Use AMPLab direct link in FAQ
Project: http://git-wip-us.apache.org/repos/asf/spark-website/repo Commit: http://git-wip-us.apache.org/repos/asf/spark-website/commit/04d5ce05 Tree: http://git-wip-us.apache.org/repos/asf/spark-website/tree/04d5ce05 Diff: http://git-wip-us.apache.org/repos/asf/spark-website/diff/04d5ce05 Branch: refs/heads/remove_ec2 Commit: 04d5ce05125b4c2de50dd74765a1ca0c64e72752 Parents: 74622a5 Author: Dongjoon Hyun <dongj...@apache.org> Authored: Sun Jul 9 04:00:40 2017 -0700 Committer: Dongjoon Hyun <dongj...@apache.org> Committed: Sun Jul 9 04:00:40 2017 -0700 ---------------------------------------------------------------------- faq.md | 2 +- site/docs/2.1.1/ec2-scripts.html | 161 ---------------------------------- site/faq.html | 2 +- 3 files changed, 2 insertions(+), 163 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark-website/blob/04d5ce05/faq.md ---------------------------------------------------------------------- diff --git a/faq.md b/faq.md index c41de64..f1974c7 100644 --- a/faq.md +++ b/faq.md @@ -26,7 +26,7 @@ Spark is a fast and general processing engine compatible with Hadoop data. It ca <p class="answer">No. Spark's operators spill data to disk if it does not fit in memory, allowing it to run well on any sized data. Likewise, cached datasets that do not fit in memory are either spilled to disk or recomputed on the fly when needed, as determined by the RDD's <a href="{{site.baseurl}}/docs/latest/scala-programming-guide.html#rdd-persistence">storage level</a>. <p class="question">How can I run Spark on a cluster?</p> -<p class="answer">You can use either the <a href="{{site.baseurl}}/docs/latest/spark-standalone.html">standalone deploy mode</a>, which only needs Java to be installed on each node, or the <a href="{{site.baseurl}}/docs/latest/running-on-mesos.html">Mesos</a> and <a href="{{site.baseurl}}/docs/latest/running-on-yarn.html">YARN</a> cluster managers. If you'd like to run on Amazon EC2, Spark provides <a href="{{site.baseurl}}/docs/latest/ec2-scripts.html">EC2 scripts</a> to automatically launch a cluster.</p> +<p class="answer">You can use either the <a href="{{site.baseurl}}/docs/latest/spark-standalone.html">standalone deploy mode</a>, which only needs Java to be installed on each node, or the <a href="{{site.baseurl}}/docs/latest/running-on-mesos.html">Mesos</a> and <a href="{{site.baseurl}}/docs/latest/running-on-yarn.html">YARN</a> cluster managers. If you'd like to run on Amazon EC2, AMPLab provides <a href="https://github.com/amplab/spark-ec2#readme";>EC2 scripts</a> to automatically launch a cluster.</p> <p>Note that you can also run Spark locally (possibly on multiple cores) without any special setup by just passing <code>local[N]</code> as the master URL, where <code>N</code> is the number of parallel threads you want.</p> http://git-wip-us.apache.org/repos/asf/spark-website/blob/04d5ce05/site/docs/2.1.1/ec2-scripts.html ---------------------------------------------------------------------- diff --git a/site/docs/2.1.1/ec2-scripts.html b/site/docs/2.1.1/ec2-scripts.html deleted file mode 100644 index 320317f..0000000 --- a/site/docs/2.1.1/ec2-scripts.html +++ /dev/null @@ -1,161 +0,0 @@ - -<!DOCTYPE html> -<!--[if lt IE 7]> <html class="no-js lt-ie9 lt-ie8 lt-ie7"> <![endif]--> -<!--[if IE 7]> <html class="no-js lt-ie9 lt-ie8"> <![endif]--> -<!--[if IE 8]> <html class="no-js lt-ie9"> <![endif]--> -<!--[if gt IE 8]><!--> <html class="no-js"> <!--<![endif]--> - <head> - <meta charset="utf-8"> - <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"> - <title>Running Spark on EC2 - Spark 2.1.1 Documentation</title> - - - - <meta http-equiv="refresh" content="0; 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- </script> - <script> - // Note that we load MathJax this way to work with local file (file://), HTTP and HTTPS. - // We could use "//cdn.mathjax...", but that won't support "file://". - (function(d, script) { - script = d.createElement('script'); - script.type = 'text/javascript'; - script.async = true; - script.onload = function(){ - MathJax.Hub.Config({ - tex2jax: { - inlineMath: [ ["$", "$"], ["\\\\(","\\\\)"] ], - displayMath: [ ["$$","$$"], ["\\[", "\\]"] ], - processEscapes: true, - skipTags: ['script', 'noscript', 'style', 'textarea', 'pre'] - } - }); - }; - script.src = ('https:' == document.location.protocol ? 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Likewise, cached datasets that do not fit in memory are either spilled to disk or recomputed on the fly when needed, as determined by the RDD's <a href="/docs/latest/scala-programming-guide.html#rdd-persistence">storage level</a>. <p class="question">How can I run Spark on a cluster?</p> -<p class="answer">You can use either the <a href="/docs/latest/spark-standalone.html">standalone deploy mode</a>, which only needs Java to be installed on each node, or the <a href="/docs/latest/running-on-mesos.html">Mesos</a> and <a href="/docs/latest/running-on-yarn.html">YARN</a> cluster managers. If you'd like to run on Amazon EC2, Spark provides <a href="/docs/latest/ec2-scripts.html">EC2 scripts</a> to automatically launch a cluster.</p> +<p class="answer">You can use either the <a href="/docs/latest/spark-standalone.html">standalone deploy mode</a>, which only needs Java to be installed on each node, or the <a href="/docs/latest/running-on-mesos.html">Mesos</a> and <a href="/docs/latest/running-on-yarn.html">YARN</a> cluster managers. If you'd like to run on Amazon EC2, AMPLab provides <a href="https://github.com/amplab/spark-ec2#readme";>EC2 scripts</a> to automatically launch a cluster.</p> <p>Note that you can also run Spark locally (possibly on multiple cores) without any special setup by just passing <code>local[N]</code> as the master URL, where <code>N</code> is the number of parallel threads you want.</p> --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org
