Is there a rule of thumb for cardinality versus number of rows for a bitmap index, and what datatypes are best/worst...
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The rule of thumb is that bitmap indexes should be used for low cardinality columns. To figure out the cardinality, count the number of distinct values from the column of a table. If I have a table with 1 million rows, and a column only has 10 distinct values, then this is low cardinality.
The one thing I caution people is to not use bitmap indexes with too low of cardinality. Many people like to use bitmap indexes on a GENDER column, with only two values (M=male, F=female). Assuming an even distribution, about 50% of the rows will be male and 50% will be female. A bitmap index on this column is most often not desired, even though the cardinality is very low. If I query for all of the females in the table, then reading any index on this column will result in too much overhead. It is better to do a full table scan in this example.
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