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// Licensed to the Apache Software Foundation (ASF) under one
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// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
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// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
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// under the License.
//! Accumulator module contains the trait definition for aggregation function's accumulators.
use arrow::array::ArrayRef;
use datafusion_common::{Result, ScalarValue};
use std::fmt::Debug;
/// An accumulator represents a stateful object that lives throughout the evaluation of multiple rows and
/// generically accumulates values.
///
/// An accumulator knows how to:
/// * update its state from inputs via `update_batch`
/// * convert its internal state to a vector of scalar values
/// * update its state from multiple accumulators' states via `merge_batch`
/// * compute the final value from its internal state via `evaluate`
pub trait Accumulator: Send + Sync + Debug {
/// Returns the state of the accumulator at the end of the accumulation.
// in the case of an average on which we track `sum` and `n`, this function should return a vector
// of two values, sum and n.
fn state(&self) -> Result<Vec<ScalarValue>>;
/// updates the accumulator's state from a vector of arrays.
fn update_batch(&mut self, values: &[ArrayRef]) -> Result<()>;
/// updates the accumulator's state from a vector of states.
fn merge_batch(&mut self, states: &[ArrayRef]) -> Result<()>;
/// returns its value based on its current state.
fn evaluate(&self) -> Result<ScalarValue>;
}