datadog_api_client::datadogV2::model::model_formula_limit

Struct FormulaLimit

Source 
#[non_exhaustive]
pub struct FormulaLimit {
    pub count: Option<i32>,
    pub order: Option<QuerySortOrder>,
    pub additional_properties: BTreeMap<String, Value>,
    /* private fields */
}
Expand description

Message for specifying limits to the number of values returned by a query. This limit is only for scalar queries and has no effect on timeseries queries.

Fields (Non-exhaustive)§

This struct is marked as 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.
§count: Option<i32>

The number of results to which to limit.

§order: Option<QuerySortOrder>

Direction of sort.

§additional_properties: BTreeMap<String, Value>

Implementations§

Source§

impl FormulaLimit

Source

pub fn new() -> FormulaLimit

Examples found in repository?
examples/v2_metrics_QueryScalarData.rs (line 31)
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async fn main() {
    let body = ScalarFormulaQueryRequest::new(ScalarFormulaRequest::new(
        ScalarFormulaRequestAttributes::new(
            1568899800000,
            vec![ScalarQuery::MetricsScalarQuery(Box::new(
                MetricsScalarQuery::new(
                    MetricsAggregator::AVG,
                    MetricsDataSource::METRICS,
                    "avg:system.cpu.user{*} by {env}".to_string(),
                ),
            ))],
            1568923200000,
        )
        .formulas(vec![QueryFormula::new("a+b".to_string())
            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))]),
        ScalarFormulaRequestType::SCALAR_REQUEST,
    ));
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api.query_scalar_data(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
More examples
Hide additional examples
examples/v2_metrics_QueryTimeseriesData.rs (line 29)
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async fn main() {
    let body = TimeseriesFormulaQueryRequest::new(TimeseriesFormulaRequest::new(
        TimeseriesFormulaRequestAttributes::new(
            1568899800000,
            vec![TimeseriesQuery::MetricsTimeseriesQuery(Box::new(
                MetricsTimeseriesQuery::new(
                    MetricsDataSource::METRICS,
                    "avg:system.cpu.user{*} by {env}".to_string(),
                ),
            ))],
            1568923200000,
        )
        .formulas(vec![QueryFormula::new("a+b".to_string())
            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))])
        .interval(5000),
        TimeseriesFormulaRequestType::TIMESERIES_REQUEST,
    ));
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api.query_timeseries_data(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
examples/v2_metrics_QueryScalarData_3112571352.rs (line 32)
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async fn main() {
    let body = ScalarFormulaQueryRequest::new(ScalarFormulaRequest::new(
        ScalarFormulaRequestAttributes::new(
            1636625471000,
            vec![ScalarQuery::MetricsScalarQuery(Box::new(
                MetricsScalarQuery::new(
                    MetricsAggregator::AVG,
                    MetricsDataSource::METRICS,
                    "avg:system.cpu.user{*}".to_string(),
                )
                .name("a".to_string()),
            ))],
            1636629071000,
        )
        .formulas(vec![QueryFormula::new("a".to_string())
            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))]),
        ScalarFormulaRequestType::SCALAR_REQUEST,
    ));
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api.query_scalar_data(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
examples/v2_metrics_QueryTimeseriesData_301142940.rs (line 30)
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async fn main() {
    let body = TimeseriesFormulaQueryRequest::new(TimeseriesFormulaRequest::new(
        TimeseriesFormulaRequestAttributes::new(
            1636625471000,
            vec![TimeseriesQuery::MetricsTimeseriesQuery(Box::new(
                MetricsTimeseriesQuery::new(
                    MetricsDataSource::METRICS,
                    "avg:datadog.estimated_usage.metrics.custom{*}".to_string(),
                )
                .name("a".to_string()),
            ))],
            1636629071000,
        )
        .formulas(vec![QueryFormula::new("a".to_string())
            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))])
        .interval(5000),
        TimeseriesFormulaRequestType::TIMESERIES_REQUEST,
    ));
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api.query_timeseries_data(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
Source

pub fn count(self, value: i32) -> Self

Examples found in repository?
examples/v2_metrics_QueryScalarData.rs (line 31)
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async fn main() {
    let body = ScalarFormulaQueryRequest::new(ScalarFormulaRequest::new(
        ScalarFormulaRequestAttributes::new(
            1568899800000,
            vec![ScalarQuery::MetricsScalarQuery(Box::new(
                MetricsScalarQuery::new(
                    MetricsAggregator::AVG,
                    MetricsDataSource::METRICS,
                    "avg:system.cpu.user{*} by {env}".to_string(),
                ),
            ))],
            1568923200000,
        )
        .formulas(vec![QueryFormula::new("a+b".to_string())
            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))]),
        ScalarFormulaRequestType::SCALAR_REQUEST,
    ));
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api.query_scalar_data(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
More examples
Hide additional examples
examples/v2_metrics_QueryTimeseriesData.rs (line 29)
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async fn main() {
    let body = TimeseriesFormulaQueryRequest::new(TimeseriesFormulaRequest::new(
        TimeseriesFormulaRequestAttributes::new(
            1568899800000,
            vec![TimeseriesQuery::MetricsTimeseriesQuery(Box::new(
                MetricsTimeseriesQuery::new(
                    MetricsDataSource::METRICS,
                    "avg:system.cpu.user{*} by {env}".to_string(),
                ),
            ))],
            1568923200000,
        )
        .formulas(vec![QueryFormula::new("a+b".to_string())
            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))])
        .interval(5000),
        TimeseriesFormulaRequestType::TIMESERIES_REQUEST,
    ));
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api.query_timeseries_data(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
examples/v2_metrics_QueryScalarData_3112571352.rs (line 32)
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async fn main() {
    let body = ScalarFormulaQueryRequest::new(ScalarFormulaRequest::new(
        ScalarFormulaRequestAttributes::new(
            1636625471000,
            vec![ScalarQuery::MetricsScalarQuery(Box::new(
                MetricsScalarQuery::new(
                    MetricsAggregator::AVG,
                    MetricsDataSource::METRICS,
                    "avg:system.cpu.user{*}".to_string(),
                )
                .name("a".to_string()),
            ))],
            1636629071000,
        )
        .formulas(vec![QueryFormula::new("a".to_string())
            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))]),
        ScalarFormulaRequestType::SCALAR_REQUEST,
    ));
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api.query_scalar_data(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
examples/v2_metrics_QueryTimeseriesData_301142940.rs (line 30)
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async fn main() {
    let body = TimeseriesFormulaQueryRequest::new(TimeseriesFormulaRequest::new(
        TimeseriesFormulaRequestAttributes::new(
            1636625471000,
            vec![TimeseriesQuery::MetricsTimeseriesQuery(Box::new(
                MetricsTimeseriesQuery::new(
                    MetricsDataSource::METRICS,
                    "avg:datadog.estimated_usage.metrics.custom{*}".to_string(),
                )
                .name("a".to_string()),
            ))],
            1636629071000,
        )
        .formulas(vec![QueryFormula::new("a".to_string())
            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))])
        .interval(5000),
        TimeseriesFormulaRequestType::TIMESERIES_REQUEST,
    ));
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api.query_timeseries_data(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
Source

pub fn order(self, value: QuerySortOrder) -> Self

Examples found in repository?
examples/v2_metrics_QueryScalarData.rs (line 31)
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async fn main() {
    let body = ScalarFormulaQueryRequest::new(ScalarFormulaRequest::new(
        ScalarFormulaRequestAttributes::new(
            1568899800000,
            vec![ScalarQuery::MetricsScalarQuery(Box::new(
                MetricsScalarQuery::new(
                    MetricsAggregator::AVG,
                    MetricsDataSource::METRICS,
                    "avg:system.cpu.user{*} by {env}".to_string(),
                ),
            ))],
            1568923200000,
        )
        .formulas(vec![QueryFormula::new("a+b".to_string())
            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))]),
        ScalarFormulaRequestType::SCALAR_REQUEST,
    ));
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api.query_scalar_data(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
More examples
Hide additional examples
examples/v2_metrics_QueryTimeseriesData.rs (line 29)
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async fn main() {
    let body = TimeseriesFormulaQueryRequest::new(TimeseriesFormulaRequest::new(
        TimeseriesFormulaRequestAttributes::new(
            1568899800000,
            vec![TimeseriesQuery::MetricsTimeseriesQuery(Box::new(
                MetricsTimeseriesQuery::new(
                    MetricsDataSource::METRICS,
                    "avg:system.cpu.user{*} by {env}".to_string(),
                ),
            ))],
            1568923200000,
        )
        .formulas(vec![QueryFormula::new("a+b".to_string())
            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))])
        .interval(5000),
        TimeseriesFormulaRequestType::TIMESERIES_REQUEST,
    ));
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api.query_timeseries_data(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
examples/v2_metrics_QueryScalarData_3112571352.rs (line 32)
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async fn main() {
    let body = ScalarFormulaQueryRequest::new(ScalarFormulaRequest::new(
        ScalarFormulaRequestAttributes::new(
            1636625471000,
            vec![ScalarQuery::MetricsScalarQuery(Box::new(
                MetricsScalarQuery::new(
                    MetricsAggregator::AVG,
                    MetricsDataSource::METRICS,
                    "avg:system.cpu.user{*}".to_string(),
                )
                .name("a".to_string()),
            ))],
            1636629071000,
        )
        .formulas(vec![QueryFormula::new("a".to_string())
            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))]),
        ScalarFormulaRequestType::SCALAR_REQUEST,
    ));
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api.query_scalar_data(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
examples/v2_metrics_QueryTimeseriesData_301142940.rs (line 30)
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async fn main() {
    let body = TimeseriesFormulaQueryRequest::new(TimeseriesFormulaRequest::new(
        TimeseriesFormulaRequestAttributes::new(
            1636625471000,
            vec![TimeseriesQuery::MetricsTimeseriesQuery(Box::new(
                MetricsTimeseriesQuery::new(
                    MetricsDataSource::METRICS,
                    "avg:datadog.estimated_usage.metrics.custom{*}".to_string(),
                )
                .name("a".to_string()),
            ))],
            1636629071000,
        )
        .formulas(vec![QueryFormula::new("a".to_string())
            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))])
        .interval(5000),
        TimeseriesFormulaRequestType::TIMESERIES_REQUEST,
    ));
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api.query_timeseries_data(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
Source

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

Trait Implementations§

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impl Clone for FormulaLimit

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fn clone(&self) -> FormulaLimit

Returns a copy of the value. Read more
1.0.0 · Source§

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

Performs copy-assignment from source. Read more
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impl Debug for FormulaLimit

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

Formats the value using the given formatter. Read more
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impl Default for FormulaLimit

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fn default() -> Self

Returns the “default value” for a type. Read more
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impl<'de> Deserialize<'de> for FormulaLimit

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fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more
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impl PartialEq for FormulaLimit

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

Tests for self and other values to be equal, and is used by ==.
1.0.0 · Source§

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

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

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

Serialize this value into the given Serde serializer. Read more
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impl StructuralPartialEq for FormulaLimit

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where T: 'static + ?Sized,

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Gets the TypeId of self. Read more
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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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impl<T> BorrowMut<T> for T
where T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more
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impl<T> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dst: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
Performs copy-assignment from self to dst. Read more
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impl<T> From<T> for T

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fn from(t: T) -> T

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fn instrument(self, span: Span) -> Instrumented<Self>

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impl<T, U> Into<U> for T
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Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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where T: Clone,

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type Owned = T

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Uses borrowed data to replace owned data, usually by cloning. Read more
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impl<T, U> TryFrom<U> for T
where U: Into<T>,

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type Error = Infallible

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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
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impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

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type Error = <U as TryFrom<T>>::Error

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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.
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impl<V, T> VZip<V> for T
where V: MultiLane<T>,

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fn vzip(self) -> V

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where S: Into<Dispatch>,

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