Throttled Requests

Throttled Requests Overview

At its core, throttled requests is about doing one thing well inside your DynamoDB project. Once you understand the pattern, you can apply it consistently across features and teams.

Good throttled requests pays off across the whole codebase: fewer surprises, easier testing, and smoother onboarding. The snippet below is a solid starting point.

import { DynamoDBClient } from '@aws-sdk/client-dynamodb';
import { DynamoDBDocumentClient, GetCommand, PutCommand } from '@aws-sdk/lib-dynamodb';

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

// reuse docClient across the module for efficient, typed access
await docClient.send(new PutCommand({ TableName: 'Orders', Item: { pk: '1' } }));

The DynamoDBDocumentClient maps plain JavaScript objects to DynamoDB item format for you.

Throttled Requests Example

import { DynamoDBClient } from '@aws-sdk/client-dynamodb';
import { DynamoDBDocumentClient } from '@aws-sdk/lib-dynamodb';

const docClient = DynamoDBDocumentClient.from(new DynamoDBClient({}));
// docClient.send(new PutCommand(...)) etc.

• Start from a minimal Throttled Requests example and grow it only as needed.
• Keep configuration explicit so Throttled Requests behaves the same in every environment.
• Name things clearly so teammates understand your Throttled Requests at a glance.
• Add tests around Throttled Requests early to lock in expected behaviour.

Amazon DynamoDB Cheatsheet

Handy DynamoDB (AWS SDK v3) reference related to throttled requests.

How Throttled Requests Works in DynamoDB

Throttled Requests builds on DynamoDB's key-value and document model, where every item lives in a partition chosen by its partition key and is optionally ordered by a sort key.

The DynamoDBDocumentClient maps plain JavaScript objects to DynamoDB item format for you.

• Design access patterns first, then model keys around them.
• Prefer Query over Scan for predictable performance.
• Use expressions to read and write only what you need.
• Keep items small and avoid hot partitions.

Practical Guidance for Throttled Requests

In production, throttled requests should be cost-aware and resilient. Right-size capacity, handle throttling with retries, and lean on indexes to support your query patterns.

Common Mistakes

• Skipping error handling and edge cases when wiring up throttled requests.
• Leaving throttled requests untested, so regressions slip into production.
• Over-engineering throttled requests before you actually need the extra flexibility.
• Ignoring documentation, which makes throttled requests hard for the next developer to change.

Key Takeaways

• Throttled Requests is a core part of working effectively with DynamoDB.
• Start small and keep throttled requests focused on a single responsibility.
• Apply consistent patterns so throttled requests scales across your project.
• Test and document throttled requests to keep it maintainable over time.