@aws-sdk/lib-dynamodb

What is @aws-sdk/lib-dynamodb?

The @aws-sdk/lib-dynamodb package is a library that provides a simpler interface for interacting with Amazon DynamoDB from JavaScript applications. It is part of the AWS SDK for JavaScript (v3) and offers an abstraction over the lower-level DynamoDB client, making it easier to work with DynamoDB using JavaScript objects and syntax.

What are @aws-sdk/lib-dynamodb's main functionalities?

Performing CRUD Operations

This feature allows you to create, read, update, and delete items in a DynamoDB table. The code sample demonstrates how to insert an item into a DynamoDB table using the PutCommand.

{"PutCommand": "const { DynamoDBDocumentClient, PutCommand } = require('@aws-sdk/lib-dynamodb'); const client = DynamoDBDocumentClient.from(new DynamoDBClient({})); const putCommand = new PutCommand({ TableName: 'MyTable', Item: { id: '1', content: 'example' } }); client.send(putCommand);"}

Querying and Scanning Tables

This feature allows you to query items using a key condition expression or scan the entire table. The code sample shows how to query items from a DynamoDB table where the 'id' attribute matches a specific value.

{"QueryCommand": "const { DynamoDBDocumentClient, QueryCommand } = require('@aws-sdk/lib-dynamodb'); const client = DynamoDBDocumentClient.from(new DynamoDBClient({})); const queryCommand = new QueryCommand({ TableName: 'MyTable', KeyConditionExpression: 'id = :id', ExpressionAttributeValues: { ':id': '1' } }); client.send(queryCommand);"}

Batch Operations

This feature allows you to perform batch operations, such as batch writes (put and delete), on multiple items across one or more tables. The code sample demonstrates how to perform a batch write operation to put and delete items in a DynamoDB table.

{"BatchWriteCommand": "const { DynamoDBDocumentClient, BatchWriteCommand } = require('@aws-sdk/lib-dynamodb'); const client = DynamoDBDocumentClient.from(new DynamoDBClient({})); const batchWriteCommand = new BatchWriteCommand({ RequestItems: { 'MyTable': [ { PutRequest: { Item: { id: '2', content: 'example2' } } }, { DeleteRequest: { Key: { id: '3' } } } ] } }); client.send(batchWriteCommand);"}

Transaction Support

This feature allows you to perform multiple put, update, and delete operations across multiple tables atomically. The code sample shows how to use the TransactWriteItemsCommand to perform atomic transactions in DynamoDB.

{"TransactWriteItemsCommand": "const { DynamoDBDocumentClient, TransactWriteItemsCommand } = require('@aws-sdk/lib-dynamodb'); const client = DynamoDBDocumentClient.from(new DynamoDBClient({})); const transactWriteItemsCommand = new TransactWriteItemsCommand({ TransactItems: [ { Put: { TableName: 'MyTable', Item: { id: '4', content: 'example4' } } }, { Delete: { TableName: 'MyTable', Key: { id: '5' } } } ] }); client.send(transactWriteItemsCommand);"}

Other packages similar to @aws-sdk/lib-dynamodb

dynamoose

Dynamoose is a modeling tool for Amazon DynamoDB that provides a higher-level abstraction than @aws-sdk/lib-dynamodb. It offers features like schema definition, validation, and more complex query capabilities. It is designed to be similar to Mongoose, which is a modeling tool for MongoDB.

dynamo-types

Dynamo-types is a TypeScript library that provides a strong-typed way to define models for DynamoDB tables. It offers decorators to define table schemas and is built on top of the AWS SDK. It is more TypeScript-oriented compared to @aws-sdk/lib-dynamodb, which is more JavaScript-focused.

README

@aws-sdk/lib-dynamodb

Overview

The document client simplifies working with items in Amazon DynamoDB by abstracting away the notion of attribute values. This abstraction annotates native JavaScript types supplied as input parameters, as well as converts annotated response data to native JavaScript types.

Marshalling Input and Unmarshalling Response Data

The document client affords developers the use of native JavaScript types instead of AttributeValues to simplify the JavaScript development experience with Amazon DynamoDB. JavaScript objects passed in as parameters are marshalled into AttributeValue shapes required by Amazon DynamoDB. Responses from DynamoDB are unmarshalled into plain JavaScript objects by the DocumentClient. The DocumentClient does not accept AttributeValues in favor of native JavaScript types.

JavaScript Type	DynamoDB AttributeValue
String	S
Number / BigInt / NumberValue	N
Boolean	BOOL
null	NULL
Array	L
Object	M
Set<Uint8Array, Blob, ...>	BS
Set<Number, BigInt, NumberValue>	NS
Set<String>	SS
Uint8Array, Buffer, File, Blob...	B

Example

Here is an example list which is sent to DynamoDB client in an operation:

{ "L": [{ "NULL": true }, { "BOOL": false }, { "N": 1 }, { "S": "two" }] }

The DynamoDB document client abstracts the attribute values as follows in both input and output:

[null, false, 1, "two"]

Usage

To create document client, you need to create DynamoDB client first as follows:

import { DynamoDBClient } from "@aws-sdk/client-dynamodb"; // ES6 import
// const { DynamoDBClient } = require("@aws-sdk/client-dynamodb"); // CommonJS import

// Bare-bones DynamoDB Client
const client = new DynamoDBClient({});

import { DynamoDB } from "@aws-sdk/client-dynamodb"; // ES6 import
// const { DynamoDB } = require("@aws-sdk/client-dynamodb"); // CommonJS import

// Full DynamoDB Client
const client = new DynamoDB({});

The bare-bones clients are more modular. They reduce bundle size and improve loading performance over full clients as explained in blog post on modular packages in AWS SDK for JavaScript.

Constructor

Once DynamoDB client is created, you can either create the bare-bones document client or full document client as follows:

import { DynamoDBDocumentClient } from "@aws-sdk/lib-dynamodb"; // ES6 import
// const { DynamoDBDocumentClient } = require("@aws-sdk/lib-dynamodb"); // CommonJS import

// Bare-bones document client
const ddbDocClient = DynamoDBDocumentClient.from(client); // client is DynamoDB client

import { DynamoDBDocument } from "@aws-sdk/lib-dynamodb"; // ES6 import
// const { DynamoDBDocument } = require("@aws-sdk/lib-dynamodb"); // CommonJS import

// Full document client
const ddbDocClient = DynamoDBDocument.from(client); // client is DynamoDB client

Configuration

The configuration for marshalling and unmarshalling can be sent as an optional second parameter during creation of document client as follows:

export interface marshallOptions {
  /**
   * Whether to automatically convert empty strings, blobs, and sets to `null`
   */
  convertEmptyValues?: boolean;
  /**
   * Whether to remove undefined values while marshalling.
   */
  removeUndefinedValues?: boolean;
  /**
   * Whether to convert typeof object to map attribute.
   */
  convertClassInstanceToMap?: boolean;
  /**
   * Whether to convert the top level container
   * if it is a map or list.
   *
   * Default is true when using the DynamoDBDocumentClient,
   * but false if directly using the marshall function (backwards compatibility).
   */
  convertTopLevelContainer?: boolean;
  /**
   * Whether to allow numbers beyond Number.MAX_SAFE_INTEGER during marshalling.
   * When set to true, allows numbers that may lose precision when converted to JavaScript numbers.
   * When false (default), throws an error if a number exceeds Number.MAX_SAFE_INTEGER to prevent
   * unintended loss of precision. Consider using the NumberValue type from @aws-sdk/lib-dynamodb
   * for precise handling of large numbers.
   */
  allowImpreciseNumbers?: boolean;
}

export interface unmarshallOptions {
  /**
   * Whether to modify how numbers are unmarshalled from DynamoDB.
   * When set to true, returns numbers as NumberValue instances instead of native JavaScript numbers.
   * This allows for the safe round-trip transport of numbers of arbitrary size.
   *
   * If a function is provided, it will be called with the string representation of numbers to handle
   * custom conversions (e.g., using BigInt or decimal libraries).
   */
  wrapNumbers?: boolean | ((value: string) => number | bigint | NumberValue | any);
  /**
   * When true, skip wrapping the data in `{ M: data }` before converting.
   *
   * Default is true when using the DynamoDBDocumentClient,
   * but false if directly using the unmarshall function (backwards compatibility).
   */
  convertWithoutMapWrapper?: boolean;
}

const marshallOptions: marshallOptions = {};
const unmarshallOptions: unmarshallOptions = {};

const translateConfig = { marshallOptions, unmarshallOptions };

const client = new DynamoDBClient({});
const ddbDocClient = DynamoDBDocument.from(client, translateConfig);

Calling operations

You can call the document client operations using command objects on bare-bones client as follows:

import { DynamoDBDocumentClient, PutCommand } from "@aws-sdk/lib-dynamodb";

// ... DynamoDB client creation

const ddbDocClient = DynamoDBDocumentClient.from(client);
// Call using bare-bones client and Command object.
await ddbDocClient.send(
  new PutCommand({
    TableName,
    Item: {
      id: "1",
      content: "content from DynamoDBDocumentClient",
    },
  })
);

You can also call operations on full client as follows:

import { DynamoDBDocument } from "@aws-sdk/lib-dynamodb";

// ... DynamoDB client creation

const ddbDocClient = DynamoDBDocument.from(client);
// Call using full client.
await ddbDocClient.put({
  TableName,
  Item: {
    id: "2",
    content: "content from DynamoDBDocument",
  },
});

Large Numbers and NumberValue.

On the input or marshalling side, the class NumberValue can be used anywhere to represent a DynamoDB number value, even small numbers.

import { DynamoDB } from "@aws-sdk/client-dynamodb";
import { NumberValue, DynamoDBDocument } from "@aws-sdk/lib-dynamodb";

// Note, the client will not validate the acceptability of the number
// in terms of size or format.
// It is only here to preserve your precise representation.
const client = DynamoDBDocument.from(new DynamoDB({}));

await client.put({
  Item: {
    id: 1,
    smallNumber: NumberValue.from("123"),
    bigNumber: NumberValue.from("1000000000000000000000.000000000001"),
    nSet: new Set([123, NumberValue.from("456"), 789]),
  },
});

On the output or unmarshalling side, the class NumberValue is used depending on your setting for the unmarshallOptions flag wrapnumbers, shown above.

import { DynamoDB } from "@aws-sdk/client-dynamodb";
import { NumberValue, DynamoDBDocument } from "@aws-sdk/lib-dynamodb";

const client = DynamoDBDocument.from(new DynamoDB({}));

const response = await client.get({
  Key: {
    id: 1,
  },
});

/**
 * Numbers in the response may be a number, a BigInt, or a NumberValue depending
 * on how you set `wrapNumbers`.
 */
const value = response.Item.bigNumber;

You can also provide a custom function to handle number conversion during unmarshalling:

const client = DynamoDBDocument.from(new DynamoDB({}), {
  unmarshallOptions: {
    // Use BigInt for all numbers
    wrapNumbers: (str) => BigInt(str),
  },
});

const response = await client.get({
  Key: { id: 1 },
});

// Numbers in response will be BigInt instead of NumberValue or regular numbers

NumberValue does not provide a way to do mathematical operations on itself. To do mathematical operations, take the string value of NumberValue by calling .toString() and supply it to your chosen big number implementation.

The client protects against precision loss by throwing an error on large numbers, but you can either allow imprecise values with allowImpreciseNumbers or maintain exact precision using NumberValue.

const preciseValue = "34567890123456789012345678901234567890";

// 1. Default behavior - will throw error
await client.send(
  new PutCommand({
    TableName: "Table",
    Item: {
      id: "1",
      number: Number(preciseValue), // Throws error: Number is greater than Number.MAX_SAFE_INTEGER
    },
  })
);

// 2. Using allowImpreciseNumbers - will store but loses precision (mimics the v2 implicit behavior)
const impreciseClient = DynamoDBDocumentClient.from(new DynamoDBClient({}), {
  marshallOptions: { allowImpreciseNumbers: true },
});
await impreciseClient.send(
  new PutCommand({
    TableName: "Table",
    Item: {
      id: "2",
      number: Number(preciseValue), // Loses precision 34567890123456790000000000000000000000n
    },
  })
);

Client and Command middleware stacks

As with other AWS SDK for JavaScript v3 clients, you can apply middleware functions both on the client itself and individual Commands.

For individual Commands, here are examples of how to add middleware before and after both marshalling and unmarshalling. We will use QueryCommand as an example. Others follow the same pattern.

import { DynamoDBDocumentClient, QueryCommand } from "@aws-sdk/lib-dynamodb";

const client = new DynamoDBClient({
  /*...*/
});
const doc = DynamoDBDocumentClient.from(client);
const command = new QueryCommand({
  /*...*/
});

Before and after marshalling:

command.middlewareStack.addRelativeTo(
  (next) => async (args) => {
    console.log("pre-marshall", args.input);
    return next(args);
  },
  {
    relation: "before",
    toMiddleware: "DocumentMarshall",
  }
);
command.middlewareStack.addRelativeTo(
  (next) => async (args) => {
    console.log("post-marshall", args.input);
    return next(args);
  },
  {
    relation: "after",
    toMiddleware: "DocumentMarshall",
  }
);

Before and after unmarshalling:

command.middlewareStack.addRelativeTo(
  (next) => async (args) => {
    const result = await next(args);
    console.log("pre-unmarshall", result.output.Items);
    return result;
  },
  {
    relation: "after", // <- after for pre-unmarshall
    toMiddleware: "DocumentUnmarshall",
  }
);
command.middlewareStack.addRelativeTo(
  (next) => async (args) => {
    const result = await next(args);
    console.log("post-unmarshall", result.output.Items);
    return result;
  },
  {
    relation: "before", // <- before for post-unmarshall
    toMiddleware: "DocumentUnmarshall",
  }
);

Destroying document client

The destroy() call on document client is a no-op as document client does not create a new DynamoDB client. You need to call destroy() on DynamoDB client to clean resources used by it as shown below.

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

// Perform operations on document client.

ddbDocClient.destroy(); // no-op
client.destroy(); // destroys DynamoDBClient

Changelog

3.699.0 (2024-11-22)

Bug Fixes

• credential-provider-ini: pass clientConfig to sso and sso-oidc inner clients (#6688) (0ca3da3)

Features

• client-auto-scaling: Now, Amazon EC2 Auto Scaling customers can enable target tracking policies to take quicker scaling decisions, enhancing their application performance and EC2 utilization. To get started, specify target tracking to monitor a metric that is available on Amazon CloudWatch at seconds-level interval. (26d5f85)
• client-bcm-pricing-calculator: Initial release of the AWS Billing and Cost Management Pricing Calculator API. (13fd8a4)
• client-bedrock-agent-runtime: InvokeInlineAgent API release to help invoke runtime agents without any dependency on preconfigured agents. (372482a)
• client-chatbot: Adds support for programmatic management of custom actions and aliases which can be associated with channel configurations. (acdb624)
• client-codepipeline: AWS CodePipeline V2 type pipelines now support ECRBuildAndPublish and InspectorScan actions. (cce4188)
• client-cognito-identity-provider: Add support for users to sign up and sign in without passwords, using email and SMS OTPs and Passkeys. Add support for Passkeys based on WebAuthn. Add support for enhanced branding customization for hosted authentication pages with Amazon Cognito Managed Login. Add feature tiers with new pricing. (3ef966f)
• client-connect: Amazon Connect Service Feature: Add APIs for Amazon Connect Email Channel (a83926c)
• client-cost-explorer: This release adds the Impact field(contains Contribution field) to the GetAnomalies API response under RootCause (af7c9b2)
• client-elastic-load-balancing-v2: This release adds support for advertising trusted CA certificate names in associated trust stores. (5e46efc)
• client-emr: Advanced Scaling in Amazon EMR Managed Scaling (4092279)
• client-inspector2: Extend inspector2 service model to include ServiceQuotaExceededException. (dc13e07)
• client-lambda: Add ProvisionedPollerConfig to Lambda event-source-mapping API. (511ab41)
• client-mailmanager: Added new "DeliverToQBusiness" rule action to MailManager RulesSet for ingesting email data into Amazon Q Business customer applications (048d165)
• client-neptune-graph: Add 4 new APIs to support new Export features, allowing Parquet and CSV formats. Add new arguments in Import APIs to support Parquet import. Add a new query "neptune.read" to run algorithms without loading data into database (48054dc)
• client-omics: This release adds support for resource policy based cross account S3 access to sequence store read sets. (dbe3f07)
• client-quicksight: This release includes: Update APIs to support Image, Layer Map, font customization, and Plugin Visual. Add Identity center related information in ListNamsespace API. Update API for restrictedFolder support in topics and add API for SearchTopics, Describe/Update DashboardsQA Configration. (df75ca5)
• client-sagemaker: This release adds APIs for new features for SageMaker endpoint to scale down to zero instances, native support for multi-adapter inference, and endpoint scaling improvements. (f082da5)
• client-ses: This release adds support for starting email contacts in your Amazon Connect instance as an email receiving action. (14fc94c)
• client-sfn: Add support for variables and JSONata in TestState, GetExecutionHistory, DescribeStateMachine, and DescribeStateMachineForExecution (c9c278a)
• clients: update client endpoints as of 2024-11-22 (bcd27a2)