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authorReynold Xin <rxin@databricks.com>2016-01-09 20:28:20 -0800
committerReynold Xin <rxin@databricks.com>2016-01-09 20:28:20 -0800
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[SPARK-12735] Consolidate & move spark-ec2 to AMPLab managed repository.
Author: Reynold Xin <rxin@databricks.com> Closes #10673 from rxin/SPARK-12735.
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@@ -64,7 +64,7 @@ To run Spark interactively in a R interpreter, use `bin/sparkR`:
./bin/sparkR --master local[2]
Example applications are also provided in R. For example,
-
+
./bin/spark-submit examples/src/main/r/dataframe.R
# Launching on a Cluster
@@ -73,7 +73,6 @@ The Spark [cluster mode overview](cluster-overview.html) explains the key concep
Spark can run both by itself, or over several existing cluster managers. It currently provides several
options for deployment:
-* [Amazon EC2](ec2-scripts.html): our EC2 scripts let you launch a cluster in about 5 minutes
* [Standalone Deploy Mode](spark-standalone.html): simplest way to deploy Spark on a private cluster
* [Apache Mesos](running-on-mesos.html)
* [Hadoop YARN](running-on-yarn.html)
@@ -103,7 +102,7 @@ options for deployment:
* [Cluster Overview](cluster-overview.html): overview of concepts and components when running on a cluster
* [Submitting Applications](submitting-applications.html): packaging and deploying applications
* Deployment modes:
- * [Amazon EC2](ec2-scripts.html): scripts that let you launch a cluster on EC2 in about 5 minutes
+ * [Amazon EC2](https://github.com/amplab/spark-ec2): scripts that let you launch a cluster on EC2 in about 5 minutes
* [Standalone Deploy Mode](spark-standalone.html): launch a standalone cluster quickly without a third-party cluster manager
* [Mesos](running-on-mesos.html): deploy a private cluster using
[Apache Mesos](http://mesos.apache.org)