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)
17async fn main() {
18    let body = ScalarFormulaQueryRequest::new(ScalarFormulaRequest::new(
19        ScalarFormulaRequestAttributes::new(
20            1568899800000,
21            vec![ScalarQuery::MetricsScalarQuery(Box::new(
22                MetricsScalarQuery::new(
23                    MetricsAggregator::AVG,
24                    MetricsDataSource::METRICS,
25                    "avg:system.cpu.user{*} by {env}".to_string(),
26                ),
27            ))],
28            1568923200000,
29        )
30        .formulas(vec![QueryFormula::new("a+b".to_string())
31            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))]),
32        ScalarFormulaRequestType::SCALAR_REQUEST,
33    ));
34    let configuration = datadog::Configuration::new();
35    let api = MetricsAPI::with_config(configuration);
36    let resp = api.query_scalar_data(body).await;
37    if let Ok(value) = resp {
38        println!("{:#?}", value);
39    } else {
40        println!("{:#?}", resp.unwrap_err());
41    }
42}
More examples
Hide additional examples
examples/v2_metrics_QueryTimeseriesData.rs (line 29)
16async fn main() {
17    let body = TimeseriesFormulaQueryRequest::new(TimeseriesFormulaRequest::new(
18        TimeseriesFormulaRequestAttributes::new(
19            1568899800000,
20            vec![TimeseriesQuery::MetricsTimeseriesQuery(Box::new(
21                MetricsTimeseriesQuery::new(
22                    MetricsDataSource::METRICS,
23                    "avg:system.cpu.user{*} by {env}".to_string(),
24                ),
25            ))],
26            1568923200000,
27        )
28        .formulas(vec![QueryFormula::new("a+b".to_string())
29            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))])
30        .interval(5000),
31        TimeseriesFormulaRequestType::TIMESERIES_REQUEST,
32    ));
33    let configuration = datadog::Configuration::new();
34    let api = MetricsAPI::with_config(configuration);
35    let resp = api.query_timeseries_data(body).await;
36    if let Ok(value) = resp {
37        println!("{:#?}", value);
38    } else {
39        println!("{:#?}", resp.unwrap_err());
40    }
41}
examples/v2_metrics_QueryScalarData_3112571352.rs (line 32)
17async fn main() {
18    let body = ScalarFormulaQueryRequest::new(ScalarFormulaRequest::new(
19        ScalarFormulaRequestAttributes::new(
20            1636625471000,
21            vec![ScalarQuery::MetricsScalarQuery(Box::new(
22                MetricsScalarQuery::new(
23                    MetricsAggregator::AVG,
24                    MetricsDataSource::METRICS,
25                    "avg:system.cpu.user{*}".to_string(),
26                )
27                .name("a".to_string()),
28            ))],
29            1636629071000,
30        )
31        .formulas(vec![QueryFormula::new("a".to_string())
32            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))]),
33        ScalarFormulaRequestType::SCALAR_REQUEST,
34    ));
35    let configuration = datadog::Configuration::new();
36    let api = MetricsAPI::with_config(configuration);
37    let resp = api.query_scalar_data(body).await;
38    if let Ok(value) = resp {
39        println!("{:#?}", value);
40    } else {
41        println!("{:#?}", resp.unwrap_err());
42    }
43}
examples/v2_metrics_QueryTimeseriesData_301142940.rs (line 30)
16async fn main() {
17    let body = TimeseriesFormulaQueryRequest::new(TimeseriesFormulaRequest::new(
18        TimeseriesFormulaRequestAttributes::new(
19            1636625471000,
20            vec![TimeseriesQuery::MetricsTimeseriesQuery(Box::new(
21                MetricsTimeseriesQuery::new(
22                    MetricsDataSource::METRICS,
23                    "avg:datadog.estimated_usage.metrics.custom{*}".to_string(),
24                )
25                .name("a".to_string()),
26            ))],
27            1636629071000,
28        )
29        .formulas(vec![QueryFormula::new("a".to_string())
30            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))])
31        .interval(5000),
32        TimeseriesFormulaRequestType::TIMESERIES_REQUEST,
33    ));
34    let configuration = datadog::Configuration::new();
35    let api = MetricsAPI::with_config(configuration);
36    let resp = api.query_timeseries_data(body).await;
37    if let Ok(value) = resp {
38        println!("{:#?}", value);
39    } else {
40        println!("{:#?}", resp.unwrap_err());
41    }
42}
Source

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

Examples found in repository?
examples/v2_metrics_QueryScalarData.rs (line 31)
17async fn main() {
18    let body = ScalarFormulaQueryRequest::new(ScalarFormulaRequest::new(
19        ScalarFormulaRequestAttributes::new(
20            1568899800000,
21            vec![ScalarQuery::MetricsScalarQuery(Box::new(
22                MetricsScalarQuery::new(
23                    MetricsAggregator::AVG,
24                    MetricsDataSource::METRICS,
25                    "avg:system.cpu.user{*} by {env}".to_string(),
26                ),
27            ))],
28            1568923200000,
29        )
30        .formulas(vec![QueryFormula::new("a+b".to_string())
31            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))]),
32        ScalarFormulaRequestType::SCALAR_REQUEST,
33    ));
34    let configuration = datadog::Configuration::new();
35    let api = MetricsAPI::with_config(configuration);
36    let resp = api.query_scalar_data(body).await;
37    if let Ok(value) = resp {
38        println!("{:#?}", value);
39    } else {
40        println!("{:#?}", resp.unwrap_err());
41    }
42}
More examples
Hide additional examples
examples/v2_metrics_QueryTimeseriesData.rs (line 29)
16async fn main() {
17    let body = TimeseriesFormulaQueryRequest::new(TimeseriesFormulaRequest::new(
18        TimeseriesFormulaRequestAttributes::new(
19            1568899800000,
20            vec![TimeseriesQuery::MetricsTimeseriesQuery(Box::new(
21                MetricsTimeseriesQuery::new(
22                    MetricsDataSource::METRICS,
23                    "avg:system.cpu.user{*} by {env}".to_string(),
24                ),
25            ))],
26            1568923200000,
27        )
28        .formulas(vec![QueryFormula::new("a+b".to_string())
29            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))])
30        .interval(5000),
31        TimeseriesFormulaRequestType::TIMESERIES_REQUEST,
32    ));
33    let configuration = datadog::Configuration::new();
34    let api = MetricsAPI::with_config(configuration);
35    let resp = api.query_timeseries_data(body).await;
36    if let Ok(value) = resp {
37        println!("{:#?}", value);
38    } else {
39        println!("{:#?}", resp.unwrap_err());
40    }
41}
examples/v2_metrics_QueryScalarData_3112571352.rs (line 32)
17async fn main() {
18    let body = ScalarFormulaQueryRequest::new(ScalarFormulaRequest::new(
19        ScalarFormulaRequestAttributes::new(
20            1636625471000,
21            vec![ScalarQuery::MetricsScalarQuery(Box::new(
22                MetricsScalarQuery::new(
23                    MetricsAggregator::AVG,
24                    MetricsDataSource::METRICS,
25                    "avg:system.cpu.user{*}".to_string(),
26                )
27                .name("a".to_string()),
28            ))],
29            1636629071000,
30        )
31        .formulas(vec![QueryFormula::new("a".to_string())
32            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))]),
33        ScalarFormulaRequestType::SCALAR_REQUEST,
34    ));
35    let configuration = datadog::Configuration::new();
36    let api = MetricsAPI::with_config(configuration);
37    let resp = api.query_scalar_data(body).await;
38    if let Ok(value) = resp {
39        println!("{:#?}", value);
40    } else {
41        println!("{:#?}", resp.unwrap_err());
42    }
43}
examples/v2_metrics_QueryTimeseriesData_301142940.rs (line 30)
16async fn main() {
17    let body = TimeseriesFormulaQueryRequest::new(TimeseriesFormulaRequest::new(
18        TimeseriesFormulaRequestAttributes::new(
19            1636625471000,
20            vec![TimeseriesQuery::MetricsTimeseriesQuery(Box::new(
21                MetricsTimeseriesQuery::new(
22                    MetricsDataSource::METRICS,
23                    "avg:datadog.estimated_usage.metrics.custom{*}".to_string(),
24                )
25                .name("a".to_string()),
26            ))],
27            1636629071000,
28        )
29        .formulas(vec![QueryFormula::new("a".to_string())
30            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))])
31        .interval(5000),
32        TimeseriesFormulaRequestType::TIMESERIES_REQUEST,
33    ));
34    let configuration = datadog::Configuration::new();
35    let api = MetricsAPI::with_config(configuration);
36    let resp = api.query_timeseries_data(body).await;
37    if let Ok(value) = resp {
38        println!("{:#?}", value);
39    } else {
40        println!("{:#?}", resp.unwrap_err());
41    }
42}
Source

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

Examples found in repository?
examples/v2_metrics_QueryScalarData.rs (line 31)
17async fn main() {
18    let body = ScalarFormulaQueryRequest::new(ScalarFormulaRequest::new(
19        ScalarFormulaRequestAttributes::new(
20            1568899800000,
21            vec![ScalarQuery::MetricsScalarQuery(Box::new(
22                MetricsScalarQuery::new(
23                    MetricsAggregator::AVG,
24                    MetricsDataSource::METRICS,
25                    "avg:system.cpu.user{*} by {env}".to_string(),
26                ),
27            ))],
28            1568923200000,
29        )
30        .formulas(vec![QueryFormula::new("a+b".to_string())
31            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))]),
32        ScalarFormulaRequestType::SCALAR_REQUEST,
33    ));
34    let configuration = datadog::Configuration::new();
35    let api = MetricsAPI::with_config(configuration);
36    let resp = api.query_scalar_data(body).await;
37    if let Ok(value) = resp {
38        println!("{:#?}", value);
39    } else {
40        println!("{:#?}", resp.unwrap_err());
41    }
42}
More examples
Hide additional examples
examples/v2_metrics_QueryTimeseriesData.rs (line 29)
16async fn main() {
17    let body = TimeseriesFormulaQueryRequest::new(TimeseriesFormulaRequest::new(
18        TimeseriesFormulaRequestAttributes::new(
19            1568899800000,
20            vec![TimeseriesQuery::MetricsTimeseriesQuery(Box::new(
21                MetricsTimeseriesQuery::new(
22                    MetricsDataSource::METRICS,
23                    "avg:system.cpu.user{*} by {env}".to_string(),
24                ),
25            ))],
26            1568923200000,
27        )
28        .formulas(vec![QueryFormula::new("a+b".to_string())
29            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))])
30        .interval(5000),
31        TimeseriesFormulaRequestType::TIMESERIES_REQUEST,
32    ));
33    let configuration = datadog::Configuration::new();
34    let api = MetricsAPI::with_config(configuration);
35    let resp = api.query_timeseries_data(body).await;
36    if let Ok(value) = resp {
37        println!("{:#?}", value);
38    } else {
39        println!("{:#?}", resp.unwrap_err());
40    }
41}
examples/v2_metrics_QueryScalarData_3112571352.rs (line 32)
17async fn main() {
18    let body = ScalarFormulaQueryRequest::new(ScalarFormulaRequest::new(
19        ScalarFormulaRequestAttributes::new(
20            1636625471000,
21            vec![ScalarQuery::MetricsScalarQuery(Box::new(
22                MetricsScalarQuery::new(
23                    MetricsAggregator::AVG,
24                    MetricsDataSource::METRICS,
25                    "avg:system.cpu.user{*}".to_string(),
26                )
27                .name("a".to_string()),
28            ))],
29            1636629071000,
30        )
31        .formulas(vec![QueryFormula::new("a".to_string())
32            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))]),
33        ScalarFormulaRequestType::SCALAR_REQUEST,
34    ));
35    let configuration = datadog::Configuration::new();
36    let api = MetricsAPI::with_config(configuration);
37    let resp = api.query_scalar_data(body).await;
38    if let Ok(value) = resp {
39        println!("{:#?}", value);
40    } else {
41        println!("{:#?}", resp.unwrap_err());
42    }
43}
examples/v2_metrics_QueryTimeseriesData_301142940.rs (line 30)
16async fn main() {
17    let body = TimeseriesFormulaQueryRequest::new(TimeseriesFormulaRequest::new(
18        TimeseriesFormulaRequestAttributes::new(
19            1636625471000,
20            vec![TimeseriesQuery::MetricsTimeseriesQuery(Box::new(
21                MetricsTimeseriesQuery::new(
22                    MetricsDataSource::METRICS,
23                    "avg:datadog.estimated_usage.metrics.custom{*}".to_string(),
24                )
25                .name("a".to_string()),
26            ))],
27            1636629071000,
28        )
29        .formulas(vec![QueryFormula::new("a".to_string())
30            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))])
31        .interval(5000),
32        TimeseriesFormulaRequestType::TIMESERIES_REQUEST,
33    ));
34    let configuration = datadog::Configuration::new();
35    let api = MetricsAPI::with_config(configuration);
36    let resp = api.query_timeseries_data(body).await;
37    if let Ok(value) = resp {
38        println!("{:#?}", value);
39    } else {
40        println!("{:#?}", resp.unwrap_err());
41    }
42}
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 duplicate 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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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
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