Master Database Transactions & Concurrency
Ensure data integrity and consistency in high-concurrency environments. Master ACID properties, transaction control, locking mechanisms, and deadlock prevention techniques.
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
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
ACID in Practice
- Durability – Permanent Changes
- Real-World ACID Examples
- Bank Transfer Transactions
- E-Commerce Checkout Process
- Flight Booking Systems
Database Support
- ACID in MySQL (InnoDB)
- PostgreSQL ACID Compliance
- Oracle Transaction Management
- SQL Server ACID Support
- Choosing the Right Database
Atomicity
Transactions are all-or-nothing operations
Either all operations succeed or none are appliedConsistency
Database remains in a valid state
All constraints and rules are maintainedIsolation
Concurrent transactions don’t interfere
Transactions execute independentlyDurability
Committed changes persist permanently
Survives system crashes and failuresModule: Commit & Rollback
Control transaction flow and ensure data integrity with commit and rollback operations
Transaction Control
- Transaction Blocks (BEGIN/START)
- COMMIT – Permanent Save
- ROLLBACK – Safe Undo
- SAVEPOINT – Partial Rollback
- Autocommit Mode Explained
Practical Applications
- Reversing Invalid Updates
- Protecting Against Failed Inserts
- Multi-step Order Processing
- Inventory + Payment Transactions
- Error Handling Strategies
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
Locking Fundamentals
- What is Database Locking?
- Shared Lock (Read Lock)
- Exclusive Lock (Write Lock)
- Row-Level Locking
- Table-Level Locking
Concurrency Problems
- Dirty Reads Explained
- Phantom Reads Issue
- Non-Repeatable Reads
- Lost Updates Problem
- Isolation Levels Solution
Deadlock Management
- Deadlocks Explained
- How Deadlocks Happen
- Detecting Deadlocks
- Resolving Deadlocks
- Prevention Techniques
Shared Lock
Multiple reads allowed
No writes permittedExclusive Lock
Single write access
No reads or writes by othersRow-Level Lock
Locks individual rows
High concurrencyTable-Level Lock
Locks entire table
Low concurrencyDirty Read
Reading uncommitted data from another transaction
Solution: READ COMMITTED isolationNon-Repeatable Read
Different values when reading same row twice
Solution: REPEATABLE READ isolationPhantom Read
New rows appear in repeated range queries
Solution: SERIALIZABLE isolationDatabase 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
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
Performance Optimization
- Choose appropriate isolation levels
- Index frequently queried columns
- Batch operations together
- Monitor lock contention
- Use connection pooling
Monitoring & Maintenance
- Track deadlock occurrences
- Monitor lock waits
- Analyze transaction duration
- Regular index maintenance
- Database statistics updates
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