The first time you sign in to developerWorks, a profile is created for you, so you need to choose a display name. You can also use the dashboard to launch the Streaming Analytics console, which shows information about your Streaming Analytics instance. Maximize the Streams Graph pane in the upper right of the console to show the flow graph of the Streams application.
The declaration of the operator defines the pattern that you're trying to detect by using regular-expression syntax with a set of predicates that are also defined in the operator declaration. The first operator in the preceding snippet converts a tuple in a stream into a JSON string. Specify your business object modelThe business object model (BOM) is the model upon which rules are authored. Add and download dependenciesLet's start by adding the required Node.js modules to the dependencies.
Your display name must be unique in the developerWorks community and should not be your email address for privacy reasons.


Deploy your app and view it Now you'll deploy the starter application as-is, without any code changes, and then explore the UI. To see nonzero tuple rates in the graph, restart your Bluemix app and switch over to the graph immediately. If a job is running, cancel it.Deploy a Streams Application Bundle to the Streaming Analytics service by using the Streaming Analytics REST API. A .sab file is a Streams Application Bundle, which is the product of the compilation of a Streams application in a Streams development environment. The operator looks for the M-shape of the temperature at a weather station based upon the set of values that have been reported by that weather station. This operator consumes a stream called OutputEvents defined earlier in the SPL code and produces a stream called JSONOutput. To obtain your own copy, click the Get the code button on this page (at the end of the What you'll need to build your application section) and either clone the Git repository or fork the code to your own Bluemix DevOps Services project.
You'll see nonzero tuple rates for at least a few minutes as the Streams application processes the initial data burst.


You can hover over the operators in the graph or the connections between them to get more-detailed information.
Wait for your app to finish staging.Return to the Dashboard and click the application name.
This code appears near the start of the app.js file and not in the sequence of steps, because it's called asynchronously whenever an event is sent from the Streams application. On the application overview page, click the ADD A SERVICE OR API button.Click the Streaming Analytics service in the catalog's Data and Analytics category and click CREATE to bind it to your application.
The Streams application performs an HTTP POST to the Node.js app to send an event to the app.



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