Using the DynamoDB Document Client - AWS SDK for JavaScript
The ScenarioPrerequisite TasksGetting an Item from a TablePutting an Item in a TableUpdating an Item in a TableQuerying a TableDeleting an Item from a Table

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The AWS SDK for JavaScript V3 API Reference Guide describes in detail all the API operations for the AWS SDK for JavaScript version 3 (V3).

Using the DynamoDB Document Client

JavaScript code example that applies to Node.js execution

This Node.js code example shows:

  • How to access a DynamoDB table using the DynamoDB utilities.

The Scenario

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

For more information about the DynamoDB Document Client, see @aws-sdk/lib-dynamodb README on GitHub. For more information about programming with Amazon DynamoDB, see Programming with DynamoDB in the Amazon DynamoDB Developer Guide.

In this example, you use a series of Node.js modules to perform basic operations on a DynamoDB table using DynamoDB utilities. The code uses the SDK for JavaScript to query and scan tables using these methods of the DynamoDB class:

  • getItem

  • putItem

  • updateItem

  • query

  • deleteItem

For more information on configuring the DynamoDB document client, see @aws-sdk/lib-dynamodb.

Prerequisite Tasks

To set up and run this example, first complete these tasks:

Important

These examples use ECMAScript6 (ES6). This requires Node.js version 13.x or higher. To download and install the latest version of Node.js, see Node.js downloads..

However, if you prefer to use CommonJS sytax, please refer to JavaScript ES6/CommonJS syntax

Getting an Item from a Table

Create a libs directory, and create a Node.js module with the file name ddbDocClient.js. Copy and paste the code below into it, which creates the Amazon S3 client object. Replace REGION with your AWS region. 

import { DynamoDBDocumentClient} from "@aws-sdk/lib-dynamodb";
import {ddbClient} from "./ddbClient.js";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"

const marshallOptions = {
    // Whether to automatically convert empty strings, blobs, and sets to `null`.
    convertEmptyValues: false, // false, by default.
    // Whether to remove undefined values while marshalling.
    removeUndefinedValues: false, // false, by default.
    // Whether to convert typeof object to map attribute.
    convertClassInstanceToMap: false, // false, by default.
};

const unmarshallOptions = {
    // Whether to return numbers as a string instead of converting them to native JavaScript numbers.
    wrapNumbers: false, // false, by default.
};

const translateConfig = { marshallOptions, unmarshallOptions };

// Create the DynamoDB Document client.
const ddbDocClient = DynamoDBDocumentClient.from(ddbClient, translateConfig);

export { ddbDocClient };

This code is available here on GitHub.

In the libs directory create a Node.js module with the file name ddbClient.js. Copy and paste the code below into it, which creates the Amazon S3 client object. Replace REGION with your AWS region. 

import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon DynamoDB service client object.
const ddbClient = new DynamoDBClient({ region: REGION });
export { ddbClient };

This code is available here on GitHub.

Create a Node.js module with the file name ddbdoc_get_item.js. Be sure to configure the SDK as previously shown, including installing the required clients and packages. This includes the @aws-sdk/lib-dynamodb, a library package that provides document client functionality to @aws-sdk/client-dynamodb. Next, set the configuration as shown below for marshalling and unmarshalling - as an optional second parameter - during creation of document client. Next, create the clients. Now create a JSON object containing the parameters needed get an item from the table, which in this example includes the name of the table, the name of the hash key in that table, and the value of the hash key for the item you want to get. Call the GetCommand method of the DynamoDB Document client. 


import { GetCommand } from "@aws-sdk/lib-dynamodb";
import { ddbDocClient } from "./libs/ddbDocClient.js";

// Set the parameters.
const params = {
  TableName: "TABLE_NAME",
  /*
  Convert the key JavaScript object you are retrieving to the
  required Amazon DynamoDB record. The format of values specifies
  the datatype. The following list demonstrates different
  datatype formatting requirements:
  String: "String",
  NumAttribute: 1,
  BoolAttribute: true,
  ListAttribute: [1, "two", false],
  MapAttribute: { foo: "bar" },
  NullAttribute: null
   */
  Key: {
    primaryKey: "VALUE", // For example, 'Season': 2.
    sortKey: "VALUE", // For example,  'Episode': 1; (only required if table has sort key).
  },
};

const run = async () => {
  try {
    const data = await ddbDocClient.send(new GetCommand(params));
    console.log("Success :", data.Item);
    return data;
  } catch (err) {
    console.log("Error", err);
  }
};
run();

To run the example, enter the following at the command prompt.

node ddbdoc_get_item.js // To use JavaScript, enter 'node ddbdoc_get_item.js

This example code can be found here on GitHub.

Putting an Item in a Table

Create a libs directory, and create a Node.js module with the file name ddbDocClient.js. Copy and paste the code below into it, which creates the Amazon S3 client object. Replace REGION with your AWS region. 

import { DynamoDBDocumentClient} from "@aws-sdk/lib-dynamodb";
import {ddbClient} from "./ddbClient.js";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"

const marshallOptions = {
    // Whether to automatically convert empty strings, blobs, and sets to `null`.
    convertEmptyValues: false, // false, by default.
    // Whether to remove undefined values while marshalling.
    removeUndefinedValues: false, // false, by default.
    // Whether to convert typeof object to map attribute.
    convertClassInstanceToMap: false, // false, by default.
};

const unmarshallOptions = {
    // Whether to return numbers as a string instead of converting them to native JavaScript numbers.
    wrapNumbers: false, // false, by default.
};

const translateConfig = { marshallOptions, unmarshallOptions };

// Create the DynamoDB Document client.
const ddbDocClient = DynamoDBDocumentClient.from(ddbClient, translateConfig);

export { ddbDocClient };

This code is available here on GitHub.

In the libs directory create a Node.js module with the file name ddbClient.js. Copy and paste the code below into it, which creates the Amazon S3 client object. Replace REGION with your AWS region. 

import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon DynamoDB service client object.
const ddbClient = new DynamoDBClient({ region: REGION });
export { ddbClient };

This code is available here on GitHub.

Create a Node.js module with the file name ddbdoc_put_item.js. Be sure to configure the SDK as previously shown, including installing the required clients and packages. This includes the @aws-sdk/lib-dynamodb, a library package that provides document client functionality to @aws-sdk/client-dynamodb. Next, set the configuration as shown below for marshalling and unmarshalling - as an optional second parameter - during creation of document client. Next, create the clients. Create a JSON object containing the parameters needed to write an item to the table, which in this example includes the name of the table and a description of the item to add or update that includes the hashkey and value and names and values for attributes to set on the item. Call the PutCommand method of the DynamoDB Document client. 


import { PutCommand } from "@aws-sdk/lib-dynamodb";
import { ddbDocClient } from "./libs/ddbDocClient.js";

// Set the parameters.
const params = {
  TableName: "TABLE_NAME",
  /*
    Convert the key JavaScript object you are adding to the
    required Amazon DynamoDB record. The format of values specifies
    the datatype. The following list demonstrates different
    datatype formatting requirements:
    String: "String",
    NumAttribute: 1,
    BoolAttribute: true,
    ListAttribute: [1, "two", false],
    MapAttribute: { foo: "bar" },
    NullAttribute: null
     */
  Item: {
    primaryKey: "VALUE_1", // For example, 'Season': 2
    sortKey: "VALUE_2", // For example,  'Episode': 2 (only required if table has sort key)
    NEW_ATTRIBUTE_1: "NEW_ATTRIBUTE_1_VALUE", //For example 'Title': 'The Beginning'
  },
};

const run = async () => {
  try {
    const data = await ddbDocClient.send(new PutCommand(params));
    console.log("Success - item added or updated", data);
    return data;
  } catch (err) {
    console.log("Error", err);
  }
};
run();

To run the example, enter the following at the command prompt.

node ddbdoc_put_item.js // To use JavaScript, enter 'node ddbdoc_put_item.js'

This example code can be found here on GitHub.

Updating an Item in a Table

Create a libs directory, and create a Node.js module with the file name ddbDocClient.js. Copy and paste the code below into it, which creates the Amazon S3 client object. Replace REGION with your AWS region. 

import { DynamoDBDocumentClient} from "@aws-sdk/lib-dynamodb";
import {ddbClient} from "./ddbClient.js";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"

const marshallOptions = {
    // Whether to automatically convert empty strings, blobs, and sets to `null`.
    convertEmptyValues: false, // false, by default.
    // Whether to remove undefined values while marshalling.
    removeUndefinedValues: false, // false, by default.
    // Whether to convert typeof object to map attribute.
    convertClassInstanceToMap: false, // false, by default.
};

const unmarshallOptions = {
    // Whether to return numbers as a string instead of converting them to native JavaScript numbers.
    wrapNumbers: false, // false, by default.
};

const translateConfig = { marshallOptions, unmarshallOptions };

// Create the DynamoDB Document client.
const ddbDocClient = DynamoDBDocumentClient.from(ddbClient, translateConfig);

export { ddbDocClient };

In the libs directory create a Node.js module with the file name ddbClient.js. Copy and paste the code below into it, which creates the Amazon S3 client object. Replace REGION with your AWS region. 

import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon DynamoDB service client object.
const ddbClient = new DynamoDBClient({ region: REGION });
export { ddbClient };

This code is available here on GitHub.

This code is available here on GitHub.

Create a Node.js module with the file name ddbdoc_update_item.js. Be sure to configure the SDK as previously shown, including installing the required clients and packages. This includes the @aws-sdk/lib-dynamodb, a library package that provides document client functionality to @aws-sdk/client-dynamodb. Next, set the configuration as shown below for marshalling and unmarshalling - as an optional second parameter - during creation of document client. Next, create the clients. Create a JSON object containing the parameters needed to write an item to the table, which in this example includes the name of the table, the key of the item to update, a set of UpdateExpressions that define the attributes of the item to update with tokens you assign values to in the ExpressionAttributeValues parameters.Call the UpdateCommand method of the DynamoDB Document client. 

import { UpdateCommand } from "@aws-sdk/lib-dynamodb";
import { ddbDocClient } from "./libs/ddbDocClient.js";

// Set the parameters
const params = {
  TableName: "TABLE_NAME",
  /*
  Convert the attribute JavaScript object you are updating to the required
  Amazon  DynamoDB record. The format of values specifies the datatype. The
  following list demonstrates different datatype formatting requirements:
  String: "String",
  NumAttribute: 1,
  BoolAttribute: true,
  ListAttribute: [1, "two", false],
  MapAttribute: { foo: "bar" },
  NullAttribute: null
   */
  Key: {
    primaryKey: "VALUE_1", // For example, 'Season': 2.
    sortKey: "VALUE_2", // For example,  'Episode': 1; (only required if table has sort key).
  },
  // Define expressions for the new or updated attributes
  UpdateExpression: "set ATTRIBUTE_NAME_1 = :t, ATTRIBUTE_NAME_2 = :s", // For example, "'set Title = :t, Subtitle = :s'"
  ExpressionAttributeValues: {
    ":t": "NEW_ATTRIBUTE_VALUE_1", // For example ':t' : 'NEW_TITLE'
    ":s": "NEW_ATTRIBUTE_VALUE_2", // For example ':s' : 'NEW_SUBTITLE'
  },
};

const run = async () => {
  try {
    const data = await ddbDocClient.send(new UpdateCommand(params));
    console.log("Success - item added or updated", data);
    return data;
  } catch (err) {
    console.log("Error", err);
  }
};
run();

To run the example, enter the following at the command prompt.

node ddbdoc_update_item.js

This example code can be found here on GitHub.

Querying a Table

Create a libs directory, and create a Node.js module with the file name ddbDocClient.js. Copy and paste the code below into it, which creates the Amazon S3 client object. Replace REGION with your AWS region. 

import { DynamoDBDocumentClient} from "@aws-sdk/lib-dynamodb";
import {ddbClient} from "./ddbClient.js";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"

const marshallOptions = {
    // Whether to automatically convert empty strings, blobs, and sets to `null`.
    convertEmptyValues: false, // false, by default.
    // Whether to remove undefined values while marshalling.
    removeUndefinedValues: false, // false, by default.
    // Whether to convert typeof object to map attribute.
    convertClassInstanceToMap: false, // false, by default.
};

const unmarshallOptions = {
    // Whether to return numbers as a string instead of converting them to native JavaScript numbers.
    wrapNumbers: false, // false, by default.
};

const translateConfig = { marshallOptions, unmarshallOptions };

// Create the DynamoDB Document client.
const ddbDocClient = DynamoDBDocumentClient.from(ddbClient, translateConfig);

export { ddbDocClient };

This code is available here on GitHub.

In the libs directory create a Node.js module with the file name ddbClient.js. Copy and paste the code below into it, which creates the Amazon S3 client object. Replace REGION with your AWS region. 

import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon DynamoDB service client object.
const ddbClient = new DynamoDBClient({ region: REGION });
export { ddbClient };

This code is available here on GitHub.

This example queries a table that contains episode information about a video series, returning the episode titles and subtitles of second season episodes past episode 9 that contain a specified phrase in their subtitle.

Create a Node.js module with the file name ddbdoc_query_item.js. Be sure to configure the SDK as previously shown, including installing the required clients and packages. This includes the @aws-sdk/lib-dynamodb, a library package that provides document client functionality to @aws-sdk/client-dynamodb. Create a JSON object containing the parameters needed to query the table, which in this example includes the table name, the ExpressionAttributeValues needed by the query, and a KeyConditionExpression that uses those values to define which items the query returns. Call the QueryCommand method of the DynamoDB client. 

import { QueryCommand } from "@aws-sdk/lib-dynamodb";
import { ddbDocClient } from "./libs/ddbDocClient.js";

// Set the parameters
const params = {
  TableName: "TABLE_NAME",
  /*
  Convert the JavaScript object defining the objects to the required
  Amazon DynamoDB record. The format of values specifies the datatype. The
  following list demonstrates different datatype formatting requirements:
  String: "String",
  NumAttribute: 1,
  BoolAttribute: true,
  ListAttribute: [1, "two", false],
  MapAttribute: { foo: "bar" },
  NullAttribute: null
   */
  ExpressionAttributeValues: {
    ":s": 1,
    ":e": 1,
    ":topic": "Title2",
  },
  // Specifies the values that define the range of the retrieved items. In this case, items in Season 2 before episode 9.
  KeyConditionExpression: "Season = :s and Episode > :e",
  // Filter that returns only episodes that meet previous criteria and have the subtitle 'The Return'
  FilterExpression: "contains (Subtitle, :topic)",
};

const run = async () => {
  try {
    const data = await ddbDocClient.send(new QueryCommand(params));
    console.log("Success. Item details: ", data.Items);
    return data;
  } catch (err) {
    console.log("Error", err);
  }
};
run();

To run the example, enter the following at the command prompt.

node ddbdoc_query_item.js

This example code can be found here on GitHub.

Deleting an Item from a Table

Create a libs directory, and create a Node.js module with the file name ddbDocClient.js. Copy and paste the code below into it, which creates the Amazon S3 client object. Replace REGION with your AWS region. 

import { DynamoDBDocumentClient} from "@aws-sdk/lib-dynamodb";
import {ddbClient} from "./ddbClient.js";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"

const marshallOptions = {
    // Whether to automatically convert empty strings, blobs, and sets to `null`.
    convertEmptyValues: false, // false, by default.
    // Whether to remove undefined values while marshalling.
    removeUndefinedValues: false, // false, by default.
    // Whether to convert typeof object to map attribute.
    convertClassInstanceToMap: false, // false, by default.
};

const unmarshallOptions = {
    // Whether to return numbers as a string instead of converting them to native JavaScript numbers.
    wrapNumbers: false, // false, by default.
};

const translateConfig = { marshallOptions, unmarshallOptions };

// Create the DynamoDB Document client.
const ddbDocClient = DynamoDBDocumentClient.from(ddbClient, translateConfig);

export { ddbDocClient };

This code is available here on GitHub.

In the libs directory create a Node.js module with the file name ddbClient.js. Copy and paste the code below into it, which creates the Amazon S3 client object. Replace REGION with your AWS region. 

import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon DynamoDB service client object.
const ddbClient = new DynamoDBClient({ region: REGION });
export { ddbClient };

This code is available here on GitHub.

Create a Node.js module with the file name ddbdoc_delete_item.js. Be sure to configure the SDK as previously shown, including installing the required clients and packages. This includes the @aws-sdk/lib-dynamodb, a library package that provides document client functionality to @aws-sdk/client-dynamodb. Next, set the configuration as shown below for marshalling and unmarshalling - as an optional second parameter - during creation of document client. Next, create the clients. To access DynamoDB, create a DynamoDB object. Create a JSON object containing the parameters needed to delete an item in the table, which in this example includes the name of the table and the name and value of the hashkey of the item you want to delete. Call the DeleteCommand method of the DynamoDB client. 


import { DeleteCommand } from "@aws-sdk/lib-dynamodb";
import { ddbDocClient } from "./libs/ddbDocClient.js";

// Set the parameters
const params = {
  TableName: "TABLE_NAME",
  /*
  Convert the key JavaScript object you are deleting to the
  required Amazon DynamoDB record. The format of values specifies
  the datatype. The following list demonstrates different
  datatype formatting requirements:
  String: "String",
  NumAttribute: 1,
  BoolAttribute: true,
  ListAttribute: [1, "two", false],
  MapAttribute: { foo: "bar" },
  NullAttribute: null
   */
  Key: {
    primaryKey: "VALUE_1", // For example, 'Season': 2.
    sortKey: "VALUE_2", // For example,  'Episode': 1; (only required if table has sort key).
  },
};

const run = async () => {
  try {
    const data = await ddbDocClient.send(new DeleteCommand(params));
    console.log("Success - item deleted");
    return data;
  } catch (err) {
    console.log("Error", err);
  }
};
run();

To run the example, enter the following at the command prompt.

node ddbdoc_delete_item.js

This example code can be found here on GitHub.