datafusion_python/expr/
aggregate_expr.rs

1// Licensed to the Apache Software Foundation (ASF) under one
2// or more contributor license agreements.  See the NOTICE file
3// distributed with this work for additional information
4// regarding copyright ownership.  The ASF licenses this file
5// to you under the Apache License, Version 2.0 (the
6// "License"); you may not use this file except in compliance
7// with the License.  You may obtain a copy of the License at
8//
9//   http://www.apache.org/licenses/LICENSE-2.0
10//
11// Unless required by applicable law or agreed to in writing,
12// software distributed under the License is distributed on an
13// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
14// KIND, either express or implied.  See the License for the
15// specific language governing permissions and limitations
16// under the License.
17
18use crate::expr::PyExpr;
19use datafusion::logical_expr::expr::AggregateFunction;
20use pyo3::prelude::*;
21use std::fmt::{Display, Formatter};
22
23#[pyclass(name = "AggregateFunction", module = "datafusion.expr", subclass)]
24#[derive(Clone)]
25pub struct PyAggregateFunction {
26    aggr: AggregateFunction,
27}
28
29impl From<PyAggregateFunction> for AggregateFunction {
30    fn from(aggr: PyAggregateFunction) -> Self {
31        aggr.aggr
32    }
33}
34
35impl From<AggregateFunction> for PyAggregateFunction {
36    fn from(aggr: AggregateFunction) -> PyAggregateFunction {
37        PyAggregateFunction { aggr }
38    }
39}
40
41impl Display for PyAggregateFunction {
42    fn fmt(&self, f: &mut Formatter) -> std::fmt::Result {
43        let args: Vec<String> = self.aggr.args.iter().map(|expr| expr.to_string()).collect();
44        write!(f, "{}({})", self.aggr.func.name(), args.join(", "))
45    }
46}
47
48#[pymethods]
49impl PyAggregateFunction {
50    /// Get the aggregate type, such as "MIN", or "MAX"
51    fn aggregate_type(&self) -> String {
52        self.aggr.func.name().to_string()
53    }
54
55    /// is this a distinct aggregate such as `COUNT(DISTINCT expr)`
56    fn is_distinct(&self) -> bool {
57        self.aggr.distinct
58    }
59
60    /// Get the arguments to the aggregate function
61    fn args(&self) -> Vec<PyExpr> {
62        self.aggr
63            .args
64            .iter()
65            .map(|expr| PyExpr::from(expr.clone()))
66            .collect()
67    }
68
69    /// Get a String representation of this column
70    fn __repr__(&self) -> String {
71        format!("{}", self)
72    }
73}
datafusion_python/expr/aggregate_expr.rs

datafusion_python/expr/
aggregate_expr.rs
