Intermediate Topic 26 of 51 Databases
Isolation Levels
Settings trading concurrency for protection from anomalies.
How it works
Isolation levels define which anomalies concurrent transactions may observe. Read uncommitted permits dirty reads; read committed prevents dirty reads, but a row may change between two reads; repeatable read keeps previously read rows stable but may allow phantom rows in some systems; serializable behaves as if transactions ran one at a time. Snapshot isolation, used by PostgreSQL and Oracle, gives each transaction a consistent snapshot but allows write skew.
Step-by-step walkthrough
- Read Uncommitted allows dirty reads of unsaved data.
- Read Committed prevents dirty reads.
- Repeatable Read keeps the same rows stable inside one transaction.
- Serializable behaves as if transactions ran one at a time.
- Stronger isolation means more locking or aborts, so you trade speed for safety.
Where it is used
Choosing a level lets applications trade correctness against throughput; most systems default to read committed or repeatable read.
Common pitfall
Higher isolation causes more blocking or serialization failures that applications must retry. Defaults differ across databases, so code that works on one may misbehave on another. Subtle anomalies like lost updates and write skew need explicit locking such as SELECT FOR UPDATE or serializable mode. Test concurrent scenarios deliberately.
Where it fits in the course
Isolation Levels is topic 26 of 51 in Databases, rated Intermediate. It follows ACID Properties. The next topic is Concurrency Control.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Databases quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Databases quiz, and revisit the topic if you miss a question.
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Related topics
- ACID Properties (Databases)
- Concurrency Control (Databases)
- Transactions (Databases)
- Locking and Two-Phase Locking (Databases)