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// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// 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
//
// Unless required by applicable law or agreed to in writing,
// 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
// specific language governing permissions and limitations
// under the License.
//! Defines physical expression for `ntile` that can evaluated
//! at runtime during query execution
use crate::window::BuiltInWindowFunctionExpr;
use crate::PhysicalExpr;
use arrow::array::{ArrayRef, UInt64Array};
use arrow::datatypes::Field;
use arrow_schema::DataType;
use datafusion_common::Result;
use datafusion_expr::PartitionEvaluator;
use std::any::Any;
use std::sync::Arc;
#[derive(Debug)]
pub struct Ntile {
name: String,
n: u64,
}
impl Ntile {
pub fn new(name: String, n: u64) -> Self {
Self { name, n }
}
}
impl BuiltInWindowFunctionExpr for Ntile {
fn as_any(&self) -> &dyn Any {
self
}
fn field(&self) -> Result<Field> {
let nullable = false;
let data_type = DataType::UInt64;
Ok(Field::new(self.name(), data_type, nullable))
}
fn expressions(&self) -> Vec<Arc<dyn PhysicalExpr>> {
vec![]
}
fn name(&self) -> &str {
&self.name
}
fn create_evaluator(&self) -> Result<Box<dyn PartitionEvaluator>> {
Ok(Box::new(NtileEvaluator { n: self.n }))
}
}
#[derive(Debug)]
pub(crate) struct NtileEvaluator {
n: u64,
}
impl PartitionEvaluator for NtileEvaluator {
fn evaluate_all(
&mut self,
_values: &[ArrayRef],
num_rows: usize,
) -> Result<ArrayRef> {
let num_rows = num_rows as u64;
let mut vec: Vec<u64> = Vec::new();
for i in 0..num_rows {
let res = i * self.n / num_rows;
vec.push(res + 1)
}
Ok(Arc::new(UInt64Array::from(vec)))
}
}