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Bitmap indices are a specialized type of index designed for easy querying on multiple keys, although each bitmap index is built on a single key For bitmap indices to be used, records in a relation must be numbered sequentially, starting from, say, 0 Given a number n, it must be easy to retrieve the record numbered n This is particularly easy to achieve if records are xed in size, and allocated on consecutive blocks of a le The record number can then be translated easily into a block number and a number that identi es the record within the block Consider a relation r, with an attribute A that can take on only one of a small number (for example, 2 to 20) values For instance, a relation customer-info may have an attribute gender, which can take only values m (male) or f (female) Another example would be an attribute income-level, where income has been broken up into 5 levels: L1: $0 9999, L2: $10, 000 19, 999, L3: 20, 000 39, 999, L4: 40, 000 74, 999, and L5: 75, 000 Here, the raw data can take on many values, but a data analyst has split the values into a small number of ranges to simplify analysis of the data

For the application parameter, the following applications are currently supported: dns, ftp, h323, http, im, and sip The match-all parameter specifies that all the match commands must be matched on in order to classify the traffic and associate a policy to it; the match-any parameter specifies that only one match command has to be matched on to associate a policy to the traffic; if you omit it, the parameter defaults to match-any Once you create the inspection class map, you are taken into a subcommand mode Some of the match commands are the same between different application types, but many of them are different These commands will be discussed with the applications in the remaining chapters in Part III Just to give you an idea what an inspection class map looks like, here s an example for web traffic:

A bitmap is simply an array of bits In its simplest form, a bitmap index on the attribute A of relation r consists of one bitmap for each value that A can take Each bitmap has as many bits as the number of records in the relation The ith bit of the bitmap for value vj is set to 1 if the record numbered i has the value vj for attribute A All other bits of the bitmap are set to 0 In our example, there is one bitmap for the value m and one for f The ith bit of the bitmap for m is set to 1 if the gender value of the record numbered i is m All other bits of the bitmap for m are set to 0 Similarly, the bitmap for f has the value 1 for bits corresponding to records with the value f for the gender attribute; all other bits have the value 0 Figure 1233 shows an example of bitmap indices on a relation customer-info We now consider when bitmaps are useful The simplest way of retrieving all records with value m (or value f) would be to simply read all records of the relation and select those records with value m (or f, respectively) The bitmap index doesn t really help to speed up such a selection

ciscoasa(config)# class-map type inspect http match-any examine-put-and-post ciscoasa(config-cmap)# match request method put ciscoasa(config-cmap)# match request method post

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In this example, if the user s web browser sends a put or post command (notice the match-any parameter for the class map), then this would qualify as a match

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Like other linked techniques, a multiplier requires two or more measures (see Figure 5-28) A multiplier provides greater pay discrimination than a hurdle The payout impact of the multiplier varies