Improve app performance through pipelining queries to Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL
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This article explains how to use PostgreSQL pipeline mode to improve application performance by reducing network latency when querying Amazon RDS for PostgreSQL and Aurora PostgreSQL.
- Pipeline mode batches multiple queries into single network round trip instead of separate trips
- Reduces network latency from 10 seconds to 0.2 seconds in example with 50 queries
- Requires switching connection to pipeline mode using Psycopg3's Connection.pipeline() method
- Multiple operations queued on client side until sync() establishes synchronization point
- Results received in batches when server flushes output buffer
- All statements wrapped in implicit transaction; errors invalidate subsequent statements
- Not suitable for queries requiring results from previous operations
- Requires adequate memory resources on both client and server
- Only supports asynchronous operations using extended query protocol
PostgreSQL pipeline mode offers significant performance improvements for batch query workloads, but requires careful evaluation and adequate resources before production deployment.
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