Thanks, Maxim.
Leave my -1 for this release candidate.
Unfortunately, I don't know which PR fixed this.
Does anyone happen to know?
BR,
Kent Yao
Maxim Gekk 于2022年5月19日周四 13:42写道：
>
> Hi Kent,
>
> > Shall we backport the fix from the master to 3.3 too?
>
> Yes, we shall.
>
> Maxim Gekk
>
> Soft
Hi Kent,
> Shall we backport the fix from the master to 3.3 too?
Yes, we shall.
Maxim Gekk
Software Engineer
Databricks, Inc.
On Thu, May 19, 2022 at 6:44 AM Kent Yao wrote:
> Hi,
>
> I verified the simple case below with the binary release, and it looks
> like a bug to me.
>
> bin/spark-s
This is a case where resources are fixed in the same SparkContext, but sqls
have different priorities.
Some SQLs are only allowed to be executed if there are spare resources,
once the high priority sql comes in, those sqls taskset either are killed
or stalled.
If we set a high priority pool's mi
Requesting some suggestions on this.
Thanks in advance,
Sourabh Badhya
On Mon, May 9, 2022 at 5:16 PM Sourabh Badhya wrote:
> Hi team,
>
> I would like to know the behaviour of Append & Overwrite modes when table
> is not present and whether automatic table creation is
> supported/unsupported w
+1
Thank you for the suggestion, Hyukjin.
Dongjoon.
On Wed, May 18, 2022 at 11:08 AM Bjørn Jørgensen
wrote:
> +1
> But can will have PR Title and PR label the same, PS
>
> ons. 18. mai 2022 kl. 18:57 skrev Xinrong Meng
> :
>
>> Great!
>>
>> It saves us from always specifying "Pandas API on Sp
Hi,
I verified the simple case below with the binary release, and it looks
like a bug to me.
bin/spark-sql -e "select date '2018-11-17' > 1"
Error in query: Invalid call to toAttribute on unresolved object;
'Project [unresolvedalias((2018-11-17 > 1), None)]
+- OneRowRelation
Both 3.2 releases a
+1
But can will have PR Title and PR label the same, PS
ons. 18. mai 2022 kl. 18:57 skrev Xinrong Meng
:
> Great!
>
> It saves us from always specifying "Pandas API on Spark" in PR titles.
>
> Thanks!
>
>
> Xinrong Meng
>
> Software Engineer
>
> Databricks
>
>
> On Tue, May 17, 2022 at 1:08 AM M
Great!
It saves us from always specifying "Pandas API on Spark" in PR titles.
Thanks!
Xinrong Meng
Software Engineer
Databricks
On Tue, May 17, 2022 at 1:08 AM Maciej wrote:
> Sounds good!
>
> +1
>
> On 5/17/22 06:08, Yikun Jiang wrote:
> > It's a pretty good idea, +1.
> >
> > To be clear
A view is essentially a SQL query. It's fragile to share views between
Spark and Hive because different systems have different SQL dialects. They
may interpret the view SQL query differently and introduce unexpected
behaviors.
In this case, Spark returns decimal type for gender * 0.3 - 0.1 but Hiv
-1. There is a regression: https://github.com/apache/spark/pull/36595
On Wed, May 18, 2022 at 4:11 PM Martin Grigorov
wrote:
> Hi,
>
> [X] +1 Release this package as Apache Spark 3.3.0
>
> Tested:
> - make local distribution from sources (with ./dev/make-distribution.sh
> --tgz --name with-volca
During the migration from hive to spark, there was a problem with the SQL used
to create views in hive. The problem is that the SQL that legally creates a
view in hive will make an error when executed in spark SQL.
The SQL is as follows:
CREATE VIEW test_db.my_view AS
select
case
when age > 12
Hi,
[X] +1 Release this package as Apache Spark 3.3.0
Tested:
- make local distribution from sources (with ./dev/make-distribution.sh
--tgz --name with-volcano -Pkubernetes,volcano,hadoop-3)
- create a Docker image (with JDK 11)
- run Pi example on
-- local
-- Kubernetes with default scheduler
--
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