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author | Matei Zaharia <matei@eecs.berkeley.edu> | 2012-09-25 23:26:56 -0700 |
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committer | Matei Zaharia <matei@eecs.berkeley.edu> | 2012-09-25 23:26:56 -0700 |
commit | f1246cc7c18bd0c155f920f4dc593e88147a94e4 (patch) | |
tree | 7dd8f81eab5261f6f2e707b3b668b9a9cc7bdc50 /docs/index.md | |
parent | 051785c7e67b7ba0f2f0b5e078753d3f4f380961 (diff) | |
download | spark-f1246cc7c18bd0c155f920f4dc593e88147a94e4.tar.gz spark-f1246cc7c18bd0c155f920f4dc593e88147a94e4.tar.bz2 spark-f1246cc7c18bd0c155f920f4dc593e88147a94e4.zip |
Various enhancements to the programming guide and HTML/CSS
Diffstat (limited to 'docs/index.md')
-rw-r--r-- | docs/index.md | 8 |
1 files changed, 6 insertions, 2 deletions
diff --git a/docs/index.md b/docs/index.md index 154ad42d49..cdc96200a8 100644 --- a/docs/index.md +++ b/docs/index.md @@ -7,7 +7,11 @@ title: Spark Overview TODO(andyk): Rewrite to make the Java API a first class part of the story. {% endcomment %} -Spark is a MapReduce-like cluster computing framework designed for low-latency iterative jobs and interactive use from an interpreter. It provides clean, language-integrated APIs in Scala and Java, with a rich array of parallel operators. Spark can run on top of the [Apache Mesos](http://incubator.apache.org/mesos/) cluster manager, Hadoop YARN, Amazon EC2, or without an independent resource manager ("standalone mode"). +Spark is a MapReduce-like cluster computing framework designed for low-latency iterative jobs and interactive use from an +interpreter. It provides clean, language-integrated APIs in Scala and Java, with a rich array of parallel operators. Spark can +run on top of the [Apache Mesos](http://incubator.apache.org/mesos/) cluster manager, +[Hadoop YARN](http://hadoop.apache.org/docs/r2.0.1-alpha/hadoop-yarn/hadoop-yarn-site/YARN.html), +Amazon EC2, or without an independent resource manager ("standalone mode"). # Downloading @@ -33,7 +37,7 @@ For example, `./run spark.examples.SparkPi` will run a sample program that estim examples prints usage help if no params are given. Note that all of the sample programs take a `<master>` parameter specifying the cluster URL -to connect to. This can be a [URL for a distributed cluster]({{HOME_PATH}}scala-programming-guide.html#master_urls), +to connect to. This can be a [URL for a distributed cluster]({{HOME_PATH}}scala-programming-guide.html#master-urls), or `local` to run locally with one thread, or `local[N]` to run locally with N threads. You should start by using `local` for testing. |