Revert "merge from dev-db (#1386)" (#1404)

This reverts commit 1baa1f4279.
This commit is contained in:
qiaozhanwei 2019-12-05 17:35:53 +08:00 committed by bao liang
parent 1baa1f4279
commit c25a9b0b21
1809 changed files with 67550 additions and 99599 deletions

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@ -1,32 +0,0 @@
## *Tips*
- *Thanks very much for contributing to Apache DolphinScheduler.*
- *Please review https://dolphinscheduler.apache.org/en-us/community/index.html before opening a pull request.*
## What is the purpose of the pull request
*(For example: This pull request adds checkstyle plugin.)*
## Brief change log
*(for example:)*
- *Add maven-checkstyle-plugin to root pom.xml*
## Verify this pull request
*(Please pick either of the following options)*
This pull request is code cleanup without any test coverage.
*(or)*
This pull request is already covered by existing tests, such as *(please describe tests)*.
(or)
This change added tests and can be verified as follows:
*(example:)*
- *Added dolphinscheduler-dao tests for end-to-end.*
- *Added CronUtilsTest to verify the change.*
- *Manually verified the change by testing locally.*

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@ -1,64 +0,0 @@
#
# 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.
#
name: Backend
on:
push:
paths:
- '.github/workflows/ci_backend.yml'
- 'package.xml'
- 'pom.xml'
- 'dolphinscheduler-alert/**'
- 'dolphinscheduler-api/**'
- 'dolphinscheduler-common/**'
- 'dolphinscheduler-dao/**'
- 'dolphinscheduler-rpc/**'
- 'dolphinscheduler-server/**'
pull_request:
paths:
- '.github/workflows/ci_backend.yml'
- 'package.xml'
- 'pom.xml'
- 'dolphinscheduler-alert/**'
- 'dolphinscheduler-api/**'
- 'dolphinscheduler-common/**'
- 'dolphinscheduler-dao/**'
- 'dolphinscheduler-rpc/**'
- 'dolphinscheduler-server/**'
jobs:
Compile-check:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v1
- name: Set up JDK 1.8
uses: actions/setup-java@v1
with:
java-version: 1.8
- name: Compile
run: mvn -U -B -T 1C clean install -Prelease -Dmaven.compile.fork=true -Dmaven.test.skip=true
License-check:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v1
- name: Set up JDK 1.8
uses: actions/setup-java@v1
with:
java-version: 1.8
- name: Check
run: mvn -B apache-rat:check

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@ -1,58 +0,0 @@
#
# 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.
#
name: Frontend
on:
push:
paths:
- '.github/workflows/ci_frontend.yml'
- 'dolphinscheduler-ui/**'
pull_request:
paths:
- '.github/workflows/ci_frontend.yml'
- 'dolphinscheduler-ui/**'
jobs:
Compile-check:
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [ubuntu-latest, macos-latest]
steps:
- uses: actions/checkout@v1
- name: Set up Node.js
uses: actions/setup-node@v1
with:
version: 8
- name: Compile
run: |
cd dolphinscheduler-ui
npm install node-sass --unsafe-perm
npm install
npm run build
License-check:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v1
- name: Set up JDK 1.8
uses: actions/setup-java@v1
with:
java-version: 1.8
- name: Check
run: mvn -B apache-rat:check

218
.gitignore vendored
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@ -35,112 +35,112 @@ config.gypi
test/coverage
/docs/zh_CN/介绍
/docs/zh_CN/贡献代码.md
/dolphinscheduler-common/src/main/resources/zookeeper.properties
dolphinscheduler-alert/logs/
dolphinscheduler-alert/src/main/resources/alert.properties_bak
dolphinscheduler-alert/src/main/resources/logback.xml
dolphinscheduler-server/src/main/resources/logback.xml
dolphinscheduler-ui/dist/css/common.16ac5d9.css
dolphinscheduler-ui/dist/css/home/index.b444b91.css
dolphinscheduler-ui/dist/css/login/index.5866c64.css
dolphinscheduler-ui/dist/js/0.ac94e5d.js
dolphinscheduler-ui/dist/js/0.ac94e5d.js.map
dolphinscheduler-ui/dist/js/1.0b043a3.js
dolphinscheduler-ui/dist/js/1.0b043a3.js.map
dolphinscheduler-ui/dist/js/10.1bce3dc.js
dolphinscheduler-ui/dist/js/10.1bce3dc.js.map
dolphinscheduler-ui/dist/js/11.79f04d8.js
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dolphinscheduler-ui/dist/js/12.420daa5.js
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dolphinscheduler-ui/dist/js/13.e5bae1c.js
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dolphinscheduler-ui/dist/js/14.f2a0dca.js
dolphinscheduler-ui/dist/js/14.f2a0dca.js.map
dolphinscheduler-ui/dist/js/15.45373e8.js
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dolphinscheduler-ui/dist/js/16.fecb0fc.js
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dolphinscheduler-ui/dist/js/home/index.78a5d12.js
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dolphinscheduler-ui/dist/js/login/index.291b8e3.js
dolphinscheduler-ui/dist/js/login/index.291b8e3.js.map
dolphinscheduler-ui/dist/lib/external/
dolphinscheduler-ui/src/js/conf/home/pages/projects/pages/taskInstance/index.vue
/dolphinscheduler-dao/src/main/resources/dao/data_source.properties
/escheduler-common/src/main/resources/zookeeper.properties
escheduler-alert/logs/
escheduler-alert/src/main/resources/alert.properties_bak
escheduler-alert/src/main/resources/logback.xml
escheduler-server/src/main/resources/logback.xml
escheduler-ui/dist/css/common.16ac5d9.css
escheduler-ui/dist/css/home/index.b444b91.css
escheduler-ui/dist/css/login/index.5866c64.css
escheduler-ui/dist/js/0.ac94e5d.js
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escheduler-ui/dist/js/login/index.291b8e3.js
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escheduler-ui/dist/lib/external/
escheduler-ui/src/js/conf/home/pages/projects/pages/taskInstance/index.vue
/escheduler-dao/src/main/resources/dao/data_source.properties

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@ -1,4 +1,4 @@
* First from the remote repository *https://github.com/apache/incubator-dolphinscheduler.git* fork code to your own repository
* First from the remote repository *https://github.com/analysys/EasyScheduler.git* fork code to your own repository
* there are three branches in the remote repository currently:
* master normal delivery branch
@ -7,14 +7,17 @@
* dev daily development branch
The daily development branch, the newly submitted code can pull requests to this branch.
* branch-1.0.0 release version branch
Release version branch, there will be 2.0 ... and other version branches, the version
branch only changes the error, does not add new features.
* Clone your own warehouse to your local
`git clone https://github.com/apache/incubator-dolphinscheduler.git`
`git clone https://github.com/analysys/EasyScheduler.git`
* Add remote repository address, named upstream
`git remote add upstream https://github.com/apache/incubator-dolphinscheduler.git`
`git remote add upstream https://github.com/analysys/EasyScheduler.git`
* View repository:
@ -60,6 +63,71 @@ git push --set-upstream origin dev1.0
* Next, the administrator is responsible for **merging** to complete the pull request
---
* 首先从远端仓库*https://github.com/analysys/EasyScheduler.git* fork一份代码到自己的仓库中
* 远端仓库中目前有三个分支:
* master 正常交付分支
发布稳定版本以后将稳定版本分支的代码合并到master上。
* dev 日常开发分支
日常dev开发分支新提交的代码都可以pull request到这个分支上。
* branch-1.0.0 发布版本分支
发布版本分支后续会有2.0...等版本分支版本分支只修改bug不增加新功能。
* 把自己仓库clone到本地
`git clone https://github.com/analysys/EasyScheduler.git`
* 添加远端仓库地址命名为upstream
` git remote add upstream https://github.com/analysys/EasyScheduler.git `
* 查看仓库:
` git remote -v`
> 此时会有两个仓库origin(自己的仓库)和upstream远端仓库
* 获取/更新远端仓库代码(已经是最新代码,就跳过)
`git fetch upstream `
* 同步远端仓库代码到本地仓库
```
git checkout origin/dev
git merge --no-ff upstream/dev
```
如果远端分支有新加的分支`dev-1.0`,需要同步这个分支到本地仓库
```
git checkout -b dev-1.0 upstream/dev-1.0
git push --set-upstream origin dev1.0
```
* 在本地修改代码以后,提交到自己仓库:
`git commit -m 'test commit'`
`git push`
* 将修改提交到远端仓库
* 在github页面点击New pull request.
<p align="center">
<img src="http://geek.analysys.cn/static/upload/221/2019-04-02/90f3abbf-70ef-4334-b8d6-9014c9cf4c7f.png" width="60%" />
</p>
* 选择修改完的本地分支和要合并过去的分支Create pull request.
<p align="center">
<img src="http://geek.analysys.cn/static/upload/221/2019-04-02/fe7eecfe-2720-4736-951b-b3387cf1ae41.png" width="60%" />
</p>
* 接下来由管理员负责将**Merge**完成此次pull request

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@ -1,5 +0,0 @@
Apache DolphinScheduler (incubating) is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator PMC.
Incubation is required of all newly accepted projects until a further review indicates that the infrastructure,
communications, and decision making process have stabilized in a manner consistent with other successful ASF projects.
While incubation status is not necessarily a reflection of the completeness or stability of the code,
it does indicate that the project has yet to be fully endorsed by the ASF.

8
NOTICE
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@ -1,5 +1,7 @@
Apache DolphinScheduler (incubating)
Copyright 2019 The Apache Software Foundation
Easy Scheduler
Copyright 2019 The Analysys Foundation
This product includes software developed at
The Apache Software Foundation (http://www.apache.org/).
The Analysys Foundation (https://www.analysys.cn/).

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@ -11,7 +11,7 @@ Dolphin Scheduler
[![CN doc](https://img.shields.io/badge/文档-中文版-blue.svg)](README_zh_CN.md)
### Design features:
### Design features:
A distributed and easy-to-expand visual DAG workflow scheduling system. Dedicated to solving the complex dependencies in data processing, making the scheduling system `out of the box` for data processing.
Its main objectives are as follows:
@ -36,8 +36,8 @@ Its main objectives are as follows:
Stability | Easy to use | Features | Scalability |
-- | -- | -- | --
Decentralized multi-master and multi-worker | Visualization process defines key information such as task status, task type, retry times, task running machine, visual variables and so on at a glance.  |  Support pause, recover operation | support custom task types
HA is supported by itself | All process definition operations are visualized, dragging tasks to draw DAGs, configuring data sources and resources. At the same time, for third-party systems, the api mode operation is provided. | Users on DolphinScheduler can achieve many-to-one or one-to-one mapping relationship through tenants and Hadoop users, which is very important for scheduling large data jobs. " | The scheduler uses distributed scheduling, and the overall scheduling capability will increase linearly with the scale of the cluster. Master and Worker support dynamic online and offline.
Decentralized multi-master and multi-worker | Visualization process defines key information such as task status, task type, retry times, task running machine, visual variables and so on at a glance.  |  Support pause, recover operation | support custom task types
HA is supported by itself | All process definition operations are visualized, dragging tasks to draw DAGs, configuring data sources and resources. At the same time, for third-party systems, the api mode operation is provided. | Users on DolphinScheduler can achieve many-to-one or one-to-one mapping relationship through tenants and Hadoop users, which is very important for scheduling large data jobs. " | The scheduler uses distributed scheduling, and the overall scheduling capability will increase linearly with the scale of the cluster. Master and Worker support dynamic online and offline.
Overload processing: Task queue mechanism, the number of schedulable tasks on a single machine can be flexibly configured, when too many tasks will be cached in the task queue, will not cause machine jam. | One-click deployment | Supports traditional shell tasks, and also support big data platform task scheduling: MR, Spark, SQL (mysql, postgresql, hive, sparksql), Python, Procedure, Sub_Process | |
@ -58,11 +58,11 @@ Overload processing: Task queue mechanism, the number of schedulable tasks on a
- <a href="https://dolphinscheduler.apache.org/en-us/docs/user_doc/frontend-deployment.html" target="_blank">Front-end deployment documentation</a>
- [**User manual**](https://dolphinscheduler.apache.org/en-us/docs/user_doc/system-manual.html?_blank "System manual")
- [**User manual**](https://dolphinscheduler.apache.org/en-us/docs/user_doc/system-manual.html?_blank "System manual")
- [**Upgrade document**](https://dolphinscheduler.apache.org/en-us/docs/release/upgrade.html?_blank "Upgrade document")
- [**Upgrade document**](https://dolphinscheduler.apache.org/en-us/docs/release/upgrade.html?_blank "Upgrade document")
- <a href="http://106.75.43.194:8888" target="_blank">Online Demo</a>
- <a href="http://106.75.43.194:8888" target="_blank">Online Demo</a>
More documentation please refer to <a href="https://dolphinscheduler.apache.org/en-us/docs/user_doc/quick-start.html" target="_blank">[DolphinScheduler online documentation]</a>
@ -74,20 +74,6 @@ Work plan of Dolphin Scheduler: [R&D plan](https://github.com/apache/incubator-d
Welcome to participate in contributing code, please refer to the process of submitting the code:
[[How to contribute code](https://github.com/apache/incubator-dolphinscheduler/issues/310)]
### How to Build
```bash
mvn clean install -Prelease
```
Artifact:
```
dolphinscheduler-dist/dolphinscheduler-backend/target/apache-dolphinscheduler-incubating-${latest.release.version}-dolphinscheduler-backend-bin.tar.gz: Binary package of DolphinScheduler-Backend
dolphinscheduler-dist/dolphinscheduler-front/target/apache-dolphinscheduler-incubating-${latest.release.version}-dolphinscheduler-front-bin.tar.gz: Binary package of DolphinScheduler-UI
dolphinscheduler-dist/dolphinscheduler-src/target/apache-dolphinscheduler-incubating-${latest.release.version}-src.zip: Source code package of DolphinScheduler
```
### Thanks
Dolphin Scheduler uses a lot of excellent open source projects, such as google guava, guice, grpc, netty, ali bonecp, quartz, and many open source projects of apache, etc.
@ -100,8 +86,8 @@ It is because of the shoulders of these open source projects that the birth of t
### License
Please refer to [LICENSE](https://github.com/apache/incubator-dolphinscheduler/blob/dev/LICENSE) file.

View File

@ -1,13 +1,13 @@
Dolphin Scheduler
============
[![License](https://img.shields.io/badge/license-Apache%202-4EB1BA.svg)](https://www.apache.org/licenses/LICENSE-2.0.html)
[![Total Lines](https://tokei.rs/b1/github/apache/Incubator-DolphinScheduler?category=lines)](https://github.com/apache/Incubator-DolphinScheduler)
[![Total Lines](https://tokei.rs/b1/github/analysys/EasyScheduler?category=lines)](https://github.com/analysys/EasyScheduler)
> Dolphin Scheduler for Big Data
[![Stargazers over time](https://starchart.cc/apache/incubator-dolphinscheduler.svg)](https://starchart.cc/apache/incubator-dolphinscheduler)
[![Stargazers over time](https://starchart.cc/analysys/EasyScheduler.svg)](https://starchart.cc/analysys/EasyScheduler)
[![CN doc](https://img.shields.io/badge/文档-中文版-blue.svg)](README_zh_CN.md)
[![EN doc](https://img.shields.io/badge/document-English-blue.svg)](README.md)
@ -45,11 +45,11 @@ Dolphin Scheduler
- <a href="https://dolphinscheduler.apache.org/zh-cn/docs/user_doc/frontend-deployment.html" target="_blank">前端部署文档</a>
- [**使用手册**](https://dolphinscheduler.apache.org/zh-cn/docs/user_doc/system-manual.html?_blank "系统使用手册")
- [**使用手册**](https://dolphinscheduler.apache.org/zh-cn/docs/user_doc/system-manual.html?_blank "系统使用手册")
- [**升级文档**](https://dolphinscheduler.apache.org/zh-cn/docs/release/upgrade.html?_blank "升级文档")
- [**升级文档**](https://dolphinscheduler.apache.org/zh-cn/docs/release/upgrade.html?_blank "升级文档")
- <a href="http://106.75.43.194:8888" target="_blank">我要体验</a>
- <a href="http://106.75.43.194:8888" target="_blank">我要体验</a>
更多文档请参考 <a href="https://dolphinscheduler.apache.org/zh-cn/docs/user_doc/quick-start.html" target="_blank">DolphinScheduler中文在线文档</a>
@ -63,24 +63,11 @@ DolphinScheduler的工作计划<a href="https://github.com/apache/incubator-d
非常欢迎大家来参与贡献代码,提交代码流程请参考:
[[How to contribute code](https://github.com/apache/incubator-dolphinscheduler/issues/310)]
### How to Build
```bash
mvn clean install -Prelease
```
Artifact:
```
dolphinscheduler-dist/dolphinscheduler-backend/target/apache-dolphinscheduler-incubating-${latest.release.version}-dolphinscheduler-backend-bin.tar.gz: Binary package of DolphinScheduler-Backend
dolphinscheduler-dist/dolphinscheduler-front/target/apache-dolphinscheduler-incubating-${latest.release.version}-dolphinscheduler-front-bin.tar.gz: Binary package of DolphinScheduler-UI
dolphinscheduler-dist/dolphinscheduler-src/target/apache-dolphinscheduler-incubating-${latest.release.version}-src.zip: Source code package of DolphinScheduler
```
### 感谢
Dolphin Scheduler使用了很多优秀的开源项目比如google的guava、guice、grpcnettyali的bonecpquartz以及apache的众多开源项目等等
正是由于站在这些开源项目的肩膀上,才有Dolphin Scheduler的诞生的可能。对此我们对使用的所有开源软件表示非常的感谢我们也希望自己不仅是开源的受益者也能成为开源的
正是由于站在这些开源项目的肩膀上才有Easy Scheduler的诞生的可能。对此我们对使用的所有开源软件表示非常的感谢我们也希望自己不仅是开源的受益者也能成为开源的
贡献者,于是我们决定把易调度贡献出来,并承诺长期维护。也希望对开源有同样热情和信念的伙伴加入进来,一起为开源献出一份力!
@ -91,7 +78,7 @@ Dolphin Scheduler使用了很多优秀的开源项目比如google的guava、g
### 版权
Please refer to [LICENSE](https://github.com/apache/incubator-dolphinscheduler/blob/dev/LICENSE) file.

View File

@ -1,55 +0,0 @@
## 1.2.0
### New Feature
1. Support postgre sql
2. Change all Chinese names to English
3. Add flink and http task support
4. Cross project dependencies
5. Modify mybatis to mybatisplus, support multy databases.
6. Add export and import definition feaure
7. Github actions ci compile check
8. Add method and parameters comments
9. Add java doc for common module
### Enhancement
1. Add license and notice files
2. Move batchDelete Process Define/Instance Outside for transactional
3. Remove space before and after login user name
4. Dockerfile optimization
5. Change mysql-connector-java scope to test
6. Owners and administrators can delete schedule
7. DB page rename and background color modification 
8. Add postgre performance monitor
9. Resolve style conflict, recipient cannot tab and value verification
10. Checkbox change background color and env to Chinese
11. Change chinese sql to english
12. Change sqlSessionTemplate singleton and reformat code 
13. The value of loadaverage should be two decimal places
14. Delete alert group need delete the relation of user and alert group
15. Remove check resources when delete tenant
16. Check processInstance state before delete worker group 
17. Add check user and definitions function when delete tenant
18. Delete before check to avoid KeeperException$NoNodeException
### Bug Fixes
1. Fix #1245, make scanCommand transactional
2. Fix ZKWorkerClient not close PathChildrenCache
3. Data type convert error email send error bug fix
4. Catch exception transaction method does not take effect to modify
5. Fix the spring transaction not worker bug
6. Task log print worker log bug fix
7. Fix api server debug mode bug
8. The task is abnormal and task is running bug fix
9. Fix bug: tasks queue length error
10. Fix unsuitable error message
11. Fix bug: phone can be empty
12. Fix email error password
13. Fix CheckUtils.checkUserParams method
14. The process cannot be terminated while tasks in the status submit success
15. Fix too many connection in upgrade or create 
16. Fix the bug when worker execute task using queue. and remove checking
17. Resole verify udf name error and delete udf error 
18. Fix bug: task cannot submit when recovery failover
19. Fix bug: the administrator authorizes the project to ordinary users,but ordinary users cannot see the process definition created by the administrator
20. Fix bug: create dolphinscheduler sql failed

View File

@ -1,29 +1,13 @@
#
# 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.
#
FROM ubuntu:18.04
MAINTAINER journey "825193156@qq.com"
ENV LANG=C.UTF-8
ENV DEBIAN_FRONTEND=noninteractive
ARG version
ARG tar_version
#1,install jdk
#1,安装jdk
RUN apt-get update \
&& apt-get -y install openjdk-8-jdk \
@ -33,10 +17,17 @@ ENV JAVA_HOME /usr/lib/jvm/java-8-openjdk-amd64
ENV PATH $JAVA_HOME/bin:$PATH
#install wget
#安装wget
RUN apt-get update && \
apt-get -y install wget
#2,install ZK
#2,安装ZK
#RUN cd /opt && \
# wget https://archive.apache.org/dist/zookeeper/zookeeper-3.4.6/zookeeper-3.4.6.tar.gz && \
# tar -zxvf zookeeper-3.4.6.tar.gz && \
# mv zookeeper-3.4.6 zookeeper && \
# rm -rf ./zookeeper-*tar.gz && \
# mkdir -p /tmp/zookeeper && \
# rm -rf /opt/zookeeper/conf/zoo_sample.cfg
RUN cd /opt && \
wget https://www-us.apache.org/dist/zookeeper/zookeeper-3.4.14/zookeeper-3.4.14.tar.gz && \
@ -46,22 +37,22 @@ RUN cd /opt && \
mkdir -p /tmp/zookeeper && \
rm -rf /opt/zookeeper/conf/zoo_sample.cfg
ADD ./dockerfile/conf/zookeeper/zoo.cfg /opt/zookeeper/conf
ADD ./conf/zookeeper/zoo.cfg /opt/zookeeper/conf
ENV ZK_HOME=/opt/zookeeper
ENV PATH $PATH:$ZK_HOME/bin
#3,install maven
#3,安装maven
RUN cd /opt && \
wget http://apache-mirror.rbc.ru/pub/apache/maven/maven-3/3.3.9/binaries/apache-maven-3.3.9-bin.tar.gz && \
tar -zxvf apache-maven-3.3.9-bin.tar.gz && \
mv apache-maven-3.3.9 maven && \
rm -rf ./apache-maven-*tar.gz && \
rm -rf /opt/maven/conf/settings.xml
ADD ./dockerfile/conf/maven/settings.xml /opt/maven/conf
ADD ./conf/maven/settings.xml /opt/maven/conf
ENV MAVEN_HOME=/opt/maven
ENV PATH $PATH:$MAVEN_HOME/bin
#4,install node
#4,安装node
RUN cd /opt && \
wget https://nodejs.org/download/release/v8.9.4/node-v8.9.4-linux-x64.tar.gz && \
tar -zxvf node-v8.9.4-linux-x64.tar.gz && \
@ -70,19 +61,67 @@ RUN cd /opt && \
ENV NODE_HOME=/opt/node
ENV PATH $PATH:$NODE_HOME/bin
#5,install postgresql
RUN apt-get update && \
apt-get install -y postgresql postgresql-contrib sudo && \
sed -i 's/localhost/*/g' /etc/postgresql/10/main/postgresql.conf
#5,下载escheduler
RUN cd /opt && \
wget https://github.com/analysys/EasyScheduler/archive/${version}.tar.gz && \
tar -zxvf ${version}.tar.gz && \
mv EasyScheduler-${version} easyscheduler_source && \
rm -rf ./${version}.tar.gz
#6,install nginx
#6,后端编译
RUN cd /opt/easyscheduler_source && \
mvn -U clean package assembly:assembly -Dmaven.test.skip=true
#7,前端编译
RUN chmod -R 777 /opt/easyscheduler_source/escheduler-ui && \
cd /opt/easyscheduler_source/escheduler-ui && \
rm -rf /opt/easyscheduler_source/escheduler-ui/node_modules && \
npm install node-sass --unsafe-perm && \
npm install && \
npm run build
#8,安装mysql
RUN echo "deb http://cn.archive.ubuntu.com/ubuntu/ xenial main restricted universe multiverse" >> /etc/apt/sources.list
RUN echo "mysql-server mysql-server/root_password password root" | debconf-set-selections
RUN echo "mysql-server mysql-server/root_password_again password root" | debconf-set-selections
RUN apt-get update && \
apt-get -y install mysql-server-5.7 && \
mkdir -p /var/lib/mysql && \
mkdir -p /var/run/mysqld && \
mkdir -p /var/log/mysql && \
chown -R mysql:mysql /var/lib/mysql && \
chown -R mysql:mysql /var/run/mysqld && \
chown -R mysql:mysql /var/log/mysql
# UTF-8 and bind-address
RUN sed -i -e "$ a [client]\n\n[mysql]\n\n[mysqld]" /etc/mysql/my.cnf && \
sed -i -e "s/\(\[client\]\)/\1\ndefault-character-set = utf8/g" /etc/mysql/my.cnf && \
sed -i -e "s/\(\[mysql\]\)/\1\ndefault-character-set = utf8/g" /etc/mysql/my.cnf && \
sed -i -e "s/\(\[mysqld\]\)/\1\ninit_connect='SET NAMES utf8'\ncharacter-set-server = utf8\ncollation-server=utf8_general_ci\nbind-address = 0.0.0.0/g" /etc/mysql/my.cnf
#9,安装nginx
RUN apt-get update && \
apt-get install -y nginx && \
rm -rf /var/lib/apt/lists/* && \
echo "\ndaemon off;" >> /etc/nginx/nginx.conf && \
chown -R www-data:www-data /var/lib/nginx
#7,install sudo,python,vim,ping and ssh command
#10,修改escheduler配置文件
#后端配置
RUN mkdir -p /opt/escheduler && \
tar -zxvf /opt/easyscheduler_source/target/escheduler-${tar_version}.tar.gz -C /opt/escheduler && \
rm -rf /opt/escheduler/conf
ADD ./conf/escheduler/conf /opt/escheduler/conf
#前端nginx配置
ADD ./conf/nginx/default.conf /etc/nginx/conf.d
#11,开放端口
EXPOSE 2181 2888 3888 3306 80 12345 8888
#12,安装sudo,python,vim,ping和ssh
RUN apt-get update && \
apt-get -y install sudo && \
apt-get -y install python && \
@ -93,44 +132,15 @@ RUN apt-get update && \
apt-get -y install python-pip && \
pip install kazoo
#8,add dolphinscheduler source code to /opt/dolphinscheduler_source
ADD . /opt/dolphinscheduler_source
#9,backend compilation
RUN cd /opt/dolphinscheduler_source && \
mvn clean package -Prelease -Dmaven.test.skip=true
#10,frontend compilation
RUN chmod -R 777 /opt/dolphinscheduler_source/dolphinscheduler-ui && \
cd /opt/dolphinscheduler_source/dolphinscheduler-ui && \
rm -rf /opt/dolphinscheduler_source/dolphinscheduler-ui/node_modules && \
npm install node-sass --unsafe-perm && \
npm install && \
npm run build
#11,modify dolphinscheduler configuration file
#backend configuration
RUN tar -zxvf /opt/dolphinscheduler_source/dolphinscheduler-dist/dolphinscheduler-backend/target/apache-dolphinscheduler-incubating-${tar_version}-dolphinscheduler-backend-bin.tar.gz -C /opt && \
mv /opt/apache-dolphinscheduler-incubating-${tar_version}-dolphinscheduler-backend-bin /opt/dolphinscheduler && \
rm -rf /opt/dolphinscheduler/conf
ADD ./dockerfile/conf/dolphinscheduler/conf /opt/dolphinscheduler/conf
#frontend nginx configuration
ADD ./dockerfile/conf/nginx/dolphinscheduler.conf /etc/nginx/conf.d
#12,open port
EXPOSE 2181 2888 3888 3306 80 12345 8888
COPY ./dockerfile/startup.sh /root/startup.sh
#13,modify permissions and set soft links
COPY ./startup.sh /root/startup.sh
#13,修改权限和设置软连
RUN chmod +x /root/startup.sh && \
chmod +x /opt/dolphinscheduler/script/create-dolphinscheduler.sh && \
chmod +x /opt/escheduler/script/create_escheduler.sh && \
chmod +x /opt/zookeeper/bin/zkServer.sh && \
chmod +x /opt/dolphinscheduler/bin/dolphinscheduler-daemon.sh && \
chmod +x /opt/escheduler/bin/escheduler-daemon.sh && \
rm -rf /bin/sh && \
ln -s /bin/bash /bin/sh && \
mkdir -p /tmp/xls
ENTRYPOINT ["/root/startup.sh"]
ENTRYPOINT ["/root/startup.sh"]

View File

@ -1,11 +0,0 @@
## Build Image
```
cd ..
docker build -t dolphinscheduler --build-arg version=1.1.0 --build-arg tar_version=1.1.0-SNAPSHOT -f dockerfile/Dockerfile .
docker run -p 12345:12345 -p 8888:8888 --rm --name dolphinscheduler -d dolphinscheduler
```
* Visit the url: http://127.0.0.1:8888
* UserName:admin Password:dolphinscheduler123
## Note
* MacOS: The memory of docker needs to be set to 4G, default 2G. Steps: Preferences -> Advanced -> adjust resources -> Apply & Restart

View File

@ -1,50 +0,0 @@
#
# 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.
#
#alert type is EMAIL/SMS
alert.type=EMAIL
# mail server configuration
mail.protocol=SMTP
mail.server.host=smtp.126.com
mail.server.port=
mail.sender=dolphinscheduler@126.com
mail.user=dolphinscheduler@126.com
mail.passwd=escheduler123
# TLS
mail.smtp.starttls.enable=false
# SSL
mail.smtp.ssl.enable=true
mail.smtp.ssl.trust=smtp.126.com
#xls file path,need create if not exist
xls.file.path=/tmp/xls
# Enterprise WeChat configuration
enterprise.wechat.enable=false
enterprise.wechat.corp.id=xxxxxxx
enterprise.wechat.secret=xxxxxxx
enterprise.wechat.agent.id=xxxxxxx
enterprise.wechat.users=xxxxxxx
enterprise.wechat.token.url=https://qyapi.weixin.qq.com/cgi-bin/gettoken?corpid=$corpId&corpsecret=$secret
enterprise.wechat.push.url=https://qyapi.weixin.qq.com/cgi-bin/message/send?access_token=$token
enterprise.wechat.team.send.msg={\"toparty\":\"$toParty\",\"agentid\":\"$agentId\",\"msgtype\":\"text\",\"text\":{\"content\":\"$msg\"},\"safe\":\"0\"}
enterprise.wechat.user.send.msg={\"touser\":\"$toUser\",\"agentid\":\"$agentId\",\"msgtype\":\"markdown\",\"markdown\":{\"content\":\"$msg\"}}

View File

@ -1,49 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!-- Logback configuration. See http://logback.qos.ch/manual/index.html -->
<configuration scan="true" scanPeriod="120 seconds"> <!--debug="true" -->
<property name="log.base" value="logs" />
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
<encoder>
<pattern>
[%level] %date{yyyy-MM-dd HH:mm:ss.SSS} %logger{96}:[%line] - %msg%n
</pattern>
<charset>UTF-8</charset>
</encoder>
</appender>
<appender name="ALERTLOGFILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
<file>${log.base}/dolphinscheduler-alert.log</file>
<rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">
<fileNamePattern>${log.base}/dolphinscheduler-alert.%d{yyyy-MM-dd_HH}.%i.log</fileNamePattern>
<maxHistory>20</maxHistory>
<maxFileSize>64MB</maxFileSize>
</rollingPolicy>
<encoder>
<pattern>
[%level] %date{yyyy-MM-dd HH:mm:ss.SSS} %logger{96}:[%line] - %msg%n
</pattern>
<charset>UTF-8</charset>
</encoder>
</appender>
<root level="INFO">
<appender-ref ref="ALERTLOGFILE"/>
</root>
</configuration>

View File

@ -1,40 +0,0 @@
#
# 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.
#
logging.config=classpath:apiserver_logback.xml
# server port
server.port=12345
# session config
server.servlet.session.timeout=7200
server.servlet.context-path=/dolphinscheduler/
# file size limit for upload
spring.servlet.multipart.max-file-size=1024MB
spring.servlet.multipart.max-request-size=1024MB
#post content
server.jetty.max-http-post-size=5000000
spring.messages.encoding=UTF-8
#i18n classpath folder , file prefix messages if have many files, use "," seperator
spring.messages.basename=i18n/messages

View File

@ -1,80 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!-- Logback configuration. See http://logback.qos.ch/manual/index.html -->
<configuration scan="true" scanPeriod="120 seconds">
<property name="log.base" value="logs"/>
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
<encoder>
<pattern>
%highlight([%level]) %date{yyyy-MM-dd HH:mm:ss.SSS} %logger{10}:[%line] - %msg%n
</pattern>
<charset>UTF-8</charset>
</encoder>
</appender>
<appender name="TASKLOGFILE" class="ch.qos.logback.classic.sift.SiftingAppender">
<filter class="ch.qos.logback.classic.filter.ThresholdFilter">
<level>INFO</level>
</filter>
<filter class="org.apache.dolphinscheduler.server.worker.log.TaskLogFilter"></filter>
<Discriminator class="org.apache.dolphinscheduler.server.worker.log.TaskLogDiscriminator">
<key>taskAppId</key>
<logBase>${log.base}</logBase>
</Discriminator>
<sift>
<appender name="FILE-${taskAppId}" class="ch.qos.logback.core.FileAppender">
<file>${log.base}/${taskAppId}.log</file>
<encoder>
<pattern>
[%level] %date{yyyy-MM-dd HH:mm:ss.SSS} %logger{96}:[%line] - %msg%n
</pattern>
<charset>UTF-8</charset>
</encoder>
<append>true</append>
</appender>
</sift>
</appender>
<appender name="COMBINEDLOGFILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
<file>${log.base}/dolphinscheduler-combined.log</file>
<filter class="org.apache.dolphinscheduler.server.worker.log.WorkerLogFilter">
<level>INFO</level>
</filter>
<rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">
<fileNamePattern>${log.base}/dolphinscheduler-combined.%d{yyyy-MM-dd_HH}.%i.log</fileNamePattern>
<maxHistory>168</maxHistory>
<maxFileSize>200MB</maxFileSize>
</rollingPolicy>
     
<encoder>
<pattern>
[%level] %date{yyyy-MM-dd HH:mm:ss.SSS} %logger{96}:[%line] - %msg%n
</pattern>
<charset>UTF-8</charset>
</encoder>
  
</appender>
<root level="INFO">
<appender-ref ref="STDOUT"/>
<appender-ref ref="TASKLOGFILE"/>
<appender-ref ref="COMBINEDLOGFILE"/>
</root>
</configuration>

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@ -1,35 +0,0 @@
#
# 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.
#
# ha or single namenode,If namenode ha needs to copy core-site.xml and hdfs-site.xml
# to the conf directorysupport s3for example : s3a://dolphinscheduler
fs.defaultFS=hdfs://mycluster:8020
# s3 needs3 endpoint
fs.s3a.endpoint=http://192.168.199.91:9010
# s3 needs3 access key
fs.s3a.access.key=A3DXS30FO22544RE
# s3 needs3 secret key
fs.s3a.secret.key=OloCLq3n+8+sdPHUhJ21XrSxTC+JK
#resourcemanager ha note this need ips , this empty if single
yarn.resourcemanager.ha.rm.ids=192.168.xx.xx,192.168.xx.xx
# If it is a single resourcemanager, you only need to configure one host name. If it is resourcemanager HA, the default configuration is fine
yarn.application.status.address=http://ark1:8088/ws/v1/cluster/apps/%s

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@ -1,20 +0,0 @@
#
# 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.
#
installPath=/data1_1T/dolphinscheduler
deployUser=dolphinscheduler
ips=ark0,ark1,ark2,ark3,ark4

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@ -1,21 +0,0 @@
#
# 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.
#
masters=ark0,ark1
workers=ark2,ark3,ark4
alertServer=ark3
apiServers=ark1

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@ -1,20 +0,0 @@
#
# 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.
#
export PYTHON_HOME=/usr/bin/python
export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64
export PATH=$PYTHON_HOME:$JAVA_HOME/bin:$PATH

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@ -1,20 +0,0 @@
#
# 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.
#
export PYTHON_HOME=/usr/bin/python
export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64
export PATH=$PYTHON_HOME:$JAVA_HOME/bin:$PATH

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@ -1,17 +0,0 @@
<#--
~ 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.
-->
<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01 Transitional//EN' 'http://www.w3.org/TR/html4/loose.dtd'><html><head><title> dolphinscheduler</title><meta name='Keywords' content=''><meta name='Description' content=''><style type="text/css">table { margin-top:0px; padding-top:0px; border:1px solid; font-size: 14px; color: #333333; border-width: 1px; border-color: #666666; border-collapse: collapse; } table th { border-width: 1px; padding: 8px; border-style: solid; border-color: #666666; background-color: #dedede; } table td { border-width: 1px; padding: 8px; border-style: solid; border-color: #666666; background-color: #ffffff; }</style></head><body style="margin:0;padding:0"><table border="1px" cellpadding="5px" cellspacing="-10px"><thead><#if title??> ${title}</#if></thead><#if content??> ${content}</#if></table></body></html>

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@ -1,38 +0,0 @@
#
# 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.
#
# master execute thread num
master.exec.threads=100
# master execute task number in parallel
master.exec.task.number=20
# master heartbeat interval
master.heartbeat.interval=10
# master commit task retry times
master.task.commit.retryTimes=5
# master commit task interval
master.task.commit.interval=100
# only less than cpu avg load, master server can work. default value : the number of cpu cores * 2
#master.max.cpuload.avg=100
# only larger than reserved memory, master server can work. default value : physical memory * 1/10, unit is G.
master.reserved.memory=0.1

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@ -1,52 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!-- Logback configuration. See http://logback.qos.ch/manual/index.html -->
<configuration scan="true" scanPeriod="120 seconds"> <!--debug="true" -->
<property name="log.base" value="logs" />
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
<encoder>
<pattern>
[%level] %date{yyyy-MM-dd HH:mm:ss.SSS} %logger{96}:[%line] - %msg%n
</pattern>
<charset>UTF-8</charset>
</encoder>
</appender>
<appender name="MASTERLOGFILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
<file>${log.base}/dolphinscheduler-master.log</file>
<filter class="org.apache.dolphinscheduler.server.master.log.MasterLogFilter">
<level>INFO</level>
</filter>
<rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">
<fileNamePattern>${log.base}/dolphinscheduler-master.%d{yyyy-MM-dd_HH}.%i.log</fileNamePattern>
<maxHistory>168</maxHistory>
<maxFileSize>200MB</maxFileSize>
</rollingPolicy>
<encoder>
<pattern>
[%level] %date{yyyy-MM-dd HH:mm:ss.SSS} %logger{96}:[%line] - %msg%n
</pattern>
<charset>UTF-8</charset>
</encoder>
</appender>
<root level="INFO">
<appender-ref ref="MASTERLOGFILE"/>
</root>
</configuration>

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@ -1,33 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.AccessTokenMapper">
<select id="selectAccessTokenPage" resultType="org.apache.dolphinscheduler.dao.entity.AccessToken">
select * from t_ds_access_token t
left join t_ds_user u on t.user_id = u.id
where 1 = 1
<if test="userName != null and userName != ''">
and u.user_name like concat ('%', #{userName}, '%')
</if>
<if test="userId != 0">
and t.user_id = #{userId}
</if>
order by t.update_time desc
</select>
</mapper>

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@ -1,47 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.AlertGroupMapper">
<select id="queryAlertGroupPage" resultType="org.apache.dolphinscheduler.dao.entity.AlertGroup">
select * from t_ds_alertgroup
where 1 = 1
<if test="groupName != null and groupName != ''">
and group_name like concat('%', #{groupName}, '%')
</if>
order by update_time desc
</select>
<select id="queryByGroupName" resultType="org.apache.dolphinscheduler.dao.entity.AlertGroup">
select * from t_ds_alertgroup
where group_name=#{groupName}
</select>
<select id="queryByUserId" resultType="org.apache.dolphinscheduler.dao.entity.AlertGroup">
select * from t_ds_alertgroup t
left join t_ds_relation_user_alertgroup r on t.id=r.alertgroup_id
where r.user_id=#{userId}
</select>
<select id="queryByAlertType" resultType="org.apache.dolphinscheduler.dao.entity.AlertGroup">
select * from t_ds_alertgroup
where group_type=#{alertType}
</select>
<select id="queryAllGroupList" resultType="org.apache.dolphinscheduler.dao.entity.AlertGroup">
select *
from t_ds_alertgroup
order by update_time desc
</select>
</mapper>

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@ -1,26 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.AlertMapper">
<select id="listAlertByStatus" resultType="org.apache.dolphinscheduler.dao.entity.Alert">
select *
from t_ds_alert
where alert_status = #{alertStatus}
</select>
</mapper>

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@ -1,43 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.CommandMapper">
<select id="getOneToRun" resultType="org.apache.dolphinscheduler.dao.entity.Command">
select command.* from t_ds_command command
join t_ds_process_definition definition on command.process_definition_id = definition.id
where definition.release_state = 1 AND definition.flag = 1
order by command.update_time asc
limit 1
</select>
<select id="countCommandState" resultType="org.apache.dolphinscheduler.dao.entity.CommandCount">
select cmd.command_type as command_type, count(1) as count
from t_ds_command cmd, t_ds_process_definition process
where cmd.process_definition_id = process.id
<if test="projectIdArray != null and projectIdArray.length != 0">
and process.project_id in
<foreach collection="projectIdArray" index="index" item="i" open="(" close=")" separator=",">
#{i}
</foreach>
</if>
<if test="startTime != null and endTime != null">
and cmd.start_time <![CDATA[ >= ]]> #{startTime} and cmd.update_time <![CDATA[ <= ]]> #{endTime}
</if>
group by cmd.command_type
</select>
</mapper>

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@ -1,79 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.DataSourceMapper">
<select id="queryDataSourceByType" resultType="org.apache.dolphinscheduler.dao.entity.DataSource">
select *
from t_ds_datasource
where type=#{type}
<if test="userId != 0">
and id in
(select datasource_id
from t_ds_relation_datasource_user
where user_id=#{userId}
union select id as datasource_id
from t_ds_datasource
where user_id=#{userId}
)
</if>
</select>
<select id="selectPaging" resultType="org.apache.dolphinscheduler.dao.entity.DataSource">
select *
from t_ds_datasource
where 1 =1
<if test="userId != 0">
and id in
(select datasource_id
from t_ds_relation_datasource_user
where user_id=#{userId}
union select id as datasource_id
from t_ds_datasource
where user_id=#{userId}
)
</if>
<if test="name != null and name != ''">
and name like concat ('%', #{name}, '%')
</if>
order by update_time desc
</select>
<select id="queryDataSourceByName" resultType="org.apache.dolphinscheduler.dao.entity.DataSource">
select *
from t_ds_datasource
where name=#{name}
</select>
<select id="queryAuthedDatasource" resultType="org.apache.dolphinscheduler.dao.entity.DataSource">
select datasource.*
from t_ds_datasource datasource, t_ds_relation_datasource_user rel
where datasource.id = rel.datasource_id AND rel.user_id = #{userId}
</select>
<select id="queryDatasourceExceptUserId" resultType="org.apache.dolphinscheduler.dao.entity.DataSource">
select *
from t_ds_datasource
where user_id <![CDATA[ <> ]]> #{userId}
</select>
<select id="listAllDataSourceByType" resultType="org.apache.dolphinscheduler.dao.entity.DataSource">
select *
from t_ds_datasource
where type = #{type}
</select>
</mapper>

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@ -1,30 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.DataSourceUserMapper">
<delete id="deleteByUserId">
delete from t_ds_relation_datasource_user
where user_id = #{userId}
</delete>
<delete id="deleteByDatasourceId">
delete from t_ds_relation_datasource_user
where datasource_id = #{datasourceId}
</delete>
</mapper>

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@ -1,36 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.ErrorCommandMapper">
<select id="countCommandState" resultType="org.apache.dolphinscheduler.dao.entity.CommandCount">
select cmd.command_type as command_type, count(1) as count
from t_ds_error_command cmd, t_ds_process_definition process
where cmd.process_definition_id = process.id
<if test="projectIdArray != null and projectIdArray.length != 0">
and process.project_id in
<foreach collection="projectIdArray" index="index" item="i" open="(" close=")" separator=",">
#{i}
</foreach>
</if>
<if test="startTime != null and endTime != null">
and cmd.startTime <![CDATA[ >= ]]> #{startTime} and cmd.update_time <![CDATA[ <= ]]> #{endTime}
</if>
group by cmd.command_type
</select>
</mapper>

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@ -1,96 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.ProcessDefinitionMapper">
<select id="queryByDefineName" resultType="org.apache.dolphinscheduler.dao.entity.ProcessDefinition">
select pd.*,u.user_name,p.name as project_name,t.tenant_code,t.tenant_name,q.queue,q.queue_name
from t_ds_process_definition pd
JOIN t_ds_user u ON pd.user_id = u.id
JOIN t_ds_project p ON pd.project_id = p.id
JOIN t_ds_tenant t ON t.id = u.tenant_id
JOIN t_ds_queue q ON t.queue_id = q.id
WHERE p.id = #{projectId}
and pd.name = #{processDefinitionName}
</select>
<select id="queryDefineListPaging" resultType="org.apache.dolphinscheduler.dao.entity.ProcessDefinition">
SELECT td.*,sc.schedule_release_state,tu.user_name
FROM t_ds_process_definition td
left join (select process_definition_id,release_state as schedule_release_state from t_ds_schedules group by process_definition_id,release_state) sc on sc.process_definition_id = td.id
left join t_ds_user tu on td.user_id = tu.id
where td.project_id = #{projectId}
<if test=" isAdmin == false ">
and tu.user_type=1
</if>
<if test=" searchVal != null and searchVal != ''">
and td.name like concat('%', #{searchVal}, '%')
</if>
<if test=" userId != 0">
and td.user_id = #{userId}
</if>
order by sc.schedule_release_state desc,td.update_time desc
</select>
<select id="queryAllDefinitionList" resultType="org.apache.dolphinscheduler.dao.entity.ProcessDefinition">
select *
from t_ds_process_definition
where project_id = #{projectId}
order by create_time desc
</select>
<select id="queryDefinitionListByTenant" resultType="org.apache.dolphinscheduler.dao.entity.ProcessDefinition">
select *
from t_ds_process_definition
where tenant_id = #{tenantId}
</select>
<select id="queryDefinitionListByIdList" resultType="org.apache.dolphinscheduler.dao.entity.ProcessDefinition">
select *
from t_ds_process_definition
where id in
<foreach collection="ids" index="index" item="i" open="(" separator="," close=")">
#{i}
</foreach>
</select>
<select id="countDefinitionGroupByUser" resultType="org.apache.dolphinscheduler.dao.entity.DefinitionGroupByUser">
SELECT td.user_id as user_id, tu.user_name as user_name, count(0) as count
FROM t_ds_process_definition td
JOIN t_ds_user tu on tu.id=td.user_id
where 1 = 1
<if test=" isAdmin == false ">
and tu.user_type=1
</if>
<if test="projectIds != null and projectIds.length != 0">
and td.project_id in
<foreach collection="projectIds" index="index" item="i" open="(" separator="," close=")">
#{i}
</foreach>
</if>
group by td.user_id,tu.user_name
</select>
<select id="queryByDefineId" resultType="org.apache.dolphinscheduler.dao.entity.ProcessDefinition">
SELECT
pd.*, u.user_name,
p.name AS project_name
FROM
t_ds_process_definition pd,
t_ds_user u,
t_ds_project p
WHERE
pd.user_id = u.id AND pd.project_id = p.id
AND pd.id = #{processDefineId}
</select>
</mapper>

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@ -1,43 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.ProcessInstanceMapMapper">
<delete id="deleteByParentProcessId">
delete
from t_ds_relation_process_instance
where parent_process_instance_id=#{parentProcessId}
</delete>
<select id="queryByParentId" resultType="org.apache.dolphinscheduler.dao.entity.ProcessInstanceMap">
select *
from t_ds_relation_process_instance
where parent_process_instance_id = #{parentProcessId}
and parent_task_instance_id = #{parentTaskId}
</select>
<select id="queryBySubProcessId" resultType="org.apache.dolphinscheduler.dao.entity.ProcessInstanceMap">
select *
from t_ds_relation_process_instance
where process_instance_id = #{subProcessId}
</select>
<select id="querySubIdListByParentId" resultType="java.lang.Integer">
select process_instance_id
from t_ds_relation_process_instance
where parent_process_instance_id = #{parentInstanceId}
</select>
</mapper>

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@ -1,182 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.ProcessInstanceMapper">
<select id="queryDetailById" resultType="org.apache.dolphinscheduler.dao.entity.ProcessInstance">
select inst.*
from t_ds_process_instance inst
where inst.id = #{processId}
</select>
<select id="queryByHostAndStatus" resultType="org.apache.dolphinscheduler.dao.entity.ProcessInstance">
select *
from t_ds_process_instance
where 1=1
<if test="host != null and host != ''">
and host=#{host}
</if>
and state in
<foreach collection="states" item="i" open="(" close=")" separator=",">
#{i}
</foreach>
order by id asc
</select>
<select id="queryByTenantIdAndStatus" resultType="org.apache.dolphinscheduler.dao.entity.ProcessInstance">
select *
from t_ds_process_instance
where 1=1
<if test="tenantId != -1">
and tenant_id =#{tenantId}
</if>
and state in
<foreach collection="states" item="i" open="(" close=")" separator=",">
#{i}
</foreach>
order by id asc
</select>
<select id="queryByWorkerGroupIdAndStatus" resultType="org.apache.dolphinscheduler.dao.entity.ProcessInstance">
select *
from t_ds_process_instance
where 1=1
<if test="workerGroupId != -1">
and worker_group_id =#{workerGroupId}
</if>
and state in
<foreach collection="states" item="i" open="(" close=")" separator=",">
#{i}
</foreach>
order by id asc
</select>
<select id="queryProcessInstanceListPaging" resultType="org.apache.dolphinscheduler.dao.entity.ProcessInstance">
select instance.*
from t_ds_process_instance instance
join t_ds_process_definition define ON instance.process_definition_id = define.id
where 1=1
and instance.is_sub_process=0
and define.project_id = #{projectId}
<if test="processDefinitionId != 0">
and instance.process_definition_id = #{processDefinitionId}
</if>
<if test="searchVal != null and searchVal != ''">
and instance.name like concat('%', #{searchVal}, '%')
</if>
<if test="startTime != null ">
and instance.start_time > #{startTime} and instance.start_time <![CDATA[ <=]]> #{endTime}
</if>
<if test="states != null and states != ''">
and instance.state in
<foreach collection="states" index="index" item="i" open="(" separator="," close=")">
#{i}
</foreach>
</if>
<if test="host != null and host != ''">
and instance.host like concat('%', #{host}, '%')
</if>
order by instance.start_time desc
</select>
<update id="setFailoverByHostAndStateArray">
update t_ds_process_instance
set host=null
where host =#{host} and state in
<foreach collection="states" index="index" item="i" open="(" close=")" separator=",">
#{i}
</foreach>
</update>
<update id="updateProcessInstanceByState">
update t_ds_process_instance
set state = #{destState}
where state = #{originState}
</update>
<update id="updateProcessInstanceByTenantId">
update t_ds_process_instance
set tenant_id = #{destTenantId}
where tenant_id = #{originTenantId}
</update>
<update id="updateProcessInstanceByWorkerGroupId">
update t_ds_process_instance
set worker_group_id = #{destWorkerGroupId}
where worker_group_id = #{originWorkerGroupId}
</update>
<select id="countInstanceStateByUser" resultType="org.apache.dolphinscheduler.dao.entity.ExecuteStatusCount">
select t.state, count(0) as count
from t_ds_process_instance t
join t_ds_process_definition d on d.id=t.process_definition_id
join t_ds_project p on p.id=d.project_id
where 1 = 1
and t.is_sub_process = 0
<if test="startTime != null and endTime != null">
and t.start_time >= #{startTime} and t.start_time <![CDATA[ <= ]]> #{endTime}
</if>
<if test="projectIds != null and projectIds.length != 0">
and p.id in
<foreach collection="projectIds" index="index" item="i" open="(" close=")" separator=",">
#{i}
</foreach>
</if>
group by t.state
</select>
<select id="queryByProcessDefineId" resultType="org.apache.dolphinscheduler.dao.entity.ProcessInstance">
select *
from t_ds_process_instance
where process_definition_id=#{processDefinitionId}
order by start_time desc limit #{size}
</select>
<select id="queryLastSchedulerProcess" resultType="org.apache.dolphinscheduler.dao.entity.ProcessInstance">
select *
from t_ds_process_instance
where process_definition_id=#{processDefinitionId}
<if test="startTime!=null and endTime != null ">
and schedule_time between #{startTime} and #{endTime}
</if>
order by end_time desc limit 1
</select>
<select id="queryLastRunningProcess" resultType="org.apache.dolphinscheduler.dao.entity.ProcessInstance">
select *
from t_ds_process_instance
where 1=1
<if test="states !=null and states.length != 0">
and state in
<foreach collection="states" item="i" index="index" open="(" separator="," close=")">
#{i}
</foreach>
</if>
<if test="startTime!=null and endTime != null ">
and process_definition_id=#{processDefinitionId}
and (schedule_time between #{startTime} and #{endTime} or start_time between #{startTime} and #{endTime})
</if>
order by start_time desc limit 1
</select>
<select id="queryLastManualProcess" resultType="org.apache.dolphinscheduler.dao.entity.ProcessInstance">
select *
from t_ds_process_instance
where process_definition_id=#{processDefinitionId}
and schedule_time is null
<if test="startTime!=null and endTime != null ">
and start_time between #{startTime} and #{endTime}
</if>
order by end_time desc limit 1
</select>
</mapper>

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@ -1,68 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.ProjectMapper">
<select id="queryDetailById" resultType="org.apache.dolphinscheduler.dao.entity.Project">
select p.*,u.user_name as user_name
from t_ds_project p
join t_ds_user u on p.user_id = u.id
where p.id = #{projectId}
</select>
<select id="queryByName" resultType="org.apache.dolphinscheduler.dao.entity.Project">
select p.*,u.user_name as user_name
from t_ds_project p
join t_ds_user u on p.user_id = u.id
where p.name = #{projectName}
limit 1
</select>
<select id="queryProjectListPaging" resultType="org.apache.dolphinscheduler.dao.entity.Project">
select p.*,u.user_name as user_name,
(SELECT COUNT(*) FROM t_ds_process_definition AS def WHERE def.project_id = p.id) AS def_count,
(SELECT COUNT(*) FROM t_ds_process_definition def, t_ds_process_instance inst WHERE def.id = inst.process_definition_id AND def.project_id = p.id AND inst.state=1 ) as inst_running_count
from t_ds_project p
join t_ds_user u on u.id=p.user_id
where 1=1
<if test="userId != 0">
and p.id in
(select project_id from t_ds_relation_project_user where user_id=#{userId}
union select id as project_id from t_ds_project where user_id=#{userId}
)
</if>
<if test="searchName!=null and searchName != ''">
and p.name like concat('%', #{searchName}, '%')
</if>
order by p.create_time desc
</select>
<select id="queryAuthedProjectListByUserId" resultType="org.apache.dolphinscheduler.dao.entity.Project">
select p.*
from t_ds_project p,t_ds_relation_project_user rel
where p.id = rel.project_id and rel.user_id= #{userId}
</select>
<select id="queryProjectExceptUserId" resultType="org.apache.dolphinscheduler.dao.entity.Project">
select *
from t_ds_project
where user_id <![CDATA[ <> ]]> #{userId}
</select>
<select id="queryProjectCreatedByUser" resultType="org.apache.dolphinscheduler.dao.entity.Project">
select *
from t_ds_project
where user_id = #{userId}
</select>
</mapper>

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@ -1,36 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.ProjectUserMapper">
<delete id="deleteProjectRelation">
delete from t_ds_relation_project_user
where 1=1
and user_id = #{userId}
<if test="projectId != 0 ">
and project_id = #{projectId}
</if>
</delete>
<select id="queryProjectRelation" resultType="org.apache.dolphinscheduler.dao.entity.ProjectUser">
select *
from t_ds_relation_project_user
where project_id = #{projectId}
and user_id = #{userId}
limit 1
</select>
</mapper>

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@ -1,42 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.QueueMapper">
<select id="queryQueuePaging" resultType="org.apache.dolphinscheduler.dao.entity.Queue">
select *
from t_ds_queue
where 1= 1
<if test="searchVal != null and searchVal != ''">
and queue_name like concat('%', #{searchVal}, '%')
</if>
order by update_time desc
</select>
<select id="queryAllQueueList" resultType="org.apache.dolphinscheduler.dao.entity.Queue">
select *
from t_ds_queue
where 1=1
<if test="queue != null and queue != ''">
and queue = #{queue}
</if>
<if test="queueName != null and queueName != ''">
and queue_name =#{queueName}
</if>
</select>
</mapper>

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@ -1,74 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.ResourceMapper">
<select id="queryResourceList" resultType="org.apache.dolphinscheduler.dao.entity.Resource">
select *
from t_ds_resources
where 1= 1
<if test="alias != null and alias != ''">
and alias = #{alias}
</if>
<if test="type != -1">
and type = #{type}
</if>
<if test="userId != 0">
and user_id = #{userId}
</if>
</select>
<select id="queryResourceListAuthored" resultType="org.apache.dolphinscheduler.dao.entity.Resource">
select *
from t_ds_resources
where 1 = 1
<if test="type != -1">
and type=#{type}
</if>
and id in (select resources_id from t_ds_relation_resources_user where user_id=#{userId}
union select id as resources_id from t_ds_resources where user_id=#{userId})
</select>
<select id="queryResourcePaging" resultType="org.apache.dolphinscheduler.dao.entity.Resource">
select *
from t_ds_resources
where type=#{type}
<if test="userId != 0">
and id in (select resources_id from t_ds_relation_resources_user where user_id=#{userId}
union select id as resources_id from t_ds_resources where user_id=#{userId})
</if>
<if test="searchVal != null and searchVal != ''">
and alias like concat('%', #{searchVal}, '%')
</if>
order by update_time desc
</select>
<select id="queryAuthorizedResourceList" resultType="org.apache.dolphinscheduler.dao.entity.Resource">
select r.*
from t_ds_resources r,t_ds_relation_resources_user rel
where r.id = rel.resources_id AND rel.user_id = #{userId}
</select>
<select id="queryResourceExceptUserId" resultType="org.apache.dolphinscheduler.dao.entity.Resource">
select *
from t_ds_resources
where user_id <![CDATA[ <> ]]> #{userId}
</select>
<select id="queryTenantCodeByResourceName" resultType="java.lang.String">
select tenant_code
from t_ds_tenant t, t_ds_user u, t_ds_resources res
where t.id = u.tenant_id and u.id = res.user_id and res.type=0
and res.alias= #{resName}
</select>
</mapper>

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@ -1,32 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.ResourceUserMapper">
<delete id="deleteResourceUser">
delete
from t_ds_relation_resources_user
where 1 = 1
<if test="userId != 0">
and user_id = #{userId}
</if>
<if test="resourceId != 0">
and resources_id = #{resourceId}
</if>
</delete>
</mapper>

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@ -1,58 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.ScheduleMapper">
<select id="queryByProcessDefineIdPaging" resultType="org.apache.dolphinscheduler.dao.entity.Schedule">
select p_f.name as process_definition_name, p.name as project_name,u.user_name,s.*
from t_ds_schedules s
join t_ds_process_definition p_f on s.process_definition_id = p_f.id
join t_ds_project as p on p_f.project_id = p.id
join t_ds_user as u on s.user_id = u.id
where 1=1
<if test="processDefinitionId!= 0">
and s.process_definition_id = #{processDefinitionId}
</if>
order by s.update_time desc
</select>
<select id="querySchedulerListByProjectName" resultType="org.apache.dolphinscheduler.dao.entity.Schedule">
select p_f.name as process_definition_name, p_f.description as definition_description, p.name as project_name,u.user_name,s.*
from t_ds_schedules s
join t_ds_process_definition p_f on s.process_definition_id = p_f.id
join t_ds_project as p on p_f.project_id = p.id
join t_ds_user as u on s.user_id = u.id
where p.name = #{projectName}
</select>
<select id="selectAllByProcessDefineArray" resultType="org.apache.dolphinscheduler.dao.entity.Schedule">
select *
from t_ds_schedules
where 1= 1
<if test="processDefineIds != null and processDefineIds.length != 0 ">
and process_definition_id in
<foreach collection="processDefineIds" index="index" item="i" open="(" separator="," close=")">
#{i}
</foreach>
</if>
and release_state = 1
</select>
<select id="queryByProcessDefinitionId" resultType="org.apache.dolphinscheduler.dao.entity.Schedule">
select *
from t_ds_schedules
where process_definition_id =#{processDefinitionId}
</select>
</mapper>

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@ -1,32 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.SessionMapper">
<select id="queryByUserId" resultType="org.apache.dolphinscheduler.dao.entity.Session">
select *
from t_ds_session
where user_id = #{userId}
</select>
<select id="queryByUserIdAndIp" resultType="org.apache.dolphinscheduler.dao.entity.Session">
select *
from t_ds_session
where user_id = #{userId} AND ip = #{ip}
</select>
</mapper>

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@ -1,129 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.TaskInstanceMapper">
<update id="setFailoverByHostAndStateArray">
update t_ds_task_instance
set state = #{destStatus}
where host = #{host}
and state in
<foreach collection="states" index="index" item="i" open="(" separator="," close=")">
#{i}
</foreach>
</update>
<select id="queryTaskByProcessIdAndState" resultType="java.lang.Integer">
select id
from t_ds_task_instance
WHERE process_instance_id = #{processInstanceId}
and state = #{state}
and flag = 1
</select>
<select id="findValidTaskListByProcessId" resultType="org.apache.dolphinscheduler.dao.entity.TaskInstance">
select *
from t_ds_task_instance
WHERE process_instance_id = #{processInstanceId}
and flag = #{flag}
order by start_time desc
</select>
<select id="queryByHostAndStatus" resultType="org.apache.dolphinscheduler.dao.entity.TaskInstance">
select *
from t_ds_task_instance
where 1 = 1
<if test="host != null and host != ''">
and host = #{host}
</if>
<if test="states != null and states.length != 0">
and state in
<foreach collection="states" index="index" item="i" open="(" separator="," close=")">
#{i}
</foreach>
</if>
</select>
<select id="countTaskInstanceStateByUser" resultType="org.apache.dolphinscheduler.dao.entity.ExecuteStatusCount">
select state, count(0) as count
from t_ds_task_instance t
left join t_ds_process_definition d on d.id=t.process_definition_id
left join t_ds_project p on p.id=d.project_id
where 1=1
<if test="projectIds != null and projectIds.length != 0">
and d.project_id in
<foreach collection="projectIds" index="index" item="i" open="(" separator="," close=")">
#{i}
</foreach>
</if>
<if test="startTime != null and endTime != null">
and t.start_time > #{startTime} and t.start_time <![CDATA[ <= ]]> #{endTime}
</if>
group by t.state
</select>
<select id="queryByInstanceIdAndName" resultType="org.apache.dolphinscheduler.dao.entity.TaskInstance">
select *
from t_ds_task_instance
where process_instance_id = #{processInstanceId}
and name = #{name}
and flag = 1
limit 1
</select>
<select id="countTask" resultType="java.lang.Integer">
select count(1) as count
from t_ds_task_instance task,t_ds_process_definition process
where task.process_definition_id=process.id
<if test="projectIds != null and projectIds.length != 0">
and process.project_id in
<foreach collection="projectIds" index="index" item="i" open="(" separator="," close=")">
#{i}
</foreach>
</if>
<if test="taskIds != null and taskIds.length != 0">
and task.id in
<foreach collection="taskIds" index="index" item="i" open="(" separator="," close=")">
#{i}
</foreach>
</if>
</select>
<select id="queryTaskInstanceListPaging" resultType="org.apache.dolphinscheduler.dao.entity.TaskInstance">
select instance.*,process.name as process_instance_name
from t_ds_task_instance instance
join t_ds_process_definition define ON instance.process_definition_id = define.id
join t_ds_process_instance process on process.id=instance.process_instance_id
where define.project_id = #{projectId}
<if test="startTime != null">
and instance.start_time > #{startTime} and instance.start_time <![CDATA[ <=]]> #{endTime}
</if>
<if test="processInstanceId != 0">
and instance.process_instance_id = #{processInstanceId}
</if>
<if test="searchVal != null and searchVal != ''">
and instance.name like concat('%', #{searchVal}, '%')
</if>
<if test="taskName != null and taskName != ''">
and instance.name=#{taskName}
</if>
<if test="states != null and states.length != 0">
and instance.state in
<foreach collection="states" index="index" item="i" open="(" separator="," close=")">
#{i}
</foreach>
</if>
<if test="host != null and host != ''">
and instance.host like concat('%', #{host}, '%')
</if>
order by instance.start_time desc
</select>
</mapper>

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@ -1,41 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.TenantMapper">
<select id="queryById" resultType="org.apache.dolphinscheduler.dao.entity.Tenant">
SELECT t.*,q.queue_name,q.queue
FROM t_ds_tenant t,t_ds_queue q
WHERE t.queue_id = q.id
and t.id = #{tenantId}
</select>
<select id="queryByTenantCode" resultType="org.apache.dolphinscheduler.dao.entity.Tenant">
select *
from t_ds_tenant
where tenant_code = #{tenantCode}
</select>
<select id="queryTenantPaging" resultType="org.apache.dolphinscheduler.dao.entity.Tenant">
SELECT t.*,q.queue_name
FROM t_ds_tenant t,t_ds_queue q
WHERE t.queue_id = q.id
<if test="searchVal != null and searchVal != ''">
and t.tenant_name like concat('%', #{searchVal}, '%')
</if>
order by t.update_time desc
</select>
</mapper>

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@ -1,29 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.UDFUserMapper">
<delete id="deleteByUserId">
delete from t_ds_relation_udfs_user
where user_id = #{userId}
</delete>
<delete id="deleteByUdfFuncId">
delete from t_ds_relation_udfs_user
where udf_id = #{udfFuncId}
</delete>
</mapper>

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@ -1,71 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.UdfFuncMapper">
<select id="queryUdfByIdStr" resultType="org.apache.dolphinscheduler.dao.entity.UdfFunc">
select *
from t_ds_udfs
where 1 = 1
<if test="ids != null and ids != ''">
and id in
<foreach collection="ids" item="i" open="(" close=")" separator=",">
#{i}
</foreach>
</if>
<if test="funcNames != null and funcNames != ''">
and func_name = #{funcNames}
</if>
order by id asc
</select>
<select id="queryUdfFuncPaging" resultType="org.apache.dolphinscheduler.dao.entity.UdfFunc">
select *
from t_ds_udfs
where 1=1
<if test="searchVal!= null and searchVal != ''">
and func_name like concat('%', #{searchVal}, '%')
</if>
<if test="userId != 0">
and id in (
select udf_id from t_ds_relation_udfs_user where user_id=#{userId}
union select id as udf_id from t_ds_udfs where user_id=#{userId})
</if>
order by create_time desc
</select>
<select id="getUdfFuncByType" resultType="org.apache.dolphinscheduler.dao.entity.UdfFunc">
select *
from t_ds_udfs
where type=#{type}
<if test="userId != 0">
and id in (
select udf_id from t_ds_relation_udfs_user where user_id=#{userId}
union select id as udf_id from t_ds_udfs where user_id=#{userId})
</if>
</select>
<select id="queryUdfFuncExceptUserId" resultType="org.apache.dolphinscheduler.dao.entity.UdfFunc">
select *
from t_ds_udfs
where user_id <![CDATA[ <> ]]> #{userId}
</select>
<select id="queryAuthedUdfFunc" resultType="org.apache.dolphinscheduler.dao.entity.UdfFunc">
SELECT u.*
from t_ds_udfs u,t_ds_relation_udfs_user rel
WHERE u.id = rel.udf_id
AND rel.user_id = #{userId}
</select>
</mapper>

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@ -1,31 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.UserAlertGroupMapper">
<delete id="deleteByAlertgroupId">
delete from t_ds_relation_user_alertgroup
where alertgroup_id = #{alertgroupId}
</delete>
<select id="listUserByAlertgroupId" resultType="org.apache.dolphinscheduler.dao.entity.User">
SELECT u.*
FROM t_ds_relation_user_alertgroup g_u
JOIN t_ds_user u on g_u.user_id = u.id
WHERE g_u.alertgroup_id = #{alertgroupId}
</select>
</mapper>

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@ -1,72 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.UserMapper">
<select id="queryAllGeneralUser" resultType="org.apache.dolphinscheduler.dao.entity.User">
select * from t_ds_user
where user_type=1;
</select>
<select id="queryByUserNameAccurately" resultType="org.apache.dolphinscheduler.dao.entity.User">
select * from t_ds_user
where user_name=#{userName}
</select>
<select id="queryUserByNamePassword" resultType="org.apache.dolphinscheduler.dao.entity.User">
select * from t_ds_user
where user_name=#{userName} and user_password = #{password}
</select>
<select id="queryUserPaging" resultType="org.apache.dolphinscheduler.dao.entity.User">
select u.id,u.user_name,u.user_password,u.user_type,u.email,u.phone,u.tenant_id,u.create_time,
u.update_time,t.tenant_name,
case when u.queue <![CDATA[ <> ]]> '' then u.queue else q.queue_name end as queue, q.queue_name
from t_ds_user u
left join t_ds_tenant t on u.tenant_id=t.id
left join t_ds_queue q on t.queue_id = q.id
where 1=1
<if test="userName!=null and userName != ''" >
and u.user_name like concat ('%', #{userName}, '%')
</if>
order by u.update_time desc
</select>
<select id="queryDetailsById" resultType="org.apache.dolphinscheduler.dao.entity.User">
select u.*, t.tenant_name,
case when u.queue <![CDATA[ <> ]]> '' then u.queue else q.queue_name end as queue_name
from t_ds_user u,t_ds_tenant t,t_ds_queue q
WHERE u.tenant_id = t.id and t.queue_id = q.id and u.id = #{userId}
</select>
<select id="queryUserListByAlertGroupId" resultType="org.apache.dolphinscheduler.dao.entity.User">
select u.*
from t_ds_user u, t_ds_relation_user_alertgroup rel
where u.id = rel.user_id AND rel.alertgroup_id = #{alertgroupId}
</select>
<select id="queryUserListByTenant" resultType="org.apache.dolphinscheduler.dao.entity.User">
select *
from t_ds_user
where tenant_id = #{tenantId}
</select>
<select id="queryTenantCodeByUserId" resultType="org.apache.dolphinscheduler.dao.entity.User">
SELECT u.*,t.tenant_code
FROM t_ds_user u, t_ds_tenant t
WHERE u.tenant_id = t.id AND u.id = #{userId}
</select>
<select id="queryUserByToken" resultType="org.apache.dolphinscheduler.dao.entity.User">
select u.*
from t_ds_user u ,t_ds_access_token t
where u.id = t.user_id and token=#{token} and t.expire_time > NOW()
</select>
</mapper>

View File

@ -1,40 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="org.apache.dolphinscheduler.dao.mapper.WorkerGroupMapper">
<select id="queryAllWorkerGroup" resultType="org.apache.dolphinscheduler.dao.entity.WorkerGroup">
select *
from t_ds_worker_group
order by update_time desc
</select>
<select id="queryWorkerGroupByName" resultType="org.apache.dolphinscheduler.dao.entity.WorkerGroup">
select *
from t_ds_worker_group
where name = #{name}
</select>
<select id="queryListPaging" resultType="org.apache.dolphinscheduler.dao.entity.WorkerGroup">
select *
from t_ds_worker_group
where 1 = 1
<if test="searchVal != null and searchVal != ''">
and name like concat('%', #{searchVal}, '%')
</if>
order by update_time desc
</select>
</mapper>

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@ -1,32 +0,0 @@
#
# 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.
#
# worker execute thread num
worker.exec.threads=100
# worker heartbeat interval
worker.heartbeat.interval=10
# submit the number of tasks at a time
worker.fetch.task.num = 3
# only less than cpu avg load, worker server can work. default value : the number of cpu cores * 2
#worker.max.cpuload.avg=10
# only larger than reserved memory, worker server can work. default value : physical memory * 1/6, unit is G.
worker.reserved.memory=1

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@ -1,42 +0,0 @@
#
# 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.
#
#zookeeper cluster
zookeeper.quorum=127.0.0.1:2181
#dolphinscheduler root directory
zookeeper.dolphinscheduler.root=/dolphinscheduler
#zookeeper server dirctory
zookeeper.dolphinscheduler.dead.servers=/dolphinscheduler/dead-servers
zookeeper.dolphinscheduler.masters=/dolphinscheduler/masters
zookeeper.dolphinscheduler.workers=/dolphinscheduler/workers
#zookeeper lock dirctory
zookeeper.dolphinscheduler.lock.masters=/dolphinscheduler/lock/masters
zookeeper.dolphinscheduler.lock.workers=/dolphinscheduler/lock/workers
#dolphinscheduler failover directory
zookeeper.dolphinscheduler.lock.failover.masters=/dolphinscheduler/lock/failover/masters
zookeeper.dolphinscheduler.lock.failover.workers=/dolphinscheduler/lock/failover/workers
zookeeper.dolphinscheduler.lock.failover.startup.masters=/dolphinscheduler/lock/failover/startup-masters
#dolphinscheduler failover directory
zookeeper.session.timeout=300
zookeeper.connection.timeout=300
zookeeper.retry.sleep=1000
zookeeper.retry.maxtime=5

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@ -0,0 +1,30 @@
#alert type is EMAIL/SMS
alert.type=EMAIL
# mail server configuration
mail.protocol=SMTP
mail.server.host=smtp.office365.com
mail.server.port=587
mail.sender=qiaozhanwei@outlook.com
mail.passwd=eschedulerBJEG
# TLS
mail.smtp.starttls.enable=true
# SSL
mail.smtp.ssl.enable=false
#xls file path,need create if not exist
xls.file.path=/tmp/xls
# Enterprise WeChat configuration
enterprise.wechat.corp.id=xxxxxxx
enterprise.wechat.secret=xxxxxxx
enterprise.wechat.agent.id=xxxxxxx
enterprise.wechat.users=xxxxxxx
enterprise.wechat.token.url=https://qyapi.weixin.qq.com/cgi-bin/gettoken?corpid=$corpId&corpsecret=$secret
enterprise.wechat.push.url=https://qyapi.weixin.qq.com/cgi-bin/message/send?access_token=$token
enterprise.wechat.team.send.msg={\"toparty\":\"$toParty\",\"agentid\":\"$agentId\",\"msgtype\":\"text\",\"text\":{\"content\":\"$msg\"},\"safe\":\"0\"}
enterprise.wechat.user.send.msg={\"touser\":\"$toUser\",\"agentid\":\"$agentId\",\"msgtype\":\"markdown\",\"markdown\":{\"content\":\"$msg\"}}

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@ -0,0 +1,31 @@
<!-- Logback configuration. See http://logback.qos.ch/manual/index.html -->
<configuration scan="true" scanPeriod="120 seconds"> <!--debug="true" -->
<property name="log.base" value="logs" />
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
<encoder>
<pattern>
[%level] %date{yyyy-MM-dd HH:mm:ss.SSS} %logger{96}:[%line] - %msg%n
</pattern>
<charset>UTF-8</charset>
</encoder>
</appender>
<appender name="ALERTLOGFILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
<file>${log.base}/escheduler-alert.log</file>
<rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">
<fileNamePattern>${log.base}/escheduler-alert.%d{yyyy-MM-dd_HH}.%i.log</fileNamePattern>
<maxHistory>20</maxHistory>
<maxFileSize>64MB</maxFileSize>
</rollingPolicy>
<encoder>
<pattern>
[%level] %date{yyyy-MM-dd HH:mm:ss.SSS} %logger{96}:[%line] - %msg%n
</pattern>
<charset>UTF-8</charset>
</encoder>
</appender>
<root level="INFO">
<appender-ref ref="ALERTLOGFILE"/>
</root>
</configuration>

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@ -1,21 +1,3 @@
<?xml version="1.0" encoding="UTF-8"?>
<!--
~ 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.
-->
<!-- Logback configuration. See http://logback.qos.ch/manual/index.html -->
<configuration scan="true" scanPeriod="120 seconds">
<logger name="org.apache.zookeeper" level="WARN"/>
@ -38,9 +20,9 @@
<filter class="ch.qos.logback.classic.filter.ThresholdFilter">
<level>INFO</level>
</filter>
<file>${log.base}/dolphinscheduler-api-server.log</file>
<file>${log.base}/escheduler-api-server.log</file>
<rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">
<fileNamePattern>${log.base}/dolphinscheduler-api-server.%d{yyyy-MM-dd_HH}.%i.log</fileNamePattern>
<fileNamePattern>${log.base}/escheduler-api-server.%d{yyyy-MM-dd_HH}.%i.log</fileNamePattern>
<maxHistory>168</maxHistory>
<maxFileSize>64MB</maxFileSize>
</rollingPolicy>

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@ -0,0 +1,19 @@
# server port
server.port=12345
# session config
server.servlet.session.timeout=7200
server.servlet.context-path=/escheduler/
# file size limit for upload
spring.servlet.multipart.max-file-size=1024MB
spring.servlet.multipart.max-request-size=1024MB
#post content
server.jetty.max-http-post-size=5000000
spring.messages.encoding=UTF-8
#i18n classpath folder , file prefix messages if have many files, use "," seperator
spring.messages.basename=i18n/messages

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@ -0,0 +1 @@
logging.config=classpath:master_logback.xml

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@ -1,37 +1,20 @@
#
# 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.
#
#task queue implementation, default "zookeeper"
dolphinscheduler.queue.impl=zookeeper
escheduler.queue.impl=zookeeper
# user data directory path, self configuration, please make sure the directory exists and have read write permissions
data.basedir.path=/tmp/dolphinscheduler
data.basedir.path=/tmp/escheduler
# directory path for user data download. self configuration, please make sure the directory exists and have read write permissions
data.download.basedir.path=/tmp/dolphinscheduler/download
data.download.basedir.path=/tmp/escheduler/download
# process execute directory. self configuration, please make sure the directory exists and have read write permissions
process.exec.basepath=/tmp/dolphinscheduler/exec
process.exec.basepath=/tmp/escheduler/exec
# Users who have permission to create directories under the HDFS root path
hdfs.root.user=hdfs
# data base dir, 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
data.store2hdfs.basepath=/dolphinscheduler
# data base dir, resource file will store to this hadoop hdfs path, self configuration, please make sure the directory exists on hdfs and have read write permissions。"/escheduler" is recommended
data.store2hdfs.basepath=/escheduler
# resource upload startup type : HDFS,S3,NONE
res.upload.startup.type=NONE
@ -49,7 +32,7 @@ login.user.keytab.username=hdfs-mycluster@ESZ.COM
login.user.keytab.path=/opt/hdfs.headless.keytab
# system env path. self configuration, please make sure the directory and file exists and have read write execute permissions
dolphinscheduler.env.path=/opt/dolphinscheduler/conf/env/.dolphinscheduler_env.sh
escheduler.env.path=/opt/escheduler/conf/env/.escheduler_env.sh
#resource.view.suffixs
resource.view.suffixs=txt,log,sh,conf,cfg,py,java,sql,hql,xml

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@ -0,0 +1,18 @@
# ha or single namenode,If namenode ha needs to copy core-site.xml and hdfs-site.xml
# to the conf directorysupport s3for example : s3a://escheduler
fs.defaultFS=hdfs://mycluster:8020
# s3 needs3 endpoint
fs.s3a.endpoint=http://192.168.199.91:9010
# s3 needs3 access key
fs.s3a.access.key=A3DXS30FO22544RE
# s3 needs3 secret key
fs.s3a.secret.key=OloCLq3n+8+sdPHUhJ21XrSxTC+JK
#resourcemanager ha note this need ips , this empty if single
yarn.resourcemanager.ha.rm.ids=192.168.xx.xx,192.168.xx.xx
# If it is a single resourcemanager, you only need to configure one host name. If it is resourcemanager HA, the default configuration is fine
yarn.application.status.address=http://ark1:8088/ws/v1/cluster/apps/%s

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@ -0,0 +1,3 @@
installPath=/data1_1T/escheduler
deployUser=escheduler
ips=ark0,ark1,ark2,ark3,ark4

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@ -0,0 +1,4 @@
masters=ark0,ark1
workers=ark2,ark3,ark4
alertServer=ark3
apiServers=ark1

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@ -1,25 +1,7 @@
#
# 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.
#
# base spring data source configuration
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
# postgresql
spring.datasource.driver-class-name=org.postgresql.Driver
spring.datasource.url=jdbc:postgresql://127.0.0.1:5432/dolphinscheduler
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.url=jdbc:mysql://127.0.0.1:3306/escheduler?characterEncoding=UTF-8
spring.datasource.username=root
spring.datasource.password=root@123
@ -45,7 +27,6 @@ spring.datasource.minEvictableIdleTimeMillis=300000
#the SQL used to check whether the connection is valid requires a query statement. If validation Query is null, testOnBorrow, testOnReturn, and testWhileIdle will not work.
spring.datasource.validationQuery=SELECT 1
#check whether the connection is valid for timeout, in seconds
spring.datasource.validationQueryTimeout=3
@ -64,40 +45,9 @@ spring.datasource.keepAlive=true
spring.datasource.poolPreparedStatements=true
spring.datasource.maxPoolPreparedStatementPerConnectionSize=20
spring.datasource.spring.datasource.filters=stat,wall,log4j
spring.datasource.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
#mybatis
mybatis-plus.mapper-locations=classpath*:/org.apache.dolphinscheduler.dao.mapper/*.xml
mybatis-plus.typeEnumsPackage=org.apache.dolphinscheduler.*.enums
#Entity scan, where multiple packages are separated by a comma or semicolon
mybatis-plus.typeAliasesPackage=org.apache.dolphinscheduler.dao.entity
#Primary key type AUTO:" database ID AUTO ", INPUT:" user INPUT ID", ID_WORKER:" global unique ID (numeric type unique ID)", UUID:" global unique ID UUID";
mybatis-plus.global-config.db-config.id-type=AUTO
#Field policy IGNORED:" ignore judgment ",NOT_NULL:" not NULL judgment "),NOT_EMPTY:" not NULL judgment"
mybatis-plus.global-config.db-config.field-strategy=NOT_NULL
#The hump underline is converted
mybatis-plus.global-config.db-config.column-underline=true
mybatis-plus.global-config.db-config.logic-delete-value=-1
mybatis-plus.global-config.db-config.logic-not-delete-value=0
mybatis-plus.global-config.db-config.banner=false
#The original configuration
mybatis-plus.configuration.map-underscore-to-camel-case=true
mybatis-plus.configuration.cache-enabled=false
mybatis-plus.configuration.call-setters-on-nulls=true
mybatis-plus.configuration.jdbc-type-for-null=null
# data quality analysis is not currently in use. please ignore the following configuration
# task record flag
task.record.flag=false
task.record.datasource.url=jdbc:mysql://192.168.xx.xx:3306/etl?characterEncoding=UTF-8
task.record.datasource.username=xx
task.record.datasource.password=xx
# Logger Config
#logging.level.org.apache.dolphinscheduler.dao=debug

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@ -0,0 +1,3 @@
export PYTHON_HOME=/usr/bin/python
export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64
export PATH=$PYTHON_HOME:$JAVA_HOME/bin:$PATH

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@ -1,20 +1,3 @@
#
# 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.
#
QUERY_SCHEDULE_LIST_NOTES=query schedule list
EXECUTE_PROCESS_TAG=execute process related operation
PROCESS_INSTANCE_EXECUTOR_TAG=process instance executor related operation
@ -128,9 +111,9 @@ UPDATE_PROJECT_NOTES=update project
PROJECT_ID=project id
QUERY_PROJECT_BY_ID_NOTES=query project info by project id
QUERY_PROJECT_LIST_PAGING_NOTES=QUERY PROJECT LIST PAGING
QUERY_ALL_PROJECT_LIST_NOTES=query all project list
DELETE_PROJECT_BY_ID_NOTES=delete project by id
QUERY_UNAUTHORIZED_PROJECT_NOTES=query unauthorized project
QUERY_ALL_PROJECT_LIST_NOTES=query all project list
QUERY_AUTHORIZED_PROJECT_NOTES=query authorized project
TASK_RECORD_TAG=task record related operation
QUERY_TASK_RECORD_LIST_PAGING_NOTES=query task record list paging
@ -250,4 +233,3 @@ VERIFY_DATA_SOURCE_NOTES=verify data source
UNAUTHORIZED_DATA_SOURCE_NOTES=unauthorized data source
AUTHORIZED_DATA_SOURCE_NOTES=authorized data source
DELETE_SCHEDULER_BY_ID_NOTES=delete scheduler by id
QUERY_ALERT_GROUP_LIST_PAGING_NOTES=query alert group list paging

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@ -1,20 +1,3 @@
#
# 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.
#
QUERY_SCHEDULE_LIST_NOTES=query schedule list
EXECUTE_PROCESS_TAG=execute process related operation
PROCESS_INSTANCE_EXECUTOR_TAG=process instance executor related operation

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@ -1,20 +1,3 @@
#
# 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.
#
QUERY_SCHEDULE_LIST_NOTES=查询定时列表
PROCESS_INSTANCE_EXECUTOR_TAG=流程实例执行相关操作
RUN_PROCESS_INSTANCE_NOTES=运行流程实例
@ -189,8 +172,8 @@ VIEW_TREE_NOTES=树状图
GET_NODE_LIST_BY_DEFINITION_ID_NOTES=获得任务节点列表通过流程定义ID
PROCESS_DEFINITION_ID_LIST=流程定义id列表
QUERY_PROCCESS_DEFINITION_All_BY_PROJECT_ID_NOTES=查询流程定义通过项目ID
BATCH_DELETE_PROCESS_DEFINITION_BY_IDS_NOTES=批量删除流程定义通过流程定义ID集合
DELETE_PROCESS_DEFINITION_BY_ID_NOTES=删除流程定义通过流程定义ID
BATCH_DELETE_PROCESS_DEFINITION_BY_IDS_NOTES=批量删除流程定义通过流程定义ID集合
QUERY_PROCESS_INSTANCE_BY_ID_NOTES=查询流程实例通过流程实例ID
DELETE_PROCESS_INSTANCE_BY_ID_NOTES=删除流程实例通过流程实例ID
TASK_ID=任务实例ID

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@ -0,0 +1 @@
<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01 Transitional//EN' 'http://www.w3.org/TR/html4/loose.dtd'><html><head><title> easyscheduler</title><meta name='Keywords' content=''><meta name='Description' content=''><style type="text/css">table { margin-top:0px; padding-top:0px; border:1px solid; font-size: 14px; color: #333333; border-width: 1px; border-color: #666666; border-collapse: collapse; } table th { border-width: 1px; padding: 8px; border-style: solid; border-color: #666666; background-color: #dedede; } table td { border-width: 1px; padding: 8px; border-style: solid; border-color: #666666; background-color: #ffffff; }</style></head><body style="margin:0;padding:0"><table border="1px" cellpadding="5px" cellspacing="-10px"><thead><#if title??> ${title}</#if></thead><#if content??> ${content}</#if></table></body></html>

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@ -0,0 +1,21 @@
# master execute thread num
master.exec.threads=100
# master execute task number in parallel
master.exec.task.number=20
# master heartbeat interval
master.heartbeat.interval=10
# master commit task retry times
master.task.commit.retryTimes=5
# master commit task interval
master.task.commit.interval=100
# only less than cpu avg load, master server can work. default value : the number of cpu cores * 2
master.max.cpuload.avg=10
# only larger than reserved memory, master server can work. default value : physical memory * 1/10, unit is G.
master.reserved.memory=1

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@ -0,0 +1,34 @@
<!-- Logback configuration. See http://logback.qos.ch/manual/index.html -->
<configuration scan="true" scanPeriod="120 seconds"> <!--debug="true" -->
<property name="log.base" value="logs" />
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
<encoder>
<pattern>
[%level] %date{yyyy-MM-dd HH:mm:ss.SSS} %logger{96}:[%line] - %msg%n
</pattern>
<charset>UTF-8</charset>
</encoder>
</appender>
<appender name="MASTERLOGFILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
<file>${log.base}/escheduler-master.log</file>
<filter class="cn.escheduler.server.master.log.MasterLogFilter">
<level>INFO</level>
</filter>
<rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">
<fileNamePattern>${log.base}/escheduler-master.%d{yyyy-MM-dd_HH}.%i.log</fileNamePattern>
<maxHistory>168</maxHistory>
<maxFileSize>200MB</maxFileSize>
</rollingPolicy>
<encoder>
<pattern>
[%level] %date{yyyy-MM-dd HH:mm:ss.SSS} %logger{96}:[%line] - %msg%n
</pattern>
<charset>UTF-8</charset>
</encoder>
</appender>
<root level="INFO">
<appender-ref ref="MASTERLOGFILE"/>
</root>
</configuration>

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@ -1,24 +1,7 @@
#
# 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.
#
#============================================================================
# Configure Main Scheduler Properties
#============================================================================
org.quartz.scheduler.instanceName = DolphinScheduler
org.quartz.scheduler.instanceName = EasyScheduler
org.quartz.scheduler.instanceId = AUTO
org.quartz.scheduler.makeSchedulerThreadDaemon = true
org.quartz.jobStore.useProperties = false
@ -35,9 +18,9 @@ org.quartz.threadPool.threadPriority = 5
#============================================================================
# Configure JobStore
#============================================================================
org.quartz.jobStore.class = org.quartz.impl.jdbcjobstore.JobStoreTX
org.quartz.jobStore.driverDelegateClass = org.quartz.impl.jdbcjobstore.PostgreSQLDelegate
org.quartz.jobStore.driverDelegateClass = org.quartz.impl.jdbcjobstore.StdJDBCDelegate
org.quartz.jobStore.tablePrefix = QRTZ_
org.quartz.jobStore.isClustered = true
org.quartz.jobStore.misfireThreshold = 60000
@ -45,12 +28,12 @@ org.quartz.jobStore.clusterCheckinInterval = 5000
org.quartz.jobStore.dataSource = myDs
#============================================================================
# Configure Datasources
# Configure Datasources
#============================================================================
org.quartz.dataSource.myDs.connectionProvider.class = org.apache.dolphinscheduler.server.quartz.DruidConnectionProvider
org.quartz.dataSource.myDs.driver = org.postgresql.Driver
org.quartz.dataSource.myDs.URL=jdbc:postgresql://127.0.0.1:5432/dolphinscheduler
org.quartz.dataSource.myDs.driver = com.mysql.jdbc.Driver
org.quartz.dataSource.myDs.URL=jdbc:mysql://127.0.0.1:3306/escheduler?characterEncoding=utf8
org.quartz.dataSource.myDs.user=root
org.quartz.dataSource.myDs.password=root@123
org.quartz.dataSource.myDs.maxConnections = 10
org.quartz.dataSource.myDs.validationQuery = select 1
org.quartz.dataSource.myDs.validationQuery = select 1

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@ -0,0 +1,15 @@
# worker execute thread num
worker.exec.threads=100
# worker heartbeat interval
worker.heartbeat.interval=10
# submit the number of tasks at a time
worker.fetch.task.num = 3
# only less than cpu avg load, worker server can work. default value : the number of cpu cores * 2
#worker.max.cpuload.avg=10
# only larger than reserved memory, worker server can work. default value : physical memory * 1/6, unit is G.
worker.reserved.memory=1

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@ -1,21 +1,3 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!--
~ 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.
-->
<!-- Logback configuration. See http://logback.qos.ch/manual/index.html -->
<configuration scan="true" scanPeriod="120 seconds">
<property name="log.base" value="logs"/>
@ -31,10 +13,9 @@
<filter class="ch.qos.logback.classic.filter.ThresholdFilter">
<level>INFO</level>
</filter>
<filter class="org.apache.dolphinscheduler.server.worker.log.TaskLogFilter"></filter>
<Discriminator class="org.apache.dolphinscheduler.server.worker.log.TaskLogDiscriminator">
<filter class="cn.escheduler.server.worker.log.TaskLogFilter"></filter>
<Discriminator class="cn.escheduler.server.worker.log.TaskLogDiscriminator">
<key>taskAppId</key>
<logBase>${log.base}</logBase>
</Discriminator>
<sift>
<appender name="FILE-${taskAppId}" class="ch.qos.logback.core.FileAppender">
@ -51,13 +32,13 @@
</appender>
<appender name="WORKERLOGFILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
<file>${log.base}/dolphinscheduler-worker.log</file>
<filter class="org.apache.dolphinscheduler.server.worker.log.WorkerLogFilter">
<file>${log.base}/escheduler-worker.log</file>
<filter class="cn.escheduler.server.worker.log.WorkerLogFilter">
<level>INFO</level>
</filter>
<rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">
<fileNamePattern>${log.base}/dolphinscheduler-worker.%d{yyyy-MM-dd_HH}.%i.log</fileNamePattern>
<fileNamePattern>${log.base}/escheduler-worker.%d{yyyy-MM-dd_HH}.%i.log</fileNamePattern>
<maxHistory>168</maxHistory>
<maxFileSize>200MB</maxFileSize>
</rollingPolicy>

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@ -0,0 +1,25 @@
#zookeeper cluster
zookeeper.quorum=127.0.0.1:2181
#escheduler root directory
zookeeper.escheduler.root=/escheduler
#zookeeper server dirctory
zookeeper.escheduler.dead.servers=/escheduler/dead-servers
zookeeper.escheduler.masters=/escheduler/masters
zookeeper.escheduler.workers=/escheduler/workers
#zookeeper lock dirctory
zookeeper.escheduler.lock.masters=/escheduler/lock/masters
zookeeper.escheduler.lock.workers=/escheduler/lock/workers
#escheduler failover directory
zookeeper.escheduler.lock.failover.masters=/escheduler/lock/failover/masters
zookeeper.escheduler.lock.failover.workers=/escheduler/lock/failover/workers
zookeeper.escheduler.lock.failover.startup.masters=/escheduler/lock/failover/startup-masters
#escheduler failover directory
zookeeper.session.timeout=300
zookeeper.connection.timeout=300
zookeeper.retry.sleep=1000
zookeeper.retry.maxtime=5

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@ -1,30 +1,13 @@
#
# 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.
#
server {
listen 8888;
server_name localhost;
#charset koi8-r;
#access_log /var/log/nginx/host.access.log main;
location / {
root /opt/dolphinscheduler_source/dolphinscheduler-ui/dist;
root /opt/easyscheduler_source/escheduler-ui/dist;
index index.html index.html;
}
location /dolphinscheduler {
location /escheduler {
proxy_pass http://127.0.0.1:12345;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;

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@ -1,20 +1,3 @@
#
# 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.
#
# The number of milliseconds of each tick
tickTime=2000
# The number of ticks that the initial

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@ -1,24 +1,8 @@
#!/bin/bash
#
# 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.
#
echo "------ dolphinscheduler start - build -------"
echo "------ escheduler start - build -------"
printenv
docker build --build-arg version=$version --build-arg tar_version=$tar_version -t $DOCKER_REPO:$version .
echo "------ dolphinscheduler end - build -------"
echo "------ escheduler end - build -------"

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@ -1,20 +1,4 @@
#!/bin/bash
#
# 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.
#
echo "------ push start -------"
printenv

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@ -1,72 +1,78 @@
#!/bin/bash
#
# 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.
#
#! /bin/bash
set -e
echo "start postgresql service"
/etc/init.d/postgresql restart
echo "create user and init db"
sudo -u postgres psql <<'ENDSSH'
create user root with password 'root@123';
create database dolphinscheduler owner root;
grant all privileges on database dolphinscheduler to root;
\q
ENDSSH
echo "import sql data"
/opt/dolphinscheduler/script/create-dolphinscheduler.sh
if [ `netstat -anop|grep mysql|wc -l` -gt 0 ];then
echo "MySQL is Running."
else
MYSQL_ROOT_PWD="root@123"
ESZ_DB="escheduler"
echo "启动mysql服务"
chown -R mysql:mysql /var/lib/mysql /var/run/mysqld
find /var/lib/mysql -type f -exec touch {} \; && service mysql restart $ sleep 10
if [ ! -f /nohup.out ];then
echo "设置mysql密码"
mysql --user=root --password=root -e "UPDATE mysql.user set authentication_string=password('$MYSQL_ROOT_PWD') where user='root'; FLUSH PRIVILEGES;"
/opt/zookeeper/bin/zkServer.sh restart
echo "设置mysql权限"
mysql --user=root --password=$MYSQL_ROOT_PWD -e "GRANT ALL PRIVILEGES ON *.* TO 'root'@'%' IDENTIFIED BY '$MYSQL_ROOT_PWD' WITH GRANT OPTION; FLUSH PRIVILEGES;"
echo "创建escheduler数据库"
mysql --user=root --password=$MYSQL_ROOT_PWD -e "CREATE DATABASE IF NOT EXISTS \`$ESZ_DB\` CHARACTER SET utf8 COLLATE utf8_general_ci; FLUSH PRIVILEGES;"
echo "导入mysql数据"
nohup /opt/escheduler/script/create_escheduler.sh &
sleep 90
fi
if [ `mysql --user=root --password=$MYSQL_ROOT_PWD -s -r -e "SELECT count(TABLE_NAME) FROM information_schema.TABLES WHERE TABLE_SCHEMA='escheduler';" | grep -v count` -eq 38 ];then
echo "\`$ESZ_DB\` 表个数正确"
else
echo "\`$ESZ_DB\` 表个数不正确"
mysql --user=root --password=$MYSQL_ROOT_PWD -e "DROP DATABASE \`$ESZ_DB\`;"
echo "创建escheduler数据库"
mysql --user=root --password=$MYSQL_ROOT_PWD -e "CREATE DATABASE IF NOT EXISTS \`$ESZ_DB\` CHARACTER SET utf8 COLLATE utf8_general_ci; FLUSH PRIVILEGES;"
echo "导入mysql数据"
nohup /opt/escheduler/script/create_escheduler.sh &
sleep 90
fi
fi
/opt/zookeeper/bin/zkServer.sh restart
sleep 90
echo "start api-server"
/opt/dolphinscheduler/bin/dolphinscheduler-daemon.sh stop api-server
/opt/dolphinscheduler/bin/dolphinscheduler-daemon.sh start api-server
echo "启动api-server"
/opt/escheduler/bin/escheduler-daemon.sh stop api-server
/opt/escheduler/bin/escheduler-daemon.sh start api-server
echo "start master-server"
/opt/dolphinscheduler/bin/dolphinscheduler-daemon.sh stop master-server
python /opt/dolphinscheduler/script/del-zk-node.py 127.0.0.1 /dolphinscheduler/masters
/opt/dolphinscheduler/bin/dolphinscheduler-daemon.sh start master-server
echo "启动master-server"
/opt/escheduler/bin/escheduler-daemon.sh stop master-server
python /opt/escheduler/script/del_zk_node.py 127.0.0.1 /escheduler/masters
/opt/escheduler/bin/escheduler-daemon.sh start master-server
echo "start worker-server"
/opt/dolphinscheduler/bin/dolphinscheduler-daemon.sh stop worker-server
python /opt/dolphinscheduler/script/del-zk-node.py 127.0.0.1 /dolphinscheduler/workers
/opt/dolphinscheduler/bin/dolphinscheduler-daemon.sh start worker-server
echo "启动worker-server"
/opt/escheduler/bin/escheduler-daemon.sh stop worker-server
python /opt/escheduler/script/del_zk_node.py 127.0.0.1 /escheduler/workers
/opt/escheduler/bin/escheduler-daemon.sh start worker-server
echo "start logger-server"
/opt/dolphinscheduler/bin/dolphinscheduler-daemon.sh stop logger-server
/opt/dolphinscheduler/bin/dolphinscheduler-daemon.sh start logger-server
echo "启动logger-server"
/opt/escheduler/bin/escheduler-daemon.sh stop logger-server
/opt/escheduler/bin/escheduler-daemon.sh start logger-server
echo "start alert-server"
/opt/dolphinscheduler/bin/dolphinscheduler-daemon.sh stop alert-server
/opt/dolphinscheduler/bin/dolphinscheduler-daemon.sh start alert-server
echo "启动alert-server"
/opt/escheduler/bin/escheduler-daemon.sh stop alert-server
/opt/escheduler/bin/escheduler-daemon.sh start alert-server
echo "start nginx"
echo "启动nginx"
/etc/init.d/nginx stop
nginx &
while true
do

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Easy Scheduler Release 1.0.1
===
Easy Scheduler 1.0.1 is the second version in the 1.x series. The update is as follows:
- 1,outlook TSL email support
- 2,servlet and protobuf jar conflict resolution
- 3,create a tenant and establish a Linux user at the same time
- 4,the re-run time is negative
- 5,stand-alone and cluster can be deployed with one click of install.sh
- 6,queue support interface added
- 7,escheduler.t_escheduler_queue added create_time and update_time fields

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Easy Scheduler Release 1.0.2
===
Easy Scheduler 1.0.2 is the third version in the 1.x series. This version adds scheduling open interfaces, worker grouping (the machine group for which the specified task runs), task flow and service monitoring, and support for oracle, clickhouse, etc., as follows:
New features:
===
- [[EasyScheduler-79](https://github.com/analysys/EasyScheduler/issues/79)] scheduling the open interface through the token mode, which can be operated through the api.
- [[EasyScheduler-138](https://github.com/analysys/EasyScheduler/issues/138)] can specify the machine (group) where the task runs.
- [[EasyScheduler-139](https://github.com/analysys/EasyScheduler/issues/139)] task Process Monitoring and Master, Worker, Zookeeper Operation Status Monitoring
- [[EasyScheduler-140](https://github.com/analysys/EasyScheduler/issues/140)] workflow Definition - Increase Process Timeout Alarm
- [[EasyScheduler-134](https://github.com/analysys/EasyScheduler/issues/134)] task type supports Oracle, CLICKHOUSE, SQLSERVER, IMPALA
- [[EasyScheduler-136](https://github.com/analysys/EasyScheduler/issues/136)] sql task node can independently select CC mail users
- [[EasyScheduler-141](https://github.com/analysys/EasyScheduler/issues/141)] user Management—Users can bind queues. The user queue level is higher than the tenant queue level. If the user queue is empty, look for the tenant queue.
Enhanced
===
- [[EasyScheduler-154](https://github.com/analysys/EasyScheduler/issues/154)] Tenant code allows encoding of pure numbers or underscores
Repair:
===
- [[EasyScheduler-135](https://github.com/analysys/EasyScheduler/issues/135)] Python task can specify python version
- [[EasyScheduler-125](https://github.com/analysys/EasyScheduler/issues/125)] The mobile phone number in the user account does not recognize the opening of Unicom's latest number 166
- [[EasyScheduler-178](https://github.com/analysys/EasyScheduler/issues/178)] Fix subtle spelling mistakes in ProcessDao
- [[EasyScheduler-129](https://github.com/analysys/EasyScheduler/issues/129)] Tenant code, underlined and other special characters cannot pass the check.
Thank:
===
Last but not least, no new version was born without the contributions of the following partners:
Baoqi , chubbyjiang , coreychen , chgxtony, cmdares , datuzi , dingchao, fanguanqun , 风清扬, gaojun416 , googlechorme, hyperknob , hujiang75277381 , huanzui , kinssun, ivivi727 ,jimmy, jiangzhx , kevin5210 , lidongdai , lshmouse , lenboo, lyf198972 , lgcareer , lzy305 , moranrr , millionfor , mazhong8808, programlief, qiaozhanwei , roy110 , swxchappy , sherlock111 , samz406 , swxchappy, qq389401879 , lzy305, vkingnew, William-GuoWei , woniulinux, yyl861, zhangxin1988, yangjiajun2014, yangqinlong, yangjiajun2014, zhzhenqin, zhangluck, zhanghaicheng1, zhuyizhizhi
And many enthusiastic partners in the WeChat group! Thank you very much!

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Easy Scheduler Release 1.0.3
===
Easy Scheduler 1.0.3 is the fourth version in the 1.x series.
Enhanced
===
- [[EasyScheduler-482]](https://github.com/analysys/EasyScheduler/issues/482)sql task mail header added support for custom variables
- [[EasyScheduler-483]](https://github.com/analysys/EasyScheduler/issues/483)sql task failed to send mail, then this sql task is failed
- [[EasyScheduler-484]](https://github.com/analysys/EasyScheduler/issues/484)modify the replacement rule of the custom variable in the sql task, and support the replacement of multiple single quotes and double quotes.
- [[EasyScheduler-485]](https://github.com/analysys/EasyScheduler/issues/485)when creating a resource file, increase the verification that the resource file already exists on hdfs
Repair:
===
- [[EasyScheduler-198]](https://github.com/analysys/EasyScheduler/issues/198) the process definition list is sorted according to the timing status and update time
- [[EasyScheduler-419]](https://github.com/analysys/EasyScheduler/issues/419) fixes online creation of files, hdfs file is not created, but returns successfully
- [[EasyScheduler-481] ](https://github.com/analysys/EasyScheduler/issues/481)fixes the problem that the job does not exist at the same time.
- [[EasyScheduler-425]](https://github.com/analysys/EasyScheduler/issues/425) kills the kill of its child process when killing the task
- [[EasyScheduler-422]](https://github.com/analysys/EasyScheduler/issues/422) fixed an issue where the update time and size were not updated when updating resource files
- [[EasyScheduler-431]](https://github.com/analysys/EasyScheduler/issues/431) fixed an issue where deleting a tenant failed if hdfs was not started when the tenant was deleted
- [[EasyScheduler-485]](https://github.com/analysys/EasyScheduler/issues/486) the shell process exits, the yarn state is not final and waits for judgment.
Thank:
===
Last but not least, no new version was born without the contributions of the following partners:
Baoqi, jimmy201602, samz406, petersear, millionfor, hyperknob, fanguanqun, yangqinlong, qq389401879,
feloxx, coding-now, hymzcn, nysyxxg, chgxtony
And many enthusiastic partners in the WeChat group! Thank you very much!

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# 1.0.4 release

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# 1.0.5 release

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Easy Scheduler Release 1.1.0
===
Easy Scheduler 1.1.0 is the first release in the 1.1.x series.
New features:
===
- [[EasyScheduler-391](https://github.com/analysys/EasyScheduler/issues/391)] run a process under a specified tenement user
- [[EasyScheduler-288](https://github.com/analysys/EasyScheduler/issues/288)] feature/qiye_weixin
- [[EasyScheduler-189](https://github.com/analysys/EasyScheduler/issues/189)] security support such as Kerberos
- [[EasyScheduler-398](https://github.com/analysys/EasyScheduler/issues/398)]dministrator, with tenants (install.sh set default tenant), can create resources, projects and data sources (limited to one administrator)
- [[EasyScheduler-293](https://github.com/analysys/EasyScheduler/issues/293)]click on the parameter selected when running the process, there is no place to view, no save
- [[EasyScheduler-401](https://github.com/analysys/EasyScheduler/issues/401)]timing is easy to time every second. After the timing is completed, you can display the next trigger time on the page.
- [[EasyScheduler-493](https://github.com/analysys/EasyScheduler/pull/493)]add datasource kerberos auth and FAQ modify and add resource upload s3
Enhanced
===
- [[EasyScheduler-227](https://github.com/analysys/EasyScheduler/issues/227)] upgrade spring-boot to 2.1.x and spring to 5.x
- [[EasyScheduler-434](https://github.com/analysys/EasyScheduler/issues/434)] number of worker nodes zk and mysql are inconsistent
- [[EasyScheduler-435](https://github.com/analysys/EasyScheduler/issues/435)]authentication of the mailbox format
- [[EasyScheduler-441](https://github.com/analysys/EasyScheduler/issues/441)] prohibits running nodes from joining completed node detection
- [[EasyScheduler-400](https://github.com/analysys/EasyScheduler/issues/400)] Home page, queue statistics are not harmonious, command statistics have no data
- [[EasyScheduler-395](https://github.com/analysys/EasyScheduler/issues/395)] For fault-tolerant recovery processes, the status cannot be ** is running
- [[EasyScheduler-529](https://github.com/analysys/EasyScheduler/issues/529)] optimize poll task from zookeeper
- [[EasyScheduler-242](https://github.com/analysys/EasyScheduler/issues/242)]worker-server node gets task performance problem
- [[EasyScheduler-352](https://github.com/analysys/EasyScheduler/issues/352)]worker grouping, queue consumption problem
- [[EasyScheduler-461](https://github.com/analysys/EasyScheduler/issues/461)]view data source parameters, need to encrypt account password information
- [[EasyScheduler-396](https://github.com/analysys/EasyScheduler/issues/396)]Dockerfile optimization, and associated Dockerfile and github to achieve automatic mirroring
- [[EasyScheduler-389](https://github.com/analysys/EasyScheduler/issues/389)]service monitor cannot find the change of master/worker
- [[EasyScheduler-511](https://github.com/analysys/EasyScheduler/issues/511)]support recovery process from stop/kill nodes.
- [[EasyScheduler-399](https://github.com/analysys/EasyScheduler/issues/399)]HadoopUtils specifies user actions instead of **Deploying users
Repair:
===
- [[EasyScheduler-394](https://github.com/analysys/EasyScheduler/issues/394)] When the master&worker is deployed on the same machine, if the master&worker service is restarted, the previously scheduled tasks cannot be scheduled.
- [[EasyScheduler-469](https://github.com/analysys/EasyScheduler/issues/469)]Fix naming errors,monitor page
- [[EasyScheduler-392](https://github.com/analysys/EasyScheduler/issues/392)]Feature request: fix email regex check
- [[EasyScheduler-405](https://github.com/analysys/EasyScheduler/issues/405)]timed modification/addition page, start time and end time cannot be the same
- [[EasyScheduler-517](https://github.com/analysys/EasyScheduler/issues/517)]complement - subworkflow - time parameter
- [[EasyScheduler-532](https://github.com/analysys/EasyScheduler/issues/532)] python node does not execute the problem
- [[EasyScheduler-543](https://github.com/analysys/EasyScheduler/issues/543)]optimize datasource connection params safety
- [[EasyScheduler-569](https://github.com/analysys/EasyScheduler/issues/569)] timed tasks can't really stop
- [[EasyScheduler-463](https://github.com/analysys/EasyScheduler/issues/463)]mailbox verification does not support very suffixed mailboxes
Thank:
===
Last but not least, no new version was born without the contributions of the following partners:
Baoqi, jimmy201602, samz406, petersear, millionfor, hyperknob, fanguanqun, yangqinlong, qq389401879, chgxtony, Stanfan, lfyee, thisnew, hujiang75277381, sunnyingit, lgbo-ustc, ivivi, lzy305, JackIllkid, telltime, lipengbo2018, wuchunfu, telltime
And many enthusiastic partners in the WeChat group! Thank you very much!

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# EasyScheduler Proposal
## Abstract
EasyScheduler is a distributed ETL scheduling engine with powerful DAG visualization interface. EasyScheduler focuses on solving the problem of 'complex task dependencies & triggers ' in data processing. Just like its name, we dedicated to making the scheduling system `out of the box`.
## Proposal
EasyScheduler provides many easy-to-use features to accelerate the engineer efficiency on data ETL workflow job. We propose a new concept of 'instance of process' and 'instance of task' to let developers to tuning their jobs on the running state of workflow instead of changing the task's template. Its main objectives are as follows:
- Define the complex tasks' dependencies & triggers in a DAG graph by dragging and dropping.
- Support cluster HA.
- Support multi-tenant and parallel or serial backfilling data.
- Support automatical failure job retry and recovery.
- Support many data task types and process priority, task priority and relative task timeout alarm.
For now, EasyScheduler has a fairly huge community in China.
It is also widely adopted by many [companies and organizations](https://github.com/analysys/EasyScheduler/issues/57) as its ETL scheduling tool.
We believe that bringing EasyScheduler into ASF could advance development of a much more stronger and more diverse open source community.
Analysys submits this proposal to donate EasyScheduler's source codes and all related documentations to Apache Software Foundation.
The codes are already under Apache License Version 2.0.
- Code base: https://www.github.com/analysys/easyscheduler
- English Documentations: <https://analysys.github.io/easyscheduler_docs>
- Chinese Documentations: <https://analysys.github.io/easyscheduler_docs_cn>
## Background
We want to find a data processing tool with the following features:
- Easy to usedevelopers can build a ETL process with a very simple drag and drop operation. not only for ETL developerspeople who can't write code also can use this tool for ETL operation such as system administrator.
- Solving the problem of "complex task dependencies" , and it can monitor the ETL running status.
- Support multi-tenant.
- Support many task types: Shell, MR, Spark, SQL (mysql, postgresql, hive, sparksql), Python, Sub_Process, Procedure, etc.
- Support HA and linear scalability.
For the above reasons, we realized that no existing product met our requirements, so we decided to develop this tool ourselves. We designed EasyScheduler at the end of 2017. The first internal use version was completed in May 2018. We then iterated several internal versions and the system gradually became stabilized.
Then we open the source code of EasyScheduler on March 2019. It soon gained lot's of ETL developers interest and stars on github.
## Rationale
Many organizations (>30) (refer to [Who is using EasyScheduler](https://github.com/analysys/EasyScheduler/issues/57) ) already benefit from running EasyScheduler to make data process pipelines more easier. More than 100 [feature ideas](https://github.com/analysys/EasyScheduler/projects/1) come from EasyScheduler community. Some 3rd-party projects also plan to integrate with EasyScheduler through task plugin, such as [Scriptis](https://github.com/WeBankFinTech/Scriptis), [waterdrop](https://github.com/InterestingLab/waterdrop). These will strengthen the features of EasyScheduler.
## Current Status
### Meritocracy
EasyScheduler was incubated at Analysys in 2017 and open sourced on GitHub in March 2019. Once open sourced, we have been quickly adopted by multiple organizationsEasyScheduler has contributors and users from many companies; we have set up the Committer Team. New contributors are guided and reviewed by existed committer members.
Contributions are always welcomed and highly valued.
### Community
Now we have set development teams for EasyScheduler in Analysys, and we already have external developers who contributed the code. We already have a user group of more than 1,000 people.
We hope to grow the base of contributors by inviting all those who offer contributions through The Apache Way.
Right now, we make use of github as code hosting as well as gitter for community communication.
### Core Developers
The core developers, including experienced senior developers, are often guided by mentors.
## Known Risks
### Orphaned products
EasyScheduler is widely adopted in China by many [companies and organizations](https://github.com/analysys/EasyScheduler/issues/57). The core developers of EasyScheduler team plan to work full time on this project. Currently there are 10 use cases with more that 1000 activity tasks per day using EasyScheduler in the user's production environment. There is very little risk of EasyScheduler getting orphaned as at least two large companies (xueqiu、fengjr) are widely using it in their production, and developers from these companies have also joined Easy Scheduler's team of contributors, EasyScheduler has eight major releases so far, and and received 373 pull requests from contributors, which further demonstrates EasyScheduler as a very active project. We also plan to extend and diversify this community further through Apache.
Thus, it is very unlikely that EasyScheduler becomes orphaned.
### Inexperience with Open Source
EasyScheduler's core developers have been running it as a community-oriented open source project for some time, several of them already have experience working with open source communities, they are also active in presto, alluxio and other projects. At the same time, we will learn more open source experiences by following the Apache way in our incubator journey.
### Homogeneous Developers
The current developers work across a variety of organizations including Analysys, guandata and hydee;
some individual developers are accepted as developers of EasyScheduler as well.
Considering that fengjr and sefonsoft have shown great interests in EasyScheduler, we plan to encourage them to contribute and invite them as contributors to work together.
### Reliance on Salaried Developers
At present, eight of the core developers are paid by their employer to contribute to EasyScheduler project.
we also have some other developers and researchers taking part in the project, and we will make efforts to increase the diversity of the contributors and actively lobby for Domain experts in the workflow space to contribute.
### Relationships with Other Apache Products
EasyScheduler integrates Apache Zookeeper as one of the service registration/discovery mechanisms. EasyScheduler is deeply integrated with Apache products. It currently support many task types like Apache Hive, Apache Spark, Apache Hadoop, and so on
### A Excessive Fascination with the Apache Brand
We recognize the value and reputation that the Apache brand will bring to EasyScheduler.
However, we prefer that the community provided by the Apache Software Foundation will enable the project to achieve long-term stable development. so EasyScheduler is proposing to enter incubation at Apache in order to help efforts to diversify the community, not so much to capitalize on the Apache brand.
## Documentation
A complete set of EasyScheduler documentations is provided on github in both English and Simplified Chinese.
- [English](https://github.com/analysys/easyscheduler_docs)
- [Chinese](https://github.com/analysys/easyscheduler_docs_cn)
## Initial Source
The project consists of three distinct codebases: core and document. The address of two existed git repositories are as follows:
- <https://github.com/analysys/easyscheduler>
- <https://github.com/analysys/easyscheduler_docs>
- <https://github.com/analysys/easyscheduler_docs_cn>
## Source and Intellectual Property Submission Plan
As soon as EasyScheduler is approved to join Apache Incubator, Analysys will provide the Software Grant Agreement(SGA) and initial committers will submit ICLA(s). The code is already licensed under the Apache Software License, version 2.0.
## External Dependencies
As all backend code dependencies are managed using Apache Maven, none of the external libraries need to be packaged in a source distribution.
Most of dependencies have Apache compatible licensesand the core dependencies are as follows:
### Backend Dependency
| Dependency | License | Comments |
| ------------------------------------------------------ | ------------------------------------------------------------ | ------------- |
| bonecp-0.8.0.RELEASE.jar | Apache v2.0 | |
| byte-buddy-1.9.10.jar | Apache V2.0 | |
| c3p0-0.9.1.1.jar | GNU LESSER GENERAL PUBLIC LICENSE | will remove |
| curator-*-2.12.0.jar | Apache V2.0 | |
| druid-1.1.14.jar | Apache V2.0 | |
| fastjson-1.2.29.jar | Apache V2.0 | |
| fastutil-6.5.6.jar | Apache V2.0 | |
| grpc-*-1.9.0.jar | Apache V2.0 | |
| gson-2.8.5.jar | Apache V2.0 | |
| guava-20.0.jar | Apache V2.0 | |
| guice-*3.0.jar | Apache V2.0 | |
| hadoop-*-2.7.3.jar | Apache V2.0 | |
| hbase-*-1.1.1.jar | Apache V2.0 | |
| hive-*-2.1.0.jar | Apache V2.0 | |
| instrumentation-api-0.4.3.jar | Apache V2.0 | |
| jackson-*-2.9.8.jar | Apache V2.0 | |
| jackson-jaxrs-1.8.3.jar | LGPL Version 2.1 Apache V2.0 | will remove |
| jackson-xc-1.8.3.jar | LGPL Version 2.1 Apache V2.0 | will remove |
| javax.activation-api-1.2.0.jar | CDDL/GPLv2+CE | will remove |
| javax.annotation-api-1.3.2.jar | CDDL + GPLv2 with classpath exception | will remove |
| javax.servlet-api-3.1.0.jar | CDDL + GPLv2 with classpath exception | will remove |
| jaxb-*.jar | (CDDL 1.1) (GPL2 w/ CPE) | will remove |
| jersey-*-1.9.jar | CDDL+GPLv2 | will remove |
| jetty-*-9.4.14.v20181114.jar | Apache V2.0EPL 1.0 | |
| jna-4.5.2.jar | Apache V2.0LGPL 2.1 | will remove |
| jna-platform-4.5.2.jar | Apache V2.0LGPL 2.1 | will remove |
| jsp-api-2.x.jar | CDDLGPL 2.0 | will remove |
| log4j-1.2.17.jar | Apache V2.0 | |
| log4j-*-2.11.2.jar | Apache V2.0 | |
| logback-x.jar | dual-license EPL 1.0,LGPL 2.1 | |
| mail-1.4.5.jar | CDDL+GPLv2 | will remove |
| mybatis-3.5.1.jar | Apache V2.0 | |
| mybatis-spring-*2.0.1.jar | Apache V2.0 | |
| mysql-connector-java-5.1.34.jar | GPL 2.0 | will remove |
| netty-*-4.1.33.Final.jar | Apache V2.0 | |
| oshi-core-3.5.0.jar | EPL 1.0 | |
| parquet-hadoop-bundle-1.8.1.jar | Apache V2.0 | |
| postgresql-42.1.4.jar | BSD 2-clause | |
| protobuf-java-*3.5.1.jar | BSD 3-clause | |
| quartz-2.2.3.jar | Apache V2.0 | |
| quartz-jobs-2.2.3.jar | Apache V2.0 | |
| slf4j-api-1.7.5.jar | MIT | |
| spring-*-5.1.5.RELEASE.jar | Apache V2.0 | |
| spring-beans-5.1.5.RELEASE.jar | Apache V2.0 | |
| spring-boot-*2.1.3.RELEASE.jar | Apache V2.0 | |
| springfox-*-2.9.2.jar | Apache V2.0 | |
| stringtemplate-3.2.1.jar | BSD | |
| swagger-annotations-1.5.20.jar | Apache V2.0 | |
| swagger-bootstrap-ui-1.9.3.jar | Apache V2.0 | |
| swagger-models-1.5.20.jar | Apache V2.0 | |
| zookeeper-3.4.8.jar | Apache | |
The front-end UI currently relies on many components, and the core dependencies are as follows:
### UI Dependency
| Dependency | License | Comments |
| ------------------------------------------------------- | ------------------------------------ | ----------- |
| autoprefixer | MIT | |
| babel-core | MIT | |
| babel-eslint | MIT | |
| babel-helper-* | MIT | |
| babel-helpers | MIT | |
| babel-loader | MIT | |
| babel-plugin-syntax-* | MIT | |
| babel-plugin-transform-* | MIT | |
| babel-preset-env | MIT | |
| babel-runtime | MIT | |
| bootstrap | MIT | |
| canvg | MIT | |
| clipboard | MIT | |
| codemirror | MIT | |
| copy-webpack-plugin | MIT | |
| cross-env | MIT | |
| css-loader | MIT | |
| cssnano | MIT | |
| cyclist | MIT | |
| d3 | BSD-3-Clause | |
| dayjs | MIT | |
| echarts | Apache V2.0 | |
| env-parse | ISC | |
| extract-text-webpack-plugin | MIT | |
| file-loader | MIT | |
| globby | MIT | |
| html-loader | MIT | |
| html-webpack-ext-plugin | MIT | |
| html-webpack-plugin | MIT | |
| html2canvas | MIT | |
| jsplumb | (MIT OR GPL-2.0) | |
| lodash | MIT | |
| node-sass | MIT | |
| optimize-css-assets-webpack-plugin | MIT | |
| postcss-loader | MIT | |
| rimraf | ISC | |
| sass-loader | MIT | |
| uglifyjs-webpack-plugin | MIT | |
| url-loader | MIT | |
| util.promisify | MIT | |
| vue | MIT | |
| vue-loader | MIT | |
| vue-style-loader | MIT | |
| vue-template-compiler | MIT | |
| vuex-router-sync | MIT | |
| watchpack | MIT | |
| webpack | MIT | |
| webpack-dev-server | MIT | |
| webpack-merge | MIT | |
| xmldom | MIT,LGPL | will remove |
## Required Resources
### Git Repositories
- <https://github.com/analysys/EasyScheduler.git>
- <https://github.com/analysys/easyscheduler_docs.git>
- <https://github.com/analysys/easyscheduler_docs_cn.git>
### Issue Tracking
The community would like to continue using GitHub Issues.
### Continuous Integration tool
Jenkins
### Mailing Lists
- EasyScheduler-dev: for development discussions
- EasyScheduler-private: for PPMC discussions
- EasyScheduler-notifications: for users notifications
## Initial Committers
- William-GuoWei(guowei20m@outlook.com)
- Lidong Dai(lidong.dai@outlook.com)
- Zhanwei Qiao(qiaozhanwei@outlook.com)
- Liang Bao(baoliang.leon@gmail.com)
- Gang Li(lgcareer2019@outlook.com)
- Zijian Gong(quanquansy@gmail.com)
- Jun Gao(gaojun2048@gmail.com)
- Baoqi Wu(wubaoqi@gmail.com)
## Affiliations
- Analysys Inc: William-GuoWeiZhanwei QiaoLiang BaoGang LiJun GaoLidong Dai
- Hydee Inc: Zijian Gong
- Guandata Inc: Baoqi Wu
## Sponsors
### Champion
- Sheng Wu ( Apache Incubator PMC, [wusheng@apache.org](mailto:wusheng@apache.org))
### Mentors
- Sheng Wu ( Apache Incubator PMC, [wusheng@apache.org](mailto:wusheng@apache.org))
- ShaoFeng Shi ( Apache Incubator PMC, [shaofengshi@apache.org](mailto:wusheng@apache.org))
- Liang Chen ( Apache Software Foundation Member, [chenliang613@apache.org](mailto:chenliang613@apache.org))
### Sponsoring Entity
We are expecting the Apache Incubator could sponsor this project.

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## Q: EasyScheduler service introduction and recommended running memory
A: EasyScheduler consists of 5 services, MasterServer, WorkerServer, ApiServer, AlertServer, LoggerServer and UI.
| Service | Description |
| ------------------------- | ------------------------------------------------------------ |
| MasterServer | Mainly responsible for DAG segmentation and task status monitoring |
| WorkerServer/LoggerServer | Mainly responsible for the submission, execution and update of task status. LoggerServer is used for Rest Api to view logs through RPC |
| ApiServer | Provides the Rest Api service for the UI to call |
| AlertServer | Provide alarm service |
| UI | Front page display |
Note**Due to the large number of services, it is recommended that the single-machine deployment is preferably 4 cores and 16G or more.**
---
## Q: Why can't an administrator create a project?
A: The administrator is currently "**pure management**". There is no tenant, that is, there is no corresponding user on linux, so there is no execution permission, **so there is no project, resource and data source,** so there is no permission to create. **But there are all viewing permissions**. If you need to create a business operation such as a project, **use the administrator to create a tenant and a normal user, and then use the normal user login to operate**. We will release the administrator's creation and execution permissions in version 1.1.0, and the administrator will have all permissions.
---
## Q: Which mailboxes does the system support?
A: Support most mailboxes, qq, 163, 126, 139, outlook, aliyun, etc. are supported. Support TLS and SSL protocols, optionally configured in alert.properties
---
## Q: What are the common system variable time parameters and how do I use them?
A: Please refer to 'System parameter' in the system-manual
---
## Q: pip install kazoo This installation gives an error. Is it necessary to install?
A: This is the python connection zookeeper needs to use, must be installed
---
## Q: How to specify the machine running task
A: Use **the administrator** to create a Worker group, **specify the Worker group** when the **process definition starts**, or **specify the Worker group on the task node**. If not specified, use Default, **Default is to select one of all the workers in the cluster to use for task submission and execution.**
---
## Q: Priority of the task
A: We also support **the priority of processes and tasks**. Priority We have five levels of **HIGHEST, HIGH, MEDIUM, LOW and LOWEST**. **You can set the priority between different process instances, or you can set the priority of different task instances in the same process instance.** For details, please refer to the task priority design in the architecture-design.
----
## Q: Escheduler-grpc gives an error
A: Execute in the root directory: mvn -U clean package assembly:assembly -Dmaven.test.skip=true , then refresh the entire project
----
## Q: Does EasyScheduler support running on windows?
A: In theory, **only the Worker needs to run on Linux**. Other services can run normally on Windows. But it is still recommended to deploy on Linux.
-----
## Q: UI compiles node-sass prompt in linux: Error: EACCESS: permission denied, mkdir xxxx
A: Install **npm install node-sass --unsafe-perm** separately, then **npm install**
---
## Q: UI cannot log in normally.
A: 1, if it is node startup, check whether the .env API_BASE configuration under escheduler-ui is the Api Server service address.
2, If it is nginx booted and installed via **install-escheduler-ui.sh**, check if the proxy_pass configuration in **/etc/nginx/conf.d/escheduler.conf** is the Api Server service. address
 3, if the above configuration is correct, then please check if the Api Server service is normal, curl http://192.168.xx.xx:12345/escheduler/users/get-user-info, check the Api Server log, if Prompt cn.escheduler.api.interceptor.LoginHandlerInterceptor:[76] - session info is null, which proves that the Api Server service is normal.
4, if there is no problem above, you need to check if **server.context-path and server.port configuration** in **application.properties** is correct
---
## Q: After the process definition is manually started or scheduled, no process instance is generated.
A: 1, first **check whether the MasterServer service exists through jps**, or directly check whether there is a master service in zk from the service monitoring.
2,If there is a master service, check **the command status statistics** or whether new records are added in **t_escheduler_error_command**. If it is added, **please check the message field.**
---
## Q : The task status is always in the successful submission status.
A: 1, **first check whether the WorkerServer service exists through jps**, or directly check whether there is a worker service in zk from the service monitoring.
2,If the **WorkerServer** service is normal, you need to **check whether the MasterServer puts the task task in the zk queue. You need to check whether the task is blocked in the MasterServer log and the zk queue.**
3, if there is no problem above, you need to locate whether the Worker group is specified, but **the machine grouped by the worker is not online**.**
---
## Q: Is there a Docker image and a Dockerfile?
A: Provide Docker image and Dockerfile.
Docker image address: https://hub.docker.com/r/escheduler/escheduler_images
Dockerfile address: https://github.com/qiaozhanwei/escheduler_dockerfile/tree/master/docker_escheduler
------
## Q : Need to pay attention to the problem in install.sh
A: 1, if the replacement variable contains special characters, **use the \ transfer character to transfer**
2, installPath="/data1_1T/escheduler", **this directory can not be the same as the install.sh directory currently installed with one click.**
3, deployUser = "escheduler", **the deployment user must have sudo privileges**, because the worker is executed by sudo -u tenant sh xxx.command
4, monitorServerState = "false", whether the service monitoring script is started, the default is not to start the service monitoring script. **If the service monitoring script is started, the master and worker services are monitored every 5 minutes, and if the machine is down, it will automatically restart.**
5, hdfsStartupSate="false", whether to enable HDFS resource upload function. The default is not enabled. **If it is not enabled, the resource center cannot be used.** If enabled, you need to configure the configuration of fs.defaultFS and yarn in conf/common/hadoop/hadoop.properties. If you use namenode HA, you need to copy core-site.xml and hdfs-site.xml to the conf root directory.
Note: **The 1.0.x version does not automatically create the hdfs root directory, you need to create it yourself, and you need to deploy the user with hdfs operation permission.**
---
## Q : Process definition and process instance offline exception
A : For **versions prior to 1.0.4**, modify the code under the escheduler-api cn.escheduler.api.quartz package.
```
public boolean deleteJob(String jobName, String jobGroupName) {
lock.writeLock().lock();
try {
JobKey jobKey = new JobKey(jobName,jobGroupName);
if(scheduler.checkExists(jobKey)){
logger.info("try to delete job, job name: {}, job group name: {},", jobName, jobGroupName);
return scheduler.deleteJob(jobKey);
}else {
return true;
}
} catch (SchedulerException e) {
logger.error(String.format("delete job : %s failed",jobName), e);
} finally {
lock.writeLock().unlock();
}
return false;
}
```
---
## Q: Can the tenant created before the HDFS startup use the resource center normally?
A: No. Because the tenant created by HDFS is not started, the tenant directory will not be registered in HDFS. So the last resource will report an error.
## Q: In the multi-master and multi-worker state, the service is lost, how to be fault-tolerant
A: **Note:** **Master monitors Master and Worker services.**
1If the Master service is lost, other Masters will take over the process of the hanged Master and continue to monitor the Worker task status.
2If the Worker service is lost, the Master will monitor that the Worker service is gone. If there is a Yarn task, the Kill Yarn task will be retried.
Please see the fault-tolerant design in the architecture for details.
---
## Q : Fault tolerance for a machine distributed by Master and Worker
A: The 1.0.3 version only implements the fault tolerance of the Master startup process, and does not take the Worker Fault Tolerance. That is to say, if the Worker hangs, no Master exists. There will be problems with this process. We will add Master and Worker startup fault tolerance in version **1.1.0** to fix this problem. If you want to manually modify this problem, you need to **modify the running task for the running worker task that is running the process across the restart and has been dropped. The running process is set to the failed state across the restart**. Then resume the process from the failed node.
---
## Q : Timing is easy to set to execute every second
A : Note when setting the timing. If the first digit (* * * * * ? *) is set to *, it means execution every second. **We will add a list of recently scheduled times in version 1.1.0.** You can see the last 5 running times online at http://cron.qqe2.com/
## Q: Is there a valid time range for timing?
A: Yes, **if the timing start and end time is the same time, then this timing will be invalid timing. If the end time of the start and end time is smaller than the current time, it is very likely that the timing will be automatically deleted.**
## Q : There are several implementations of task dependencies
A 1, the task dependency between **DAG**, is **from the zero degree** of the DAG segmentation
2, there are **task dependent nodes**, you can achieve cross-process tasks or process dependencies, please refer to the (DEPENDENT) node design in the system-manual.
Note: **Cross-project processes or task dependencies are not supported**
## Q: There are several ways to start the process definition.
A: 1, in **the process definition list**, click the **Start** button.
2, **the process definition list adds a timer**, scheduling start process definition.
3, process definition **view or edit** the DAG page, any **task node right click** Start process definition.
4, you can define DAG editing for the process, set the running flag of some tasks to **prohibit running**, when the process definition is started, the connection of the node will be removed from the DAG.
## Q : Python task setting Python version
A 1**for the version after 1.0.3** only need to modify PYTHON_HOME in conf/env/.escheduler_env.sh
```
export PYTHON_HOME=/bin/python
```
Note: This is **PYTHON_HOME** , which is the absolute path of the python command, not the simple PYTHON_HOME. Also note that when exporting the PATH, you need to directly
```
export PATH=$HADOOP_HOME/bin:$SPARK_HOME1/bin:$SPARK_HOME2/bin:$PYTHON_HOME:$JAVA_HOME/bin:$HIVE_HOME/bin:$PATH
```
2For versions prior to 1.0.3, the Python task only supports the Python version of the system. It does not support specifying the Python version.
## QWorker Task will generate a child process through sudo -u tenant sh xxx.command, will kill when kill
A We will add the kill task in 1.0.4 and kill all the various child processes generated by the task.
## Q How to use the queue in EasyScheduler, what does the user queue and tenant queue mean?
A The queue in the EasyScheduler can be configured on the user or the tenant. **The priority of the queue specified by the user is higher than the priority of the tenant queue.** For example, to specify a queue for an MR task, the queue is specified by mapreduce.job.queuename.
Note: When using the above method to specify the queue, the MR uses the following methods:
```
Configuration conf = new Configuration();
GenericOptionsParser optionParser = new GenericOptionsParser(conf, args);
String[] remainingArgs = optionParser.getRemainingArgs();
```
If it is a Spark task --queue mode specifies the queue
## Q : Master or Worker reports the following alarm
<p align="center">
<img src="https://analysys.github.io/easyscheduler_docs/images/master_worker_lack_res.png" width="60%" />
</p>
A Change the value of master.properties **master.reserved.memory** under conf to a smaller value, say 0.1 or the value of worker.properties **worker.reserved.memory** is a smaller value, say 0.1
## Q: The hive version is 1.1.0+cdh5.15.0, and the SQL hive task connection is reported incorrectly.
<p align="center">
<img src="https://analysys.github.io/easyscheduler_docs/images/cdh_hive_error.png" width="60%" />
</p>
A Will hive pom
```
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-jdbc</artifactId>
<version>2.1.0</version>
</dependency>
```
change into
```
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-jdbc</artifactId>
<version>1.1.0</version>
</dependency>
```

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Easy Scheduler
============
[![License](https://img.shields.io/badge/license-Apache%202-4EB1BA.svg)](https://www.apache.org/licenses/LICENSE-2.0.html)
[![Total Lines](https://tokei.rs/b1/github/analysys/EasyScheduler?category=lines)](https://github.com/analysys/EasyScheduler)
> Easy Scheduler for Big Data
[![Stargazers over time](https://starchart.cc/analysys/EasyScheduler.svg)](https://starchart.cc/analysys/EasyScheduler)
[![EN doc](https://img.shields.io/badge/document-English-blue.svg)](README.md)
[![CN doc](https://img.shields.io/badge/文档-中文版-blue.svg)](README_zh_CN.md)
### Design features:
A distributed and easy-to-expand visual DAG workflow scheduling system. Dedicated to solving the complex dependencies in data processing, making the scheduling system `out of the box` for data processing.
Its main objectives are as follows:
- Associate the Tasks according to the dependencies of the tasks in a DAG graph, which can visualize the running state of task in real time.
- Support for many task types: Shell, MR, Spark, SQL (mysql, postgresql, hive, sparksql), Python, Sub_Process, Procedure, etc.
- Support process scheduling, dependency scheduling, manual scheduling, manual pause/stop/recovery, support for failed retry/alarm, recovery from specified nodes, Kill task, etc.
- Support process priority, task priority and task failover and task timeout alarm/failure
- Support process global parameters and node custom parameter settings
- Support online upload/download of resource files, management, etc. Support online file creation and editing
- Support task log online viewing and scrolling, online download log, etc.
- Implement cluster HA, decentralize Master cluster and Worker cluster through Zookeeper
- Support online viewing of `Master/Worker` cpu load, memory
- Support process running history tree/gantt chart display, support task status statistics, process status statistics
- Support backfilling data
- Support multi-tenant
- Support internationalization
- There are more waiting partners to explore
### What's in Easy Scheduler
Stability | Easy to use | Features | Scalability |
-- | -- | -- | --
Decentralized multi-master and multi-worker | Visualization process defines key information such as task status, task type, retry times, task running machine, visual variables and so on at a glance.  |  Support pause, recover operation | support custom task types
HA is supported by itself | All process definition operations are visualized, dragging tasks to draw DAGs, configuring data sources and resources. At the same time, for third-party systems, the api mode operation is provided. | Users on easyscheduler can achieve many-to-one or one-to-one mapping relationship through tenants and Hadoop users, which is very important for scheduling large data jobs. | The scheduler uses distributed scheduling, and the overall scheduling capability will increase linearly with the scale of the cluster. Master and Worker support dynamic online and offline.
Overload processing: Task queue mechanism, the number of schedulable tasks on a single machine can be flexibly configured, when too many tasks will be cached in the task queue, will not cause machine jam. | One-click deployment | Supports traditional shell tasks, and also support big data platform task scheduling: MR, Spark, SQL (mysql, postgresql, hive, sparksql), Python, Procedure, Sub_Process | |
### System partial screenshot
![image](https://user-images.githubusercontent.com/48329107/61368744-1f5f3b00-a8c1-11e9-9cf1-10f8557a6b3b.png)
![image](https://user-images.githubusercontent.com/48329107/61368966-9dbbdd00-a8c1-11e9-8dcc-a9469d33583e.png)
![image](https://user-images.githubusercontent.com/48329107/61372146-f347b800-a8c8-11e9-8882-66e8934ada23.png)
### Document
- <a href="https://analysys.github.io/easyscheduler_docs/backend-deployment.html" target="_blank">Backend deployment documentation</a>
- <a href="https://analysys.github.io/easyscheduler_docs/frontend-deployment.html" target="_blank">Front-end deployment documentation</a>
- [**User manual**](https://analysys.github.io/easyscheduler_docs/system-manual.html?_blank "User manual")
- [**Upgrade document**](https://analysys.github.io/easyscheduler_docs/upgrade.html?_blank "Upgrade document")
- <a href="http://52.82.13.76:8888" target="_blank">Online Demo</a>
More documentation please refer to <a href="https://analysys.github.io/easyscheduler_docs/" target="_blank">[EasyScheduler online documentation]</a>
### Recent R&D plan
Work plan of Easy Scheduler: [R&D plan](https://github.com/analysys/EasyScheduler/projects/1), where `In Develop` card is the features of 1.1.0 version , TODO card is to be done (including feature ideas)
### How to contribute code
Welcome to participate in contributing code, please refer to the process of submitting the code:
[[How to contribute code](https://github.com/analysys/EasyScheduler/issues/310)]
### Thanks
Easy Scheduler uses a lot of excellent open source projects, such as google guava, guice, grpc, netty, ali bonecp, quartz, and many open source projects of apache, etc.
It is because of the shoulders of these open source projects that the birth of the Easy Scheduler is possible. We are very grateful for all the open source software used! We also hope that we will not only be the beneficiaries of open source, but also be open source contributors, so we decided to contribute to easy scheduling and promised long-term updates. We also hope that partners who have the same passion and conviction for open source will join in and contribute to open source!
### Get Help
The fastest way to get response from our developers is to submit issues, or add our wechat : 510570367
### License
Please refer to [LICENSE](https://github.com/analysys/EasyScheduler/blob/dev/LICENSE) file.

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# Summary
* [Instruction](README.md)
* Frontend Deployment
* [Preparations](frontend-deployment.md#Preparations)
* [Deployment](frontend-deployment.md#Deployment)
* [FAQ](frontend-deployment.md#FAQ)
* Backend Deployment
* [Preparations](backend-deployment.md#Preparations)
* [Deployment](backend-deployment.md#Deployment)
* [Quick Start](quick-start.md#Quick Start)
* System Use Manual
* [Operational Guidelines](system-manual.md#Operational Guidelines)
* [Security](system-manual.md#Security)
* [Monitor center](system-manual.md#Monitor center)
* [Task Node Type and Parameter Setting](system-manual.md#Task Node Type and Parameter Setting)
* [System parameter](system-manual.md#System parameter)
* [Architecture Design](architecture-design.md)
* Front-end development
* [Development environment](frontend-development.md#Development environment)
* [Project directory structure](frontend-development.md#Project directory structure)
* [System function module](frontend-development.md#System function module)
* [Routing and state management](frontend-development.md#Routing and state management)
* [specification](frontend-development.md#specification)
* [interface](frontend-development.md#interface)
* [Extended development](frontend-development.md#Extended development)
* Backend development documentation
* [Environmental requirements](backend-development.md#Environmental requirements)
* [Project compilation](backend-development.md#Project compilation)
* [Interface documentation](http://52.82.13.76:8888/escheduler/doc.html?language=en_US&lang=en)
* FAQ
* [FAQ](EasyScheduler-FAQ.md)
* EasyScheduler upgrade documentation
* [upgrade documentation](upgrade.md)
* History release notes
* [1.1.0 release](1.1.0-release.md)
* [1.0.5 release](1.0.5-release.md)
* [1.0.4 release](1.0.4-release.md)
* [1.0.3 release](1.0.3-release.md)
* [1.0.2 release](1.0.2-release.md)
* [1.0.1 release](1.0.1-release.md)
* [1.0.0 release]

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## Architecture Design
Before explaining the architecture of the schedule system, let us first understand the common nouns of the schedule system.
### 1.Noun Interpretation
**DAG** Full name Directed Acyclic Graphreferred to as DAG。Tasks in the workflow are assembled in the form of directed acyclic graphs, which are topologically traversed from nodes with zero indegrees of ingress until there are no successor nodes. For example, the following picture:
<p align="center">
<img src="https://analysys.github.io/easyscheduler_docs_cn/images/dag_examples_cn.jpg" alt="dag示例" width="60%" />
<p align="center">
<em>dag example</em>
</p>
</p>
**Process definition**: Visualization **DAG** by dragging task nodes and establishing associations of task nodes
**Process instance**: A process instance is an instantiation of a process definition, which can be generated by manual startup or scheduling. The process definition runs once, a new process instance is generated
**Task instance**: A task instance is the instantiation of a specific task node when a process instance runs, which indicates the specific task execution status
**Task type**: Currently supports SHELL, SQL, SUB_PROCESS (sub-process), PROCEDURE, MR, SPARK, PYTHON, DEPENDENT (dependency), and plans to support dynamic plug-in extension, note: the sub-**SUB_PROCESS** is also A separate process definition that can be launched separately
**Schedule mode** : The system supports timing schedule and manual schedule based on cron expressions. Command type support: start workflow, start execution from current node, resume fault-tolerant workflow, resume pause process, start execution from failed node, complement, timer, rerun, pause, stop, resume waiting thread. Where **recovers the fault-tolerant workflow** and **restores the waiting thread** The two command types are used by the scheduling internal control and cannot be called externally
**Timed schedule**: The system uses **quartz** distributed scheduler and supports the generation of cron expression visualization
**Dependency**: The system does not only support **DAG** Simple dependencies between predecessors and successor nodes, but also provides **task dependencies** nodes, support for custom task dependencies between processes**
**Priority**: Supports the priority of process instances and task instances. If the process instance and task instance priority are not set, the default is first in, first out.
**Mail Alert**: Support **SQL Task** Query Result Email Send, Process Instance Run Result Email Alert and Fault Tolerant Alert Notification
**Failure policy**: For tasks running in parallel, if there are tasks that fail, two failure policy processing methods are provided. **Continue** means that the status of the task is run in parallel until the end of the process failure. **End** means that once a failed task is found, Kill also drops the running parallel task and the process ends.
**Complement**: Complement historical data, support ** interval parallel and serial ** two complement methods
### 2.System architecture
#### 2.1 System Architecture Diagram
<p align="center">
<img src="https://user-images.githubusercontent.com/48329107/62609545-8f973480-b934-11e9-9a58-d8133222f14d.png" alt="System Architecture Diagram" />
<p align="center">
<em>System Architecture Diagram</em>
</p>
</p>
#### 2.2 Architectural description
* **MasterServer**
MasterServer adopts the distributed non-central design concept. MasterServer is mainly responsible for DAG task split, task submission monitoring, and monitoring the health status of other MasterServer and WorkerServer.
When the MasterServer service starts, it registers a temporary node with Zookeeper, and listens to the Zookeeper temporary node state change for fault tolerance processing.
##### The service mainly contains:
- **Distributed Quartz** distributed scheduling component, mainly responsible for the start and stop operation of the scheduled task. When the quartz picks up the task, the master internally has a thread pool to be responsible for the subsequent operations of the task.
- **MasterSchedulerThread** is a scan thread that periodically scans the **command** table in the database for different business operations based on different ** command types**
- **MasterExecThread** is mainly responsible for DAG task segmentation, task submission monitoring, logic processing of various command types
- **MasterTaskExecThread** is mainly responsible for task persistence
* **WorkerServer**
- WorkerServer also adopts a distributed, non-central design concept. WorkerServer is mainly responsible for task execution and providing log services. When the WorkerServer service starts, it registers the temporary node with Zookeeper and maintains the heartbeat.
##### This service contains:
- **FetchTaskThread** is mainly responsible for continuously receiving tasks from **Task Queue** and calling **TaskScheduleThread** corresponding executors according to different task types.
- **LoggerServer** is an RPC service that provides functions such as log fragment viewing, refresh and download.
- **ZooKeeper**
The ZooKeeper service, the MasterServer and the WorkerServer nodes in the system all use the ZooKeeper for cluster management and fault tolerance. In addition, the system also performs event monitoring and distributed locking based on ZooKeeper.
We have also implemented queues based on Redis, but we hope that EasyScheduler relies on as few components as possible, so we finally removed the Redis implementation.
- **Task Queue**
The task queue operation is provided. Currently, the queue is also implemented based on Zookeeper. Since there is less information stored in the queue, there is no need to worry about too much data in the queue. In fact, we have over-measured a million-level data storage queue, which has no effect on system stability and performance.
- **Alert**
Provides alarm-related interfaces. The interfaces mainly include **Alarms**. The storage, query, and notification functions of the two types of alarm data. The notification function has two types: **mail notification** and **SNMP (not yet implemented)**.
- **API**
The API interface layer is mainly responsible for processing requests from the front-end UI layer. The service provides a RESTful api to provide request services externally.
Interfaces include workflow creation, definition, query, modification, release, offline, manual start, stop, pause, resume, start execution from this node, and more.
- **UI**
The front-end page of the system provides various visual operation interfaces of the system. For details, see the **[System User Manual] (System User Manual.md)** section.
#### 2.3 Architectural Design Ideas
##### I. Decentralized vs centralization
###### Centralization Thought
The centralized design concept is relatively simple. The nodes in the distributed cluster are divided into two roles according to their roles:
<p align="center">
<img src="https://analysys.github.io/easyscheduler_docs_cn/images/master_slave.png" alt="master-slave role" width="50%" />
</p>
- The role of Master is mainly responsible for task distribution and supervising the health status of Slave. It can dynamically balance the task to Slave, so that the Slave node will not be "busy" or "free".
- The role of the Worker is mainly responsible for the execution of the task and maintains the heartbeat with the Master so that the Master can assign tasks to the Slave.
Problems in the design of centralized :
- Once the Master has a problem, the group has no leader and the entire cluster will crash. In order to solve this problem, most Master/Slave architecture modes adopt the design scheme of the master and backup masters, which can be hot standby or cold standby, automatic switching or manual switching, and more and more new systems are available. Automatically elects the ability to switch masters to improve system availability.
- Another problem is that if the Scheduler is on the Master, although it can support different tasks in one DAG running on different machines, it will generate overload of the Master. If the Scheduler is on the Slave, all tasks in a DAG can only be submitted on one machine. If there are more parallel tasks, the pressure on the Slave may be larger.
###### Decentralization
<p align="center"
<img src="https://analysys.github.io/easyscheduler_docs_cn/images/decentralization.png" alt="decentralized" width="50%" />
</p>
- In the decentralized design, there is usually no Master/Slave concept, all roles are the same, the status is equal, the global Internet is a typical decentralized distributed system, networked arbitrary node equipment down machine , all will only affect a small range of features.
- The core design of decentralized design is that there is no "manager" that is different from other nodes in the entire distributed system, so there is no single point of failure problem. However, since there is no "manager" node, each node needs to communicate with other nodes to get the necessary machine information, and the unreliable line of distributed system communication greatly increases the difficulty of implementing the above functions.
- In fact, truly decentralized distributed systems are rare. Instead, dynamic centralized distributed systems are constantly emerging. Under this architecture, the managers in the cluster are dynamically selected, rather than preset, and when the cluster fails, the nodes of the cluster will spontaneously hold "meetings" to elect new "managers". Go to preside over the work. The most typical case is the Etcd implemented in ZooKeeper and Go.
- Decentralization of EasyScheduler is the registration of Master/Worker to ZooKeeper. The Master Cluster and the Worker Cluster are not centered, and the Zookeeper distributed lock is used to elect one Master or Worker as the “manager” to perform the task.
##### 二、Distributed lock practice
EasyScheduler uses ZooKeeper distributed locks to implement only one Master to execute the Scheduler at the same time, or only one Worker to perform task submission.
1. The core process algorithm for obtaining distributed locks is as follows
<p align="center">
<img src="https://analysys.github.io/easyscheduler_docs_cn/images/distributed_lock.png" alt="Get Distributed Lock Process" width="50%" />
</p>
2. Scheduler thread distributed lock implementation flow chart in EasyScheduler:
<p align="center">
<img src="https://analysys.github.io/easyscheduler_docs_cn/images/distributed_lock_procss.png" alt="Get Distributed Lock Process" width="50%" />
</p>
##### Third, the thread is insufficient loop waiting problem
- If there is no subprocess in a DAG, if the number of data in the Command is greater than the threshold set by the thread pool, the direct process waits or fails.
- If a large number of sub-processes are nested in a large DAG, the following figure will result in a "dead" state:
<p align="center">
<img src="https://analysys.github.io/easyscheduler_docs_cn/images/lack_thread.png" alt="Thread is not enough to wait for loop" width="50%" />
</p>
In the above figure, MainFlowThread waits for SubFlowThread1 to end, SubFlowThread1 waits for SubFlowThread2 to end, SubFlowThread2 waits for SubFlowThread3 to end, and SubFlowThread3 waits for a new thread in the thread pool, then the entire DAG process cannot end, and thus the thread cannot be released. This forms the state of the child parent process loop waiting. At this point, the scheduling cluster will no longer be available unless a new Master is started to add threads to break such a "stuck."
It seems a bit unsatisfactory to start a new Master to break the deadlock, so we proposed the following three options to reduce this risk:
1. Calculate the sum of the threads of all Masters, and then calculate the number of threads required for each DAG, that is, pre-calculate before the DAG process is executed. Because it is a multi-master thread pool, the total number of threads is unlikely to be obtained in real time.
2. Judge the single master thread pool. If the thread pool is full, let the thread fail directly.
3. Add a Command type with insufficient resources. If the thread pool is insufficient, the main process will be suspended. This way, the thread pool has a new thread, which can make the process with insufficient resources hang up and wake up again.
Note: The Master Scheduler thread is FIFO-enabled when it gets the Command.
So we chose the third way to solve the problem of insufficient threads.
##### IV. Fault Tolerant Design
Fault tolerance is divided into service fault tolerance and task retry. Service fault tolerance is divided into two types: Master Fault Tolerance and Worker Fault Tolerance.
###### 1. Downtime fault tolerance
Service fault tolerance design relies on ZooKeeper's Watcher mechanism. The implementation principle is as follows:
<p align="center">
<img src="https://analysys.github.io/easyscheduler_docs_cn/images/fault-tolerant.png" alt="EasyScheduler Fault Tolerant Design" width="40%" />
</p>
The Master monitors the directories of other Masters and Workers. If the remove event is detected, the process instance is fault-tolerant or the task instance is fault-tolerant according to the specific business logic.
- Master fault tolerance flow chart:
<p align="center">
<img src="https://analysys.github.io/easyscheduler_docs_cn/images/fault-tolerant_master.png" alt="Master Fault Tolerance Flowchart" width="40%" />
</p>
After the ZooKeeper Master is fault-tolerant, it is rescheduled by the Scheduler thread in EasyScheduler. It traverses the DAG to find the "Running" and "Submit Successful" tasks, and monitors the status of its task instance for the "Running" task. You need to determine whether the Task Queue already exists. If it exists, monitor the status of the task instance. If it does not exist, resubmit the task instance.
- Worker fault tolerance flow chart:
<p align="center">
<img src="https://analysys.github.io/easyscheduler_docs_cn/images/fault-tolerant_worker.png" alt="Worker Fault Tolerance Flowchart" width="40%" />
</p>
Once the Master Scheduler thread finds the task instance as "need to be fault tolerant", it takes over the task and resubmits.
Note: Because the "network jitter" may cause the node to lose the heartbeat of ZooKeeper in a short time, the node's remove event occurs. In this case, we use the easiest way, that is, once the node has timeout connection with ZooKeeper, it will directly stop the Master or Worker service.
###### 2. Task failure retry
Here we must first distinguish between the concept of task failure retry, process failure recovery, and process failure rerun:
- Task failure Retry is task level, which is automatically performed by the scheduling system. For example, if a shell task sets the number of retries to 3 times, then the shell task will try to run up to 3 times after failing to run.
- Process failure recovery is process level, is done manually, recovery can only be performed from the failed node ** or ** from the current node **
- Process failure rerun is also process level, is done manually, rerun is from the start node
Next, let's talk about the topic, we divided the task nodes in the workflow into two types.
- One is a business node, which corresponds to an actual script or processing statement, such as a Shell node, an MR node, a Spark node, a dependent node, and so on.
- There is also a logical node, which does not do the actual script or statement processing, but the logical processing of the entire process flow, such as sub-flow sections.
Each ** service node** can configure the number of failed retries. When the task node fails, it will automatically retry until it succeeds or exceeds the configured number of retries. **Logical node** does not support failed retry. But the tasks in the logical nodes support retry.
If there is a task failure in the workflow that reaches the maximum number of retries, the workflow will fail to stop, and the failed workflow can be manually rerun or process resumed.
##### V. Task priority design
In the early scheduling design, if there is no priority design and fair scheduling design, it will encounter the situation that the task submitted first may be completed simultaneously with the task submitted subsequently, but the priority of the process or task cannot be set. We have redesigned this, and we are currently designing it as follows:
- According to ** different process instance priority ** prioritizes ** same process instance priority ** prioritizes ** task priority within the same process ** takes precedence over ** same process ** commit order from high Go to low for task processing.
- The specific implementation is to resolve the priority according to the json of the task instance, and then save the ** process instance priority _ process instance id_task priority _ task id** information in the ZooKeeper task queue, when obtained from the task queue, Through string comparison, you can get the task that needs to be executed first.
- The priority of the process definition is that some processes need to be processed before other processes. This can be configured at the start of the process or at the time of scheduled start. There are 5 levels, followed by HIGHEST, HIGH, MEDIUM, LOW, and LOWEST. As shown below
<p align="center">
<img src="https://analysys.github.io/easyscheduler_docs_cn/images/process_priority.png" alt="Process Priority Configuration" width="40%" />
</p>
- The priority of the task is also divided into 5 levels, followed by HIGHEST, HIGH, MEDIUM, LOW, and LOWEST. As shown below
<p align="center">
<img src="https://analysys.github.io/easyscheduler_docs_cn/images/task_priority.png" alt="task priority configuration" width="35%" />
</p>
##### VI. Logback and gRPC implement log access
- Since the Web (UI) and Worker are not necessarily on the same machine, viewing the log is not as it is for querying local files. There are two options:
- Put the logs on the ES search engine
- Obtain remote log information through gRPC communication
- Considering the lightweightness of EasyScheduler as much as possible, gRPC was chosen to implement remote access log information.
<p align="center">
<img src="https://analysys.github.io/easyscheduler_docs_cn/images/grpc.png" alt="grpc remote access" width="50%" />
</p>
- We use a custom Logback FileAppender and Filter function to generate a log file for each task instance.
- The main implementation of FileAppender is as follows:
```java
/**
* task log appender
*/
Public class TaskLogAppender extends FileAppender<ILoggingEvent> {
...
@Override
Protected void append(ILoggingEvent event) {
If (currentlyActiveFile == null){
currentlyActiveFile = getFile();
}
String activeFile = currentlyActiveFile;
// thread name: taskThreadName-processDefineId_processInstanceId_taskInstanceId
String threadName = event.getThreadName();
String[] threadNameArr = threadName.split("-");
// logId = processDefineId_processInstanceId_taskInstanceId
String logId = threadNameArr[1];
...
super.subAppend(event);
}
}
```
Generate a log in the form of /process definition id/process instance id/task instance id.log
- Filter matches the thread name starting with TaskLogInfo:
- TaskLogFilter is implemented as follows:
```java
/**
* task log filter
*/
Public class TaskLogFilter extends Filter<ILoggingEvent> {
@Override
Public FilterReply decide(ILoggingEvent event) {
If (event.getThreadName().startsWith("TaskLogInfo-")){
Return FilterReply.ACCEPT;
}
Return FilterReply.DENY;
}
}
```
### summary
Starting from the scheduling, this paper introduces the architecture principle and implementation ideas of the big data distributed workflow scheduling system-EasyScheduler. To be continued

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# Backend Deployment Document
There are two deployment modes for the backend:
- automatic deployment
- source code compile and then deployment
## Preparations
Download the latest version of the installation package, download address [gitee download](https://gitee.com/easyscheduler/EasyScheduler/attach_files/) or [github download](https://github.com/analysys/EasyScheduler/releases), download escheduler-backend-x.x.x.tar.gz(back-end referred to as escheduler-backend),escheduler-ui-x.x.x.tar.gz(front-end referred to as escheduler-ui)
#### Preparations 1: Installation of basic software (self-installation of required items)
* [Mysql](http://geek.analysys.cn/topic/124) (5.5+) : Mandatory
* [JDK](https://www.oracle.com/technetwork/java/javase/downloads/index.html) (1.8+) : Mandatory
* [ZooKeeper](https://www.jianshu.com/p/de90172ea680)(3.4.6+) Mandatory
* [Hadoop](https://blog.csdn.net/Evankaka/article/details/51612437)(2.6+) Optionally, if you need to use the resource upload function, MapReduce task submission needs to configure Hadoop (uploaded resource files are currently stored on Hdfs)
* [Hive](https://staroon.pro/2017/12/09/HiveInstall/)(1.2.1) : Optional, hive task submission needs to be installed
* Spark(1.x,2.x) : Optional, Spark task submission needs to be installed
* PostgreSQL(8.2.15+) : Optional, PostgreSQL PostgreSQL stored procedures need to be installed
```
Note: Easy Scheduler itself does not rely on Hadoop, Hive, Spark, PostgreSQL, but only calls their Client to run the corresponding tasks.
```
#### Preparations 2: Create deployment users
- Deployment users are created on all machines that require deployment scheduling, because the worker service executes jobs in `sudo-u {linux-user}`, so deployment users need sudo privileges and are confidential.
```
vi /etc/sudoers
# For example, the deployment user is an escheduler account
escheduler ALL=(ALL) NOPASSWD: NOPASSWD: ALL
# And you need to comment out the Default requiretty line
#Default requiretty
```
#### Preparations 3: SSH Secret-Free Configuration
Configure SSH secret-free login on deployment machines and other installation machines. If you want to install easyscheduler on deployment machines, you need to configure native password-free login itself.
- [Connect the host and other machines SSH](http://geek.analysys.cn/topic/113)
#### Preparations 4: database initialization
* Create databases and accounts
Execute the following command to create database and account
```
CREATE DATABASE escheduler DEFAULT CHARACTER SET utf8 DEFAULT COLLATE utf8_general_ci;
GRANT ALL PRIVILEGES ON escheduler.* TO '{user}'@'%' IDENTIFIED BY '{password}';
GRANT ALL PRIVILEGES ON escheduler.* TO '{user}'@'localhost' IDENTIFIED BY '{password}';
flush privileges;
```
* creates tables and imports basic data
Modify the following attributes in ./conf/dao/data_source.properties
```
spring.datasource.url
spring.datasource.username
spring.datasource.password
```
Execute scripts for creating tables and importing basic data
```
sh ./script/create-escheduler.sh
```
#### Preparations 5: Modify the deployment directory permissions and operation parameters
instruction of escheduler-backend directory
```directory
bin : Basic service startup script
conf : Project Profile
lib : The project relies on jar packages, including individual module jars and third-party jars
script : Cluster Start, Stop and Service Monitor Start and Stop scripts
sql : The project relies on SQL files
install.sh : One-click deployment script
```
- Modify permissions (please modify the 'deployUser' to the corresponding deployment user) so that the deployment user has operational privileges on the escheduler-backend directory
`sudo chown -R deployUser:deployUser escheduler-backend`
- Modify the `.escheduler_env.sh` environment variable in the conf/env/directory
- Modify deployment parameters (depending on your server and business situation):
- Modify the parameters in **install.sh** to replace the values required by your business
- MonitorServerState switch variable, added in version 1.0.3, controls whether to start the self-start script (monitor master, worker status, if off-line will start automatically). The default value of "false" means that the self-start script is not started, and if it needs to start, it is changed to "true".
- 'hdfsStartupSate' switch variable controls whether to start hdfs
The default value of "false" means not to start hdfs
Change the variable to 'true' if you want to use hdfs, you also need to create the hdfs root path by yourself, that 'hdfsPath' in install.sh.
- If you use hdfs-related functions, you need to copy**hdfs-site.xml** and **core-site.xml** to the conf directory
## Deployment
Automated deployment is recommended, and experienced partners can use source deployment as well.
### Automated Deployment
- Install zookeeper tools
`pip install kazoo`
- Switch to deployment user, one-click deployment
`sh install.sh`
- Use the `jps` command to check if the services are started (`jps` comes from `Java JDK`)
```aidl
MasterServer ----- Master Service
WorkerServer ----- Worker Service
LoggerServer ----- Logger Service
ApiApplicationServer ----- API Service
AlertServer ----- Alert Service
```
If all services are normal, the automatic deployment is successful
After successful deployment, the log can be viewed and stored in a specified folder.
```logPath
logs/
├── escheduler-alert-server.log
├── escheduler-master-server.log
|—— escheduler-worker-server.log
|—— escheduler-api-server.log
|—— escheduler-logger-server.log
```
### Compile source code to deploy
After downloading the release version of the source package, unzip it into the root directory
* Execute the compilation command
```
mvn -U clean package assembly:assembly -Dmaven.test.skip=true
```
* View directory
After normal compilation, ./target/escheduler-{version}/ is generated in the current directory
### Start-and-stop services commonly used in systems (for service purposes, please refer to System Architecture Design for details)
* stop all services in the cluster
` sh ./bin/stop-all.sh`
* start all services in the cluster
` sh ./bin/start-all.sh`
* start and stop one master server
```master
sh ./bin/escheduler-daemon.sh start master-server
sh ./bin/escheduler-daemon.sh stop master-server
```
* start and stop one worker server
```worker
sh ./bin/escheduler-daemon.sh start worker-server
sh ./bin/escheduler-daemon.sh stop worker-server
```
* start and stop api server
```Api
sh ./bin/escheduler-daemon.sh start api-server
sh ./bin/escheduler-daemon.sh stop api-server
```
* start and stop logger server
```Logger
sh ./bin/escheduler-daemon.sh start logger-server
sh ./bin/escheduler-daemon.sh stop logger-server
```
* start and stop alert server
```Alert
sh ./bin/escheduler-daemon.sh start alert-server
sh ./bin/escheduler-daemon.sh stop alert-server
```
## Database Upgrade
Database upgrade is a function added in version 1.0.2. The database can be upgraded automatically by executing the following command:
```upgrade
sh ./script/upgrade-escheduler.sh
```

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# Backend development documentation
## Environmental requirements
* [Mysql](http://geek.analysys.cn/topic/124) (5.5+) : Must be installed
* [JDK](https://www.oracle.com/technetwork/java/javase/downloads/index.html) (1.8+) : Must be installed
* [ZooKeeper](https://mirrors.tuna.tsinghua.edu.cn/apache/zookeeper)(3.4.6+) Must be installed
* [Maven](http://maven.apache.org/download.cgi)(3.3+) Must be installed
Because the escheduler-rpc module in EasyScheduler uses Grpc, you need to use Maven to compile the generated classes.
For those who are not familiar with maven, please refer to: [maven in five minutes](http://maven.apache.org/guides/getting-started/maven-in-five-minutes.html)(3.3+)
http://maven.apache.org/install.html
## Project compilation
After importing the EasyScheduler source code into the development tools such as Idea, first convert to the Maven project (right click and select "Add Framework Support")
* Execute the compile command:
```
mvn -U clean package assembly:assembly -Dmaven.test.skip=true
```
* View directory
After normal compilation, it will generate ./target/escheduler-{version}/ in the current directory.
```
bin
conf
lib
script
sql
install.sh
```
- Description
```
bin : basic service startup script
conf : project configuration file
lib : the project depends on the jar package, including the various module jars and third-party jars
script : cluster start, stop, and service monitoring start and stop scripts
sql : project depends on sql file
install.sh : one-click deployment script
```

23
docs/en_US/book.json Normal file
View File

@ -0,0 +1,23 @@
{
"title": "EasyScheduler",
"author": "",
"description": "Scheduler",
"language": "en-US",
"gitbook": "3.2.3",
"styles": {
"website": "./styles/website.css"
},
"structure": {
"readme": "README.md"
},
"plugins":[
"expandable-chapters",
"insert-logo-link"
],
"pluginsConfig": {
"insert-logo-link": {
"src": "http://geek.analysys.cn/static/upload/236/2019-03-29/379450b4-7919-4707-877c-4d33300377d4.png",
"url": "https://github.com/analysys/EasyScheduler"
}
}
}

View File

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# frontend-deployment
The front-end has three deployment modes: automated deployment, manual deployment and compiled source deployment.
## Preparations
#### Download the installation package
Please download the latest version of the installation package, download address [gitee](https://gitee.com/easyscheduler/EasyScheduler/attach_files/)
After downloading escheduler-ui-x.x.x.tar.gzdecompress`tar -zxvf escheduler-ui-x.x.x.tar.gz ./`and enter the`escheduler-ui`directory
## Deployment
Automated deployment is recommended for either of the following two ways
### Automated Deployment
Edit the installation file`vi install-escheduler-ui.sh` in the` escheduler-ui` directory
Change the front-end access port and the back-end proxy interface address
```
# Configure the front-end access port
esc_proxy="8888"
# Configure proxy back-end interface
esc_proxy_port="http://192.168.xx.xx:12345"
```
>Front-end automatic deployment based on Linux system `yum` operation, before deployment, please install and update`yum`
under this directory, execute`./install-escheduler-ui.sh`
### Manual Deployment
Install epel source `yum install epel-release -y`
Install Nginx `yum install nginx -y`
> #### Nginx configuration file address
```
/etc/nginx/conf.d/default.conf
```
> #### Configuration information (self-modifying)
```
server {
listen 8888;# access port
server_name localhost;
#charset koi8-r;
#access_log /var/log/nginx/host.access.log main;
location / {
root /xx/dist; # the dist directory address decompressed by the front end above (self-modifying)
index index.html index.html;
}
location /escheduler {
proxy_pass http://192.168.xx.xx:12345; # interface address (self-modifying)
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header x_real_ipP $remote_addr;
proxy_set_header remote_addr $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_http_version 1.1;
proxy_connect_timeout 4s;
proxy_read_timeout 30s;
proxy_send_timeout 12s;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "upgrade";
}
#error_page 404 /404.html;
# redirect server error pages to the static page /50x.html
#
error_page 500 502 503 504 /50x.html;
location = /50x.html {
root /usr/share/nginx/html;
}
}
```
> #### Restart the Nginx service
```
systemctl restart nginx
```
#### nginx command
- enable `systemctl enable nginx`
- restart `systemctl restart nginx`
- status `systemctl status nginx`
## FAQ
#### Upload file size limit
Edit the configuration file `vi /etc/nginx/nginx.conf`
```
# change upload size
client_max_body_size 1024m
```

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# Front-end development documentation
### Technical selection
```
Vue mvvm framework
Es6 ECMAScript 6.0
Ans-ui Analysys-ui
D3 Visual Library Chart Library
Jsplumb connection plugin library
Lodash high performance JavaScript utility library
```
### Development environment
- #### Node installation
Node package download (note version 8.9.4) `https://nodejs.org/download/release/v8.9.4/`
- #### Front-end project construction
Use the command line mode `cd` enter the `escheduler-ui` project directory and execute `npm install` to pull the project dependency package.
> If `npm install` is very slow
> You can enter the Taobao image command line to enter `npm install -g cnpm --registry=https://registry.npm.taobao.org`
> Run `cnpm install`
- Create a new `.env` file or the interface that interacts with the backend
Create a new` .env` file in the `escheduler-ui `directory, add the ip address and port of the backend service to the file, and use it to interact with the backend. The contents of the` .env` file are as follows:
```
# Proxy interface address (modified by yourself)
API_BASE = http://192.168.xx.xx:12345
# If you need to access the project with ip, you can remove the "#" (example)
#DEV_HOST = 192.168.xx.xx
```
> ##### ! ! ! Special attention here. If the project reports a "node-sass error" error while pulling the dependency package, execute the following command again after execution.
```
npm install node-sass --unsafe-perm //单独安装node-sass依赖
```
- #### Development environment operation
- `npm start` project development environment (after startup address http://localhost:8888/#/)
#### Front-end project release
- `npm run build` project packaging (after packaging, the root directory will create a folder called dist for publishing Nginx online)
Run the `npm run build` command to generate a package file (dist) package
Copy it to the corresponding directory of the server (front-end service static page storage directory)
Visit address` http://localhost:8888/#/`
#### Start with node and daemon under Linux
Install pm2 `npm install -g pm2`
Execute `pm2 start npm -- run dev` to start the project in the project `escheduler-ui `root directory
#### command
- Start `pm2 start npm -- run dev`
- Stop `pm2 stop npm`
- delete `pm2 delete npm`
- Status `pm2 list`
```
[root@localhost escheduler-ui]# pm2 start npm -- run dev
[PM2] Applying action restartProcessId on app [npm](ids: 0)
[PM2] [npm](0) ✓
[PM2] Process successfully started
┌──────────┬────┬─────────┬──────┬──────┬────────┬─────────┬────────┬─────┬──────────┬──────┬──────────┐
│ App name │ id │ version │ mode │ pid │ status │ restart │ uptime │ cpu │ mem │ user │ watching │
├──────────┼────┼─────────┼──────┼──────┼────────┼─────────┼────────┼─────┼──────────┼──────┼──────────┤
│ npm │ 0 │ N/A │ fork │ 6168 │ online │ 31 │ 0s │ 0% │ 5.6 MB │ root │ disabled │
└──────────┴────┴─────────┴──────┴──────┴────────┴─────────┴────────┴─────┴──────────┴──────┴──────────┘
Use `pm2 show <id|name>` to get more details about an app
```
### Project directory structure
`build` some webpack configurations for packaging and development environment projects
`node_modules` development environment node dependency package
`src` project required documents
`src => combo` project third-party resource localization `npm run combo` specific view `build/combo.js`
`src => font` Font icon library can be added by visiting https://www.iconfont.cn Note: The font library uses its own secondary development to reintroduce its own library `src/sass/common/_font.scss`
`src => images` public image storage
`src => js` js/vue
`src => lib` internal components of the company (company component library can be deleted after open source)
`src => sass` sass file One page corresponds to a sass file
`src => view` page file One page corresponds to an html file
```
> Projects are developed using vue single page application (SPA)
- All page entry files are in the `src/js/conf/${ corresponding page filename => home} index.js` entry file
- The corresponding sass file is in `src/sass/conf/${corresponding page filename => home}/index.scss`
- The corresponding html file is in `src/view/${corresponding page filename => home}/index.html`
```
Public module and utill `src/js/module`
`components` => internal project common components
`download` => download component
`echarts` => chart component
`filter` => filter and vue pipeline
`i18n` => internationalization
`io` => io request encapsulation based on axios
`mixin` => vue mixin public part for disabled operation
`permissions` => permission operation
`util` => tool
### System function module
Home => `http://localhost:8888/#/home`
Project Management => `http://localhost:8888/#/projects/list`
```
| Project Home
| Workflow
- Workflow definition
- Workflow instance
- Task instance
```
Resource Management => `http://localhost:8888/#/resource/file`
```
| File Management
| udf Management
- Resource Management
- Function management
```
Data Source Management => `http://localhost:8888/#/datasource/list`
Security Center => `http://localhost:8888/#/security/tenant`
```
| Tenant Management
| User Management
| Alarm Group Management
- master
- worker
```
User Center => `http://localhost:8888/#/user/account`
## Routing and state management
The project `src/js/conf/home` is divided into
`pages` => route to page directory
```
The page file corresponding to the routing address
```
`router` => route management
```
vue router, the entry file index.js in each page will be registered. Specific operations: https://router.vuejs.org/zh/
```
`store` => status management
```
The page corresponding to each route has a state management file divided into:
actions => mapActions => Detailshttps://vuex.vuejs.org/zh/guide/actions.html
getters => mapGetters => Detailshttps://vuex.vuejs.org/zh/guide/getters.html
index => entrance
mutations => mapMutations => Detailshttps://vuex.vuejs.org/zh/guide/mutations.html
state => mapState => Detailshttps://vuex.vuejs.org/zh/guide/state.html
Specific actionhttps://vuex.vuejs.org/zh/
```
## specification
## Vue specification
##### 1.Component name
The component is named multiple words and is connected with a wire (-) to avoid conflicts with HTML tags and a clearer structure.
```
// positive example
export default {
name: 'page-article-item'
}
```
##### 2.Component files
The internal common component of the `src/js/module/components` project writes the folder name with the same name as the file name. The subcomponents and util tools that are split inside the common component are placed in the internal `_source` folder of the component.
```
└── components
├── header
├── header.vue
└── _source
└── nav.vue
└── util.js
├── conditions
├── conditions.vue
└── _source
└── search.vue
└── util.js
```
##### 3.Prop
When you define Prop, you should always name it in camel format (camelCase) and use the connection line (-) when assigning values to the parent component.This follows the characteristics of each language, because it is case-insensitive in HTML tags, and the use of links is more friendly; in JavaScript, the more natural is the hump name.
```
// Vue
props: {
articleStatus: Boolean
}
// HTML
<article-item :article-status="true"></article-item>
```
The definition of Prop should specify its type, defaults, and validation as much as possible.
Example
```
props: {
attrM: Number,
attrA: {
type: String,
required: true
},
attrZ: {
type: Object,
// The default value of the array/object should be returned by a factory function
default: function () {
return {
msg: 'achieve you and me'
}
}
},
attrE: {
type: String,
validator: function (v) {
return !(['success', 'fail'].indexOf(v) === -1)
}
}
}
```
##### 4.v-for
When performing v-for traversal, you should always bring a key value to make rendering more efficient when updating the DOM.
```
<ul>
<li v-for="item in list" :key="item.id">
{{ item.title }}
</li>
</ul>
```
v-for should be avoided on the same element as v-if (`for example: <li>`) because v-for has a higher priority than v-if. To avoid invalid calculations and rendering, you should try to use v-if Put it on top of the container's parent element.
```
<ul v-if="showList">
<li v-for="item in list" :key="item.id">
{{ item.title }}
</li>
</ul>
```
##### 5.v-if / v-else-if / v-else
If the elements in the same set of v-if logic control are logically identical, Vue reuses the same part for more efficient element switching, `such as: value`. In order to avoid the unreasonable effect of multiplexing, you should add key to the same element for identification.
```
<div v-if="hasData" key="mazey-data">
<span>{{ mazeyData }}</span>
</div>
<div v-else key="mazey-none">
<span>no data</span>
</div>
```
##### 6.Instruction abbreviation
In order to unify the specification, the instruction abbreviation is always used. Using `v-bind`, `v-on` is not bad. Here is only a unified specification.
```
<input :value="mazeyUser" @click="verifyUser">
```
##### 7.Top-level element order of single file components
Styles are packaged in a file, all the styles defined in a single vue file, the same name in other files will also take effect. All will have a top class name before creating a component.
Note: The sass plugin has been added to the project, and the sas syntax can be written directly in a single vue file.
For uniformity and ease of reading, they should be placed in the order of `<template>`、`<script>`、`<style>`.
```
<template>
<div class="test-model">
test
</div>
</template>
<script>
export default {
name: "test",
data() {
return {}
},
props: {},
methods: {},
watch: {},
beforeCreate() {
},
created() {
},
beforeMount() {
},
mounted() {
},
beforeUpdate() {
},
updated() {
},
beforeDestroy() {
},
destroyed() {
},
computed: {},
components: {},
}
</script>
<style lang="scss" rel="stylesheet/scss">
.test-model {
}
</style>
```
## JavaScript specification
##### 1.var / let / const
It is recommended to no longer use var, but use let / const, prefer const. The use of any variable must be declared in advance, except that the function defined by function can be placed anywhere.
##### 2.quotes
```
const foo = 'after division'
const bar = `${foo}ront-end engineer`
```
##### 3.function
Anonymous functions use the arrow function uniformly. When multiple parameters/return values are used, the object's structure assignment is used first.
```
function getPersonInfo ({name, sex}) {
// ...
return {name, gender}
}
```
The function name is uniformly named with a camel name. The beginning of the capital letter is a constructor. The lowercase letters start with ordinary functions, and the new operator should not be used to operate ordinary functions.
##### 4.object
```
const foo = {a: 0, b: 1}
const bar = JSON.parse(JSON.stringify(foo))
const foo = {a: 0, b: 1}
const bar = {...foo, c: 2}
const foo = {a: 3}
Object.assign(foo, {b: 4})
const myMap = new Map([])
for (let [key, value] of myMap.entries()) {
// ...
}
```
##### 5.module
Unified management of project modules using import / export.
```
// lib.js
export default {}
// app.js
import app from './lib'
```
Import is placed at the top of the file.
If the module has only one output value, use `export default`otherwise no.
## HTML / CSS
##### 1.Label
Do not write the type attribute when referencing external CSS or JavaScript. The HTML5 default type is the text/css and text/javascript properties, so there is no need to specify them.
```
<link rel="stylesheet" href="//www.test.com/css/test.css">
<script src="//www.test.com/js/test.js"></script>
```
##### 2.Naming
The naming of Class and ID should be semantic, and you can see what you are doing by looking at the name; multiple words are connected by a link.
```
// positive example
.test-header{
font-size: 20px;
}
```
##### 3.Attribute abbreviation
CSS attributes use abbreviations as much as possible to improve the efficiency and ease of understanding of the code.
```
// counter example
border-width: 1px;
border-style: solid;
border-color: #ccc;
// positive example
border: 1px solid #ccc;
```
##### 4.Document type
The HTML5 standard should always be used.
```
<!DOCTYPE html>
```
##### 5.Notes
A block comment should be written to a module file.
```
/**
* @module mazey/api
* @author Mazey <mazey@mazey.net>
* @description test.
* */
```
## interface
##### All interfaces are returned as Promise
Note that non-zero is wrong for catching catch
```
const test = () => {
return new Promise((resolve, reject) => {
resolve({
a:1
})
})
}
// transfer
test.then(res => {
console.log(res)
// {a:1}
})
```
Normal return
```
{
code:0,
data:{}
msg:'success'
}
```
错误返回
```
{
code:10000,
data:{}
msg:'failed'
}
```
##### Related interface path
dag related interface `src/js/conf/home/store/dag/actions.js`
Data Source Center Related Interfaces `src/js/conf/home/store/datasource/actions.js`
Project Management Related Interfaces `src/js/conf/home/store/projects/actions.js`
Resource Center Related Interfaces `src/js/conf/home/store/resource/actions.js`
Security Center Related Interfaces `src/js/conf/home/store/security/actions.js`
User Center Related Interfaces `src/js/conf/home/store/user/actions.js`
## Extended development
##### 1.Add node
(1) First place the icon icon of the node in the `src/js/conf/home/pages/dag/img `folder, and note the English name of the node defined by the `toolbar_${in the background. For example: SHELL}.png`
(2) Find the `tasksType` object in `src/js/conf/home/pages/dag/_source/config.js` and add it to it.
```
'DEPENDENT': { // The background definition node type English name is used as the key value
desc: 'DEPENDENT', // tooltip desc
color: '#2FBFD8' // The color represented is mainly used for tree and gantt
}
```
(3) Add a `${node type (lowercase)}`.vue file in `src/js/conf/home/pages/dag/_source/formModel/tasks`. The contents of the components related to the current node are written here. Must belong to a node component must have a function _verification () After the verification is successful, the relevant data of the current component is thrown to the parent component.
```
/**
* Verification
*/
_verification () {
// datasource subcomponent verification
if (!this.$refs.refDs._verifDatasource()) {
return false
}
// verification function
if (!this.method) {
this.$message.warning(`${i18n.$t('Please enter method')}`)
return false
}
// localParams subcomponent validation
if (!this.$refs.refLocalParams._verifProp()) {
return false
}
// store
this.$emit('on-params', {
type: this.type,
datasource: this.datasource,
method: this.method,
localParams: this.localParams
})
return true
}
```
(4) Common components used inside the node component are under` _source`, and `commcon.js` is used to configure public data.
##### 2.Increase the status type
(1) Find the `tasksState` object in `src/js/conf/home/pages/dag/_source/config.js` and add it to it.
```
'WAITTING_DEPEND': { // 'WAITTING_DEPEND': { //后端定义状态类型 前端用作key值
id: 11, // front-end definition id is used as a sort
desc: `${i18n.$t('waiting for dependency')}`, // tooltip desc
color: '#5101be', // The color represented is mainly used for tree and gantt
icoUnicode: '&#xe68c;', // font icon
isSpin: false // whether to rotate (requires code judgment)
}
```
##### 3.Add the action bar tool
(1) Find the `toolOper` object in `src/js/conf/home/pages/dag/_source/config.js` and add it to it.
```
{
code: 'pointer', // tool identifier
icon: '&#xe781;', // tool icon
disable: disable, // disable
desc: `${i18n.$t('Drag node and selected item')}` // tooltip desc
}
```
(2) Tool classes are returned as a constructor `src/js/conf/home/pages/dag/_source/plugIn`
`downChart.js` => dag image download processing
`dragZoom.js` => mouse zoom effect processing
`jsPlumbHandle.js` => drag and drop line processing
`util.js` => belongs to the `plugIn` tool class
The operation is handled in the `src/js/conf/home/pages/dag/_source/dag.js` => `toolbarEvent` event.
##### 3.Add a routing page
(1) First add a routing address`src/js/conf/home/router/index.js` in route management
```
routing address{
path: '/test', // routing address
name: 'test', // alias
component: resolve => require(['../pages/test/index'], resolve), // route corresponding component entry file
meta: {
title: `${i18n.$t('test')} - EasyScheduler` // title display
}
},
```
(2)Create a `test` folder in `src/js/conf/home/pages` and create an `index.vue `entry file in the folder.
This will give you direct access to`http://localhost:8888/#/test`
##### 4.Increase the preset mailbox
Find the `src/lib/localData/email.js` startup and timed email address input to automatically pull down the match.
```
export default ["test@analysys.com.cn","test1@analysys.com.cn","test3@analysys.com.cn"]
```
##### 5.Authority management and disabled state processing
The permission gives the userType according to the backUser interface `getUserInfo` interface: `"ADMIN_USER/GENERAL_USER" `permission to control whether the page operation button is `disabled`.
specific operation`src/js/module/permissions/index.js`
disabled processing`src/js/module/mixin/disabledState.js`

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