Enum datafusion_python::datafusion_expr::Distinct

pub enum Distinct {
    All(Arc<LogicalPlan>),
    On(DistinctOn),
}

Removes duplicate rows from the input

Variants

All(Arc<LogicalPlan>)

Plain DISTINCT referencing all selection expressions

On(DistinctOn)

The Postgres addition, allowing separate control over DISTINCT’d and selected columns

Implementations

impl Distinct

pub fn input(&self) -> &Arc<LogicalPlan>

return a reference to the nodes input

Trait Implementations

impl Clone for Distinct

fn clone(&self) -> Distinct

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Distinct

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

Formats the value using the given formatter.

impl From<Distinct> for PyDistinct

fn from(distinct: Distinct) -> PyDistinct

Converts to this type from the input type.

impl From<PyDistinct> for Distinct

fn from(distinct: PyDistinct) -> Self

Converts to this type from the input type.

impl Hash for Distinct

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 Distinct

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

impl StructuralPartialEq for Distinct