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Relational algebra
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==== Selection and cross product ==== Cross product is the costliest operator to evaluate. If the input [[relation (database)|relation]]s have ''N'' and ''M'' rows, the result will contain <math>NM</math> rows. Therefore, it is important to decrease the size of both operands before applying the cross product operator. This can be effectively done if the cross product is followed by a selection operator, e.g. <math>\sigma_{A}(R \times P)</math>. Considering the definition of join, this is the most likely case. If the cross product is not followed by a selection operator, we can try to push down a selection from higher levels of the expression tree using the other selection rules. In the above case the condition ''A'' is broken up in to conditions ''B'', ''C'' and ''D'' using the split rules about complex selection conditions, so that <math>A = B \wedge C \wedge D</math> and ''B'' contains attributes only from ''R'', ''C'' contains attributes only from ''P'', and ''D'' contains the part of ''A'' that contains attributes from both ''R'' and ''P''. Note, that ''B'', ''C'' or ''D'' are possibly empty. Then the following holds: :<math>\sigma_{A}(R \times P) = \sigma_{B \wedge C \wedge D}(R \times P) = \sigma_{D}(\sigma_{B}(R) \times \sigma_{C}(P))</math>
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