Struct RUMCompute 

#[non_exhaustive]
pub struct RUMCompute {
    pub aggregation: RUMAggregationFunction,
    pub interval: Option<String>,
    pub metric: Option<String>,
    pub type_: Option<RUMComputeType>,
    pub additional_properties: BTreeMap<String, Value>,
    /* private fields */
}

A compute rule to compute metrics or timeseries.

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: RUMAggregationFunction

An aggregation function.

interval: Option<String>

The time buckets’ size (only used for type=timeseries) Defaults to a resolution of 150 points.

metric: Option<String>

The metric to use.

type_: Option<RUMComputeType>

The type of compute.

additional_properties: BTreeMap<String, Value>

Implementations

impl RUMCompute

pub fn new(aggregation: RUMAggregationFunction) -> RUMCompute

Examples found in repository

examples/v2_rum_AggregateRUMEvents.rs (line 17)

async fn main() {
    let body = RUMAggregateRequest::new()
        .compute(vec![RUMCompute::new(RUMAggregationFunction::PERCENTILE_90)
            .metric("@view.time_spent".to_string())
            .type_(RUMComputeType::TOTAL)])
        .filter(
            RUMQueryFilter::new()
                .from("now-15m".to_string())
                .query("@type:view AND @session.type:user".to_string())
                .to("now".to_string()),
        )
        .group_by(vec![RUMGroupBy::new("@view.time_spent".to_string())
            .limit(10)
            .total(RUMGroupByTotal::RUMGroupByTotalBoolean(false))])
        .options(RUMQueryOptions::new().timezone("GMT".to_string()))
        .page(RUMQueryPageOptions::new().limit(25));
    let configuration = datadog::Configuration::new();
    let api = RUMAPI::with_config(configuration);
    let resp = api.aggregate_rum_events(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

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

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

Examples found in repository

examples/v2_rum_AggregateRUMEvents.rs (line 18)

async fn main() {
    let body = RUMAggregateRequest::new()
        .compute(vec![RUMCompute::new(RUMAggregationFunction::PERCENTILE_90)
            .metric("@view.time_spent".to_string())
            .type_(RUMComputeType::TOTAL)])
        .filter(
            RUMQueryFilter::new()
                .from("now-15m".to_string())
                .query("@type:view AND @session.type:user".to_string())
                .to("now".to_string()),
        )
        .group_by(vec![RUMGroupBy::new("@view.time_spent".to_string())
            .limit(10)
            .total(RUMGroupByTotal::RUMGroupByTotalBoolean(false))])
        .options(RUMQueryOptions::new().timezone("GMT".to_string()))
        .page(RUMQueryPageOptions::new().limit(25));
    let configuration = datadog::Configuration::new();
    let api = RUMAPI::with_config(configuration);
    let resp = api.aggregate_rum_events(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub fn type_(self, value: RUMComputeType) -> Self

Examples found in repository

examples/v2_rum_AggregateRUMEvents.rs (line 19)

async fn main() {
    let body = RUMAggregateRequest::new()
        .compute(vec![RUMCompute::new(RUMAggregationFunction::PERCENTILE_90)
            .metric("@view.time_spent".to_string())
            .type_(RUMComputeType::TOTAL)])
        .filter(
            RUMQueryFilter::new()
                .from("now-15m".to_string())
                .query("@type:view AND @session.type:user".to_string())
                .to("now".to_string()),
        )
        .group_by(vec![RUMGroupBy::new("@view.time_spent".to_string())
            .limit(10)
            .total(RUMGroupByTotal::RUMGroupByTotalBoolean(false))])
        .options(RUMQueryOptions::new().timezone("GMT".to_string()))
        .page(RUMQueryPageOptions::new().limit(25));
    let configuration = datadog::Configuration::new();
    let api = RUMAPI::with_config(configuration);
    let resp = api.aggregate_rum_events(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 RUMCompute

fn clone(&self) -> RUMCompute

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for RUMCompute

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for RUMCompute

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

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for RUMCompute

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

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 RUMCompute