struct PartSortStream {Show 15 fields
reservation: MemoryReservation,
buffer: PartSortBuffer,
expression: PhysicalSortExpr,
limit: Option<usize>,
produced: usize,
input: DfSendableRecordBatchStream,
input_complete: bool,
schema: SchemaRef,
partition_ranges: Vec<PartitionRange>,
partition: usize,
cur_part_idx: usize,
evaluating_batch: Option<DfRecordBatch>,
metrics: BaselineMetrics,
context: Arc<TaskContext>,
root_metrics: ExecutionPlanMetricsSet,
}Fields§
§reservation: MemoryReservationMemory pool for this stream
buffer: PartSortBuffer§expression: PhysicalSortExpr§limit: Option<usize>§produced: usize§input: DfSendableRecordBatchStream§input_complete: bool§schema: SchemaRef§partition_ranges: Vec<PartitionRange>§partition: usize§cur_part_idx: usize§evaluating_batch: Option<DfRecordBatch>§metrics: BaselineMetrics§context: Arc<TaskContext>§root_metrics: ExecutionPlanMetricsSetImplementations§
Source§impl PartSortStream
impl PartSortStream
Sourcefn check_in_range(
&self,
sort_column: &ArrayRef,
min_max_idx: (usize, usize),
) -> Result<()>
fn check_in_range( &self, sort_column: &ArrayRef, min_max_idx: (usize, usize), ) -> Result<()>
check whether the sort column’s min/max value is within the partition range
Sourcefn try_find_next_range(&self, sort_column: &ArrayRef) -> Result<Option<usize>>
fn try_find_next_range(&self, sort_column: &ArrayRef) -> Result<Option<usize>>
Try find data whose value exceeds the current partition range.
Returns None if no such data is found, and Some(idx) where idx points to
the first data that exceeds the current partition range.
fn push_buffer(&mut self, batch: DfRecordBatch) -> Result<()>
Sourcefn sort_buffer(&mut self) -> Result<DfRecordBatch>
fn sort_buffer(&mut self) -> Result<DfRecordBatch>
Sort and clear the buffer and return the sorted record batch
this function will return a empty record batch if the buffer is empty
Sourcefn sort_all_buffer(&mut self) -> Result<DfRecordBatch>
fn sort_all_buffer(&mut self) -> Result<DfRecordBatch>
Internal method for sorting All buffer (without limit).
Sourcefn sort_top_buffer(&mut self) -> Result<DfRecordBatch>
fn sort_top_buffer(&mut self) -> Result<DfRecordBatch>
Internal method for sorting Top buffer (with limit).
Sourcefn split_batch(&mut self, batch: DfRecordBatch) -> Result<Option<DfRecordBatch>>
fn split_batch(&mut self, batch: DfRecordBatch) -> Result<Option<DfRecordBatch>>
Try to split the input batch if it contains data that exceeds the current partition range.
When the input batch contains data that exceeds the current partition range, this function
will split the input batch into two parts, the first part is within the current partition
range will be merged and sorted with previous buffer, and the second part will be registered
to evaluating_batch for next polling.
Returns None if the input batch is empty or fully within the current partition range, and
Some(batch) otherwise.
pub fn poll_next_inner( self: Pin<&mut Self>, cx: &mut Context<'_>, ) -> Poll<Option<Result<DfRecordBatch>>>
Trait Implementations§
Source§impl RecordBatchStream for PartSortStream
impl RecordBatchStream for PartSortStream
Source§impl Stream for PartSortStream
impl Stream for PartSortStream
Auto Trait Implementations§
impl Freeze for PartSortStream
impl !RefUnwindSafe for PartSortStream
impl Send for PartSortStream
impl !Sync for PartSortStream
impl Unpin for PartSortStream
impl !UnwindSafe for PartSortStream
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§fn boxed<'a>(self) -> Pin<Box<dyn Stream<Item = Self::Item> + Send + 'a>>
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§fn boxed_local<'a>(self) -> Pin<Box<dyn Stream<Item = Self::Item> + 'a>>where
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§fn zip<St>(self, other: St) -> Zip<Self, St>where
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§fn try_flatten_unordered(
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§fn try_concat(self) -> TryConcat<Self>
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§fn try_buffer_unordered(self, n: usize) -> TryBufferUnordered<Self>where
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§fn try_poll_next_unpin(
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