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Oracle supports several types of index, which have several variations The two index types of concern here are the B*Tree index, which is the default index type, and the bitmap index As a general rule, indexes will improve performance for data retrieval but reduce performance for DML operations This is because indexes must be maintained Every time a row is inserted into a table, a new key must be inserted into every index on the table, which places an additional strain on the database For this reason, on transaction processing systems it is customary to keep the number of indexes as low as possible (perhaps no more than those needed for the constraints) and on query-intensive systems such as a data warehouse to create as many as might be helpful

A B*Tree index (the B stands for balanced ) is a tree structure The root node of the tree points to many nodes at the second level, which can point to many nodes at the

.

In the case of Figure 10-5, there were only three colors in the palette even though the default setting I initially used specified 32 This is good it means the program is not leaving unnecessary colors in the palette, which would inflate the file size In this image, there are indeed only three colors needed

third level, and so on The necessary depth of the tree will be largely determined by the number of rows in the table and the length of the index key values TIP The B*Tree structure is very efficient If the depth is greater than three or four, then either the index keys are very long or the table has billions of rows If neither if these is the case, then the index is in need of a rebuild PART II The leaf nodes of the index tree store the rows keys, in order, each with a pointer that identifies the physical location of the row So to retrieve a row with an index lookup, if the WHERE clause is using an equality predicate on the indexed column, Oracle navigates down the tree to the leaf node containing the desired key value, and then uses the pointer to find the row location If the WHERE clause is using a nonequality predicate (such as: LIKE, BETWEEN, >, or < ), then Oracle can navigate down the tree to find the first matching key value and then navigate across the leaf nodes of the index to find all the other matching values As it does so, it will retrieve the rows from the table, in order The pointer to the row is the rowid The rowid is an Oracle-proprietary pseudocolumn, which every row in every table has Encrypted within it is the physical address of the row As rowids are not part of the SQL standard, they are never visible to a normal SQL statement, but you can see them and use them if you want This is demonstrated in Figure 7-3 The rowid for each row is globally unique Every row in every table in the entire database will have a different rowid The rowid encryption provides the physical address of the row; from which Oracle can calculate which operating system file, and where in the file the row is, and go straight to it.