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The first task is to update the hostname for the server to match the one you are using. The workspace will run continuously, processing each incoming message, until stopped manually. Incoming data will be processed with an offset in its coordinates, and then sent back. The workspace will listen for information coming through the WebSockets channel. Notice that it contains two WebSocket transformers – one for receiving and one for sending. In FME Workbench open the starting workspace Exercise4e-Begin.fmw The method shown here is suitable for high frequency messaging in excess of 1 message per second. This exercise uses FME Server’s WebSockets service and WebSockets transformers to power a Web Map application. Otherwise messages won’t get committed as they arrive.”Ĭ:\FMEData2015\Workspaces\ServerAuthoring\Exercise4e-‐Begin.fmwĬ:\FMEData2015\Workspaces\ServerAuthoring\Exercise4e-‐Begin-‐Advanced.fmw “Writing to a database requires that the transaction interval is set For example, perhaps each incoming message represents a point feature (a lightning strike) that needs to be recorded in a database. For example perhaps the message represents a point feature (maybe a vehicle location) that is used to filter database data (maybe traffic conditions) against.ĭata written to the database is usually to record a stream of message information.
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The Database components in this diagram are optional, but probably usual.ĭata read from the database is intended to be used to process the incoming message. Again it will not terminate until the workspace is deliberately stopped.Ī Message Streaming architecture that both receives and sends messages looks like this:Ī stream of messages is read into the workspace via one of the available transformers, for example the JMSReceiver.ĭata is processed by any of the available FME transformers, according to the needs of the setup.Ī stream of messages is sent out of the workspace via one of the available transformers, for example the TCPIPSender. Sender transformers will send a message in response to an incoming feature, but will then return to wait for more features. Even if no messages are instantly available, it will not terminate. Receiver transformers will emit a feature in response to an incoming message, but will then return to waiting for more messages. A workspace is set up to run continuously and the transformers within it listen for, and dispatch, messages on a number of different protocols.Ī workspace containing any of the Message Streaming transformers will run continuously because the transformer itself is designed to run continuously.
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However, rather than use the Notification service with Readers and Writers, Message Streams are handled by a number of transformers. Like Notifications, Message Streams can be either into or out of FME, or both: When used in this way we call it High Capacity Message Streaming, as thousands of messages can be processed every second.
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However, a message stream uses a workspace that is constantly running, and doesn’t need to be started for each message, and so can process data at a much faster rate. Message Streaming is a real-time technique that involves a continuous flow of information.įor our purposes, “continuous” means messages arrive at the FME Server at a faster rate than the notification service could handle say more than one message per second.Īt rates faster than this the notification service does not have time to start and run a workspace to process each message. Whereas Notifications are one-off messages, Message Streaming involves a continuous flow of information