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 wrote:
>
> If there’s nobody working on that, I’d like to contribute.
>
> Loop in @Gengliang Wang.
>
> Xianyin
>
> From: Ryan Blue
> Reply-To:
> Date: Satu
Sounds great! Ping me on the review, I think this will be really valuable.
On Fri, Jul 12, 2019 at 6:51 PM Xianyin Xin
wrote:
> If there’s nobody working on that, I’d like to contribute.
>
>
>
> Loop in @Gengliang Wang.
>
>
>
> Xianyin
>
>
>
> *From: *Ryan Blue
> *Reply-To: *
> *Date: *Saturday
If there’s nobody working on that, I’d like to contribute.
Loop in @Gengliang Wang.
Xianyin
From: Ryan Blue
Reply-To:
Date: Saturday, July 13, 2019 at 6:54 AM
To: Shiv Prashant Sood
Cc: Spark Dev List
Subject: Re: JDBC connector for DataSourceV2
I'm not aware of a JDBC connecto
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
wrote:
> Can someone please help understand the current Status of DataSource V2
> based JDBC connector? I see connectors for various file formats in Master,
>
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.
Thank
Thank you, Jacek.
BTW, I added `@private` since we need PMC's help to make an Apache Spark
release.
Can I get more feedbacks from the other PMC members?
Please me know if you have any concerns (e.g. Release date or Release
manager?)
As one of the community members, I assumed the followings (if
Hello,
I have 2 parquet tables:
stored - table of 10 M records
data - table of 100K records
*This is fast:*
val dataW = data.where("registration_ts in (20190516204l,
20190515143l,20190510125l, 20190503151l)")
dataW.count
res44: Long = 42
//takes 3 seconds
stored.join(broadcast(dataW), Seq("registr
No sorry I'm not at liberty to share other people's code.
On Fri, Jul 12, 2019 at 9:33 AM, Gourav Sengupta < gourav.sengu...@gmail.com >
wrote:
>
> Hi Reynold,
>
>
> I am genuinely curious about queries which are more than 1 MB and am
> stunned by tens of MB's. Any samples to share :)
>
>
