Data Storage

The storage structures in the database are:

Сортировка и структурирование данных: Большинство собранных

Database storage structures Database tables and indices are usually stored on a hard drive in one of the many forms, numbered / unnumbered Flat-Fails, ISAM, Pupils, Hash baskets or B+ trees. They have different advantages and disadvantages discussed in this section. B+ trees and ISAM are the most commonly used.

Arbitrary storage

Arbitrary storage - usually stored records in the order in which they were placed. While the efficiency of the bidding is good, it may appear that the extraction time would be ineffective, but this is usually never very important, as most databases use primary key indexes, resulting in or for the same keys as database lines shifted in the system file storage databases, resulting in more efficient searches.

Continuous storage

Consistent Storage - usually stored in order, and it may have to change or increase the size of the file if a new record is added, it's very inefficient. But it's better to look, because the records are pre-disposed than they can't brag.

Kuchi

Simple and most basic method Effectively adding new records. The records are added at the end of the file - 'chronological' order. Inefficient search as search should be linear Removal - to remove marked records, periodic reorganization is required if the file is very volatile Benefits good for loading large data volumes It fits when extraction attracts most of the records. Insufficient Sorting may cause difficulties Not suitable for ‘time’ tables

Hash baskets

fast access Maintains the exact range The problem of the Film Files is being addressed effectively because dynamic indices are expanding and compressed when the table grows and decreases.