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Even though we can process multiple lines with multiple service threads, the communication between the main thread and the service threads is not very efficient If we were communicating between different processes, we might use a pipe, which buffers output from one process until the other can read it; the same idea works for threads, too, and takes the form of a queue Perl provides support for queues through the Thread::Queue module, which implements simple thread queues in a similar way to the semaphores created by Thread::Semaphore Rather than a single numeric flag, however, the queue consists of a list to which values may be added at one and removed from the other At heart this is essentially no more than a shift and pop operation.

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Using conditional variables and locking the module, however, creates a queue that values may be added to and removed from safely in a threaded environment, following rules similar to those for semaphores: Only one thread may add or remove values in the queue at a time Any thread may add values to a queue immediately Any thread may remove values from a queue immediately if there are enough values available in the queue If a thread attempts to remove more values than are available, it will block until another thread adds sufficient values to the queue The Thread::Queue module provides a constructor and four object methods to create and manage queues The new constructor creates a new queue: $queue = new Thread::Queue; Values can be added to the queue, singly or in bulk, with the enqueue method: $queue->enqueue($value); $queue->enqueue(@values); # add a single value # add several values.

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When should you use Model-Glue If you re familiar with CFCs and want to take a crack at an object-oriented framework, Model-Glue is definitely a bit easier for the newbie to get his or her head around than Mach-II. Model-Glue finds its strength in simplicity and a limited number of XML files that make it possible to see what the entire application is doing step-by-step without looking anywhere else.

A single value can be removed with dequeue. If no value is available, the method will block until one is available: $value = $queue->dequeue; # remove a single value, block

If we don t want to risk getting blocked, dequeue_nb removes a single value from a queue, if available, but returns undef immediately, without blocking, if nothing is available: $value = $queue->dequeue_nb; if (defined $value) { ... } # remove a single value, don't block

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Figure 8 4. Top command output for a moderately loaded MySQL server From the information just shown, we can see that the server is not particularly loaded. The load factors are only 0.62, 0.56, and 0.44, which is very low for the load on this machine. The machine is not swapping at all, and the CPU and memory usage for mysqld are 9 percent and 66 percent respectively, again very good. It is not taking up much CPU, and it s using a reasonable amount of the system memory. If the system had been using excessive CPU or memory (swapping), we would focus our attention on reducing the maximum memory footprint of MySQL to prevent the overflow. This particular server is fitted with 17.5GB of RAM. Now let s look at the I/O performance using the iostat tools. iostat should be installable from your distribution s software repositories, and should be available on all distributions. We will use it with the -d -c and -x options, which enable device, CPU, and extended stats. Figure 8 5 shows the output that is produced when running iostat against our example server.

Finally, to check the number of values in the queue without actually removing one, we have the following pending: print "There are ",$queue->pending," items in the queue\n";

Mach-II was originally created as an advanced version of Fusebox in 2003 and is currently at version 18 Like Model-Glue, Mach-II is an implicit invocation framework It provides some extended functionality beyond that of Model-Glue, such as programmatic access to its event queue, plug-in points, and filters that are used to alter the instructions to be executed as a request is processed This adds up to a potentially more powerful framework But at first blush, Mach-II is more complex and harder to understand than the alternatives and, consequently, may be harder to implement according to best practices The core components of a Mach-II application are listeners, filters, and the event, and you tie these CFC-based objects together using a rich XML syntax.

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