Hi all, After the discussion of DolphinScheduler(was EasyScheduler) proposal (discussion thread: https://lists.apache.org/thread.html/d3ac53bddf91391e54f63d042a0b3d60f2aecfbb99780bcc00b4db6e@%3Cgeneral.incubator.apache.org%3E ), I would like to call a VOTE to accept it into the Apache Incubator.
Please cast your vote: [ ] +1, bring DolphinScheduler into Incubator [ ] +0, I don't care either way [ ] -1, do not bring DolphinScheduler into Incubator, because... The vote will open at least for 72 hours and only votes from the Incubator PMC are binding. ====== Abstract DolphinScheduler is a distributed ETL scheduling engine with powerful DAG visualization interface. DolphinScheduler 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. *Current project name of DolphinScheduler is EasyScheduler, will change it after it is accepted by Incubator.* Proposal DolphinScheduler provides many easy-to-use features to accelerate the engineering 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, DolphinScheduler 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 DolphinScheduler into ASF could advance development of a much more stronger and more diverse open source community. Analysys submits this proposal to donate DolphinScheduler'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 use，developers can build a ETL process with a very simple drag and drop operation. not only for ETL developers，people who can't write code also can use this tool for ETL operation such as system adminitrator. - 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 DolphinScheduler 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 DolphinScheduler 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 DolphinScheduler <https://github.com/analysys/EasyScheduler/issues/57> ) already benefit from running DolphinScheduler to make data process pipelines more easier. More than 100 feature ideas <https://github.com/analysys/EasyScheduler/projects/1> come from DolphinScheduler community. Some 3rd-party projects also plan to integrate with DolphinScheduler through task plugin, such as Scriptis <https://github.com/WeBankFinTech/Scriptis>, waterdrop <https://github.com/InterestingLab/waterdrop>. These will strengthen the features of DolphinScheduler. Current StatusMeritocracy DolphinScheduler was incubated at Analysys in 2017 and open sourced on GitHub in March 2019. Once open sourced, we have been quickly adopted by multiple organizations，DolphinScheduler 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 DolphinScheduler 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 RisksOrphaned products DolphinScheduler is widely adopted in China by many companies and organizations <https://github.com/analysys/EasyScheduler/issues/57>. The core developers of DolphinScheduler team plan to work full time on this project. Currently there are 10 use cases with more that 1000 activity tasks per day using DolphinScheduler in the user's production environment. There is very little risk of DolphinScheduler 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, DolphinScheduler has eight major releases so far, and and received 373 pull requests from contributors, which further demonstrates DolphinScheduler as a very active project. We also plan to extend and diversify this community further through Apache. Thus, it is very unlikely that DolphinScheduler becomes orphaned. Inexperience with Open Source DolphinScheduler'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. Homogenous Developers The current developers work across a variety of organizations including Analysys, guandata and hydee; some individual developers are accepted as developers of DolphinScheduler as well. Considering that fengjr and sefonsoft have shown great interests in DolphinScheduler, 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 DolphinScheduler 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 DolphinScheduler integrates Apache Zookeeper as one of the service registration/discovery mechanisms. DolphinScheduler 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 DolphinScheduler. However, we prefer that the community provided by the Apache Software Foundation will enable the project to achieve long-term stable development. so DolphinScheduler 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 DolphinScheduler 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 DolphinScheduler is approved to join Apache Incubator, Analysys will provide the Software Grant Agreement(SGA) and intial 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 licenses，and the detail as follows: Most of dependencies have Apache compatible licenses，and 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 V2.0，EPL 1.0 jna-4.5.2.jar Apache V2.0，LGPL 2.1 will remove jna-platform-4.5.2.jar Apache V2.0，LGPL 2.1 will remove jsp-api-2.x.jar CDDL，GPL 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 ResourcesGit 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 - DolphinScheduler-dev: for development discussions - DolphinScheduler-private: for PPMC discussions - DolphinScheduler-notifications: for users notifications Initial Committers - William-GuoWei(guowei...@outlook.com) - Lidong Dai(lidong....@outlook.com) - Zhanwei Qiao(qiaozhan...@outlook.com) - Liang Bao(baoliang.l...@gmail.com) - Gang Li(lgcareer2...@outlook.com) - Zijian Gong(quanqua...@gmail.com) - Jun Gao(gaojun2...@gmail.com) - Baoqi Wu(wuba...@gmail.com) Affiliations - Analysys Inc: William-GuoWei，Zhanwei Qiao，Liang Bao，Gang Li，Jun Gao，Lidong Dai - Hydee Inc: Zijian Gong - Guandata Inc: Baoqi Wu SponsorsChampion - Sheng Wu ( Apache Incubator PMC, wush...@apache.org) Mentors - Sheng Wu ( Apache Incubator PMC, wush...@apache.org) - ShaoFeng Shi ( Apache Incubator PMC, shaofeng...@apache.org <wush...@apache.org>) - Liang Chen ( Apache Incubator PMC, Apache member, chenliang...@apache.org ) - Furkan KAMACI ( Apache Incubator PMC, kam...@apache.org) - Kevin Ratnasekera ( Apache Incubator PMC, Apache member, djkevi...@apache.org) Sponsoring Entity We are expecting the Apache Incubator could sponsor this project. Sheng Wu 吴晟 Apache SkyWalking, ShardingSphere, Zipkin Twitter, wusheng1108
