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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.
use crate::{PhysicalExpr, PhysicalSortExpr};
use arrow::array::ArrayRef;
use arrow::datatypes::Field;
use arrow::record_batch::RecordBatch;
use arrow_schema::SchemaRef;
use datafusion_common::Result;
use datafusion_expr::PartitionEvaluator;
use std::any::Any;
use std::sync::Arc;
/// Evaluates a window function by instantiating a
/// `[PartitionEvaluator]` for calculating the function's output in
/// that partition.
///
/// Note that unlike aggregation based window functions, some window
/// functions such as `rank` ignore the values in the window frame,
/// but others such as `first_value`, `last_value`, and
/// `nth_value` need the value.
#[allow(rustdoc::private_intra_doc_links)]
pub trait BuiltInWindowFunctionExpr: Send + Sync + std::fmt::Debug {
/// Returns the aggregate expression as [`Any`] so that it can be
/// downcast to a specific implementation.
fn as_any(&self) -> &dyn Any;
/// The field of the final result of evaluating this window function.
fn field(&self) -> Result<Field>;
/// Expressions that are passed to the [`PartitionEvaluator`].
fn expressions(&self) -> Vec<Arc<dyn PhysicalExpr>>;
/// Human readable name such as `"MIN(c2)"` or `"RANK()"`. The default
/// implementation returns placeholder text.
fn name(&self) -> &str {
"BuiltInWindowFunctionExpr: default name"
}
/// Evaluate window function's arguments against the input window
/// batch and return an [`ArrayRef`].
///
/// Typically, the resulting vector is a single element vector.
fn evaluate_args(&self, batch: &RecordBatch) -> Result<Vec<ArrayRef>> {
self.expressions()
.iter()
.map(|e| {
e.evaluate(batch)
.and_then(|v| v.into_array(batch.num_rows()))
})
.collect()
}
/// Create a [`PartitionEvaluator`] for evaluating the function on
/// a particular partition.
fn create_evaluator(&self) -> Result<Box<dyn PartitionEvaluator>>;
/// Construct a new [`BuiltInWindowFunctionExpr`] that produces
/// the same result as this function on a window with reverse
/// order. The return value of this function is used by the
/// DataFusion optimizer to avoid re-sorting the data when
/// possible.
///
/// Returns `None` (the default) if no reverse is known (or possible).
///
/// For example, the reverse of `lead(10)` is `lag(10)`.
fn reverse_expr(&self) -> Option<Arc<dyn BuiltInWindowFunctionExpr>> {
None
}
/// Returns the ordering introduced by the window function, if applicable.
/// Most window functions don't introduce an ordering, hence the default
/// value is `None`. Note that this information is used to update ordering
/// equivalences.
fn get_result_ordering(&self, _schema: &SchemaRef) -> Option<PhysicalSortExpr> {
None
}
}