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Databases & messaging · #postgresql
Knex wraps transactions in a trx object, but atomicity only holds if every query inside uses it. The failure mode, a funds-transfer example, and how to check your code.
Stop hopping between IDE and database client. IntelliJ’s Database Tool Window lets you connect, query, edit, and migrate databases right in the editor. Discover how to set it up, run a real query against PostgreSQL, and weigh the pros and cons before you commit.
Learn how a BRIN index can speed up range scans on append‑only PostgreSQL tables, when it helps, and what maintenance it needs.
A concise architecture note for running Mattermost with a PostgreSQL‑backed message store in a clustered HA deployment, covering requirements, minimal design, trust boundaries, ops checks, and failure‑mode triggers.
Configure Railway deploy hooks to execute database migration scripts automatically after deployment, ensuring schema synchronization without manual intervention.
IntelliJ IDEA’s Database Tools let you add PostgreSQL data sources, run SQL queries with auto‑completion, and export results—all inside the IDE. Follow a quick setup guide, see a concrete example, and learn the trade‑offs before you dive in.
Learn how a BRIN index can cut query time and storage for ordered timestamp data, with a concrete example and practical trade‑offs.
Stop relying on API filters for data isolation. Learn how to use Supabase Row Level Security (RLS) to enforce multi-tenant boundaries directly in your PostgreSQL schema.
Partitioning large tables in PostgreSQL lets you split data into manageable pieces, prune queries, and simplify maintenance. This guide walks through the declarative syntax, shows a practical configuration, and highlights limits and mistakes to avoid.
nodejs
knexjs
intellij
mattermost
railway
supabase