aws_sdk_timestreamwrite/

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(clippy::deprecated_semver)]
#![allow(rustdoc::bare_urls)]
#![allow(rustdoc::redundant_explicit_links)]
#![allow(rustdoc::broken_intra_doc_links)]
#![allow(rustdoc::invalid_html_tags)]
#![forbid(unsafe_code)]
#![warn(missing_docs)]
#![cfg_attr(docsrs, feature(doc_cfg))]
//! Amazon Timestream is a fast, scalable, fully managed time-series database service that makes it easy to store and analyze trillions of time-series data points per day. With Timestream, you can easily store and analyze IoT sensor data to derive insights from your IoT applications. You can analyze industrial telemetry to streamline equipment management and maintenance. You can also store and analyze log data and metrics to improve the performance and availability of your applications.
//!
//! Timestream is built from the ground up to effectively ingest, process, and store time-series data. It organizes data to optimize query processing. It automatically scales based on the volume of data ingested and on the query volume to ensure you receive optimal performance while inserting and querying data. As your data grows over time, Timestream’s adaptive query processing engine spans across storage tiers to provide fast analysis while reducing costs.
//!
//! ## Getting Started
//!
//! > Examples are available for many services and operations, check out the
//! > [usage examples](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1).
//!
//! 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-timestreamwrite` 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-timestreamwrite = "1.95.0"
//! tokio = { version = "1", features = ["full"] }
//! ```
//!
//! Then in code, a client can be created with the following:
//!
//! ```rust,no_run
//! use aws_sdk_timestreamwrite as timestreamwrite;
//!
//! #[::tokio::main]
//! async fn main() -> Result<(), timestreamwrite::Error> {
//!     let config = aws_config::load_from_env().await;
//!     // You MUST call `with_endpoint_discovery_enabled` to produce a working client for this service.
//!     let client = aws_sdk_timestreamwrite::Client::new(&config).with_endpoint_discovery_enabled().await;
//!
//!     // ... make some calls with the client
//!
//!     Ok(())
//! }
//! ```
//!
//! See the [client documentation](https://docs.rs/aws-sdk-timestreamwrite/latest/aws_sdk_timestreamwrite/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/awsdocs/aws-doc-sdk-examples/tree/main/rustv1)
//!
//!
//! # Crate Organization
//!
//! The entry point for most customers will be [`Client`], which exposes one method for each API
//! offered by Amazon Timestream Write. 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 Timestream Write.
/// ## 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;
/// // You MUST call `with_endpoint_discovery_enabled` to produce a working client for this service.
/// let client = aws_sdk_timestreamwrite::Client::new(&config).with_endpoint_discovery_enabled().await;
/// # }
/// ```
///
/// 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_timestreamwrite::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 [`CreateBatchLoadTask`](crate::operation::create_batch_load_task) operation has
/// a [`Client::create_batch_load_task`], 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.create_batch_load_task()
///     .client_token("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.
pub mod client;

/// Configuration for Amazon Timestream Write.
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;

pub(crate) mod client_idempotency_token;

pub mod endpoint_discovery;

mod idempotency_token;

mod observability_feature;

pub(crate) mod protocol_serde;

mod sdk_feature_tracker;

mod serialization_settings;

mod endpoint_lib;

mod lens;

mod serde_util;

mod json_errors;

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