Struct rusoto_forecast::DescribeDatasetResponse

pub struct DescribeDatasetResponse {
    pub creation_time: Option<f64>,
    pub data_frequency: Option<String>,
    pub dataset_arn: Option<String>,
    pub dataset_name: Option<String>,
    pub dataset_type: Option<String>,
    pub domain: Option<String>,
    pub encryption_config: Option<EncryptionConfig>,
    pub last_modification_time: Option<f64>,
    pub schema: Option<Schema>,
    pub status: Option<String>,
}

Fields

creation_time: Option<f64>

When the dataset was created.

data_frequency: Option<String>

The frequency of data collection.

Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and 1min (1 minute). For example, "M" indicates every month and "30min" indicates every 30 minutes.

dataset_arn: Option<String>

The Amazon Resource Name (ARN) of the dataset.

dataset_name: Option<String>

The name of the dataset.

dataset_type: Option<String>

The dataset type.

domain: Option<String>

The domain associated with the dataset.

encryption_config: Option<EncryptionConfig>

The AWS Key Management Service (KMS) key and the AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.

last_modification_time: Option<f64>

When you create a dataset, LastModificationTime is the same as CreationTime. While data is being imported to the dataset, LastModificationTime is the current time of the DescribeDataset call. After a CreateDatasetImportJob operation has finished, LastModificationTime is when the import job completed or failed.

schema: Option<Schema>

An array of SchemaAttribute objects that specify the dataset fields. Each SchemaAttribute specifies the name and data type of a field.

status: Option<String>

The status of the dataset. States include:

• ACTIVE

• CREATEPENDING, CREATEINPROGRESS, CREATEFAILED

• DELETEPENDING, DELETEINPROGRESS, DELETEFAILED

• UPDATEPENDING, UPDATEINPROGRESS, UPDATEFAILED

The UPDATE states apply while data is imported to the dataset from a call to the CreateDatasetImportJob operation and reflect the status of the dataset import job. For example, when the import job status is CREATEINPROGRESS, the status of the dataset is UPDATEINPROGRESS.

The Status of the dataset must be ACTIVE before you can import training data.

Trait Implementations

impl Clone for DescribeDatasetResponse

pub fn clone(&self) -> DescribeDatasetResponse

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DescribeDatasetResponse

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

Formats the value using the given formatter.

impl Default for DescribeDatasetResponse

pub fn default() -> DescribeDatasetResponse

Returns the "default value" for a type.

impl<'de> Deserialize<'de> for DescribeDatasetResponse

pub fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl PartialEq<DescribeDatasetResponse> for DescribeDatasetResponse

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

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

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

This method tests for !=.

impl StructuralPartialEq for DescribeDatasetResponse