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Bitmap indexes: Normally in a B*Tree, there is a one-to-one relationship between an index entry and a row: an index entry points to a row. With bitmap indexes, a single index entry uses a bitmap to point to many rows simultaneously. They are appropriate for highly repetitive data (data with few distinct values relative to the total number of rows in the table) that is mostly read-only. Consider a column that takes on three possible values Y, N, and NULL in a table of 1 million rows. This might be a good candidate for a bitmap index if, for example, you need to frequently count how many rows have a value of Y. That is not to say that a bitmap index on a column with 1,000 distinct values in that same table would not be valid it certainly can be. Bitmap indexes should never be considered in an OLTP database for concurrency-related issues (which we ll discuss in due course). Note that bitmap indexes require the Enterprise or Personal Edition of Oracle.

Bitmap join indexes: These provide a means of denormalizing data in an index structure, instead of in a table For example, consider the simple EMP and DEPT tables Someone might ask the question, How many people work in departments located in the city of Boston EMP has a foreign key to DEPT, and in order to count the employees in departments with a LOC value of Boston, we would normally have to join the tables to get the LOC column joined to the EMP records to answer this question Using a bitmap join index, we can instead index the LOC column against the EMP table The same caveat in regard to OLTP systems applies to a bitmap join index as a regular bitmap index Function-based indexes: These are B*Tree or bitmap indexes that store the computed result of a function on a row s column(s), not the column data itself.

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You can consider them an index on a virtual (or derived) column in other words, a column that is not physically stored in the table These may be used to speed up queries of the form SELECT * FROM T WHERE FUNCTION(DATABASE_COLUMN) = SOME_VALUE, since the value FUNCTION(DATABASE_COLUMN) has already been computed and stored in the index Application domain indexes: These are indexes you build and store yourself, either in Oracle or perhaps even outside of Oracle You tell the optimizer how selective your index is and how costly it is to execute, and the optimizer will decide whether or not to use your index based on that information The Oracle text index is an example of an application domain index; it is built using the same tools you may use to build your own index.

Sam pondered the susceptibility of earthlings to good stories, whether or not they reflect the reality of the planetary energy states they are supposed to describe A story that s built around someone of stature supposedly making a prediction that does not reflect a future planetary condition is a good story The tens of thousands of modern-day websites regarding Watson Sr s alleged remark are living proof of a good story But these are supposed to be the modern times where accuracy and precision in timekeeping, communications, and reporting are at their peak! he remarked wryly As long as the inability to read the past with accuracy and precision remains, the modern-day myths will continue! The NTP designers are on a timeline if the network administrators of subsequent centuries want to know the truth regarding Watson Sr.

It should be noted that the index created here need not use a traditional index structure The Oracle text index, for example, uses a set of tables to implement its concept of an index..

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