Java

This is a simple example that shows how to receive notifications about data becoming available using a Query Condition. QueryConditions use the same SQL-based filtering syntax as ContentFilteredTopics for query expressions, parameters, etc. Unlike ContentFilteredTopics, QueryConditions are applied to data already received, so they do not affect the reception of data.
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A Content Filtered Topic is a Topic with filtering properties. It makes it possible to subscribe to topics and at the same time specify that you are only interested in a subset of the Topic's data. This example explains how to use the built-in StringMatch filter that can be used with ContentFilteredTopics.
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This example illustrates how to use coherency QoS to force writes to be grouped on the receiving side. Suppose the reader is tracking the state of an object with many fields. If changes to fields occur relatively infrequently, it is inefficient to send the entire state on every update. Instead, we send an ID for the object, an ID for the field to be updated, and the new value.
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Batching can be used to decrease the amount of communication overhead associated with the transmission and acknowledgement of small samples, in order to increase throughput. In this example we explain how to use the batching QoS setting as well as "Turbo Mode", an experimental feature that adjusts automatically the number of bytes in a batch.
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This example illustrates the three different approaches RTI Connext DDS implements to store data persistently. That is, Durable Write History, Durable Reader State, and Persistence Service.
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Unlike Content Filter Topics, Custom Content Filters allow the use of non-relational operations between topic members, i.e. a computation involving topic members. In this example we create a Custom Content Filter takes an expression "%0 %1 x", where %0 is an integer, %1 is "divides" or "greater-than", and the "x" is the field we are comparing in the sample. The filter lets samples through if the parameter[0] divides or is greater than x, respectively.
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A FlowController is the object responsible for shaping the network traffic by determining when attached asynchronous DataWriters are allowed to write data. This example shows how to create a custom flow controllers to manage an asynchronous publisher.
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Usually DataReaders receive data in the order that it was sent by a DataWriter. In addition, data is presented to the DataReader as soon as the application receives the next value expected. In this example we illustrate how to control the scope of the order in which samples are presented to the subscribing application.
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The Multichannel QoS policy is used to partition the data published by a DataWriter across multiple channels. This example shows how to use multichannel DataWriters.
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This example shows how to publish and subscribe Shapes using the Dynamic Data API. In particular, we create a publisher and a subscriber application that operate on the "Square" through Dynamic Data calls.
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