From 6adc7c965f35ede8fb09452e278b2f17981ff600 Mon Sep 17 00:00:00 2001
From: Matei Zaharia <matei@eecs.berkeley.edu>
Date: Fri, 16 Nov 2012 20:48:35 -0800
Subject: [PATCH] Doc fix
---
docs/running-on-mesos.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/docs/running-on-mesos.md b/docs/running-on-mesos.md
index 97564d7426..f4a3eb667c 100644
--- a/docs/running-on-mesos.md
+++ b/docs/running-on-mesos.md
@@ -15,7 +15,7 @@ Spark can run on private clusters managed by the [Apache Mesos](http://incubator
6. Copy Spark and Mesos to the _same_ paths on all the nodes in the cluster (or, for Mesos, `make install` on every node).
7. Configure Mesos for deployment:
* On your master node, edit `<prefix>/var/mesos/deploy/masters` to list your master and `<prefix>/var/mesos/deploy/slaves` to list the slaves, where `<prefix>` is the prefix where you installed Mesos (`/usr/local` by default).
- * On all nodes, edit `<prefix>/var/mesos/deploy/mesos.conf` and add the line `master=HOST:5050`, where HOST is your master node.
+ * On all nodes, edit `<prefix>/var/mesos/conf/mesos.conf` and add the line `master=HOST:5050`, where HOST is your master node.
* Run `<prefix>/sbin/mesos-start-cluster.sh` on your master to start Mesos. If all goes well, you should see Mesos's web UI on port 8080 of the master machine.
* See Mesos's README file for more information on deploying it.
8. To run a Spark job against the cluster, when you create your `SparkContext`, pass the string `mesos://HOST:5050` as the first parameter, where `HOST` is the machine running your Mesos master. In addition, pass the location of Spark on your nodes as the third parameter, and a list of JAR files containing your JAR's code as the fourth (these will automatically get copied to the workers). For example:
--
GitLab