Common SQL Errors

PostgreSQL 40001 serialization_failure Error Explained

August 4, 2025

serialization_failure (SQLSTATE 40001) occurs when concurrent transactions conflict under Serializable or Repeatable Read isolation and PostgreSQL aborts one to keep data consistent.

Sign up for the latest in common SQL errors from the Galaxy Team!
Welcome to the Galaxy, Guardian!
You'll be receiving a confirmation email

Follow us on twitter :)
Oops! Something went wrong while submitting the form.

What is the serialization_failure error in PostgreSQL?

serialization_failure (SQLSTATE 40001) in PostgreSQL signals that your serializable or repeatable-read transaction conflicted with another concurrent transaction. Roll back, wait briefly, and retry the whole transaction to resolve the conflict.

Error Highlights

Typical Error Message

PostgreSQL serialization_failure

Error Type

Transaction Error

Language

PostgreSQL

Symbol

serialization_failure

Error Code

40001

SQL State

Explanation

Table of Contents

What is the serialization_failure error in PostgreSQL?

serialization_failure is PostgreSQL’s SQLSTATE 40001 error raised when a transaction running in Serializable or Repeatable Read isolation cannot be safely committed because another concurrent transaction changed overlapping data.

PostgreSQL rolls back the entire transaction so that the database remains logically identical to one that executed transactions in strict serial order.

Applications must catch the error, retry, or downgrade isolation.

What Causes This Error?

The error appears when PostgreSQL’s Serializable Snapshot Isolation engine detects a potential serialization anomaly, such as write skew or phantom reads, between two or more transactions.

Typical triggers include concurrent updates to the same rows, simultaneous inserts that would violate a unique key when visible together, and long-running read transactions that clash with writers.

How to Fix serialization_failure

Wrap business logic in a retry loop.

After catching SQLSTATE 40001, roll back, sleep with jitter, and re-execute the transaction. Most conflicts vanish on the first or second retry.

If strict serializability is unnecessary, switch the session to READ COMMITTED isolation or add SELECT … FOR UPDATE locks to serialize hot-row access explicitly.

Common Scenarios and Solutions

Financial ledgers that increment balances in parallel can collide.

Use UPDATE … SET balance = balance + X WHERE … FOR UPDATE to lock the row and retry on failure.

Bulk UPSERTs in multiple workers often overlap.

Split work by customer_id ranges or temporal partitions to reduce contention and the error frequency.

Best Practices to Avoid This Error

Keep serializable transactions short, touch only required rows, and commit quickly to shrink the conflict window.

Employ exponential back-off with jitter in retry logic to avoid thundering-herd retries that cause repeated failures.

Related Errors and Solutions

deadlock_detected (SQLSTATE 40P01) aborts a transaction when lock acquisition order cycles.

Resolve by locking objects in a consistent order.

unique_violation (SQLSTATE 23505) arises on conflicting inserts when using lower isolation. Add ON CONFLICT handling or unique index checks.

.

Common Causes

Related Errors

FAQs

Should I always retry after serialization_failure?

Yes. Retrying preserves serializability and usually succeeds quickly. Aborting the business operation risks data loss.

How many retries are safe?

Most applications succeed within 3-5 retries. Add a sensible cap and surface an error if the cap is exceeded.

Does lowering isolation harm data quality?

Read Committed avoids serialization failure but allows anomalies. Evaluate business rules before lowering isolation.

How does Galaxy help?

Galaxy’s AI copilot flags long transactions and suggests retry templates, while its built-in query history makes debugging failed retries easy.

Start Querying with the Modern SQL Editor Today!
Welcome to the Galaxy, Guardian!
You'll be receiving a confirmation email

Follow us on twitter :)
Oops! Something went wrong while submitting the form.

Check out some other errors

Trusted by top engineers on high-velocity teams
Aryeo Logo
Assort Health
Curri
Rubie Logo
Bauhealth Logo
Truvideo Logo