Struct datadog_api_client::datadogV1::model::model_log_query_definition::LogQueryDefinition

#[non_exhaustive]
pub struct LogQueryDefinition {
    pub compute: Option<LogsQueryCompute>,
    pub group_by: Option<Vec<LogQueryDefinitionGroupBy>>,
    pub index: Option<String>,
    pub multi_compute: Option<Vec<LogsQueryCompute>>,
    pub search: Option<LogQueryDefinitionSearch>,
    pub additional_properties: BTreeMap<String, Value>,
    /* private fields */
}

The log query.

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.

compute: Option<LogsQueryCompute>

Define computation for a log query.

group_by: Option<Vec<LogQueryDefinitionGroupBy>>

List of tag prefixes to group by in the case of a cluster check.

index: Option<String>

A coma separated-list of index names. Use “*” query all indexes at once. Multiple Indexes

multi_compute: Option<Vec<LogsQueryCompute>>

This field is mutually exclusive with compute.

search: Option<LogQueryDefinitionSearch>

The query being made on the logs.

additional_properties: BTreeMap<String, Value>

Implementations

impl LogQueryDefinition

pub fn new() -> LogQueryDefinition

Examples found in repository

examples/v1_dashboards_CreateDashboard.rs (line 26)

async fn main() {
    let body = Dashboard::new(
        DashboardLayoutType::ORDERED,
        "Example-Dashboard with Profile Metrics Query".to_string(),
        vec![Widget::new(WidgetDefinition::TimeseriesWidgetDefinition(
            Box::new(TimeseriesWidgetDefinition::new(
                vec![TimeseriesWidgetRequest::new().profile_metrics_query(
                    LogQueryDefinition::new()
                        .compute(
                            LogsQueryCompute::new("sum".to_string())
                                .facet("@prof_core_cpu_cores".to_string()),
                        )
                        .group_by(vec![LogQueryDefinitionGroupBy::new("service".to_string())
                            .limit(10)
                            .sort(
                                LogQueryDefinitionGroupBySort::new(
                                    "sum".to_string(),
                                    WidgetSort::DESCENDING,
                                )
                                .facet("@prof_core_cpu_cores".to_string()),
                            )])
                        .search(LogQueryDefinitionSearch::new("runtime:jvm".to_string())),
                )],
                TimeseriesWidgetDefinitionType::TIMESERIES,
            )),
        ))],
    );
    let configuration = datadog::Configuration::new();
    let api = DashboardsAPI::with_config(configuration);
    let resp = api.create_dashboard(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub fn compute(self, value: LogsQueryCompute) -> Self

Examples found in repository

examples/v1_dashboards_CreateDashboard.rs (lines 27-30)

async fn main() {
    let body = Dashboard::new(
        DashboardLayoutType::ORDERED,
        "Example-Dashboard with Profile Metrics Query".to_string(),
        vec![Widget::new(WidgetDefinition::TimeseriesWidgetDefinition(
            Box::new(TimeseriesWidgetDefinition::new(
                vec![TimeseriesWidgetRequest::new().profile_metrics_query(
                    LogQueryDefinition::new()
                        .compute(
                            LogsQueryCompute::new("sum".to_string())
                                .facet("@prof_core_cpu_cores".to_string()),
                        )
                        .group_by(vec![LogQueryDefinitionGroupBy::new("service".to_string())
                            .limit(10)
                            .sort(
                                LogQueryDefinitionGroupBySort::new(
                                    "sum".to_string(),
                                    WidgetSort::DESCENDING,
                                )
                                .facet("@prof_core_cpu_cores".to_string()),
                            )])
                        .search(LogQueryDefinitionSearch::new("runtime:jvm".to_string())),
                )],
                TimeseriesWidgetDefinitionType::TIMESERIES,
            )),
        ))],
    );
    let configuration = datadog::Configuration::new();
    let api = DashboardsAPI::with_config(configuration);
    let resp = api.create_dashboard(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub fn group_by(self, value: Vec<LogQueryDefinitionGroupBy>) -> Self

Examples found in repository

examples/v1_dashboards_CreateDashboard.rs (lines 31-39)

async fn main() {
    let body = Dashboard::new(
        DashboardLayoutType::ORDERED,
        "Example-Dashboard with Profile Metrics Query".to_string(),
        vec![Widget::new(WidgetDefinition::TimeseriesWidgetDefinition(
            Box::new(TimeseriesWidgetDefinition::new(
                vec![TimeseriesWidgetRequest::new().profile_metrics_query(
                    LogQueryDefinition::new()
                        .compute(
                            LogsQueryCompute::new("sum".to_string())
                                .facet("@prof_core_cpu_cores".to_string()),
                        )
                        .group_by(vec![LogQueryDefinitionGroupBy::new("service".to_string())
                            .limit(10)
                            .sort(
                                LogQueryDefinitionGroupBySort::new(
                                    "sum".to_string(),
                                    WidgetSort::DESCENDING,
                                )
                                .facet("@prof_core_cpu_cores".to_string()),
                            )])
                        .search(LogQueryDefinitionSearch::new("runtime:jvm".to_string())),
                )],
                TimeseriesWidgetDefinitionType::TIMESERIES,
            )),
        ))],
    );
    let configuration = datadog::Configuration::new();
    let api = DashboardsAPI::with_config(configuration);
    let resp = api.create_dashboard(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

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

pub fn multi_compute(self, value: Vec<LogsQueryCompute>) -> Self

pub fn search(self, value: LogQueryDefinitionSearch) -> Self

Examples found in repository

examples/v1_dashboards_CreateDashboard.rs (line 40)

async fn main() {
    let body = Dashboard::new(
        DashboardLayoutType::ORDERED,
        "Example-Dashboard with Profile Metrics Query".to_string(),
        vec![Widget::new(WidgetDefinition::TimeseriesWidgetDefinition(
            Box::new(TimeseriesWidgetDefinition::new(
                vec![TimeseriesWidgetRequest::new().profile_metrics_query(
                    LogQueryDefinition::new()
                        .compute(
                            LogsQueryCompute::new("sum".to_string())
                                .facet("@prof_core_cpu_cores".to_string()),
                        )
                        .group_by(vec![LogQueryDefinitionGroupBy::new("service".to_string())
                            .limit(10)
                            .sort(
                                LogQueryDefinitionGroupBySort::new(
                                    "sum".to_string(),
                                    WidgetSort::DESCENDING,
                                )
                                .facet("@prof_core_cpu_cores".to_string()),
                            )])
                        .search(LogQueryDefinitionSearch::new("runtime:jvm".to_string())),
                )],
                TimeseriesWidgetDefinitionType::TIMESERIES,
            )),
        ))],
    );
    let configuration = datadog::Configuration::new();
    let api = DashboardsAPI::with_config(configuration);
    let resp = api.create_dashboard(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 LogQueryDefinition

fn clone(&self) -> LogQueryDefinition

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for LogQueryDefinition

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

Formats the value using the given formatter.

impl Default for LogQueryDefinition

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for LogQueryDefinition

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

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for LogQueryDefinition

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

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 LogQueryDefinition