Topic
Isolation Levels
Learn Isolation Levels as a connected topic across chapters, concepts, simulations, and interview reasoning.
10 Concepts10 Articles5h 8m
Overview
Learn Isolation Levels as a connected topic across chapters, concepts, simulations, and interview reasoning.
How this topic helps
Databases
Transactions
Distributed Systems
Sql
Learning Path in this Topic
Series that contain articles from Isolation Levels. Select a path to filter the article list.
Articles
10 matched articles
Article 1Dirty Write Explained: When Uncommitted Data Gets OverwrittenTLDR: A dirty write occurs when Transaction B overwrites data that Transaction A has written but not yet committed. The result is not a rollback or an error — it is silently inconsistent committed dat28 min
Article 2Read Skew Explained: Inconsistent Snapshots Across Multiple ObjectsTLDR: Read skew occurs when a transaction reads two logically related objects at different points in time — one before and one after a concurrent transaction commits — producing a view that never exis34 min
Article 3Lost Update Explained: When Two Writes Become OneTLDR: A lost update occurs when two concurrent read-modify-write transactions both read the same committed value, both compute a new value from it, and both write back — with the second write silently38 min
Article 4Phantom Read Explained: When New Rows Appear Mid-TransactionTLDR: A phantom read occurs when a transaction runs the same range query twice and gets a different set of rows — because a concurrent transaction inserted or deleted matching rows and committed in be32 min
Article 5Write Skew Explained: The Anomaly That Requires Serializable IsolationTLDR: Write skew is the hardest concurrency anomaly to reason about: two concurrent transactions each read a shared condition, decide they can safely proceed, and then write to different rows. No indi23 min
Article 6Dirty Read Explained: How Uncommitted Data Corrupts TransactionsTLDR: A dirty read occurs when Transaction B reads data written by Transaction A before A has committed. If A rolls back, B has made decisions on data that — from the database's perspective — never ex30 minPage 1 of 2