For example, a stock inventory application that provides information about item, size, color, and pattern might have a structure like this:

^Stock(item,size,color,pattern) = quantity

Here’s some sample data:

^Stock(“slip dress”,4,”blue”,”floral”) = 3

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The advantage of bit map indexes is that complex queries can be processed by performing Boolean operations (AND, OR) on the indexes – efficiently determining exactly which instances (rows) fit the query conditions, without searching through the entire database. For complex queries, bit-map indexes can boost response times by more than a factor of 100.

From Wikipedia: Bitmap indexes have traditionally been considered to work well for data such as Boolean values, which have a modest number of distinct values – in this case, boolean True and False – but many occurrences of those values. This would happen if, for example, you had data on whether or not each resident in a city has internet access.

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First some basic information about the Caché JDBC URL:

Driver Class = com.intersys.jdbc.CacheDriver

The URL syntax is

jdbc:Cache://machine:port/namespace

The URL specifies the machine address, port number, and namespace to be accessed.
machine IP address or host name. For example, both localhost and 127.0.0.1 indicate the local machine.
port TCP/IP port number for the connection. For example, 56772 is the standard Caché superserver port.
namespace Namespace to connect to. For example, Samples is the namespace containing Caché sample programs.

For example

jdbc:Cache://127.0.0.1:56772/Samples

Caché driver versions

If you have more information or found a mistake in the JDBC table, please mail to: andreas.

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