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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.
//! [`Analyzer`] and [`AnalyzerRule`]
use std::fmt::Debug;
use std::sync::Arc;
use log::debug;
use datafusion_common::config::ConfigOptions;
use datafusion_common::instant::Instant;
use datafusion_common::Result;
use datafusion_expr::expr_rewriter::FunctionRewrite;
use datafusion_expr::{InvariantLevel, LogicalPlan};
use crate::analyzer::resolve_grouping_function::ResolveGroupingFunction;
use crate::analyzer::type_coercion::TypeCoercion;
use crate::utils::log_plan;
use self::function_rewrite::ApplyFunctionRewrites;
pub mod function_rewrite;
pub mod resolve_grouping_function;
pub mod type_coercion;
/// [`AnalyzerRule`]s transform [`LogicalPlan`]s in some way to make
/// the plan valid prior to the rest of the DataFusion optimization process.
///
/// `AnalyzerRule`s are different than an [`OptimizerRule`](crate::OptimizerRule)s
/// which must preserve the semantics of the `LogicalPlan`, while computing
/// results in a more optimal way.
///
/// For example, an `AnalyzerRule` may resolve [`Expr`](datafusion_expr::Expr)s into more specific
/// forms such as a subquery reference, or do type coercion to ensure the types
/// of operands are correct.
///
/// Use [`SessionState::add_analyzer_rule`] to register additional
/// `AnalyzerRule`s.
///
/// [`SessionState::add_analyzer_rule`]: https://docs.rs/datafusion/latest/datafusion/execution/session_state/struct.SessionState.html#method.add_analyzer_rule
pub trait AnalyzerRule: Debug {
/// Rewrite `plan`
fn analyze(&self, plan: LogicalPlan, config: &ConfigOptions) -> Result<LogicalPlan>;
/// A human readable name for this analyzer rule
fn name(&self) -> &str;
}
/// Rule-based Analyzer.
///
/// Applies [`FunctionRewrite`]s and [`AnalyzerRule`]s to transform a
/// [`LogicalPlan`] in preparation for execution.
///
/// For example, the `Analyzer` applies type coercion to ensure the types of
/// operands match the types required by functions.
#[derive(Clone, Debug)]
pub struct Analyzer {
/// Expr --> Function writes to apply prior to analysis passes
pub function_rewrites: Vec<Arc<dyn FunctionRewrite + Send + Sync>>,
/// All rules to apply
pub rules: Vec<Arc<dyn AnalyzerRule + Send + Sync>>,
}
impl Default for Analyzer {
fn default() -> Self {
Self::new()
}
}
impl Analyzer {
/// Create a new analyzer using the recommended list of rules
pub fn new() -> Self {
let rules: Vec<Arc<dyn AnalyzerRule + Send + Sync>> = vec![
Arc::new(ResolveGroupingFunction::new()),
Arc::new(TypeCoercion::new()),
];
Self::with_rules(rules)
}
/// Create a new analyzer with the given rules
pub fn with_rules(rules: Vec<Arc<dyn AnalyzerRule + Send + Sync>>) -> Self {
Self {
function_rewrites: vec![],
rules,
}
}
/// Add a function rewrite rule
pub fn add_function_rewrite(
&mut self,
rewrite: Arc<dyn FunctionRewrite + Send + Sync>,
) {
self.function_rewrites.push(rewrite);
}
/// return the list of function rewrites in this analyzer
pub fn function_rewrites(&self) -> &[Arc<dyn FunctionRewrite + Send + Sync>] {
&self.function_rewrites
}
/// Analyze the logical plan by applying analyzer rules, and
/// do necessary check and fail the invalid plans
pub fn execute_and_check<F>(
&self,
plan: LogicalPlan,
config: &ConfigOptions,
mut observer: F,
) -> Result<LogicalPlan>
where
F: FnMut(&LogicalPlan, &dyn AnalyzerRule),
{
// verify the logical plan required invariants at the start, before analyzer
plan.check_invariants(InvariantLevel::Always)
.map_err(|e| e.context("Invalid input plan passed to Analyzer"))?;
let start_time = Instant::now();
let mut new_plan = plan;
// Create an analyzer pass that rewrites `Expr`s to function_calls, as
// appropriate.
//
// Note this is run before all other rules since it rewrites based on
// the argument types (List or Scalar), and TypeCoercion may cast the
// argument types from Scalar to List.
let expr_to_function: Option<Arc<dyn AnalyzerRule + Send + Sync>> =
if self.function_rewrites.is_empty() {
None
} else {
Some(Arc::new(ApplyFunctionRewrites::new(
self.function_rewrites.clone(),
)))
};
let rules = expr_to_function.iter().chain(self.rules.iter());
// TODO add common rule executor for Analyzer and Optimizer
for rule in rules {
new_plan = rule
.analyze(new_plan, config)
.map_err(|e| e.context(rule.name()))?;
log_plan(rule.name(), &new_plan);
observer(&new_plan, rule.as_ref());
}
// verify at the end, after the last LP analyzer pass, that the plan is executable.
new_plan
.check_invariants(InvariantLevel::Executable)
.map_err(|e| e.context("Invalid (non-executable) plan after Analyzer"))?;
log_plan("Final analyzed plan", &new_plan);
debug!("Analyzer took {} ms", start_time.elapsed().as_millis());
Ok(new_plan)
}
}