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CHAPTER 9 DATABASE SYSTEM INTERNALS
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Caution If you use binary, query, or slow query logs, you must also specify an alternative location for the
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log files for each instance of the MySQL server. Failure to do so may result in corruption of your log files and/ or data.
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Perhaps the most challenging aspect of using MySQL for experimentation is modifying the parser to recognize the new keyword for the SQL commands (see 8). Although not precisely a complex or new implementation language, modification of the YACC files requires careful attention to the original developers intent. The solution involves placing copies of the SQL syntax definitions for the new commands at the top of each of the parser command definitions. This permits you to intercept the flow of the parser in order to redirect the query execution. The most frequent and least trivial challenge of all is keeping up with the constant changes to the MySQL code base. Unfortunately, the frequency of upgrades is unpredictable. If you want to keep up to date with feature changes, the integration of the experimental technologies requires reinserting the modifications to the MySQL source files with each release of the source code. This is probably not a concern for anyone wanting to experiment with MySQL. If you find yourself wanting to keep up with the changes due to extensions you are writing, you should probably consider building a second server for experimentation and do your development on the original server.
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Tip The challenge that you are most likely to encounter is examining the MySQL code base and discovering the
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meaning, layout, and use of the various internal data representations. The only way to overcome this is through familiarity. I encourage you to visit and read the documentation (MySQL reference and system internals manuals) and articles on the MySQL web site, blogs, and message forums. They are a wealth of information. While some are difficult to absorb the concepts presented become clearer with each reading. Resist the temptation to become frustrated with the documentation. Give it a rest, then go back later and read it again. I find nuggets of useful information every time I (re)read the technical material.
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The Database System Internals Experiment
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I built the database experiment project (DBXP) to allow you to explore the MySQL internals and to let you explore some alternative database system internal implementations. You can use this experiment to learn more about how database systems are constructed and how they work under the hood.
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Why an Experiment
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The DBXP is an experiment rather than a solution because it is incomplete. That is, the technologies are implemented with minimal error handling, a limited feature set, and low robustness.
CHAPTER 9 DATABASE SYSTEM INTERNALS
This doesn t mean the DBXP technologies can t be modified for use as replacements for the MySQL system internals; rather, the DBXP is designed for exploration rather than production.
Overview of the Experiment Project
The DBXP project is a series of classes that implement alternative algorithms and mechanisms for internal query representation, query optimization, query execution, and file access. This not only gives you an opportunity to explore an advanced implementation of query optimization theory, but also enables the core of the DBXP technology to execute without modification of the MySQL internal operation. This provides the additional security that the native MySQL core executable code will not be affected by the addition of the DBXP technologies. This added benefit can help mitigate some of the risks of modifying an existing system. The implementation of the MySQL parser (see sql_parse.cc) directs control to specific instances of the execution subprocesses by making calls to functions implemented for each SQL command. For example, the SHOW command is redirected to functions implemented in the sql_show.cc file. The MySQL parser code in sql_parse.cc needs to be modified to redirect processing to the DBXP query processor. The first step in the DBXP query processor is to convert the MySQL internal query representation to the experimental internal representation. The internal representation chosen is called a query tree, where each node contains an atomic relational operation (select, project, join, etc.) and the links represent data flow. Figure 9-2 shows a conceptual example of a query tree. In the example, I use notation as follows; project/select ( ), restrict ( ), and join ( ). The arrows represent how data would flow from the tables up to the root. A join operation is represented as a node with two children. As data is presented from each child, the join operation is able to process that data and pass the results to the next node up in the tree (its parent). Each node can have zero, one, or two children and has exactly one parent.
Figure 9-2. Query tree concept The query tree was chosen because it permits the DBXP query optimizer to use tree manipulation algorithms. That is, optimization uses the tree structure and tree manipulation algorithms to arrange nodes in the tree in a more efficient execution order. Furthermore, execution of the optimized query is accomplished by traversing the tree to the leaf nodes, performing the operation
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