Struct datafusion_physical_plan::streaming::StreamingTableExec

pub struct StreamingTableExec { /* private fields */ }

An ExecutionPlan for one or more PartitionStreams.

If your source can be represented as one or more PartitionStreams, you can use this struct to implement ExecutionPlan.

Implementations

impl StreamingTableExec

pub fn try_new( schema: SchemaRef, partitions: Vec<Arc<dyn PartitionStream>>, projection: Option<&Vec<usize>>, projected_output_ordering: impl IntoIterator<Item = LexOrdering>, infinite: bool ) -> Result<Self>

Try to create a new StreamingTableExec returning an error if the schema is incorrect

pub fn partitions(&self) -> &Vec<Arc<dyn PartitionStream>>

pub fn partition_schema(&self) -> &SchemaRef

pub fn projection(&self) -> &Option<Arc<[usize]>>

pub fn projected_schema(&self) -> &Schema

pub fn projected_output_ordering(&self) -> impl IntoIterator<Item = LexOrdering>

pub fn is_infinite(&self) -> bool

Trait Implementations

impl Debug for StreamingTableExec

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

Formats the value using the given formatter.

impl DisplayAs for StreamingTableExec

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 StreamingTableExec

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 how the output of this ExecutionPlan is split into partitions.

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 ExecutionPlan within each partition is sorted, returns Some(keys) with the description of how it was sorted.

fn equivalence_properties(&self) -> EquivalenceProperties

Get the EquivalenceProperties within the plan.

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

Get a list of children ExecutionPlans that act as inputs to this plan. The returned list will be empty for leaf nodes such as scans, 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 ExecutionPlan where all existing children were replaced by the children, oi order

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

Begin execution of partition, returning a Stream of RecordBatches.

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

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

fn required_input_ordering(&self) -> Vec<Option<Vec<PhysicalSortRequirement>>>

Specifies the ordering required for all of the children of this ExecutionPlan.

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

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

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

Specifies whether the ExecutionPlan benefits from increased parallelization at its input for each child.

fn repartitioned( &self, _target_partitions: usize, _config: &ConfigOptions ) -> Result<Option<Arc<dyn ExecutionPlan>>>

If supported, attempt to increase the partitioning of this ExecutionPlan to produce target_partitions partitions.

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

Return a snapshot of the set of Metrics for this ExecutionPlan. If no Metrics are available, return None.

fn statistics(&self) -> Result<Statistics>

Returns statistics for this ExecutionPlan node. If statistics are not available, should return Statistics::new_unknown (the default), not an error.