Struct BoundedWindowAggExec 

pub struct BoundedWindowAggExec {
    input: Arc<dyn ExecutionPlan>,
    window_expr: Vec<Arc<dyn WindowExpr>>,
    schema: SchemaRef,
    metrics: ExecutionPlanMetricsSet,
    pub input_order_mode: InputOrderMode,
    ordered_partition_by_indices: Vec<usize>,
    cache: PlanProperties,
    can_repartition: bool,
}

Window execution plan

Fields

input: Arc<dyn ExecutionPlan>

Input plan

window_expr: Vec<Arc<dyn WindowExpr>>

Window function expression

schema: SchemaRef

Schema after the window is run

metrics: ExecutionPlanMetricsSet

Execution metrics

input_order_mode: InputOrderMode

Describes how the input is ordered relative to the partition keys

ordered_partition_by_indices: Vec<usize>

Partition by indices that define ordering

cache: PlanProperties

Cache holding plan properties like equivalences, output partitioning etc.

can_repartition: bool

If can_rerepartition is false, partition_keys is always empty.

Implementations

impl BoundedWindowAggExec

pub fn try_new( window_expr: Vec<Arc<dyn WindowExpr>>, input: Arc<dyn ExecutionPlan>, input_order_mode: InputOrderMode, can_repartition: bool, ) -> Result<Self>

Create a new execution plan for window aggregates

pub fn window_expr(&self) -> &[Arc<dyn WindowExpr>]

Window expressions

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

Input plan

pub fn partition_by_sort_keys(&self) -> Result<Vec<PhysicalSortExpr>>

Return the output sort order of partition keys: For example OVER(PARTITION BY a, ORDER BY b) -> would give sorting of the column a

fn get_search_algo(&self) -> Result<Box<dyn PartitionSearcher>>

Initializes the appropriate PartitionSearcher implementation from the state.

fn compute_properties( input: &Arc<dyn ExecutionPlan>, schema: &SchemaRef, window_exprs: &[Arc<dyn WindowExpr>], ) -> Result<PlanProperties>

This function creates the cache object that stores the plan properties such as schema, equivalence properties, ordering, partitioning, etc.

pub fn partition_keys(&self) -> Vec<Arc<dyn PhysicalExpr>>

fn statistics_helper(&self, statistics: Statistics) -> Result<Statistics>

Trait Implementations

impl Clone for BoundedWindowAggExec

fn clone(&self) -> BoundedWindowAggExec

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for BoundedWindowAggExec

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

Formats the value using the given formatter.

impl DisplayAs for BoundedWindowAggExec

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 BoundedWindowAggExec

fn as_any(&self) -> &dyn Any

Return a reference to Any that can be used for downcasting

fn name(&self) -> &'static str

Short name for the ExecutionPlan, such as ‘DataSourceExec’.

fn properties(&self) -> &PlanProperties

Return properties of the output of the ExecutionPlan, such as output ordering(s), partitioning information etc.

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 required_input_ordering(&self) -> Vec<Option<OrderingRequirements>>

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

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 maintains_input_order(&self) -> Vec<bool>

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

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, in order

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

Begin execution of partition, returning a Stream of [RecordBatch]es.

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>

👎Deprecated since 48.0.0: Use partition_statistics method instead

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

fn partition_statistics(&self, partition: Option<usize>) -> Result<Statistics>

Returns statistics for a specific partition of this ExecutionPlan node. If statistics are not available, should return Statistics::new_unknown (the default), not an error. If partition is None, it returns statistics for the entire plan.

fn static_name() -> &'static str

where Self: Sized,

Short name for the ExecutionPlan, such as ‘DataSourceExec’. Like name but can be called without an instance.

fn schema(&self) -> SchemaRef

Get the schema for this execution plan

fn check_invariants(&self, check: InvariantLevel) -> Result<()>

Returns an error if this individual node does not conform to its invariants. These invariants are typically only checked in debug mode.

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

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

fn reset_state(self: Arc<Self>) -> Result<Arc<dyn ExecutionPlan>>

Reset any internal state within this ExecutionPlan.

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 supports_limit_pushdown(&self) -> bool

Returns true if a limit can be safely pushed down through this ExecutionPlan node.

fn with_fetch(&self, _limit: Option<usize>) -> Option<Arc<dyn ExecutionPlan>>

Returns a fetching variant of this ExecutionPlan node, if it supports fetch limits. Returns None otherwise.

fn fetch(&self) -> Option<usize>

Gets the fetch count for the operator, None means there is no fetch.

fn cardinality_effect(&self) -> CardinalityEffect

Gets the effect on cardinality, if known

fn try_swapping_with_projection( &self, _projection: &ProjectionExec, ) -> Result<Option<Arc<dyn ExecutionPlan>>>

Attempts to push down the given projection into the input of this ExecutionPlan.

fn gather_filters_for_pushdown( &self, _phase: FilterPushdownPhase, parent_filters: Vec<Arc<dyn PhysicalExpr>>, _config: &ConfigOptions, ) -> Result<FilterDescription>

Collect filters that this node can push down to its children. Filters that are being pushed down from parents are passed in, and the node may generate additional filters to push down. For example, given the plan FilterExec -> HashJoinExec -> DataSourceExec, what will happen is that we recurse down the plan calling ExecutionPlan::gather_filters_for_pushdown:

fn handle_child_pushdown_result( &self, _phase: FilterPushdownPhase, child_pushdown_result: ChildPushdownResult, _config: &ConfigOptions, ) -> Result<FilterPushdownPropagation<Arc<dyn ExecutionPlan>>>

Handle the result of a child pushdown. This method is called as we recurse back up the plan tree after pushing filters down to child nodes via ExecutionPlan::gather_filters_for_pushdown. It allows the current node to process the results of filter pushdown from its children, deciding whether to absorb filters, modify the plan, or pass filters back up to its parent.

fn with_new_state( &self, _state: Arc<dyn Any + Send + Sync>, ) -> Option<Arc<dyn ExecutionPlan>>

Injects arbitrary run-time state into this execution plan, returning a new plan instance that incorporates that state if it is relevant to the concrete node implementation.