datafusion_python/expr/
scalar_variable.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 datafusion::arrow::datatypes::DataType;
19use pyo3::prelude::*;
20
21use crate::common::data_type::PyDataType;
22
23#[pyclass(name = "ScalarVariable", module = "datafusion.expr", subclass)]
24#[derive(Clone)]
25pub struct PyScalarVariable {
26    data_type: DataType,
27    variables: Vec<String>,
28}
29
30impl PyScalarVariable {
31    pub fn new(data_type: &DataType, variables: &[String]) -> Self {
32        Self {
33            data_type: data_type.to_owned(),
34            variables: variables.to_vec(),
35        }
36    }
37}
38
39#[pymethods]
40impl PyScalarVariable {
41    /// Get the data type
42    fn data_type(&self) -> PyResult<PyDataType> {
43        Ok(self.data_type.clone().into())
44    }
45
46    fn variables(&self) -> PyResult<Vec<String>> {
47        Ok(self.variables.clone())
48    }
49
50    fn __repr__(&self) -> PyResult<String> {
51        Ok(format!("{}{:?}", self.data_type, self.variables))
52    }
53}
datafusion_python/expr/scalar_variable.rs

datafusion_python/expr/
scalar_variable.rs
