Hi, tison

I'm Weibin from GraphAr community.

Thanks very much for your support and feedback on GraphAr.
For the questions about  communication channels,  here is our plan:

1.Google Group Channel:
Once GraphAr enters the Apache Incubator, our plan is to archive the existing 
Google Group mailing list and migrate to 'd...@graphar.apahce.org' mail list. 
We want to  transfer the archived content to the 'd...@graphar.apahce.org', if 
feasible.  By doing so, we can ensure  the discussions on the Google Group are 
preserved and accessible to the community.

2. Slack Channel:
We intend to continue maintaining the Slack channel as an additional real-time 
communication platform for both users and developers. Slack provides a 
convenient and efficient means of real-time communication. It can serve as an 
additional tool for people to connect with the GraphAr community.

On 2024/03/01 16:02:46 tison wrote:
> Confirm as a mentor. This project looks interesting and is in good
>  shape for starting as a podling.
>
>  Two questions here:
>
>  1. I saw a Google Group channel for this project [1]. What is the plan
>  to maintain or archive this channel?
>  2. I saw a Slack workspace for this project [2]. What is the plan to
>  maintain or archive this channel?
>
>  Best,
>  tison.
>
>  [1] graphar+subscr...@googlegroups.com
>  [2] 
> https://join.slack.com/t/grapharworkspace/shared_invite/zt-1wh5vo828-yxs0MlXYBPBBNvjOGhL4kQ
>
>  Yu Li <li...@apache.org> 于2024年3月1日周五 20:38写道:
> > >
> >  > Hi All,
> >  >
> >  > I would like to propose GraphAr [1] as a new apache incubator project,
> >  > and you can find the proposal [2] for more details.
> >  >
> >  > GraphAr is an open source and language independent data file format
> >  > designed for efficient graph data storage and retrieval. It aims at
> >  > supplying a standard format for large-scale graph data storage and
> >  > processing that can be used by diverse existing graph systems, such as
> >  > Neo4j, Nebula Graph, and Apache HugeGraph, to reduce the overhead when
> >  > various systems work together. Specifically, it provides the following
> >  > features:
> >  >
> >  > 1. Efficient format: GraphAr maintains the CSR (Compressed Sparse Row)
> >  > and CSC (Compressed Sparse Column) semantics of graph data, partitions
> >  > the data into chunks for parallel access, and leverages
> >  > high-performance columnar storage formats (Parquet and ORC) for data
> >  > file organizing.
> >  > 2. Out-of-core queries: GraphAr is designed for out-of-core scenarios,
> >  > enabling the storage and querying of large-scale graphs outside of
> >  > memory, such as in data lakes.
> >  > 3. Cross-language support: GraphAr provides libraries in C++, Java,
> >  > Scala with Spark, and Python with PySpark for generating, accessing,
> >  > and transforming files in GraphAr format
> >  >
> >  > GraphAr is currently adopted in the production environment at Alibaba
> >  > and used in Fabarta and TuGraph. The community is still in its early
> >  > age but with good shape and diversity, with 5 core developers and 14
> >  > contributors from different organizations. Given the extensive need in
> >  > the graph community for a standardized file format, we believe the
> >  > developer and user communities will continue to grow.
> >  >
> >  > The proposed initial committers are interested in joining ASF, and
> >  > believe they could reinforce extensive collaboration and build a more
> >  > vibrant community following the Apache Way.
> >  >
> >  > I will help this project as the champion and mentor, and many thanks
> >  > to our three other mentors:
> >  >
> >  > * Calvin Kirs (k...@apache.org)
> >  > * tison (ti...@apache.org)
> >  > * Xiaoqiao He (hexiaoq...@apache.org)
> >  >
> >  > Look forward to your feedback. Thanks.
> >  >
> >  > Best Regards,
> >  > Yu
> >  >
> >  > [1] https://github.com/alibaba/GraphAr
> >  > [2] https://cwiki.apache.org/confluence/display/INCUBATOR/GraphArProposal
>
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Best
weibin.zen

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