SQL Performance Tuning by Peter Gulutzan, Trudy Pelzer

By Peter Gulutzan, Trudy Pelzer

A poorly acting database program can expense each one consumer time, and feature an impression on different functions working at the related computing device or an identical community. This publication might help DBA's and programmers enhance the functionality in their databases. it isn't an advent to SQL, neither is it a tuning handbook for a selected SQL implementation. it's a consultant for clients and programmers who are looking to enhance SQL functionality it doesn't matter what model of SQL they use. it's going to supply tuning information for universal events, comparable to tips to switch a question so it is going to move quicker and the way to shift paintings from the server to the customer. all of the principles were confirmed opposed to the 8 prime DBMS functions. just about all huge agencies and firms at the present time run multiple form of database. this is often the single booklet to hide database tuning for them.

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Another way to preorder is to add a rough key column to the table. Rough keys are analogous to sort keys except that rough keys are defined as a single integer that contains only some primary-sort information for the first few characters of a column. Parting Shots The fastest sorts are the ones that do the least. If you can tolerate wrong answers, you can get higher throughput. That's a general maxim, which we'll be repeating in other contexts (for example, see Chapter 15, "Locks"). You can compensate for deficiencies that your DBMS may have and it is sometimes possible to use the side effects of other clauses to ease ORDER BY's job.

Some DBMSs sort NULL high. Some DBMSs sort NULL low. Some DBMSs sort NULL at the end of a list. Since there's no standard way of sorting NULL; don't write code that depends on the DBMS putting all the NULLs in a specific place. The use of expressions in ORDER BY is not 100% portable. ) can help speed or clarity. column1 is clustered or otherwise preordered. SELECT column1 FROM Table1 WHERE column1 > -32768 returns a result set in order by column1 if column1 is indexed and the DBMS makes use of the index.

There is an answer if you've read this chapter so far. • • • • Search condition #1 is the worst. Although there is no CAST, it depends on an implicit DECIMAL-to-INTEGER data conversion (because modulus operations work on integers). There is also an implicit divide operation. Search condition #2 is in the middle. Some DBMSs store DECIMAL values as character strings, so the data conversion isn't hard. Nevertheless, LIKE is slow when the pattern starts with a wildcard. Search condition #3 is the best (GAIN: 7/7).

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SQL Performance Tuning by Peter Gulutzan, Trudy Pelzer
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