How Shared GraphQL Fragments Silently Killed Our List Performance
The article discusses performance issues related to GraphQL fragments in a product backlog list page. It highlights how unnecessary data preloading caused significant delays as the number of items increased. The author emphasizes the importance of understanding data needs when sharing fragments across different views.
- ▪The product backlog list page experienced a linear degradation in performance, with response times increasing by approximately 8ms per item.
- ▪A GraphQL query was requesting unnecessary data, triggering multiple cascading database lookups that impacted performance.
- ▪The issue arose from sharing a GraphQL fragment designed for a detailed view in a list view, leading to excessive preloading.
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Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/ryotsun/how-shared-graphql-fragments-silently-killed-our-list-performance-2fdc |
| Publication time | Sun, 24 May 2026 11:09:42 +0000 |
| Retrieval time | 2026-05-24T11:37:32.397Z |
| Last seen | 2026-05-24T11:37:32.397Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Apr39UdNMM3p |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3822759) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Ryo Tsugawa Posted on May 24 How Shared GraphQL Fragments Silently Killed Our List Performance #graphql #go #performance #webdev Something felt slow Our product backlog list page was sluggish. Not dramatically broken — just… off. The kind of slowness you notice when you switch from a fresh demo tenant to a real one with actual data.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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