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We revisit the join ordering problem in query optimization. The standard exact algorithm, DPccp, has a worst-case running time of . This is prohibitively expensive for large queries, which are not that uncommon anymore. We develop a new algorithmic framework based on subset convolution. DPconv achieves a super-polynomial speedup over DPccp, breaking the time-barrier for the first time. We show that the instantiation of our framework for the C_\max cost function is up to 30x faster than DPccp for large clique queries.

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