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The second point comes from the numbers we can see (which are, of course, specific to this example) The reported cost of the index in both cases (RSC_IO: 3 and RSC_IO: 1) is derived in the same way it was for B-tree indexes: ceiling (leaf_blocks * effective index selectivity) plus 0 for the blevel (remember from 4, when the blevel is 1, it is excluded from the calculation) One final detail, which isn t immediately obvious from these figures, is that the final cost of the query multiplies the stated index component of the cost by a factor of 11 Possibly this scaleup is to give B-tree indexes a small benefit over bitmap indexes when a table has both types of index in place; possibly it is there to reduce the risk of the optimizer doing a B-tree to bitmap conversion unnecessarily.

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If you work backwards from the figures previously reported, you get the following: Using index t1_i3: The cost of the index is 3, which is scaled up to 33 But the best_cst equals 11654, so the cost of hitting the actual table blocks has been estimated at 11654 33 = 11324 Using index t1_i4: The cost of the index is 1, which is scaled up to 11 But the best_cst equals 11434, so the cost of hitting the actual table blocks has been estimated at 11434 11 = 11324 Forget about data clustering and data scattering For bitmap indexes, the calculated cost of hitting the actual table for a given amount of data is the same, regardless of how the data is actually scattered or clustered For bitmap indexes, the cost based optimizer knows nothing about the real data scatter.

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This startling difference in the costing strategy has occasionally resulted in some confusion about the benefits of using bitmap indexes Remember that we are looking at the optimizer s estimate of what it thinks will happen, and in particular the optimizer s estimate of the number of I/O requests that will have to take place But sometimes people will see a B-tree index being ignored by the optimizer and discover that when they change it to a bitmap index, the optimizer uses it (That s exactly what would happen if you changed my index t1_i5 the B-tree on the scattered data into a bitmap index) As a consequence of flawed experiments, it has become common knowledge that a bitmap index will be more effective when fetching larger percentages of the data from the table But this is not correct.

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