mysql / mysql/mysql-server

Make the Slow Query Log available in the Performance Schema.

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Dominant language
C++
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Avg merge
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Description

Problem / use case

Today, MySQL can write slow queries to:

  • FILE
  • mysql.slow_log, when log_output=TABLE

These options work well as log destinations and are useful when users want to retain slow-query history.

However, for quick troubleshooting, they are less convenient:

File logs may require filesystem access.
mysql.slow_log grows until someone truncates or rotates it.
CSV log tables require retention management.
There is no bounded Performance Schema table for recent slow-query events.
This creates friction for DBAs, support engineers, cloud service teams, and monitoring tools that need quick access to recent slow-query activity through SQL.

Proposed behavior

When a query qualifies for the slow query log, MySQL can also store a row in performance_schema.slow_log, if the Performance Schema slow-log consumer is enabled.

Conceptually:

slow query event
-> existing slow-log rules
-> FILE, if log_output includes FILE
-> mysql.slow_log, if log_output includes TABLE
-> performance_schema.slow_log, if the PFS slow-log consumer is enabled}}

The new table should be:

  • Optional
  • Read-only
  • In-memory
  • Fixed-size
  • Automatically evicting old rows when full
  • Independent of log_output=TABLE
  • Intended for recent diagnostics, not long-term retention

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No files or tests are named. Start by tracing the existing slow-log rules and the Performance Schema consumer configuration, then determine where a bounded in-memory table fits. Done means an optional, read-only, fixed-size performance_schema.slow_log independently captures qualifying events and evicts old rows when full.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp, mysql
Domain
databases, observability
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
35/100

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