Enum datafusion_python::datafusion_expr::GroupingSet

pub enum GroupingSet {
    Rollup(Vec<Expr>),
    Cube(Vec<Expr>),
    GroupingSets(Vec<Vec<Expr>>),
}

Grouping sets

See https://www.postgresql.org/docs/current/queries-table-expressions.html#QUERIES-GROUPING-SETS for Postgres definition. See https://spark.apache.org/docs/latest/sql-ref-syntax-qry-select-groupby.html for Apache Spark definition.

Variants

Rollup(Vec<Expr>)

Rollup grouping sets

Cube(Vec<Expr>)

Cube grouping sets

GroupingSets(Vec<Vec<Expr>>)

User-defined grouping sets

Implementations

impl GroupingSet

pub fn distinct_expr(&self) -> Vec<&Expr>

Return all distinct exprs in the grouping set. For CUBE and ROLLUP this is just the underlying list of exprs. For GROUPING SET we need to deduplicate the exprs in the underlying sets.

Trait Implementations

impl Clone for GroupingSet

fn clone(&self) -> GroupingSet

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for GroupingSet

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

Formats the value using the given formatter.

impl From<GroupingSet> for PyGroupingSet

fn from(grouping_set: GroupingSet) -> PyGroupingSet

Converts to this type from the input type.

impl From<PyGroupingSet> for GroupingSet

fn from(grouping_set: PyGroupingSet) -> Self

Converts to this type from the input type.

impl Hash for GroupingSet

fn hash<__H>(&self, state: &mut __H)

where __H: Hasher,

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl PartialEq for GroupingSet

fn eq(&self, other: &GroupingSet) -> 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 Eq for GroupingSet

impl StructuralPartialEq for GroupingSet