Expand description
Amazon DocumentDB elastic-clusters support workloads with millions of reads/writes per second and petabytes of storage capacity. Amazon DocumentDB elastic clusters also simplify how developers interact with Amazon DocumentDB elastic-clusters by eliminating the need to choose, manage or upgrade instances.
Amazon DocumentDB elastic-clusters were created to:
- provide a solution for customers looking for a database that provides virtually limitless scale with rich query capabilities and MongoDB API compatibility.
- give customers higher connection limits, and to reduce downtime from patching.
- continue investing in a cloud-native, elastic, and class leading architecture for JSON workloads.
§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-docdbelastic
to
your project, add the following to your Cargo.toml file:
[dependencies]
aws-config = { version = "1.1.7", features = ["behavior-version-latest"] }
aws-sdk-docdbelastic = "1.67.0"
tokio = { version = "1", features = ["full"] }
Then in code, a client can be created with the following:
use aws_sdk_docdbelastic as docdbelastic;
#[::tokio::main]
async fn main() -> Result<(), docdbelastic::Error> {
let config = aws_config::load_from_env().await;
let client = aws_sdk_docdbelastic::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 Amazon DocumentDB Elastic Clusters. 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
- Client for calling Amazon DocumentDB Elastic Clusters.
- config
- Configuration for Amazon DocumentDB Elastic Clusters.
- error
- Common errors and error handling utilities.
- meta
- Information about this crate.
- operation
- All operations that this crate can perform.
- primitives
- Primitives such as
Blob
orDateTime
used by other types. - types
- Data structures used by operation inputs/outputs.
Structs§
- Client
- Client for Amazon DocumentDB Elastic Clusters
- Config
- Configuration for a aws_sdk_docdbelastic service client.
Enums§
- Error
- All possible error types for this service.