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Database Management: Rules, Index Structures, Logging, and Concurrency Control

Explore Datalog rules, safety concepts, index structures, logging basics, and concurrency control mechanisms in this comprehensive review. Learn about query compilation, advanced indexing, and efficient query execution techniques.

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Database Management: Rules, Index Structures, Logging, and Concurrency Control

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Presentation Transcript

  1. Final Review • Datalog (Ch 10) • Rules and queries • RA expressions for Datalog rules • Datalog program as a query expression and rectification • Concept of Safety • Negation combined with Recursion • Safe and Stratified Rules • Fixed Point Solution for recursive and non-recursive datalog programs

  2. Index Structures (Ch. 13) • Conventional Indexes • Dense, Sparse, Multiple levels, Secondary • B+ Tree • Hash Tables • Extensible and Linear

  3. Logging (Ch. 17) • Basics of UNDO and REDO logging, checkpointing, recovery

  4. Concurrency Control (Ch. 18) • Serializability, schedules, transactions, • Conflict Serializability • Precedence graphs • Lock-based protocols, Two-phase locking • Tree protocol • Timestamp-based protocol

  5. More about TM (Ch. 19) • Dirty data problem, cascading rollback, recoverable schedules • Resolving deadlocks, timeouts, the Waits-for graph, locks by ordering elements, timestamps

  6. The Query Compiler (Ch. 16) • Algebraic laws • Estimating sizes of intermediate relations • Projection, Selection, and Join

  7. Query Execution (Ch. 15) • Nested-loop joins • Sort-based joins • Index-based Selection • Index-based Join

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