Request Details

Route
/error_prone GET
Timestamp
Sep 22, 2026 9:56 PM
Duration
31.36 ms
Status
200
Response Size
7.9 KB
Error
No

Performance Breakdown

Database
31.0% (6 queries)
View Rendering
34.9%
Application Logic
34.2%
Other Operations
0.0%
Total Operations
18
Slowest Operation
35.0 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 114.7ms 229.4ms 344.1ms 458.8ms

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#errors 31 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... 24 ms 76.5%
home#errors 31 ms 100.0%
SELECT * FROM posts WHERE created_at > ? 27 ms 86.1%
SELECT * FROM users WHERE id = ? 34 ms 108.4%
posts/show 13 ms 41.5%
home#errors 31 ms 100.0%
home/index 35 ms 111.6%
home#errors 31 ms 100.0%
home/index 24 ms 76.5%
posts/show 23 ms 73.3%
home/index 28 ms 89.3%
home#errors 31 ms 100.0%
SELECT * FROM comments WHERE post_id = ? ORDER BY created_at DESC LIMIT ? 28 ms 89.3%
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 47.8%
users/index 25 ms 79.7%
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... 14 ms 44.6%
users/index 12 ms 38.3%