Cover of Designing Data-Intensive Applications by Martin Kleppmann - Business and Economics Book

From "Designing Data-Intensive Applications"

Author: Martin Kleppmann
Publisher: "O'Reilly Media, Inc."
Year: 2017
Category: Computers

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Chapter 7: Transactions
Key Insight 3 from this chapter

ACID: Consistency and Isolation

Key Insight

Consistency, in the ACID definition, refers to an application-specific concept of the database being in a 'good state,' where certain invariants about the data must always hold true. For example, in an accounting system, credits and debits across all accounts must always balance. The idea is that if a transaction starts with a valid database state and its operations maintain these invariants, the database will remain consistent.

However, achieving this consistency largely depends on the application's correct definition and implementation of these invariants. The database itself cannot guarantee application-level consistency; it can only enforce specific constraints like foreign keys or uniqueness. If an application writes invalid data that violates its own invariants, the database generally cannot prevent it. Consequently, Atomicity, Isolation, and Durability are inherent database properties, while Consistency is primarily an application property, leading to debate about its place within the ACID acronym.

Isolation addresses concurrency problems, or 'race conditions,' that arise when multiple clients access and modify the same database records simultaneously. ACID isolation ensures that concurrently executing transactions are isolated from each other, preventing them from interfering. The classic formalization of isolation is 'serializability,' meaning that the outcome of concurrent transactions is equivalent to some serial execution of those transactions, as if they ran one after another. However, serializable isolation often incurs a performance penalty, leading many databases to implement weaker isolation levels that offer less stringent concurrency guarantees.

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