Expand description
AWS Data Exchange is a service that makes it easy for AWS customers to exchange data in the cloud. You can use the AWS Data Exchange APIs to create, update, manage, and access file-based data set in the AWS Cloud.
As a subscriber, you can view and access the data sets that you have an entitlement to through a subscription. You can use the APIs to download or copy your entitled data sets to Amazon Simple Storage Service (Amazon S3) for use across a variety of AWS analytics and machine learning services.
As a provider, you can create and manage your data sets that you would like to publish to a product. Being able to package and provide your data sets into products requires a few steps to determine eligibility. For more information, visit the AWS Data Exchange User Guide.
A data set is a collection of data that can be changed or updated over time. Data sets can be updated using revisions, which represent a new version or incremental change to a data set. A revision contains one or more assets. An asset in AWS Data Exchange is a piece of data that can be stored as an Amazon S3 object, Redshift datashare, API Gateway API, AWS Lake Formation data permission, or Amazon S3 data access. The asset can be a structured data file, an image file, or some other data file. Jobs are asynchronous import or export operations used to create or copy assets.
§Getting Started
Examples are available for many services and operations, check out the examples folder in GitHub.
The SDK provides one crate per AWS service. You must add Tokio
as a dependency within your Rust project to execute asynchronous code. To add aws-sdk-dataexchange
to
your project, add the following to your Cargo.toml file:
[dependencies]
aws-config = { version = "1.1.7", features = ["behavior-version-latest"] }
aws-sdk-dataexchange = "1.54.0"
tokio = { version = "1", features = ["full"] }
Then in code, a client can be created with the following:
use aws_sdk_dataexchange as dataexchange;
#[::tokio::main]
async fn main() -> Result<(), dataexchange::Error> {
let config = aws_config::load_from_env().await;
let client = aws_sdk_dataexchange::Client::new(&config);
// ... make some calls with the client
Ok(())
}
See the client documentation 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. 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 - For ideas, RFCs & general questions
- GitHub issues - For bug reports & feature requests
- Generated Docs (latest version)
- Usage examples
§Crate Organization
The entry point for most customers will be Client
, which exposes one method for each API
offered by AWS Data Exchange. 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
that will result in
either a successful output or a SdkError
.
Some of these API inputs may be structs or enums to provide more complex structured information.
These structs and enums live in types
. There are some simpler types for
representing data such as date times or binary blobs that live in primitives
.
All types required to configure a client via the Config
struct live
in config
.
The 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
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
trait.
The other modules within this crate are not required for normal usage.
Modules§
- Client for calling AWS Data Exchange.
- Configuration for AWS Data Exchange.
- Common errors and error handling utilities.
- Information about this crate.
- All operations that this crate can perform.
- Primitives such as
Blob
orDateTime
used by other types. - Data structures used by operation inputs/outputs.
Structs§
- Client for AWS Data Exchange
- Configuration for a aws_sdk_dataexchange service client.
Enums§
- All possible error types for this service.