FA-1486 / Concurrency / Open access

Resolve a prepared participant after recovery: Recovery commits a transaction with no durable prepare record · case 01

The prepared recovery operation is admitted even though recovery commits a transaction with no durable prepare record.

Verified by executionVariant 1 · 9 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

The admission path omits the prepare record invariant while validating the other operation preconditions.

THE FAILURE

The admission path omits the prepare record invariant while validating the other operation preconditions.

Unsuccessful approach: Adding the prepare record check repairs the reported defect, but replacing the adjacent decision consistent check loses that independent invariant.

Case contract

Return a Boolean admission decision for resolve a prepared participant after recovery. The record r must satisfy all of: r['decision_known'] in ['commit','abort']; r['transaction_identity'][0] == r['transaction_identity'][1]; r['prepare_record'] is True; r['decision_consistent'][0] is None or r['decision_consistent'][0] == r['decision_consistent'][1]; set(r['locks_retained'][0]) <= set(r['locks_retained'][1]). Extra tracing fields are ignored; validation does not mutate the record.

Why this case matters

A deterministic local contract for concurrency. Each negative fixture violates exactly one invariant. No transport timing, persistence, cryptographic verification, or full protocol implementation is claimed.

1 / The failure

Exit 1

"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(r):
    return (r['decision_known'] in ['commit','abort']) and (r['transaction_identity'][0] == r['transaction_identity'][1]) and (r['decision_consistent'][0] is None or r['decision_consistent'][0] == r['decision_consistent'][1]) and (set(r['locks_retained'][0]) <= set(r['locks_retained'][1]))
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
r = {'decision_known': 'commit', 'transaction_identity': ['t2', 't2'], 'prepare_record': True, 'decision_consistent': ['commit', 'commit'], 'locks_retained': [['k1'], ['k1', 'k2']]}
check('valid operation', solve(r), True)
check('An uncertain participant guesses commit without evidence', solve(dict(r, **{'decision_known': 'unknown'})), False)
check('Recovery applies another transaction decision', solve(dict(r, **{'transaction_identity': ['t1', 't2']})), False)
check('Recovery commits a transaction with no durable prepare record', solve(dict(r, **{'prepare_record': False})), False)
check('Recovery reverses a previously recorded final decision', solve(dict(r, **{'decision_consistent': ['abort', 'commit']})), False)
check('Prepared data becomes visible after losing its write locks', solve(dict(r, **{'locks_retained': [['k1'], ['k2']]})), False)
check('unrelated tracing metadata', solve(dict(r, trace='run-'+str(N))), True)
check('repeat validation is pure', solve(r), True)
invalid = {'decision_known': 'unknown', 'transaction_identity': ['t1', 't2'], 'prepare_record': False, 'decision_consistent': ['abort', 'commit'], 'locks_retained': [['k1'], ['k2']]}
keys = list(invalid)
pair = {keys[N % len(keys)]: invalid[keys[N % len(keys)]], keys[(N+1) % len(keys)]: invalid[keys[(N+1) % len(keys)]]}
check('two independent violations in variant', solve(dict(r, **pair)), False)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)

Boundary fixture	Actual	Expected	Outcome
valid operation	`True`	`True`	Passed
An uncertain participant guesses commit without evidence	`False`	`False`	Passed
Recovery applies another transaction decision	`False`	`False`	Passed
Recovery commits a transaction with no durable prepare record	`True`	`False`	Failed
Recovery reverses a previously recorded final decision	`False`	`False`	Passed
Prepared data becomes visible after losing its write locks	`False`	`False`	Passed
unrelated tracing metadata	`True`	`True`	Passed
repeat validation is pure	`True`	`True`	Passed
two independent violations in variant	`False`	`False`	Passed

SHA-256 / f330ee16905492f8011cf2b7ef07b17885f31ff8cc283dcf0d01cf68524ebef7

2 / The unsuccessful fix

Exit 1

"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(r):
    return (r['decision_known'] in ['commit','abort']) and (r['transaction_identity'][0] == r['transaction_identity'][1]) and (r['prepare_record'] is True) and (set(r['locks_retained'][0]) <= set(r['locks_retained'][1]))
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
r = {'decision_known': 'commit', 'transaction_identity': ['t2', 't2'], 'prepare_record': True, 'decision_consistent': ['commit', 'commit'], 'locks_retained': [['k1'], ['k1', 'k2']]}
check('valid operation', solve(r), True)
check('An uncertain participant guesses commit without evidence', solve(dict(r, **{'decision_known': 'unknown'})), False)
check('Recovery applies another transaction decision', solve(dict(r, **{'transaction_identity': ['t1', 't2']})), False)
check('Recovery commits a transaction with no durable prepare record', solve(dict(r, **{'prepare_record': False})), False)
check('Recovery reverses a previously recorded final decision', solve(dict(r, **{'decision_consistent': ['abort', 'commit']})), False)
check('Prepared data becomes visible after losing its write locks', solve(dict(r, **{'locks_retained': [['k1'], ['k2']]})), False)
check('unrelated tracing metadata', solve(dict(r, trace='run-'+str(N))), True)
check('repeat validation is pure', solve(r), True)
invalid = {'decision_known': 'unknown', 'transaction_identity': ['t1', 't2'], 'prepare_record': False, 'decision_consistent': ['abort', 'commit'], 'locks_retained': [['k1'], ['k2']]}
keys = list(invalid)
pair = {keys[N % len(keys)]: invalid[keys[N % len(keys)]], keys[(N+1) % len(keys)]: invalid[keys[(N+1) % len(keys)]]}
check('two independent violations in variant', solve(dict(r, **pair)), False)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)

Boundary fixture	Actual	Expected	Outcome
valid operation	`True`	`True`	Passed
An uncertain participant guesses commit without evidence	`False`	`False`	Passed
Recovery applies another transaction decision	`False`	`False`	Passed
Recovery commits a transaction with no durable prepare record	`False`	`False`	Passed
Recovery reverses a previously recorded final decision	`True`	`False`	Failed
Prepared data becomes visible after losing its write locks	`False`	`False`	Passed
unrelated tracing metadata	`True`	`True`	Passed
repeat validation is pure	`True`	`True`	Passed
two independent violations in variant	`False`	`False`	Passed

SHA-256 / 857cd0292306f1aa9fe5a17705f47ae578534cc6aab17fd9fe1c9c939010d92a

HELD IN THE MEMBER ARCHIVE

The verified repair and its recorded checks are member-only.

This mechanism has 9 recorded checks per implementation. The open-access tier publishes the failure and the unsuccessful fix; the repaired source that passes every check, and the observations that prove it, are available to members.

Every case sharing this mechanism uses the same contract and the same repair, so this one record is held back for all of them.

Member access is invitation-based. Sign in with your invited account to inspect the repair.

Verification & scope

This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.

Observations recorded using Python 3.12.14 at 2026-09-29T14:37:02.962759+00:00.

Case digest / 2f9feff76f708c5c0fd01d85d6094a5196f41e1c49a83dfe65bfcf3ade0d0dce