PostgreSQL Connection Pooling: PgBouncer
PostgreSQL Connection Pooling: PgBouncer
PostgreSQL Connection Pooling: PgBouncer
Tip: Install PgBouncer
[databases]
myapp = host=localhost port=5432
[pgbouncer]
pool_mode = transaction
max_client_conn = 500
default_pool_size = 25
Gotcha: Transaction Mode Limitations
In transaction mode, you can't use prepared statements or session-level variables.
Tip: Laravel Configuration
'host' => '127.0.0.1',
'port' => 6432, // PgBouncer port
Gotcha: Session Mode
Use pool_mode = session if your app needs session-level features.
Tip: Admin Console
psql -p 6432 -U pgbouncer pgbouncer
SHOW POOLS;
Monitor connection pool status.
Gotcha: Connection Limits
PgBouncer doesn't increase PostgreSQL's max_connections. It queues excess connections.
Tip: EXPLAIN (ANALYZE, BUFFERS) Is Your Best Friend
For query debugging, always use EXPLAIN (ANALYZE, BUFFERS) instead of plain EXPLAIN. The BUFFERS option shows hit/miss rates for every node, revealing whether your indexes are actually in memory.
Tip: Partial Indexes Are Underutilized
CREATE INDEX ON orders (status) WHERE status = 'pending' creates a tiny index that covers only the rows your query needs. It's faster to scan and cheaper to maintain than a full-column index.
Gotcha: NULL Sorting Is Non-Obvious
By default, NULLs sort AFTER non-null values in ascending order. ORDER BY col DESC puts NULLs FIRST. Use NULLS LAST or NULLS FIRST to be explicit.
Senior Insight
Connection pooling with PgBouncer is mandatory for any Laravel application serving more than a few concurrent users. PostgreSQL forks a process per connection, and beyond ~200 connections, the OS scheduler dominates performance. Transaction-level pooling in PgBouncer reuses connections efficiently, but it breaks session-level features like SET statements and LISTEN/NOTIFY. Always test your application with transaction pooling before assuming session-level features work.
Source: pganalyze Blog (https://pganalyze.com/blog), PostgreSQL Docs (https://www.postgresql.org/docs/current/), Crunchy Data Blog (https://www.crunchydata.com/blog)