Episodes on how best to scale your PostgreSQL relational database.
In this episode of Scaling Postgres, we discuss things I do not do such as use default partitions, play column Tetris, ELT using special data types or create 7+ millions tables in a database.
In this episode of Scaling Postgres, we discuss OrioleDB getting Postgres over 5 times faster, historical OLAP performance, efficient queries and whether you should us track_planning.
In this episode of Scaling Postgres, we discuss new releases, collation speed, ZFS performance, insert benchmarking and pglz vs. lz4 performance.
In this episode of Scaling Postgres, we discuss new Postgres releases and an out-of-band release to address issues, increasing insert performance by 2X, pg_search benchmarks and fast OpenStreetMap loading.
In this episode of Scaling Postgres, we discuss the read and write performance of Postgres on ZFS, handling URL text identifiers in the database, denormalization and a new pgvector release.
In this episode of Scaling Postgres, we discuss the future of Postgres upgrades, the usefulness of pg_dump, partitioning with minimal downtime and limitless Aurora.
In this episode of Scaling Postgres, we discuss whether you need a vectorizer, different ways to bin or bucket timestamps, addressing a bad plan and advanced psql.
In this episode of Scaling Postgres, we discuss pg_parquet allowing Postgres to read and write parquet files, other useful extensions, open source bounties, and Postgres gotchas.
In this episode of Scaling Postgres, we discuss the JSON goodies in Postgres 17, trigger recursion, pg_dump as backup and pg_timeseries columnar performance.
In this episode of Scaling Postgres, we discuss how one query runs 77 times faster in Postgres 17, a detailed Postgres 17 performance webinar, using logical replication fail over slots and a discussion on Patroni.
