You will get Optimize MySQL Queries and Improve Database Performance for CRUD


Project details
Description:
We need a database specialist to review and optimize a set of MySQL queries for better performance. The database contains around 15 core fields.
Tasks include:
Reviewing schema and indexes
Optimizing queries for CRUD operations
Ensuring stable and efficient performance
We need a database specialist to review and optimize a set of MySQL queries for better performance. The database contains around 15 core fields.
Tasks include:
Reviewing schema and indexes
Optimizing queries for CRUD operations
Ensuring stable and efficient performance
Database Type
MySQL, MS SQL, SQLiteWhat's included
| Service Tiers |
Starter
$15
|
Standard
$25
|
Advanced
$40
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Number of Queries | 2 | 5 | 10 |
Query Debugging | |||
Query Optimization | - | ||
Query Scheduling | - | - | |
Query Analysis | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$20
Additional Query
(+ 2 Days)
+$20
Query Optimization
(+ 2 Days)
+$20
Query Scheduling
(+ 2 Days)
+$20
Query Analysis
(+ 2 Days)
+$20
Source Code
(+ 2 Days)
+$20About Mehmet
Full Stack Software Developer
Istanbul, Turkey - 2:34 am local time
I design the control panels and devices in the bridge simulator systems using Qt-QML, and I perform backend operations using C++.
I created my own project called healthcare automation. I used .NET and SQL here.
Steps for completing your project
After purchasing the project, send requirements so Mehmet can start the project.
Delivery time starts when Mehmet receives requirements from you.
Mehmet works on your project following the steps below.
Revisions may occur after the delivery date.
Access & Requirements
Receive database credentials, query list, and schema from client. Confirm current performance issues and expected outcome.
Analysis
Review database structure, indexes, and existing queries. Identify bottlenecks or slow queries.