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author | Ankur Dave <ankurdave@apache.org> | 2014-05-31 03:21:26 +0000 |
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committer | Ankur Dave <ankurdave@apache.org> | 2014-05-31 03:21:26 +0000 |
commit | 43588164336771f787d0d2cdf79f0d50ac828af4 (patch) | |
tree | 0152873c704f691ccbb0040a498ab4481ce5ddd5 /releases/_posts | |
parent | e7d788ef5ba171f29174701e6e71b1dbd8b0bd5a (diff) | |
download | spark-website-43588164336771f787d0d2cdf79f0d50ac828af4.tar.gz spark-website-43588164336771f787d0d2cdf79f0d50ac828af4.tar.bz2 spark-website-43588164336771f787d0d2cdf79f0d50ac828af4.zip |
Add a GraphX page at /graphx/
Diffstat (limited to 'releases/_posts')
-rw-r--r-- | releases/_posts/2014-02-02-spark-release-0-9-0.md | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/releases/_posts/2014-02-02-spark-release-0-9-0.md b/releases/_posts/2014-02-02-spark-release-0-9-0.md index 77bef581c..edcce3a27 100644 --- a/releases/_posts/2014-02-02-spark-release-0-9-0.md +++ b/releases/_posts/2014-02-02-spark-release-0-9-0.md @@ -11,12 +11,12 @@ meta: _wpas_done_all: '1' --- -Spark 0.9.0 is a major release that adds significant new features. It updates Spark to Scala 2.10, simplifies high availability, and updates numerous components of the project. This release includes a first version of [GraphX](http://amplab.github.io/graphx/), a powerful new framework for graph processing that comes with a library of standard algorithms. In addition, [Spark Streaming]({{site.url}}streaming/) is now out of alpha, and includes significant optimizations and simplified high availability deployment. +Spark 0.9.0 is a major release that adds significant new features. It updates Spark to Scala 2.10, simplifies high availability, and updates numerous components of the project. This release includes a first version of [GraphX]({{site.url}}graphx/), a powerful new framework for graph processing that comes with a library of standard algorithms. In addition, [Spark Streaming]({{site.url}}streaming/) is now out of alpha, and includes significant optimizations and simplified high availability deployment. -You can download Spark 0.9.0 as either a +You can download Spark 0.9.0 as either a <a href="http://d3kbcqa49mib13.cloudfront.net/spark-0.9.0-incubating.tgz" onClick="trackOutboundLink(this, 'Release Download Links', 'cloudfront_spark-0.9.0-incubating.tgz'); return false;">source package</a> -(5 MB tgz) or a prebuilt package for -<a href="http://d3kbcqa49mib13.cloudfront.net/spark-0.9.0-incubating-bin-hadoop1.tgz" onClick="trackOutboundLink(this, 'Release Download Links', 'cloudfront_spark-0.9.0-incubating-bin-hadoop1.tgz'); return false;">Hadoop 1 / CDH3</a>, +(5 MB tgz) or a prebuilt package for +<a href="http://d3kbcqa49mib13.cloudfront.net/spark-0.9.0-incubating-bin-hadoop1.tgz" onClick="trackOutboundLink(this, 'Release Download Links', 'cloudfront_spark-0.9.0-incubating-bin-hadoop1.tgz'); return false;">Hadoop 1 / CDH3</a>, <a href="http://d3kbcqa49mib13.cloudfront.net/spark-0.9.0-incubating-bin-cdh4.tgz" onClick="trackOutboundLink(this, 'Release Download Links', 'cloudfront_spark-0.9.0-incubating-bin-cdh4.tgz'); return false;">CDH4</a>, or <a href="http://d3kbcqa49mib13.cloudfront.net/spark-0.9.0-incubating-bin-hadoop2.tgz" onClick="trackOutboundLink(this, 'Release Download Links', 'cloudfront_spark-0.9.0-incubating-bin-hadoop2.tgz'); return false;">Hadoop 2 / CDH5 / HDP2</a> (160 MB tgz). Release signatures and checksums are available at the official [Apache download site](http://www.apache.org/dist/incubator/spark/spark-0.9.0-incubating/). @@ -45,7 +45,7 @@ Spark Streaming is now out of alpha, and comes with simplified high availability ### GraphX Alpha -[GraphX](http://amplab.github.io/graphx/) is a new framework for graph processing that uses recent advances in graph-parallel computation. It lets you build a graph within a Spark program using the standard Spark operators, then process it with new graph operators that are optimized for distributed computation. It includes [basic transformations]({{site.url}}docs/0.9.0/api/graphx/index.html#org.apache.spark.graphx.Graph), a [Pregel API]({{site.url}}docs/0.9.0/api/graphx/index.html#org.apache.spark.graphx.Pregel$) for iterative computation, and a standard library of [graph loaders]({{site.url}}docs/0.9.0/api/graphx/index.html#org.apache.spark.graphx.util.GraphGenerators$) and [analytics algorithms]({{site.url}}docs/0.9.0/api/graphx/index.html#org.apache.spark.graphx.lib.package). By offering these features *within* the Spark engine, GraphX can significantly speed up processing pipelines compared to workflows that use different engines. +[GraphX]({{site.url}}graphx/) is a new framework for graph processing that uses recent advances in graph-parallel computation. It lets you build a graph within a Spark program using the standard Spark operators, then process it with new graph operators that are optimized for distributed computation. It includes [basic transformations]({{site.url}}docs/0.9.0/api/graphx/index.html#org.apache.spark.graphx.Graph), a [Pregel API]({{site.url}}docs/0.9.0/api/graphx/index.html#org.apache.spark.graphx.Pregel$) for iterative computation, and a standard library of [graph loaders]({{site.url}}docs/0.9.0/api/graphx/index.html#org.apache.spark.graphx.util.GraphGenerators$) and [analytics algorithms]({{site.url}}docs/0.9.0/api/graphx/index.html#org.apache.spark.graphx.lib.package). By offering these features *within* the Spark engine, GraphX can significantly speed up processing pipelines compared to workflows that use different engines. GraphX features in this release include: |