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Listing 10-27. Results of the DBXP EXPLAIN Test mysql> EXPLAIN SELECT DBXP * FROM customer; +--------------------------+ | Execution Path | +--------------------------+ | test.customer | | | | | | | | | | | V | | ------------------- | | | PROJECT | | | ------------------- | | | Access Method: | | | | iterator | | | ------------------- | | | | | | | | V | | Result Set | +--------------------------+ 15 rows in set (0.00 sec) mysql> This is much more interesting than a dull listing of facts. Adding the EXPLAIN command at this stage of the DBXP project allows you to witness and diagnose how the optimizer is forming the query tree. You ll find this very helpful when you begin your own experiments. If you haven t been doing so thus far, you should run the complete test that tests all three portions of the code presented in this chapter.



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NAnt was not designed as a robust platform for error handling. It does not have notions of such things as try-catch constructs, though it does have a basic idea of an On Error Goto construct, which may bring a tear to the eye of any VB 6 using reader. NAnt has two properties (which we discussed briefly in 2) that can be used to perform actions upon either a successful or failed execution of the build script. These properties are called nant.onsuccess and nant.onfailure, respectively. In terms of error handling, the property we are interested in is nant.onfailure. This property is set as follows: <property name="nant.onfailure" value="dosomething"/> The value dosomething must be a target of the same name in the current script, or the build script will not execute. Effectively, using this setting means that if the build script fails during execution, the target dosomething will be called before the failure is reported and





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Table 4-3. (Continued)

Summary

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execution stops. This gives you the opportunity to perform some corrective action or other similar activity, such as a mail task to notify someone of the error. You should be aware of some specific points about this property. Consider the following script: < xml version="1.0" encoding="utf-8" > <project name="ErrorHandlingExample" default="DoomedToFail"> <target name="DoomedToFail"> <property name="nant.onfailure" value="GiveUp"/> <fail message="This target is not going to work"/> </target> <target name="GiveUp"> <echo message="I give up, I really do."/> <call target="CleanUp1"/> <call target="CleanUp2"/> </target> <target name="CleanUp1"> <echo message="Doing CleanUp1..."/> <property name="nant.onfailure" value="CleanUp2"/> <fail/> </target> <target name="CleanUp2"> <echo message="Doing CleanUp2..."/> </target> </project> The target DoomedToFail makes use of the onfailure property to target GiveUp to perform corrective action. Immediately afterwards we call the <fail> task to throw a BuildException, which will cause the GiveUp target to be called. The GiveUp target is then used to call two corrective targets, CleanUp1 and CleanUp2. This is a legal use of the onfailure target. However, in CleanUp1 we then use the onfailure target again to target CleanUp2 (which will be called anyway by the GiveUp target). Then we cause CleanUp1 to fail. The CleanUp2 target is never called, though. This is because subsequent to the first failure, no other failure can be accounted for and execution halts immediately. It is not possible to chain error handling in any way. Therefore, it is important that the corrective steps that you require will not fail themselves, or otherwise the error handling is fairly pointless. The output of running the script is as follows: ---------- NAnt ---------NAnt 0.85 Copyright (C) 2001-2004 Gerry Shaw http://nant.sourceforge.net

I presented in this chapter some of the more complex database internal technologies. You learned how queries are represented internally within the MySQL server as they are parsed and processed via the big switch. More importantly, you discovered how MySQL can be used to conduct your own database internals experiments with the query tree class. The knowledge of these technologies should provide you with a greater understanding of why and how the MySQL internal components are built. In the next chapter, I ll show you more about internal query representation through an example implementation of a query tree optimization strategy. If you ve ever wondered what it takes to build an optimizer for a relational database system, the next chapter will show you an example of a heuristic query optimizer using the query tree class.

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