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    Advance Database Management Systems
    COMP3146
    Progress0 / 18 topics
    Topics
    1. Introduction to advance data models such as object relational, object oriented2. File organizations concepts3. Transactional processing4. Concurrency control techniques5. Recovery techniques6. Query processing and optimization7. Database Programming (PL/SQL)8. Database Programming (T-SQL)9. Database Programming (similar technology)10. Integrity and security11. Database Administration (Role management)12. Database Administration (managing database access)13. Database Administration (views)14. Physical database design and tuning15. Distributed database systems16. Emerging research trends in database systems17. MONGO DB18. NO SQL (or similar technologies)
    COMP3146›Physical database design and tuning
    Advance Database Management SystemsTopic 14 of 18

    Physical database design and tuning

    3 minread
    464words
    Beginnerlevel

    ⚙️ Physical Database Design and Tuning


    1. What is Physical Database Design?

    Physical database design is the process of translating the logical database design (ER diagrams, relational schemas) into an efficient physical structure on storage media.

    • Focuses on how data is stored, accessed, and organized physically.
    • Aims to optimize performance, storage, and retrieval.

    2. Goals of Physical Database Design

    • Minimize data access time (reduce I/O operations).
    • Efficient use of storage space.
    • Improve query processing speed.
    • Support concurrent access with minimal contention.
    • Facilitate data recovery and backup.

    3. Key Concepts in Physical Design

    Concept Description
    File Organization How data files are stored and managed on disk (heap, sorted, hashed).
    Indexing Data structures (B-trees, hash indexes) to speed up data retrieval.
    Partitioning Splitting large tables into smaller, manageable pieces (horizontal/vertical).
    Clustering Storing related data physically close to reduce disk I/O.
    Denormalization Adding redundant data to reduce joins and improve performance.

    4. Physical Design Steps

    1. Choose file organization for tables based on usage patterns.
    2. Decide on indexes for frequently queried columns.
    3. Consider partitioning large tables for manageability and performance.
    4. Decide on clustering tables if related data is often accessed together.
    5. Optimize storage parameters (block size, extent size).
    6. Incorporate backup and recovery plans.

    5. Database Tuning

    • The process of monitoring and adjusting database performance.

    • Includes tuning:

      • Queries
      • Indexes
      • Memory allocation
      • I/O operations
      • Locking and concurrency

    6. Common Tuning Techniques

    Technique Description
    Index Optimization Creating, dropping, or rebuilding indexes to improve query speed.
    Query Optimization Writing efficient queries, using explain plans to analyze.
    Caching & Buffering Adjusting memory allocation for caching data pages.
    Partition Pruning Accessing only relevant partitions during queries.
    Denormalization Reducing complex joins by storing redundant data.
    Statistics Update Keeping optimizer statistics up-to-date for accurate query plans.
    Concurrency Control Minimizing locks and deadlocks for smoother multi-user access.

    7. Index Types

    Index Type Use Case
    B-tree Index General-purpose, range queries
    Hash Index Equality searches only
    Bitmap Index Columns with low cardinality (few distinct values)
    Clustered Index Physically orders data in the table

    8. Tools for Physical Design and Tuning

    • Explain/Execution Plans to analyze query paths.
    • Performance Monitors (e.g., Oracle AWR, SQL Server Profiler).
    • Automated tuning advisors (e.g., Oracle SQL Tuning Advisor).
    • Database statistics for query optimizer.

    9. Summary Table

    Aspect Purpose Example/Technique
    Physical Design Efficient data storage and access File organization, indexing
    Indexing Speed up data retrieval B-tree, bitmap, hash indexes
    Partitioning Manage large tables Horizontal, vertical partitioning
    Denormalization Improve query performance Redundant data storage
    Tuning Optimize query and system performance Query rewriting, caching, stats
    Tools Analyze and assist tuning Explain plans, tuning advisors

    Why Physical Design & Tuning Matter

    • Huge impact on database performance and scalability.
    • Helps to handle large volumes of data efficiently.
    • Ensures fast response times in multi-user environments.
    • Reduces hardware costs by optimizing resource usage.

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    Database Administration (views)
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    Distributed database systems

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      Est. reading time3 min
      Word count464
      Code examples0
      DifficultyBeginner