AWS SDK for JavaScript Glacier Client for Node.js, Browser and React Native.
Amazon S3 Glacier (Glacier) is a storage solution for "cold data."
Glacier is an extremely low-cost storage service that provides secure, durable, and easy-to-use storage for data backup and archival. With Glacier, customers can store their data cost effectively for months, years, or decades. Glacier also enables customers to offload the administrative burdens of operating and scaling storage to AWS, so they don't have to worry about capacity planning, hardware provisioning, data replication, hardware failure and recovery, or time-consuming hardware migrations.
Glacier is a great storage choice when low storage cost is paramount and your data is rarely retrieved. If your application requires fast or frequent access to your data, consider using Amazon S3. For more information, see Amazon Simple Storage Service (Amazon S3).
You can store any kind of data in any format. There is no maximum limit on the total amount of data you can store in Glacier.
If you are a first-time user of Glacier, we recommend that you begin by reading the following sections in the Amazon S3 Glacier Developer Guide:
-
What is Amazon S3 Glacier - This section of the Developer Guide describes the underlying data model, the operations it supports, and the AWS SDKs that you can use to interact with the service.
-
Getting Started with Amazon S3 Glacier - The Getting Started section walks you through the process of creating a vault, uploading archives, creating jobs to download archives, retrieving the job output, and deleting archives.
To install this package, simply type add or install @aws-sdk/client-glacier using your favorite package manager:
npm install @aws-sdk/client-glacier
yarn add @aws-sdk/client-glacier
pnpm add @aws-sdk/client-glacier
The AWS SDK is modulized by clients and commands.
To send a request, you only need to import the GlacierClient
and
the commands you need, for example ListVaultsCommand
:
// ES5 example
const { GlacierClient, ListVaultsCommand } = require("@aws-sdk/client-glacier");
// ES6+ example
import { GlacierClient, ListVaultsCommand } from "@aws-sdk/client-glacier";
To send a request, you:
- Initiate client with configuration (e.g. credentials, region).
- Initiate command with input parameters.
- Call
send
operation on client with command object as input. - If you are using a custom http handler, you may call
destroy()
to close open connections.
// a client can be shared by different commands.
const client = new GlacierClient({ region: "REGION" });
const params = {
/** input parameters */
};
const command = new ListVaultsCommand(params);
We recommend using await operator to wait for the promise returned by send operation as follows:
// async/await.
try {
const data = await client.send(command);
// process data.
} catch (error) {
// error handling.
} finally {
// finally.
}
Async-await is clean, concise, intuitive, easy to debug and has better error handling as compared to using Promise chains or callbacks.
You can also use Promise chaining to execute send operation.
client.send(command).then(
(data) => {
// process data.
},
(error) => {
// error handling.
}
);
Promises can also be called using .catch()
and .finally()
as follows:
client
.send(command)
.then((data) => {
// process data.
})
.catch((error) => {
// error handling.
})
.finally(() => {
// finally.
});
We do not recommend using callbacks because of callback hell, but they are supported by the send operation.
// callbacks.
client.send(command, (err, data) => {
// process err and data.
});
The client can also send requests using v2 compatible style. However, it results in a bigger bundle size and may be dropped in next major version. More details in the blog post on modular packages in AWS SDK for JavaScript
import * as AWS from "@aws-sdk/client-glacier";
const client = new AWS.Glacier({ region: "REGION" });
// async/await.
try {
const data = await client.listVaults(params);
// process data.
} catch (error) {
// error handling.
}
// Promises.
client
.listVaults(params)
.then((data) => {
// process data.
})
.catch((error) => {
// error handling.
});
// callbacks.
client.listVaults(params, (err, data) => {
// process err and data.
});
When the service returns an exception, the error will include the exception information, as well as response metadata (e.g. request id).
try {
const data = await client.send(command);
// process data.
} catch (error) {
const { requestId, cfId, extendedRequestId } = error.$metadata;
console.log({ requestId, cfId, extendedRequestId });
/**
* The keys within exceptions are also parsed.
* You can access them by specifying exception names:
* if (error.name === 'SomeServiceException') {
* const value = error.specialKeyInException;
* }
*/
}
Please use these community resources for getting help. We use the GitHub issues for tracking bugs and feature requests, but have limited bandwidth to address them.
- Visit Developer Guide or API Reference.
- Check out the blog posts tagged with
aws-sdk-js
on AWS Developer Blog. - Ask a question on StackOverflow and tag it with
aws-sdk-js
. - Join the AWS JavaScript community on gitter.
- If it turns out that you may have found a bug, please open an issue.
To test your universal JavaScript code in Node.js, browser and react-native environments, visit our code samples repo.
This client code is generated automatically. Any modifications will be overwritten the next time the @aws-sdk/client-glacier
package is updated.
To contribute to client you can check our generate clients scripts.
This SDK is distributed under the Apache License, Version 2.0, see LICENSE for more information.