+1
在 2024-04-15 15:54:07，"Peter Toth" 写道：
+1
Wenchen Fan ezt írta (időpont: 2024. ápr. 15., H, 9:08):
+1
On Sun, Apr 14, 2024 at 6:28 AM Dongjoon Hyun wrote:
I'll start from my +1.
Dongjoon.
On 2024/04/13 22:22:05 Dongjoon Hyun wrote:
> Please vote on SPARK-4 to use ANSI SQL
Congratulations!
At 2024-02-28 17:43:25, "Jungtaek Lim" wrote:
Hi everyone,
We are happy to announce the availability of Spark 3.5.1!
Spark 3.5.1 is a maintenance release containing stability fixes. This
release is based on the branch-3.5 maintenance branch of Spark. We strongly
+1
在 2024-02-04 15:26:13，"Dongjoon Hyun" 写道：
+1
On Sat, Feb 3, 2024 at 9:18 PM yangjie01 wrote:
+1
在 2024/2/4 13:13，“Kent Yao”mailto:y...@apache.org>> 写入:
+1
Jungtaek Lim mailto:kabhwan.opensou...@gmail.com>> 于2024年2月3日周六 21:14写道：
>
> Hi dev,
>
> looks like there are a huge
Congratulations!
At 2023-12-01 01:23:55, "Dongjoon Hyun" wrote:
We are happy to announce the availability of Apache Spark 3.4.2!
Spark 3.4.2 is a maintenance release containing many fixes including
security and correctness domains. This release is based on the
branch-3.4 maintenance
+1
At 2023-09-26 13:03:56, "Ruifeng Zheng" wrote:
+1
On Tue, Sep 26, 2023 at 12:51 PM Hyukjin Kwon wrote:
Hi all,
I would like to start the vote for updating documentation hosted for EOL and
maintenance releases to improve the usability here, and in order for end users
to read the
AFAIK, The order is free whether it's SQL without spcified ORDER BY clause or
DataFrame without sort. The behavior is consistent between them.
At 2023-09-18 23:47:40, "Nicholas Chammas" wrote:
I’ve always considered DataFrames to be logically equivalent to SQL tables or
queries.
In
Congratulations! Apache Spark.
At 2023-09-16 01:01:40, "Yuanjian Li" wrote:
Hi All,
We are happy to announce the availability of Apache Spark 3.5.0!
Apache Spark 3.5.0 is the sixth release of the 3.x line.
To download Spark 3.5.0, head over to the download page:
Thanks! Dongjoon Hyun.
Congratulation too!
At 2023-06-24 07:57:05, "Dongjoon Hyun" wrote:
We are happy to announce the availability of Apache Spark 3.4.1!
Spark 3.4.1 is a maintenance release containing stability fixes. This
release is based on the branch-3.4 maintenance branch of Spark.
Dongjoon. Thank you.
There is a issue should be fixed.
https://issues.apache.org/jira/browse/SPARK-44018
在 2023-06-12 13:22:30，"Dongjoon Hyun" 写道：
Thank you all.
I'll check and prepare `branch-3.4` for the target date, June 20th.
Dongjoon.
On Fri, Jun 9, 2023 at 10:47 PM yangjie01
+1
At 2023-04-08 07:29:46, "Xinrong Meng" wrote:
Please vote on releasing the following candidate(RC7) as Apache Spark version
3.4.0.
The vote is open until 11:59pm Pacific time April 12th and passes if a majority
+1 PMC votes are cast, with a minimum of 3 +1 votes.
[ ] +1 Release this
There is a bug fix.
https://issues.apache.org/jira/browse/SPARK-42740
在 2023-03-10 20:48:30，"Xinrong Meng" 写道：
https://issues.apache.org/jira/browse/SPARK-42745 can be a new release blocker,
thanks @Peter Toth for reporting that.
On Fri, Mar 10, 2023 at 8:21 PM Xinrong Meng wrote:
Congratulations !
At 2023-02-17 16:58:22, "L. C. Hsieh" wrote:
>We are happy to announce the availability of Apache Spark 3.3.2!
>
>Spark 3.3.2 is a maintenance release containing stability fixes. This
>release is based on the branch-3.3 maintenance branch of Spark. We strongly
>recommend
Congratulations everyone have contributed to this release.
At 2022-10-26 14:21:36, "Yuming Wang" wrote:
We are happy to announce the availability of Apache Spark 3.3.1!
Spark 3.3.1 is a maintenance release containing stability fixes. This
release is based on the branch-3.3 maintenance
There is a WIP PR https://github.com/apache/spark/pull/37536, only implement
the add operator of Decimal128
At 2022-08-24 12:09:03, "beliefer" wrote:
Hi all,
Recently, we found many SQL query could improve performance by replace Spark
Decimal to Double. This is confirmed b
+1
Yeah, I tried to use Apache Livy, so as we can runing interactive query. But
the Spark Driver in Livy looks heavy.
The SPIP may resolve the issue.
At 2022-06-14 18:11:21, "Wenchen Fan" wrote:
+1
On Tue, Jun 14, 2022 at 9:38 AM Ruifeng Zheng wrote:
+1
-- 原始邮件
+1 AFAIK, no blocking issues now.
Glad to hear to release 3.3.0 !
在 2022-06-14 09:38:35，"Ruifeng Zheng" 写道：
+1 (non-binding)
Maxim, thank you for driving this release!
thanks,
ruifeng
-- 原始邮件 --
发件人: "Chao Sun" ;
发送时间: 2022年6月14日(星期二) 上午8:45
收件人:
ly I think we need to do the
same for every Hive view if we need to use it in Spark.
On Wed, May 18, 2022 at 7:03 PM beliefer wrote:
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
vi
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
During the migration from Hive to spark, there was a problem when the view
created in Hive was used in Spark SQL.
The origin Hive SQL show below:
CREATE VIEW myView AS
SELECT
CASE WHEN age > 12 THEN CAST(gender * 0.3 - 0.1 AS double) END AS TT, gender,
age
FROM myTable;
Users use Spark SQL
OK. let it into 3.3.1
在 2022-05-17 18:59:13，"Hyukjin Kwon" 写道：
I think most users won't be affected since aggregate pushdown is disabled by
default.
On Tue, 17 May 2022 at 19:53, beliefer wrote:
If we not contains https://github.com/apache/spark/pull/36556, we will break
c
RC2 passes.
Since this is a new API/improvement, I would prefer to not block the release by
that.
On Tue, 17 May 2022 at 19:19, beliefer wrote:
We need add https://github.com/apache/spark/pull/36556 to RC2.
在 2022-05-17 17:37:13，"Hyukjin Kwon" 写道：
That seems like a test-only i
We need add https://github.com/apache/spark/pull/36556 to RC2.
在 2022-05-17 17:37:13，"Hyukjin Kwon" 写道：
That seems like a test-only issue. I made a quick followup at
https://github.com/apache/spark/pull/36576.
On Tue, 17 May 2022 at 03:56, Sean Owen wrote:
I'm still seeing failures
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 myView AS
SELECT
CASE WHEN age > 12 THEN
@Maxim Gekk Glad to hear that!
But there is a bug https://github.com/apache/spark/pull/36457
I think we should merge it into 3.3.0
At 2022-05-05 19:00:27, "Maxim Gekk" wrote:
Please vote on releasing the following candidate as Apache Spark version 3.3.0.
The vote is open until
+1 Glad to see we will release 3.3.0.
At 2022-03-04 02:44:37, "Maxim Gekk" wrote:
Hello All,
I would like to bring on the table the theme about the new Spark release 3.3.
According to the public schedule at
https://spark.apache.org/versioning-policy.html, we planned to start the code
Thank you huaxin gao!
Glad to see the release.
At 2022-01-29 09:07:13, "huaxin gao" wrote:
We are happy to announce the availability of Spark 3.2.1!
Spark 3.2.1 is a maintenance release containing stability fixes. This
release is based on the branch-3.2 maintenance branch of Spark. We
+1
At 2022-01-11 02:09:46, "huaxin gao" wrote:
Please vote on releasing the following candidate as Apache Spark version 3.2.1.
The vote is open until Jan. 13th at 12 PM PST (8 PM UTC) and passes if a
majority
+1 PMC votes are cast, with a minimum of 3 + 1 votes.
[ ] +1 Release this
I test it and cannot reproduce the issue.
I build Spark-3.1.0 and Spark2.3.1.
After many tests, it is found that there is little difference between them,
and they win and lose each other.
And from the view of event timeline, Spark-3.1.0 looks more accurate.
--
Sent from:
Can you provide configuration information?
--
Sent from: http://apache-spark-developers-list.1001551.n3.nabble.com/
-
To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
Can you provide configuration information?
--
Sent from: http://apache-spark-developers-list.1001551.n3.nabble.com/
-
To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
Can you show the running configuration information?
--
Sent from: http://apache-spark-developers-list.1001551.n3.nabble.com/
-
To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
31 matches
Mail list logo
