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Posted to dev@dolphinscheduler.apache.org by kerwin zhuang <ke...@apache.org> on 2022/01/17 01:26:00 UTC
[ANNOUNCE] Apache DolphinScheduler 2.0.3 will be released on January 20th
Hi all:
Many thanks to everyone who is following the Apache DolphinScheduler
community.
Apache DolphinScheduler is pleased to announce that Apache DolphinScheduler
version 2.0.3 will be released on January 20th.
If you have any questions, please refer to DolphinScheduler Resources:
- Official website: https://dolphinscheduler.apache.org/
- GitHub:https://github.com/apache/dolphinscheduler
- Issue: https://github.com/apache/dolphinscheduler/issues/
- Mailing list: dev@dolphinscheduler.apache.org
- Documents:
https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/quick-start.html
*About DolphinScheduler:*
Apache DolphinScheduler is a cloud-native visual Big Data workflow
scheduler system.
As a distributed and extensible data workflow scheduler platform with rich
directed acyclic graph (DAG) visual interfaces, DolphinScheduler solves
complex task dependencies and triggers in the data pipeline. Out-of-the-box,
its easy-to-extend processing connects numerous systems to 600,000-level
data task scheduling.
Apache DolphinScheduler is:
- Cloud Native — support multi-cloud/data center workflow management, also
supports Kubernetes, Docker deployment and custom task types, distributed
scheduling, with overall scheduling capability, increased linearly with the
scale of the cluster
- Support multi-tenant
- Highly Reliable — decentralized multi-master and multi-worker, high
availability, supported by itself, overload processing
- User-Friendly — all process definition operations are visualized, defines
key information at a glance, one-click deployment
- Supports Rich Scenarios — includes streaming, pause, recover operation,
and additional task types such as Spark, Hive, MR, Shell,
Python, Flink, Sub_process, and more.
Best Regards!
- Apache DolphinScheduler Team
--
Apache DolphinScheduler Committer
zhuangchong
kerwin@apache.org
Re: [ANNOUNCE] Apache DolphinScheduler 2.0.3 will be released on January 20th
Posted by Lidong Dai <li...@apache.org>.
Good news
Best Regards
---------------
Apache DolphinScheduler PMC Chair
LidongDai
lidongdai@apache.org
Linkedin: https://www.linkedin.com/in/dailidong
Twitter: @WorkflowEasy <https://twitter.com/WorkflowEasy>
---------------
On Mon, Jan 17, 2022 at 10:33 AM Jiajie Zhong <zh...@gmail.com>
wrote:
> Great, looking forward the new release for DolphinScheduler
> And thanks Chong.
>
> On Mon, Jan 17, 2022 at 9:26 AM kerwin zhuang <ke...@apache.org> wrote:
>
> > Hi all:
> >
> > Many thanks to everyone who is following the Apache DolphinScheduler
> > community.
> >
> > Apache DolphinScheduler is pleased to announce that Apache
> DolphinScheduler
> > version 2.0.3 will be released on January 20th.
> >
> >
> > If you have any questions, please refer to DolphinScheduler Resources:
> >
> > - Official website: https://dolphinscheduler.apache.org/
> > - GitHub:https://github.com/apache/dolphinscheduler
> > - Issue: https://github.com/apache/dolphinscheduler/issues/
> > - Mailing list: dev@dolphinscheduler.apache.org
> > - Documents:
> >
> >
> https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/quick-start.html
> >
> >
> > *About DolphinScheduler:*
> >
> > Apache DolphinScheduler is a cloud-native visual Big Data workflow
> > scheduler system.
> >
> > As a distributed and extensible data workflow scheduler platform with
> rich
> > directed acyclic graph (DAG) visual interfaces, DolphinScheduler solves
> > complex task dependencies and triggers in the data pipeline.
> > Out-of-the-box,
> > its easy-to-extend processing connects numerous systems to 600,000-level
> > data task scheduling.
> >
> > Apache DolphinScheduler is:
> >
> > - Cloud Native — support multi-cloud/data center workflow management,
> also
> > supports Kubernetes, Docker deployment and custom task types, distributed
> > scheduling, with overall scheduling capability, increased linearly with
> the
> > scale of the cluster
> > - Support multi-tenant
> > - Highly Reliable — decentralized multi-master and multi-worker, high
> > availability, supported by itself, overload processing
> > - User-Friendly — all process definition operations are visualized,
> defines
> > key information at a glance, one-click deployment
> > - Supports Rich Scenarios — includes streaming, pause, recover operation,
> > and additional task types such as Spark, Hive, MR, Shell,
> > Python, Flink, Sub_process, and more.
> >
> > Best Regards!
> >
> >
> > - Apache DolphinScheduler Team
> >
> > --
> > Apache DolphinScheduler Committer
> > zhuangchong
> > kerwin@apache.org
> >
>
>
> --
> Best Wish
> — Jiajie
>
Re: [ANNOUNCE] Apache DolphinScheduler 2.0.3 will be released on January 20th
Posted by Jiajie Zhong <zh...@gmail.com>.
Great, looking forward the new release for DolphinScheduler
And thanks Chong.
On Mon, Jan 17, 2022 at 9:26 AM kerwin zhuang <ke...@apache.org> wrote:
> Hi all:
>
> Many thanks to everyone who is following the Apache DolphinScheduler
> community.
>
> Apache DolphinScheduler is pleased to announce that Apache DolphinScheduler
> version 2.0.3 will be released on January 20th.
>
>
> If you have any questions, please refer to DolphinScheduler Resources:
>
> - Official website: https://dolphinscheduler.apache.org/
> - GitHub:https://github.com/apache/dolphinscheduler
> - Issue: https://github.com/apache/dolphinscheduler/issues/
> - Mailing list: dev@dolphinscheduler.apache.org
> - Documents:
>
> https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/quick-start.html
>
>
> *About DolphinScheduler:*
>
> Apache DolphinScheduler is a cloud-native visual Big Data workflow
> scheduler system.
>
> As a distributed and extensible data workflow scheduler platform with rich
> directed acyclic graph (DAG) visual interfaces, DolphinScheduler solves
> complex task dependencies and triggers in the data pipeline.
> Out-of-the-box,
> its easy-to-extend processing connects numerous systems to 600,000-level
> data task scheduling.
>
> Apache DolphinScheduler is:
>
> - Cloud Native — support multi-cloud/data center workflow management, also
> supports Kubernetes, Docker deployment and custom task types, distributed
> scheduling, with overall scheduling capability, increased linearly with the
> scale of the cluster
> - Support multi-tenant
> - Highly Reliable — decentralized multi-master and multi-worker, high
> availability, supported by itself, overload processing
> - User-Friendly — all process definition operations are visualized, defines
> key information at a glance, one-click deployment
> - Supports Rich Scenarios — includes streaming, pause, recover operation,
> and additional task types such as Spark, Hive, MR, Shell,
> Python, Flink, Sub_process, and more.
>
> Best Regards!
>
>
> - Apache DolphinScheduler Team
>
> --
> Apache DolphinScheduler Committer
> zhuangchong
> kerwin@apache.org
>
--
Best Wish
— Jiajie