Struct EnrichedDataset 

pub struct EnrichedDataset { /* private fields */ }

Implementations

impl EnrichedDataset

pub fn builder() -> Builder<RidStage>

Returns a new builder.

impl EnrichedDataset

pub fn rid(&self) -> &ResourceIdentifier

pub fn uuid(&self) -> Uuid

pub fn name(&self) -> &str

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

pub fn display_name(&self) -> &str

pub fn metadata(&self) -> Option<&BTreeMap<String, String>>

👎Deprecated:

Deprecated in favor of properties.

pub fn handle(&self) -> Option<&Handle>

👎Deprecated:

Deprecated. Use DatasetFile#handle

pub fn ingest_date(&self) -> DateTime<Utc>

pub fn ingest_status(&self) -> Option<&IngestStatus>

👎Deprecated:

Deprecated. Use lastIngestStatus.

pub fn origin_metadata(&self) -> &DatasetOriginMetadata

pub fn last_ingest_status(&self) -> &IngestStatusV2

pub fn retention_policy(&self) -> &RetentionPolicy

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

pub fn bounds(&self) -> Option<&Bounds>

pub fn timestamp_type(&self) -> &WeakTimestampType

pub fn labels(&self) -> &BTreeSet<String>

pub fn properties(&self) -> &BTreeMap<String, String>

pub fn granularity(&self) -> &Granularity

pub fn allow_streaming(&self) -> bool

pub fn is_archived(&self) -> bool

pub fn dataset_type(&self) -> Option<&DatasetBackingType>

pub fn external_connection_metadata( &self, ) -> Option<&ExternalConnectionMetadata>

pub fn derived_definition(&self) -> Option<&DerivedDefinition>

Definition for a derived dataset. When present, this dataset is virtual and backed by the referenced provided Dataset definition instead of persisted dataset files.

Trait Implementations

impl Clone for EnrichedDataset

fn clone(&self) -> EnrichedDataset

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for EnrichedDataset

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for EnrichedDataset

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl From<EnrichedDataset> for Builder<Complete>

fn from(v: EnrichedDataset) -> Self

Converts to this type from the input type.

impl Hash for EnrichedDataset

fn hash<H: Hasher>(&self, hasher: &mut H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl Ord for EnrichedDataset

fn cmp(&self, other: &Self) -> Ordering

This method returns an Ordering between self and other.

fn max(self, other: Self) -> Self

where Self: Sized,

Compares and returns the maximum of two values.

fn min(self, other: Self) -> Self

where Self: Sized,

Compares and returns the minimum of two values.

fn clamp(self, min: Self, max: Self) -> Self

where Self: Sized,

Restrict a value to a certain interval.

impl PartialEq for EnrichedDataset

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl PartialOrd for EnrichedDataset

fn partial_cmp(&self, other: &Self) -> Option<Ordering>

This method returns an ordering between self and other values if one exists.

fn lt(&self, other: &Rhs) -> bool

Tests less than (for self and other) and is used by the < operator.

fn le(&self, other: &Rhs) -> bool

Tests less than or equal to (for self and other) and is used by the <= operator.

fn gt(&self, other: &Rhs) -> bool

Tests greater than (for self and other) and is used by the > operator.

fn ge(&self, other: &Rhs) -> bool

Tests greater than or equal to (for self and other) and is used by the >= operator.

impl Serialize for EnrichedDataset

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Eq for EnrichedDataset