1. A method for combining common processes shared by at least two or more sub-queries within a query, the method comprising: determining, by one or more computer processors, the query with the at least two or more sub-queries, wherein determining the query with the at least two or more sub-queries includes scanning the query to determine whether there are at least two or more sub-queries within the query; determining, by the one or more computer processors, whether one or more sub set relationships are shared between the at least two or more sub-queries, wherein determining whether one or more sub set relationships are shared between the at least two or more sub-queries includes determining whether the at least two or more sub-queries share a common data process and differ in at least one aspect of the common data process, wherein determining includes analyzing one or more respective predicates of the at least two or more sub-queries; responsive to a determination that the at least two or more sub-queries share a common data process and differ in at least one aspect of the common data process, determining, by the one or more computer processors, one or more sub set relationships are shared between the at least two or more sub-queries; responsive to a determination that the at least two or more sub-queries do not share a common data process and do not differ in at least one aspect of the common data process, determining, by the one or more computer processors, one or more sub set relationships are not shared between the at least two or more sub-queries; responsive to a determination that one or more sub set relationships are shared between the at least two or more sub-queries, determining, by the one or more computer processors, an order class for the at least two or more sub-queries based on the one or more sub set relationships, wherein determining the order class for the at least two or more sub-queries includes marking one or more common data processes shared between the at least two or more sub-queries, combining the one or more common data processes of the at least two or more sub-queries into a single shared common process, transforming the query to include one or more differing aspects within the single shared common process, with the one or more differing aspects arranged based, at least in part, on one or more of: a query style, a query type, and a query function, and replacing an original location of the one or more common data processes with a signed node; determining, by the one or more computer processors, an access path for the query, wherein determining the access path for the query includes determining a cost associated with dynamically generating a temporary result set against some sub-queries that may be reused by one or more other sub-queries, determining a cost associated with the at least two or more sub-queries of the query accessing one or more base tables; responsive to a determination that the cost associated with dynamically generating the temporary result set against some sub-queries that may be reused by the one or more other sub-queries is less than the cost associated with the at least two or more sub-queries of the query accessing the one or more base tables, generating an access path for a single shared common process, wherein the access path includes two or more different branches in a parse tree for each of two or more differing aspects within the single shared common process, wherein the two or more different branches return two or more results sets; responsive to a determination that the cost associated with dynamically generating the temporary result set against some sub-queries that may be reused by the one or more other sub-queries is less than the cost associated with the at least two or more sub-queries of the query accessing the one or more base tables, generating, by the one or more computer processors, a plurality of temporary results sets against the at least two or more sub-queries for adoption by the one or more other sub-queries instead of accessing the one or more base tables for results sets; and executing, by the one or more computer processors, the access path during run-time for data accessing.