Error
Error Code:
40001
PostgreSQL Error 40001: Serialization Failure Transaction Rollback
Description
This error signifies that a database transaction has failed due to a serialization conflict. It occurs when concurrent transactions attempt to modify data in a way that violates the strict serializability requirements, leading PostgreSQL to roll back one of them to maintain data consistency and integrity.
Error Message
serialization failure
Known Causes
3 known causesHigh Concurrent Data Access
Multiple transactions attempting to read or modify the same set of data simultaneously, leading to contention.
Long-Running Transactions
Transactions that hold locks or maintain read consistency over extended periods, increasing the window for conflicts with other operations.
Complex Transaction Logic
Transactions involving numerous steps, updates across multiple tables, or intricate logic that creates more opportunities for serialization conflicts.
Solutions
4 solutions available1. Retry the Transaction easy
Serialization failures are expected - retry
1
Implement retry logic
import psycopg2
import time
def execute_with_retry(conn, query, params, max_retries=3):
for attempt in range(max_retries):
try:
with conn.cursor() as cur:
cur.execute(query, params)
conn.commit()
return True
except psycopg2.errors.SerializationFailure:
conn.rollback()
time.sleep(0.1 * (2 ** attempt)) # Exponential backoff
raise Exception('Max retries exceeded')
2. Use Lower Isolation Level medium
Consider if SERIALIZABLE is necessary
1
Check current isolation level
SHOW transaction_isolation;
2
Use READ COMMITTED (default)
BEGIN TRANSACTION ISOLATION LEVEL READ COMMITTED;
-- Your queries
COMMIT;
3
Or REPEATABLE READ
BEGIN TRANSACTION ISOLATION LEVEL REPEATABLE READ;
-- Your queries
COMMIT;
3. Reduce Transaction Scope medium
Smaller transactions have fewer conflicts
1
Keep transactions short
-- Bad: Long transaction
BEGIN;
SELECT * FROM accounts WHERE id = 1; -- Hold read lock
-- Long processing in application
UPDATE accounts SET balance = 100 WHERE id = 1;
COMMIT;
-- Good: Minimal transaction
-- Do processing outside transaction
BEGIN;
UPDATE accounts SET balance = 100 WHERE id = 1;
COMMIT;
4. Use SELECT FOR UPDATE advanced
Explicit locking can prevent serialization failures
1
Lock rows before update
BEGIN;
SELECT * FROM accounts WHERE id = 1 FOR UPDATE;
-- Now you have exclusive lock
UPDATE accounts SET balance = balance - 100 WHERE id = 1;
COMMIT;
2
Use FOR UPDATE NOWAIT to fail fast
SELECT * FROM accounts WHERE id = 1 FOR UPDATE NOWAIT;
-- Fails immediately if locked