Re: Unsubscribe

[Hadrien Chicault]

Le ven. 15 juin 2018 à 23:17, Mikhail Dubkov  a
écrit :

> Unsubscribe
>
> On Thu, Jun 14, 2018 at 8:38 PM Kumar S, Sajive 
> wrote:
>
>> Unsubscribe
>>
>

Re: Re: Support SqlStreaming in spark

[Hadrien Chicault]

Unsuscribe

2018-06-15 9:20 GMT+02:00 stc :

> The repo you give may solve some of SqlStreaming problems, but not
> friendly enough, user need to learn this new syntax.
>
> --
> Jacky Lee
> Mail：qcsd2...@163.com
>
> At 2018-06-15 11:48:01, "Bowden, Chris" 
> wrote:
>
> Not sure if there is a question in here, but if you are hinting that
> structured streaming should support a sql interface, spark has appropriate
> extensibility hooks to make it possible. However, the most powerful
> construct in structured streaming is quite difficult to find a sql
> equivalent for (e.g., flatMapGroupsWithState). This repo could use some
> cleanup but is an example of providing a sql interface to a subset of
> structured streaming's functionality: https://github.
> com/vertica/pstl/blob/master/pstl/src/main/antlr4/org/
> apache/spark/sql/catalyst/parser/pstl/PstlSqlBase.g4.
>
> --
> *From:* JackyLee 
> *Sent:* Thursday, June 14, 2018 7:06:17 PM
> *To:* dev@spark.apache.org
> *Subject:* Support SqlStreaming in spark
>
> Hello
>
> Nowadays, more and more streaming products begin to support SQL streaming,
> such as KafaSQL, Flink SQL and Storm SQL. To support SQL Streaming can not
> only reduce the threshold of streaming, but also make streaming easier to
> be
> accepted by everyone.
>
> At present, StructStreaming is relatively mature, and the StructStreaming
> is
> based on DataSet API, which make it possibal to  provide a SQL portal for
> structstreaming and run structstreaming in SQL.
>
> To support for SQL Streaming, there are two key points:
> 1, Analysis should be able to parse streaming type SQL.
> 2, Analyzer should be able to map metadata information to the corresponding
> Relation.
>
> Running StructStreaming in SQL can bring some benefits.
> 1, Reduce the entry threshold of StructStreaming and attract users more
> easily.
> 2, Encapsulate the meta information of source or sink into table, maintain
> and manage uniformly, and make users more accessible.
> 3. Metadata permissions management, which is based on hive, can control
> StructStreaming's overall authority management scheme more closely.
>
> We have found some ways to solve this problem. It's a pleasure to discuss
> it
> with you.
>
> Thanks,
>
> Jackey Lee
>
>
>
> --
> Sent from: http://apache-spark-developers-list.1001551.n3.nabble.com/
>
> -
> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
>
>

Re: [ANNOUNCE] Announcing Apache Spark 2.3.1

[Hadrien Chicault]

Unsubscribe et

Le jeu. 14 juin 2018 à 20:59, Jules Damji  a écrit :

>
>
> Matei & I own it. I normally tweet or handle Spark related PSAs
>
> Cheers
> Jules
>
> Sent from my iPhone
> Pardon the dumb thumb typos :)
>
> > On Jun 14, 2018, at 11:45 AM, Marcelo Vanzin 
> wrote:
> >
> > Hi Jacek,
> >
> > I seriously have no idea... I don't even know who owns that account (I
> > hope they have some connection with the PMC?).
> >
> > But it seems whoever owns it already sent something.
> >
> >> On Thu, Jun 14, 2018 at 12:31 AM, Jacek Laskowski 
> wrote:
> >> Hi Marcelo,
> >>
> >> How to announce it on twitter @ https://twitter.com/apachespark? How
> to make
> >> it part of the release process?
> >>
> >> Pozdrawiam,
> >> Jacek Laskowski
> >> 
> >> https://about.me/JacekLaskowski
> >> Mastering Spark SQL https://bit.ly/mastering-spark-sql
> >> Spark Structured Streaming https://bit.ly/spark-structured-streaming
> >> Mastering Kafka Streams https://bit.ly/mastering-kafka-streams
> >> Follow me at https://twitter.com/jaceklaskowski
> >>
> >>> On Mon, Jun 11, 2018 at 9:47 PM, Marcelo Vanzin 
> wrote:
> >>>
> >>> We are happy to announce the availability of Spark 2.3.1!
> >>>
> >>> Apache Spark 2.3.1 is a maintenance release, based on the branch-2.3
> >>> maintenance branch of Spark. We strongly recommend all 2.3.x users to
> >>> upgrade to this stable release.
> >>>
> >>> To download Spark 2.3.1, head over to the download page:
> >>> http://spark.apache.org/downloads.html
> >>>
> >>> To view the release notes:
> >>> https://spark.apache.org/releases/spark-release-2-3-1.html
> >>>
> >>> We would like to acknowledge all community members for contributing to
> >>> this release. This release would not have been possible without you.
> >>>
> >>>
> >>> --
> >>> Marcelo
> >>>
> >>> -
> >>> To unsubscribe e-mail: user-unsubscr...@spark.apache.org
> >
> >
> >
> > --
> > Marcelo
> >
> > -
> > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
> >
>
>
> -
> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
>
>

unsubscribe

[Hadrien Chicault]

 unsubscribe

Re: SparkR was removed from CRAN on 2018-05-01

[Hadrien Chicault]

unsubscribe

Le ven. 25 mai 2018 à 23:11, Felix Cheung  a
écrit :

> This is the fix
>
> https://github.com/apache/spark/commit/f27a035daf705766d3445e5c6a99867c11c552b0#diff-e1e1d3d40573127e9ee0480caf1283d6
>
> I don’t have the email though.
>
> --
> *From:* Hossein 
> *Sent:* Friday, May 25, 2018 10:58:42 AM
> *To:* dev@spark.apache.org
> *Subject:* SparkR was removed from CRAN on 2018-05-01
>
> Would you please forward the email from CRAN? Is there a JIRA?
>
> Thanks,
> --Hossein
>

Re: 回复： Welcome Zhenhua Wang as a Spark committer

[Hadrien Chicault]

Congrats

Le lun. 2 avr. 2018 à 12:06, Weichen Xu  a
écrit :

> Congrats Zhenhua!
>
> On Mon, Apr 2, 2018 at 5:32 PM, Gengliang  wrote:
>
>> Congrats, Zhenhua!
>>
>>
>>
>> On Mon, Apr 2, 2018 at 5:19 PM, Marco Gaido 
>> wrote:
>>
>>> Congrats Zhenhua!
>>>
>>> 2018-04-02 11:00 GMT+02:00 Saisai Shao :
>>>
 Congrats, Zhenhua!

 2018-04-02 16:57 GMT+08:00 Takeshi Yamamuro :

> Congrats, Zhenhua!
>
> On Mon, Apr 2, 2018 at 4:13 PM, Ted Yu  wrote:
>
>> Congratulations, Zhenhua
>>
>>  Original message 
>> From: 雨中漫步 <601450...@qq.com>
>> Date: 4/1/18 11:30 PM (GMT-08:00)
>> To: Yuanjian Li , Wenchen Fan <
>> cloud0...@gmail.com>
>> Cc: dev 
>> Subject: 回复： Welcome Zhenhua Wang as a Spark committer
>>
>> Congratulations Zhenhua Wang
>>
>>
>> -- 原始邮件 --
>> *发件人:* "Yuanjian Li";
>> *发送时间:* 2018年4月2日(星期一) 下午2:26
>> *收件人:* "Wenchen Fan";
>> *抄送:* "Spark dev list";
>> *主题:* Re: Welcome Zhenhua Wang as a Spark committer
>>
>> Congratulations Zhenhua!!
>>
>> 2018-04-02 13:28 GMT+08:00 Wenchen Fan :
>>
>>> Hi all,
>>>
>>> The Spark PMC recently added Zhenhua Wang as a committer on the
>>> project. Zhenhua is the major contributor of the CBO project, and has 
>>> been
>>> contributing across several areas of Spark for a while, focusing 
>>> especially
>>> on analyzer, optimizer in Spark SQL. Please join me in welcoming 
>>> Zhenhua!
>>>
>>> Wenchen
>>>
>>
>>
>
>
> --
> ---
> Takeshi Yamamuro
>


>>>
>>
>

[MLlib] QuantRegForest

[Hadrien]

Hi,

we implemented a QuantRegForest to be used with Spark. We coded it in scala.
I don't know if you could be interrested but we offer to share it with you
(btw the original implementation is in R and called quantregForest :
https://cran.r-project.org/web/packages/quantregForest/index.html)

Can't wait to hear from you!



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