Struct datafusion::physical_plan::windows::WindowAggExec
source · pub struct WindowAggExec {
pub partition_keys: Vec<Arc<dyn PhysicalExpr>>,
/* private fields */
}
Expand description
Window execution plan
Fields§
§partition_keys: Vec<Arc<dyn PhysicalExpr>>
Partition Keys
Implementations§
source§impl WindowAggExec
impl WindowAggExec
sourcepub fn try_new(
window_expr: Vec<Arc<dyn WindowExpr>>,
input: Arc<dyn ExecutionPlan>,
input_schema: SchemaRef,
partition_keys: Vec<Arc<dyn PhysicalExpr>>
) -> Result<Self>
pub fn try_new( window_expr: Vec<Arc<dyn WindowExpr>>, input: Arc<dyn ExecutionPlan>, input_schema: SchemaRef, partition_keys: Vec<Arc<dyn PhysicalExpr>> ) -> Result<Self>
Create a new execution plan for window aggregates
sourcepub fn window_expr(&self) -> &[Arc<dyn WindowExpr>]
pub fn window_expr(&self) -> &[Arc<dyn WindowExpr>]
Window expressions
sourcepub fn input(&self) -> &Arc<dyn ExecutionPlan>
pub fn input(&self) -> &Arc<dyn ExecutionPlan>
Input plan
sourcepub fn input_schema(&self) -> SchemaRef
pub fn input_schema(&self) -> SchemaRef
Get the input schema before any window functions are applied
sourcepub fn partition_by_sort_keys(&self) -> Result<Vec<PhysicalSortExpr>>
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
Trait Implementations§
source§impl Debug for WindowAggExec
impl Debug for WindowAggExec
source§impl ExecutionPlan for WindowAggExec
impl ExecutionPlan for WindowAggExec
source§fn output_partitioning(&self) -> Partitioning
fn output_partitioning(&self) -> Partitioning
Get the output partitioning of this plan
source§fn unbounded_output(&self, children: &[bool]) -> Result<bool>
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.
source§fn ordering_equivalence_properties(&self) -> OrderingEquivalenceProperties
fn ordering_equivalence_properties(&self) -> OrderingEquivalenceProperties
Get the OrderingEquivalenceProperties within the plan
source§fn children(&self) -> Vec<Arc<dyn ExecutionPlan>>
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).
source§fn output_ordering(&self) -> Option<&[PhysicalSortExpr]>
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. Read moresource§fn maintains_input_order(&self) -> Vec<bool>
fn maintains_input_order(&self) -> Vec<bool>
Returns
false
if this operator’s implementation may reorder
rows within or between partitions. Read moresource§fn required_input_ordering(&self) -> Vec<Option<Vec<PhysicalSortRequirement>>>
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 Read more
source§fn required_input_distribution(&self) -> Vec<Distribution>
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,
source§fn equivalence_properties(&self) -> EquivalenceProperties
fn equivalence_properties(&self) -> EquivalenceProperties
Get the EquivalenceProperties within the plan
source§fn with_new_children(
self: Arc<Self>,
children: Vec<Arc<dyn ExecutionPlan>>
) -> Result<Arc<dyn ExecutionPlan>>
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.
source§fn execute(
&self,
partition: usize,
context: Arc<TaskContext>
) -> Result<SendableRecordBatchStream>
fn execute( &self, partition: usize, context: Arc<TaskContext> ) -> Result<SendableRecordBatchStream>
creates an iterator
source§fn metrics(&self) -> Option<MetricsSet>
fn metrics(&self) -> Option<MetricsSet>
source§fn statistics(&self) -> Statistics
fn statistics(&self) -> Statistics
Returns the global output statistics for this
ExecutionPlan
node.source§fn benefits_from_input_partitioning(&self) -> bool
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 Read moreAuto Trait Implementations§
impl !RefUnwindSafe for WindowAggExec
impl Send for WindowAggExec
impl Sync for WindowAggExec
impl Unpin for WindowAggExec
impl !UnwindSafe for WindowAggExec
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more