By Dennis Shasha, Philippe Bonnet
Tuning your database for optimum functionality potential greater than following a number of brief steps in a vendor-specific consultant. for optimum development, you wish a large and deep wisdom of simple tuning rules, the power to assemble facts in a scientific approach, and the ability to make your approach run quicker. this can be an artwork in addition to a technological know-how, and Database Tuning: rules, Experiments, and Troubleshooting concepts can assist you boost moveable abilities that may let you track a wide selection of database structures on a large number of and working platforms. additional, those talents, mixed with the scripts supplied for validating effects, are precisely what you must overview competing database items and to decide on the appropriate one. * ahead through Jim grey, with invited chapters by way of Joe Celko and Alberto Lerner* comprises commercial contributions via invoice McKenna (RedBrick/Informix), Hany Saleeb (Oracle), Tim Shetler (TimesTen), Judy Smith (Deutsche Bank), and Ron Yorita (IBM)* Covers the complete process surroundings: undefined, working process, transactions, indexes, queries, desk layout, and alertness research* includes experiments (scripts on hand at the author's website) that will help you be sure a system's effectiveness on your personal setting* offers certain subject matters, together with info warehousing, internet help, major reminiscence databases, really expert databases, and monetary time sequence* Describes performance-monitoring options to help you realize and troubleshoot difficulties
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Additional resources for Database Tuning: Principles, Experiments, and Troubleshooting Techniques
T2 will write 3 into y. No serial execution would do this. What this example (and many similar examples) reveals is that database systems will, in the name of performance, allow bad things to happen. It is up to application programmers and database administrators to choose these performance optimizations with these risks in mind. A default recommendation is to use snapshot isolation for read-only transactions, but to ensure that read operations hold locks for transactions that perform updates. , In some cases, the space for the saved data may be too small.
At busy times, many other customers and agents might be made to wait. To avoid this intolerable situation, airline reservation systems break up the act of booking a seat into two transactions and a nontransactional interlude. The first transaction reads the list of seats available. Then there is human interaction between the reservation agent and the customer. The second transaction secures a seat that was chosen by a customer. Because of concurrent activity, the customer may be told during step 2 that seat S is available and then be told after step 3 that seat S could not be secured.
That is, the execution of the transaction collection must be equivalent to one in which I ................... I . I . . . . I I. . . . . . . . . . 2 Example of concurrent concurrent with TI, T3, and ~. transactions. TI is concurrent with T2 and T3. 2 Lockingand Concurrency Control 13 the transactions execute one at a time. Two executions are equivalent if one is a rearrangement of the other; and in the rearrangement, each read returns the same value, and each write stores the same value as in the original.