src/expr/projection.rs (84 lines of code) (raw):
// Licensed to the Apache Software Foundation (ASF) under one
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// 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 datafusion_expr::logical_plan::Projection;
use datafusion_expr::Expr;
use pyo3::prelude::*;
use std::fmt::{self, Display, Formatter};
use crate::common::df_schema::PyDFSchema;
use crate::expr::logical_node::LogicalNode;
use crate::expr::PyExpr;
use crate::sql::logical::PyLogicalPlan;
#[pyclass(name = "Projection", module = "datafusion.expr", subclass)]
#[derive(Clone)]
pub struct PyProjection {
pub projection: Projection,
}
impl PyProjection {
pub fn new(projection: Projection) -> Self {
Self { projection }
}
}
impl From<Projection> for PyProjection {
fn from(projection: Projection) -> PyProjection {
PyProjection { projection }
}
}
impl From<PyProjection> for Projection {
fn from(proj: PyProjection) -> Self {
proj.projection
}
}
impl Display for PyProjection {
fn fmt(&self, f: &mut Formatter) -> fmt::Result {
write!(
f,
"Projection
\nExpr(s): {:?}
\nInput: {:?}
\nProjected Schema: {:?}",
&self.projection.expr, &self.projection.input, &self.projection.schema,
)
}
}
#[pymethods]
impl PyProjection {
/// Retrieves the expressions for this `Projection`
fn projections(&self) -> PyResult<Vec<PyExpr>> {
Ok(self
.projection
.expr
.iter()
.map(|e| PyExpr::from(e.clone()))
.collect())
}
/// Retrieves the input `LogicalPlan` to this `Projection` node
fn input(&self) -> PyResult<Vec<PyLogicalPlan>> {
Ok(Self::inputs(self))
}
/// Resulting Schema for this `Projection` node instance
fn schema(&self) -> PyResult<PyDFSchema> {
Ok((*self.projection.schema).clone().into())
}
fn __repr__(&self) -> PyResult<String> {
Ok(format!("Projection({})", self))
}
fn __name__(&self) -> PyResult<String> {
Ok("Projection".to_string())
}
}
impl PyProjection {
/// Projection: Gets the names of the fields that should be projected
pub fn projected_expressions(local_expr: &PyExpr) -> Vec<PyExpr> {
let mut projs: Vec<PyExpr> = Vec::new();
match &local_expr.expr {
Expr::Alias(alias) => {
let py_expr: PyExpr = PyExpr::from(*alias.expr.clone());
projs.extend_from_slice(Self::projected_expressions(&py_expr).as_slice());
}
_ => projs.push(local_expr.clone()),
}
projs
}
}
impl LogicalNode for PyProjection {
fn inputs(&self) -> Vec<PyLogicalPlan> {
vec![PyLogicalPlan::from((*self.projection.input).clone())]
}
fn to_variant(&self, py: Python) -> PyResult<PyObject> {
Ok(self.clone().into_py(py))
}
}