Request Details

Route
/api_complex GET
Timestamp
Sep 19, 2026 7:33 AM
Duration
161.31 ms
Status
200
Response Size
17 KB
Error
No

Performance Breakdown

Database
8.3% (6 queries)
View Rendering
7.0%
Application Logic
84.7%
Other Operations
0.0%
Total Operations
21
Slowest Operation
161.31 ms

Request Trace

How to read this

Each row is a layer of your stack. Many short Database bars means N+1 queries — fix with includes(). A wide Action bar with little Database time means slow Ruby code. A wide View bar usually means a partial rendered in a loop.

Action
View
Database
Other
Action
View
Database
0.0ms 381.1ms 762.3ms 1143.4ms 1524.5ms

Operations

How to use this

Sort by Impact to find your biggest wins. Click any row for details and optimisation suggestions. The same SQL appearing multiple times is an N+1 — fix with includes(). A single operation above 50% impact is your highest priority.

Operation Duration Impact Timeline Actions
SELECT * FROM users WHERE id = ? 18 ms 11.2%
home#api_complex 161 ms 100.0%
posts/show 10 ms 6.2%
layouts/application 10 ms 6.2%
SELECT * FROM users LEFT JOIN posts ON users.id = posts.user_id LEFT JOIN comments ON posts.id = comments.post_id LEFT JOIN tags ON posts.id = tags.post_id LEFT JOIN categories ON posts.category_id = categories.id WHERE users.active = ? AND posts.publi... 30 ms 18.6%
SELECT id, name, email FROM users WHERE id = ? 13 ms 8.1%
home#api_complex 161 ms 100.0%
users/index 23 ms 14.3%
home#api_complex 161 ms 100.0%
SELECT * FROM users WHERE id = ? 26 ms 16.1%
home/index 38 ms 23.6%
home#api_complex 161 ms 100.0%
home#api_complex 161 ms 100.0%
posts/show 7 ms 4.3%
home#api_complex 161 ms 100.0%
home#api_complex 161 ms 100.0%
layouts/application 7 ms 4.3%
home#api_complex 161 ms 100.0%
SELECT * FROM users WHERE id = ? 33 ms 20.5%
users/index 12 ms 7.4%
SELECT users.*, posts.*, comments.*, COUNT(DISTINCT posts.id) as post_count, COUNT(DISTINCT comments.id) as comment_count, AVG(posts.view_count) as avg_views, MAX(comments.created_at) as latest_comment FROM users LEFT JOIN posts ON users.id = posts.use... 7 ms 4.3%