ACID Transactions

ACID Transactions: Interactive Guide with Animated Use Cases
Database Fundamentals

Mastering ACID
Transactions

Explore Atomicity, Consistency, Isolation, and Durability through interactive animations and real-world scenarios.

Transaction Flow ACTIVE
1
BEGIN TRANSACTION
Start operation block
2
EXECUTE OPERATIONS
Update records, insert data
3
COMMIT
Make changes permanent
Transaction Status COMMITTED

The ACID Properties

Click each card to explore interactive demonstrations.

A

Atomicity

All operations complete successfully, or none do. It’s “all or nothing.”

Try Demo
C

Consistency

Transactions bring the database from one valid state to another.

Try Demo
I

Isolation

Concurrent transactions don’t interfere with each other.

Try Demo
D

Durability

Once committed, data survives permanently, even after system failure.

Try Demo
All or Nothing

Atomicity

Atomicity ensures that a transaction is treated as a single, indivisible unit of work. Either all operations within the transaction are completed successfully, or none of them are.

Complete Success

All operations succeed → Transaction commits

Partial Failure

Any operation fails → Entire transaction rolls back

Bank Transfer Demo

Account A (Sender) $1,000
Account B (Receiver) $500
// Click “Run Transfer” to see Atomicity in action

Data Validation Rules

User Age: 25
✓ Valid
Account Balance: $1,500
✓ Valid
Email: user@example.com
✓ Valid
Active Constraints
  • Age must be > 0 and < 150
  • Balance must be ≥ 0
  • Email must contain @
Valid State

Consistency

Consistency ensures that a transaction can only bring the database from one valid state to another. All data must satisfy all defined rules and constraints before and after the transaction.

Constraints Enforcement

Foreign keys, check constraints, and triggers maintain data integrity

Business Logic

Account balances, inventory counts, and derived values remain accurate

Concurrency Control

Isolation

Isolation ensures that concurrently executing transactions do not interfere with each other. The results are the same as if transactions were executed sequentially.

A Transaction A

Running
READ inventory = 100
UPDATE inventory = 90
COMMIT

B Transaction B

Waiting
READ inventory = ?
UPDATE inventory = ?
COMMIT
Database Record
Inventory: 100
Transaction A has locked the record. Transaction B must wait…
Read Uncommitted
Lowest Isolation

Can read uncommitted data (dirty reads)

Read Committed
Default

Only reads committed data

Repeatable Read
High Isolation

Same query returns same results

Serializable
Highest Isolation

Complete isolation, sequential execution

Permanent Storage

Durability

Durability guarantees that once a transaction has been committed, it will remain committed even in the event of a system failure (power outage, crash, etc.). Data is written to persistent storage.

Write-Ahead Logging (WAL)

Changes are written to log before applying to database

Battery-Backed Cache

Hardware protection for pending writes

Replication

Multiple copies across different nodes

Durability Mechanism

Memory (Buffer Pool) Volatile
Uncommitted Data
fsync() →
Write-Ahead Log (WAL) Durable
[COMMIT] TXN-1042
[UPDATE] Record-9921
Checkpoint →
Disk Storage Permanent
✓ Committed Data
Crash Recovery: On restart, the system replays WAL to restore committed transactions that might not have reached disk.

Real-World Use Cases

Click to see how ACID transactions protect critical business operations.

Banking & Finance

Wire transfers, account updates, and trading operations require absolute consistency.

View SQL Example

E-commerce Orders

Inventory management and order processing must handle concurrent purchases safely.

View SQL Example

Healthcare Records

Patient data updates require complete accuracy and audit trails for compliance.

View SQL Example

ACID vs Non-ACID

Understanding the trade-offs between relational and non-relational approaches.

Scenario ACID Compliant Non-ACID (Eventual Consistency)
Bank Transfer Both accounts update together or not at all Risk of double-spending or lost money
Inventory Management Exact stock count, no overselling Overselling possible during high traffic
System Crash Automatic recovery to consistent state Potential data corruption or loss
Concurrent Access Isolated transactions, no interference Read/write conflicts possible

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