~postgresweekly | Issue 551 - Early excitement for Postgres 17 (10)

The Postgres 17 Features I'm Most Waiting for — It’s still several months away, but Postgres 17 is shaping up to be yet another great release. A lot of items in today's issue are about Postgres 17 – everyone's getting excited!

📊 Ten Years of Improvements in Postgres's Optimizer — “I decided to run the join order benchmark (JOB)1 on PostgreSQL 8 through 16. I recorded the 90th percentile query latency for each database version.”

Improve Postgres Performance and Reduce Costs with OtterTune — Automatically tune and optimize knobs, plus get index and query recommendations, along with table and autovacuum insights. Customers have improved performance over 90% and saved thousands of dollars in database labor costs. Do a free, 30-day trial.

Supabase Declares 'General Availability' — I hadn’t noticed Supabase has been rocking ‘beta’ all this time, but the Postgres, auth, realtime, and edge functions platform has decided – some 1 million databases into their journey – that now they’re ready for anything!

Postgres Roles and Privileges — A follow along, tutorial style, guide to understanding how roles and privileges work.

Use Cases for Merging and Splitting Partitions with Minimal Locking in Postgres 17 — Some interesting new capabilities regarding managing partitioned tables are coming to Postgres 17.

Improved Query Cancellation in Postgres 17 and Psycopg 3.2 — Postgres 17 will gain some improved query cancellation capabilities and Python users will hopefully be able to take advantage from day one.

Vasco: MIC & MINE Statistics Extension — Maximal information coefficient (MIC) and maximal information-based nonparametric exploration (MINE) are statistical measures that can be used to explore multi-dimensional datasets and find important relationships within them.

Postgres + SQLite = pglite? — Not to be confused with the PGlite WASM build of Postgres, this is a quick Go-powered proof of concept to put the Postgres wire protocol in front of SQLite.

trdsql: Tool to Execute SQL Queries Upon Text-Based Data — A CLI tool that can execute SQL queries (in Postgres or MySQL syntax) on CSV, LTSV, JSON, YAML and TBLN files. It can also be used as a library within Go apps.