Struct gapi_grpc::google::analytics::data::v1alpha::alpha_analytics_data_client::AlphaAnalyticsDataClient [−][src]
Google Analytics reporting data service.
Implementations
impl AlphaAnalyticsDataClient<Channel>
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pub async fn connect<D>(dst: D) -> Result<Self, Error> where
D: TryInto<Endpoint>,
D::Error: Into<StdError>,
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D: TryInto<Endpoint>,
D::Error: Into<StdError>,
Attempt to create a new client by connecting to a given endpoint.
impl<T> AlphaAnalyticsDataClient<T> where
T: GrpcService<BoxBody>,
T::ResponseBody: Body + HttpBody + Send + 'static,
T::Error: Into<StdError>,
<T::ResponseBody as HttpBody>::Error: Into<StdError> + Send,
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T: GrpcService<BoxBody>,
T::ResponseBody: Body + HttpBody + Send + 'static,
T::Error: Into<StdError>,
<T::ResponseBody as HttpBody>::Error: Into<StdError> + Send,
pub fn new(inner: T) -> Self
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pub fn with_interceptor(inner: T, interceptor: impl Into<Interceptor>) -> Self
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pub async fn run_report(
&mut self,
request: impl IntoRequest<RunReportRequest>
) -> Result<Response<RunReportResponse>, Status>
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&mut self,
request: impl IntoRequest<RunReportRequest>
) -> Result<Response<RunReportResponse>, Status>
Returns a customized report of your Google Analytics event data. Reports contain statistics derived from data collected by the Google Analytics tracking code. The data returned from the API is as a table with columns for the requested dimensions and metrics. Metrics are individual measurements of user activity on your property, such as active users or event count. Dimensions break down metrics across some common criteria, such as country or event name.
pub async fn run_pivot_report(
&mut self,
request: impl IntoRequest<RunPivotReportRequest>
) -> Result<Response<RunPivotReportResponse>, Status>
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&mut self,
request: impl IntoRequest<RunPivotReportRequest>
) -> Result<Response<RunPivotReportResponse>, Status>
Returns a customized pivot report of your Google Analytics event data. Pivot reports are more advanced and expressive formats than regular reports. In a pivot report, dimensions are only visible if they are included in a pivot. Multiple pivots can be specified to further dissect your data.
pub async fn batch_run_reports(
&mut self,
request: impl IntoRequest<BatchRunReportsRequest>
) -> Result<Response<BatchRunReportsResponse>, Status>
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&mut self,
request: impl IntoRequest<BatchRunReportsRequest>
) -> Result<Response<BatchRunReportsResponse>, Status>
Returns multiple reports in a batch. All reports must be for the same Entity.
pub async fn batch_run_pivot_reports(
&mut self,
request: impl IntoRequest<BatchRunPivotReportsRequest>
) -> Result<Response<BatchRunPivotReportsResponse>, Status>
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&mut self,
request: impl IntoRequest<BatchRunPivotReportsRequest>
) -> Result<Response<BatchRunPivotReportsResponse>, Status>
Returns multiple pivot reports in a batch. All reports must be for the same Entity.
pub async fn get_metadata(
&mut self,
request: impl IntoRequest<GetMetadataRequest>
) -> Result<Response<Metadata>, Status>
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&mut self,
request: impl IntoRequest<GetMetadataRequest>
) -> Result<Response<Metadata>, Status>
Returns metadata for dimensions and metrics available in reporting methods. Used to explore the dimensions and metrics. In this method, a Google Analytics GA4 Property Identifier is specified in the request, and the metadata response includes Custom dimensions and metrics as well as Universal metadata.
For example if a custom metric with parameter name levels_unlocked
is
registered to a property, the Metadata response will contain
customEvent:levels_unlocked
. Universal metadata are dimensions and
metrics applicable to any property such as country
and totalUsers
.
pub async fn run_realtime_report(
&mut self,
request: impl IntoRequest<RunRealtimeReportRequest>
) -> Result<Response<RunRealtimeReportResponse>, Status>
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&mut self,
request: impl IntoRequest<RunRealtimeReportRequest>
) -> Result<Response<RunRealtimeReportResponse>, Status>
The Google Analytics Realtime API returns a customized report of realtime event data for your property. These reports show events and usage from the last 30 minutes.
Trait Implementations
impl<T: Clone> Clone for AlphaAnalyticsDataClient<T>
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fn clone(&self) -> Self
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pub fn clone_from(&mut self, source: &Self)
1.0.0[src]
impl<T> Debug for AlphaAnalyticsDataClient<T>
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Auto Trait Implementations
impl<T> !RefUnwindSafe for AlphaAnalyticsDataClient<T>
impl<T> Send for AlphaAnalyticsDataClient<T> where
T: Send,
T: Send,
impl<T> Sync for AlphaAnalyticsDataClient<T> where
T: Sync,
T: Sync,
impl<T> Unpin for AlphaAnalyticsDataClient<T> where
T: Unpin,
T: Unpin,
impl<T> !UnwindSafe for AlphaAnalyticsDataClient<T>
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> IntoRequest<T> for T
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pub fn into_request(self) -> Request<T>
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impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
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pub fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
pub fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
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impl<V, T> VZip<V> for T where
V: MultiLane<T>,
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V: MultiLane<T>,
impl<T> WithSubscriber for T
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pub fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
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S: Into<Dispatch>,