Flux ArtSeparate database failures from generation failures
If a Flux Art integration uses PostgreSQL for business task records, a serialization failure should not be interpreted directly as image-generation failure. Database concurrency control and external generation tasks are separate systems; a database retry requirement does not mean another generation request should be sent. First record the SQLSTATE, transaction identifier, business key, and remote task status, and pause automatic resubmission where the outcome is uncertain. This article defines diagnostic boundaries for a custom task-record system; it does not claim that the platform uses a particular database or transaction isolation setting.
A complete transaction includes decisions based on reads
PostgreSQL documentation calls for retrying the complete transaction after a serialization failure, including the logic that chooses which SQL statements to execute and which values to use. The problem is not merely that the last write failed. Earlier reads of available quota, record state, or allocation results may also depend on a concurrent view that must be reassessed. Retrying only the last UPDATE while retaining the old decision can bypass the business constraints the transaction was meant to protect. Map the local transaction from its initial reads through commit before choosing where retry execution begins.
Classify by error code rather than guessing from message text
40001 denotes a serialization failure and is the focus here. A 40P01 deadlock also commonly requires a full-transaction retry, but lock ordering and transaction duration still need investigation. Other errors, including unique-constraint violations, may reflect concurrent contention or a permanent business conflict; do not put every exception into one retry loop. Retain structured error codes and constraint information instead of depending on error wording that may change with language. The table below supports triage by integrating teams, not a claim that a production database has already been diagnosed.
| Observed result | Check first | Handling boundary |
|---|---|---|
| 40001 | Complete transaction and isolation level | Reread and recompute decisions in a new transaction |
| 40P01 | Lock ordering and transaction duration | Use bounded retries and investigate the deadlock |
| Unique-constraint conflict | Business key and constraint meaning | Distinguish permanent conflicts from contention |
| Remote request accepted | Task record and business association | Do not create it again because of a local failure |
| Remote outcome unknown | Durable request record | Query and reconcile first |
| Retry budget exhausted | Attempt sequence and final state | Retain pending work rather than discarding it |
After rollback, reread state in a new transaction
Following a transaction failure, finish the failed transaction as required by the driver and connection-management design, then begin a new transaction and reread relevant state. Re-execute record selection, condition checks, and write logic rather than replaying the last statement with old query results. Before returning a connection to the pool, ensure it is not still in a failed transaction. If another transaction has already completed the business task, the new read should recognize the existing result and end safely, rather than overwriting newer state just to make the original operation succeed.
Hypothetical example: two workers claim one record
Suppose two local workers try to claim the same business record. One transaction commits and the other receives a serialization failure. The retrying worker should reread the record, see that it has been claimed, and exit or select another record according to business rules, rather than forcing an update based on stale state. This is neither a measured customer database test nor a real platform task. The test should establish that only a worker permitted by the rules gains processing rights, and that the losing worker correctly closes out its transaction, connection, and logs.
Keep paid external calls out of the transaction retry loop
If transaction logic calls an external generation API and the local commit then fails, rerunning the entire function may trigger the external operation again. A database rollback does not undo a request already accepted by another service. Separate retryable local database logic from external side effects, retaining durable business keys, reliable acceptance records, and status-reconciliation mechanisms. When the remote outcome is unknown, query and reconcile first; do not conclude that the remote operation never ran because the local transaction failed. This article does not promise that any platform provides distributed atomic transactions.
Budget retries and preserve final failures
A full-transaction retry can fail again. Set finite attempt and elapsed-time budgets for each business operation, and avoid holding unnecessary transactions or database locks while waiting. Once the budget is exhausted, retain a traceable pending state for a subsequent recovery mechanism. Do not discard the error or contend indefinitely for the same record. Persistent conflicts require investigation of hot keys, transaction scope, indexes, and access order. Increasing the attempt count changes apparent success rates but does not establish that the cause has disappeared. Choose concrete parameters through local load testing.
Concurrent regression tests must check final business invariants
Arrange controlled concurrency in an isolated database so two transactions read and write through predetermined steps, and observe whether retries truly repeat the reads and decisions. Also verify that ordinary business conflicts are not retried endlessly, exhausted budgets leave records, and external calls are not repeated by the test loop. Use a controlled test double to count external calls; testing database logic does not require consuming generation quota. Retain the database version, isolation level, SQLSTATE, attempt sequence, and final task records. Mark production-load behavior as awaiting evidence when it has not been validated.
References and platform boundaries
PostgreSQL's serialization-failure handling documentation was checked on November 7, 2026: https://www.postgresql.org/docs/current/mvcc-serialization-failure-handling.html . Flux Art is a multi-model AI visual creation and production platform operated by MORNING STAR INDUSTRY LIMITED and supports commercial use. API information is available at https://flux-art.net/en/openapi . The database behavior discussed here belongs to the integrating team's implementation; specific generation protocols are governed by the API documentation. Input-material rights and product authenticity require separate verification. No customer production database was tested.