Neues vom PostgreSQL Planet

Last week I ported Apache Cloudberry to PostgreSQL 19 as a set of extensions and described where the port falls behind the original fork. On ClickBench, columnar engines beat it by an order of magnitude. The culprit isn’t the MPP implementation but PostgreSQL’s executor, which works on rows. Each row travels up the node tree on its own, every value goes through fmgr, and the cluster’s segments merely add more processors running the very same loop over table rows.

Dive deeper into connection pooling with five more PostgreSQL poolers: Odyssey, pgagroal, Supavisor, PgDoorman, and ProxySQL, plus where your cloud already… (I consult on PostgreSQL through PGX Inc..)

This is part 2 of a series about Postgres logical replication use-cases, and about how the feature set has evolved over the past ten years and ten releases, one architecture at a time. Part 1 built a hub-and-workers system for write scalability and has the table of what each release added, which this post assumes. Part 3 covers a zero-downtime major upgrade.

The `notify_buffers` GUC tunes a 128kB cache for PostgreSQL's LISTEN/NOTIFY queue—and almost never matters. (I consult on PostgreSQL through PGX Inc..)

Last week I compared UUIDv4 and UUIDv7 as primary keys. There is a third case I left out: the key is a UUID, but the column is text. Some ORMs and JSON-first codebases end up there because a string is the easy path.

So I kept the same test and changed only the column type. 5 million rows, UUIDv7 and UUIDv4, each stored as uuid and as text. Short answer: the text index was 88% bigger, one level deeper, and every random lookup read one more page.

Setup

Same as last time. One table per run:

Two EXPLAIN ANALYZE runs on statistically identical data produced opposite plans, 73 heap blocks against 3,449. The margin was 1.5%. Here's the mechanism, measured with ExoBench, and the index shape that takes the coin out of the planner's hand.

My tool tells you things like “this index cuts the query’s cost by 91%”. Before releasing it, I wanted to know what that number is actually worth.

The tool is PgLens, a Postgres index advisor I’m building. Like several other advisors, it checks each suggestion with HypoPG: create a hypothetical index, run EXPLAIN again, and keep the suggestion if the planner’s estimated cost drops by at least 15%.

PostgreSQL connection poolers lie to both sides of the wire: your app thinks it has thousands of connections while the database sees dozens. (I consult on PostgreSQL through PGX Inc..)

pgvector 0.8.7 fixes CVE-2026-103484: a database user who can create an IVFFlat index can write out of bounds in the backend, which can lead to arbitrary code execution. Every version through 0.8.6 is affected. Upgrade. That part is simple. Two other parts are not: who can actually reach the bug,… (I consult on PostgreSQL through PGX Inc..)

On 29 September, the PostgreSQL Usergroup NL met, organized by Gerard Zuidweg and Sebastiaan Mannem

Speakers:

• Peter Lengkeek
• Ellert Van Koperen
• Jan Karremans

The Postgres US Summit 2026 was held from 30 September to 2 October.

Organizers:

When one long transaction holds row locks on thousands of parents, multixact cache misses can tank insert throughput. (I consult on PostgreSQL through PGX Inc..)

`min_wal_size` sets a floor under WAL recycling, not a retention policy—confusing many operators who lose standbys when the floor causes segments to be… (I consult on PostgreSQL through PGX Inc..)

List-partitioning by tenant under row-level security, measured in PostgreSQL 17 and 18: 100, 1,000 and 3,000 partitions, planning, locks, adding a tenant.

Parallel scans need a minimum table or index size to be considered—but that minimum also sets the bottom rung of the ladder the planner climbs to decide how…

PgBouncer 1.26.0 patches three CVEs, two triggerable without authentication.

What is Direct I/O, and why would a managed Postgres care about it when taking a backup? Every day, a backup copies your whole database, hundreds of gigabytes, off the same NVMe drives that are answering your queries, and ships it to object storage. Linux treats those reads like any other file read: it keeps a copy of every byte in memory, in the page cache, in case someone asks for it again. Nobody will. To make room for those copies, the kernel throws out data Postgres had in memory and was about to use, and the next query that needs it goes to disk instead.

PostgreSQL 18 added md5_password_warnings to suppress deprecation notices about MD5 passwords—but it only warns when setting them, not when using them.

In this post, I walk through integrating JFrog Artifactory with Fujitsu Enterprise Postgres and using Transparent Data Encryption to encrypt the Artifactory metadata stored in the database.

Last week we had our September PostgresEDI meetup, the first since postgres.scot went up as the home for Postgres events in Scotland.

Two BM25 optimizations and benchmark configuration changes inspired by PlanetScale's TIN benchmarks make ParadeDB's text search faster without changing its document identifiers.