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Date: Mon, 22 Dec 2014 18:21:05 -0500
From: peng <pc175@uowmail.edu.au>
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To: Andrew Ash <andrew@andrewash.com>
CC: "user@spark.apache.org" <user@spark.apache.org>, dev
	<dev@spark.apache.org>, Xiangrui Meng <mengxr@gmail.com>
Subject: Re: Announcing Spark Packages
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Me 2 :)

On 12/22/2014 06:14 PM, Andrew Ash wrote:
> Hi Xiangrui,
>
> That link is currently returning a 503 Over Quota error message.  
> Would you mind pinging back out when the page is back up?
>
> Thanks!
> Andrew
>
> On Mon, Dec 22, 2014 at 12:37 PM, Xiangrui Meng <mengxr@gmail.com 
> <mailto:mengxr@gmail.com>> wrote:
>
>     Dear Spark users and developers,
>
>     I’m happy to announce Spark Packages (http://spark-packages.org), a
>     community package index to track the growing number of open source
>     packages and libraries that work with Apache Spark. Spark Packages
>     makes it easy for users to find, discuss, rate, and install packages
>     for any version of Spark, and makes it easy for developers to
>     contribute packages.
>
>     Spark Packages will feature integrations with various data sources,
>     management tools, higher level domain-specific libraries, machine
>     learning algorithms, code samples, and other Spark content. Thanks to
>     the package authors, the initial listing of packages includes
>     scientific computing libraries, a job execution server, a connector
>     for importing Avro data, tools for launching Spark on Google Compute
>     Engine, and many others.
>
>     I’d like to invite you to contribute and use Spark Packages and
>     provide feedback! As a disclaimer: Spark Packages is a community index
>     maintained by Databricks and (by design) will include packages outside
>     of the ASF Spark project. We are excited to help showcase and support
>     all of the great work going on in the broader Spark community!
>
>     Cheers,
>     Xiangrui
>
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>     <mailto:user-unsubscribe@spark.apache.org>
>     For additional commands, e-mail: user-help@spark.apache.org
>     <mailto:user-help@spark.apache.org>
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    Me 2 :)<br>
    <br>
    <div class="moz-cite-prefix">On 12/22/2014 06:14 PM, Andrew Ash
      wrote:<br>
    </div>
    <blockquote
cite="mid:CA+-p3AEEhEBDcB_y3nVoBhYGXjZYPQOk_HpAhU3FoOn9TGEv6Q@mail.gmail.com"
      type="cite">
      <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
      <div dir="ltr">Hi Xiangrui,
        <div><br>
        </div>
        <div>That link is currently returning a 503 Over Quota error
          message.  Would you mind pinging back out when the page is
          back up?</div>
        <div><br>
        </div>
        <div>Thanks!</div>
        <div>Andrew</div>
      </div>
      <div class="gmail_extra"><br>
        <div class="gmail_quote">On Mon, Dec 22, 2014 at 12:37 PM,
          Xiangrui Meng <span dir="ltr">&lt;<a moz-do-not-send="true"
              href="mailto:mengxr@gmail.com" target="_blank">mengxr@gmail.com</a>&gt;</span>
          wrote:<br>
          <blockquote class="gmail_quote" style="margin:0 0 0
            .8ex;border-left:1px #ccc solid;padding-left:1ex">Dear Spark
            users and developers,<br>
            <br>
            I’m happy to announce Spark Packages (<a
              moz-do-not-send="true" href="http://spark-packages.org"
              target="_blank">http://spark-packages.org</a>), a<br>
            community package index to track the growing number of open
            source<br>
            packages and libraries that work with Apache Spark. Spark
            Packages<br>
            makes it easy for users to find, discuss, rate, and install
            packages<br>
            for any version of Spark, and makes it easy for developers
            to<br>
            contribute packages.<br>
            <br>
            Spark Packages will feature integrations with various data
            sources,<br>
            management tools, higher level domain-specific libraries,
            machine<br>
            learning algorithms, code samples, and other Spark content.
            Thanks to<br>
            the package authors, the initial listing of packages
            includes<br>
            scientific computing libraries, a job execution server, a
            connector<br>
            for importing Avro data, tools for launching Spark on Google
            Compute<br>
            Engine, and many others.<br>
            <br>
            I’d like to invite you to contribute and use Spark Packages
            and<br>
            provide feedback! As a disclaimer: Spark Packages is a
            community index<br>
            maintained by Databricks and (by design) will include
            packages outside<br>
            of the ASF Spark project. We are excited to help showcase
            and support<br>
            all of the great work going on in the broader Spark
            community!<br>
            <br>
            Cheers,<br>
            Xiangrui<br>
            <br>
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        </div>
        <br>
      </div>
    </blockquote>
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