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Interactive Explainer

ACID Transactions and Consistency

What ACID means, isolation levels, and when transactions matter for backend correctness.

ACID Transactions and Consistency

What ACID means, isolation levels, and when transactions matter for backend correctness.

~2 min read
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Lesson outline

What ACID means

ACID describes what a transaction guarantees. Atomicity: all operations in the transaction commit together or none do (rollback on failure). Consistency: the database moves from one valid state to another; constraints (e.g. foreign keys) hold. Isolation: concurrent transactions do not see each other’s uncommitted changes in a way that breaks correctness. Durability: once committed, data survives crashes (written to durable storage).

Without transactions, a partial update (e.g. debit one account but fail before crediting another) leaves the system inconsistent. Transactions let you group steps and get all-or-nothing behavior.

Isolation levels

Isolation levels control how much one transaction sees of another’s uncommitted or committed work. Read uncommitted: see uncommitted changes (rarely used). Read committed: see only committed data; default in many DBs. Repeatable read: same query in the same transaction returns same rows even if others commit changes. Serializable: transactions behave as if run one after another; strongest but can reduce concurrency.

Higher isolation avoids anomalies (dirty read, non-repeatable read, phantom read) but can cause more locking or aborts. Use read committed or repeatable read unless you have a specific need for serializable.

When to use transactions

Use a transaction when multiple writes must succeed or fail together: e.g. create order + deduct inventory + create payment record. Use a single transaction so a failure in any step rolls back all. For read-only operations you usually do not need a transaction unless you need repeatable read or a consistent snapshot.

Keep transactions short: do not hold a transaction open while calling external APIs or doing heavy computation. Acquire locks late and release early.

Distributed transactions

When data lives in multiple databases or services, a single ACID transaction across them is hard. Two-phase commit (2PC) exists but is complex and can block. In practice, many systems use sagas: a sequence of local transactions with compensating actions (e.g. if "charge payment" succeeds but "ship order" fails, run "refund payment"). Design for eventual consistency and idempotency so retries are safe.

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