Crate aws_sdk_appflow

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Welcome to the Amazon AppFlow API reference. This guide is for developers who need detailed information about the Amazon AppFlow API operations, data types, and errors.

Amazon AppFlow is a fully managed integration service that enables you to securely transfer data between software as a service (SaaS) applications like Salesforce, Marketo, Slack, and ServiceNow, and Amazon Web Services like Amazon S3 and Amazon Redshift.

Use the following links to get started on the Amazon AppFlow API:

  • Actions: An alphabetical list of all Amazon AppFlow API operations.
  • Data types: An alphabetical list of all Amazon AppFlow data types.
  • Common parameters: Parameters that all Query operations can use.
  • Common errors: Client and server errors that all operations can return.

If you’re new to Amazon AppFlow, we recommend that you review the Amazon AppFlow User Guide.

Amazon AppFlow API users can use vendor-specific mechanisms for OAuth, and include applicable OAuth attributes (such as auth-code and redirecturi) with the connector-specific ConnectorProfileProperties when creating a new connector profile using Amazon AppFlow API operations. For example, Salesforce users can refer to the Authorize Apps with OAuth documentation.

§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-appflow to your project, add the following to your Cargo.toml file:

[dependencies]
aws-config = { version = "1.1.7", features = ["behavior-version-latest"] }
aws-sdk-appflow = "1.22.0"
tokio = { version = "1", features = ["full"] }

Then in code, a client can be created with the following:

use aws_sdk_appflow as appflow;

#[::tokio::main]
async fn main() -> Result<(), appflow::Error> {
    let config = aws_config::load_from_env().await;
    let client = aws_sdk_appflow::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

§Crate Organization

The entry point for most customers will be Client, which exposes one method for each API offered by Amazon Appflow. 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 Amazon Appflow.
  • Configuration for Amazon Appflow.
  • Common errors and error handling utilities.
  • Information about this crate.
  • All operations that this crate can perform.
  • Primitives such as Blob or DateTime used by other types.
  • Data structures used by operation inputs/outputs.

Structs§

  • Client for Amazon Appflow
  • Configuration for a aws_sdk_appflow service client.

Enums§

  • All possible error types for this service.