Struct datafusion::test_util::UnboundedExec

pub struct UnboundedExec { /* private fields */ }

A mock execution plan that simply returns the provided data source characteristic

Implementations

impl UnboundedExec

pub fn new( batch_produce: Option<usize>, batch: RecordBatch, partitions: usize ) -> Self

Create new exec that clones the given record batch to its output.

Set batch_produce to Some(n) to emit exactly n batches per partition.

Trait Implementations

impl Clone for UnboundedExec

fn clone(&self) -> UnboundedExec

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for UnboundedExec

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

Formats the value using the given formatter.

impl DisplayAs for UnboundedExec

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

Format according to DisplayFormatType, used when verbose representation looks different from the default one

impl ExecutionPlan for UnboundedExec

fn as_any(&self) -> &dyn Any

Returns the execution plan as Any so that it can be downcast to a specific implementation.

fn schema(&self) -> SchemaRef

Get the schema for this execution plan

fn output_partitioning(&self) -> Partitioning

Specifies the output partitioning scheme of this 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 its input(s) are infinite, returns an error to indicate this.

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 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>, _: Vec<Arc<dyn ExecutionPlan>> ) -> Result<Arc<dyn ExecutionPlan>>

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

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

creates an iterator

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<Vec<PhysicalSortRequirement>>>

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 maintains_input_order(&self) -> Vec<bool>

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

fn benefits_from_input_partitioning(&self) -> Vec<bool>

Specifies whether the operator benefits from increased parallelization at its input for each child. If set to true, this indicates that the operator would benefit from partitioning its corresponding child (and thus from more parallelism). For operators that do very little work the overhead of extra parallelism may outweigh any benefits

fn equivalence_properties(&self) -> EquivalenceProperties

Get the EquivalenceProperties within the plan

fn ordering_equivalence_properties(&self) -> OrderingEquivalenceProperties

Get the OrderingEquivalenceProperties within the plan

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

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

fn file_scan_config(&self) -> Option<&FileScanConfig>

Returns the FileScanConfig in case this is a data source scanning execution plan or None otherwise.