Just-in-time Injection in Distributed Database Query Execution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing database analytic tools are inefficient, costly, and require substantial configuration and training, making it difficult for businesses to effectively manage and analyze large volumes of data stored in complex database systems.
Innovation Solution
Implementing just-in-time injection in a distributed database, which involves receiving query execution instructions, including override instructions that do not modify the query plan, and performing just-in-time compiling of high-level language query instructions to generate machine language queries for executing database results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional database analytic tools are used, then data analysis capability is provided, but the tools are inefficient, costly, and require substantial configuration and training
Solution Approach 1:
The database system automatically performs just-in-time compilation of query instructions without requiring user configuration or training. The system self-adapts by compiling high-level language queries into optimized machine language at runtime, eliminating the need for users to manually configure complex analytic tools while maintaining high analysis efficiency
Solution Approach 2:
The system changes the operational parameters of query execution by dynamically switching between high-level language interpretation and compiled machine language execution. This parameter change enables the system to provide ease of use through high-level language interfaces while achieving high productivity through compiled code execution, resolving the contradiction between ease of operation and analysis efficiency
2Difficulty of detecting and measuring
If query plans are modified for troubleshooting and debugging, then diagnostic capability is improved, but database uptime decreases due to recompiling, redeploying, and restarting
Solution Approach 1:
The system performs preliminary compilation of query instructions into machine language before execution is needed. This just-in-time compilation approach allows query plans to be prepared and optimized in advance, enabling troubleshooting and debugging activities without requiring database restarts, thus maintaining high availability while improving diagnostic capability
Solution Approach 2:
The system dynamically compiles and loads query plans during runtime without static pre-compilation or post-modification requirements. This dynamic approach allows query instructions to be modified, recompiled, and redeployed on-the-fly without stopping the database, resolving the contradiction between debugging capability and database uptime by making the compilation process flexible and non-disruptive
3Productivity
If just-in-time compiling is performed, then query execution efficiency is improved, but compilation time and processing overhead increase
Solution Approach 1:
The system performs compilation periodically or on-demand rather than continuously. By compiling query instructions just-in-time before execution and reusing the compiled machine language for subsequent identical queries, the system minimizes compilation time overhead while maximizing query execution efficiency, resolving the contradiction between productivity and time loss
Data Source
AI summary
A request for database results is received from a query coordinator at a database instance of a distributed database. The request includes a query execution instruction of a query plan and an indication of override instructions corresponding to the query execution instruction. The override instructions are such that they do not modify the query plan. The database instance includes the override instructions in a set of high-level language query instructions. The database instance performs just-in-time compiling of the set of high-level language query instructions to obtain a machine language query for performing the query execution instruction of the query plan. The database instance executes the machine language query to obtain the database results. The database instance then transmits the database results to the query coordinator.