Large HTTP Request Logging With Real-Time Progress Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Client devices often idle for extended periods awaiting completion of large data requests, which involve complex computations and data processing, leading to inefficiencies in server interactions.
Innovation Solution
A server system generates a unique identifier for large data requests, logs updates on task completion or failure, 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 for the large data request to complete before proceeding, then the server can process the request accurately, but the client device experiences extended idle time
Solution Approach 1:
The server performs preliminary actions by generating a unique identifier and logging initial request information immediately upon receiving the large data request, before the actual data processing completes. This allows the client to receive immediate feedback rather than waiting for complete processing.
Solution Approach 2:
The system implements a feedback mechanism where the server logs periodic updates about the request processing status and makes these updates queryable via update requests. The client can poll for updates using the unique identifier, receiving feedback about processing progress without blocking the client's other operations.
2Reliability
If the server processes large data requests synchronously, then the processing is straightforward and reliable, but the server response time increases significantly
Solution Approach 1:
The patent segments the request processing into distinct phases: initial request reception, unique identifier generation, periodic update logging, and final completion. Each phase can be tracked independently, allowing the system to maintain reliability while managing long processing durations through structured segmentation of the workflow.
Solution Approach 2:
The unique identifier acts as an intermediary between the client's initial request and the eventual processing results. It enables the client to query processing status without blocking the server's continuous processing operations, decoupling the client's waiting mechanism from the server's processing timeline.
3Loss of information
If the server provides detailed logging of all processing steps, then the client can track progress accurately, but the data storage and retrieval complexity increases
Solution Approach 1:
The logging system is designed with multi-functionality: it generates unique identifiers for tracking, stores periodic processing updates, and provides query interfaces for clients to retrieve status information. This single logging infrastructure serves multiple purposes, reducing overall system complexity while maintaining comprehensive progress tracking capabilities.
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.


