Hi,
Considering https://issues.apache.org/jira/browse/SPARK-42693 is a release
blocker, I would suggest we postpone the v3.4.0-rc5 until next week.
I appreciate the ongoing efforts into API auditing. Please feel free to
participate in the auditing if you are interested! Please refer to the
I’m pretty sure snappy file is not splittable. That’s why you have a single
task (and most likely core) reading the 1.9GB snappy file
Sent from my iPhone
> On 23 Mar 2023, at 07:36, yangjie01 wrote:
>
> Is there only one RowGroup for this file? You can check this by printing the
> file's
+1 on better notebook and other REPL experience
On Thu, Mar 23, 2023 at 9:17 AM Dongjoon Hyun
wrote:
> I also support Herman's `SPARK-42884 Add Ammonite REPL integration` PR.
>
> Thanks,
> Dongjoon.
>
>
> On Thu, Mar 23, 2023 at 7:51 AM Mridul Muralidharan
> wrote:
>
>>
>> Sounds good, thanks
I also support Herman's `SPARK-42884 Add Ammonite REPL integration` PR.
Thanks,
Dongjoon.
On Thu, Mar 23, 2023 at 7:51 AM Mridul Muralidharan
wrote:
>
> Sounds good, thanks for clarifying !
>
> Regards,
> Mridul
>
> On Thu, Mar 23, 2023 at 9:09 AM Herman van Hovell
> wrote:
>
>> The goal of
Sounds good, thanks for clarifying !
Regards,
Mridul
On Thu, Mar 23, 2023 at 9:09 AM Herman van Hovell
wrote:
> The goal of adding this, is to make it easy for a user to connect a scala
> REPL to a Spark Connect server. Just like Spark shell makes it easy to work
> with a regular Spark
The goal of adding this, is to make it easy for a user to connect a scala
REPL to a Spark Connect server. Just like Spark shell makes it easy to work
with a regular Spark environment.
It is not meant as a Spark shell replacement. They represent two different
modes of working with Spark, and they
What is unclear to me is why we are introducing this integration, how users
will leverage it.
* Are we replacing spark-shell with it ?
Given the existing gaps, this is not the case.
* Is it an example to showcase how to build an integration ?
That could be interesting, and we can add it to
Is there only one RowGroup for this file? You can check this by printing the
file's metadata using the `meta` command of `parquet-cli`.
Yang Jie
发件人: zhangliyun
日期: 2023年3月23日 星期四 15:16
收件人: Spark Dev List
主题: please help the problem of big parquet file can not be splitted to read
hi all
i