Request Details

Route
/api_complex GET
Timestamp
Sep 11, 2026 3:47 PM
Duration
302.3 ms
Status
200
Response Size
72 KB
Error
No

Performance Breakdown

Database
5.1% (5 queries)
View Rendering
8.0%
Application Logic
86.9%
Other Operations
0.0%
Total Operations
16
Slowest Operation
302.3 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 434.9ms 869.7ms 1304.6ms 1739.5ms

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 posts WHERE title LIKE ? AND content LIKE ? AND LOWER(title) LIKE ? AND UPPER(content) LIKE ? 10 ms 3.3%
SELECT * FROM posts WHERE title LIKE ? AND content LIKE ? AND LOWER(title) LIKE ? AND UPPER(content) LIKE ? 29 ms 9.6%
SELECT * FROM (SELECT users.id, users.name, users.email, COUNT(posts.id) as post_count FROM users LEFT JOIN posts ON users.id = posts.user_id WHERE users.active = ? GROUP BY users.id) as user_posts JOIN (SELECT user_id, COUNT(*) as comment_count FROM c... 17 ms 5.6%
home#api_complex 302 ms 100.0%
home#api_complex 302 ms 100.0%
home#api_complex 302 ms 100.0%
home#api_complex 302 ms 100.0%
home/index 36 ms 11.9%
posts/show 16 ms 5.3%
home/index 29 ms 9.6%
layouts/application 10 ms 3.3%
home/index 31 ms 10.3%
posts/show 17 ms 5.6%
UPDATE posts SET title = ?, content = ?, updated_at = ? WHERE id = ? 15 ms 5.0%
home#api_complex 302 ms 100.0%
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... 18 ms 6.0%