Abstract
In this paper, we initiate a theoretical study of what we call the join covering problem. We are given a natural join query instance on attributes and relations . Let denote the join output of . In addition to , we are given a parameter and our goal is to compute the smallest subset such that every tuple in is within Hamming distance from some tuple in . The join covering problem captures both computing the natural join from database theory and constructing a covering code with covering radius from coding theory, as special cases. We consider the combinatorial version of the join covering problem, where our goal is to determine the worst-case in terms of the structure of and value of . One obvious approach to upper bound is to exploit a distance property (of Hamming distance) from coding theory and combine it with the worst-case bounds on output size of natural joins (AGM bound hereon) due to Atserias, Grohe and Marx [SIAM J. of Computing'13]. Somewhat surprisingly, this approach is not tight even for the case when the input relations have arity at most two. Instead, we show that using the polymatroid degree-based bound of Abo Khamis, Ngo and Suciu [PODS'17] in place of the AGM bound gives us a tight bound (up to constant factors) on the for the arity two case. We prove lower bounds for using well-known classes of error-correcting codes e.g, Reed-Solomon codes. We can extend our results for the arity two case to general arity with a polynomial gap between our upper and lower bounds.
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