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SkyNet, http://skynetrubyforgeorg/, is an implementation of MapReduce written by Adam Pisoni It offers more features, customization, and tighter integration with Rails than Starfish does However, it does this at the expense of a difficult setup and difficult-to-understand workflow I have heard good things about it, but I can t speak to it directly because I had a tremendously difficult time getting it up and running MRToolkit, http://codegooglecom/p/mrtoolkit/, appeared on the scene shortly after I had completed the first draft of this book, so unfortunately I wasn t able to properly write about it The project came out, of all places, The New York Times Company The documentation suggests a fairly simple and well-thought-out API for creating MapReduce jobs MRToolkit sits atop the Apache Hadoop project, http://hadoopapacheorg/, which it uses to do most of the heavy lifting Although installing and running Hadoop can be a little cumbersome, it is a widely used and battle-tested platform, which means that MRToolkit is definitely a framework worth checking out



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_inTrace = true;

If the servlet implements the SingleThreadModel interface, which controls serialization of the service method, the servlet can be shown with the interface to highlight this aspect Optionally, the servlet can be tagged with { Single ThreadServlet=True} instead to clearly identify this on the diagram in a somewhat more co mpact format

_primaryStreamWrite(buffer, offset, idx); // write trace portion to other stream (log) _otherStreamWrite(buffer, idx+offset, count - idx);





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To help demonstrate how to create MapReduce jobs with Starfish and ActiveRecord, let s build an application that will process click logs we have stored in our database These logs get created when a user clicks a link on our site We create an entry in the database representing each click We then need to do some processing on each of these clicks The problem we run into is that it can take up to 10 seconds to process each click log, and it can be very CPU-intensive to do so Because of that, we want to create a MapReduce that will distribute that workload across a lot of different computers Although getting Starfish to create a mapping of ActiveRecord objects is fairly straightforward, we need to do a bit of prep work to get our examples set up so that they ll run Let s do that now so that we can get to the good stuff

Figure 10- 6

public ] [ Team LiBoverride int ReadByte() { int b = _primaryStreamReadByte(); _otherStreamPosition = _primaryStreamPosition; return(b); } public override void WriteByte( byte b ) { if (this_inTrace) _otherStreamWriteByte(b); else _primaryStreamWriteByte(b); }

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The HttpServlet class is modeled similarly to GenericServlet, but with the <<Http_Servlet>> stereotype applied It can also include the life cycle methods, the convenience method, and any of the HTTP request handlers previously discussed

int bufIdx = offset; int ret = -1;

First, let s create our ClickLog model in a file called click_logrb:

The SingleThreadModel details as well as the tagged value for SingleThreadServlet apply in the HttpServlet class exactly the same way as they did for GenericServlet As stated earlier, you should not attempt to serialize any of the servlet methods other than by implementing this interface This interface does not introduce any new methods

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Other aspects of servlets that warrant modeling are servlet forward, servlet include, ServletContext, and Servlet Session Management The following sections discuss these aspects in more detail

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class ClickLog < ActiveRecord::Base def process loggerinfo("Processing #{selfurl}") time = Benchmarkrealtime do sleep(rand(10)) selfprocessed = true selfsave! end loggerinfo("Processed #{selfurl} in (#{time}) seconds") end end

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