Struct datafusion_python::datafusion_expr::Explain

pub struct Explain {
    pub verbose: bool,
    pub plan: Arc<LogicalPlan>,
    pub stringified_plans: Vec<StringifiedPlan>,
    pub schema: Arc<DFSchema>,
    pub logical_optimization_succeeded: bool,
}

Produces a relation with string representations of various parts of the plan

Fields

verbose: bool

Should extra (detailed, intermediate plans) be included?

plan: Arc<LogicalPlan>

The logical plan that is being EXPLAIN’d

stringified_plans: Vec<StringifiedPlan>

Represent the various stages plans have gone through

schema: Arc<DFSchema>

The output schema of the explain (2 columns of text)

logical_optimization_succeeded: bool

Used by physical planner to check if should proceed with planning

Trait Implementations

impl Clone for Explain

fn clone(&self) -> Explain

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Explain

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

Formats the value using the given formatter.

impl From<Explain> for PyExplain

fn from(explain: Explain) -> PyExplain

Converts to this type from the input type.

impl From<PyExplain> for Explain

fn from(explain: PyExplain) -> Self

Converts to this type from the input type.

impl Hash for Explain

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 Explain

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

impl StructuralPartialEq for Explain