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Beyond this example there s not a lot to say. Obviously, whole books have been written on runtime performance analysis, and I encourage you to explore the literature if you re interested in some of the deeper processes. Now that we have explored the main ideas and methods employed in gauging script performance, it s time to discuss how best to use that knowledge to speed things up.

If the traders in the previous example (see Table 2-5) submit their orders, the market will match the orders as follows: 1. Nicholas s buy order at market price will match Jason s sell order. This will result in the first trade, and both the orders will be removed from the order book. 2. Kumar s order of 300 buy will get matched to Doe s order of 600 sell. Interestingly, this order will get matched at $20.10 even though Doe wanted to sell at $20. Exchange systems are designed to protect the interests of both buyers and sellers. Since there was a passive order from Kumar willing to buy at $20.10 and Doe s order comes in later asking only for $20, she will still get $20.10. Since Kumar s order is completely filled, it will be removed completely from the order book. However, Doe s order of 600 is only half-filled. So, 300 shares of Doe will remain in the order book. 3. In the next step, Anthony s buy order of 300 shares will get fully filled by Doe s balance of 300 at $20, and both orders will be removed from the order book. 4. Now Nicola wants to buy 200 at $20, but Jeff will sell only at $20.20. There is no agreement in price; hence, there will be no further matching, and the matching system will wait either for one of the parties to adjust the price or for a new order at a price where either a buy or a sell can be matched. Table 2-6 shows the trade book for trades resulting from these orders. Table 2-6. Trade Book

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But, by using the @Begin(join=true) annotation on the editGadget() action listener method, we also ensured that the creation of a new gadget will establish a new explicit conversation Well, if a user searches for a set of gadgets and starts editing one of them by clicking the Edit button on its row of the table, what s keeping him or her from using the back button on the browser to go back to the list and start editing another gadget If the user does this, the editGadget() action listener will be called again, and the @Begin(join=true) annotation will cause the edit session to occur within the same overall conversation The selected gadget will be set to the new gadget, and the user will drop back into the editGadgetjsp page with the new gadget active.

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Kernighan and Ritchie s general advice on optimization was one word: don t. Having seen what optimization can do to the readability of a chunk of C, I completely sympathize with this sentiment. However, we are discussing Ruby and so must recognize a fundamental difference. Ruby s high-level, ultraportable nature means that we don t (normally) have access to many of the raw operations that C programmers agonize over. Is one memory-copying strategy better than another Do I need to maintain a pointer reference to avoid dereferencing lookup instructions Should this integer be unsigned 16-bit or signed 32-bit Such questions are way too low-level to start with. As always, the gathered data is the key. Attempting to optimize blindfolded may impress the circus-skills crowd, but it just makes unnecessary work. Profile your code and work out what is genuinely slowing things down. Once you have concluded empirically where the bottlenecks reside, there are a number of different optimization approaches to be tried. In general, I find the following order of work most useful: 1. Check the algorithms (what a fair chunk of computer science is about). 2. Check the expressions (ensuring that the language is being used properly). 3. Check the implicit operations (being mindful of side effects like memory allocation). 4. Kick down into C (showing that you still have 133+ h4x0r skills). I m going to provide a brief section on each of these approaches with examples. It is important to remember that optimization is a very script-specific process and the following sections describe only the most general rules of thumb. I will also say that the line between steps 2 and 3 is at best a little blurry.

500 300 300

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