Download Database Tuning: Principles, Experiments, and by Dennis Shasha, Philippe Bonnet PDF
By Dennis Shasha, Philippe Bonnet
Tuning your database for optimum functionality skill greater than following a number of brief steps in a vendor-specific consultant. for max development, you would like a wide and deep wisdom of simple tuning rules, the facility to assemble information in a scientific method, and the ability to make your method run quicker. this can be an paintings in addition to a technological know-how, and Database Tuning: ideas, Experiments, and Troubleshooting innovations may also help you improve moveable abilities that would let you track a large choice of database platforms on a large number of and working structures. extra, those talents, mixed with the scripts supplied for validating effects, are precisely what you must overview competing database items and to settle on the suitable one. * ahead by means of Jim grey, with invited chapters by means of Joe Celko and Alberto Lerner* contains commercial contributions by way of invoice McKenna (RedBrick/Informix), Hany Saleeb (Oracle), Tim Shetler (TimesTen), Judy Smith (Deutsche Bank), and Ron Yorita (IBM)* Covers the complete process setting: undefined, working procedure, transactions, indexes, queries, desk layout, and alertness research* comprises experiments (scripts on hand at the author's web site) that can assist you ascertain a system's effectiveness on your personal setting* offers targeted subject matters, together with information warehousing, internet aid, major reminiscence databases, really expert databases, and fiscal time sequence* Describes performance-monitoring thoughts to help you realize and troubleshoot difficulties
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2. Will the transactions that are concurrent with T be made inconsistent if T is broken up? That's what would happen if the balance transaction ran concurrently with the finest granularity of update transactions, that is, where each depositorbranch update transaction was divided into two transactions, one for the depositor and one for the branch balance. Here is a rule of thumb that often helps when chopping transactions (it is a special case of the method to be presented in Appendix B): Suppose transaction T accesses data X and Y, but any other transaction T ' accesses at most one a f X or Y and nothing else.
There are three reasons to ask for table locks. First, table locks can be used to avoid blocking long transactions. 11 illustrate the interaction of a long transaction (a summation query) with multiple short transactions (debit/credit transfers). Second, they can be used to avoid deadlocks. Finally, they reduce locking overhead in the case that there is no concurrency. SQL Server 7 and DB2 UDB VT. 1 provide a lock escalation mechanism that automatically upgrades row-level locks into a single table-level lock when the number of row-level locks reaches a predefined threshold.
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.