Database query optimization

Database query optimization is a project: we find slow queries (slow query log, profiling, EXPLAIN plans), analyze causes (missing indexes, full scan, N+1 from the ORM, excess data, suboptimal joins/subqueries) and optimize — rewrite queries, add needed indexes, eliminate N+1, cache where appropriate. Honestly about the effect: optimizing specific heavy queries usually gives a noticeable and measurable speedup (we show 'before/after' by query time/load) — a clear technical win. Honestly about limits, important: not every slow query can be sped up 'head-on' — sometimes the cause is in the architecture, schema or data volume, and the structure/code must be changed (a bigger job) or a limit acknowledged; on huge volumes some queries hit physics. Honestly about ORM: N+1 and suboptimal queries are often generated by the ORM — fixing may require changes in the application code. Honestly about risk: query/index changes must be checked on test data so as not to break logic or slow writes (indexes are a trade-off, see a separate service). Honestly about business: speedup improves response/resilience, we do NOT guarantee sales growth by itself. Honestly about access: access to the DB/code and preferably real data/logs is needed. An important boundary: this is query optimization, not indexing as separate deep work (718 — adjacent), not caching (719/720) and not DB schema redesign from scratch. If queries are already fast, the benefit is small. Picture this: instead of 'a page hangs 5 seconds on a heavy query' — a fast response and an offloaded DB. The base price starts from 20,000 ₽ per project; it depends on the number and complexity of queries.

• Pages/admin 'hang' on heavy DB queries.
• The server is overloaded by suboptimal queries.
• N+1 and full scan due to the ORM or missing indexes.
• You do not know which queries exactly are slow.

• Finding slow queries (slow log, profiling, EXPLAIN)
• Cause analysis (indexes, full scan, N+1, joins)
• Rewriting queries and eliminating N+1
• Adding needed indexes (accounting for trade-offs)
• Caching queries where appropriate
• Checking on test data (without breakage)
• A 'before/after' report by time/load
• Handover and review with you

• Specific heavy queries sped up (with 'before/after')
• Faster response of pages and the admin
• Less load on the DB and server
• A clear technical win (sales growth — not guaranteed)

• We find slow queries by logs/profile; collect DB access
• We analyze plans and optimize (queries/indexes/N+1)
• We check on test data, measure 'before/after', review with you

• Can any slow query be sped up?

  Not every one 'head-on'. Sometimes the cause is in the architecture, schema or data volume — the structure/code must be changed (a bigger job) or a physical limit acknowledged. We honestly show what speeds up quickly and what needs deeper changes.

• Will it raise sales?

  Not directly guaranteed. Speedup improves response and resilience (better UX, fewer crashes under load), but sales depend on many factors. It is a technical win, not a promise of revenue growth.

• Won't optimization break the logic?

  There is a risk with carelessness — query/index changes are checked on test data so as not to break results or slow writes. Indexes are a trade-off (speed up reads, slow writes) — we account for that.