Struct RumMetricCompute

#[non_exhaustive]
pub struct RumMetricCompute {
    pub aggregation_type: RumMetricComputeAggregationType,
    pub include_percentiles: Option<bool>,
    pub path: Option<String>,
    pub additional_properties: BTreeMap<String, Value>,
    /* private fields */
}

The compute rule to compute the rum-based metric.

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.

aggregation_type: RumMetricComputeAggregationType

The type of aggregation to use.

include_percentiles: Option<bool>

Toggle to include or exclude percentile aggregations for distribution metrics. Only present when aggregation_type is distribution.

path: Option<String>

The path to the value the rum-based metric will aggregate on. Only present when aggregation_type is distribution.

additional_properties: BTreeMap<String, Value>

Implementations

impl RumMetricCompute

pub fn new( aggregation_type: RumMetricComputeAggregationType, ) -> RumMetricCompute

Examples found in repository

examples/v2_rum-metrics_CreateRumMetric.rs (line 20)

async fn main() {
    let body = RumMetricCreateRequest::new(RumMetricCreateData::new(
        RumMetricCreateAttributes::new(
            RumMetricCompute::new(RumMetricComputeAggregationType::DISTRIBUTION)
                .include_percentiles(true)
                .path("@duration".to_string()),
            RumMetricEventType::SESSION,
        )
        .filter(RumMetricFilter::new("@service:web-ui".to_string()))
        .group_by(vec![
            RumMetricGroupBy::new("@browser.name".to_string()).tag_name("browser_name".to_string())
        ])
        .uniqueness(RumMetricUniqueness::new(
            RumMetricUniquenessWhen::WHEN_MATCH,
        )),
        "examplerummetric".to_string(),
        RumMetricType::RUM_METRICS,
    ));
    let configuration = datadog::Configuration::new();
    let api = RumMetricsAPI::with_config(configuration);
    let resp = api.create_rum_metric(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub fn include_percentiles(self, value: bool) -> Self

Examples found in repository

examples/v2_rum-metrics_CreateRumMetric.rs (line 21)

async fn main() {
    let body = RumMetricCreateRequest::new(RumMetricCreateData::new(
        RumMetricCreateAttributes::new(
            RumMetricCompute::new(RumMetricComputeAggregationType::DISTRIBUTION)
                .include_percentiles(true)
                .path("@duration".to_string()),
            RumMetricEventType::SESSION,
        )
        .filter(RumMetricFilter::new("@service:web-ui".to_string()))
        .group_by(vec![
            RumMetricGroupBy::new("@browser.name".to_string()).tag_name("browser_name".to_string())
        ])
        .uniqueness(RumMetricUniqueness::new(
            RumMetricUniquenessWhen::WHEN_MATCH,
        )),
        "examplerummetric".to_string(),
        RumMetricType::RUM_METRICS,
    ));
    let configuration = datadog::Configuration::new();
    let api = RumMetricsAPI::with_config(configuration);
    let resp = api.create_rum_metric(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

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

Examples found in repository

examples/v2_rum-metrics_CreateRumMetric.rs (line 22)

async fn main() {
    let body = RumMetricCreateRequest::new(RumMetricCreateData::new(
        RumMetricCreateAttributes::new(
            RumMetricCompute::new(RumMetricComputeAggregationType::DISTRIBUTION)
                .include_percentiles(true)
                .path("@duration".to_string()),
            RumMetricEventType::SESSION,
        )
        .filter(RumMetricFilter::new("@service:web-ui".to_string()))
        .group_by(vec![
            RumMetricGroupBy::new("@browser.name".to_string()).tag_name("browser_name".to_string())
        ])
        .uniqueness(RumMetricUniqueness::new(
            RumMetricUniquenessWhen::WHEN_MATCH,
        )),
        "examplerummetric".to_string(),
        RumMetricType::RUM_METRICS,
    ));
    let configuration = datadog::Configuration::new();
    let api = RumMetricsAPI::with_config(configuration);
    let resp = api.create_rum_metric(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 RumMetricCompute

fn clone(&self) -> RumMetricCompute

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for RumMetricCompute

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for RumMetricCompute

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

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for RumMetricCompute

fn eq(&self, other: &RumMetricCompute) -> 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 RumMetricCompute

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 RumMetricCompute