Scan Pagination

Understanding scan pagination helps you work with DynamoDB confidently. Here you will learn the core ideas behind scan pagination, see working code, and pick up best practices used on real teams.

Scan Pagination Overview

Scan Pagination lets you structure DynamoDB work so it stays readable, testable, and easy to scale. Instead of ad-hoc code, you follow a clear pattern that other developers can recognise immediately.

The key is to keep scan pagination focused and predictable. Start from the minimal example here, then layer in only the complexity your feature actually needs.

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

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

const { Items } = await docClient.send(new QueryCommand({
  TableName: 'Orders',
  KeyConditionExpression: 'pk = :pk AND begins_with(sk, :prefix)',
  ExpressionAttributeValues: { ':pk': 'USER#42', ':prefix': 'ORDER#' },
  Limit: 25,
}));

QueryCommand reads a partition efficiently using key conditions; add IndexName for a GSI.

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

Amazon DynamoDB Cheatsheet

Handy DynamoDB (AWS SDK v3) reference related to scan pagination.

Operation	Command	Purpose
Create/replace	`PutCommand`	Write an item
Read one	`GetCommand`	Fetch by primary key
Update	`UpdateCommand`	Modify attributes
Delete	`DeleteCommand`	Remove an item
Query	`QueryCommand`	Efficient key-based read
Scan	`ScanCommand`	Full-table read (avoid)
Transaction	`TransactWriteCommand`	Atomic multi-item writes

How Scan Pagination Works in DynamoDB

Scan Pagination 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.

QueryCommand reads a partition efficiently using key conditions; add IndexName for a GSI.

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 Scan Pagination

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

Concern	Recommendation
Performance	Query by key; avoid table scans
Cost	Use on-demand or right-sized provisioned capacity
Modeling	Design for known access patterns
Reliability	Retry throttled requests with backoff

Common Mistakes

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

Key Takeaways

Scan Pagination is a core part of working effectively with DynamoDB.
Start small and keep scan pagination focused on a single responsibility.
Apply consistent patterns so scan pagination scales across your project.
Test and document scan pagination to keep it maintainable over time.

Pro Tip

When you get stuck on scan pagination, reduce it to the smallest reproducible example first — most DynamoDB issues become obvious once the noise is gone.