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Tagged #transactions

GuideTechnology

21 min read

SQL and PostgreSQL Fundamentals for Java Developers

Learn the SQL that backend developers use every day on PostgreSQL: tables and constraints, inserting, querying, joining and grouping data, transactions and isolation, indexes and query plans, and normalisation, with every statement run on a real PostgreSQL server.

GuideTechnology

16 min read

Design a Ticket Booking System Without Overselling

Design ticketing for concerts and matches where thousands of people want the same seats at the same moment: seat inventory modelling, holds with expiry, atomic all-or-nothing seat claims, idempotent payment and confirmation, what happens when payment succeeds after a hold expires, virtual waiting rooms for big on-sales, hot inventory, bots, failures and the invariant that a seat is never sold twice.

GuideTechnology

16 min read

Distributed Transactions: Two-Phase Commit, the Outbox Pattern and Sagas

How to keep data consistent when one business action spans a database and a message broker, or several services. Covers the dual-write problem, the transactional outbox and change data capture, two-phase commit and why it blocks, and sagas with compensating transactions, choreography versus orchestration, pivot steps and isolation anomalies, with a runnable saga.

GuideTechnology

16 min read

Transactions, Isolation Levels and Concurrency Control: Preventing Race Conditions

What goes wrong when many requests touch the same rows at once: lost updates, double booking, write skew, dirty and non-repeatable reads. Learn isolation levels, MVCC, atomic conditional updates, row locks, optimistic concurrency with versions, constraints, deadlocks and hot rows, with a runnable simulation and worked examples.

GuideTechnology

17 min read

Relational Databases and Data Modeling for System Design

How to model data for a system design: tables, primary and foreign keys, constraints, one-to-many and many-to-many relationships, normalisation and deliberate denormalisation, ACID transactions, choosing id formats, and designing the model around access patterns. Also covers connection pooling, the N+1 problem and safe schema changes.