Understanding Transactions in Amazon DynamoDB
Tags: aws, dynamodb, databasetransactions, serverless
Published: 2024-02-12 19:04:47

---
title: Understanding Transactions in Amazon DynamoDB
published: true
description: 
tags: #AWS #DynamoDB #DatabaseTransactions #Serverless
cover_image: https://miro.medium.com/v2/resize:fit:4800/format:webp/1*879MMsZ4PMk6bfgVdhVjOQ.png
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---

### DynamoDB Transactions
Maintaining data consistency and integrity is crucial, particularly in applications managing large transaction volumes. Amazon DynamoDB, a fully managed NoSQL database service provided by Amazon Web Services (AWS), offers robust solutions for handling such scenarios through its transaction support.

### What are Transactions?
Within the context of databases, a transaction is a unit of work that encapsulates one or more database operations, such as reads or writes, which should be executed as a single, indivisible unit. The ACID (Atomicity, Consistency, Isolation, Durability) properties define the essential characteristics of a transaction. These properties ensure that transactions are executed reliably, consistently, and with integrity, even amidst system failures or concurrent execution.

### DynamoDB Transactions
Introduced in 2018, DynamoDB transactions allow developers to perform multiple operations on one or more items atomically. This ensures that either all operations in the transaction succeed, or none of them are applied. Adhering to the principles of ACID, DynamoDB transactions assure data consistency and integrity.

### Features of DynamoDB Transactions
**Atomicity**: DynamoDB transactions are atomic, meaning that either all operations in the transaction succeed, or none of them is applied. This prevents partial updates or inconsistent states in the database.

**Consistency**: Transactions in DynamoDB maintain the consistency of data by ensuring that all reads and writes within a transaction are isolated from other operations. This prevents concurrent modifications from interfering with the transaction’s outcome.

**Isolation**: DynamoDB transactions provide isolation between concurrent transactions, ensuring that the effects of one transaction are not visible to others until it is committed. This prevents concurrency issues such as dirty reads, non-repeatable reads, and phantom reads.

**Durability**: Once a transaction is committed, the changes made to the database are durable and will persist even in the event of system failures or crashes.

**Support for Conditional Writes**: DynamoDB transactions support conditional writes, allowing developers to specify conditions that must be met for an operation to succeed. This feature is particularly useful for implementing business logic or enforcing data constraints within transactions.

### Transactional APIs
DynamoDB offers two transactional APIs for performing transactions:

**Transaction Write Actions**: This API enables developers to perform multiple Put, Update, or Delete operations within a single transaction. You can optionally include a client token when you make a TransactWriteItems call to ensure that the request is idempotent.

**Transaction Get Actions**: This API allows developers to perform multiple Get operations within a single transaction, ensuring read consistency across multiple items. The Get actions are performed atomically so that either all of them succeed or all of them fail

### TransactionCanceledException
This exception is thrown when working with DynamoDB transactions. This exception can be thrown for different reasons including:

**Conditional check failed**: One or more conditions specified in the transaction request were not met, causing the transaction to be cancelled.

**Transaction conflict**: Another transaction concurrently modified one or more items that are part of the transaction, causing a conflict and resulting in the transaction being cancelled. DynamoDB automatically retries the transaction if this exception occurs.

**Item collection size exceeded**: The total size of the items in the transaction exceeds the maximum allowed item collection size, leading to the transaction being cancelled.

**Provisioned throughput limit exceeded**: The transaction exceeded the provisioned throughput limits for the table or index, causing the transaction to be cancelled. This can happen if the transaction rate exceeds the provisioned capacity.

### Use Cases
DynamoDB transactions are well-suited for various use cases where data consistency and integrity are critical:

**E-commerce Platforms**: Ensuring inventory updates, order processing, and payment transactions are executed atomically.

**Financial Services**: Handling financial transactions, account balances, and fund transfers securely.

**Collaborative Editing Tools**: Synchronizing concurrent edits to documents or collaborative projects without conflicts.

### Best Practices
When working with DynamoDB transactions, it’s essential to adhere to best practices to maximize performance, scalability, and reliability:

**Keep Transactions Short**: Minimize the duration of transactions to reduce the likelihood of conflicts and improve throughput.

**Batch Operations**: Utilize batch operations whenever possible to reduce the number of round trips to the DynamoDB service.

**Optimistic Concurrency Control**: Use optimistic concurrency control to handle conflicts by detecting concurrent modifications and retrying transactions when necessary.

**Monitor Performance**: Monitor transaction throughput, latency, and error rates using Amazon CloudWatch metrics to identify and address performance bottlenecks.

### Let’s incorporate examples using the SDK (Software Development Kit) for DynamoDB transactions.

**Example 1:**
We want to ensure that when a customer places an order, we deduct the purchased items from the inventory and record the order details atomically.

```
import { DynamoDBClient, TransactWriteItemsCommand } from "@aws-sdk/client-dynamodb";

// Create a DynamoDBClient instance
const client = new DynamoDBClient({
    region: 'eu-west-1'
});

// Define the parameters for the transaction
const params = {
  TransactItems: [
    {
      Update: {
        TableName: 'InventoryTable',
        Key: { productId: 'product1' },
        UpdateExpression: 'SET quantity = quantity - :quantity',
        ConditionExpression: 'quantity >= :quantity',
        ExpressionAttributeValues: { ':quantity': 1 },
        ReturnValuesOnConditionCheckFailure: 'ALL_OLD'
      }
    },
    {
      Put: {
        TableName: 'OrderTable',
        Item: {
          orderId: 'order123',
          productId: 'product1',
          quantity: 1,
          customerName: 'John Doe'
        },
      }
    }
  ]
};

try {
    const command = new TransactWriteItemsCommand(params);
    const data = await client.send(command);
    console.log('Transaction executed successfully:', data);
} catch (err) {
    console.error('Unable to execute transaction. Error:', err);
}
```

**Example 2:**
We want to implement a transaction that allows a user to like a post and update the corresponding user’s and post’s data atomically.

```
import { DynamoDBClient, TransactWriteItemsCommand } from "@aws-sdk/client-dynamodb";


const client = new DynamoDBClient({
    region: 'eu-west-1'
});

const params = {
    TransactItems: [
        {
            Update: {
                TableName: 'PostsTable',
                Key: { postId: 'post123'},
                UpdateExpression: 'SET likes = likes + :increment',
                ExpressionAttributeValues: { ':increment': 1 }
            }
        },
        {
            Update: {
                TableName: 'UsersTable',
                Key: { userId: 'user456' },
                UpdateExpression: 'ADD likedPosts :postIds',
                ExpressionAttributeValues: { ':postIds': ['post123'] }
            }
        },
        {
            Update: {
                TableName: 'PostsTable',
                Key: { postId: 'post123' },
                UpdateExpression: 'ADD likedBy :userIds',
                ExpressionAttributeValues: { ':userIds': ['user456'] }
            }
        }
    ]
};

try {
    const command = new TransactWriteItemsCommand(params);
    const data = await client.send(command);
    console.log('Transaction executed successfully:', data);
} catch (err) {
    console.error('Unable to execute transaction. Error:', err);
}
```

### Conclusion
Amazon DynamoDB transactions provide developers with powerful tools for ensuring data consistency and integrity in high-throughput applications. By adhering to the principles of ACID and offering support for atomic, consistent, isolated, and durable transactions, DynamoDB equips developers to build robust and reliable systems capable of handling complex transactional workflows. Understanding and effectively leveraging DynamoDB transactions are essential for building scalable and resilient applications on AWS.