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 std::fmt::{Display, Formatter};
19
20use datafusion::logical_expr::expr::AggregateFunction;
21use pyo3::prelude::*;
22
23use crate::expr::PyExpr;
24
25#[pyclass(
26    from_py_object,
27    frozen,
28    name = "AggregateFunction",
29    module = "datafusion.expr",
30    subclass
31)]
32#[derive(Clone)]
33pub struct PyAggregateFunction {
34    aggr: AggregateFunction,
35}
36
37impl From<PyAggregateFunction> for AggregateFunction {
38    fn from(aggr: PyAggregateFunction) -> Self {
39        aggr.aggr
40    }
41}
42
43impl From<AggregateFunction> for PyAggregateFunction {
44    fn from(aggr: AggregateFunction) -> PyAggregateFunction {
45        PyAggregateFunction { aggr }
46    }
47}
48
49impl Display for PyAggregateFunction {
50    fn fmt(&self, f: &mut Formatter) -> std::fmt::Result {
51        let args: Vec<String> = self
52            .aggr
53            .params
54            .args
55            .iter()
56            .map(|expr| expr.to_string())
57            .collect();
58        write!(f, "{}({})", self.aggr.func.name(), args.join(", "))
59    }
60}
61
62#[pymethods]
63impl PyAggregateFunction {
64    /// Get the aggregate type, such as "MIN", or "MAX"
65    fn aggregate_type(&self) -> String {
66        self.aggr.func.name().to_string()
67    }
68
69    /// is this a distinct aggregate such as `COUNT(DISTINCT expr)`
70    fn is_distinct(&self) -> bool {
71        self.aggr.params.distinct
72    }
73
74    /// Get the arguments to the aggregate function
75    fn args(&self) -> Vec<PyExpr> {
76        self.aggr
77            .params
78            .args
79            .iter()
80            .map(|expr| PyExpr::from(expr.clone()))
81            .collect()
82    }
83
84    /// Get a String representation of this column
85    fn __repr__(&self) -> String {
86        format!("{self}")
87    }
88}
datafusion_python/expr/aggregate_expr.rs

datafusion_python/expr/
aggregate_expr.rs
