Struct Pivot

pub struct Pivot {
    pub dimension_filter_clauses: Option<Vec<DimensionFilterClause>>,
    pub dimensions: Option<Vec<Dimension>>,
    pub max_group_count: Option<i32>,
    pub metrics: Option<Vec<Metric>>,
    pub start_group: Option<i32>,
}

The Pivot describes the pivot section in the request. The Pivot helps rearrange the information in the table for certain reports by pivoting your data on a second dimension.

This type is not used in any activity, and only used as part of another schema.

Fields

dimension_filter_clauses: Option<Vec<DimensionFilterClause>>

DimensionFilterClauses are logically combined with an AND operator: only data that is included by all these DimensionFilterClauses contributes to the values in this pivot region. Dimension filters can be used to restrict the columns shown in the pivot region. For example if you have ga:browser as the requested dimension in the pivot region, and you specify key filters to restrict ga:browser to only “IE” or “Firefox”, then only those two browsers would show up as columns.

dimensions: Option<Vec<Dimension>>

A list of dimensions to show as pivot columns. A Pivot can have a maximum of 4 dimensions. Pivot dimensions are part of the restriction on the total number of dimensions allowed in the request.

max_group_count: Option<i32>

Specifies the maximum number of groups to return. The default value is 10, also the maximum value is 1,000.

metrics: Option<Vec<Metric>>

The pivot metrics. Pivot metrics are part of the restriction on total number of metrics allowed in the request.

start_group: Option<i32>

If k metrics were requested, then the response will contain some data-dependent multiple of k columns in the report. E.g., if you pivoted on the dimension ga:browser then you’d get k columns for “Firefox”, k columns for “IE”, k columns for “Chrome”, etc. The ordering of the groups of columns is determined by descending order of “total” for the first of the k values. Ties are broken by lexicographic ordering of the first pivot dimension, then lexicographic ordering of the second pivot dimension, and so on. E.g., if the totals for the first value for Firefox, IE, and Chrome were 8, 2, 8, respectively, the order of columns would be Chrome, Firefox, IE. The following let you choose which of the groups of k columns are included in the response.

Trait Implementations

impl Clone for Pivot

fn clone(&self) -> Pivot

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Pivot

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

Formats the value using the given formatter.

impl Default for Pivot

fn default() -> Pivot

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for Pivot

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for Pivot

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Part for Pivot