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Query plan caching eliminates the need for repeated query optimization; hence, it has strong practical implications for relational database management systems (RDBMSs). Unfortunately, existing approaches consider only the query plan generated at the expected values of parameters that characterize the query, data and the current state of the system, while these parameters may take different values during the lifetime of a cached plan. A better alternative is to harvest the optimizer's plandoi:10.1109/icde.2012.57 dblp:conf/icde/AlucDB12 fatcat:kvbafoc3vnbpbejyzs5pidr2k4