Struct datadog_api_client::datadogV2::model::model_logs_aggregate_request::LogsAggregateRequest

#[non_exhaustive]
pub struct LogsAggregateRequest {
    pub compute: Option<Vec<LogsCompute>>,
    pub filter: Option<LogsQueryFilter>,
    pub group_by: Option<Vec<LogsGroupBy>>,
    pub options: Option<LogsQueryOptions>,
    pub page: Option<LogsAggregateRequestPage>,
    pub additional_properties: BTreeMap<String, Value>,
    /* private fields */
}

The object sent with the request to retrieve a list of logs from your organization.

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<Vec<LogsCompute>>

The list of metrics or timeseries to compute for the retrieved buckets.

filter: Option<LogsQueryFilter>

The search and filter query settings

group_by: Option<Vec<LogsGroupBy>>

The rules for the group by

options: Option<LogsQueryOptions>

Global query options that are used during the query. Note: you should supply either timezone or time offset, but not both. Otherwise, the query will fail.

page: Option<LogsAggregateRequestPage>

Paging settings

additional_properties: BTreeMap<String, Value>

Implementations

impl LogsAggregateRequest

pub fn new() -> LogsAggregateRequest

Examples found in repository

examples/v2_logs_AggregateLogs.rs (line 9)

async fn main() {
    let body = LogsAggregateRequest::new().filter(
        LogsQueryFilter::new()
            .from("now-15m".to_string())
            .indexes(vec!["main".to_string()])
            .query("*".to_string())
            .to("now".to_string()),
    );
    let configuration = datadog::Configuration::new();
    let api = LogsAPI::with_config(configuration);
    let resp = api.aggregate_logs(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

examples/v2_logs_AggregateLogs_2527007002.rs (line 12)

async fn main() {
    let body = LogsAggregateRequest::new()
        .compute(vec![LogsCompute::new(LogsAggregationFunction::COUNT)
            .interval("5m".to_string())
            .type_(LogsComputeType::TIMESERIES)])
        .filter(
            LogsQueryFilter::new()
                .from("now-15m".to_string())
                .indexes(vec!["main".to_string()])
                .query("*".to_string())
                .to("now".to_string()),
        );
    let configuration = datadog::Configuration::new();
    let api = LogsAPI::with_config(configuration);
    let resp = api.aggregate_logs(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

examples/v2_logs_AggregateLogs_2955613758.rs (line 18)

async fn main() {
    let body = LogsAggregateRequest::new()
        .compute(vec![LogsCompute::new(LogsAggregationFunction::COUNT)
            .interval("5m".to_string())
            .type_(LogsComputeType::TIMESERIES)])
        .filter(
            LogsQueryFilter::new()
                .from("now-15m".to_string())
                .indexes(vec!["main".to_string()])
                .query("*".to_string())
                .to("now".to_string()),
        )
        .group_by(vec![LogsGroupBy::new("host".to_string())
            .missing(LogsGroupByMissing::LogsGroupByMissingString(
                "miss".to_string(),
            ))
            .sort(
                LogsAggregateSort::new()
                    .aggregation(LogsAggregationFunction::PERCENTILE_90)
                    .metric("@duration".to_string())
                    .order(LogsSortOrder::ASCENDING)
                    .type_(LogsAggregateSortType::MEASURE),
            )
            .total(LogsGroupByTotal::LogsGroupByTotalString(
                "recall".to_string(),
            ))]);
    let configuration = datadog::Configuration::new();
    let api = LogsAPI::with_config(configuration);
    let resp = api.aggregate_logs(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub fn compute(self, value: Vec<LogsCompute>) -> Self

Examples found in repository

examples/v2_logs_AggregateLogs_2527007002.rs (lines 13-15)

async fn main() {
    let body = LogsAggregateRequest::new()
        .compute(vec![LogsCompute::new(LogsAggregationFunction::COUNT)
            .interval("5m".to_string())
            .type_(LogsComputeType::TIMESERIES)])
        .filter(
            LogsQueryFilter::new()
                .from("now-15m".to_string())
                .indexes(vec!["main".to_string()])
                .query("*".to_string())
                .to("now".to_string()),
        );
    let configuration = datadog::Configuration::new();
    let api = LogsAPI::with_config(configuration);
    let resp = api.aggregate_logs(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

examples/v2_logs_AggregateLogs_2955613758.rs (lines 19-21)

async fn main() {
    let body = LogsAggregateRequest::new()
        .compute(vec![LogsCompute::new(LogsAggregationFunction::COUNT)
            .interval("5m".to_string())
            .type_(LogsComputeType::TIMESERIES)])
        .filter(
            LogsQueryFilter::new()
                .from("now-15m".to_string())
                .indexes(vec!["main".to_string()])
                .query("*".to_string())
                .to("now".to_string()),
        )
        .group_by(vec![LogsGroupBy::new("host".to_string())
            .missing(LogsGroupByMissing::LogsGroupByMissingString(
                "miss".to_string(),
            ))
            .sort(
                LogsAggregateSort::new()
                    .aggregation(LogsAggregationFunction::PERCENTILE_90)
                    .metric("@duration".to_string())
                    .order(LogsSortOrder::ASCENDING)
                    .type_(LogsAggregateSortType::MEASURE),
            )
            .total(LogsGroupByTotal::LogsGroupByTotalString(
                "recall".to_string(),
            ))]);
    let configuration = datadog::Configuration::new();
    let api = LogsAPI::with_config(configuration);
    let resp = api.aggregate_logs(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub fn filter(self, value: LogsQueryFilter) -> Self

Examples found in repository

examples/v2_logs_AggregateLogs.rs (lines 9-15)

async fn main() {
    let body = LogsAggregateRequest::new().filter(
        LogsQueryFilter::new()
            .from("now-15m".to_string())
            .indexes(vec!["main".to_string()])
            .query("*".to_string())
            .to("now".to_string()),
    );
    let configuration = datadog::Configuration::new();
    let api = LogsAPI::with_config(configuration);
    let resp = api.aggregate_logs(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

examples/v2_logs_AggregateLogs_2527007002.rs (lines 16-22)

async fn main() {
    let body = LogsAggregateRequest::new()
        .compute(vec![LogsCompute::new(LogsAggregationFunction::COUNT)
            .interval("5m".to_string())
            .type_(LogsComputeType::TIMESERIES)])
        .filter(
            LogsQueryFilter::new()
                .from("now-15m".to_string())
                .indexes(vec!["main".to_string()])
                .query("*".to_string())
                .to("now".to_string()),
        );
    let configuration = datadog::Configuration::new();
    let api = LogsAPI::with_config(configuration);
    let resp = api.aggregate_logs(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

examples/v2_logs_AggregateLogs_2955613758.rs (lines 22-28)

async fn main() {
    let body = LogsAggregateRequest::new()
        .compute(vec![LogsCompute::new(LogsAggregationFunction::COUNT)
            .interval("5m".to_string())
            .type_(LogsComputeType::TIMESERIES)])
        .filter(
            LogsQueryFilter::new()
                .from("now-15m".to_string())
                .indexes(vec!["main".to_string()])
                .query("*".to_string())
                .to("now".to_string()),
        )
        .group_by(vec![LogsGroupBy::new("host".to_string())
            .missing(LogsGroupByMissing::LogsGroupByMissingString(
                "miss".to_string(),
            ))
            .sort(
                LogsAggregateSort::new()
                    .aggregation(LogsAggregationFunction::PERCENTILE_90)
                    .metric("@duration".to_string())
                    .order(LogsSortOrder::ASCENDING)
                    .type_(LogsAggregateSortType::MEASURE),
            )
            .total(LogsGroupByTotal::LogsGroupByTotalString(
                "recall".to_string(),
            ))]);
    let configuration = datadog::Configuration::new();
    let api = LogsAPI::with_config(configuration);
    let resp = api.aggregate_logs(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

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

Examples found in repository

examples/v2_logs_AggregateLogs_2955613758.rs (lines 29-42)

async fn main() {
    let body = LogsAggregateRequest::new()
        .compute(vec![LogsCompute::new(LogsAggregationFunction::COUNT)
            .interval("5m".to_string())
            .type_(LogsComputeType::TIMESERIES)])
        .filter(
            LogsQueryFilter::new()
                .from("now-15m".to_string())
                .indexes(vec!["main".to_string()])
                .query("*".to_string())
                .to("now".to_string()),
        )
        .group_by(vec![LogsGroupBy::new("host".to_string())
            .missing(LogsGroupByMissing::LogsGroupByMissingString(
                "miss".to_string(),
            ))
            .sort(
                LogsAggregateSort::new()
                    .aggregation(LogsAggregationFunction::PERCENTILE_90)
                    .metric("@duration".to_string())
                    .order(LogsSortOrder::ASCENDING)
                    .type_(LogsAggregateSortType::MEASURE),
            )
            .total(LogsGroupByTotal::LogsGroupByTotalString(
                "recall".to_string(),
            ))]);
    let configuration = datadog::Configuration::new();
    let api = LogsAPI::with_config(configuration);
    let resp = api.aggregate_logs(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub fn options(self, value: LogsQueryOptions) -> Self

pub fn page(self, value: LogsAggregateRequestPage) -> Self

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

Trait Implementations

impl Clone for LogsAggregateRequest

fn clone(&self) -> LogsAggregateRequest

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for LogsAggregateRequest

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

Formats the value using the given formatter.

impl Default for LogsAggregateRequest

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for LogsAggregateRequest

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

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for LogsAggregateRequest

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

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 LogsAggregateRequest