Request Details

Route
/error_prone GET
Timestamp
Sep 15, 2026 11:19 PM
Duration
32.31 ms
Status
200
Response Size
6.6 KB
Error
No

Performance Breakdown

Database
39.1% (7 queries)
View Rendering
30.8%
Application Logic
30.1%
Other Operations
0.0%
Total Operations
13
Slowest Operation
40.0 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 80.5ms 161.0ms 241.4ms 321.9ms

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 31.0%
layouts/application 38 ms 117.6%
SELECT * FROM users WHERE id = ? 33 ms 102.1%
users/index 21 ms 65.0%
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... 1 ms 3.1%
home#errors 32 ms 100.0%
layouts/application 40 ms 123.8%
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... 34 ms 105.2%
home#errors 32 ms 100.0%
SELECT posts.* FROM posts WHERE title LIKE ? OR content LIKE ? 10 ms 31.0%
home#errors 32 ms 100.0%
SELECT users.*, COUNT(DISTINCT posts.id) as post_count, COUNT(DISTINCT comments.id) as comment_count, SUM(posts.view_count) as total_views, AVG(posts.view_count) as avg_views, MIN(posts.created_at) as first_post, MAX(posts.created_at) as latest_post FR... 7 ms 21.7%
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... 31 ms 96.0%