Unveiling the Truths of Database Transactions: Myths, Surprises, and Opportunities
This article is a summary of a YouTube video ""Transactions: myths, surprises and opportunities" by Martin Kleppmann" by Strange Loop Conference
TLDR Understanding the principles of ACID and durability can help guarantee consistency in database transactions.
Database transactions can be tricky, but understanding the principles of ACID and durability can help guarantee consistency.
ACID's C doesn't have the same structure or properties as the other letters, Atomicity refers to how faults are handled, and Transactions allow multiple mutations to be wrapped in one logical unit.
Read Committed prevents dirty reads and writes, but race conditions like read skewed can still occur, so it's important to consider them when writing an application.
Read skew can be prevented with locks (repeatable read) or multi-version concurrency control (snapshot isolation) to ensure a transaction only sees the database as it was at one point in time.
H Store and Postgres developed techniques to implement serializability without two-phase locking, executing transactions within 100 microseconds and using a similar transaction commit principle as Multi B John hug.
For distributed services, people use compensating transactions to avoid the brittleness of two-phase commit.
Compensating transactions and eventual consistency can help us reason logically about data in a microservices world, while still obeying causality and read committed.
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