Struct datafusion::physical_plan::sort_merge_join::SortMergeJoinExec

pub struct SortMergeJoinExec { /* private fields */ }

join execution plan executes partitions in parallel and combines them into a set of partitions.

Implementations

impl SortMergeJoinExec

pub fn try_new(
    left: Arc<dyn ExecutionPlan>,
    right: Arc<dyn ExecutionPlan>,
    on: JoinOn,
    join_type: JoinType,
    sort_options: Vec<SortOptions>,
    null_equals_null: bool
) -> Result<Self>

Tries to create a new SortMergeJoinExec. The inputs are sorted using sort_options are applied to the columns in the on

Error

This function errors when it is not possible to join the left and right sides on keys on.

Trait Implementations

impl Debug for SortMergeJoinExec

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

Formats the value using the given formatter.

impl ExecutionPlan for SortMergeJoinExec

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 output_ordering(&self) -> Option<&[PhysicalSortExpr]>

If the output of this operator is sorted, returns Some(keys) with the description of how it was sorted.

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.

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>,
    children: 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 metrics(&self) -> Option<MetricsSet>

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

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

Format this ExecutionPlan to f in the specified type.

fn statistics(&self) -> Statistics

Returns the global output statistics for this ExecutionPlan node.

fn required_child_distribution(&self) -> Distribution

Specifies the data distribution requirements of all the children for this operator

fn maintains_input_order(&self) -> bool

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

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