blob: 4faf9389cfac4ee19da5d9992f1d775a8b3f6a00 [file]
// 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.
//! Simplify expressions optimizer rule and implementation
use std::sync::Arc;
use datafusion_common::tree_node::{Transformed, TreeNode};
use datafusion_common::{DFSchema, DFSchemaRef, DataFusionError, Result};
use datafusion_expr::execution_props::ExecutionProps;
use datafusion_expr::logical_plan::LogicalPlan;
use datafusion_expr::simplify::SimplifyContext;
use datafusion_expr::utils::merge_schema;
use datafusion_expr::Expr;
use crate::optimizer::ApplyOrder;
use crate::utils::NamePreserver;
use crate::{OptimizerConfig, OptimizerRule};
use super::ExprSimplifier;
/// Optimizer Pass that simplifies [`LogicalPlan`]s by rewriting
/// [`Expr`]`s evaluating constants and applying algebraic
/// simplifications
///
/// # Introduction
/// It uses boolean algebra laws to simplify or reduce the number of terms in expressions.
///
/// # Example:
/// `Filter: b > 2 AND b > 2`
/// is optimized to
/// `Filter: b > 2`
///
/// [`Expr`]: datafusion_expr::Expr
#[derive(Default, Debug)]
pub struct SimplifyExpressions {}
impl OptimizerRule for SimplifyExpressions {
fn name(&self) -> &str {
"simplify_expressions"
}
fn apply_order(&self) -> Option<ApplyOrder> {
Some(ApplyOrder::BottomUp)
}
fn supports_rewrite(&self) -> bool {
true
}
fn rewrite(
&self,
plan: LogicalPlan,
config: &dyn OptimizerConfig,
) -> Result<Transformed<LogicalPlan>, DataFusionError> {
let mut execution_props = ExecutionProps::new();
execution_props.query_execution_start_time = config.query_execution_start_time();
execution_props.config_options = Some(config.options());
Self::optimize_internal(plan, &execution_props)
}
}
impl SimplifyExpressions {
fn optimize_internal(
plan: LogicalPlan,
execution_props: &ExecutionProps,
) -> Result<Transformed<LogicalPlan>> {
let schema = if !plan.inputs().is_empty() {
DFSchemaRef::new(merge_schema(&plan.inputs()))
} else if let LogicalPlan::TableScan(scan) = &plan {
// When predicates are pushed into a table scan, there is no input
// schema to resolve predicates against, so it must be handled specially
//
// Note that this is not `plan.schema()` which is the *output*
// schema, and reflects any pushed down projection. The output schema
// will not contain columns that *only* appear in pushed down predicates
// (and no where else) in the plan.
//
// Thus, use the full schema of the inner provider without any
// projection applied for simplification
Arc::new(DFSchema::try_from_qualified_schema(
scan.table_name.clone(),
&scan.source.schema(),
)?)
} else {
Arc::new(DFSchema::empty())
};
let info = SimplifyContext::new(execution_props).with_schema(schema);
// Inputs have already been rewritten (due to bottom-up traversal handled by Optimizer)
// Just need to rewrite our own expressions
let simplifier = ExprSimplifier::new(info);
// The left and right expressions in a Join on clause are not
// commutative, for reasons that are not entirely clear. Thus, do not
// reorder expressions in Join while simplifying.
//
// This is likely related to the fact that order of the columns must
// match the order of the children. see
// https://github.com/apache/datafusion/pull/8780 for more details
let simplifier = if let LogicalPlan::Join(_) = plan {
simplifier.with_canonicalize(false)
} else {
simplifier
};
// Preserve expression names to avoid changing the schema of the plan.
let name_preserver = NamePreserver::new(&plan);
let mut rewrite_expr = |expr: Expr| {
let name = name_preserver.save(&expr);
let expr = simplifier.simplify_with_cycle_count_transformed(expr)?.0;
Ok(Transformed::new_transformed(
name.restore(expr.data),
expr.transformed,
))
};
plan.map_expressions(|expr| {
// Preserve the aliasing of grouping sets.
if let Expr::GroupingSet(_) = &expr {
expr.map_children(&mut rewrite_expr)
} else {
rewrite_expr(expr)
}
})
}
}
impl SimplifyExpressions {
#[allow(missing_docs)]
pub fn new() -> Self {
Self {}
}
}
#[cfg(test)]
mod tests {
use std::ops::Not;
use arrow::datatypes::{DataType, Field, Schema};
use chrono::{DateTime, Utc};
use datafusion_expr::logical_plan::builder::table_scan_with_filters;
use datafusion_expr::logical_plan::table_scan;
use datafusion_expr::*;
use datafusion_functions_aggregate::expr_fn::{max, min};
use crate::assert_optimized_plan_eq_snapshot;
use crate::test::{assert_fields_eq, test_table_scan_with_name};
use crate::OptimizerContext;
use super::*;
fn test_table_scan() -> LogicalPlan {
let schema = Schema::new(vec![
Field::new("a", DataType::Boolean, false),
Field::new("b", DataType::Boolean, false),
Field::new("c", DataType::Boolean, false),
Field::new("d", DataType::UInt32, false),
Field::new("e", DataType::UInt32, true),
]);
table_scan(Some("test"), &schema, None)
.expect("creating scan")
.build()
.expect("building plan")
}
macro_rules! assert_optimized_plan_equal {
(
$plan:expr,
@ $expected:literal $(,)?
) => {{
let rules: Vec<Arc<dyn crate::OptimizerRule + Send + Sync>> = vec![Arc::new(SimplifyExpressions::new())];
let optimizer_ctx = OptimizerContext::new();
assert_optimized_plan_eq_snapshot!(
optimizer_ctx,
rules,
$plan,
@ $expected,
)
}};
}
#[test]
fn test_simplify_table_full_filter_in_scan() -> Result<()> {
let fields = vec![
Field::new("a", DataType::UInt32, false),
Field::new("b", DataType::UInt32, false),
Field::new("c", DataType::UInt32, false),
];
let schema = Schema::new(fields);
let table_scan = table_scan_with_filters(
Some("test"),
&schema,
Some(vec![0]),
vec![col("b").is_not_null()],
)?
.build()?;
assert_eq!(1, table_scan.schema().fields().len());
assert_fields_eq(&table_scan, vec!["a"]);
assert_optimized_plan_equal!(
table_scan,
@ r"TableScan: test projection=[a], full_filters=[Boolean(true)]"
)
}
#[test]
fn test_simplify_filter_pushdown() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.project(vec![col("a")])?
.filter(and(col("b").gt(lit(1)), col("b").gt(lit(1))))?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.b > Int32(1)
Projection: test.a
TableScan: test
"
)
}
#[test]
fn test_simplify_optimized_plan() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.project(vec![col("a")])?
.filter(and(col("b").gt(lit(1)), col("b").gt(lit(1))))?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.b > Int32(1)
Projection: test.a
TableScan: test
"
)
}
#[test]
fn test_simplify_optimized_plan_with_or() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.project(vec![col("a")])?
.filter(or(col("b").gt(lit(1)), col("b").gt(lit(1))))?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.b > Int32(1)
Projection: test.a
TableScan: test
"
)
}
#[test]
fn test_simplify_optimized_plan_with_composed_and() -> Result<()> {
let table_scan = test_table_scan();
// ((c > 5) AND (d < 6)) AND (c > 5) --> (c > 5) AND (d < 6)
let plan = LogicalPlanBuilder::from(table_scan)
.project(vec![col("a"), col("b")])?
.filter(and(
and(col("a").gt(lit(5)), col("b").lt(lit(6))),
col("a").gt(lit(5)),
))?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.a > Int32(5) AND test.b < Int32(6)
Projection: test.a, test.b
TableScan: test
"
)
}
#[test]
fn test_simplify_optimized_plan_eq_expr() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("b").eq(lit(true)))?
.filter(col("c").eq(lit(false)))?
.project(vec![col("a")])?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Projection: test.a
Filter: NOT test.c
Filter: test.b
TableScan: test
"
)
}
#[test]
fn test_simplify_optimized_plan_not_eq_expr() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("b").not_eq(lit(true)))?
.filter(col("c").not_eq(lit(false)))?
.limit(0, Some(1))?
.project(vec![col("a")])?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Projection: test.a
Limit: skip=0, fetch=1
Filter: test.c
Filter: NOT test.b
TableScan: test
"
)
}
#[test]
fn test_simplify_optimized_plan_and_expr() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("b").not_eq(lit(true)).and(col("c").eq(lit(true))))?
.project(vec![col("a")])?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Projection: test.a
Filter: NOT test.b AND test.c
TableScan: test
"
)
}
#[test]
fn test_simplify_optimized_plan_or_expr() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("b").not_eq(lit(true)).or(col("c").eq(lit(false))))?
.project(vec![col("a")])?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Projection: test.a
Filter: NOT test.b OR NOT test.c
TableScan: test
"
)
}
#[test]
fn test_simplify_optimized_plan_not_expr() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("b").eq(lit(false)).not())?
.project(vec![col("a")])?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Projection: test.a
Filter: test.b
TableScan: test
"
)
}
#[test]
fn test_simplify_optimized_plan_support_projection() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.project(vec![col("a"), col("d"), col("b").eq(lit(false))])?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Projection: test.a, test.d, NOT test.b AS test.b = Boolean(false)
TableScan: test
"
)
}
#[test]
fn test_simplify_optimized_plan_support_aggregate() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.project(vec![col("a"), col("c"), col("b")])?
.aggregate(
vec![col("a"), col("c")],
vec![max(col("b").eq(lit(true))), min(col("b"))],
)?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Aggregate: groupBy=[[test.a, test.c]], aggr=[[max(test.b) AS max(test.b = Boolean(true)), min(test.b)]]
Projection: test.a, test.c, test.b
TableScan: test
"
)
}
#[test]
fn test_simplify_optimized_plan_support_values() -> Result<()> {
let expr1 = Expr::BinaryExpr(BinaryExpr::new(
Box::new(lit(1)),
Operator::Plus,
Box::new(lit(2)),
));
let expr2 = Expr::BinaryExpr(BinaryExpr::new(
Box::new(lit(2)),
Operator::Minus,
Box::new(lit(1)),
));
let values = vec![vec![expr1, expr2]];
let plan = LogicalPlanBuilder::values(values)?.build()?;
assert_optimized_plan_equal!(
plan,
@ "Values: (Int32(3) AS Int32(1) + Int32(2), Int32(1) AS Int32(2) - Int32(1))"
)
}
fn get_optimized_plan_formatted(
plan: LogicalPlan,
date_time: &DateTime<Utc>,
) -> String {
let config = OptimizerContext::new().with_query_execution_start_time(*date_time);
let rule = SimplifyExpressions::new();
let optimized_plan = rule.rewrite(plan, &config).unwrap().data;
format!("{optimized_plan}")
}
#[test]
fn cast_expr() -> Result<()> {
let table_scan = test_table_scan();
let proj = vec![Expr::Cast(Cast::new(Box::new(lit("0")), DataType::Int32))];
let plan = LogicalPlanBuilder::from(table_scan)
.project(proj)?
.build()?;
let expected = "Projection: Int32(0) AS Utf8(\"0\")\
\n TableScan: test";
let actual = get_optimized_plan_formatted(plan, &Utc::now());
assert_eq!(expected, actual);
Ok(())
}
#[test]
fn simplify_and_eval() -> Result<()> {
// demonstrate a case where the evaluation needs to run prior
// to the simplifier for it to work
let table_scan = test_table_scan();
let time = Utc::now();
// (true or false) != col --> !col
let proj = vec![lit(true).or(lit(false)).not_eq(col("a"))];
let plan = LogicalPlanBuilder::from(table_scan)
.project(proj)?
.build()?;
let actual = get_optimized_plan_formatted(plan, &time);
let expected =
"Projection: NOT test.a AS Boolean(true) OR Boolean(false) != test.a\
\n TableScan: test";
assert_eq!(expected, actual);
Ok(())
}
#[test]
fn simplify_not_binary() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("d").gt(lit(10)).not())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.d <= Int32(10)
TableScan: test
"
)
}
#[test]
fn simplify_not_bool_and() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("d").gt(lit(10)).and(col("d").lt(lit(100))).not())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.d <= Int32(10) OR test.d >= Int32(100)
TableScan: test
"
)
}
#[test]
fn simplify_not_bool_or() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("d").gt(lit(10)).or(col("d").lt(lit(100))).not())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.d <= Int32(10) AND test.d >= Int32(100)
TableScan: test
"
)
}
#[test]
fn simplify_not_not() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("d").gt(lit(10)).not().not())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.d > Int32(10)
TableScan: test
"
)
}
#[test]
fn simplify_not_null() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("e").is_null().not())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.e IS NOT NULL
TableScan: test
"
)
}
#[test]
fn simplify_not_not_null() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("e").is_not_null().not())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.e IS NULL
TableScan: test
"
)
}
#[test]
fn simplify_not_in() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("d").in_list(vec![lit(1), lit(2), lit(3)], false).not())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.d != Int32(1) AND test.d != Int32(2) AND test.d != Int32(3)
TableScan: test
"
)
}
#[test]
fn simplify_not_not_in() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("d").in_list(vec![lit(1), lit(2), lit(3)], true).not())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.d = Int32(1) OR test.d = Int32(2) OR test.d = Int32(3)
TableScan: test
"
)
}
#[test]
fn simplify_not_between() -> Result<()> {
let table_scan = test_table_scan();
let qual = col("d").between(lit(1), lit(10));
let plan = LogicalPlanBuilder::from(table_scan)
.filter(qual.not())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.d < Int32(1) OR test.d > Int32(10)
TableScan: test
"
)
}
#[test]
fn simplify_not_not_between() -> Result<()> {
let table_scan = test_table_scan();
let qual = col("d").not_between(lit(1), lit(10));
let plan = LogicalPlanBuilder::from(table_scan)
.filter(qual.not())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.d >= Int32(1) AND test.d <= Int32(10)
TableScan: test
"
)
}
#[test]
fn simplify_not_like() -> Result<()> {
let schema = Schema::new(vec![
Field::new("a", DataType::Utf8, false),
Field::new("b", DataType::Utf8, false),
]);
let table_scan = table_scan(Some("test"), &schema, None)
.expect("creating scan")
.build()
.expect("building plan");
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("a").like(col("b")).not())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.a NOT LIKE test.b
TableScan: test
"
)
}
#[test]
fn simplify_not_not_like() -> Result<()> {
let schema = Schema::new(vec![
Field::new("a", DataType::Utf8, false),
Field::new("b", DataType::Utf8, false),
]);
let table_scan = table_scan(Some("test"), &schema, None)
.expect("creating scan")
.build()
.expect("building plan");
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("a").not_like(col("b")).not())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.a LIKE test.b
TableScan: test
"
)
}
#[test]
fn simplify_not_ilike() -> Result<()> {
let schema = Schema::new(vec![
Field::new("a", DataType::Utf8, false),
Field::new("b", DataType::Utf8, false),
]);
let table_scan = table_scan(Some("test"), &schema, None)
.expect("creating scan")
.build()
.expect("building plan");
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("a").ilike(col("b")).not())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.a NOT ILIKE test.b
TableScan: test
"
)
}
#[test]
fn simplify_not_distinct_from() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.filter(binary_expr(col("d"), Operator::IsDistinctFrom, lit(10)).not())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.d IS NOT DISTINCT FROM Int32(10)
TableScan: test
"
)
}
#[test]
fn simplify_not_not_distinct_from() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.filter(binary_expr(col("d"), Operator::IsNotDistinctFrom, lit(10)).not())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.d IS DISTINCT FROM Int32(10)
TableScan: test
"
)
}
#[test]
fn simplify_equijoin_predicate() -> Result<()> {
let t1 = test_table_scan_with_name("t1")?;
let t2 = test_table_scan_with_name("t2")?;
let left_key = col("t1.a") + lit(1i64).cast_to(&DataType::UInt32, t1.schema())?;
let right_key =
col("t2.a") + lit(2i64).cast_to(&DataType::UInt32, t2.schema())?;
let plan = LogicalPlanBuilder::from(t1)
.join_with_expr_keys(
t2,
JoinType::Inner,
(vec![left_key], vec![right_key]),
None,
)?
.build()?;
// before simplify: t1.a + CAST(Int64(1), UInt32) = t2.a + CAST(Int64(2), UInt32)
// after simplify: t1.a + UInt32(1) = t2.a + UInt32(2) AS t1.a + Int64(1) = t2.a + Int64(2)
assert_optimized_plan_equal!(
plan,
@ r"
Inner Join: t1.a + UInt32(1) = t2.a + UInt32(2)
TableScan: t1
TableScan: t2
"
)
}
#[test]
fn simplify_is_not_null() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("d").is_not_null())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: Boolean(true)
TableScan: test
"
)
}
#[test]
fn simplify_is_null() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("d").is_null())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: Boolean(false)
TableScan: test
"
)
}
#[test]
fn simplify_grouping_sets() -> Result<()> {
let table_scan = test_table_scan();
let plan = LogicalPlanBuilder::from(table_scan)
.aggregate(
[grouping_set(vec![
vec![(lit(42).alias("prev") + lit(1)).alias("age"), col("a")],
vec![col("a").or(col("b")).and(lit(1).lt(lit(0))).alias("cond")],
vec![col("d").alias("e"), (lit(1) + lit(2))],
])],
[] as [Expr; 0],
)?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Aggregate: groupBy=[[GROUPING SETS ((Int32(43) AS age, test.a), (Boolean(false) AS cond), (test.d AS e, Int32(3) AS Int32(1) + Int32(2)))]], aggr=[[]]
TableScan: test
"
)
}
#[test]
fn test_simplify_regex_special_cases() -> Result<()> {
let schema = Schema::new(vec![
Field::new("a", DataType::Utf8, true),
Field::new("b", DataType::Utf8, false),
]);
let table_scan = table_scan(Some("test"), &schema, None)?.build()?;
// Test `= ".*"` transforms to true (except for empty strings)
let plan = LogicalPlanBuilder::from(table_scan.clone())
.filter(binary_expr(col("a"), Operator::RegexMatch, lit(".*")))?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.a IS NOT NULL
TableScan: test
"
)?;
// Test `!= ".*"` transforms to checking if the column is empty
let plan = LogicalPlanBuilder::from(table_scan.clone())
.filter(binary_expr(col("a"), Operator::RegexNotMatch, lit(".*")))?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r#"
Filter: test.a = Utf8("")
TableScan: test
"#
)?;
// Test case-insensitive versions
// Test `=~ ".*"` (case-insensitive) transforms to true (except for empty strings)
let plan = LogicalPlanBuilder::from(table_scan.clone())
.filter(binary_expr(col("b"), Operator::RegexIMatch, lit(".*")))?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: Boolean(true)
TableScan: test
"
)?;
// Test `!~ ".*"` (case-insensitive) transforms to checking if the column is empty
let plan = LogicalPlanBuilder::from(table_scan.clone())
.filter(binary_expr(col("a"), Operator::RegexNotIMatch, lit(".*")))?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r#"
Filter: test.a = Utf8("")
TableScan: test
"#
)
}
#[test]
fn simplify_not_in_list() -> Result<()> {
let schema = Schema::new(vec![Field::new("a", DataType::Utf8, false)]);
let table_scan = table_scan(Some("test"), &schema, None)?.build()?;
let plan = LogicalPlanBuilder::from(table_scan)
.filter(col("a").in_list(vec![lit("a"), lit("b")], false).not())?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r#"
Filter: test.a != Utf8("a") AND test.a != Utf8("b")
TableScan: test
"#
)
}
#[test]
fn simplify_not_not_in_list() -> Result<()> {
let schema = Schema::new(vec![Field::new("a", DataType::Utf8, false)]);
let table_scan = table_scan(Some("test"), &schema, None)?.build()?;
let plan = LogicalPlanBuilder::from(table_scan)
.filter(
col("a")
.in_list(vec![lit("a"), lit("b")], false)
.not()
.not(),
)?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r#"
Filter: test.a = Utf8("a") OR test.a = Utf8("b")
TableScan: test
"#
)
}
#[test]
fn simplify_not_exists() -> Result<()> {
let schema = Schema::new(vec![Field::new("a", DataType::Utf8, false)]);
let table_scan = table_scan(Some("test"), &schema, None)?.build()?;
let table_scan2 =
datafusion_expr::table_scan(Some("test2"), &schema, None)?.build()?;
let plan = LogicalPlanBuilder::from(table_scan)
.filter(
exists(Arc::new(LogicalPlanBuilder::from(table_scan2).build()?)).not(),
)?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: NOT EXISTS (<subquery>)
Subquery:
TableScan: test2
TableScan: test
"
)
}
#[test]
fn simplify_not_not_exists() -> Result<()> {
let schema = Schema::new(vec![Field::new("a", DataType::Utf8, false)]);
let table_scan = table_scan(Some("test"), &schema, None)?.build()?;
let table_scan2 =
datafusion_expr::table_scan(Some("test2"), &schema, None)?.build()?;
let plan = LogicalPlanBuilder::from(table_scan)
.filter(
exists(Arc::new(LogicalPlanBuilder::from(table_scan2).build()?))
.not()
.not(),
)?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: EXISTS (<subquery>)
Subquery:
TableScan: test2
TableScan: test
"
)
}
#[test]
fn simplify_not_in_subquery() -> Result<()> {
let schema = Schema::new(vec![Field::new("a", DataType::Utf8, false)]);
let table_scan = table_scan(Some("test"), &schema, None)?.build()?;
let table_scan2 =
datafusion_expr::table_scan(Some("test2"), &schema, None)?.build()?;
let plan = LogicalPlanBuilder::from(table_scan)
.filter(
in_subquery(
col("a"),
Arc::new(LogicalPlanBuilder::from(table_scan2).build()?),
)
.not(),
)?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.a NOT IN (<subquery>)
Subquery:
TableScan: test2
TableScan: test
"
)
}
#[test]
fn simplify_not_not_in_subquery() -> Result<()> {
let schema = Schema::new(vec![Field::new("a", DataType::Utf8, false)]);
let table_scan = table_scan(Some("test"), &schema, None)?.build()?;
let table_scan2 =
datafusion_expr::table_scan(Some("test2"), &schema, None)?.build()?;
let plan = LogicalPlanBuilder::from(table_scan)
.filter(
in_subquery(
col("a"),
Arc::new(LogicalPlanBuilder::from(table_scan2).build()?),
)
.not()
.not(),
)?
.build()?;
assert_optimized_plan_equal!(
plan,
@ r"
Filter: test.a IN (<subquery>)
Subquery:
TableScan: test2
TableScan: test
"
)
}
}