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2020-03-26 Thread Alfredo Marquez
On Thu, Mar 26, 2020, 8:35 PM Andrew Melo  wrote:

> Hello all,
>
> Is there a way to register classes within a datasourcev2 implementation in
> the Kryo serializer?
>
> I've attempted the following in both the constructor and static block of
> my toplevel class:
>
> SparkContext context = SparkContext.getOrCreate();
> SparkConf conf = context.getConf();
> Class[] classesRegistered = new Class[] {
> edu.vanderbilt.accre.laurelin.spark_ttree.Reader.class,
> edu.vanderbilt.accre.laurelin.spark_ttree.Partition.class,
> edu.vanderbilt.accre.laurelin.spark_ttree.SlimTBranch.class
> };
> conf.registerKryoClasses(classesRegistered);
>
> But (if I'm reading correctly), this is too late, since the config has
> already been parsed while initializing the SparkContext, adding classes to
> the SparkConf has no effect. From what I can tell, the kryo instance behind
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> Hi:
> I'm new to structured streaming. Because the built-in API cannot
> perform the Count Distinct operation of Window, I want to use
> dropDuplicates first, and then perform the window count.
>But in the process of using, there are two problems:
>1. Because it is streaming computing, in the process of
> deduplication, the state needs to be cleared in time, which requires the
> cooperation of watermark. Assuming my event time field is consistently
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At 2019-07-16 23:24:28, "Dongjoon Hyun"  wrote:

Thank you for volunteering for 2.3.4 release manager, Kazuaki!
It's great to see a new release manager in advance. :D


Thank you for reply, Stavros.
In addition to that issue, I'm also monitoring some other K8s issues and PRs.
But, I'm not sure we can have that because some PRs seems to fail at building 
consensus (even for 3.0.0).
In any way, could you ping the reviewers once more on those PRs which you have 
concerns?
If it is merged into `branch-2.4`, it will be Apache Spark 2.4.4 of course.


Bests,
Dongjoon.




On Tue, Jul 16, 2019 at 4:00 AM Kazuaki Ishizaki  wrote:

Thank you Dongjoon for being a release manager.

If the assumed dates are ok, I would like to volunteer for an 2.3.4 release 
manager.

Best Regards,
Kazuaki Ishizaki,



From:Dongjoon Hyun 
To:dev , "user @spark" , 
Apache Spark PMC 
Date:2019/07/13 07:18
Subject:[EXTERNAL] Re: Release Apache Spark 2.4.4 before 3.0.0




Thank you, Jacek.

BTW, I added `@private` since we need PMC's help to make an Apache Spark 
release.

Can I get more feedbacks from the other PMC members?

Please me know if you have any concerns (e.g. Release date or Release manager?)

As one of the community members, I assumed the followings (if we are on 
schedule).

- 2.4.4 at the end of July
- 2.3.4 at the end of August (since 2.3.0 was released at the end of February 
2018)
- 3.0.0 (possibily September?)
- 3.1.0 (January 2020?)

Bests,
Dongjoon.


On Thu, Jul 11, 2019 at 1:30 PM Jacek Laskowski  wrote:
Hi,

Thanks Dongjoon Hyun for stepping up as a release manager! Much appreciated. 

If there's a volunteer to cut a release, I'm always to support it.

In addition, the more frequent releases the better for end users so they have a 
choice to upgrade and have all the latest fixes or wait. It's their call not 
ours (when we'd keep them waiting).

My big 2 yes'es for the release!

Jacek


On Tue, 9 Jul 2019, 18:15 Dongjoon Hyun,  wrote:
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 Error in the spark 2.4 release package with the 
spark-avro_2.11 dependency
- SPARK-27798 from_avro can modify variables in other rows in local mode
- SPARK-27907 HiveUDAF should return NULL in case of 0 rows
- SPARK-28157 Make SHS clear KVStore LogInfo for the blacklist entries
- SPARK-28308 CalendarInterval sub-second part should be padded before 
parsing

It would be great if we can have Spark 2.4.4 before we are going to get busier 
for 3.0.0.
If it's okay, I'd like to volunteer for an 2.4.4 release manager to roll it 
next Monday. (15th July).
How do you think about this?

Bests,
Dongjoon.



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