Optimizing Performance in DeltaGraph: Tips & Best Practices
1. Choose the right data model
- Aggregate where possible: Pre-aggregate time series or categorical data to reduce points plotted.
- Use efficient formats: Prefer columnar or binary formats (CSV→Parquet/Feather) for faster reads.
2. Limit plotted points
- Downsample on load: Render a representative subset (e.g., every Nth point or use max/mean windows) for large series.
- Progressive rendering: Load coarse data first, then refine on zoom.
3. Optimize queries and data retrieval
- Push filtering and aggregation to the data layer: Let the database or preprocessing step return only the needed range/summary.
- Index time or key columns: Improves range queries for interactive zooming.
4. Use efficient rendering strategies
- WebGL/Canvas over SVG: For many points, prefer GPU-accelerated rendering.
- Batch draw calls: Reduce per-point overhead by grouping primitives.
- Use texture atlases for repeated markers.
5. Manage memory and object lifecycles
- Reuse buffers and objects: Avoid reallocating large arrays each frame.
- Limit retained history: Keep only necessary series/windows in memory.
6. Tune visual complexity
- Simplify styles: Minimize costly effects (shadows, gradients, blur).
- Use level-of-detail (LOD): Show less detail when zoomed out.
7. Asynchronous processing
- Do heavy work off the main thread: Use web workers or background tasks to preprocess/downsample.
- Debounce interactions: Throttle zoom/pan events to avoid excessive re-renders.
8. Caching and CDN
- Cache transformed data: Store downsampled tiles or summaries for quick reuse.
- Serve static assets via CDN: Reduce latency for libraries and large datasets.
9. Monitor and profile
- Profile rendering and memory: Identify hotspots (CPU, GPU, GC).
- Log load/interaction timings: Track slow queries or renders and address them.
10. Platform-specific tips
- Desktop apps: Use native GPU acceleration and larger memory budgets.
- Web apps: Detect device capabilities and fall back to lighter renderers on low-end devices.
If you want, I can convert these into a one-page checklist, a code example for downsampling, or concrete WebGL optimizations tailored to your environment—tell me which.