Struct aws_sdk_kinesisanalyticsv2::model::ApplicationSummary

#[non_exhaustive]
pub struct ApplicationSummary {
    pub application_name: Option<String>,
    pub application_arn: Option<String>,
    pub application_status: Option<ApplicationStatus>,
    pub application_version_id: Option<i64>,
    pub runtime_environment: Option<RuntimeEnvironment>,
    pub application_mode: Option<ApplicationMode>,
}

Provides application summary information, including the application Amazon Resource Name (ARN), name, and status.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

application_name: Option<String>

The name of the application.

application_arn: Option<String>

The ARN of the application.

application_status: Option<ApplicationStatus>

The status of the application.

application_version_id: Option<i64>

Provides the current application version.

runtime_environment: Option<RuntimeEnvironment>

The runtime environment for the application.

application_mode: Option<ApplicationMode>

For a Kinesis Data Analytics for Apache Flink application, the mode is STREAMING. For a Kinesis Data Analytics Studio notebook, it is INTERACTIVE.

Implementations

impl ApplicationSummary

pub fn application_name(&self) -> Option<&str>

The name of the application.

pub fn application_arn(&self) -> Option<&str>

The ARN of the application.

pub fn application_status(&self) -> Option<&ApplicationStatus>

The status of the application.

pub fn application_version_id(&self) -> Option<i64>

Provides the current application version.

pub fn runtime_environment(&self) -> Option<&RuntimeEnvironment>

The runtime environment for the application.

pub fn application_mode(&self) -> Option<&ApplicationMode>

For a Kinesis Data Analytics for Apache Flink application, the mode is STREAMING. For a Kinesis Data Analytics Studio notebook, it is INTERACTIVE.

impl ApplicationSummary

pub fn builder() -> Builder

Creates a new builder-style object to manufacture ApplicationSummary

Trait Implementations

impl Clone for ApplicationSummary

fn clone(&self) -> ApplicationSummary

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ApplicationSummary

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq<ApplicationSummary> for ApplicationSummary

fn eq(&self, other: &ApplicationSummary) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &ApplicationSummary) -> bool

This method tests for !=.

impl StructuralPartialEq for ApplicationSummary