Distributed Contact Index Partitioning for Sub-Second Query Response
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Solution Overview
Problem
Existing systems face significant delays when searching or browsing large contact datasets, such as those exceeding 200 million items, due to inefficient data access methods.
Innovation Solution
A host service system with an index interface that processes contacts by domain, using key-value pairs and tables to quickly identify and retrieve contacts matching query criteria, allowing for fast response times by partitioning the index across multiple storage units and utilizing distributed database technology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional searching methods are used on large contact datasets, then complete contact information can be retrieved, but the response time becomes extremely slow
Solution Approach 1:
The patent segments the large contact dataset by organizing contacts into hierarchical groups based on domain and attribute prefixes. The index structure divides contacts into multiple levels (domain level, attribute prefix level, and individual contact level), allowing the system to search only relevant segments rather than scanning the entire dataset. This segmentation enables fast retrieval by eliminating unnecessary search spaces while maintaining complete contact information accuracy.
2Ease of operation
If the index is maintained in a single location, then data access is simple, but disk access becomes necessary causing slow response times
Solution Approach 1:
The patent transitions from a single-location index to a distributed multi-dimensional index structure. The index is partitioned across multiple servers or storage locations, with each location holding a portion of the contact data organized by domain and attribute prefixes. This dimensional distribution allows the system to access different index portions in parallel and eliminates the single-point bottleneck, achieving sub-second response times while maintaining operational simplicity through the standardized query interface.
3Stability of the object's composition
If the contact dataset is stored in a centralized database, then data consistency is maintained, but search performance degrades with dataset size
Solution Approach 1:
The patent segments the centralized database into distributed index partitions while maintaining logical data consistency through the unified index structure. Each partition stores contacts for specific domains or attribute prefixes, and the hierarchical index organization ensures that queries can be routed to the correct partitions without scanning the entire dataset. This segmentation approach distributes the search workload across multiple nodes, maintaining data consistency through the structured index while achieving linear or sub-linear search performance scaling.
Data Source
AI summary
A host service holds a collection of contacts for multiple organizations, or domains. The system maintains an index made of one or more tables. The index may be sorted across multiple machines. Each table contains a set of elements, and each element points to a subset of the contacts that share a common attribute. When the system receives query to return at least one of the contacts in the collection, the system accesses the index to identify a first element having a domain that matches the domain of the first query and an attribute that matches an attribute value of the query. In response, it returns the contacts to which the first element points.