Request Details

Route
/error_prone GET
Timestamp
Sep 22, 2026 7:35 PM
Duration
28.7 ms
Status
201
Response Size
6.1 KB
Error
No

Performance Breakdown

Database
27.6% (7 queries)
View Rendering
35.7%
Application Logic
36.6%
Other Operations
0.0%
Total Operations
20
Slowest Operation
39.0 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 117.6ms 235.1ms 352.7ms 470.2ms

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#errors 29 ms 100.0%
home#errors 29 ms 100.0%
home/index 39 ms 135.9%
layouts/application 20 ms 69.7%
SELECT id, name, email FROM users WHERE id = ? 23 ms 80.1%
home/index 24 ms 83.6%
SELECT * FROM users WHERE id = ? 23 ms 80.1%
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... 14 ms 48.8%
home#errors 29 ms 100.0%
layouts/application 11 ms 38.3%
home#errors 29 ms 100.0%
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... 29 ms 101.0%
home#errors 29 ms 100.0%
posts/show 21 ms 73.2%
layouts/application 33 ms 115.0%
home#errors 29 ms 100.0%
SELECT * FROM posts WHERE created_at > ? 20 ms 69.7%
SELECT * FROM comments WHERE post_id = ? ORDER BY created_at DESC LIMIT ? 6 ms 20.9%
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... 15 ms 52.3%
posts/show 20 ms 69.7%