Struct google_analyticsdata1_beta::api::RunPivotReportResponse

pub struct RunPivotReportResponse {
    pub aggregates: Option<Vec<Row>>,
    pub dimension_headers: Option<Vec<DimensionHeader>>,
    pub kind: Option<String>,
    pub metadata: Option<ResponseMetaData>,
    pub metric_headers: Option<Vec<MetricHeader>>,
    pub pivot_headers: Option<Vec<PivotHeader>>,
    pub property_quota: Option<PropertyQuota>,
    pub rows: Option<Vec<Row>>,
}

The response pivot report table corresponding to a pivot request.

Activities

This type is used in activities, which are methods you may call on this type or where this type is involved in. The list links the activity name, along with information about where it is used (one of request and response).

• run pivot report properties (response)

Fields

aggregates: Option<Vec<Row>>

Aggregation of metric values. Can be totals, minimums, or maximums. The returned aggregations are controlled by the metric_aggregations in the pivot. The type of aggregation returned in each row is shown by the dimension_values which are set to “RESERVED_”.

dimension_headers: Option<Vec<DimensionHeader>>

Describes dimension columns. The number of DimensionHeaders and ordering of DimensionHeaders matches the dimensions present in rows.

kind: Option<String>

Identifies what kind of resource this message is. This kind is always the fixed string “analyticsData#runPivotReport”. Useful to distinguish between response types in JSON.

metadata: Option<ResponseMetaData>

Metadata for the report.

metric_headers: Option<Vec<MetricHeader>>

Describes metric columns. The number of MetricHeaders and ordering of MetricHeaders matches the metrics present in rows.

pivot_headers: Option<Vec<PivotHeader>>

Summarizes the columns and rows created by a pivot. Each pivot in the request produces one header in the response. If we have a request like this: “pivots”: [{ “fieldNames”: [“country”, “city”] }, { “fieldNames”: “eventName” }] We will have the following pivotHeaders in the response: “pivotHeaders” : [{ “dimensionHeaders”: [{ “dimensionValues”: [ { “value”: “United Kingdom” }, { “value”: “London” } ] }, { “dimensionValues”: [ { “value”: “Japan” }, { “value”: “Osaka” } ] }] }, { “dimensionHeaders”: [{ “dimensionValues”: [{ “value”: “session_start” }] }, { “dimensionValues”: [{ “value”: “scroll” }] }] }]

property_quota: Option<PropertyQuota>

This Analytics Property’s quota state including this request.

rows: Option<Vec<Row>>

Rows of dimension value combinations and metric values in the report.

Trait Implementations

impl Clone for RunPivotReportResponse

fn clone(&self) -> RunPivotReportResponse

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for RunPivotReportResponse

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

Formats the value using the given formatter.

impl Default for RunPivotReportResponse

fn default() -> RunPivotReportResponse

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for RunPivotReportResponse

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

Deserialize this value from the given Serde deserializer.

impl Serialize for RunPivotReportResponse

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

Serialize this value into the given Serde serializer.

impl ResponseResult for RunPivotReportResponse