Explore tweets tagged as #postgres
An advanced standalone job scheduler for #PostgreSQL, offering many advantages over traditional schedulers such as cron and others. #golang
https://t.co/GIeAf4aaKA
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Greg Sabino Mullane (@turnstep): Postgres 18 New Default for Data Checksums and How to Deal with Upgrades
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This is one of those deceptively simple yet critical lessons in scaling Postgres i.e. understanding that connections are not cheap. Each connection is a full OS process (~10MB memory, separate backend, context switches), so blindly opening hundreds or thousands kills throughput
Postgres has a process-per-connection architecture. Therefore, you should use a connection pooler whenever possible. Connection poolers sit between the app and database. They maintain a pool of connections and dynamically map incoming requests to to them. PgBouncer is the most
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Speed up your database massively! Learn👇 -How Postgres stores data in blocks -Why sequential scans get slow fast -How B-tree indexes speed up lookups -Spinning up Postgres + Cursor with Docker + more! Full video here 👉 https://t.co/bVnJa021WN
#coding #engineering
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Absurd Workflows: Durable Execution With Just Postgres https://t.co/TXRIg9I285
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☁️ 🐘 Learn how to manage complex cloud environments with #Coroot Co-Founder Peter Zaitsev’s keynote at Prague PostgreSQL Developer Day! https://t.co/kGrqerYurm Join January 28th, 15:35–16:25 (GMT+1) to sharpen your cloud-native #postgres observability with topics such as #eBPF
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📣 Deal of the Day 📣 Dec 10 SAVE HALF on Just Use Postgres! and more: https://t.co/lein5U3CQK You probably don't need a collection of specialty databases. Just use Postgres instead! @denismagda #Postgres #PostgreSQL Written for application developers and database pros, this
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`prisma dev` makes local Postgres incredibly simple 🔥 Create, detach, and reuse - manage your databases like a pro! See the docs 👉 https://t.co/TQLTR6ctuM
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Postgres has an `age()` function to quickly get the age of a timestamp!
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What happens when you INSERT a row in Postgres? Postgres needs to ensure that data is durable while maintaining good write performance + crash recovery ability. The key is in the Write-Ahead Log (WAL). (1) Postgres receives the query and determines what data page to place it
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Learnt today: JSONB has hard limit of about 256MB in #Postgres !
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You can get a 2× speed boost in many APIs by replacing Python loops with database-level aggregation. Let Postgres count, sum and group for you bro. It was literally built for that
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