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BroadcastExec

Struct BroadcastExec 

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pub struct BroadcastExec { /* private fields */ }
Expand description

ExecutionPlan that scales up partitions for network broadcasting.

This plan takes N input partitions and exposes N*M output partitions, where M is the number of consumer tasks. Each virtual partition i returns the cached result of input partition i % N.

This allows each consumer task to fetch a unique set of partition numbers, the virtual partitions, while all receiving the same data via the actual partitions. This structure maintains the invariant that each partition is executed exactly once by the framework.

Broadcast is used in a 1 to many context, like this:

┌────────────────────────┐      ┌────────────────────────┐                         ┌────────────────────────┐     ■
│  NetworkBroadcastExec  │      │  NetworkBroadcastExec  │           ...           │  NetworkBroadcastExec  │     │
│        (task 1)        │      │        (task 2)        │                         │        (task M)        │ Stage N+1
└┬─┬─────┬───┬───────────┘      └───────┬─┬─────┬────┬───┘                         └─────┬──────┬─────┬────┬┘     │
 │0│     │N-1│                          │N│     │2N-1│                                   │(M-1)N│     │MN-1│      │
 └▲┘ ... └▲──┘                          └▲┘ ... └──▲─┘                                   └───▲──┘ ... └──▲─┘      ■
  │       │     Populates                │         │                                         │           │
  │       └────Cache Index ───┐     Cache Hit   Cache Hit                    ┌──Cache Hit────┘           │
  │                N-1        │      Index 0    Index N-1                    │                           │
  └────Populates ─────┐       │          │         │                         │            ┌───Cache Hit──┘
     Cache Index 0    │       │          │         │                         │            │
                     ┌┴┐ ... ┌┴──┐      ┌┴┐ ... ┌──┴─┐        ...        ┌───┴──┐ ... ┌───┴┐                      ■
                     │0│     │N-1│      │N│     │2N-1│                   │(M-1)N│     │MN-1│                      │
                    ┌┴─┴─────┴───┴──────┴─┴─────┴────┴───────────────────┴──────┴─────┴────┴┐                     │
                    │                             BroadcastExec                             │                     │
                    │                     ┌───────────────────────────┐                     │                     │
                    │                     │        Batch Cache        │                     │                  Stage N
                    │                     │┌─────────┐     ┌─────────┐│                     │                     │
                    │                     ││ index 0 │ ... │index N-1││                     │                     │
                    │                     │└─────────┘     └─────────┘│                     │                     │
                    │                     └───────────────────────────┘                     │                     │
                    └───────────────────────────┬─┬──────────┬───┬──────────────────────────┘                     ■
                                                │0│          │N-1│
                                                └▲┘    ...   └─▲─┘
                                                 │             │
                                              ┌──┘             └──┐
                                              │                   │                                               ■
                                             ┌┴┐       ...     ┌──┴┐                                              │
                                             │0│               │N-1│                                          Stage N-1
                                            ┌┴─┴───────────────┴───┴┐                                             │
                                            │Arc<dyn ExecutionPlan> │                                             │
                                            └───────────────────────┘                                             ■

Notice that the first consumer task, [NetworkBroadcastExec] task 1, triggers the execution of the operator below the [BroadCastExec] and populates each cache index with the respective partition. Subsequent consumer tasks, rather than executing the same partitions, read the data from the cache for each partition.

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impl BroadcastExec

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pub fn new(input: Arc<dyn ExecutionPlan>, consumer_task_count: usize) -> Self

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pub fn input_partition_count(&self) -> usize

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pub fn consumer_task_count(&self) -> usize

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impl Debug for BroadcastExec

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

Formats the value using the given formatter. Read more
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impl DisplayAs for BroadcastExec

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

Format according to DisplayFormatType, used when verbose representation looks different from the default one Read more
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impl ExecutionPlan for BroadcastExec

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fn name(&self) -> &str

Short name for the ExecutionPlan, such as ‘DataSourceExec’. Read more
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fn as_any(&self) -> &dyn Any

Returns the execution plan as Any so that it can be downcast to a specific implementation.
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fn properties(&self) -> &Arc<PlanProperties>

Return properties of the output of the ExecutionPlan, such as output ordering(s), partitioning information etc. Read more
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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).
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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
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fn execute( &self, partition: usize, context: Arc<TaskContext>, ) -> Result<SendableRecordBatchStream>

Begin execution of partition, returning a Stream of RecordBatches. Read more
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fn schema(&self) -> SchemaRef

Get the schema for this execution plan
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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.
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fn check_invariants(&self, check: InvariantLevel) -> Result<(), DataFusionError>

Returns an error if this individual node does not conform to its invariants. These invariants are typically only checked in debug mode. Read more
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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,
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fn required_input_ordering(&self) -> Vec<Option<OrderingRequirements>>

Specifies the ordering required for all of the children of this ExecutionPlan. Read more
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fn maintains_input_order(&self) -> Vec<bool>

Returns false if this ExecutionPlan’s implementation may reorder rows within or between partitions. Read more
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fn benefits_from_input_partitioning(&self) -> Vec<bool>

Specifies whether the ExecutionPlan benefits from increased parallelization at its input for each child. Read more
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fn reset_state( self: Arc<Self>, ) -> Result<Arc<dyn ExecutionPlan>, DataFusionError>

Reset any internal state within this ExecutionPlan. Read more
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fn repartitioned( &self, _target_partitions: usize, _config: &ConfigOptions, ) -> Result<Option<Arc<dyn ExecutionPlan>>, DataFusionError>

If supported, attempt to increase the partitioning of this ExecutionPlan to produce target_partitions partitions. Read more
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fn metrics(&self) -> Option<MetricsSet>

Return a snapshot of the set of Metrics for this ExecutionPlan. If no Metrics are available, return None. Read more
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fn partition_statistics( &self, partition: Option<usize>, ) -> Result<Statistics, DataFusionError>

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.
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fn supports_limit_pushdown(&self) -> bool

Returns true if a limit can be safely pushed down through this ExecutionPlan node. Read more
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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.
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fn fetch(&self) -> Option<usize>

Gets the fetch count for the operator, None means there is no fetch.
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fn cardinality_effect(&self) -> CardinalityEffect

Gets the effect on cardinality, if known
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fn try_swapping_with_projection( &self, _projection: &ProjectionExec, ) -> Result<Option<Arc<dyn ExecutionPlan>>, DataFusionError>

Attempts to push down the given projection into the input of this ExecutionPlan. Read more
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fn gather_filters_for_pushdown( &self, _phase: FilterPushdownPhase, parent_filters: Vec<Arc<dyn PhysicalExpr>>, _config: &ConfigOptions, ) -> Result<FilterDescription, DataFusionError>

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

Handle the result of a child pushdown. Read more
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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. Read more
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fn try_pushdown_sort( &self, _order: &[PhysicalSortExpr], ) -> Result<SortOrderPushdownResult<Arc<dyn ExecutionPlan>>, DataFusionError>

Try to push down sort ordering requirements to this node. Read more
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fn with_preserve_order( &self, _preserve_order: bool, ) -> Option<Arc<dyn ExecutionPlan>>

Returns a variant of this ExecutionPlan that is aware of order-sensitivity. Read more

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