#620 — October 16, 2025 |
|
Postgres Weekly |
![]() |
Benchmarking Postgres 17 vs 18 — The author conducted a series of detailed performance benchmarks between Postgres 17 and 18, in some 96 combinations, and reassuringly finds that Postgres 18 gives us a nice performance bump, local disks rule, and tweaking your settings is still worthwhile. Ben Dicken (PlanetScale) |
![]() How note․com Implements Just-in-Time (JIT) Database Access Control — note.com, the leading C2C creator platform in Japan, replaced an in-house GitHub Actions + SSH proxy flow for ad-hoc Aurora Postgres access with Bytebase’s just-in-time (JIT) access control. Bytebase sponsor |
A Postgres Trip Report from PGConf NYC 2025 — PGConf NYC 2025 took place two weeks ago and was a big success. Claire, well known for her Talking Postgres podcast, spills the tea on what happened at the event and shares lots of great photos too. Claire Giordano (Microsoft) |
🌆 The EDB Team also recapped the main threads of PGConf NYC. |
IN BRIEF: |
![]() |
|
Exploring Postgres 18's New UUIDv7 Support — Unlike with UUIDv4, UUIDv7 values are monotonic and time-sortable, which presents some advantages. Fridriksson and Miller (Aiven) |
📄 From Text to Token: How Tokenization Pipelines Work James Blackwood-Sewell 📄 Understanding and Setting Postgres JDBC Fetch Size Shane Borden |
RELEASES AND CODE: |
![]() |
pqr.sql: Generate QR Codes with Pure SQL in Postgres — A cute idea which probably has some non-obvious use case. Though it does take several hundred lines of SQL to pull off. Tanel Põder |
PGSync 5.0: Postgres to ElasticSearch/OpenSearch Syncing — Middleware that captures changes from your database and writes structured documents to your search cluster. Originally for Postgres only, v5.0 adds MySQL/MariaDB support too. GitHub repo. Tolu Aina |
Sanitizing SQL with SQL — A proof-of-concept PL/pgSQL function that can take raw SQL and return a sanitized version minus any personally identifiable information. Jeremy Schneider |
pg_qualstats: Extension for Collecting Statistics About Predicates — Analyze the most often used predicates in queries against your database, perhaps as a way to create the most effective indexes possible. Part of the POWA (Postgres Workload Analyzer) project. Powa Team |
|