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Step 1: Generate All 1-Relation Plans. This step generates the access plans for each of the relations involved in the query. Select and project are the only operations we consider in this step. All other operations are binary operations, which involve more than one relation by de nition. When considering 1-relation plans, the access paths for each select and project operation are evaluated and we choose the path with the smallest cost, discarding the others. For instance, we know that a predicate of the form attribute = constant for a uniquely valued attribute will return either one tuple or zero tuple. In this case, if a unique index has been created on the attribute, we have an access path based on a unique index lookup. Alternatively, we could scan the relation to nd the matching tuple. It should be obvious that between these two access paths, the unique index lookup is faster than the scan, especially for large relations that occupy many disk pages. Therefore, the plan that utilizes the index is chosen for the select operation using this relation. Let s assume that the optimal access plans, P1 , P2 , . . . , PN, are kept for relations R1, R2, . . . , RN correspondingly. Step 2: Generate All 2-Relation Plans. In this step, the algorithm combines all the 1-relation plans we kept from Step 1 into 2-relation plans and chooses those with the smallest cost for each pair of relations. Again, the cost of each combination is datamatrix.net.dll example How to generate data matrix 2d bar code for c# - MSDN - Microsoft
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