotless 需要 HEADgit initgit add .git commit -m "initial commit"2、Maven 编译 / 格式化（IDEA 里的 Terminal）2-1：依赖 Git HEAD，自动修复格式问题mvn spotless:apply2-2：编译整个项目（跳过测试），确保所有模块已 installmvn clean install -DskipTests3、前端相关：查看 Node.js 是否已安装node -v查看 npm 版本npm -v安装 pnpmnpm install -g pnpmpnpm -v
2、启动zookeeper
官方内容
下载 ZooKeeper，解压
存储配置
启动脚本
搞个txt编辑完后，后缀该bat即可- @echo offecho 正在启动 ZooKeeper...cd /d E:\\install\\ZooKeeper\\zookeeper-3.8.3\\binzkServer.cmdpause
【可以不用，我也是看其他文章有添加的，不过我没添加也能正常运行，这里只做记录】- 在其他文章看到说在这里添加这行，说是让 IDEA 在运行时动态使用模块的 classpath，而不是用启动时生成的静态 classpath。注意点：这个作用只会影响本地 IDEA 启动，线上环境如果有问题这个是解决不了的。"dynamic.classpath": "true",
4、数据库
我这里用的是mysql，所以需要修改
4-1：数据初始化
- 创建名为【dolphinscheduler】的新数据库后，把这个位置的sql直接拷贝复制执行即可。
如图：
4-2：依赖相关修改
- 如果使用 MySQL 作为元数据库，需要先修改 `dolphinscheduler/pom.xml`，将 `mysql-connector-java` 依赖的 `scope` 改为 `compile`，使用 PostgreSQL 则不需要test 改成 compile
5、application.yaml 修改数据库配置
5-1：dolphinscheduler-master
- 如图，配置文件中修改这些数据：三个内容都是一样的spring: config: activate: on-profile: mysql datasource: driver-class-name: com.mysql.cj.jdbc.Driver url: jdbc:mysql://127.0.0.1:3306/dolphinscheduler?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8 username: 账户名 password: 数据库密码
5-2：dolphinscheduler-worker
5-3：dolphinscheduler-api
6、logback-spring.xml 修改日志级别
6-1：dolphinscheduler-master
- [/code][align=center][img]https://img2024.cnblogs.com/blog/2685289/202601/2685289-20260122145331552-1540036327.jpg[/img][/align]
- [size=2]6-2：dolphinscheduler-worker[/size]
- [align=center][img]https://img2024.cnblogs.com/blog/2685289/202601/2685289-20260122145332194-750754032.jpg[/img][/align]
- [size=2]6-3：dolphinscheduler-api[/size]
- [align=center][img]https://img2024.cnblogs.com/blog/2685289/202601/2685289-20260122145331754-177616866.jpg[/img][/align]
- [size=3]7、启动后端三个服务[/size]
- [code]我们需要启动三个服务，包括 MasterServer，WorkerServer，ApiApplicationServer* MasterServer：在 Intellij IDEA 中执行 `org.apache.dolphinscheduler.server.master.MasterServer` 中的 `main` 方法，并配置 *VM Options* `-Dlogging.config=classpath:logback-spring.xml -Ddruid.mysql.usePingMethod=false -Dspring.profiles.active=mysql`* WorkerServer：在 Intellij IDEA 中执行 `org.apache.dolphinscheduler.server.worker.WorkerServer` 中的 `main` 方法，并配置 *VM Options* `-Dlogging.config=classpath:logback-spring.xml -Ddruid.mysql.usePingMethod=false -Dspring.profiles.active=mysql`* ApiApplicationServer：在 Intellij IDEA 中执行 `org.apache.dolphinscheduler.api.ApiApplicationServer` 中的 `main` 方法，并配置 *VM Options* `-Dlogging.config=classpath:logback-spring.xml -Dspring.profiles.active=api,mysql`。启动完成可以浏览 Open API 文档，地址为 http://localhost:12345/dolphinscheduler/swagger-ui/index.html> VM Options `-Dspring.profiles.active=mysql` 中 `mysql` 表示指定的配置文件
配置 VM Options
- 按照操作配置这个：打开后填入即可-Dlogging.config=classpath:logback-spring.xml -Ddruid.mysql.usePingMethod=false -Dspring.profiles.active=mysql
7-2：WorkerServer
配置 VM Options
跟上面一样操作：- -Dlogging.config=classpath:logback-spring.xml -Ddruid.mysql.usePingMethod=false -Dspring.profiles.active=mysql
配置 VM Options
- -Dlogging.config=classpath:logback-spring.xml -Dspring.profiles.active=api,mysql
总的就这三个：
8、启动前端服务
命令：
- 安装前端依赖并运行前端组件cd dolphinscheduler-uipnpm installpnpm run dev
9、浏览器访问
账号密码：
- 浏览器访问：http://localhost:5173/home默认账号密码：账号：admin密码：dolphinscheduler123
相关问题
1、存储未启用、租户\用户 指定
问题：测试能否创建文件夹、上传文件等，提示【存储未启用】
问题：当前登录用户的租户信息未被指定
解决方法：
Minio 安装、启动
我这里直接用minio来尝试：
1、minio 创建 dolphinscheduler 桶
2、commom.properties 修改
配置文件改了这些地方
 - # 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.## user data local directory path, please make sure the directory exists and have read write permissionsdata.basedir.path=/tmp/dolphinscheduler# resource view suffixs#resource.view.suffixs=txt,log,sh,bat,conf,cfg,py,java,sql,xml,hql,properties,json,yml,yaml,ini,js# resource storage type: HDFS, S3, OSS, NONE# ljh --> S3 is Minio--------------------------------------resource.storage.type=S3# resource store on HDFS/S3 path, resource file will store to this base path, self configuration, please make sure the directory exists on hdfs and have read write permissions. "/dolphinscheduler" is recommendedresource.storage.upload.base.path=/dolphinscheduler# ljh --> The account and password of MinIO-------------------------------# The AWS access key. if resource.storage.type=S3 or use EMR-Task, This configuration is requiredresource.aws.access.key.id=minioadmin# The AWS secret access key. if resource.storage.type=S3 or use EMR-Task, This configuration is requiredresource.aws.secret.access.key=minioadmin# The AWS Region to use. if resource.storage.type=S3 or use EMR-Task, This configuration is requiredresource.aws.region=cn-north-1# ljh --> add bucket ------------------------------# The name of the bucket. You need to create them by yourself. Otherwise, the system cannot start. All buckets in Amazon S3 share a single namespace; ensure the bucket is given a unique name.resource.aws.s3.bucket.name=dolphinscheduler# You need to set this parameter when private cloud s3. If S3 uses public cloud, you only need to set resource.aws.region or set to the endpoint of a public cloud such as S3.cn-north-1.amazonaws.com.cn# ljh --> localhost convert 127.0.0.1resource.aws.s3.endpoint=http://127.0.0.1:9000# alibaba cloud access key id, required if you set resource.storage.type=OSSresource.alibaba.cloud.access.key.id=# alibaba cloud access key secret, required if you set resource.storage.type=OSSresource.alibaba.cloud.access.key.secret=# alibaba cloud region, required if you set resource.storage.type=OSSresource.alibaba.cloud.region=cn-hangzhou# oss bucket name, required if you set resource.storage.type=OSSresource.alibaba.cloud.oss.bucket.name=dolphinscheduler# oss bucket endpoint, required if you set resource.storage.type=OSSresource.alibaba.cloud.oss.endpoint=https://oss-cn-hangzhou.aliyuncs.com# if resource.storage.type=HDFS, the user must have the permission to create directories under the HDFS root pathresource.hdfs.root.user=hdfs# if resource.storage.type=S3, the value like: s3a://dolphinscheduler; if resource.storage.type=HDFS and namenode HA is enabled, you need to copy core-site.xml and hdfs-site.xml to conf dirresource.hdfs.fs.defaultFS=hdfs://mycluster:8020# whether to startup kerberoshadoop.security.authentication.startup.state=false# java.security.krb5.conf pathjava.security.krb5.conf.path=/opt/krb5.conf# login user from keytab usernamelogin.user.keytab.username=hdfs-mycluster@ESZ.COM# login user from keytab pathlogin.user.keytab.path=/opt/hdfs.headless.keytab# kerberos expire time, the unit is hourkerberos.expire.time=2# resourcemanager port, the default value is 8088 if not specifiedresource.manager.httpaddress.port=8088# if resourcemanager HA is enabled, please set the HA IPs; if resourcemanager is single, keep this value emptyyarn.resourcemanager.ha.rm.ids=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, you only need to replace ds1 to actual resourcemanager hostnameyarn.application.status.address=http://ds1:%s/ws/v1/cluster/apps/%s# job history status url when application number threshold is reached(default 10000, maybe it was set to 1000)yarn.job.history.status.address=http://ds1:19888/ws/v1/history/mapreduce/jobs/%s# datasource encryption enabledatasource.encryption.enable=false# datasource encryption saltdatasource.encryption.salt=!@#$%^&*# data quality optiondata-quality.jar.name=dolphinscheduler-data-quality-dev-SNAPSHOT.jar#data-quality.error.output.path=/tmp/data-quality-error-data# Network IP gets priority, default inner outer# Whether hive SQL is executed in the same sessionsupport.hive.oneSession=false# use sudo or not, if set true, executing user is tenant user and deploy user needs sudo permissions; if set false, executing user is the deploy user and doesn't need sudo permissionssudo.enable=truesetTaskDirToTenant.enable=false# network interface preferred like eth0, default: empty#dolphin.scheduler.network.interface.preferred=# network IP gets priority, default: inner outer#dolphin.scheduler.network.priority.strategy=default# system env path#dolphinscheduler.env.path=dolphinscheduler_env.sh# development statedevelopment.state=false# rpc portalert.rpc.port=50052# set path of conda.shconda.path=/opt/anaconda3/etc/profile.d/conda.sh# Task resource limit statetask.resource.limit.state=false# mlflow task plugin preset repositoryml.mlflow.preset_repository=https://github.com/apache/dolphinscheduler-mlflow# mlflow task plugin preset repository versionml.mlflow.preset_repository_version="main"# ljh --> minio must open path styleresource.aws.s3.path.style.access=true
安全中心 - 租户管理 - 创建租户
用户添加租户
演示
创建文件夹、上传文件成功
如图，数据已经存放在我指定的minio文件夹里面了
来源：程序园用户自行投稿发布，如果侵权，请联系站长删除
免责声明：如果侵犯了您的权益，请联系站长，我们会及时删除侵权内容，谢谢合作！ |
提升卡
置顶卡
沉默卡
喧嚣卡
变色卡
千斤顶
照妖镜
