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Why is a lossy decomposition called lossy? What do we lose in a lossy decomposition? There is a relation R. It is decomposed into two relation R1 and R2. If R = (R1 JOIN R2) then it is a lossless join decomposition. If R is a subset of (R1 JOIN R2) then it is a lossy join decomposition. In a lossy join decomposition, after joining R1 and R2 we get more records compared to R. What are we losing?
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