a few left over document change

docs/spark-standalone.md

@@ -20,7 +20,7 @@ then modify `conf/spark-env.sh` in the `dist/` directory before deploying to all
 
 You can start a standalone master server by executing:
 
-    ./bin/start-master.sh
+    ./sbin/start-master.sh
 
 Once started, the master will print out a `spark://HOST:PORT` URL for itself, which you can use to connect workers to it,
 or pass as the "master" argument to `SparkContext`. You can also find this URL on

ec2/spark_ec2.py

@@ -436,7 +436,7 @@ def setup_cluster(conn, master_nodes, slave_nodes, opts, deploy_ssh_key):
 def setup_standalone_cluster(master, slave_nodes, opts):
   slave_ips = '\n'.join([i.public_dns_name for i in slave_nodes])
   ssh(master, opts, "echo \"%s\" > spark/conf/slaves" % (slave_ips))
-  ssh(master, opts, "/root/spark/bin/start-all.sh")
+  ssh(master, opts, "/root/spark/sbin/start-all.sh")
 
 def setup_spark_cluster(master, opts):
   ssh(master, opts, "chmod u+x spark-ec2/setup.sh")

make-distribution.sh

@@ -31,9 +31,9 @@
 #
 # Recommended deploy/testing procedure (standalone mode):
 # 1) Rsync / deploy the dist/ dir to one host
-# 2) cd to deploy dir; ./bin/start-master.sh
+# 2) cd to deploy dir; ./sbin/start-master.sh
 # 3) Verify master is up by visiting web page, ie http://master-ip:8080.  Note the spark:// URL.
-# 4) ./bin/start-slave.sh 1 <<spark:// URL>>
+# 4) ./sbin/start-slave.sh 1 <<spark:// URL>>
 # 5) MASTER="spark://my-master-ip:7077" ./bin/spark-shell
 #