[−][src]Enum rusoto_kinesisvideo::UpdateDataRetentionError

pub enum UpdateDataRetentionError {
    ClientLimitExceeded(String),
    InvalidArgument(String),
    NotAuthorized(String),
    ResourceInUse(String),
    ResourceNotFound(String),
    VersionMismatch(String),
}

Errors returned by UpdateDataRetention

Variants

ClientLimitExceeded(String)

Kinesis Video Streams has throttled the request because you have exceeded the limit of allowed client calls. Try making the call later.

InvalidArgument(String)

The value for this input parameter is invalid.

NotAuthorized(String)

The caller is not authorized to perform this operation.

ResourceInUse(String)

The stream is currently not available for this operation.

ResourceNotFound(String)

Amazon Kinesis Video Streams can't find the stream that you specified.

VersionMismatch(String)

The stream version that you specified is not the latest version. To get the latest version, use the DescribeStream API.

Methods

impl UpdateDataRetentionError[src]

pub fn from_response(
    res: BufferedHttpResponse
) -> RusotoError<UpdateDataRetentionError>[src]

Trait Implementations

impl PartialEq<UpdateDataRetentionError> for UpdateDataRetentionError[src]

impl Display for UpdateDataRetentionError[src]

impl Debug for UpdateDataRetentionError[src]

impl Error for UpdateDataRetentionError[src]

Auto Trait Implementations

Blanket Implementations

impl<T, U> Into<U> for T where
    U: From<T>, [src]

impl<T> From<T> for T[src]

impl<T> ToString for T where
    T: Display + ?Sized, [src]

impl<T, U> TryFrom<U> for T where
    U: Into<T>, [src]

type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, [src]

type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

impl<T> Borrow<T> for T where
    T: ?Sized, [src]

impl<T> BorrowMut<T> for T where
    T: ?Sized, [src]

impl<T> Any for T where
    T: 'static + ?Sized, [src]

impl<T> Same<T> for T

type Output = T

Should always be Self