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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 std::sync::Arc;
use crate::expr::aggregate::PyAggregate;
use crate::expr::analyze::PyAnalyze;
use crate::expr::distinct::PyDistinct;
use crate::expr::empty_relation::PyEmptyRelation;
use crate::expr::explain::PyExplain;
use crate::expr::extension::PyExtension;
use crate::expr::filter::PyFilter;
use crate::expr::join::PyJoin;
use crate::expr::limit::PyLimit;
use crate::expr::projection::PyProjection;
use crate::expr::sort::PySort;
use crate::expr::subquery::PySubquery;
use crate::expr::subquery_alias::PySubqueryAlias;
use crate::expr::table_scan::PyTableScan;
use crate::expr::unnest::PyUnnest;
use crate::expr::window::PyWindowExpr;
use crate::{context::PySessionContext, errors::py_unsupported_variant_err};
use datafusion::{error::DataFusionError, logical_expr::LogicalPlan};
use datafusion_proto::logical_plan::{AsLogicalPlan, DefaultLogicalExtensionCodec};
use prost::Message;
use pyo3::{exceptions::PyRuntimeError, prelude::*, types::PyBytes};
use crate::expr::logical_node::LogicalNode;
#[pyclass(name = "LogicalPlan", module = "datafusion", subclass)]
#[derive(Debug, Clone)]
pub struct PyLogicalPlan {
pub(crate) plan: Arc<LogicalPlan>,
}
impl PyLogicalPlan {
/// creates a new PyLogicalPlan
pub fn new(plan: LogicalPlan) -> Self {
Self {
plan: Arc::new(plan),
}
}
pub fn plan(&self) -> Arc<LogicalPlan> {
self.plan.clone()
}
}
#[pymethods]
impl PyLogicalPlan {
/// Return the specific logical operator
pub fn to_variant(&self, py: Python) -> PyResult<PyObject> {
match self.plan.as_ref() {
LogicalPlan::Aggregate(plan) => PyAggregate::from(plan.clone()).to_variant(py),
LogicalPlan::Analyze(plan) => PyAnalyze::from(plan.clone()).to_variant(py),
LogicalPlan::Distinct(plan) => PyDistinct::from(plan.clone()).to_variant(py),
LogicalPlan::EmptyRelation(plan) => PyEmptyRelation::from(plan.clone()).to_variant(py),
LogicalPlan::Explain(plan) => PyExplain::from(plan.clone()).to_variant(py),
LogicalPlan::Extension(plan) => PyExtension::from(plan.clone()).to_variant(py),
LogicalPlan::Filter(plan) => PyFilter::from(plan.clone()).to_variant(py),
LogicalPlan::Join(plan) => PyJoin::from(plan.clone()).to_variant(py),
LogicalPlan::Limit(plan) => PyLimit::from(plan.clone()).to_variant(py),
LogicalPlan::Projection(plan) => PyProjection::from(plan.clone()).to_variant(py),
LogicalPlan::Sort(plan) => PySort::from(plan.clone()).to_variant(py),
LogicalPlan::TableScan(plan) => PyTableScan::from(plan.clone()).to_variant(py),
LogicalPlan::Subquery(plan) => PySubquery::from(plan.clone()).to_variant(py),
LogicalPlan::SubqueryAlias(plan) => PySubqueryAlias::from(plan.clone()).to_variant(py),
LogicalPlan::Unnest(plan) => PyUnnest::from(plan.clone()).to_variant(py),
LogicalPlan::Window(plan) => PyWindowExpr::from(plan.clone()).to_variant(py),
LogicalPlan::Repartition(_)
| LogicalPlan::Union(_)
| LogicalPlan::Statement(_)
| LogicalPlan::Values(_)
| LogicalPlan::Prepare(_)
| LogicalPlan::Dml(_)
| LogicalPlan::Ddl(_)
| LogicalPlan::Copy(_)
| LogicalPlan::DescribeTable(_)
| LogicalPlan::Execute(_)
| LogicalPlan::RecursiveQuery(_) => Err(py_unsupported_variant_err(format!(
"Conversion of variant not implemented: {:?}",
self.plan
))),
}
}
/// Get the inputs to this plan
fn inputs(&self) -> Vec<PyLogicalPlan> {
let mut inputs = vec![];
for input in self.plan.inputs() {
inputs.push(input.to_owned().into());
}
inputs
}
fn __repr__(&self) -> PyResult<String> {
Ok(format!("{:?}", self.plan))
}
fn display(&self) -> String {
format!("{}", self.plan.display())
}
fn display_indent(&self) -> String {
format!("{}", self.plan.display_indent())
}
fn display_indent_schema(&self) -> String {
format!("{}", self.plan.display_indent_schema())
}
fn display_graphviz(&self) -> String {
format!("{}", self.plan.display_graphviz())
}
pub fn to_proto<'py>(&'py self, py: Python<'py>) -> PyResult<Bound<'py, PyBytes>> {
let codec = DefaultLogicalExtensionCodec {};
let proto =
datafusion_proto::protobuf::LogicalPlanNode::try_from_logical_plan(&self.plan, &codec)?;
let bytes = proto.encode_to_vec();
Ok(PyBytes::new_bound(py, &bytes))
}
#[staticmethod]
pub fn from_proto(ctx: PySessionContext, proto_msg: Bound<'_, PyBytes>) -> PyResult<Self> {
let bytes: &[u8] = proto_msg.extract()?;
let proto_plan =
datafusion_proto::protobuf::LogicalPlanNode::decode(bytes).map_err(|e| {
PyRuntimeError::new_err(format!(
"Unable to decode logical node from serialized bytes: {}",
e
))
})?;
let codec = DefaultLogicalExtensionCodec {};
let plan = proto_plan
.try_into_logical_plan(&ctx.ctx, &codec)
.map_err(DataFusionError::from)?;
Ok(Self::new(plan))
}
}
impl From<PyLogicalPlan> for LogicalPlan {
fn from(logical_plan: PyLogicalPlan) -> LogicalPlan {
logical_plan.plan.as_ref().clone()
}
}
impl From<LogicalPlan> for PyLogicalPlan {
fn from(logical_plan: LogicalPlan) -> PyLogicalPlan {
PyLogicalPlan {
plan: Arc::new(logical_plan),
}
}
}