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`.
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:
- 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 administrator.
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.
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.
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 organizations，EasyScheduler has contributors and users from many companies; we have set up the Committer Team. New contributors are guided and reviewed by existed committer members.
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.
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.
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.
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.
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.
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
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.
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.
