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The third phase of the contributor task is wonderful

2022-08-11 06:32:00 【The fourth paradigm developer community】

Ding, you have received a new email from the community: OpenMLDB, an open source machine learning database, inviting you to participate in the 3rd Contributor Task.
Machine learning database OpenMLDB, with open source feature data governance capabilities and SQL development capabilities, provides a full-stack function, low-threshold feature data computing and management platform, solves the data governance problems of AI engineering implementation in a closed-loop, and helps enterprises toTo solve problems with low cost and high efficiency, it has been implemented in hundreds of enterprise-level artificial intelligence scenarios.
This contributor activity is for new and old friends in the community, and developers around the world are welcome to participate in the optimization of the OpenMLDB project!

Contributor task content

This event is divided into easy tasks for new friends and medium difficulty tasks for old friends.

[Simple tasks for new friends]

● Document class improvements
● Independent small problem solving, such as some code formatting or naming problems, handling some simple exception logic, etc.
This kind of task is for all first time

strong>Developers who contribute to the community are friendly, and basically zero knowledge of the OpenMLDB code structure can also try it out!
This kind of task is relatively simple, and each task can be completed within 1 day, so that new friends can quickly familiarize themselves with the community~
Contributing topics at the novice level only need to go to our GitHub to findIssues with good first issues are fine.Or simply click the link below: https://github.com/4paradigm/OpenMLDB/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22
file

"Participation Process"

  1. Use the links above to find issues tagged with good first issue that interest you
  2. Leave a message under a specific issue to indicate that you are about to work on an issue you are interested in, and our community maintainer will change the assignee of the issue to you
  3. (Optional) You can also send an email to our developer community mailing list [email protected] with the issue number you will be working on to ensure all developers are aware of your upcomingStart specific work on an issue
  4. You can now code normally, submit a PR

[Medium Quest for Old Friends]

● Implementation of relatively independent small modules, such as adding a third-party ecological connector
● Repairing or adding a specific function, such as implementing a built-in function
Such tasks are more suitable forOpenMLDB Compared with the overall understanding, has actually tested it, and has a certain understanding of the code structure small partners!
This type of task requires a certain foundation, and each task takes roughly 2~7 days to complete.
Those who wish to contribute can go to our GitHub to find issues with call-for-contributions.Or simply click the link below: https://github.com/4paradigm/OpenMLDB/issues?q=is%3Aopen+is%3Aissue+label%3Acall-for-contributions
file

"Participation Process"

  1. Use the links above to find issues tagged with call-for-contributions that interest you
  2. Leave a message under a specific issue to indicate that you are about to work on an issue you are interested in, and our community maintainer will change the assignee of the issue to you
  3. (Optional) You can also send an email to our developer community mailing list [email protected] with the issue number you will be working on to ensure all developers are aware of your upcomingStart specific work on an issue
  4. You can now write code normally, Submit PR
    You are very welcome to notify the community about upcoming development of specific issues through the developer mailing list ([email protected])!

If you encounter any problems during development, you can also communicate and communicate through slack or WeChat group!You can join the group chat by scanning the QR code below~
file

Event Rewards

1. Novice task reward

Complete the novice task (new friend task, that is, solve the issues of the good-first-issue label) before the deadline, and you can get the OpenMLDB community customized peripheral package A or B (choose one)!
OpenMLDB community customized peripheral gift package A: data cable + mouse pad + IP doll
[The external link image transfer failed, the source site may have an anti-leech mechanism, it is recommended to save the imageDirect upload(img-hgFYkvle-1652152746159)(https://openmldb.ai/wordpress/wp-content/uploads/2022/05/image-1652151801762.png)]
OpenMLDB community customized peripheral gift package B: Air Conditioning Blanket + OpenMLDB Limited Edition T-Shirt (Black & White Available)
file

2. Skilled Task Rewards

Complete the familiar task (the old friend task, that is, solve the issues of the call-for-contributions label) before the deadline, and you can get the OpenMLDB community customized peripheral package C!
OpenMLDB community custom peripheral gift pack C: Elvis Audio + OpenMLDB limited edition custom cap
file

How rewards are distributed

l Confirmation method: After the task is completed, it will be confirmed in the form of an email, and an email needs to be sent to the official community mailbox ([email protected])
l Format content: The email name is "OCP Phase 3 + Task Code (Such as 826)", the text should contain the valid information of "GitHub task link + GitHub ID + valid express delivery information (recipient's name/mobile phone number/receiving address)"
l Distribution form: after verifying the completion of the task, Contributor Rewards will be delivered by courier

Task Description

l Submission form: All contributor tasks are submitted on the GitHub platform in the form of Pull Request
l Reward criteria: submission time and task completion quality, selection rules are determined by the OpenMLDB community
l Deadline: 2022July 6th
l Redemption requirements: After the task is completed, please provide relevant information to the official email [email protected] before the deadline, overdue will be regarded as an automatic waiver
(* The OpenMLDB community reserves the right of final interpretation of the event)

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