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    How Databases work

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    • Introduction to Databases
      • 1.1What is a Database?
      • 1.2Importance of Databases
      • 1.3Types of Databases
    • Database Models
      • 2.1Hierarchical Model
      • 2.2Network Model
      • 2.3Relational Model
      • 2.4Object-oriented Model
    • Relational Databases
      • 3.1Introduction to Relational Databases
      • 3.2Tables, Records, and Fields
      • 3.3Keys and Indexes
    • SQL Basics
      • 4.1Introduction to SQL
      • 4.2Basic SQL Commands
      • 4.3Creating and Modifying Tables
    • Advanced SQL
      • 5.1Joins
      • 5.2Subqueries
      • 5.3Stored Procedures
    • Database Design
      • 6.1Normalization
      • 6.2Entity-Relationship Diagrams
      • 6.3Data Integrity
    • Transaction Management
      • 7.1ACID Properties
      • 7.2Concurrency Control
      • 7.3Recovery Techniques
    • Database Security
      • 8.1Security Threats
      • 8.2Access Control
      • 8.3Encryption and Authentication
    • NoSQL Databases
      • 9.1Introduction to NoSQL
      • 9.2Types of NoSQL Databases
      • 9.3Use Cases for NoSQL
    • Big Data and Databases
      • 10.1Introduction to Big Data
      • 10.2Big Data Technologies
      • 10.3Big Data and Databases
    • Cloud Databases
      • 11.1Introduction to Cloud Databases
      • 11.2Benefits and Challenges
      • 11.3Popular Cloud Database Providers
    • Database Administration
      • 12.1Roles and Responsibilities of a Database Administrator
      • 12.2Database Maintenance
      • 12.3Performance Tuning
    • Future Trends in Databases
      • 13.1In-memory Databases
      • 13.2Autonomous Databases
      • 13.3Blockchain and Databases

    Transaction Management

    Recovery Techniques in Databases

    organized collection of data in computing

    Organized collection of data in computing.

    In the world of databases, data integrity and reliability are of utmost importance. Despite the best efforts to prevent them, failures do occur due to various reasons such as system crashes, power failures, or even human errors. This is where recovery techniques come into play. They are essential for restoring a database to a correct state after a failure.

    Introduction to Recovery Techniques

    Recovery techniques are methods used to restore a database system to a consistent state after a failure. They ensure that the ACID properties (Atomicity, Consistency, Isolation, Durability) of a database are maintained even in the event of a system failure. These techniques are crucial for maintaining data integrity and preventing data loss.

    Importance of Recovery Techniques

    Recovery techniques are vital for several reasons:

    • They ensure data integrity by restoring the database to a consistent state after a failure.
    • They prevent data loss by recovering lost data due to system failures.
    • They maintain the reliability of a database system by ensuring its continuous operation even after a failure.

    Different Recovery Techniques

    There are several recovery techniques used in databases. Here are some of the most common ones:

    Immediate Database Modification

    This technique involves writing changes to the database as soon as a transaction executes a write operation. It uses a concept known as write-ahead logging, where changes are first recorded in a log before they are applied to the database. In the event of a failure, the system can use the log to redo or undo transactions as necessary.

    Deferred Database Modification

    In this technique, changes are not immediately written to the database. Instead, they are recorded in a temporary storage area until the transaction reaches a commit point, at which time all changes are written to the database. If a failure occurs before the commit point, the transaction is simply discarded, and no changes need to be undone.

    Checkpoints

    Checkpoints are a crucial part of recovery techniques. They involve periodically saving the state of a transaction to a log. In the event of a failure, the system only needs to consider transactions that were active at the last checkpoint, which can significantly reduce recovery time.

    Shadow Paging

    Shadow paging is a technique that involves creating a new copy of the database, called a shadow copy, for each write operation. The original database remains unchanged until the transaction is committed, at which point the shadow copy becomes the official database. If a failure occurs during a transaction, the system can simply discard the shadow copy and revert to the original database.

    Backup and Restore Strategies

    In addition to these recovery techniques, it's also important to have a backup and restore strategy in place. This involves regularly creating backups of the database that can be used to restore the database in the event of a catastrophic failure. The frequency and type of backups (full, differential, incremental) will depend on the specific requirements of the database system.

    In conclusion, recovery techniques are a vital part of maintaining data integrity and reliability in a database system. By understanding and implementing these techniques, database administrators can ensure the continuous operation of the database system even in the event of a failure.

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