Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/830#discussion_r12877361
--- Diff: docs/streaming-programming-guide.md ---
@@ -355,21 +358,21 @@ object has to be created, which is the main entry
point of all Spark Streaming f
A `JavaStreamingContext` object can be created by using
{% highlight scala %}
-new JavaStreamingContext(master, appName, batchInterval, [sparkHome],
[jars])
+new JavaStreamingContext(master, appName, batchDuration, [sparkHome],
[jars])
{% endhighlight %}
</div>
</div>
The `master` parameter is a standard [Spark cluster
URL](scala-programming-guide.html#master-urls)
-and can be "local" for local testing. The `appName` is a name of your
program,
-which will be shown on your cluster's web UI. The `batchInterval` is the
size of the batches,
+and can be `local` for local testing. The `appName` is a name of your
program,
--- End diff --
I just realized that saying "local" is a bad idea because "local" ends up
having only one slot, which is bad for Spark Streaming (as receiver takes up
one core leaving none for computation). Can you replace this `local` with
`local[*]` (which detects the number of cores in the local system).
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