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In order to be able to understand what is really happening, we need to eliminate the noise and concentrate in the URLs that are significant The significant URLs occur when: Q An order is created - URL 3 -1 An item is added to the order - there are 3 choices, the troops select URL 5 -J The order is updated, prices are calculated per item, etc - URL 7 a The order is committed to the database and the inventory is updated - URL 8
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Using the results from the runs with fiO users the following chart is built:
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Starting with the servlets, we can see diat the response time is very similar for the 4 operations chosen These are performed by the Oracle stored procedures Using the stateless session beans these operations are significantly more expensive Every one of these operations requires the instantiation of a bean plus access to the database using JTA As discussed earlier, in this case the transaction isolation level is defined to be serializable, the most restricting ol al! It was later brought to the attention of the Troops that the way in which Oracle implements this isolation level is not very solid In this case using an isolation level of read committed shouid be enough This should substantially improve the response times of this set of tests
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Using the stateful bean the add item and update order operations are comparatively faster because they happen in memory, but the actual delivery operation has to access the database to update both the order master and order detail tables As it all happens in one single transaction this operation takes about the same time as the one in the stateless-only test The test using entity beans is more or less the same as when they are not used, until we get to the delivery operation Here you can really appreciate the price you have to pay for using this infrastructure Even if the entity beans are optimized by using the is-modified deployment parameter improving the response time by about 25%, this is still takes about double the time The controversy that arose in 5 seems to be resolved Using entity beans implies a performance hit of about 50% The question is if you are willing to pay that price for the benefits that they offer Some people will not, accept it while others will Yet others will use entity beans and improve the performance by using brute force with more powerful computers The final conclusion is that in this particular pizza, case, using the stateful session bean model is very attractive It scales pretty decently considering that it is running on a Pentium HI machine with 256MB of memory and a heap of 128MB Even though the response time is higher than the servlet model, the problems occurring when coordinating transactions and catching rollbacks would have been very tricky to program in the servlet model
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Testing JMS Point to Point
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This set of tests will deal with the application developed on 7 to send a pizza, order from the central location to the outlet This is a good opportunity to learn how to use the Grinder with a Java method to create the load instead of the HTTP test scripts
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The basic idea is to write a method that replicates the functionality of what is going to be load tested The easiest way to do this is just to copy and paste the actual method of the application and instrument it This becomes a class that is called by the Grinder for execution, and this class can call the other classes that make up the original system For this set of tests two plugins will be created, one that will act as the producer of messages simulating the Pizza2Go central location, and another to consume the pizza orders, thus simulating the outlet The following is a fragment of the plug-in PTPSndBmk that sends JMS Point to Point messages: /**
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* This class is a Grinder plug-in for sending Point-to-Point * JMS messages * This plug-in is specific for testing application from * chapter 7 of the book */ public class PTPSndBmk implements comejbgrindergrinderGrinderPlugin { public void init(GrinderContext gc) { SystemoutprintIn("calling init");
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