Progressive Chart Rendering via Cached Swap
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Solution Overview
Problem
Conventional data-rendering systems delay user interaction by waiting for active data to be fully received before rendering, leading to perceived performance issues and user dissatisfaction.
Innovation Solution
Implementing a system where a local cached copy of the data visualization is initially rendered, while active data is fetched in the background, and then swapped in once available, minimizing visual disturbance and enhancing user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system waits for active data to be fully received before rendering, then data accuracy is improved, but user perceived performance deteriorates
Solution Approach 1:
The system performs preliminary action by rendering the cached data visualization before the active data is fully fetched. The chart is rendered with cached data immediately when requested, and only updated once the active data is available, thus eliminating the waiting period for users while maintaining data accuracy through subsequent updates.
Solution Approach 2:
The system uses cached data as an intermediary to bridge the gap between data availability and user request. When data is not yet available or during loading, the cached visualization serves as a temporary substitute that maintains UI responsiveness, and is then updated with the active data once fetched.
2Reliability
If the system renders only after data is fetched, then data freshness is improved, but application responsiveness deteriorates
Solution Approach 1:
The system performs preliminary rendering using cached data before the active data is fully fetched. This allows the application to respond immediately to user requests with available cached visualizations, and then updates the chart with fresh active data in the background, thus maintaining both responsiveness and data freshness.
Solution Approach 2:
The system maintains continuity of useful action by keeping the chart rendering process continuous. The cached visualization is rendered immediately, and the active data is fetched and rendered in the background without interrupting the user experience, ensuring the application remains responsive while continuously updating with fresh data.
3Ease of operation
If the system swaps rendered data visualizations, then user experience is improved, but rendering complexity increases
Solution Approach 1:
The system uses a hidden container as an intermediary to manage the visualization swap process. The active data visualization is rendered in a hidden container first, and only after rendering is complete is it swapped with the cached visualization in the visible container, thus simplifying the complexity management while improving user experience.
Data Source
AI summary
A system includes reception of a request to display a data chart. In response to the request, a cached version of the data chart is retrieved from a memory, the cached version of the data chart is displayed, and while the cached version of the data chart is displayed, current data of the data chart is requested from a remote data source. Also while the cached version of the data chart is displayed, an active version of the data chart is rendered based on the current data. The displayed cached version is then replaced with a display of the rendered active version.