Struct datafusion::physical_plan::aggregates::AggregateExec
source · [−]pub struct AggregateExec { /* private fields */ }
Expand description
Hash aggregate execution plan
Implementations
sourceimpl AggregateExec
impl AggregateExec
sourcepub fn try_new(
mode: AggregateMode,
group_by: PhysicalGroupBy,
aggr_expr: Vec<Arc<dyn AggregateExpr>>,
input: Arc<dyn ExecutionPlan>,
input_schema: SchemaRef
) -> Result<Self>
pub fn try_new(
mode: AggregateMode,
group_by: PhysicalGroupBy,
aggr_expr: Vec<Arc<dyn AggregateExpr>>,
input: Arc<dyn ExecutionPlan>,
input_schema: SchemaRef
) -> Result<Self>
Create a new hash aggregate execution plan
sourcepub fn mode(&self) -> &AggregateMode
pub fn mode(&self) -> &AggregateMode
Aggregation mode (full, partial)
sourcepub fn group_expr(&self) -> &PhysicalGroupBy
pub fn group_expr(&self) -> &PhysicalGroupBy
Grouping expressions
sourcepub fn output_group_expr(&self) -> Vec<Arc<dyn PhysicalExpr>>ⓘNotable traits for Vec<u8, A>impl<A> Write for Vec<u8, A>where
A: Allocator,
pub fn output_group_expr(&self) -> Vec<Arc<dyn PhysicalExpr>>ⓘNotable traits for Vec<u8, A>impl<A> Write for Vec<u8, A>where
A: Allocator,
A: Allocator,
Grouping expressions as they occur in the output schema
sourcepub fn aggr_expr(&self) -> &[Arc<dyn AggregateExpr>]
pub fn aggr_expr(&self) -> &[Arc<dyn AggregateExpr>]
Aggregate 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 aggregates are applied
Trait Implementations
sourceimpl Debug for AggregateExec
impl Debug for AggregateExec
sourceimpl ExecutionPlan for AggregateExec
impl ExecutionPlan for AggregateExec
sourcefn output_partitioning(&self) -> Partitioning
fn output_partitioning(&self) -> Partitioning
Get the output partitioning of this plan
sourcefn output_ordering(&self) -> Option<&[PhysicalSortExpr]>
fn output_ordering(&self) -> Option<&[PhysicalSortExpr]>
If the output of this operator is sorted, returns
Some(keys)
with the description of how it was sorted. Read moresourcefn required_child_distribution(&self) -> Distribution
fn required_child_distribution(&self) -> Distribution
Specifies the data distribution requirements of all the
children for this operator Read more
sourcefn relies_on_input_order(&self) -> bool
fn relies_on_input_order(&self) -> bool
Returns
true
if this operator relies on its inputs being
produced in a certain order (for example that they are sorted
a particular way) for correctness. Read moresourcefn children(&self) -> Vec<Arc<dyn ExecutionPlan>>ⓘNotable traits for Vec<u8, A>impl<A> Write for Vec<u8, A>where
A: Allocator,
fn children(&self) -> Vec<Arc<dyn ExecutionPlan>>ⓘNotable traits for Vec<u8, A>impl<A> Write for Vec<u8, A>where
A: Allocator,
A: Allocator,
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). Read more
sourcefn 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.
sourcefn execute(
&self,
partition: usize,
context: Arc<TaskContext>
) -> Result<SendableRecordBatchStream>
fn execute(
&self,
partition: usize,
context: Arc<TaskContext>
) -> Result<SendableRecordBatchStream>
creates an iterator
sourcefn metrics(&self) -> Option<MetricsSet>
fn metrics(&self) -> Option<MetricsSet>
sourcefn fmt_as(&self, t: DisplayFormatType, f: &mut Formatter<'_>) -> Result
fn fmt_as(&self, t: DisplayFormatType, f: &mut Formatter<'_>) -> Result
sourcefn statistics(&self) -> Statistics
fn statistics(&self) -> Statistics
Returns the global output statistics for this
ExecutionPlan
node.sourcefn maintains_input_order(&self) -> bool
fn maintains_input_order(&self) -> bool
Returns
false
if this operator’s implementation may reorder
rows within or between partitions. Read moresourcefn 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 AggregateExec
impl Send for AggregateExec
impl Sync for AggregateExec
impl Unpin for AggregateExec
impl !UnwindSafe for AggregateExec
Blanket Implementations
sourceimpl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more