Database Query Dictionary Encoding for Automatic Optimization
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Solution Overview
Problem
Existing dictionary-based optimization in database processing requires user intervention for dictionary management, leading to increased maintenance costs and potential declines in query performance, and is not effectively applied to intermediate query results.
Innovation Solution
Automatically determine whether dictionary-based optimization is needed for a target column, obtain a corresponding dictionary, encode the column values, and convert operation instructions accordingly, enabling automatic dictionary management and improved query performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If user manually manages dictionary in database processing, then dictionary-based optimization can be applied, but user maintenance costs increase and query performance may decline
Solution Approach 1:
The system automatically determines whether to apply dictionary-based optimization and manages the dictionary without user intervention. The database system self-evaluates query characteristics, selects appropriate dictionaries, and handles encoding/decoding operations autonomously, eliminating the need for users to manually manage dictionaries while maintaining optimization benefits
Solution Approach 2:
The system dynamically changes the parameter of dictionary application based on query characteristics. By evaluating query patterns and data distribution, the system adjusts whether to apply dictionary encoding, selects appropriate dictionaries, and modifies encoding strategies in real-time, optimizing query performance without fixed user-defined configurations
2Productivity
If dictionary-based optimization is automatically applied to all columns, then query performance improves, but resource overhead increases
Solution Approach 1:
The system applies dictionary-based optimization selectively to specific columns and queries where it is most beneficial. By evaluating query characteristics and column properties locally, the system applies encoding only where appropriate rather than universally, reducing unnecessary resource overhead while maintaining performance improvements in critical areas
Solution Approach 2:
The system applies dictionary optimization partially - only to the extent necessary for each query. By evaluating whether dictionary encoding will actually improve performance for each specific query-column combination, the system avoids excessive application of optimization where it would consume resources without benefit, achieving the right balance between performance improvement and resource usage
3Productivity
If dictionary encoding is applied to intermediate query results, then overall query performance improves, but processing complexity increases
Solution Approach 1:
The system performs dictionary encoding on intermediate query results in advance of final output generation. By encoding intermediate results during the query processing pipeline rather than only at the final stage, the system prepares data for subsequent operations more efficiently, reducing overall processing complexity and improving performance through proactive data preparation
Solution Approach 2:
The system introduces dictionary encoding as an intermediary transformation layer in the query processing pipeline. This intermediary step converts data between encoded and decoded forms at appropriate stages, facilitating more efficient processing of intermediate results while managing complexity through structured transformation operations that integrate seamlessly with existing query mechanisms
Data Source
AI summary
Embodiments of the present disclosure provide a database processing method and device and a storage medium. The method includes: receiving an operation instruction for a database, and determining whether dictionary-based optimization is enabled for a target column associated with the operation instruction; in response to determining that the dictionary-based optimization is enabled, obtaining a dictionary corresponding to the target column, wherein the dictionary includes a mapping relationship between a value included in the target column and a corresponding replacement value; encoding the target column based on the dictionary to replace the value included in the target column with the corresponding replacement value; and converting, based on the dictionary, the operation instruction into an operation instruction corresponding to the encoded target column, executing the converted operation instruction, and decoding an operation result based on the dictionary.