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From Reynold Xin <r...@databricks.com>
Subject Re: [ANNOUNCE] Announcing Apache Spark 2.4.0
Date Fri, 09 Nov 2018 00:15:13 GMT
Do you have a cached copy? I see it here

http://spark.apache.org/downloads.html



On Thu, Nov 8, 2018 at 4:12 PM Li Gao <ligao101@gmail.com> wrote:

> this is wonderful !
> I noticed the official spark download site does not have 2.4 download
> links yet.
>
> On Thu, Nov 8, 2018, 4:11 PM Swapnil Shinde <swapnilushinde@gmail.com
> wrote:
>
>> Great news.. thank you very much!
>>
>> On Thu, Nov 8, 2018, 5:19 PM Stavros Kontopoulos <
>> stavros.kontopoulos@lightbend.com wrote:
>>
>>> Awesome!
>>>
>>> On Thu, Nov 8, 2018 at 9:36 PM, Jules Damji <dmatrix@comcast.net> wrote:
>>>
>>>> Indeed!
>>>>
>>>> Sent from my iPhone
>>>> Pardon the dumb thumb typos :)
>>>>
>>>> On Nov 8, 2018, at 11:31 AM, Dongjoon Hyun <dongjoon.hyun@gmail.com>
>>>> wrote:
>>>>
>>>> Finally, thank you all. Especially, thanks to the release manager,
>>>> Wenchen!
>>>>
>>>> Bests,
>>>> Dongjoon.
>>>>
>>>>
>>>> On Thu, Nov 8, 2018 at 11:24 AM Wenchen Fan <cloud0fan@gmail.com>
>>>> wrote:
>>>>
>>>>> + user list
>>>>>
>>>>> On Fri, Nov 9, 2018 at 2:20 AM Wenchen Fan <cloud0fan@gmail.com>
>>>>> wrote:
>>>>>
>>>>>> resend
>>>>>>
>>>>>> On Thu, Nov 8, 2018 at 11:02 PM Wenchen Fan <cloud0fan@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> ---------- Forwarded message ---------
>>>>>>> From: Wenchen Fan <cloud0fan@gmail.com>
>>>>>>> Date: Thu, Nov 8, 2018 at 10:55 PM
>>>>>>> Subject: [ANNOUNCE] Announcing Apache Spark 2.4.0
>>>>>>> To: Spark dev list <dev@spark.apache.org>
>>>>>>>
>>>>>>>
>>>>>>> Hi all,
>>>>>>>
>>>>>>> Apache Spark 2.4.0 is the fifth release in the 2.x line. This
>>>>>>> release adds Barrier Execution Mode for better integration with
deep
>>>>>>> learning frameworks, introduces 30+ built-in and higher-order
functions to
>>>>>>> deal with complex data type easier, improves the K8s integration,
along
>>>>>>> with experimental Scala 2.12 support. Other major updates include
the
>>>>>>> built-in Avro data source, Image data source, flexible streaming
sinks,
>>>>>>> elimination of the 2GB block size limitation during transfer,
Pandas UDF
>>>>>>> improvements. In addition, this release continues to focus on
usability,
>>>>>>> stability, and polish while resolving around 1100 tickets.
>>>>>>>
>>>>>>> We'd like to thank our contributors and users for their
>>>>>>> contributions and early feedback to this release. This release
would not
>>>>>>> have been possible without you.
>>>>>>>
>>>>>>> To download Spark 2.4.0, head over to the download page:
>>>>>>> http://spark.apache.org/downloads.html
>>>>>>>
>>>>>>> To view the release notes:
>>>>>>> https://spark.apache.org/releases/spark-release-2-4-0.html
>>>>>>>
>>>>>>> Thanks,
>>>>>>> Wenchen
>>>>>>>
>>>>>>> PS: If you see any issues with the release notes, webpage or
>>>>>>> published artifacts, please contact me directly off-list.
>>>>>>>
>>>>>>
>>>
>>>
>>>
>>>

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