> Do you mean something like this:
> select * from t1 join (select floor(random()*9) + id as x from t2) m on
t1.id = m.x ?
> Yes, that works.
Yes.
> But that raise another question: theses two queries seem semantically
equivalent,
> yet we treat them differently: one raises an analysis exception,
> For that, you can add a table subquery and do it in the select list.
Do you mean something like this:
select * from t1 join (select floor(random()*9) + id as x from t2) m on t1.id =
m.x ?
Yes, that works. But that raise another question: theses two queries seem
semantically equivalent, yet we
Per SQL spec, I think your join query can only be run as a NestedLoopJoin
or CartesianProduct. See page 241 in SQL-99 (
http://web.cecs.pdx.edu/~len/sql1999.pdf).
In other words, it might be a correctness bug in other systems if they run
your query as a hash join.
> Here the purpose of adding a r
Yea the file naming is a bit confusing, we can fix it in the next release.
3.2 actually means 3.2 or higher, so not a big deal I think.
Congrats and thanks!
On Wed, Oct 20, 2021 at 3:44 AM Jungtaek Lim
wrote:
> Thanks to Gengliang for driving this huge release!
>
> On Wed, Oct 20, 2021 at 1:50
Thanks to Gengliang for driving this huge release!
On Wed, Oct 20, 2021 at 1:50 AM Dongjoon Hyun
wrote:
> Thank you so much, Gengliang and all!
>
> Dongjoon.
>
> On Tue, Oct 19, 2021 at 8:48 AM Xiao Li wrote:
>
>> Thank you, Gengliang!
>>
>> Congrats to our community and all the contributors!
>
Thank you so much, Gengliang and all!
Dongjoon.
On Tue, Oct 19, 2021 at 8:48 AM Xiao Li wrote:
> Thank you, Gengliang!
>
> Congrats to our community and all the contributors!
>
> Xiao
>
> Henrik Peng 于2021年10月19日周二 上午8:26写道:
>
>> Congrats and thanks!
>>
>>
>> Gengliang Wang 于2021年10月19日 周二下午10
Thank you, Gengliang!
Congrats to our community and all the contributors!
Xiao
Henrik Peng 于2021年10月19日周二 上午8:26写道:
> Congrats and thanks!
>
>
> Gengliang Wang 于2021年10月19日 周二下午10:16写道:
>
>> Hi all,
>>
>> Apache Spark 3.2.0 is the third release of the 3.x line. With tremendous
>> contribution
Works now. Thanks
Minor thing, the version naming convention could cause confusion.
The name on this UI vs the tgz file name.
> On Oct 19, 2021, at 10:09 AM, Gengliang Wang wrote:
>
>
> Hi Prasad,
>
> Thanks for reporting the issue. The link was wrong. It should be fixed now.
> Could yo
Hi Prasad,
Thanks for reporting the issue. The link was wrong. It should be fixed now.
Could you try again on https://spark.apache.org/downloads.html?
On Tue, Oct 19, 2021 at 10:53 PM Prasad Paravatha <
prasad.parava...@gmail.com> wrote:
>
> https://www.apache.org/dyn/closer.lua/spark/spark-3.2.
https://www.apache.org/dyn/closer.lua/spark/spark-3.2.0/spark-3.2.0-bin-hadoop3.3.tgz
FYI, unable to download from this location.
Also, I don’t see Hadoop 3.3 version in the dist
> On Oct 19, 2021, at 9:39 AM, Bode, Meikel, NMA-CFD
> wrote:
>
>
> Many thanks! 😊
>
> From: Gengliang Wang
Many thanks! 😊
From: Gengliang Wang
Sent: Dienstag, 19. Oktober 2021 16:16
To: dev ; user
Subject: [ANNOUNCE] Apache Spark 3.2.0
Hi all,
Apache Spark 3.2.0 is the third release of the 3.x line. With tremendous
contribution from the open-source community, this release managed to resolve in
ex
Congratulations everyone !
And thanks Gengliang for sheparding the release out :-)
Regards,
Mridul
On Tue, Oct 19, 2021 at 9:25 AM Yuming Wang wrote:
> Congrats and thanks!
>
> On Tue, Oct 19, 2021 at 10:17 PM Gengliang Wang wrote:
>
>> Hi all,
>>
>> Apache Spark 3.2.0 is the third release of
Congrats and thanks!
On Tue, Oct 19, 2021 at 10:17 PM Gengliang Wang wrote:
> Hi all,
>
> Apache Spark 3.2.0 is the third release of the 3.x line. With tremendous
> contribution from the open-source community, this release managed to
> resolve in excess of 1,700 Jira tickets.
>
> We'd like to th
Hi all,
Apache Spark 3.2.0 is the third release of the 3.x line. With tremendous
contribution from the open-source community, this release managed to
resolve in excess of 1,700 Jira tickets.
We'd like to thank our contributors and users for their contributions and
early feedback to this release.
In PostgreSQL and Presto, the below query works well
sql> create table t1 (id int);
sql> create table t2 (id int);
sql> select * from t1 join t2 on t1.id = floor(random() * 9) + t2.id;
But it throws "Error in query: nondeterministic expressions are only
allowed in Project, Filter, Aggregate or Win
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