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Transactions & Concurrency

Master Database Transactions & Concurrency

Master Database Transactions & Concurrency

Ensure data integrity and consistency in high-concurrency environments. Master ACID properties, transaction control, locking mechanisms, and deadlock prevention techniques.

ACID Properties
Transaction Control
Concurrency Management

Complete Transaction Management Example

-- Bank Transfer Transaction with Error Handling
BEGIN TRANSACTION;  -- Start transaction block

BEGIN TRY
    -- Step 1: Deduct amount from sender
    UPDATE accounts 
    SET balance = balance - 500
    WHERE account_id = 101 
    AND balance >= 500;  -- Check sufficient funds
    
    IF @@ROWCOUNT = 0
    BEGIN
        RAISERROR('Insufficient funds', 16, 1);
    END;
    
    -- Step 2: Add amount to receiver
    UPDATE accounts 
    SET balance = balance + 500
    WHERE account_id = 202;
    
    -- Step 3: Log the transaction
    INSERT INTO transaction_log (from_account, to_account, amount, timestamp)
    VALUES (101, 202, 500, GETDATE());
    
    COMMIT TRANSACTION;  -- Save all changes permanently
    PRINT 'Transaction completed successfully';
    
END TRY
BEGIN CATCH
    ROLLBACK TRANSACTION;  -- Undo all changes on error
    PRINT 'Transaction failed: ' + ERROR_MESSAGE();
END CATCH;

Module: ACID Properties

Master the fundamental principles that ensure reliable database transactions

1

ACID Fundamentals

  • Introduction to Database Transactions
  • What is ACID and Why It Matters
  • Atomicity – All-or-Nothing Execution
  • Consistency – Valid Data States
  • Isolation – Multiple Transactions
2

ACID in Practice

  • Durability – Permanent Changes
  • Real-World ACID Examples
  • Bank Transfer Transactions
  • E-Commerce Checkout Process
  • Flight Booking Systems
3

Database Support

  • ACID in MySQL (InnoDB)
  • PostgreSQL ACID Compliance
  • Oracle Transaction Management
  • SQL Server ACID Support
  • Choosing the Right Database
A

Atomicity

Transactions are all-or-nothing operations

Either all operations succeed or none are applied
C

Consistency

Database remains in a valid state

All constraints and rules are maintained
I

Isolation

Concurrent transactions don’t interfere

Transactions execute independently
D

Durability

Committed changes persist permanently

Survives system crashes and failures

Module: Commit & Rollback

Control transaction flow and ensure data integrity with commit and rollback operations

4

Transaction Control

  • Transaction Blocks (BEGIN/START)
  • COMMIT – Permanent Save
  • ROLLBACK – Safe Undo
  • SAVEPOINT – Partial Rollback
  • Autocommit Mode Explained
5

Practical Applications

  • Reversing Invalid Updates
  • Protecting Against Failed Inserts
  • Multi-step Order Processing
  • Inventory + Payment Transactions
  • Error Handling Strategies
6

Best Practices

  • Transaction Safety Guidelines
  • Optimal Transaction Size
  • Error Recovery Patterns
  • Testing Transaction Logic
  • Monitoring Transaction Health
🔒

Transaction Start

Begin transaction with explicit boundaries and isolation level

Operations

Execute database operations with consistency checks

Commit/Rollback

Finalize with commit for success or rollback for errors

Module: Locking & Deadlocks

Manage concurrent access and prevent conflicts in multi-user environments

7

Locking Fundamentals

  • What is Database Locking?
  • Shared Lock (Read Lock)
  • Exclusive Lock (Write Lock)
  • Row-Level Locking
  • Table-Level Locking
8

Concurrency Problems

  • Dirty Reads Explained
  • Phantom Reads Issue
  • Non-Repeatable Reads
  • Lost Updates Problem
  • Isolation Levels Solution
9

Deadlock Management

  • Deadlocks Explained
  • How Deadlocks Happen
  • Detecting Deadlocks
  • Resolving Deadlocks
  • Prevention Techniques

Shared Lock

Multiple reads allowed

No writes permitted

Exclusive Lock

Single write access

No reads or writes by others

Row-Level Lock

Locks individual rows

High concurrency

Table-Level Lock

Locks entire table

Low concurrency

Dirty Read

Reading uncommitted data from another transaction

Solution: READ COMMITTED isolation

Non-Repeatable Read

Different values when reading same row twice

Solution: REPEATABLE READ isolation

Phantom Read

New rows appear in repeated range queries

Solution: SERIALIZABLE isolation

Database Implementation Details

How different database systems handle transactions and concurrency

MySQL InnoDB

Row-level locking, ACID compliant, MVCC support

PostgreSQL

MVCC concurrency, Serializable isolation, Advanced locking

SQL Server

Multiple isolation levels, Lock escalation, Deadlock detection

Oracle

Advanced concurrency, Read consistency, Undo segments

Banking System Transactions

High-concurrency financial system requirements:

  • Atomic transfers between accounts
  • Consistent balance calculations
  • Isolated transaction processing
  • Durable transaction logs
  • Deadlock detection and resolution

E-Commerce Order Processing

Complete order fulfillment workflow:

  • Inventory reservation with locks
  • Payment processing transactions
  • Order status consistency
  • Shipping updates isolation
  • Rollback for failed payments

High-Concurrency Best Practices

Techniques to prevent deadlocks and ensure optimal performance

10

Deadlock Prevention

  • Access resources in same order
  • Use lower isolation levels when possible
  • Keep transactions short and fast
  • Avoid user interaction in transactions
  • Use lock timeouts
11

Performance Optimization

  • Choose appropriate isolation levels
  • Index frequently queried columns
  • Batch operations together
  • Monitor lock contention
  • Use connection pooling
12

Monitoring & Maintenance

  • Track deadlock occurrences
  • Monitor lock waits
  • Analyze transaction duration
  • Regular index maintenance
  • Database statistics updates

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