datafusion_python/expr/limit.rs
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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 datafusion::logical_expr::logical_plan::Limit;
use pyo3::prelude::*;
use std::fmt::{self, Display, Formatter};
use crate::common::df_schema::PyDFSchema;
use crate::expr::logical_node::LogicalNode;
use crate::sql::logical::PyLogicalPlan;
#[pyclass(name = "Limit", module = "datafusion.expr", subclass)]
#[derive(Clone)]
pub struct PyLimit {
limit: Limit,
}
impl From<Limit> for PyLimit {
fn from(limit: Limit) -> PyLimit {
PyLimit { limit }
}
}
impl From<PyLimit> for Limit {
fn from(limit: PyLimit) -> Self {
limit.limit
}
}
impl Display for PyLimit {
fn fmt(&self, f: &mut Formatter) -> fmt::Result {
write!(
f,
"Limit
Skip: {:?}
Fetch: {:?}
Input: {:?}",
&self.limit.skip, &self.limit.fetch, &self.limit.input
)
}
}
#[pymethods]
impl PyLimit {
// NOTE: Upstream now has expressions for skip and fetch
// TODO: Do we still want to expose these?
// REF: https://github.com/apache/datafusion/pull/12836
// /// Retrieves the skip value for this `Limit`
// fn skip(&self) -> usize {
// self.limit.skip
// }
// /// Retrieves the fetch value for this `Limit`
// fn fetch(&self) -> Option<usize> {
// self.limit.fetch
// }
/// Retrieves the input `LogicalPlan` to this `Limit` node
fn input(&self) -> PyResult<Vec<PyLogicalPlan>> {
Ok(Self::inputs(self))
}
/// Resulting Schema for this `Limit` node instance
fn schema(&self) -> PyResult<PyDFSchema> {
Ok(self.limit.input.schema().as_ref().clone().into())
}
fn __repr__(&self) -> PyResult<String> {
Ok(format!("Limit({})", self))
}
}
impl LogicalNode for PyLimit {
fn inputs(&self) -> Vec<PyLogicalPlan> {
vec![PyLogicalPlan::from((*self.limit.input).clone())]
}
fn to_variant(&self, py: Python) -> PyResult<PyObject> {
Ok(self.clone().into_py(py))
}
}