Hi all,
I am glad to tell you there is a new progress of build/test spark on
aarch64 server, the tests are running, see the build/test detail log
https://logs.openlabtesting.org/logs/1/1/419fcb11764048d5a3cda186ea76dd43249e1f97/check/spark-build-arm64/75cc6f5/job-output.txt.gz
and
the aarch64 inst
Thank you for the reply, Sean. Sure. 2.4.x should be a LTS version.
The main reason of 2.4.4 release (before 3.0.0) is to have a better basis
for comparison to 3.0.0.
For example, SPARK-27798 had an old bug, but its correctness issue is only
exposed at Spark 2.4.3.
It would be great if we can have
We will certainly want a 2.4.4 release eventually. In fact I'd expect
2.4.x gets maintained for longer than the usual 18 months, as it's the
last 2.x branch.
It doesn't need to happen before 3.0, but could. Usually maintenance
releases happen 3-4 months apart and the last one was 2 months ago. If
t
Hi, All.
Spark 2.4.3 was released two months ago (8th May).
As of today (9th July), there exist 45 fixes in `branch-2.4` including the
following correctness or blocker issues.
- SPARK-26038 Decimal toScalaBigInt/toJavaBigInteger not work for
decimals not fitting in long
- SPARK-26045 Err
It's alright - thanks for that.
Anyone can take a look. This is an open source project :D.
2019년 7월 9일 (화) 오후 8:18, Stavros Kontopoulos <
stavros.kontopou...@lightbend.com>님이 작성:
> I can try one and see how it goes, although not familiar with the area.
>
> Stavros
>
> On Tue, Jul 9, 2019 at 6:17
I can try one and see how it goes, although not familiar with the area.
Stavros
On Tue, Jul 9, 2019 at 6:17 AM Hyukjin Kwon wrote:
> Hi all,
>
> I am currently targeting to improve Python, Pandas UDFs Scala UDF test
> cases by integrating our existing *.sql files at
> https://issues.apache.org/
