Database Engineering / Query Optimization
Database Query Optimization
Slow pages and timeouts usually come from a handful of queries — a missing index, a bad join, an N+1 pattern, or a plan the database chose badly. We measure your real workload, find the queries that cost the most, and fix them with indexes, rewrites, and configuration changes your team can understand.
This Is For You If...
Pages, reports, or API calls have become slow as your data grew
The database server runs at high CPU or I/O and you're not sure which queries cause it
Your ORM generates queries nobody on the team has looked at
You're about to pay for a bigger database server and want to know whether tuning would be enough
Which Area Matches Your Problem?
Ask Yourself | Points Toward |
Do you know which queries are slow? | Query Profiling |
Do slow queries scan large tables? | Index Design |
Is the query logic itself inefficient, or generated by an ORM? | Query Rewrites |
Are queries fine but the server still struggles? | Database Configuration Tuning |
Query Optimization Services We Offer
Query Profiling
We use slow query logs, pg_stat_statements, Performance Schema, or Query Store to rank queries by total cost, so effort goes to the queries that matter most.
Index Design
We read execution plans and add, change, or remove indexes — including composite, partial, and covering indexes — balancing read speed against write cost.
Query Rewrites
We rewrite inefficient SQL and fix ORM patterns such as N+1 queries, unnecessary columns, and missing pagination.
Database Configuration Tuning
Memory, connection, cache, and planner settings tuned for your hardware and workload.
What We Need From You
What to Share | Why It Helps |
Which pages or endpoints are slow | Connects user-visible problems to specific queries |
Read access to query statistics or slow logs | Shows what the database actually spends time on |
Your schema and approximate table sizes | Execution plans depend on data volume |
Database engine, version, and hosting | Determines available tools and settings |
Common Mistakes to Avoid
Instinct | Why It Doesn't Help | Do This Instead |
Adding an index for every slow query | Too many indexes slow down writes and waste memory | Design indexes from execution plans and the overall workload |
Upgrading the server first | Expensive, and inefficient queries soon catch up | Profile and tune first, then scale if still needed |
Optimizing the query you noticed | It may not be the one using the most resources | Rank queries by total time across the workload |
Testing on a small local database | Plans change completely at production data volume | Test with production-like data sizes |
How It Works
1. Share access and symptoms
Tell us what is slow and give us read access to statistics
2. We profile the workload
We rank queries by total cost and frequency
3. We analyze plans
We read execution plans to find the real cause
4. We apply fixes safely
Indexes, rewrites, and settings, tested before production
5. We measure and report
You see before-and-after timings and what changed
Why Codersarts
We measure before we change anything, so every fix is tied to a real cost in your workload. You get faster queries and a clear record of what changed and why — not a list of generic tuning tips.
Turnaround Time
An initial profiling report with the top fixes is typically delivered within a few days of access. Larger tuning efforts are scoped from that report.
FAQ
Will we need to change our application code?
Often not — many fixes are indexes and configuration. Where code is the cause, we show exactly what to change.
Do you work with ORMs?
Yes — Django ORM, SQLAlchemy, Prisma, Sequelize, Hibernate, Entity Framework, and others.
What if tuning isn't enough?
Then we plan the next step, such as Database Scaling.
Is our project kept confidential?
Yes. Your data, code, and results stay confidential, and an NDA is available on request.
Related Services
Is the Database Slowing Your Product Down?
Find the queries that cost the most and fix the real cause.