ERROR: could not serialize access due to concurrent update
PostgreSQL Could Not Serialize Access Due to Concurrent Update – Explained
When multiple transactions try to modify the same data at the same time under the SERIALIZABLE or REPEATABLE READ isolation level, PostgreSQL prevents conflicts to maintain data consistency.
You’ll see this error:
ERROR: could not serialize access due to concurrent update
Why This Happens
-
Two concurrent transactions are modifying the same row.
-
Using
SERIALIZABLE
orREPEATABLE READ
isolation level. -
Application retries or updates without checking locks.
-
Long-running transactions holding row locks.
Fixes for PostgreSQL Could Not Serialize Access Due to Concurrent Update
1. Retry the Transaction Automatically
Serialization failures are transient — just retry the transaction:
BEGIN; -- your queries COMMIT; -- if fails, rollback and retry
2. Use a Lower Isolation Level (if safe)
Switch from SERIALIZABLE
to READ COMMITTED
:
3. Reduce Transaction Scope
Keep transactions short and specific to minimize lock contention.
4. Use FOR UPDATE Locks
Lock rows before updating:
SELECT * FROM table_name WHERE id = 1 FOR UPDATE;
This ensures only one transaction can modify that row at a time.
5. Detect Conflicts in Application Logic
Handle retry logic in your app (e.g., using retry loops in Python, Java, etc.).
Conclusion
At Learnomate Technologies, we’re here to support you every step of the way with top-notch training in PostgreSQL DBA and more.
For more detailed insights and tutorials, do check out our YouTube channel: www.youtube.com/@learnomate, where we regularly share practical tips and deep dives into essential database topics. And if you’re serious about mastering PostgreSQL DBA, head over to our website for our full training program: learnomate.org/training/postgresql-training/.
I’d love to connect with you, so don’t forget to follow my LinkedIn: https://www.linkedin.com/in/ankushthavali/. If you’re eager to read more about various technologies, explore our blog page here: https://learnomate.org/blogs/. Happy learning, and remember—tuning and training go hand-in-hand for database success!