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Building a Distributed Logger with Distribunaut
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So now that you have a good understanding of how Distribunaut works, and what it does under the covers, let s try to create a distributed logger and see how it goes To create our distributed logger, we want to create a RemoteLogger class Here s what that would look like:
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require 'rubygems' require 'distribunaut' require 'logger'
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Building a Distributed Logger with Distribunaut
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configatrondistribunautapp_name = :remote_logger LOGGER = ::Loggernew(STDOUT) class RemoteLogger include Distribunaut::Distributable class << self def new LOGGER end [:debug, :info, :warn, :error, :fatal]each do |meth| define_method(meth) do |*args| LOGGERsend(meth, *args) end end end end DRbthreadjoin
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Although this looks a lot more intimidating than our HelloWorld class, it really isn t The extra code comes from making it a bit easier to access the underlying Ruby Logger class we want to wrap We could have just harnessed the incredible power of Ruby and opened up the Logger class and included the Distribunaut::Distributable module directly into it, but that is generally not considered good practice Besides, this way lets us talk about a few things we couldn t talk about otherwise Let s look at it in a bit more depth; you ll see it isn t that complex After we require the correct classes and define our application name (this time we are calling it :remote_logger), we create a constant called LOGGER to act as a holder for our Logger instance We want only one instance of the Logger class That is why we assign it to the global constant so that we can access it throughout the rest of our code After we have included the Distribunaut::Distributable module into our RemoteLogger class, we then add a few methods for convenience The first of these methods is a class-level override of the new method We do this so that when our
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clients try to create a new instance of the RemoteLogger class, they are actually getting the wrapped Logger class instead Next we generate the five standard logging methods on Logger, putting them at the class level of the RemoteLogger class These methods simply proxy the methods onto the single instance of our Logger class that we have stored in our LOGGER constant We do this so that our clients can call these methods at the class level of RemoteLogger without having to create a new instance of it This is easier to demonstrate in the client code With all of that out of the way, let s see what our client code would look like:
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require 'rubygems' require 'distribunaut' logger = Distribunaut::Distributed::RemoteLoggernew loggerdebug("Hello, World!") Distribunaut::Distributed::RemoteLoggererror("oops!")
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In this client we first create a new instance of the RemoteLogger class I put instance in quotes for a reason Remember that we don t actually get a new instance of the RemoteLogger class Instead, we simply get back a reference to the global instance of the Logger class we set up earlier As soon as we have the RemoteLogger, we can call the standard logging methods, such as debug We should see our message printed to the server s screen, not the client s After we call the debug method, we call the class method error on the RemoteLogger class and pass it the message oops! If we were to run all of this, we would get the following:
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Hello, World! oops!
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As you can see, creating a new distributed logger with Distribunaut is actually quite easy We could have simplified the code by not giving class-level convenience methods for the common logging methods But it was only a few more lines of code, and it could make the end user s life a little easier
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Avoiding Confusion of Services
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Earlier, when speaking about application names, I mentioned that names need to be unique to avoid confusion, but I didn t explain what I meant You know from 2, Rinda, that when we create a Tuple to put into the RingServer, we give it some unique characteristics that allow us to retrieve it easily The combination of these characteristics becomes sort of like an ID for that particular Tuple So imagine if we were to put two Tuples into the RingServer that had the same characteristics How would we retrieve the specific one we want If we use the same application name, we not only run the risk of overwriting another Tuple, but we also make it difficult to find later As you have seen, Distribunaut performs a lot of magic that keeps us from having to write as much code It also makes the code we write cleaner and easier to use and maintain One thing Distribunaut does for you is build the search characteristics for you when you make a call to the special Distribunaut::Distributed module When Distribunaut goes to build the search parameters for that request, it takes into account only the class, or service, name you provide Because of this, if you have two applications serving up a class with the same name, you are unsure which one you will receive from the query In some cases this might be fine, but in other cases, it might be a problem Let s look at a simple example Let s create a service that serves up a User class We want to launch at least two instances of this service for this example To do that we need to run the following code twice to start two instances of it:
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require 'rubygems' require 'distribunaut' user_servers = ['0'] services = Distribunaut::Utils::Rindaavailable_services serviceseach do |service| if serviceapp_nameto_smatch(/^user_server_(\d+)$/) user_servers << "#{$1}" end end
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user_serverssort! app_name = "user_server_#{user_serverslastsucc}" puts "Launching: #{app_name}" configatrondistribunautapp_name = app_name class User include Distribunaut::Distributable def app_server_name configatrondistribunautapp_name end end DRbthreadjoin
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