aws_sdk_glacier/

lib.rs

#![allow(deprecated)]
#![allow(unknown_lints)]
#![allow(clippy::module_inception)]
#![allow(clippy::upper_case_acronyms)]
#![allow(clippy::large_enum_variant)]
#![allow(clippy::wrong_self_convention)]
#![allow(clippy::should_implement_trait)]
#![allow(clippy::disallowed_names)]
#![allow(clippy::vec_init_then_push)]
#![allow(clippy::type_complexity)]
#![allow(clippy::needless_return)]
#![allow(clippy::derive_partial_eq_without_eq)]
#![allow(clippy::result_large_err)]
#![allow(clippy::unnecessary_map_on_constructor)]
#![allow(rustdoc::bare_urls)]
#![allow(rustdoc::redundant_explicit_links)]
#![allow(rustdoc::invalid_html_tags)]
#![forbid(unsafe_code)]
#![warn(missing_docs)]
#![cfg_attr(docsrs, feature(doc_auto_cfg))]
//! 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)](http://aws.amazon.com/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](https://docs.aws.amazon.com/amazonglacier/latest/dev/introduction.html) - 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](https://docs.aws.amazon.com/amazonglacier/latest/dev/amazon-glacier-getting-started.html) - 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.
//!
//! ## Getting Started
//!
//! > Examples are available for many services and operations, check out the
//! > [examples folder in GitHub](https://github.com/awslabs/aws-sdk-rust/tree/main/examples).
//!
//! The SDK provides one crate per AWS service. You must add [Tokio](https://crates.io/crates/tokio)
//! as a dependency within your Rust project to execute asynchronous code. To add `aws-sdk-glacier` to
//! your project, add the following to your **Cargo.toml** file:
//!
//! ```toml
//! [dependencies]
//! aws-config = { version = "1.1.7", features = ["behavior-version-latest"] }
//! aws-sdk-glacier = "1.84.0"
//! tokio = { version = "1", features = ["full"] }
//! ```
//!
//! Then in code, a client can be created with the following:
//!
//! ```rust,no_run
//! use aws_sdk_glacier as glacier;
//!
//! #[::tokio::main]
//! async fn main() -> Result<(), glacier::Error> {
//!     let config = aws_config::load_from_env().await;
//!     let client = aws_sdk_glacier::Client::new(&config);
//!
//!     // ... make some calls with the client
//!
//!     Ok(())
//! }
//! ```
//!
//! See the [client documentation](https://docs.rs/aws-sdk-glacier/latest/aws_sdk_glacier/client/struct.Client.html)
//! for information on what calls can be made, and the inputs and outputs for each of those calls.
//!
//! ## Using the SDK
//!
//! Until the SDK is released, we will be adding information about using the SDK to the
//! [Developer Guide](https://docs.aws.amazon.com/sdk-for-rust/latest/dg/welcome.html). Feel free to suggest
//! additional sections for the guide by opening an issue and describing what you are trying to do.
//!
//! ## Getting Help
//!
//! * [GitHub discussions](https://github.com/awslabs/aws-sdk-rust/discussions) - For ideas, RFCs & general questions
//! * [GitHub issues](https://github.com/awslabs/aws-sdk-rust/issues/new/choose) - For bug reports & feature requests
//! * [Generated Docs (latest version)](https://awslabs.github.io/aws-sdk-rust/)
//! * [Usage examples](https://github.com/awslabs/aws-sdk-rust/tree/main/examples)
//!
//!
//! # Crate Organization
//!
//! The entry point for most customers will be [`Client`], which exposes one method for each API
//! offered by Amazon Glacier. The return value of each of these methods is a "fluent builder",
//! where the different inputs for that API are added by builder-style function call chaining,
//! followed by calling `send()` to get a [`Future`](std::future::Future) that will result in
//! either a successful output or a [`SdkError`](crate::error::SdkError).
//!
//! Some of these API inputs may be structs or enums to provide more complex structured information.
//! These structs and enums live in [`types`](crate::types). There are some simpler types for
//! representing data such as date times or binary blobs that live in [`primitives`](crate::primitives).
//!
//! All types required to configure a client via the [`Config`](crate::Config) struct live
//! in [`config`](crate::config).
//!
//! The [`operation`](crate::operation) module has a submodule for every API, and in each submodule
//! is the input, output, and error type for that API, as well as builders to construct each of those.
//!
//! There is a top-level [`Error`](crate::Error) type that encompasses all the errors that the
//! client can return. Any other error type can be converted to this `Error` type via the
//! [`From`](std::convert::From) trait.
//!
//! The other modules within this crate are not required for normal usage.

// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use error_meta::Error;

#[doc(inline)]
pub use config::Config;

/// Client for calling Amazon Glacier.
/// ## Constructing a `Client`
///
/// A [`Config`] is required to construct a client. For most use cases, the [`aws-config`]
/// crate should be used to automatically resolve this config using
/// [`aws_config::load_from_env()`], since this will resolve an [`SdkConfig`] which can be shared
/// across multiple different AWS SDK clients. This config resolution process can be customized
/// by calling [`aws_config::from_env()`] instead, which returns a [`ConfigLoader`] that uses
/// the [builder pattern] to customize the default config.
///
/// In the simplest case, creating a client looks as follows:
/// ```rust,no_run
/// # async fn wrapper() {
/// let config = aws_config::load_from_env().await;
/// let client = aws_sdk_glacier::Client::new(&config);
/// # }
/// ```
///
/// Occasionally, SDKs may have additional service-specific values that can be set on the [`Config`] that
/// is absent from [`SdkConfig`], or slightly different settings for a specific client may be desired.
/// The [`Builder`](crate::config::Builder) struct implements `From<&SdkConfig>`, so setting these specific settings can be
/// done as follows:
///
/// ```rust,no_run
/// # async fn wrapper() {
/// let sdk_config = ::aws_config::load_from_env().await;
/// let config = aws_sdk_glacier::config::Builder::from(&sdk_config)
/// # /*
///     .some_service_specific_setting("value")
/// # */
///     .build();
/// # }
/// ```
///
/// See the [`aws-config` docs] and [`Config`] for more information on customizing configuration.
///
/// _Note:_ Client construction is expensive due to connection thread pool initialization, and should
/// be done once at application start-up.
///
/// [`Config`]: crate::Config
/// [`ConfigLoader`]: https://docs.rs/aws-config/*/aws_config/struct.ConfigLoader.html
/// [`SdkConfig`]: https://docs.rs/aws-config/*/aws_config/struct.SdkConfig.html
/// [`aws-config` docs]: https://docs.rs/aws-config/*
/// [`aws-config`]: https://crates.io/crates/aws-config
/// [`aws_config::from_env()`]: https://docs.rs/aws-config/*/aws_config/fn.from_env.html
/// [`aws_config::load_from_env()`]: https://docs.rs/aws-config/*/aws_config/fn.load_from_env.html
/// [builder pattern]: https://rust-lang.github.io/api-guidelines/type-safety.html#builders-enable-construction-of-complex-values-c-builder
/// # Using the `Client`
///
/// A client has a function for every operation that can be performed by the service.
/// For example, the [`AbortMultipartUpload`](crate::operation::abort_multipart_upload) operation has
/// a [`Client::abort_multipart_upload`], function which returns a builder for that operation.
/// The fluent builder ultimately has a `send()` function that returns an async future that
/// returns a result, as illustrated below:
///
/// ```rust,ignore
/// let result = client.abort_multipart_upload()
///     .account_id("example")
///     .send()
///     .await;
/// ```
///
/// The underlying HTTP requests that get made by this can be modified with the `customize_operation`
/// function on the fluent builder. See the [`customize`](crate::client::customize) module for more
/// information.
/// # Waiters
///
/// This client provides `wait_until` methods behind the [`Waiters`](crate::client::Waiters) trait.
/// To use them, simply import the trait, and then call one of the `wait_until` methods. This will
/// return a waiter fluent builder that takes various parameters, which are documented on the builder
/// type. Once parameters have been provided, the `wait` method can be called to initiate waiting.
///
/// For example, if there was a `wait_until_thing` method, it could look like:
/// ```rust,ignore
/// let result = client.wait_until_thing()
///     .thing_id("someId")
///     .wait(Duration::from_secs(120))
///     .await;
/// ```
pub mod client;

/// Configuration for Amazon Glacier.
pub mod config;

/// Common errors and error handling utilities.
pub mod error;

mod error_meta;

/// Information about this crate.
pub mod meta;

/// All operations that this crate can perform.
pub mod operation;

/// Primitives such as `Blob` or `DateTime` used by other types.
pub mod primitives;

/// Data structures used by operation inputs/outputs.
pub mod types;

mod glacier_interceptors;

pub(crate) mod protocol_serde;

mod sdk_feature_tracker;

mod serialization_settings;

mod endpoint_lib;

mod lens;

/// Supporting types for waiters.
///
/// Note: to use waiters, import the [`Waiters`](crate::client::Waiters) trait, which adds methods prefixed with `wait_until` to the client.
pub mod waiters;

mod json_errors;

mod serde_util;

#[doc(inline)]
pub use client::Client;