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When we fire up our client, we should see that it starts to process the entries in our click_logs table:
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Processing /user/1-124900987214215 Processed /user/1-124900987214215 in (402453994750977) Processing /user/2-124900987215377 Processed /user/2-124900987215377 in (300500011444092) Processing /user/3-124900987217103 Processed /user/3-124900987217103 in (200500202178955) Processing /user/4-124900987217533 Processed /user/4-124900987217533 in (500495600700378)
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I recommend that you start more instances of the client and see what happens You ll see that the clients all start to get records to process You ll also notice that none of the clients get the same record to process That is because the server keeps track of who is processing what record It makes sure not to hand out that record again, but rather to hand out the next record in the queue
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ActiveRecord isn t the only input that Starfish can uses as a data source for your MapReduce programs Starfish also reads through a file and delivers each line to each client, just like it did with each entry in the database when we were using ActiveRecord To start, let s create a simple file called file_bootstraprb that we can use to populate a file filled with click logs we want to process:
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Fileopen('clickslog', 'w') do |f| 100times do |i| fputs("/user/#{i+1}-#{Timenowto_f}") end end
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This creates a new file called clickslog and fills it with 100 URLs for us to process Let s see what our server looks like for processing files compared to the server we used to dish out records in our database:
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ARGVunshift('serverrb') require 'rubygems' require 'starfish' Starfishserver = lambda { |map_reduce| map_reducetype = File map_reduceinput = "clickslog" map_reducequeue_size = 10 map_reducelines_per_client = 5 map_reducerescan_when_complete = false } Starfishnew('click_log_server')server
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As you can see, we tell Starfish that the type of object we will serve up is a File We then set the input to the clickslog file we just created As with our ActiveRecord implementation, we want to fill the queue with only ten entries at a time In this case that means it will read the file ten lines at a time The next two configurations are unique to working with files The first setting, lines_per_client, allows us to define how many lines of the file we want to send to the client at a time Here we have set it to 5 This means that the client will be delivered an Array containing the five lines of the log file it has to process The last setting, rescan_when_complete, tells Starfish whether it should go back to the beginning of the file and start over Although this might be useful on a few occasions, it is not helpful to us In our example, if we had set this to true, it would just go back to the beginning of the file and start serving up each line again, causing us to forever be in a loop To prevent an infinite loop, we will set it to false for now As you will see in the following client, we are not removing the lines from the file, but rather just processing them Here s what our client looks like:
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ARGVunshift('clientrb') require 'rubygems'
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require 'starfish' require 'benchmark' Starfishclient = lambda do |logs| logseach do |click_log| click_logstrip! puts "Processing #{click_log}" time = Benchmarkrealtime do sleep(rand(10)) end puts "Processed #{click_log} in (#{time}) seconds" end end Starfishnew('click_log_server')client
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As you can see, we are given an Array containing lines from the file that needs to be processed We loop through each of these lines and process them If we were to run both the server and the client, we would see the client successfully processing the records it is given:
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Processing /user/56-124901170370557 Processed /user/56-124901170370557 in (300025391578674) seconds Processing /user/57-124901170370559 Processed /user/57-124901170370559 in (500029587745667) seconds Processing /user/58-12490117037056 Processed /user/58-12490117037056 in (300025296211243) seconds Processing /user/59-124901170370562 Processed /user/59-124901170370562 in (400030207633972) seconds Processing /user/60-124901170370563 Processed /user/60-124901170370563 in (200020003318787) seconds
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This is all there is to working with files and Starfish As you can imagine, this can prove to be very useful when dealing with extremely large access or error logs that need processing
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