Holistic Performance
summary
jQuery treats performance as a multi-factor problem and requires measurable proof before changes land: use JSPerf for reproducible timing, feed results into BrowserScope for cross-browser aggregation, and prefer solutions that cut both download and in-memory cost. A flat word list is 275KB; naive trees compress to ~100KB but inflate memory (~2.75MB) and parsing costs (112ms on a fast desktop, seconds on mobile). A binary succinct tree proves better: small on the wire, low-memory, and fast lookups. Rules: no micro-optimizations that hurt readability, and don’t slow IE.
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chapters (6)
- 0:00Holistic performance
- 3:10Case study: Dictionaries
- 8:59Project philosophy
- 11:05Benchmarking with JSPerf
- 14:44Quality over optimization
- 18:14Communication and results
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