| tag | 9383dd039565a493f5d5ebfb2ce6078a29d8b9db | |
|---|---|---|
| tagger | lgcareer <18610854716@163.com> | Wed Dec 25 19:17:42 2019 +0800 |
| object | 8dc64f085f06bd3354d844b4d1674b84abba03bb |
[maven-release-plugin] copy for tag 1.2.0
| commit | 8dc64f085f06bd3354d844b4d1674b84abba03bb | [log] [tgz] |
|---|---|---|
| author | lgcareer <18610854716@163.com> | Wed Dec 25 19:17:32 2019 +0800 |
| committer | lgcareer <18610854716@163.com> | Wed Dec 25 19:17:32 2019 +0800 |
| tree | 84d41c6a5914114ca90507a248d14224276279b5 | |
| parent | 4bf1f55d860acf5100fef0d014db0d8d7b1bfeb7 [diff] |
[maven-release-plugin] prepare release 1.2.0
Dolphin Scheduler for Big Data
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:
Master/Worker cpu load, memory| 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. |
| 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 |
Backend deployment documentation
Front-end deployment documentation
Online Demo
More documentation please refer to [DolphinScheduler online documentation]
Work plan of Dolphin Scheduler: R&D plan, Under the In Develop card is what is currently being developed, TODO card is to be done (including feature ideas)
Welcome to participate in contributing code, please refer to the process of submitting the code: [How to contribute code]
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
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. It is because of the shoulders of these open source projects that the birth of the Dolphin 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. We also hope that partners who have the same passion and conviction for open source will join in and contribute to open source!
Please refer to LICENSE file.