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audit-iteration

Testing & Quality
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Analyze concurrent iteration and view consistency guarantees

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Source SKILL.md: https://github.com/ben-manes/caffeine/blob/HEAD/.claude/skills/audit-iteration/SKILL.md

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Analyze the concurrent iteration and view behavior of the cache.

Assume at least one view operation can observe inconsistent state under concurrent modification. If your analysis yields zero findings, re-examine expired-but-present entries and dead/retired node visibility — explain specifically why no user-observable inconsistency is possible.

View operations to analyze:

  • asMap().entrySet/keySet/values() iteration
  • asMap().forEach()
  • asMap().size()
  • asMap().containsValue()
  • Snapshot operations (policy().eviction().hottest/coldest)

For each:

  1. What consistency guarantee? (Snapshot? Weakly consistent? Sequentially consistent?)
  2. Can iteration observe:
    • A retired or dead node?
    • An entry whose key/value has been garbage collected?
    • An expired but not-yet-cleaned-up entry?
    • A node with inconsistent key/value (key from one version, value from another)?
  3. Can concurrent put/remove/compute cause the iterator to:
    • Skip an entry that existed for the entire iteration?
    • Return the same entry twice?
    • Throw ConcurrentModificationException?
  4. Does wrapping ConcurrentHashMap iterators introduce issues CHM wouldn't have?

For each issue: construct a concrete interleaving and state whether it violates the documented contract or is expected weakly-consistent behavior.