Large HTTP Request Tracking With Asynchronous Status Logging
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Solution Overview
Problem
Client devices often idle for extended periods awaiting completion of large data requests, which can involve complex computations and data processing, leading to inefficiencies in server-client interactions.
Innovation Solution
A server system generates a unique identifier for large data requests, logs updates on task completion or failure in a database, and provides real-time progress information to the client using the identifier, allowing asynchronous handling and continuous updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the client device waits idle for the large data request to complete, then the server can perform complex computations and data processing, but the client device experiences extended idle time and reduced efficiency
Solution Approach 1:
The server performs computations and data processing in the background before the client needs the results. The system initiates the large data request processing immediately upon receiving the request, allowing the client to continue using the device without waiting for completion.
Solution Approach 2:
The system provides periodic status updates to the client device during the processing of large data requests. This feedback mechanism allows the client to know the request is being processed without requiring continuous idle waiting, improving perceived responsiveness while maintaining reliable completion.
2Manufacturing precision
If the server processes large data requests synchronously, then the computation can be completed accurately, but the server-client interaction becomes inefficient and slow
Solution Approach 1:
The large data request processing is divided into smaller tasks or chunks that can be processed independently. Each segment can be handled with full accuracy while the overall processing proceeds faster, and results can be returned incrementally or consolidated efficiently.
Solution Approach 2:
The system introduces an intermediary mechanism (such as a job queue or asynchronous processing layer) between the client request and the actual data processing. This intermediary allows the server to accept requests quickly while managing processing in the background, decoupling request acceptance from processing completion.
3Manufacturing precision
If the server handles complex computations for large data requests, then accurate results are produced, but the processing time increases significantly
Solution Approach 1:
The server initiates and begins processing complex computations immediately when a large data request is received, performing the heavy lifting in the background before the client needs the results. This preliminary action ensures accurate computation while eliminating waiting time for the client.
Solution Approach 2:
The system can return partial results or intermediate findings before the complete processing is finished. This allows the client to receive some value earlier while the server continues processing the remaining computations to full accuracy, effectively reducing the perceived duration without sacrificing final precision.
Data Source
AI summary
A computer server system comprises at least one processor; a communications module coupled to the at least one processor; and a memory coupled to the at least one processor and storing processor-executable instructions which, when executed by the at least one processor, configure the at least one processor to receive, via the communications module and from a client device, a hypertext transfer protocol (HTTP) request; determine that the HTTP request includes a large data request; generate a unique identifier for the large data request and store the unique identifier in a database; route the HTTP request to at least one handler function to perform one or more tasks associated with the large data request; and log updates associated with the large data request based on completion or failure of the one or more tasks in the database in association with the unique identifier.