Trait DataSource 

pub trait DataSource:
    Any
    + Send
    + Sync
    + Debug {
    // Required methods
    fn open(
        &self,
        partition: usize,
        context: Arc<TaskContext>,
    ) -> Result<SendableRecordBatchStream>;
    fn fmt_as(&self, t: DisplayFormatType, f: &mut Formatter<'_>) -> Result;
    fn output_partitioning(&self) -> Partitioning;
    fn eq_properties(&self) -> EquivalenceProperties;
    fn partition_statistics(
        &self,
        partition: Option<usize>,
    ) -> Result<Arc<Statistics>>;
    fn with_fetch(&self, _limit: Option<usize>) -> Option<Arc<dyn DataSource>>;
    fn fetch(&self) -> Option<usize>;
    fn try_swapping_with_projection(
        &self,
        _projection: &ProjectionExprs,
    ) -> Result<Option<Arc<dyn DataSource>>>;

    // Provided methods
    fn repartitioned(
        &self,
        _target_partitions: usize,
        _repartition_file_min_size: usize,
        _output_ordering: Option<LexOrdering>,
    ) -> Result<Option<Arc<dyn DataSource>>> { ... }
    fn scheduling_type(&self) -> SchedulingType { ... }
    fn metrics(&self) -> ExecutionPlanMetricsSet { ... }
    fn try_pushdown_filters(
        &self,
        filters: Vec<Arc<dyn PhysicalExpr>>,
        _config: &ConfigOptions,
    ) -> Result<FilterPushdownPropagation<Arc<dyn DataSource>>> { ... }
    fn try_pushdown_sort(
        &self,
        _order: &[PhysicalSortExpr],
    ) -> Result<SortOrderPushdownResult<Arc<dyn DataSource>>> { ... }
    fn with_preserve_order(
        &self,
        _preserve_order: bool,
    ) -> Option<Arc<dyn DataSource>> { ... }
    fn with_new_state(
        &self,
        _state: Arc<dyn Any + Send + Sync>,
    ) -> Option<Arc<dyn DataSource>> { ... }
    fn create_sibling_state(&self) -> Option<Arc<dyn Any + Send + Sync>> { ... }
    fn open_with_args(
        &self,
        args: OpenArgs,
    ) -> Result<SendableRecordBatchStream> { ... }
}

A source of data, typically a list of files or memory

This trait provides common behaviors for abstract sources of data. It has two common implementations:

1. FileScanConfig: lists of files
2. MemorySourceConfig: in memory list of RecordBatch

File format specific behaviors are defined by FileSource

See Also

• FileSource for file format specific implementations (Parquet, Json, etc)
• DataSourceExec: The ExecutionPlan that reads from a DataSource

Notes

Requires Debug to assist debugging

The following diagram shows how DataSource, FileSource, and DataSourceExec are related

                      ┌─────────────────────┐                              -----► execute path
                      │                     │                              ┄┄┄┄┄► init path
                      │   DataSourceExec    │
                      │                     │
                      └───────▲─────────────┘
                              ┊  │
                              ┊  │
                      ┌──────────▼──────────┐                            ┌──────────-──────────┐
                      │                     │                            |                     |
                      │  DataSource(trait)  │                            | TableProvider(trait)|
                      │                     │                            |                     |
                      └───────▲─────────────┘                            └─────────────────────┘
                              ┊  │                                                  ┊
              ┌───────────────┿──┴────────────────┐                                 ┊
              |   ┌┄┄┄┄┄┄┄┄┄┄┄┘                   |                                 ┊
              |   ┊                               |                                 ┊
   ┌──────────▼──────────┐             ┌──────────▼──────────┐                      ┊
   │                     │             │                     │           ┌──────────▼──────────┐
   │   FileScanConfig    │             │ MemorySourceConfig  │           |                     |
   │                     │             │                     │           |  FileFormat(trait)  |
   └──────────────▲──────┘             └─────────────────────┘           |                     |
              │   ┊                                                      └─────────────────────┘
              │   ┊                                                                 ┊
              │   ┊                                                                 ┊
   ┌──────────▼──────────┐                                               ┌──────────▼──────────┐
   │                     │                                               │     ArrowSource     │
   │ FileSource(trait)   ◄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄│          ...        │
   │                     │                                               │    ParquetSource    │
   └─────────────────────┘                                               └─────────────────────┘
              │
              │
              │
              │
   ┌──────────▼──────────┐
   │     ArrowSource     │
   │          ...        │
   │    ParquetSource    │
   └─────────────────────┘
              |
FileOpener (called by FileStream)
              │
   ┌──────────▼──────────┐
   │                     │
   │     RecordBatch     │
   │                     │
   └─────────────────────┘

Required Methods

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

Open the specified output partition and return its stream of RecordBatches.

This should be used by data sources that do not need any sibling coordination. Data sources that want to use per-execution shared state (for example, to reorder work across partitions at runtime) should implement Self::open_with_args instead.

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

Format this source for display in explain plans

fn output_partitioning(&self) -> Partitioning

fn eq_properties(&self) -> EquivalenceProperties

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

Returns statistics for a specific partition, or aggregate statistics across all partitions if partition is None.

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

Return a copy of this DataSource with a new fetch limit

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

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

Provided Methods

fn repartitioned( &self, _target_partitions: usize, _repartition_file_min_size: usize, _output_ordering: Option<LexOrdering>, ) -> Result<Option<Arc<dyn DataSource>>>

Return a copy of this DataSource with a new partitioning scheme.

Returns Ok(None) (the default) if the partitioning cannot be changed. Refer to ExecutionPlan::repartitioned for details on when None should be returned.

Repartitioning should not change the output ordering, if this ordering exists. Refer to MemorySourceConfig::repartition_preserving_order and the FileSource’s FileGroupPartitioner::repartition_file_groups for examples.

fn scheduling_type(&self) -> SchedulingType

fn metrics(&self) -> ExecutionPlanMetricsSet

fn try_pushdown_filters( &self, filters: Vec<Arc<dyn PhysicalExpr>>, _config: &ConfigOptions, ) -> Result<FilterPushdownPropagation<Arc<dyn DataSource>>>

Try to push down filters into this DataSource.

These filters are in terms of the output schema of this DataSource (e.g. Self::eq_properties and output of any projections pushed into the source), not the original table schema.

See ExecutionPlan::handle_child_pushdown_result for more details.

fn try_pushdown_sort( &self, _order: &[PhysicalSortExpr], ) -> Result<SortOrderPushdownResult<Arc<dyn DataSource>>>

Try to create a new DataSource that produces data in the specified sort order.

Arguments

• order - The desired output ordering

Returns

• Ok(SortOrderPushdownResult::Exact { .. }) - Created a source that guarantees exact ordering
• Ok(SortOrderPushdownResult::Inexact { .. }) - Created a source optimized for the ordering
• Ok(SortOrderPushdownResult::Unsupported) - Cannot optimize for this ordering
• Err(e) - Error occurred

Default implementation returns Unsupported.

fn with_preserve_order( &self, _preserve_order: bool, ) -> Option<Arc<dyn DataSource>>

Returns a variant of this DataSource that is aware of order-sensitivity.

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

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

This is a generic entry point: the state can be any type wrapped in Arc<dyn Any + Send + Sync>. A data source that cares about the state should down-cast it to the concrete type it expects and, if successful, return a modified copy of itself that captures the provided value. If the state is not applicable, the default behaviour is to return None so that parent nodes can continue propagating the attempt further down the plan tree.

fn create_sibling_state(&self) -> Option<Arc<dyn Any + Send + Sync>>

Create per execution state to share across sibling instances of this data source during one execution.

Returns None (the default) if this data source has no sibling-shared execution state.

fn open_with_args(&self, args: OpenArgs) -> Result<SendableRecordBatchStream>

Open a partition using optional sibling-shared execution state.

The default implementation ignores the additional state and delegates to Self::open.

Implementations

impl dyn DataSource

pub fn is<T: DataSource>(&self) -> bool

pub fn downcast_ref<T: DataSource>(&self) -> Option<&T>

Dyn Compatibility

This trait is dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety".

Implementors

impl DataSource for FileScanConfig

impl DataSource for MemorySourceConfig