PostgreSQL error 53000 occurs when the server cannot allocate necessary memory, disk space, or connection slots. This typically happens during large queries, bulk operations, or when system resources are exhausted, and requires adjusting configuration parameters or freeing up resources.
PostgreSQL raises error code 53000 (insufficient_resources) when the server cannot obtain the memory, disk space, temporary file capacity, or connection slots required to execute a query, create an index, or open a new session. This error indicates that a resource limit has been hit, preventing the current operation from completing. The exhausted resource could be work memory for sorting, temporary file space, available connections, or operating system-level constraints.
The error message in the PostgreSQL log typically includes details about which resource was exhausted. Look for lines mentioning:
- Memory context (e.g., "memory exhausted")
- File path or disk (e.g., "/path/to/data" or temp file location)
- Connection count or locks
On Linux:
sudo tail -100 /var/log/postgresql/postgresql-*.logOr check the server logs via the PostgreSQL client:
SELECT * FROM pg_read_file('/var/log/postgresql/postgresql.log', 0, 1000000);Based on the server log, determine which resource failed:
Memory Issue: Look for "out of memory" or memory context references
Disk Issue: Look for "No space left on device" or temp file path references
Connection Limit: Error occurs during login, check max_connections
Lock Limit: Look for "max_locks_per_transaction" in the error
This determines which fix to apply.
If the error mentions sort or hash operations consuming memory:
# Connect to PostgreSQL and check current setting
psql -U postgres -d yourdb -c "SHOW work_mem;"Edit /etc/postgresql/*/main/postgresql.conf (path varies by OS/version):
# Increase from default 4MB to match your workload
work_mem = 64MB # for medium queries
# or
work_mem = 256MB # for larger operationsReload the configuration without restarting:
sudo systemctl reload postgresql
# or
psql -U postgres -c "SELECT pg_reload_conf();";If the error mentions max_locks_per_transaction:
psql -U postgres -d yourdb -c "SHOW max_locks_per_transaction;"Edit /etc/postgresql/*/main/postgresql.conf:
# Default is 64, increase for bulk operations
max_locks_per_transaction = 256Note: This requires more shared memory, so you may need to increase shared_buffers as well. Reload:
sudo systemctl reload postgresql
# or
psql -U postgres -c "SELECT pg_reload_conf();";Alternatively, break large transactions into smaller chunks to use fewer locks at once.
Check available disk space:
df -h /var/lib/postgresql
du -sh /var/lib/postgresql/*/main/If space is low:
Option 1: Clean up old data
-- Identify and archive old records
VACUUM FULL; -- Reclaim dead space
VACUUM ANALYZE; -- Update statisticsOption 2: Expand the disk
Add a new disk and create a tablespace:
CREATE TABLESPACE space_name LOCATION '/path/to/new/disk';
ALTER TABLE tablename SET TABLESPACE space_name;If error occurs during login:
psql -U postgres -d postgres -c "SHOW max_connections;"Edit /etc/postgresql/*/main/postgresql.conf:
# Default is 100
max_connections = 200PostgreSQL requires a full restart for this parameter:
sudo systemctl restart postgresqlConsider using a connection pooler (pgBouncer, PgPool-II) instead of raising this value too high, as each connection consumes memory.
If the system is under overall memory pressure and you're getting frequent OOM errors:
SHOW work_mem; -- Current setting
SHOW shared_buffers; -- Current settingIf these are set too high for your available RAM, reduce them:
# Typical tuning:
shared_buffers = (Total RAM / 4) # e.g., 8GB for 32GB system
work_mem = (Total RAM / (max_connections * 2)) # distribute memoryEdit and reload:
sudo systemctl reload postgresqlThis trades some performance for stability on memory-constrained systems.
Error code 53000 is in the "Insufficient Resources" class (SQLSTATE 53xxx). PostgreSQL also raises related errors like 53200 (out_of_memory). Operating system-level resource limits can also trigger this errorโcheck your system's ulimit settings and cgroup memory limits in containerized environments (Docker, Kubernetes). Temporary tablespaces (used for sorts and hash tables) often fill up first; monitor temp_files metric in pg_stat_statements. For very large installations with many concurrent connections, consider implementing connection pooling (pgBouncer) which uses far less memory per client connection than direct PostgreSQL connections. In cloud environments (AWS RDS, Azure Database), resource limits may be enforced by the service; consult your provider's documentation for memory/disk scaling.
ERROR: syntax error at end of input
Syntax error at end of input in PostgreSQL
Bind message supplies N parameters but prepared statement requires M
Bind message supplies N parameters but prepared statement requires M in PostgreSQL
Multidimensional arrays must have sub-arrays with matching dimensions
Multidimensional arrays must have sub-arrays with matching dimensions
ERROR: value too long for type character varying
Value too long for type character varying
insufficient columns in unique constraint for partition key
How to fix "insufficient columns in unique constraint for partition key" in PostgreSQL