Struct AnalyticsQuery

pub struct AnalyticsQuery {
    pub table: TableTrue,
    pub group_by: Option<Vec<GroupByTrue>>,
    pub name: String,
    pub time_range: Option<TimeRange>,
    pub operations: Vec<AnalyticsOperation>,
}

Fields

table: TableTrue

This is the table you want to query.

group_by: Option<Vec<GroupByTrue>>

This is the list of columns you want to group by.

name: String

This is the name of the query. This will be used to identify the query in the response.

time_range: Option<TimeRange>

This is the time range for the query.

operations: Vec<AnalyticsOperation>

This is the list of operations you want to perform.

Implementations

impl AnalyticsQuery

pub fn new( table: TableTrue, name: String, operations: Vec<AnalyticsOperation>, ) -> AnalyticsQuery

Trait Implementations

impl Clone for AnalyticsQuery

fn clone(&self) -> AnalyticsQuery

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AnalyticsQuery

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

Formats the value using the given formatter.

impl Default for AnalyticsQuery

fn default() -> AnalyticsQuery

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for AnalyticsQuery

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for AnalyticsQuery

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

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 AnalyticsQuery