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This chapter explored the important topic of MySQL performance optimization, discussing some of the techniques and options available to help you squeeze a little more speed out of your MySQL installation Various strategies for query optimization were covered, including: Using indexes to speed up access to frequently used fields Using the MySQL query cache to improve query response time Analyzing queries with the EXPLAIN SELECT command to understand and then improve the query plan Rewriting subqueries as joins to take advantage of MySQL s optimization algorithms Using server variables, aggregate functions, and sorting to make multitable queries more efficient Selecting an isolation level appropriate to your needs Avoiding deadlocks by keeping the internal flow of database transactions consistent Using session variables for transient data within stored routines Creating data subsets with the INSERTSELECT command and one or more temporary tables to simplify the processing of complex queries Choosing field sizes appropriately, and removing unnecessary tables from your database design Tuning the server s cache and memory buffers to obtain better performance Benchmarking server performance with the MySQL Benchmark Suite to evaluate the results of your changes Query optimization is almost a science unto itself, and impossible to cover in the limited space available in this chapter However, these techniques (as well as the additional following links) are essential reading for the efficient operation of your database, and they should be part of every administrator s tool box Here are some links for further reading: An overview of optimization issues, at http://devmysqlcom/doc/refman/51/ en/optimize-overviewhtml Extensive information, tips, and techniques to speed up your MySQL queries and make them run more efficiently, at http://devmysqlcom/doc/refman/51/ en/query-speedhtml Information on optimizing server performance, at http://devmysqlcom/doc/ refman/51/en/optimizing-the-serverhtml The MySQL Benchmark Suite, at http://devmysqlcom/doc/refman/51/en/ mysql-benchmarkshtml The MySQL Performance blog, at http://wwwmysqlperformanceblogcom

ChaPter 10 Performing Basic Server Administration ChaPter 11 Managing Users and Controlling Access ChaPter 12 Performing Maintenance, Backup, and Recovery ChaPter 13 Replicating Data aPPendIx a Installing MySQL and the Sample Database

over MIDP information MIDP 20 requires the match Otherwise, the JAD could claim the application has different metadata than it actually does Other security vulnerabilities related to JAD file parsing have also been reported For example, Ollie Whitehouse from Symantec discovered that embedding character return characters in a JAD can cause some phones to display incorrect information on the installation screen

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The second point of pipelining idealism assumes that the same computation is to be performed repeatedly by the pipeline For most instruction pipelines, this idealized assumption of repetition of identical computations does not hold While the instruction pipeline repeatedly processes instructions, there are different types of instructions involved Although the instruction cycle is repeated over and over, repetitions of the instruction cycle may involve the processing of different instruction types Different instruction types have different resource requirements and may not require the exact same sequence of subcomputations The instruction pipeline must be able to support the different requirements and must provide a superset of all the subcomputations needed by all the instruction types Each instruction type may not require all the pipeline stages in the instruction pipeline For each instruction type, the unnecessary pipeline stages become a form of inefficiency or overhead for that instruction type; such inefficiency or overhead has been referred to as external fragmentation of the pipeline in Section 2132 The goal for unifying instruction types, the key challenge resulting from the second point of pipelining idealism, is to minimize the external fragmentations for all the instruction types 2221 Classification of Instruction Types To perform a computation, a computer must do three generic tasks: 1 Arithmetic operation 2 Data movement 3 Instruction sequencing

Part II:

Devices uses code signatures to verify the integrity and origin of applications and then use this information to decide how much to trust a given application Standard Java applications also use signatures for this purpose, but the signature is embedded in the JAR file JME signatures are attached to the JAD, and the rules are slightly different: Every application can only have one signer, and any changes to the JAR file invalidate the application s signature Two attributes are used to express JAD signatures: MIDlet-Certificate-X-Y and MIDlet-Jar-RSA-SHA1 The MIDlet-Certificate attribute describes the certificate chain X is the chain number, and Y is the certificate s position in the chain A value of 1 for Y denotes the leaf certificate The MIDlet-Jar-RSA-SHA1 is an RSA-encrypted SHA-1 hash of the JAR file and will be verified against the certificate described in the JAD and the device s certificate store Both entries are Base-64 encoded Here are sample JAD signature nodes:

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