By Matthew Norman
Crucial SQL quickly offers a complete consultant to SQL, utilizing the Windows-based model of MySQL. MySQL is a freely on hand, multi-platform database administration approach, making it perfect for studying the thoughts and ideas of database layout. utilizing a number of labored examples and illustrations, Matthew Norman describes the way to organize the database administration method MySQL. In doing so he covers a number of issues, together with: fitting and trying out MySQL; utilizing the graphical instruments; database layout concepts and ideas; retrieving, altering and deleting info; and the way to make different items converse with MySQL.
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Extra resources for Database Design Manual: using MySQL for Windows (Springer Professional Computing)
2. INSERT – All Columns An alternative form of the INSERT statement misses out the column name list as follows: INSERT INTO tablename VALUES (value, value, …); In this case you must specify a value for each of the columns in the table in the VALUES section, in the order which you originally created the table. You have less control over the inserting of data using this method, and it can have problems associated with it. For example, if you have a column that is auto-generating (AUTO_INCREMENT) to provide your row with a unique primary key, inserting a number over this may well cause the table to have a duplicate primary key, which is not allowed.
Variable length types also can produce the need to perform maintenance on the table periodically. If you make lots of changes to a table with variable length rows, over time the table will become fragmented due to entries and space becoming de-allocated and reallocated. MySQL provides some commands to remedy this which you can read about in Chapter 13 on Optimizing MySQL. You should consider these issues when choosing the datatypes for your columns. Storing Text CHAR and VARCHAR are great for storing strings like people’s names and addresses, but they have the limit that the string can be a maximum length of 255 characters.
3 shows some examples of numbers that have been stored using the FLOAT(5, 2) declaration. 141 59 and the smaller numbers accurately, with only the number of decimal places being rounded where speciﬁed. 3 Single precision floats datatype ranges. 00 speciﬁed, the decimal places have just been set to zero, and the less signiﬁcant part of the numbers stored is not the same as the number that was entered. The idea behind this sort of datatype is that when handling very large numbers, the magnitude of the number is more important than the ﬁne details of the number.