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Example #5: Client and Server with parallel trace (involving thread pools)

In this example server-side implementation of the JAX-RS service is going to offload some work into thread pool and then return the response to the client, simulating parallel execution. The client-side code stays unchanged.

Code Block
java
java
@Produces( { MediaType.APPLICATION_JSON } )
@GET
public Collection<Book> getBooks(@Context final TracerContext tracer) throws Exception {
    final Future<Book> book1 = executor.submit(
        tracer.wrap("Getting Book 1", new Traceable<Book>() {
            public Book call(final TracerContext context) throws Exception {
                // Simulating a delay of 100ms required to call external system
                Thread.sleep(100);
                    
                return new Book("Apache CXF Web Service Development", 
                    "Naveen Balani, Rajeev Hathi");
            }
        })
    );
        
    final Future<Book> book2 = executor.submit(
        tracer.wrap("Getting Book 2", new Traceable<Book>() {
            public Book call(final TracerContext context) throws Exception {
                // Simulating a delay of 100ms required to call external system
                Thread.sleep(200);
                    
                return new Book("Developing Web Services with Apache CXF and Axis2", 
                    "Kent Ka Iok Tong");
            }
        })
    );
       
    return Arrays.asList(book1.get(), book2.get());
}

The actual invocation of the request by the client (with process name jaxrsclient/192.168.0.100) and consequent invocation of the service on the server side (process name jaxrsserver/192.168.0.100) is going to generate the following sample traces:

Image AddedTODO

Example #6: Client and Server with asynchronous JAX-RS service (server-side)

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