RE: Announcing Spark 1.0.0

2014-05-30 Thread giive chen
Great work!
On May 30, 2014 10:15 PM, "Ian Ferreira"  wrote:

>  Congrats
>
> Sent from my Windows Phone
>  --
> From: Dean Wampler 
> Sent: 5/30/2014 6:53 AM
> To: user@spark.apache.org
> Subject: Re: Announcing Spark 1.0.0
>
>   Congratulations!!
>
>
> On Fri, May 30, 2014 at 5:12 AM, Patrick Wendell 
> wrote:
>
> I'm thrilled to announce the availability of Spark 1.0.0! Spark 1.0.0
> is a milestone release as the first in the 1.0 line of releases,
> providing API stability for Spark's core interfaces.
>
> Spark 1.0.0 is Spark's largest release ever, with contributions from
> 117 developers. I'd like to thank everyone involved in this release -
> it was truly a community effort with fixes, features, and
> optimizations contributed from dozens of organizations.
>
> This release expands Spark's standard libraries, introducing a new SQL
> package (SparkSQL) which lets users integrate SQL queries into
> existing Spark workflows. MLlib, Spark's machine learning library, is
> expanded with sparse vector support and several new algorithms. The
> GraphX and Streaming libraries also introduce new features and
> optimizations. Spark's core engine adds support for secured YARN
> clusters, a unified tool for submitting Spark applications, and
> several performance and stability improvements. Finally, Spark adds
> support for Java 8 lambda syntax and improves coverage of the Java and
> Python API's.
>
> Those features only scratch the surface - check out the release notes here:
> http://spark.apache.org/releases/spark-release-1-0-0.html
>
> Note that since release artifacts were posted recently, certain
> mirrors may not have working downloads for a few hours.
>
> - Patrick
>
>
>
>
>  --
> Dean Wampler, Ph.D.
> Typesafe
> @deanwampler
> http://typesafe.com
> http://polyglotprogramming.com
>


Re: Announcing Spark 1.0.0

2014-05-30 Thread Nicholas Chammas
You guys were up late, eh? :) I'm looking forward to using this latest
version.

Is there any place we can get a list of the new functions in the Python
API? The release notes don't enumerate them.

Nick



On Fri, May 30, 2014 at 10:15 AM, Ian Ferreira 
wrote:

>  Congrats
>
> Sent from my Windows Phone
>  --
> From: Dean Wampler 
> Sent: ‎5/‎30/‎2014 6:53 AM
>
> To: user@spark.apache.org
> Subject: Re: Announcing Spark 1.0.0
>
>   Congratulations!!
>
>
> On Fri, May 30, 2014 at 5:12 AM, Patrick Wendell 
> wrote:
>
> I'm thrilled to announce the availability of Spark 1.0.0! Spark 1.0.0
> is a milestone release as the first in the 1.0 line of releases,
> providing API stability for Spark's core interfaces.
>
> Spark 1.0.0 is Spark's largest release ever, with contributions from
> 117 developers. I'd like to thank everyone involved in this release -
> it was truly a community effort with fixes, features, and
> optimizations contributed from dozens of organizations.
>
> This release expands Spark's standard libraries, introducing a new SQL
> package (SparkSQL) which lets users integrate SQL queries into
> existing Spark workflows. MLlib, Spark's machine learning library, is
> expanded with sparse vector support and several new algorithms. The
> GraphX and Streaming libraries also introduce new features and
> optimizations. Spark's core engine adds support for secured YARN
> clusters, a unified tool for submitting Spark applications, and
> several performance and stability improvements. Finally, Spark adds
> support for Java 8 lambda syntax and improves coverage of the Java and
> Python API's.
>
> Those features only scratch the surface - check out the release notes here:
> http://spark.apache.org/releases/spark-release-1-0-0.html
>
> Note that since release artifacts were posted recently, certain
> mirrors may not have working downloads for a few hours.
>
> - Patrick
>
>
>
>
>  --
> Dean Wampler, Ph.D.
> Typesafe
> @deanwampler
> http://typesafe.com
> http://polyglotprogramming.com
>


RE: Announcing Spark 1.0.0

2014-05-30 Thread Ian Ferreira
Congrats

Sent from my Windows Phone

From: Dean Wampler<mailto:deanwamp...@gmail.com>
Sent: ‎5/‎30/‎2014 6:53 AM
To: user@spark.apache.org<mailto:user@spark.apache.org>
Subject: Re: Announcing Spark 1.0.0

Congratulations!!


On Fri, May 30, 2014 at 5:12 AM, Patrick Wendell  wrote:

> I'm thrilled to announce the availability of Spark 1.0.0! Spark 1.0.0
> is a milestone release as the first in the 1.0 line of releases,
> providing API stability for Spark's core interfaces.
>
> Spark 1.0.0 is Spark's largest release ever, with contributions from
> 117 developers. I'd like to thank everyone involved in this release -
> it was truly a community effort with fixes, features, and
> optimizations contributed from dozens of organizations.
>
> This release expands Spark's standard libraries, introducing a new SQL
> package (SparkSQL) which lets users integrate SQL queries into
> existing Spark workflows. MLlib, Spark's machine learning library, is
> expanded with sparse vector support and several new algorithms. The
> GraphX and Streaming libraries also introduce new features and
> optimizations. Spark's core engine adds support for secured YARN
> clusters, a unified tool for submitting Spark applications, and
> several performance and stability improvements. Finally, Spark adds
> support for Java 8 lambda syntax and improves coverage of the Java and
> Python API's.
>
> Those features only scratch the surface - check out the release notes here:
> http://spark.apache.org/releases/spark-release-1-0-0.html
>
> Note that since release artifacts were posted recently, certain
> mirrors may not have working downloads for a few hours.
>
> - Patrick
>



--
Dean Wampler, Ph.D.
Typesafe
@deanwampler
http://typesafe.com
http://polyglotprogramming.com


Re: Announcing Spark 1.0.0

2014-05-30 Thread Dean Wampler
Congratulations!!


On Fri, May 30, 2014 at 5:12 AM, Patrick Wendell  wrote:

> I'm thrilled to announce the availability of Spark 1.0.0! Spark 1.0.0
> is a milestone release as the first in the 1.0 line of releases,
> providing API stability for Spark's core interfaces.
>
> Spark 1.0.0 is Spark's largest release ever, with contributions from
> 117 developers. I'd like to thank everyone involved in this release -
> it was truly a community effort with fixes, features, and
> optimizations contributed from dozens of organizations.
>
> This release expands Spark's standard libraries, introducing a new SQL
> package (SparkSQL) which lets users integrate SQL queries into
> existing Spark workflows. MLlib, Spark's machine learning library, is
> expanded with sparse vector support and several new algorithms. The
> GraphX and Streaming libraries also introduce new features and
> optimizations. Spark's core engine adds support for secured YARN
> clusters, a unified tool for submitting Spark applications, and
> several performance and stability improvements. Finally, Spark adds
> support for Java 8 lambda syntax and improves coverage of the Java and
> Python API's.
>
> Those features only scratch the surface - check out the release notes here:
> http://spark.apache.org/releases/spark-release-1-0-0.html
>
> Note that since release artifacts were posted recently, certain
> mirrors may not have working downloads for a few hours.
>
> - Patrick
>



-- 
Dean Wampler, Ph.D.
Typesafe
@deanwampler
http://typesafe.com
http://polyglotprogramming.com


Re: Announcing Spark 1.0.0

2014-05-30 Thread Chanwit Kaewkasi
Congratulations !!

-chanwit

--
Chanwit Kaewkasi
linkedin.com/in/chanwit


On Fri, May 30, 2014 at 5:12 PM, Patrick Wendell  wrote:
> I'm thrilled to announce the availability of Spark 1.0.0! Spark 1.0.0
> is a milestone release as the first in the 1.0 line of releases,
> providing API stability for Spark's core interfaces.
>
> Spark 1.0.0 is Spark's largest release ever, with contributions from
> 117 developers. I'd like to thank everyone involved in this release -
> it was truly a community effort with fixes, features, and
> optimizations contributed from dozens of organizations.
>
> This release expands Spark's standard libraries, introducing a new SQL
> package (SparkSQL) which lets users integrate SQL queries into
> existing Spark workflows. MLlib, Spark's machine learning library, is
> expanded with sparse vector support and several new algorithms. The
> GraphX and Streaming libraries also introduce new features and
> optimizations. Spark's core engine adds support for secured YARN
> clusters, a unified tool for submitting Spark applications, and
> several performance and stability improvements. Finally, Spark adds
> support for Java 8 lambda syntax and improves coverage of the Java and
> Python API's.
>
> Those features only scratch the surface - check out the release notes here:
> http://spark.apache.org/releases/spark-release-1-0-0.html
>
> Note that since release artifacts were posted recently, certain
> mirrors may not have working downloads for a few hours.
>
> - Patrick


Re: Announcing Spark 1.0.0

2014-05-30 Thread Ognen Duzlevski

How exciting! Congratulations! :-)
Ognen

On 5/30/14, 5:12 AM, Patrick Wendell wrote:

I'm thrilled to announce the availability of Spark 1.0.0! Spark 1.0.0
is a milestone release as the first in the 1.0 line of releases,
providing API stability for Spark's core interfaces.

Spark 1.0.0 is Spark's largest release ever, with contributions from
117 developers. I'd like to thank everyone involved in this release -
it was truly a community effort with fixes, features, and
optimizations contributed from dozens of organizations.

This release expands Spark's standard libraries, introducing a new SQL
package (SparkSQL) which lets users integrate SQL queries into
existing Spark workflows. MLlib, Spark's machine learning library, is
expanded with sparse vector support and several new algorithms. The
GraphX and Streaming libraries also introduce new features and
optimizations. Spark's core engine adds support for secured YARN
clusters, a unified tool for submitting Spark applications, and
several performance and stability improvements. Finally, Spark adds
support for Java 8 lambda syntax and improves coverage of the Java and
Python API's.

Those features only scratch the surface - check out the release notes here:
http://spark.apache.org/releases/spark-release-1-0-0.html

Note that since release artifacts were posted recently, certain
mirrors may not have working downloads for a few hours.

- Patrick




Re: Announcing Spark 1.0.0

2014-05-30 Thread John Omernik
By the  way:

This is great work. I am new to the spark world, and have been like a kid
in a candy store learnign all it can do.

Is there a good list of build variables? What I me is like the SPARK_HIVE
variable described on the Spark SQL page. I'd like to include that, but
once I found that I wondered if there were other options I should consider
before building.

Thanks!



On Fri, May 30, 2014 at 6:52 AM, John Omernik  wrote:

> All:
>
> In the pom.xml file I see the MapR repository, but it's not included in
> the ./project/SparkBuild.scala file. Is this expected?  I know to build I
> have to add it there otherwise sbt hates me with evil red messages and
> such.
>
> John
>
>
> On Fri, May 30, 2014 at 6:24 AM, Kousuke Saruta  > wrote:
>
>> Hi all
>>
>>
>>
>> In <https://spark.apache.org/downloads.html>, the URL for release note
>> of 1.0.0 seems to be wrong.
>>
>> The URL should be
>> https://spark.apache.org/releases/spark-release-1-0-0.html but links to
>> https://spark.apache.org/releases/spark-release-1.0.0.html
>>
>>
>>
>> Best Regards,
>>
>> Kousuke
>>
>>
>>
>> *From:* prabeesh k [mailto:prabsma...@gmail.com]
>> *Sent:* Friday, May 30, 2014 8:18 PM
>> *To:* user@spark.apache.org
>> *Subject:* Re: Announcing Spark 1.0.0
>>
>>
>>
>> I forgot to hard refresh.
>>
>> thanks
>>
>>
>>
>>
>>
>> On Fri, May 30, 2014 at 4:18 PM, Patrick Wendell 
>> wrote:
>>
>> It is updated - try holding "Shift + refresh" in your browser, you are
>> probably caching the page.
>>
>>
>> On Fri, May 30, 2014 at 3:46 AM, prabeesh k  wrote:
>> > Please update the http://spark.apache.org/docs/latest/  link
>> >
>> >
>> > On Fri, May 30, 2014 at 4:03 PM, Margusja  wrote:
>> >>
>> >> Is it possible to download pre build package?
>> >>
>> >>
>> http://mirror.symnds.com/software/Apache/incubator/spark/spark-1.0.0/spark-1.0.0-bin-hadoop2.tgz
>> >> - gives me 404
>> >>
>> >> Best regards, Margus (Margusja) Roo
>> >> +372 51 48 780
>> >> http://margus.roo.ee
>> >> http://ee.linkedin.com/in/margusroo
>> >> skype: margusja
>> >> ldapsearch -x -h ldap.sk.ee -b c=EE "(serialNumber=37303140314)"
>> >>
>> >>
>> >> On 30/05/14 13:18, Christopher Nguyen wrote:
>> >>>
>> >>> Awesome work, Pat et al.!
>> >>>
>> >>> --
>> >>> Christopher T. Nguyen
>> >>> Co-founder & CEO, Adatao <http://adatao.com>
>> >>> linkedin.com/in/ctnguyen <http://linkedin.com/in/ctnguyen>
>> >>>
>> >>>
>> >>>
>> >>>
>> >>> On Fri, May 30, 2014 at 3:12 AM, Patrick Wendell > >>> <mailto:pwend...@gmail.com>> wrote:
>> >>>
>> >>> I'm thrilled to announce the availability of Spark 1.0.0! Spark
>> 1.0.0
>> >>> is a milestone release as the first in the 1.0 line of releases,
>> >>> providing API stability for Spark's core interfaces.
>> >>>
>> >>> Spark 1.0.0 is Spark's largest release ever, with contributions
>> from
>> >>> 117 developers. I'd like to thank everyone involved in this
>> release -
>> >>> it was truly a community effort with fixes, features, and
>> >>> optimizations contributed from dozens of organizations.
>> >>>
>> >>> This release expands Spark's standard libraries, introducing a new
>> >>> SQL
>> >>> package (SparkSQL) which lets users integrate SQL queries into
>> >>> existing Spark workflows. MLlib, Spark's machine learning
>> library, is
>> >>> expanded with sparse vector support and several new algorithms.
>> The
>> >>> GraphX and Streaming libraries also introduce new features and
>> >>> optimizations. Spark's core engine adds support for secured YARN
>> >>> clusters, a unified tool for submitting Spark applications, and
>> >>> several performance and stability improvements. Finally, Spark
>> adds
>> >>> support for Java 8 lambda syntax and improves coverage of the Java
>> >>> and
>> >>> Python API's.
>> >>>
>> >>> Those features only scratch the surface - check out the release
>> >>> notes here:
>> >>> http://spark.apache.org/releases/spark-release-1-0-0.html
>> >>>
>> >>> Note that since release artifacts were posted recently, certain
>> >>> mirrors may not have working downloads for a few hours.
>> >>>
>> >>> - Patrick
>> >>>
>> >>>
>> >>
>> >
>>
>>
>>
>
>


Re: Announcing Spark 1.0.0

2014-05-30 Thread jose farfan
Awesome work



On Fri, May 30, 2014 at 12:12 PM, Patrick Wendell 
wrote:

> I'm thrilled to announce the availability of Spark 1.0.0! Spark 1.0.0
> is a milestone release as the first in the 1.0 line of releases,
> providing API stability for Spark's core interfaces.
>
> Spark 1.0.0 is Spark's largest release ever, with contributions from
> 117 developers. I'd like to thank everyone involved in this release -
> it was truly a community effort with fixes, features, and
> optimizations contributed from dozens of organizations.
>
> This release expands Spark's standard libraries, introducing a new SQL
> package (SparkSQL) which lets users integrate SQL queries into
> existing Spark workflows. MLlib, Spark's machine learning library, is
> expanded with sparse vector support and several new algorithms. The
> GraphX and Streaming libraries also introduce new features and
> optimizations. Spark's core engine adds support for secured YARN
> clusters, a unified tool for submitting Spark applications, and
> several performance and stability improvements. Finally, Spark adds
> support for Java 8 lambda syntax and improves coverage of the Java and
> Python API's.
>
> Those features only scratch the surface - check out the release notes here:
> http://spark.apache.org/releases/spark-release-1-0-0.html
>
> Note that since release artifacts were posted recently, certain
> mirrors may not have working downloads for a few hours.
>
> - Patrick
>


Re: Announcing Spark 1.0.0

2014-05-30 Thread John Omernik
All:

In the pom.xml file I see the MapR repository, but it's not included in the
./project/SparkBuild.scala file. Is this expected?  I know to build I have
to add it there otherwise sbt hates me with evil red messages and such.

John


On Fri, May 30, 2014 at 6:24 AM, Kousuke Saruta 
wrote:

> Hi all
>
>
>
> In <https://spark.apache.org/downloads.html>, the URL for release note of
> 1.0.0 seems to be wrong.
>
> The URL should be
> https://spark.apache.org/releases/spark-release-1-0-0.html but links to
> https://spark.apache.org/releases/spark-release-1.0.0.html
>
>
>
> Best Regards,
>
> Kousuke
>
>
>
> *From:* prabeesh k [mailto:prabsma...@gmail.com]
> *Sent:* Friday, May 30, 2014 8:18 PM
> *To:* user@spark.apache.org
> *Subject:* Re: Announcing Spark 1.0.0
>
>
>
> I forgot to hard refresh.
>
> thanks
>
>
>
>
>
> On Fri, May 30, 2014 at 4:18 PM, Patrick Wendell 
> wrote:
>
> It is updated - try holding "Shift + refresh" in your browser, you are
> probably caching the page.
>
>
> On Fri, May 30, 2014 at 3:46 AM, prabeesh k  wrote:
> > Please update the http://spark.apache.org/docs/latest/  link
> >
> >
> > On Fri, May 30, 2014 at 4:03 PM, Margusja  wrote:
> >>
> >> Is it possible to download pre build package?
> >>
> >>
> http://mirror.symnds.com/software/Apache/incubator/spark/spark-1.0.0/spark-1.0.0-bin-hadoop2.tgz
> >> - gives me 404
> >>
> >> Best regards, Margus (Margusja) Roo
> >> +372 51 48 780
> >> http://margus.roo.ee
> >> http://ee.linkedin.com/in/margusroo
> >> skype: margusja
> >> ldapsearch -x -h ldap.sk.ee -b c=EE "(serialNumber=37303140314)"
> >>
> >>
> >> On 30/05/14 13:18, Christopher Nguyen wrote:
> >>>
> >>> Awesome work, Pat et al.!
> >>>
> >>> --
> >>> Christopher T. Nguyen
> >>> Co-founder & CEO, Adatao <http://adatao.com>
> >>> linkedin.com/in/ctnguyen <http://linkedin.com/in/ctnguyen>
> >>>
> >>>
> >>>
> >>>
> >>> On Fri, May 30, 2014 at 3:12 AM, Patrick Wendell  >>> <mailto:pwend...@gmail.com>> wrote:
> >>>
> >>> I'm thrilled to announce the availability of Spark 1.0.0! Spark
> 1.0.0
> >>> is a milestone release as the first in the 1.0 line of releases,
> >>> providing API stability for Spark's core interfaces.
> >>>
> >>> Spark 1.0.0 is Spark's largest release ever, with contributions
> from
> >>> 117 developers. I'd like to thank everyone involved in this
> release -
> >>> it was truly a community effort with fixes, features, and
> >>> optimizations contributed from dozens of organizations.
> >>>
> >>> This release expands Spark's standard libraries, introducing a new
> >>> SQL
> >>> package (SparkSQL) which lets users integrate SQL queries into
> >>> existing Spark workflows. MLlib, Spark's machine learning library,
> is
> >>> expanded with sparse vector support and several new algorithms. The
> >>> GraphX and Streaming libraries also introduce new features and
> >>> optimizations. Spark's core engine adds support for secured YARN
> >>> clusters, a unified tool for submitting Spark applications, and
> >>> several performance and stability improvements. Finally, Spark adds
> >>> support for Java 8 lambda syntax and improves coverage of the Java
> >>> and
> >>> Python API's.
> >>>
> >>> Those features only scratch the surface - check out the release
> >>> notes here:
> >>> http://spark.apache.org/releases/spark-release-1-0-0.html
> >>>
> >>> Note that since release artifacts were posted recently, certain
> >>> mirrors may not have working downloads for a few hours.
> >>>
> >>> - Patrick
> >>>
> >>>
> >>
> >
>
>
>


RE: Announcing Spark 1.0.0

2014-05-30 Thread Kousuke Saruta
Hi all

 

In <https://spark.apache.org/downloads.html>, the URL for release note of 1.0.0 
seems to be wrong.

The URL should be https://spark.apache.org/releases/spark-release-1-0-0.html 
but links to https://spark.apache.org/releases/spark-release-1.0.0.html

 

Best Regards,

Kousuke

 

From: prabeesh k [mailto:prabsma...@gmail.com] 
Sent: Friday, May 30, 2014 8:18 PM
To: user@spark.apache.org
Subject: Re: Announcing Spark 1.0.0

 

I forgot to hard refresh.

thanks

 

 

On Fri, May 30, 2014 at 4:18 PM, Patrick Wendell  wrote:

It is updated - try holding "Shift + refresh" in your browser, you are
probably caching the page.


On Fri, May 30, 2014 at 3:46 AM, prabeesh k  wrote:
> Please update the http://spark.apache.org/docs/latest/  link
>
>
> On Fri, May 30, 2014 at 4:03 PM, Margusja  wrote:
>>
>> Is it possible to download pre build package?
>>
>> http://mirror.symnds.com/software/Apache/incubator/spark/spark-1.0.0/spark-1.0.0-bin-hadoop2.tgz
>> - gives me 404
>>
>> Best regards, Margus (Margusja) Roo
>> +372 51 48 780  
>> http://margus.roo.ee
>> http://ee.linkedin.com/in/margusroo
>> skype: margusja
>> ldapsearch -x -h ldap.sk.ee -b c=EE "(serialNumber=37303140314)"
>>
>>
>> On 30/05/14 13:18, Christopher Nguyen wrote:
>>>
>>> Awesome work, Pat et al.!
>>>
>>> --
>>> Christopher T. Nguyen
>>> Co-founder & CEO, Adatao <http://adatao.com>
>>> linkedin.com/in/ctnguyen <http://linkedin.com/in/ctnguyen>
>>>
>>>
>>>
>>>
>>> On Fri, May 30, 2014 at 3:12 AM, Patrick Wendell >> <mailto:pwend...@gmail.com>> wrote:
>>>
>>> I'm thrilled to announce the availability of Spark 1.0.0! Spark 1.0.0
>>> is a milestone release as the first in the 1.0 line of releases,
>>> providing API stability for Spark's core interfaces.
>>>
>>> Spark 1.0.0 is Spark's largest release ever, with contributions from
>>> 117 developers. I'd like to thank everyone involved in this release -
>>> it was truly a community effort with fixes, features, and
>>> optimizations contributed from dozens of organizations.
>>>
>>> This release expands Spark's standard libraries, introducing a new
>>> SQL
>>> package (SparkSQL) which lets users integrate SQL queries into
>>> existing Spark workflows. MLlib, Spark's machine learning library, is
>>> expanded with sparse vector support and several new algorithms. The
>>> GraphX and Streaming libraries also introduce new features and
>>> optimizations. Spark's core engine adds support for secured YARN
>>> clusters, a unified tool for submitting Spark applications, and
>>> several performance and stability improvements. Finally, Spark adds
>>> support for Java 8 lambda syntax and improves coverage of the Java
>>> and
>>> Python API's.
>>>
>>> Those features only scratch the surface - check out the release
>>> notes here:
>>> http://spark.apache.org/releases/spark-release-1-0-0.html
>>>
>>> Note that since release artifacts were posted recently, certain
>>> mirrors may not have working downloads for a few hours.
>>>
>>> - Patrick
>>>
>>>
>>
>

 



Re: Announcing Spark 1.0.0

2014-05-30 Thread prabeesh k
I forgot to hard refresh.
thanks



On Fri, May 30, 2014 at 4:18 PM, Patrick Wendell  wrote:

> It is updated - try holding "Shift + refresh" in your browser, you are
> probably caching the page.
>
> On Fri, May 30, 2014 at 3:46 AM, prabeesh k  wrote:
> > Please update the http://spark.apache.org/docs/latest/  link
> >
> >
> > On Fri, May 30, 2014 at 4:03 PM, Margusja  wrote:
> >>
> >> Is it possible to download pre build package?
> >>
> >>
> http://mirror.symnds.com/software/Apache/incubator/spark/spark-1.0.0/spark-1.0.0-bin-hadoop2.tgz
> >> - gives me 404
> >>
> >> Best regards, Margus (Margusja) Roo
> >> +372 51 48 780
> >> http://margus.roo.ee
> >> http://ee.linkedin.com/in/margusroo
> >> skype: margusja
> >> ldapsearch -x -h ldap.sk.ee -b c=EE "(serialNumber=37303140314)"
> >>
> >>
> >> On 30/05/14 13:18, Christopher Nguyen wrote:
> >>>
> >>> Awesome work, Pat et al.!
> >>>
> >>> --
> >>> Christopher T. Nguyen
> >>> Co-founder & CEO, Adatao 
> >>> linkedin.com/in/ctnguyen 
> >>>
> >>>
> >>>
> >>>
> >>> On Fri, May 30, 2014 at 3:12 AM, Patrick Wendell  >>> > wrote:
> >>>
> >>> I'm thrilled to announce the availability of Spark 1.0.0! Spark
> 1.0.0
> >>> is a milestone release as the first in the 1.0 line of releases,
> >>> providing API stability for Spark's core interfaces.
> >>>
> >>> Spark 1.0.0 is Spark's largest release ever, with contributions
> from
> >>> 117 developers. I'd like to thank everyone involved in this
> release -
> >>> it was truly a community effort with fixes, features, and
> >>> optimizations contributed from dozens of organizations.
> >>>
> >>> This release expands Spark's standard libraries, introducing a new
> >>> SQL
> >>> package (SparkSQL) which lets users integrate SQL queries into
> >>> existing Spark workflows. MLlib, Spark's machine learning library,
> is
> >>> expanded with sparse vector support and several new algorithms. The
> >>> GraphX and Streaming libraries also introduce new features and
> >>> optimizations. Spark's core engine adds support for secured YARN
> >>> clusters, a unified tool for submitting Spark applications, and
> >>> several performance and stability improvements. Finally, Spark adds
> >>> support for Java 8 lambda syntax and improves coverage of the Java
> >>> and
> >>> Python API's.
> >>>
> >>> Those features only scratch the surface - check out the release
> >>> notes here:
> >>> http://spark.apache.org/releases/spark-release-1-0-0.html
> >>>
> >>> Note that since release artifacts were posted recently, certain
> >>> mirrors may not have working downloads for a few hours.
> >>>
> >>> - Patrick
> >>>
> >>>
> >>
> >
>


Re: Announcing Spark 1.0.0

2014-05-30 Thread Margusja

Now I can download. Thanks.

Best regards, Margus (Margusja) Roo
+372 51 48 780
http://margus.roo.ee
http://ee.linkedin.com/in/margusroo
skype: margusja
ldapsearch -x -h ldap.sk.ee -b c=EE "(serialNumber=37303140314)"

On 30/05/14 13:48, Patrick Wendell wrote:

It is updated - try holding "Shift + refresh" in your browser, you are
probably caching the page.

On Fri, May 30, 2014 at 3:46 AM, prabeesh k  wrote:

Please update the http://spark.apache.org/docs/latest/  link


On Fri, May 30, 2014 at 4:03 PM, Margusja  wrote:

Is it possible to download pre build package?

http://mirror.symnds.com/software/Apache/incubator/spark/spark-1.0.0/spark-1.0.0-bin-hadoop2.tgz
- gives me 404

Best regards, Margus (Margusja) Roo
+372 51 48 780
http://margus.roo.ee
http://ee.linkedin.com/in/margusroo
skype: margusja
ldapsearch -x -h ldap.sk.ee -b c=EE "(serialNumber=37303140314)"


On 30/05/14 13:18, Christopher Nguyen wrote:

Awesome work, Pat et al.!

--
Christopher T. Nguyen
Co-founder & CEO, Adatao 
linkedin.com/in/ctnguyen 




On Fri, May 30, 2014 at 3:12 AM, Patrick Wendell mailto:pwend...@gmail.com>> wrote:

 I'm thrilled to announce the availability of Spark 1.0.0! Spark 1.0.0
 is a milestone release as the first in the 1.0 line of releases,
 providing API stability for Spark's core interfaces.

 Spark 1.0.0 is Spark's largest release ever, with contributions from
 117 developers. I'd like to thank everyone involved in this release -
 it was truly a community effort with fixes, features, and
 optimizations contributed from dozens of organizations.

 This release expands Spark's standard libraries, introducing a new
SQL
 package (SparkSQL) which lets users integrate SQL queries into
 existing Spark workflows. MLlib, Spark's machine learning library, is
 expanded with sparse vector support and several new algorithms. The
 GraphX and Streaming libraries also introduce new features and
 optimizations. Spark's core engine adds support for secured YARN
 clusters, a unified tool for submitting Spark applications, and
 several performance and stability improvements. Finally, Spark adds
 support for Java 8 lambda syntax and improves coverage of the Java
and
 Python API's.

 Those features only scratch the surface - check out the release
 notes here:
 http://spark.apache.org/releases/spark-release-1-0-0.html

 Note that since release artifacts were posted recently, certain
 mirrors may not have working downloads for a few hours.

 - Patrick






Re: Announcing Spark 1.0.0

2014-05-30 Thread Patrick Wendell
It is updated - try holding "Shift + refresh" in your browser, you are
probably caching the page.

On Fri, May 30, 2014 at 3:46 AM, prabeesh k  wrote:
> Please update the http://spark.apache.org/docs/latest/  link
>
>
> On Fri, May 30, 2014 at 4:03 PM, Margusja  wrote:
>>
>> Is it possible to download pre build package?
>>
>> http://mirror.symnds.com/software/Apache/incubator/spark/spark-1.0.0/spark-1.0.0-bin-hadoop2.tgz
>> - gives me 404
>>
>> Best regards, Margus (Margusja) Roo
>> +372 51 48 780
>> http://margus.roo.ee
>> http://ee.linkedin.com/in/margusroo
>> skype: margusja
>> ldapsearch -x -h ldap.sk.ee -b c=EE "(serialNumber=37303140314)"
>>
>>
>> On 30/05/14 13:18, Christopher Nguyen wrote:
>>>
>>> Awesome work, Pat et al.!
>>>
>>> --
>>> Christopher T. Nguyen
>>> Co-founder & CEO, Adatao 
>>> linkedin.com/in/ctnguyen 
>>>
>>>
>>>
>>>
>>> On Fri, May 30, 2014 at 3:12 AM, Patrick Wendell >> > wrote:
>>>
>>> I'm thrilled to announce the availability of Spark 1.0.0! Spark 1.0.0
>>> is a milestone release as the first in the 1.0 line of releases,
>>> providing API stability for Spark's core interfaces.
>>>
>>> Spark 1.0.0 is Spark's largest release ever, with contributions from
>>> 117 developers. I'd like to thank everyone involved in this release -
>>> it was truly a community effort with fixes, features, and
>>> optimizations contributed from dozens of organizations.
>>>
>>> This release expands Spark's standard libraries, introducing a new
>>> SQL
>>> package (SparkSQL) which lets users integrate SQL queries into
>>> existing Spark workflows. MLlib, Spark's machine learning library, is
>>> expanded with sparse vector support and several new algorithms. The
>>> GraphX and Streaming libraries also introduce new features and
>>> optimizations. Spark's core engine adds support for secured YARN
>>> clusters, a unified tool for submitting Spark applications, and
>>> several performance and stability improvements. Finally, Spark adds
>>> support for Java 8 lambda syntax and improves coverage of the Java
>>> and
>>> Python API's.
>>>
>>> Those features only scratch the surface - check out the release
>>> notes here:
>>> http://spark.apache.org/releases/spark-release-1-0-0.html
>>>
>>> Note that since release artifacts were posted recently, certain
>>> mirrors may not have working downloads for a few hours.
>>>
>>> - Patrick
>>>
>>>
>>
>


Re: Announcing Spark 1.0.0

2014-05-30 Thread prabeesh k
Please update the http://spark.apache.org/docs/latest/  link


On Fri, May 30, 2014 at 4:03 PM, Margusja  wrote:

> Is it possible to download pre build package?
> http://mirror.symnds.com/software/Apache/incubator/
> spark/spark-1.0.0/spark-1.0.0-bin-hadoop2.tgz - gives me 404
>
> Best regards, Margus (Margusja) Roo
> +372 51 48 780
> http://margus.roo.ee
> http://ee.linkedin.com/in/margusroo
> skype: margusja
> ldapsearch -x -h ldap.sk.ee -b c=EE "(serialNumber=37303140314)"
>
>
> On 30/05/14 13:18, Christopher Nguyen wrote:
>
>> Awesome work, Pat et al.!
>>
>> --
>> Christopher T. Nguyen
>> Co-founder & CEO, Adatao 
>> linkedin.com/in/ctnguyen 
>>
>>
>>
>>
>> On Fri, May 30, 2014 at 3:12 AM, Patrick Wendell > > wrote:
>>
>> I'm thrilled to announce the availability of Spark 1.0.0! Spark 1.0.0
>> is a milestone release as the first in the 1.0 line of releases,
>> providing API stability for Spark's core interfaces.
>>
>> Spark 1.0.0 is Spark's largest release ever, with contributions from
>> 117 developers. I'd like to thank everyone involved in this release -
>> it was truly a community effort with fixes, features, and
>> optimizations contributed from dozens of organizations.
>>
>> This release expands Spark's standard libraries, introducing a new SQL
>> package (SparkSQL) which lets users integrate SQL queries into
>> existing Spark workflows. MLlib, Spark's machine learning library, is
>> expanded with sparse vector support and several new algorithms. The
>> GraphX and Streaming libraries also introduce new features and
>> optimizations. Spark's core engine adds support for secured YARN
>> clusters, a unified tool for submitting Spark applications, and
>> several performance and stability improvements. Finally, Spark adds
>> support for Java 8 lambda syntax and improves coverage of the Java and
>> Python API's.
>>
>> Those features only scratch the surface - check out the release
>> notes here:
>> http://spark.apache.org/releases/spark-release-1-0-0.html
>>
>> Note that since release artifacts were posted recently, certain
>> mirrors may not have working downloads for a few hours.
>>
>> - Patrick
>>
>>
>>
>


Re: Announcing Spark 1.0.0

2014-05-30 Thread Margusja

Is it possible to download pre build package?
http://mirror.symnds.com/software/Apache/incubator/spark/spark-1.0.0/spark-1.0.0-bin-hadoop2.tgz 
- gives me 404


Best regards, Margus (Margusja) Roo
+372 51 48 780
http://margus.roo.ee
http://ee.linkedin.com/in/margusroo
skype: margusja
ldapsearch -x -h ldap.sk.ee -b c=EE "(serialNumber=37303140314)"

On 30/05/14 13:18, Christopher Nguyen wrote:

Awesome work, Pat et al.!

--
Christopher T. Nguyen
Co-founder & CEO, Adatao 
linkedin.com/in/ctnguyen 



On Fri, May 30, 2014 at 3:12 AM, Patrick Wendell > wrote:


I'm thrilled to announce the availability of Spark 1.0.0! Spark 1.0.0
is a milestone release as the first in the 1.0 line of releases,
providing API stability for Spark's core interfaces.

Spark 1.0.0 is Spark's largest release ever, with contributions from
117 developers. I'd like to thank everyone involved in this release -
it was truly a community effort with fixes, features, and
optimizations contributed from dozens of organizations.

This release expands Spark's standard libraries, introducing a new SQL
package (SparkSQL) which lets users integrate SQL queries into
existing Spark workflows. MLlib, Spark's machine learning library, is
expanded with sparse vector support and several new algorithms. The
GraphX and Streaming libraries also introduce new features and
optimizations. Spark's core engine adds support for secured YARN
clusters, a unified tool for submitting Spark applications, and
several performance and stability improvements. Finally, Spark adds
support for Java 8 lambda syntax and improves coverage of the Java and
Python API's.

Those features only scratch the surface - check out the release
notes here:
http://spark.apache.org/releases/spark-release-1-0-0.html

Note that since release artifacts were posted recently, certain
mirrors may not have working downloads for a few hours.

- Patrick






Re: Announcing Spark 1.0.0

2014-05-30 Thread Christopher Nguyen
Awesome work, Pat et al.!

--
Christopher T. Nguyen
Co-founder & CEO, Adatao 
linkedin.com/in/ctnguyen



On Fri, May 30, 2014 at 3:12 AM, Patrick Wendell  wrote:

> I'm thrilled to announce the availability of Spark 1.0.0! Spark 1.0.0
> is a milestone release as the first in the 1.0 line of releases,
> providing API stability for Spark's core interfaces.
>
> Spark 1.0.0 is Spark's largest release ever, with contributions from
> 117 developers. I'd like to thank everyone involved in this release -
> it was truly a community effort with fixes, features, and
> optimizations contributed from dozens of organizations.
>
> This release expands Spark's standard libraries, introducing a new SQL
> package (SparkSQL) which lets users integrate SQL queries into
> existing Spark workflows. MLlib, Spark's machine learning library, is
> expanded with sparse vector support and several new algorithms. The
> GraphX and Streaming libraries also introduce new features and
> optimizations. Spark's core engine adds support for secured YARN
> clusters, a unified tool for submitting Spark applications, and
> several performance and stability improvements. Finally, Spark adds
> support for Java 8 lambda syntax and improves coverage of the Java and
> Python API's.
>
> Those features only scratch the surface - check out the release notes here:
> http://spark.apache.org/releases/spark-release-1-0-0.html
>
> Note that since release artifacts were posted recently, certain
> mirrors may not have working downloads for a few hours.
>
> - Patrick
>


Announcing Spark 1.0.0

2014-05-30 Thread Patrick Wendell
I'm thrilled to announce the availability of Spark 1.0.0! Spark 1.0.0
is a milestone release as the first in the 1.0 line of releases,
providing API stability for Spark's core interfaces.

Spark 1.0.0 is Spark's largest release ever, with contributions from
117 developers. I'd like to thank everyone involved in this release -
it was truly a community effort with fixes, features, and
optimizations contributed from dozens of organizations.

This release expands Spark's standard libraries, introducing a new SQL
package (SparkSQL) which lets users integrate SQL queries into
existing Spark workflows. MLlib, Spark's machine learning library, is
expanded with sparse vector support and several new algorithms. The
GraphX and Streaming libraries also introduce new features and
optimizations. Spark's core engine adds support for secured YARN
clusters, a unified tool for submitting Spark applications, and
several performance and stability improvements. Finally, Spark adds
support for Java 8 lambda syntax and improves coverage of the Java and
Python API's.

Those features only scratch the surface - check out the release notes here:
http://spark.apache.org/releases/spark-release-1-0-0.html

Note that since release artifacts were posted recently, certain
mirrors may not have working downloads for a few hours.

- Patrick