tag | b8e9cc4d7575442df2ac5d63edfe932179f929ff | |
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tagger | root <root@localhost.localdomain> | Tue May 30 20:45:28 2023 +0800 |
object | 23302054559410093573fb169336bafeb02db97f |
[maven-release-plugin] copy for tag 2.0.9
commit | 23302054559410093573fb169336bafeb02db97f | [log] [tgz] |
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author | root <root@localhost.localdomain> | Tue May 30 20:45:17 2023 +0800 |
committer | root <root@localhost.localdomain> | Tue May 30 20:45:17 2023 +0800 |
tree | 689cd03f5afc63d922e5364b4704376a62300aa9 | |
parent | f8f6302068c2e9b7de428a03bb0d00c4f36d3d51 [diff] |
[maven-release-plugin] prepare release 2.0.9
DolphinScheduler is a distributed and extensible workflow scheduler platform with powerful DAG visual interfaces, dedicated to solving complex job dependencies in the data pipeline and providing various types of jobs available out of the box
.
Its main objectives are as follows:
Stability | Accessibility | Features | Scalability |
---|---|---|---|
Decentralized multi-master and multi-worker | Visualization of workflow key information, such as task status, task type, retry times, task operation machine information, visual variables, and so on at a glance. | Support pause, recover operation | Support customized task types |
support HA | Visualization of all workflow operations, dragging tasks to draw DAGs, configuring data sources and resources. At the same time, for third-party systems, provide API mode operations. | 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 supports distributed scheduling, and the overall scheduling capability will increase linearly with the scale of the cluster. Master and Worker support dynamic adjustment. |
Overload processing: By using the task queue mechanism, the number of schedulable tasks on a single machine can be flexibly configured. Machine jam can be avoided with high tolerance to numbers of tasks cached in task queue. | One-click deployment | Support traditional shell tasks, and big data platform task scheduling: MR, Spark, SQL (MySQL, PostgreSQL, hive, spark SQL), Python, Procedure, Sub_Process |
Please refer the official website document: QuickStart in Docker
Please refer to the official website document: QuickStart in Kubernetes
./mvnw clean install -Prelease
Artifact:
dolphinscheduler-dist/target/apache-dolphinscheduler-${latest.release.version}-bin.tar.gz: Binary package of DolphinScheduler dolphinscheduler-dist/target/apache-dolphinscheduler-${latest.release.version}-src.tar.gz: Source code package of DolphinScheduler
DolphinScheduler is based on a lot of excellent open-source projects, such as Google guava, guice, grpc, netty, quartz, and many open-source projects of Apache and so on. We would like to express our deep gratitude to all the open-source projects used in Dolphin Scheduler. We hope that we are not only the beneficiaries of open-source, but also give back to the community. Besides, we hope everyone who have the same enthusiasm and passion for open source could join in and contribute to the open-source community!
You are very welcome to communicate with the developers and users of Dolphin Scheduler. There are two ways to find them:
The community welcomes everyone to contribute, please refer to this page to find out more: How to contribute.
Please refer to the LICENSE file.