Hi Guys,

Don't know what's the intention exactly here but there is such a PR:
https://github.com/apache/spark/pull/22560
If that's what we need maybe we can resurrect it. BTW, I'm also interested
in...

BR,
G


On Sat, Jul 13, 2019 at 4:09 AM Shiv Prashant Sood <shivprash...@gmail.com>
wrote:

> Thanks all. I can also contribute toward this effort.
>
> Regards,
> Shiv
>
> Sent from my iPhone
>
> On Jul 12, 2019, at 6:51 PM, Xianyin Xin <xianyin....@alibaba-inc.com>
> wrote:
>
> If there’s nobody working on that, I’d like to contribute.
>
>
>
> Loop in @Gengliang Wang.
>
>
>
> Xianyin
>
>
>
> *From: *Ryan Blue <rb...@netflix.com.INVALID>
> *Reply-To: *<rb...@netflix.com>
> *Date: *Saturday, July 13, 2019 at 6:54 AM
> *To: *Shiv Prashant Sood <shivprash...@gmail.com>
> *Cc: *Spark Dev List <dev@spark.apache.org>
> *Subject: *Re: JDBC connector for DataSourceV2
>
>
>
> I'm not aware of a JDBC connector effort. It would be great to have
> someone build one!
>
>
>
> On Fri, Jul 12, 2019 at 3:33 PM Shiv Prashant Sood <shivprash...@gmail.com>
> wrote:
>
> Can someone please help understand the current Status of DataSource V2
> based JDBC connector? I see connectors for various file formats in Master,
> but can't find a JDBC implementation or related JIRA.
>
>
>
> DatasourceV2 APIs to me look in good shape to attempt a JDBC connector for
> READ/WRITE path.
>
> Thanks & Regards,
>
> Shiv
>
>
>
>
> --
>
> Ryan Blue
>
> Software Engineer
>
> Netflix
>
>

Reply via email to