HOWTOs

This page contains a set of short informal recipes to help you solve common challenges you may face when using RTI Connext DDS. This recipes include topics such as configuring favorite IDE to work with our libraries, tuning the performance of your application, or configuring your firewall to let DDS traffic through.

You can contribute by commenting on existing HOWTOs or creating your own here (requires logging in).

This document explains how to create a simple adapter using the RTI Routing Service Adapter SDK. The adapter scans the file system in one specific folder and, for every file present in that folder, it creates a stream to communicate with the output. In the output, the adapter will take care of creating a file for every stream received.
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The Leap Motion controller is a USB powered motion sensor with an SDK and drivers for MacOS, Windows and Linux. The SDK gives API access to the data from the sensor, which includes Pointables (fingers or tools), Hand orientation and gesture recognition. Moving that available data to the cloud, for use by applications on- and off-board is easy, when using RTI Connext DDS as the conduit.
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In this HOWTO we show how to optimize the serialized size of your data type. Note that this a useful optimization if you have limited bandwidth, but is not necessary for the majority of systems.
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This document explains how DDS works with multiple NICs and the controls that users have.
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You can use Eclipse to debug a live Routing Service instance that is running a Java Adapter. This HOWTO describes what settings to use to allow the java debugger to attach to the RS runtime.
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The purpose of this document is to describe how to use Eclipse to develop C/C++ Connext DDS applications. We will create a simple DDS application using rtiddsgen, set up and Eclipse project to build the application, and finally run it within the IDE.
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This HOWTO describes the steps you need to follow to set up your machine to build DDS applications able to run on a Raspberry Pi. We will use a cross-compiler that can be run on a 32- or 64-bit Linux machine, but we will also provide some links with documentation to cross-compile from different platforms
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