Bifurcated Query Architecture for Online and Batch Data Processing
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Solution Overview
Problem
Existing data processing systems face inefficiencies in managing both online and offline data processing, requiring separate interfaces and resources, leading to high latency for online processing and low throughput for batch processing, and lack scalability in handling varying data loads.
Innovation Solution
A bifurcated computer system with separate engines and databases for online and offline processing, allowing simultaneous handling of both types of queries through a unified interface, enabling independent scalability and resource allocation for each type of processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a single data processing system handles both online and offline batch processing, then resource utilization improves, but processing latency increases and throughput decreases
Solution Approach 1:
The system is divided into two separate processing engines: an online processing engine for real-time queries and an offline batch processing engine for bulk operations. Each engine has dedicated resources and optimization tailored to its specific workload type, allowing simultaneous high-speed online processing and efficient batch processing without mutual interference.
Solution Approach 2:
A unified interface layer acts as an intermediary between users and the dual processing engines. This interface automatically routes queries to the appropriate engine based on query type, transparently managing the complexity of having two separate systems while maintaining a simple user experience.
2Speed
If separate systems are used for online and offline processing, then processing speed improves, but system complexity increases
Solution Approach 1:
The unified interface provides multi-functionality by handling both online and offline processing requests through a single entry point. It automatically determines the appropriate processing engine based on query characteristics, eliminating the need for users to interact with separate systems while maintaining the performance benefits of separation.
3Productivity
If separate systems are used for online and offline processing, then throughput improves, but ease of operation deteriorates
Solution Approach 1:
The unified interface consolidates multiple processing functions into a single system that users interact with. It automatically routes different types of queries to appropriate engines without requiring users to understand or manage the underlying complexity, maintaining ease of operation while achieving high throughput through specialized processing paths.
4Device complexity
If a single processing engine handles multiple query types, then device complexity reduces, but processing efficiency deteriorates
Solution Approach 1:
The processing system is segmented into specialized engines: one optimized for online transactional queries with low-latency requirements, and another optimized for offline batch processing with high-throughput requirements. Each engine can be independently tuned and scaled for its specific workload, maximizing processing efficiency while maintaining manageable complexity through clear separation of concerns.
Data Source
AI summary
Techniques are disclosed relating to executing a bifurcated computer system for different types of data processing. The system receives a plurality of requests to execute queries and executes a first service of the system for a first query specified by the requests based on the first query specifying a first type of data. The system accesses, via the first service for the first query, a first database storing the first type of data. The system executes a second service for a second query specified by the requests based on the second query specifying a second type of data. The system accesses, via the second service for the second query, a second database storing the second type of data. The system transmits results of the first database to a user device of the first query and results of the second database to a user device of the second query.