Request Details

Route
/slow GET
Timestamp
Sep 19, 2026 6:17 AM
Duration
298.96 ms
Status
201
Response Size
210 KB
Error
No

Performance Breakdown

Database
11.2% (8 queries)
View Rendering
11.0%
Application Logic
77.8%
Other Operations
0.0%
Total Operations
20
Slowest Operation
298.96 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 384.2ms 768.4ms 1152.6ms 1536.8ms

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
home#slow 299 ms 100.0%
layouts/application 6 ms 2.0%
SELECT id, name, email FROM users WHERE id = ? 23 ms 7.7%
SELECT * FROM users WHERE id = ? 13 ms 4.3%
users/index 11 ms 3.7%
SELECT * FROM users WHERE id = ? 28 ms 9.4%
home/index 27 ms 9.0%
SELECT COUNT(*) FROM comments WHERE post_id = ? 22 ms 7.4%
users/index 24 ms 8.0%
posts/show 35 ms 11.7%
home/index 12 ms 4.0%
home#slow 299 ms 100.0%
SELECT users.* FROM users LEFT JOIN posts ON users.id = posts.user_id LEFT JOIN comments ON posts.id = comments.post_id WHERE users.active = ? AND posts.published = ? AND comments.approved = ? OR users.created_at > ? AND posts.created_at > ? AND commen... 22 ms 7.4%
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... 1 ms 0.3%
users/index 27 ms 9.0%
SELECT * FROM posts WHERE created_at > ? 31 ms 10.4%
home#slow 299 ms 100.0%
users/index 27 ms 9.0%
home#slow 299 ms 100.0%
SELECT * FROM posts WHERE title LIKE ? AND content LIKE ? AND LOWER(title) LIKE ? AND UPPER(content) LIKE ? 32 ms 10.7%