Struct SlidingDistinctSumAccumulator 

pub struct SlidingDistinctSumAccumulator {
    counts: HashMap<i64, usize, RandomState>,
    sum: i64,
    data_type: DataType,
}

A sliding‐window accumulator for SUM(DISTINCT) over Int64 columns. Maintains a running sum so that evaluate() is O(1).

Fields

counts: HashMap<i64, usize, RandomState>

sum: i64

data_type: DataType

Implementations

impl SlidingDistinctSumAccumulator

pub fn try_new( data_type: &DataType, ) -> Result<SlidingDistinctSumAccumulator, DataFusionError>

Create a new accumulator; only DataType::Int64 is supported.

Trait Implementations

impl Accumulator for SlidingDistinctSumAccumulator

fn update_batch( &mut self, values: &[Arc<dyn Array>], ) -> Result<(), DataFusionError>

Updates the accumulator’s state from its input.

fn evaluate(&mut self) -> Result<ScalarValue, DataFusionError>

Returns the final aggregate value, consuming the internal state.

fn size(&self) -> usize

Returns the allocated size required for this accumulator, in bytes, including Self.

fn state(&mut self) -> Result<Vec<ScalarValue>, DataFusionError>

Returns the intermediate state of the accumulator, consuming the intermediate state.

fn merge_batch( &mut self, states: &[Arc<dyn Array>], ) -> Result<(), DataFusionError>

Updates the accumulator’s state from an Array containing one or more intermediate values.

fn retract_batch( &mut self, values: &[Arc<dyn Array>], ) -> Result<(), DataFusionError>

Retracts (removed) an update (caused by the given inputs) to accumulator’s state.

fn supports_retract_batch(&self) -> bool

Does the accumulator support incrementally updating its value by removing values.

impl Debug for SlidingDistinctSumAccumulator

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

Formats the value using the given formatter.