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This WHERE clause is sufficiently broad that it will include every row in the table It would be much slower to search the index to find the rowids and then use the rowids to find the rows than to scan the whole table After all, it is the whole table that is needed Another example would be if the table were small enough that one disk read could scan it in its entirety; there would be no point in reading an index first It is often said that if the query is going to retrieve more than two to four percent of the rows, then a full table scan will be quicker A special case is if the value specified in the WHERE clause is NULL NULLs do not go into B*Tree indexes, so a query such as

Individual fields are then available as methods to the $grent object The supported methods are name, passwd, gid, and members This last item returns a reference to a list; the first three simply return scalars

select * from employees where last_name is null;

Appendix B:

will always result in a full table scan There is little value in creating a B*Tree index on a column with few unique values, as it will not be sufficiently selective: the proportion of the table that will be retrieved for each distinct key value will be too high In general, B*Tree indexes should be used if The cardinality (the number of distinct values) in the column is high, and The number of rows in the table is high, and The column is used in WHERE clauses or JOIN conditions

use User::pwent; $pwent = getpwnam('root');

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using System; class Test { public static void Main() { Console.WriteLine("{0:###.00;0;(###.00)}", -456.55); Console.WriteLine("{0:###.00;0;(###.00)}", 0); Console.WriteLine("{0:###.00;0;(###.00)}", 456.55); } } gives the following output: 457 (.00) 456.55

Once retrieved, individual fields of the password entry are available as methods to the newly created object For example,

In many business applications, the nature of the data and the queries is such that B*Tree indexes are not of much use Consider the table of sales for a chain of supermarkets, storing one year of historical data, which can be analyzed in several dimensions Figure 7-4 shows a simple entity-relationship diagram, with just four of the dimensions

print "User ID: ",$pwent->uid,"\n";

The cardinality of each dimension could be quite low Make these assumptions:

prints the uid of the root user The list of methods supported is name, passwd, uid, gid, quota, comment, gecos, dir, and shell

The utf8 pragma tells Perl to use the UTF-8 (Unicode) character set for internal string representation The pragma is block scoped For most installations, there are no differences between Unicode and normal ASCII representation, since the first 128 characters of the ASCII code are stored within a single byte For patterns that are greater than this value, or for multibyte characters, the differences are significant

SHOP PRODUCT DATE CHANNEL There are four shops There are two hundred products There are 365 days There are two channels (walk-in and delivery)

use utf8;

You can use the backslash (\) character to escape characters so they aren t interpreted as formatting characters. Because the backslash already has meaning within C# literals, it will be easier to specify the string using the verbatim literal syntax; otherwise, a double backslash (\\) is required to generate a single slash in the output string. You can specify a string of uninterpreted characters by enclosing them in single quotes; this may be more convenient than using the backslash character. This example: using System; class Test { public static void Main() { Console.WriteLine("{0:###\\#}", 255); Console.WriteLine(@"{0:###\#}", 255); Console.WriteLine("{0:###'#0%;'}", 1456); } } gives the following output: 255# 255# 1456#0%;

Assuming an even distribution of data, only two of the dimensions (PRODUCT and DATE) have a selectivity that is better than the commonly used criterion of 2 percent to 4 percent, which makes an index worthwhile But if queries use range predicates (such as counting sales in a month, or of a class of ten or more products), then not even these will qualify This is a simple fact: B*Tree indexes are often useless in a data warehouse environment A typical query might want to compare sales between two shops by walk-in customers of a certain class of product in a month There could well be B*Tree indexes on the relevant columns, but Oracle would ignore them as being insufficiently selective This is what bitmap indexes are designed for A bitmap index stores the rowids associated with each key value as a bitmap The bitmaps for the CHANNEL index might look like this:

Once switched on, you can switch off Unicode operation with no:

no utf8;

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