MySQL 8.0 and SQL Server using Python 3.7 and PHP 7.3 by MIttal Narendra Mohan

Author:MIttal, Narendra Mohan [MIttal, Narendra Mohan]
Language: eng
Format: mobi
Published: 2019-03-24T16:00:00+00:00

There are probably as many different hash algorithms as there are databases, all with the goal of producing a rather even distribution. Because even the most complex hash algorithm rarely requires more than a knowledge of simple arithmetic, even the less mathematically eloquent can get into the game.

When hashing works, it is great. When it doesn’t work, then things get complicated and efficiency degrades. Take the example of storing the record “Smith” in a 26-page database. The DBMS looks at the key “Smith,” says it should be stored on database page 19, goes to page 19, and discovers that the page is full. What does the DBMS do now? Systems that use hashing have sometimes elaborate schemes for expanding pages or storing information in overflow areas. Whatever overflow technique is employed, the speed expected from hashing is compromised. Every time “Smith” is accessed, the DBMS will go to the wrong page and, not finding “Smith,” start searching other locations.

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