Hi everyone,

Thanks for starting the discussion :)

We (Alink team [1]) are actually using part of the Gelly library to support
graph algorithms (connected component, single source shortest path, etc.)
for users in Alibaba Inc.

As DataSet API is going to be dropped, shall we also provide a new graph
library based on DataStream runtime (similar as we did for machine
learning)?

[1] https://github.com/Alibaba/alink

David Anderson <dander...@apache.org> 于2022年1月4日周二 00:01写道:

> Most of the inquiries I've had about Gelly in recent memory have been from
> folks looking for a streaming solution, and it's only been a handful.
>
> +1 for dropping Gelly
>
> David
>
> On Mon, Jan 3, 2022 at 2:41 PM Till Rohrmann <trohrm...@apache.org> wrote:
>
>> I haven't seen any changes or requests to/for Gelly in ages. Hence, I
>> would assume that it is not really used and can be removed.
>>
>> +1 for dropping Gelly.
>>
>> Cheers,
>> Till
>>
>> On Mon, Jan 3, 2022 at 2:20 PM Martijn Visser <mart...@ververica.com>
>> wrote:
>>
>>> Hi everyone,
>>>
>>> Flink is bundled with Gelly, a Graph API library [1]. This has been
>>> marked as approaching end-of-life for quite some time [2].
>>>
>>> Gelly is built on top of Flink's DataSet API, which is deprecated and
>>> slowly being phased out [3]. It only works on batch jobs. Based on the
>>> activity in the Dev and User mailing lists, I don't see a lot of questions
>>> popping up regarding the usage of Gelly. Removing Gelly would reduce CI
>>> time and resources because we won't need to run tests for this anymore.
>>>
>>> I'm cross-posting this to the User mailing list to see if there are any
>>> users of Gelly at the moment.
>>>
>>> Let me know your thoughts.
>>>
>>> Martijn Visser | Product Manager
>>>
>>> mart...@ververica.com
>>>
>>>
>>> [1]
>>> https://nightlies.apache.org/flink/flink-docs-stable/docs/libs/gelly/overview/
>>>
>>> [2] https://flink.apache.org/roadmap.html
>>>
>>> [3] https://lists.apache.org/thread/b2y3xx3thbcbtzdphoct5wvzwogs9sqz
>>>
>>> <https://www.ververica.com/>
>>>
>>>
>>> Follow us @VervericaData
>>>
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>>>
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-- 
best,
Zhipeng

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