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authorPrashant Sharma <prashant.s@imaginea.com>2014-01-03 15:08:01 +0530
committerPrashant Sharma <prashant.s@imaginea.com>2014-01-03 15:08:01 +0530
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@@ -28,7 +28,7 @@ the master's web UI, which is [http://localhost:8080](http://localhost:8080) by
Similarly, you can start one or more workers and connect them to the master via:
- ./sbin/spark-class org.apache.spark.deploy.worker.Worker spark://IP:PORT
+ ./bin/spark-class org.apache.spark.deploy.worker.Worker spark://IP:PORT
Once you have started a worker, look at the master's web UI ([http://localhost:8080](http://localhost:8080) by default).
You should see the new node listed there, along with its number of CPUs and memory (minus one gigabyte left for the OS).