Struct datafusion_expr::logical_plan::Filter

#[non_exhaustive]
pub struct Filter {
    pub predicate: Expr,
    pub input: Arc<LogicalPlan>,
}

Filters rows from its input that do not match an expression (essentially a WHERE clause with a predicate expression).

Semantically, <predicate> is evaluated for each row of the input; If the value of <predicate> is true, the input row is passed to the output. If the value of <predicate> is false, the row is discarded.

Filter should not be created directly but instead use try_new() and that these fields are only pub to support pattern matching

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

predicate: Expr

The predicate expression, which must have Boolean type.

input: Arc<LogicalPlan>

The incoming logical plan

Implementations

impl Filter

pub fn try_new(predicate: Expr, input: Arc<LogicalPlan>) -> Result<Self>

Create a new filter operator.

Trait Implementations

impl Clone for Filter

fn clone(&self) -> Filter

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Hash for Filter

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<Filter> for Filter

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

impl StructuralEq for Filter

impl StructuralPartialEq for Filter