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Today, we're going to talk about the new psycopg driver for Python. We're also going to talk about pipeline mode in psycopg andĀ ... In episode 12, we talk about tidying up with VACUUM. We look at autovacuum_vacuum_cost_delay, autovacuum_max_workers,Ā ... In today's episode 11 of our series, we are taking a look at the MERGE command and how it differs from the INSERT ONĀ ... Today, I want to talk about the pg_stat_io view and the everyday DBA perspective on why it matters. We'll go through trackingĀ ... Today, we're gonna talk about network latency, how it impacts your query performance and how to improve it by using pipelineĀ ... In this episode, we talk about PostGIS versus GPU performance for spatial queries and also take a look at using HammerDB andĀ ...
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5mins of Postgres E36: Optimizing query throughput in Python using pipeline mode and psycopg 3.1
5mins of Postgres E12: The basics of tuning VACUUM and autovacuum in Postgres
5mins of Postgres E11: MERGE in Postgres 15, and how it compares to INSERT ON CONFLICT
5mins of Postgres E24: Tuning Postgres statistics target, understand selectivity for spatial indexes
PostgreSQL in 100 Seconds
5mins of Postgres E29: Lock conflicts on Aurora, max_standby_streaming_delay & hot_standby_feedback
5mins of Postgres E26: New in Postgres 15 - NULL handling in UNIQUE constraints & Parallel DISTINCT
5mins of Postgres E57: The new pg_stat_io view in Postgres 16 and the everyday DBA perspective
5mins of Postgres E48: Benchmarking multi column, covering and hash indexes in Postgres
5mins of Postgres E32: Benchmark and improve query network latency using tc, COPY and pipeline mode
5mins of Postgres E53: Tracing Locks in Postgres using eBPF programs
5mins of Postgres E61: Collations in Postgres
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Last Updated: June 12, 2026
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