Hey all
I have an interesting problem in hand. We have cases where we want to pass
multiple(20 to 30) data frames to cogroup.applyInPandas function.
RDD currently supports cogroup with upto 4 dataframes (ZippedPartitionsRDD4)
where as cogroup with pandas can handle only 2 dataframes (with
Hi All,
Apache Spark 3.4 is cut as https://github.com/apache/spark/tree/branch-3.4.
Thanks,
Xinrong Meng
On Wed, Jan 18, 2023 at 3:45 PM Hyukjin Kwon wrote:
> Yeah, these more look like something we should discuss around RC timing.
> See "Spark 3.4 release window" in
>
Thanks Xinrong.
On Wed, 25 Jan 2023 at 12:01, Xinrong Meng wrote:
> Hi All,
>
> Apache Spark 3.4 is cut as https://github.com/apache/spark/tree/branch-3.4
> .
>
> Thanks,
>
> Xinrong Meng
>
> On Wed, Jan 18, 2023 at 3:45 PM Hyukjin Kwon wrote:
>
>> Yeah, these more look like something we
Great! Thank you so much, Xinrong!
Dongjoon
On Tue, Jan 24, 2023 at 7:17 PM Hyukjin Kwon wrote:
> Thanks Xinrong.
>
> On Wed, 25 Jan 2023 at 12:01, Xinrong Meng
> wrote:
>
>> Hi All,
>>
>> Apache Spark 3.4 is cut as
>> https://github.com/apache/spark/tree/branch-3.4.
>>
>> Thanks,
>>
>>
Thanks Xinrong,
发件人: Dongjoon Hyun
日期: 2023年1月25日 星期三 15:49
收件人: Hyukjin Kwon
抄送: Xinrong Meng , "dev@spark.apache.org"
主题: Re: Time for Spark 3.4.0 release?
Great! Thank you so much, Xinrong!
Dongjoon
On Tue, Jan 24, 2023 at 7:17 PM Hyukjin Kwon
mailto:gurwls...@gmail.com>> wrote:
Thanks
