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CS 525: Advanced Database Organization

Objectives

Study of relational, semantic, and object-oriented data models and interfaces. Database management system techniques for query optimization, concurrency control, recovery management, and distributed processing.

Prerequisites

• CS 425.

Syllabus

• Introduction
  • History of database management.
  • Goals of database system development.
• Relational systems
  • Data models.
  • Basic relational concepts.
  • Integrity constraints.
  • Relational algebra.
• Buffer management
  • Goals and importance of buffering.
  • Buffer implementation.
  • Global buffering schemes (FIFO, CLOCK, LFU, LRU, LRU-K).
• Data-store organization
  • Inverted-file organization.
  • Physical representation of attributes.
  • Physical representation of tuples.Internal organization of data pages.
  • Record identification.
  • Mapping short records onto pages.
  • Mapping long records onto pages.
  • Storage allocation and free-space management.
• Indexing and hashing
  • Goals and importance of indexing.
  • Hashing (static hashing, extensible hashing).
  • Comparative indexing schemes (ISAM, B-trees, Prefix B-trees, prefix and trailing key compression).
• Database recovery
  • Concept of a transaction.
  • ACID properties of transactions.
  • Transaction recovery.
  • Physical recovery schemes(Redo/No-undo, Undo/No-Redo, Undo/Redo, No-Undo/No-Redo).
• Concurrency control
  • Transactions and concurrency.
  • Schedules and serializability.
  • Bad dependencies.
  • Locking (lock modes, lock duration,lock granularity, two-phase locking, isolation levels).
  • Lock implementation (hard locks, intention locks, lock queues, lock management and structures).
• Page-level logical recovery
  • Brief overview.
  • Basic structures.
  • Recovery operations (forward processing, rollback, checkpointing, and restart processing).
• Query Processing
• Query Optimization
• Distributed databases
  • Date's requirements for distributed data management.
  • Problems of distributed database management
    • Object naming.
    • Data-dictionary management.
    • Data fragmentation.
    • Distributed query processing and optimization.
    • Global transactions and two-phase commit.
• Data replication
  • Objectives and requirements of data replication.
  • Replication schemes.
    • Synchronous replication.
    • Periodic state-based replication.
    • Asynchronous replication.
    • Symmetric replication.
  • Evaluation of different replication schemes.
• System Architecture
  • Client/server architecture.
  • Processes and multi-process server architectures.
  • Threading and multi-threaded server architectures.
• Research Topics in Database Systems

Edited March 2006 (html, css checks)