Compile Time Opcodes for Database Query Bind Variable Context
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Solution Overview
Problem
In database applications, the processing of bind variables is expensive due to the need to re-determine metadata at runtime, which was not captured during compilation, leading to significant performance overhead.
Innovation Solution
Gathering and storing usage context information at compile time as interpretable opcodes in the shared query context, allowing the execution engine to retrieve bind values efficiently during runtime by performing operations associated with the captured context information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If bind processing is performed at runtime without capturing context information at compile time, then the system can handle dynamic queries, but the runtime processing cost increases significantly due to re-determining metadata
Solution Approach 1:
The patent captures context information about bind variables at compile time, including metadata such as data types, lengths, and usage patterns. This preliminary action stores the context in the execution plan, eliminating the need to re-determine this information at runtime, thus reducing processing costs while maintaining dynamic query handling capabilities
Solution Approach 2:
The patent segments the bind processing into two phases: compile-time context capture and runtime execution. By separating the metadata determination from the actual query execution, the system prepares necessary information in advance, allowing runtime to focus only on executing with the captured context, thereby reducing overall runtime overhead
2Productivity
If context information is captured at compile time, then runtime performance improves, but the compile time processing and execution plan size increase
Solution Approach 1:
The patent extracts only the essential context information about bind variables from the full query metadata, storing only what is necessary for efficient runtime execution. This selective extraction avoids bloatting the execution plan with unnecessary information, maintaining compact plan sizes while still achieving performance improvements
Solution Approach 2:
The patent applies context capture selectively to bind variables that actually require it, rather than capturing metadata for all query elements. This localized approach ensures that only relevant portions of the query plan are expanded with context information, minimizing the overall increase in execution plan complexity
3Adaptability or versatility
If bind variable metadata is re-determined at runtime, then the system can adapt to different execution contexts, but the dispatch overhead increases significantly
Solution Approach 1:
The patent performs preliminary capture of bind variable context information at compile time, including data types, lengths, and usage patterns. This pre-captured context is stored in the execution plan, allowing the runtime engine to dispatch operations without re-determining metadata, thus reducing dispatch overhead while maintaining adaptability through the use of the captured context
Data Source
AI summary
A method system and program for performing a query in which context and information including opcodes accompanies an execution plan for the query. The opcodes determine operations to retrieve a set of bind variables. The execution plan and context information shared by a plurality of application programs.