AI-generated analysisPublished automatically and not human-verified. Validated context appears in community notes below.
← Watch feed
Informational 18 Bitcoin

bookkeeper: don't flood logs if we have many channelmoves all at once.

Public commit record

What the developer wrote

Authored by Rusty Russell

73/100 · Adequate
bookkeeper: don't flood logs if we have many channelmoves all at once.

Since we're synchronous, these only reach lightningd after we're done:
in the case of 1.6M channelmoves, that can give it major heartburn.

In practice, this reduces the first bkpr command on a fresh upgrade
from 349 to 235 seconds (but this was before other improvements we did
this release).

Signed-off-by: Rusty Russell <rusty@rustcorp.com.au>
Changelog-Changed: Plugins: `bookkeeper` reduced logging for large imports to increase speed.
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context
The short version

What changed, and why it matters

This commit is a performance improvement, not a security fix. It changes the bookkeeper plugin so that when it processes a very large number of channel movements at once, it only writes detailed debug logs for the first and last one instead of every single one. This reduces log flooding and speeds up the first bookkeeper command after an upgrade. There is no indication this change addresses a vulnerability or security flaw.

Recommended action

No security action required. Treat as a normal performance improvement. If reviewing for release notes, note it as a user-facing performance improvement for large bookkeeper imports.

Security signals we found

01

No security-relevant signals present in commit message or diff

02

Performance optimization only: reduces debug log volume

03

No changes to authorization, validation, cryptography, or memory safety

04

No incident or vulnerability disclosure referenced

Risk score

Why this scored 18/100

Our methodology →
Potential impact 2/30
Exploitability 0/25
Stealth signal 1/15
Affected reach 2/15
Confidence 9/10
Evidence quality 4/5
Human-validated context

Community notes

Notes can correct, qualify, or add evidence to the AI analysis. Every note shown here has been validated by a human moderator.

No validated notes yet.

The AI analysis stands alone for now. Submit a note if you can add evidence or important context.