Struct datafusion_expr::logical_plan::Join

pub struct Join {
    pub left: Arc<LogicalPlan>,
    pub right: Arc<LogicalPlan>,
    pub on: Vec<(Expr, Expr)>,
    pub filter: Option<Expr>,
    pub join_type: JoinType,
    pub join_constraint: JoinConstraint,
    pub schema: DFSchemaRef,
    pub null_equals_null: bool,
}

Join two logical plans on one or more join columns

Fields

left: Arc<LogicalPlan>

Left input

right: Arc<LogicalPlan>

Right input

on: Vec<(Expr, Expr)>

Equijoin clause expressed as pairs of (left, right) join expressions

filter: Option<Expr>

Filters applied during join (non-equi conditions)

join_type: JoinType

Join type

join_constraint: JoinConstraint

Join constraint

schema: DFSchemaRef

The output schema, containing fields from the left and right inputs

null_equals_null: bool

If null_equals_null is true, null == null else null != null

Implementations

impl Join

pub fn try_new_with_project_input( original: &LogicalPlan, left: Arc<LogicalPlan>, right: Arc<LogicalPlan>, column_on: (Vec<Column>, Vec<Column>), ) -> Result<Self>

Create Join with input which wrapped with projection, this method is used to help create physical join.

Trait Implementations

impl Clone for Join

fn clone(&self) -> Join

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Hash for Join

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

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 Join

fn eq(&self, other: &Join) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Eq for Join

impl StructuralPartialEq for Join