Struct Dataset

#[non_exhaustive]
pub struct Dataset {
    pub attributes: DatasetAttributes,
    pub id: Option<String>,
    pub type_: String,
    pub additional_properties: BTreeMap<String, Value>,
    /* private fields */
}

Dataset object.

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.

attributes: DatasetAttributes

Dataset metadata and configuration(s).

id: Option<String>

Unique identifier for the dataset.

type_: String

Resource type, always “dataset”.

additional_properties: BTreeMap<String, Value>

Implementations

impl Dataset

pub fn new(attributes: DatasetAttributes, type_: String) -> Dataset

Examples found in repository

examples/v2_datasets_CreateDataset.rs (lines 12-23)

async fn main() {
    let body = DatasetCreateRequest::new(
        Dataset::new(
            DatasetAttributes::new(
                "Security Audit Dataset".to_string(),
                vec!["role:86245fce-0a4e-11f0-92bd-da7ad0900002".to_string()],
                vec![FiltersPerProduct::new(
                    vec!["@application.id:ABCD".to_string()],
                    "logs".to_string(),
                )],
            )
            .created_at(None),
            "dataset".to_string(),
        )
        .id("123e4567-e89b-12d3-a456-426614174000".to_string()),
    );
    let configuration = datadog::Configuration::new();
    let api = DatasetsAPI::with_config(configuration);
    let resp = api.create_dataset(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub fn id(self, value: String) -> Self

Examples found in repository

examples/v2_datasets_CreateDataset.rs (line 24)

async fn main() {
    let body = DatasetCreateRequest::new(
        Dataset::new(
            DatasetAttributes::new(
                "Security Audit Dataset".to_string(),
                vec!["role:86245fce-0a4e-11f0-92bd-da7ad0900002".to_string()],
                vec![FiltersPerProduct::new(
                    vec!["@application.id:ABCD".to_string()],
                    "logs".to_string(),
                )],
            )
            .created_at(None),
            "dataset".to_string(),
        )
        .id("123e4567-e89b-12d3-a456-426614174000".to_string()),
    );
    let configuration = datadog::Configuration::new();
    let api = DatasetsAPI::with_config(configuration);
    let resp = api.create_dataset(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub fn additional_properties(self, value: BTreeMap<String, Value>) -> Self

Trait Implementations

impl Clone for Dataset

fn clone(&self) -> Dataset

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Dataset

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Dataset

fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for Dataset

fn eq(&self, other: &Dataset) -> 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 Serialize for Dataset

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for Dataset