Query Homogenization for Cache Hit Optimization

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Solution Overview

Problem

Database queries often require significant resources to search and process large data sets, and existing methods do not efficiently utilize cached results from similar previous queries, leading to inefficiencies in processing and memory usage.

Innovation Solution

A system that homogenizes query instructions by renaming, reordering, and simplifying them, then generates an instruction hash for comparison with previous queries, allowing for the retrieval of cached results if a match is found, and generates new results by reversing the homogenization process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If database queries process large data sets directly, then query accuracy is maintained, but resource usage and processing time increase significantly

Engineering Contradiction:

Improvequery accuracyVSAvoidprocessing efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system pre-processes queries by homogenizing their structure and storing them in a cache before actual data processing occurs. When a query arrives, the system first checks if a homogenized version exists in the cache, allowing previously processed queries to be retrieved instantly without re-processing the entire data set.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system creates homogenized copies of query instructions that preserve the logical meaning while standardizing the structure. These copies are stored in the cache and used for comparison, allowing the system to identify equivalent queries without processing the original complex query structures each time.

Inventive Principle:

Principle #26Copying

2Speed

If the system caches results from previous queries, then processing speed improves, but memory usage increases

Engineering Contradiction:

Improvequery retrieval speedVSAvoidmemory consumption

Core Design Contradiction:

SpeedVSQuantity of substance

Solution Approach 1:

The system segments the query processing into two parts: homogenized query structure (stored in cache) and actual data processing (performed only when needed). The cache stores only the essential query signature and result metadata, not the full processing state, reducing memory footprint while maintaining retrieval speed.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system discards the need to store complete query execution states by recovering only the essential homogenized query structure and result identifiers from previous executions. When a cached query is found, the system recovers the result by re-executing with the cached parameters rather than storing full execution contexts.

Inventive Principle:

Principle #34Discarding and recovering

3Measurement precision

If the system homogenizes query instructions by renaming and reordering, then cache matching accuracy improves, but query processing complexity increases

Engineering Contradiction:

Improvecache match accuracyVSAvoidquery transformation complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system applies homogeneity by standardizing query structures into a canonical form through consistent renaming of variables and reordering of clauses. This ensures that semantically equivalent queries are transformed into identical representations, improving cache matching accuracy while using deterministic transformation rules to manage complexity.

Inventive Principle:

Principle #33Homogeneity

4Productivity

If the system checks every query against the cache, then cached result utilization improves, but processing overhead increases

Engineering Contradiction:

Improvecache utilization rateVSAvoidquery processing overhead

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary homogenization of the incoming query before cache checking, transforming it into a standardized form that can be efficiently compared against cached entries. This pre-processing step enables faster matching by using standardized query signatures rather than comparing raw query structures.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system extracts only the essential identifying features of queries (homogenized structure, key parameters) for cache comparison, separating these from the full query details. This extraction allows rapid cache lookup by comparing only the critical query signature while preserving the ability to retrieve complete results when matches are found.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS9519679B2Techniques for query homogenization in cache operations

Publication Date: 2016.12.13 SAS INSTITUTE INC

AI summary

An apparatus includes a renaming component to homogenized query instructions for retrieving data items from a data set organized using index labels by identifying a declaration instruction associating an object thereof with an index label, replacing the name provided to the object the with an archetypal name based on the index label, and generating change data associating the name with the archetypal name; a hashing component to take an instruction hash of the homogenized instructions; a cache control routine to find a matching instruction hash corresponding to results of earlier database queries in a results cache; and a reversal routine to, in response finding a matching instruction hash, retrieve a cached result from the results cache associated with the matching instruction hash, and replace a name of a different object therein based on the change data and the query instructions to generate a new result of the new database query.