Struct datafusion::physical_plan::repartition::RepartitionExec

pub struct RepartitionExec { /* private fields */ }

The repartition operator maps N input partitions to M output partitions based on a partitioning scheme. No guarantees are made about the order of the resulting partitions.

Implementations

impl RepartitionExec

pub fn input(&self) -> &Arc<dyn ExecutionPlan>

Input execution plan

pub fn partitioning(&self) -> &Partitioning

Partitioning scheme to use

impl RepartitionExec

pub fn try_new(
    input: Arc<dyn ExecutionPlan>,
    partitioning: Partitioning
) -> Result<Self>

Create a new RepartitionExec

Trait Implementations

impl Debug for RepartitionExec

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

Formats the value using the given formatter.

impl ExecutionPlan for RepartitionExec

fn as_any(&self) -> &dyn Any

Return a reference to Any that can be used for downcasting

fn schema(&self) -> SchemaRef

Get the schema for this execution plan

fn unbounded_output(&self, children: &[bool]) -> Result<bool>

Specifies whether this plan generates an infinite stream of records. If the plan does not support pipelining, but it its input(s) are infinite, returns an error to indicate this.

fn children(&self) -> Vec<Arc<dyn ExecutionPlan>>

Get a list of child execution plans that provide the input for this plan. The returned list will be empty for leaf nodes, will contain a single value for unary nodes, or two values for binary nodes (such as joins).

fn with_new_children(
    self: Arc<Self>,
    children: Vec<Arc<dyn ExecutionPlan>>
) -> Result<Arc<dyn ExecutionPlan>>

Returns a new plan where all children were replaced by new plans.

fn output_partitioning(&self) -> Partitioning

Specifies the output partitioning scheme of this plan

fn output_ordering(&self) -> Option<&[PhysicalSortExpr]>

If the output of this operator within each partition is sorted, returns Some(keys) with the description of how it was sorted.

fn maintains_input_order(&self) -> bool

Returns false if this operator’s implementation may reorder rows within or between partitions.

fn equivalence_properties(&self) -> EquivalenceProperties

Get the EquivalenceProperties within the plan

fn execute(
    &self,
    partition: usize,
    context: Arc<TaskContext>
) -> Result<SendableRecordBatchStream>

creates an iterator

fn metrics(&self) -> Option<MetricsSet>

Return a snapshot of the set of Metrics for this ExecutionPlan.

fn fmt_as(&self, t: DisplayFormatType, f: &mut Formatter<'_>) -> Result

Format this ExecutionPlan to f in the specified type.

fn statistics(&self) -> Statistics

Returns the global output statistics for this ExecutionPlan node.

fn required_input_distribution(&self) -> Vec<Distribution>

Specifies the data distribution requirements for all the children for this operator, By default it’s [Distribution::UnspecifiedDistribution] for each child,

fn required_input_ordering(&self) -> Vec<Option<&[PhysicalSortExpr]>>

Specifies the ordering requirements for all of the children For each child, it’s the local ordering requirement within each partition rather than the global ordering

fn benefits_from_input_partitioning(&self) -> bool

Returns true if this operator would benefit from partitioning its input (and thus from more parallelism). For operators that do very little work the overhead of extra parallelism may outweigh any benefits