Over-Fetching and Under-Fetching Data

7/10 High

Developers struggle to balance data retrieval efficiency. Requesting excessive data degrades performance, while requesting too little data causes multiple round trips to the server, impacting application speed and responsiveness.

Category
performance
Workaround
partial
Stage
debug
Freshness
persistent
Scope
single_lib
Recurring
Yes

Sources

Collection History

Query: “What are the most common pain points with Svelte for developers in 2025?4/5/2026

Another issue is over-fetching data, which can slow down your app... One approach is to lazy load data or use virtual lists to only render the items that are in view.

Query: “What are the most common pain points with HTTP for developers in 2025?3/31/2026

Pain point REST APIs are common. They hide in latency spikes, payload bloat, brittle contracts, and opaque versioning... Slow serialization, inefficient queries, and over-fetching data are top offenders... Bloated JSON wastes bandwidth.

Query: “What are the most common pain points with GraphQL for developers in 2025?3/30/2026

Developers may unintentionally request excessive data, resulting in performance degradation. On the contrary, requesting too little data can lead to multiple round trips to the server, further impacting application speed and responsiveness.

Created: 3/30/2026Updated: 4/5/2026