Composite Key Hash Collision Reduction via Linear Index Segmentation
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Solution Overview
Problem
Current technologies lack an effective means to minimize hash collisions of composite keys, which can lead to increased lookup times due to the handling of collisions using techniques like hashing with another function or maintaining linked-lists.
Innovation Solution
The method involves converting each component of a composite key into a linear index that represents the key component, storing these indices in separate lookup memories, and creating a reduced composite key by joining the linear indices, thereby reducing the total length of the composite key in a lossless manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If composite keys are used to uniquely identify entity occurrences, then identification accuracy is improved, but hash collisions increase leading to longer lookup times
Solution Approach 1:
The composite key is segmented into multiple individual key components, each of which is independently hashed and stored in a separate hash table. This segmentation allows the system to handle each component separately, reducing the complexity of hashing the entire composite key and minimizing collisions by distributing the hashing load across multiple smaller hash tables.
Solution Approach 2:
Individual hash tables serve as intermediaries between the composite key components and the final lookup result. Each hash table processes a specific key component and returns potential matches, which are then combined to determine the final result. This intermediary approach breaks down the complex hashing problem into simpler sub-problems.
2Ease of manufacture
If traditional hashing techniques are used to handle composite keys, then implementation simplicity is maintained, but collision handling complexity increases
Solution Approach 1:
The system segments the collision handling process by creating separate hash tables for each key component. Instead of implementing a complex collision handling mechanism for the entire composite key, each individual hash table handles collisions independently using standard hashing techniques, greatly simplifying the overall implementation.
Solution Approach 2:
Multiple simple hash tables are merged to collectively handle the composite key lookup. Each hash table is independently simple to implement, but their combination provides robust collision handling for the composite key structure without requiring complex individual table implementations.
Data Source
AI summary
A computer-implemented method, system and computer program product for minimizing hash collisions of composite keys. Each component (“key component”) of the composite key is converted into a linear index that uniquely represents that key component. Such a one-to-one mapping reduces the length (i.e., range of values the key component represents) of each component without introducing any collisions thereby effectively resulting in the lossless compression of the individual key components. Such a linear index for each converted key component is stored in a separate lookup memory. A reduced composite key is then created by joining together the linear indices that represent the components of the composite key thereby reducing the total length or domain (i.e., range of values the composite key represents) of the original composite key in a lossless manner. In this manner, by reducing the total length of the composite key, hash collisions of composite keys are minimized.