These examples demonstrate how to perform several operations using the AWS SDK for Rust.
- We recommend that you grant this code least privilege, or at most the minimum permissions required to perform the task. For more information, see Grant Least Privilege in the AWS Identity and Access Management User Guide.
- This code has not been tested in all AWS Regions. Some AWS services are available only in specific Regions.
- Running this code might result in charges to your AWS account.
Examples show how to use the AWS SDK for Rust using single actions and services. These are actions with individual binaries, as well as scenario
binaries which run several actions using a single AWS SDK service.
Applications show how to use multiple AWS services in a single holistic application. These are built to meet the needs of a user persona. Each application is a standalone program or set of programs.
The Lambda example shows how to use the AWS SDK for Rust within the Lambda Rust Runtime.
The WebAssembly example shows how to use the AWS SDK for Rust within a WASM runtime.
Each example has one or more examples that can be executed with cargo run --bin [program name]
.
See the individual readme files in each service directory for information about specific code examples for that service.
Unit tests for each example can be run with cargo test
, and these will not cause any changes or charges to your AWS account.
Integration tests may cause changes or charges to your AWS account, and are described individually for each example.
However, they can be run with cargo test -- --ignored
.
You must have an AWS account, and have configured your default credentials and AWS Region as described in Getting started with the AWS SDK for Rust.
You must have the Cargo build tool, which is typically installed via rustup.
These examples use tracing_subscriber
with env_filter
to print information about various information as the example runs. Because the AWS SDK for Rust and many crates used in these examples use tracing
for structured logging, it is important to have an understanding of the RUST_LOG
variable.
RUST_LOG
controls the tracing environment logger level, allowing fine-tuned control of what log messages to display.info
will show all common output for the program.{crate_name}=debug
will show some useful per-action details.aws_smithy_http_tower::dispatch=trace
will print the full HTTP request of every call to an AWS SDK.aws_smithy_http::middleware=trace
will print the full HTTP response of every call to an AWS SDK.
The AWS SDK for Rust uses environment variables to configure some of its behavior. These variables are documented in the AWS SDK for Rust Developer Guide. Some common and useful variables are described here for easy reference.
The following environment variables are a subset of the variables used by the AWS Command Line Interface (AWS CLI) that are supported by the AWS SDK for Rust. See Configuring the AWS CLI - Environment Variables for more details on these variables.
AWS_REGION
(AWS_DEFAULT_REGION
) specifies the AWS Region to send requests to.AWS_PROFILE
specifies the name of the AWS CLI profile with the credentials and options to use. This can be the name of a profile stored in a credentials or config file, or the value default to use the default profile.AWS_ACCESS_KEY_ID
specifies an AWS access key associated with an IAM user or role.AWS_SECRET_ACCESS_KEY
specifies the secret key associated with the access key. This is essentially the "password" for the access key.
The following environment variables are specific to using the AWS SDK for Rust running in Amazon Elastic Container Service (Amazon ECS). For more information, see AWS SDKs and Tools - Container Credentials.
AWS_CONTAINER_CREDENTIALS_FULL_URI
specifies the full HTTP URL endpoint for the SDK to use when making a request for credentials.AWS_CONTAINER_CREDENTIALS_RELATIVE_URI
specifies the relative HTTP URL endpoint for the SDK to use when making a request for credentials.AWS_CONTAINER_AUTHORIZATION_TOKEN
specifies the Authorization header on HTTP requests.
The following environment variables specify how Instance Metadata Service (IMDS) provides data about your instance when using the AWS SDK for Rust running in Amazon EC2. See AWS SDKs and Tools - IMDS Credentials for more information.
AWS_EC2_METADATA_DISABLED
specifies whether or not to attempt to use IMDS to obtain credentials.AWS_EC2_METADATA_SERVICE_ENDPOINT
specifies the endpoint for IMDS.AWS_EC2_METADATA_SERVICE_ENDPOINT_MODE
specifies whether to access IMDS using IPv4 or IPv6.
The following environment variables are specific to the AWS SDK for Rust.
AWS_SDK_UA_APP_ID
specifies an additional app name that will be present in the User-Agent header for every SDK request.
This example code will soon be available in a container image hosted on Amazon Elastic Container Registry (ECR). This image will be pre-loaded with all Rust examples with dependencies pre-resolved, allowing you to explore these examples in an isolated environment.
If a rust version releases (most likely) a clippy or has some other breaking change, the Weathertop dashboard will go red. The easiest way to handle this is to run ./tools/set_rust_version.py [rust_version]
(using a venv with the appropriate requirements), creating a commit with those updates, and then running cargo clippy --fix
in the appropriate folder before making a second commit with those fixes. Line numbers will certainly change, so don't forget to run WRITEME - ./.tools/readmes/.venv/bin/python ./.tools/readmes/writeme.py --languages Rust:1
.
When adding or modifying Rust code examples, follow common Rust best practices.
As much as is reasonable, this means having tests that run with cargo test
, code that has no lint errors from cargo clippy --all-targets
, and code that has been formatted using cargo fmt
.
These can be verified using cargo with in the example folders, or across the entire Rust code base with the ./run_all.sh
script.
The run_all.sh
script is also used in continuous integration toolchains.
To propose a new code example to the AWS documentation team, see CONTRIBUTING.md. The team prefers to create code examples that show broad scenarios rather than individual API calls.
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