Abstract: This invention relates generally to a system for processing database queries, and more particularly to a method for generating high level language or machine code to implement query execution plans. In one preferred embodiment, the method begins by receiving a subject query, and then forming an execution plan corresponding to the subject query. The execution plan will typically have a sequence of component snippets or pieces and corresponding processes for implementing the pieces. For at least one piece in the plan, the process then (a) generates source code using different code generation techniques as a function of expected runtime processing machine types; and then (b) compiles the generated source code to form machine executable code for implementing the subject query. As a result, the query executed directly as machine executable code thereby avoiding runtime interpretation of the pieces in the execution plan.

Abstract: This invention relates generally to a system for processing database queries, and more particularly to a method for generating high level language or machine code to implement query execution plans. In one preferred embodiment, the method begins by receiving a subject query, and then forming an execution plan corresponding to the subject query. The execution plan will typically have a sequence of component snippets or pieces and corresponding processes for implementing the pieces. For at least one piece in the plan, the process then (a) generates source code using different code generation techniques as a function of expected runtime processing machine types; and then (b) compiles the generated source code to form machine executable code for implementing the subject query. As a result, the query executed directly as machine executable code thereby avoiding runtime interpretation of the pieces in the execution plan.

Abstract: This invention relates generally to a system for processing database queries, and more particularly to a method for generating high level language or machine code to implement query execution plans. in one preferred embodiment, the method begins by receiving a subject query, and then forming an execution plan corresponding to the subject query. The execution plan will typically have a sequence of component snippets or pieces and corresponding processes for implementing the pieces. For at least one piece in the plan, the process then (a) generates source code using different code generation techniques as a function of expected runtime processing machine types; and then (b) compiles the generated source code to form machine executable code for implementing the subject query. As a result, the query executed directly as machine executable code thereby avoiding runtime interpretation of the pieces in the execution plan.

Abstract: This invention relates generally to a system for processing database queries, and more particularly to a method for generating high level language or machine code to implement query execution plans. The present invention provides a method for generating executable machine code for query execution plans, that is adaptive to dynamic runtime conditions, that is compiled just in time for execution and most importantly, that avoids the bounds checking, pointer indirection, materialization and other similar kinds of overhead that are typical in interpretive runtime execution engines.

Abstract: A scanning system and method for reading coded indicia carried on containers, etc., the system and method including means for generating in a predetermined sequence a first light pattern, and a second light pattern, and means for focusing same at a window over which containers carrying the coded indicia are positioned. The disclosure also includes a mirrored rotatable polygon structure including a plurality of mirrors, some of which are inclined at a positive angle and the others which are positioned at a negative angle with respect to the polygon axis of rotation as well as means for adjusting the incline of the mirrors.