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Welcome to DataGenesis !
  • 🚀 Welcome to the Database Management System Playground! 📊💾
  • Basics of DBMS
    • Database Management System
    • DBMS V/S File System
    • DBMS Architectures
    • Tier 3 Architecture / Three Schema Architecture
  • E-R Data Model
    • Basics of E-R Model
    • Attributes in E-R Model
    • Null Values
    • Strong & Weak Entities
    • Relationship Constraints
    • Recursive Relationships
    • E-R Diagrams
    • Extended E-R Model
  • Relational Model
    • Relational Model
    • Facts About Relational Model
    • Types of Keys in Relational Model
    • Integrity Constraints
    • Anomalies in Relational Model
  • Transform - ER Model to Relational Model
    • Mapping from ER Model to Relational Model
  • SQL - Structured Query Language
    • SQL
    • CRUD Operations
    • Data Types
    • Type of Commands in SQL
    • Working With Commands
    • Data Retrieval Commands
  • Normalisation
    • Functional Dependencies
    • Armstrong's Axioms
    • Multivalued Dependency
    • 1 Normal Form
    • 2 Normal Form
    • 3 Normal Form
    • Boyce-Codd Normal Form (BCNF)
    • 4 Normal Form
    • 5 Normal Form
    • Lossless Decomposition, Lossless Join ,and Dependency Preserving Decomposition, Denormalization
  • Concurrency Control
    • Transactions & Concurrency
    • Scheduling of Transactions
    • Problems & Strategies in Concurrency Control
    • Transaction & ACID Properties
    • How to implement ACID Properties
    • Atomicity Techniques
    • Durability Techniques
    • Implementing Locking in DBMS
    • Concurrency Control Protocols
      • Two Phase Locking
      • Timestamp Ordering
      • Multi Version Concurrency Control Techniques
    • Starvation in DBMS
    • Deadlock in DBMS
    • Log Based Recovery
  • NoSQL & Types of Databases
    • SQL V/S NoSQL
    • Types of Databases
  • DB Optimization
    • File Organization
      • Hash File Organizations
      • B+ Tree File Organization: A Guide to Efficient Data Indexing
      • Cluster File Organization
    • Indexing in DBMS
      • Primary Indexing
      • Clustered Indexing
      • Secondary Indexing
      • Multilevel Indexing
  • Distributed Databases
    • Database Clustering
    • Partitioning and Sharding
    • CAP Theorm
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  1. Concurrency Control

How to implement ACID Properties

ACID (Atomicity, Consistency, Isolation, Durability) properties are essential for ensuring the reliability and integrity of transactions in a database management system (DBMS). Here's how you can implement these properties in a DBMS:

  1. Atomicity: Atomicity ensures that a transaction is treated as a single, indivisible unit of work. It means that either all the changes made by a transaction are applied, or none of them are. To implement atomicity:

    • Use a transaction manager: The DBMS should provide a transaction manager that handles the beginning, execution, and completion of transactions.

    • Log changes: Maintain a transaction log that records all changes made during a transaction. If a transaction fails, use the log to undo the changes (rollback).

    • Implement save points: Allow transactions to set save points within the transaction so that they can be rolled back to a specific point if needed.

  2. Consistency: Consistency ensures that a transaction brings the database from one consistent state to another. To implement consistency:

    • Define constraints: Use integrity constraints (e.g., foreign key constraints, unique constraints) to enforce data integrity rules.

    • Enforce business rules: Implement business logic checks to ensure that data modifications maintain consistency.

  3. Isolation: Isolation ensures that concurrent transactions do not interfere with each other. To implement isolation:

    • Use locking mechanisms: Employ locking techniques, such as row-level or table-level locks, to prevent multiple transactions from accessing the same data simultaneously.

    • Isolation levels: Provide different isolation levels (e.g., READ UNCOMMITTED, READ COMMITTED, REPEATABLE READ, SERIALIZABLE) to control the degree of isolation and trade-offs between concurrency and consistency.

  4. Durability: Durability guarantees that once a transaction is committed, its changes are permanent and will survive system failures. To implement durability:

    • Write-ahead logging: Maintain a write-ahead log (also known as a transaction log) that records all changes before they are applied to the database. This log is used to recover the database in case of a crash.

    • Use durable storage: Ensure that the data is stored in a durable medium (e.g., hard disk) that can withstand system failures.

    • Implement checkpointing: Periodically create checkpoints that flush the transaction log to stable storage, ensuring that even recent changes are durable.

Additionally, DBMS vendors provide tools and configurations to control and fine-tune the ACID properties based on specific application requirements. It's important to choose the appropriate isolation level, configure the log settings, and monitor the system's performance to balance ACID compliance with the desired level of concurrency and performance for your specific use case.

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Last updated 1 year ago

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