andygrove commented on code in PR #2885:
URL: https://github.com/apache/arrow-datafusion/pull/2885#discussion_r919308672


##########
datafusion/optimizer/src/decorrelate_where_in.rs:
##########
@@ -0,0 +1,329 @@
+// 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 crate::utils::{exprs_to_join_cols, find_join_exprs, split_conjunction};
+use crate::{utils, OptimizerConfig, OptimizerRule};
+use datafusion_common::{Column};
+use datafusion_expr::logical_plan::{Filter, JoinType, Subquery};
+use datafusion_expr::{combine_filters, Expr, LogicalPlan, LogicalPlanBuilder};
+use std::sync::Arc;
+use log::debug;
+
+#[derive(Default)]
+pub struct DecorrelateWhereIn {}
+
+impl DecorrelateWhereIn {
+    #[allow(missing_docs)]
+    pub fn new() -> Self {
+        Self {}
+    }
+
+    /// Finds expressions that have a where in subquery
+    ///
+    /// # Arguments
+    ///
+    /// * `predicate` - A conjunction to split and search
+    ///
+    /// Returns a tuple of tuples ((expressions, subqueries, negated), 
remaining expressions)
+    fn extract_subquery_exprs(
+        &self,
+        predicate: &Expr,
+        optimizer_config: &mut OptimizerConfig,
+    ) -> datafusion_common::Result<(Vec<SubqueryInfo>, Vec<Expr>)> {
+        let mut filters = vec![];
+        split_conjunction(predicate, &mut filters); // TODO: disjunctions
+
+        let mut subqueries = vec![];
+        let mut others = vec![];
+        for it in filters.iter() {
+            match it {
+                Expr::InSubquery {
+                    expr,
+                    subquery,
+                    negated,
+                } => {
+                    let subquery =
+                        self.optimize(&*subquery.subquery, optimizer_config)?;
+                    let subquery = Arc::new(subquery);
+                    let subquery = Subquery { subquery };
+                    let subquery = SubqueryInfo::new(subquery.clone(), 
(**expr).clone(), *negated);
+                    subqueries.push(subquery);
+                    // TODO: if subquery doesn't get optimized, optimized 
children are lost
+                }
+                _ => others.push((*it).clone())
+            }
+        }
+
+        Ok((subqueries, others))
+    }
+}
+
+impl OptimizerRule for DecorrelateWhereIn {
+    fn optimize(
+        &self,
+        plan: &LogicalPlan,
+        optimizer_config: &mut OptimizerConfig,
+    ) -> datafusion_common::Result<LogicalPlan> {
+        match plan {
+            LogicalPlan::Filter(Filter {
+                                    predicate,
+                                    input: filter_input,
+                                }) => {
+                // Apply optimizer rule to current input
+                let optimized_input = self.optimize(filter_input, 
optimizer_config)?;
+
+                let (subqueries, other_exprs) = 
self.extract_subquery_exprs(predicate, optimizer_config)?;
+                let optimized_plan = LogicalPlan::Filter(Filter {
+                    predicate: predicate.clone(),
+                    input: Arc::new(optimized_input),
+                });
+                if subqueries.is_empty() {
+                    // regular filter, no subquery exists clause here
+                    return Ok(optimized_plan);
+                }
+
+                // iterate through all exists clauses in predicate, turning 
each into a join
+                let mut cur_input = (**filter_input).clone();
+                for subquery in subqueries {
+                    let res =
+                        optimize_where_in(&subquery, &cur_input, 
&other_exprs)?;
+                    if let Some(res) = res {
+                        cur_input = res
+                    }
+                }
+                Ok(cur_input)
+            }
+            _ => {
+                // Apply the optimization to all inputs of the plan
+                utils::optimize_children(self, plan, optimizer_config)
+            }
+        }
+    }
+
+    fn name(&self) -> &str {
+        "decorrelate_where_in"
+    }
+}
+
+fn optimize_where_in(
+    query_info: &SubqueryInfo,
+    outer_input: &LogicalPlan,
+    outer_other_exprs: &[Expr],
+) -> datafusion_common::Result<Option<LogicalPlan>> {
+    // where in queries should always project a single expression
+    let proj = match &*query_info.query.subquery {
+        LogicalPlan::Projection(it) => it,
+        _ => return Ok(None),
+    };
+    let mut subqry_input = proj.input.clone();
+    let proj = match proj.expr.as_slice() {
+        [it] => it,
+        _ => return Ok(None), // in subquery means only 1 expr
+    };
+    let subquery_col = match proj {
+        Expr::Column(it) => Column::from(it.flat_name().as_str()),
+        _ => return Ok(None), // only operate on columns for now, not 
arbitrary expressions
+    };
+
+    // Grab column names to join on
+    let outer_col = match &query_info.where_in_expr {
+        Expr::Column(it) => Column::from(it.flat_name().as_str()),
+        _ => return Ok(None), // only operate on columns for now, not 
arbitrary expressions
+    };
+
+    // If subquery is correlated, grab necessary information
+    let mut subqry_cols = vec![];
+    let mut outer_cols = vec![];
+    let mut join_filters = None;
+    let mut other_subqry_exprs = vec![];
+    match (*subqry_input).clone() {
+        LogicalPlan::Filter(subqry_filter) => {
+            subqry_input = subqry_filter.input.clone();
+            
+            // split into filters
+            let mut subqry_filter_exprs = vec![];
+            split_conjunction(&subqry_filter.predicate, &mut 
subqry_filter_exprs);
+
+            // Grab column names to join on
+            let (col_exprs, other_exprs) =
+                find_join_exprs(subqry_filter_exprs, 
subqry_filter.input.schema());
+            (outer_cols, subqry_cols, join_filters) =
+                exprs_to_join_cols(&col_exprs, subqry_filter.input.schema(), 
false)?;
+            other_subqry_exprs = other_exprs;
+        },
+        _ => {}
+    };
+
+    let subqry_cols: Vec<_> = 
vec![subquery_col].iter().cloned().chain(subqry_cols).collect();
+    let outer_cols: Vec<_> = 
vec![outer_col].iter().cloned().chain(outer_cols).collect();
+
+    // build subquery side of join - the thing the subquery was querying
+    let subqry_plan = LogicalPlanBuilder::from((*subqry_input).clone());
+    let subqry_plan = if let Some(expr) = combine_filters(&other_subqry_exprs) 
{
+        subqry_plan.filter(expr)? // if the subquery had additional 
expressions, restore them
+    } else {
+        subqry_plan
+    };
+    let projection: Vec<_> = subqry_cols.iter().map(|it| 
Expr::Column(it.clone())).collect();
+    let subqry_plan = subqry_plan
+        .project(projection)?
+        .build()?;
+
+    let join_keys = (outer_cols, subqry_cols.clone());
+
+    // join our sub query into the main plan
+    let new_plan = LogicalPlanBuilder::from(outer_input.clone());
+    let new_plan = if query_info.negated {
+        new_plan.join(&subqry_plan, JoinType::Anti, join_keys, join_filters)?
+    } else {
+        new_plan.join(&subqry_plan, JoinType::Semi, join_keys, join_filters)?
+    };
+    let new_plan = if let Some(expr) = combine_filters(outer_other_exprs) {
+        new_plan.filter(expr)? // if the main query had additional 
expressions, restore them
+    } else {
+        new_plan
+    };
+
+    let result = new_plan.build()?;
+    debug!("where in optimized: {}", result.display_indent());
+    Ok(Some(result))
+}
+
+struct SubqueryInfo {
+    query: Subquery,
+    where_in_expr: Expr,
+    negated: bool
+}
+
+impl SubqueryInfo {
+    pub fn new(query: Subquery, expr: Expr, negated: bool) -> Self {
+        Self { query, where_in_expr: expr, negated }
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::test::*;
+    use datafusion_expr::{col, in_subquery, logical_plan::LogicalPlanBuilder, 
not_in_subquery, Operator};
+    use datafusion_common::{Result};
+
+    fn assert_optimized_plan_eq(plan: &LogicalPlan, expected: &str) {
+        let rule = DecorrelateWhereIn::new();
+        let optimized_plan = rule
+            .optimize(plan, &mut OptimizerConfig::new())
+            .expect("failed to optimize plan");
+        let formatted_plan = format!("{}", 
optimized_plan.display_indent_schema());
+        assert_eq!(formatted_plan, expected);
+    }
+
+    fn test_subquery_with_name(name: &str) -> Result<Arc<LogicalPlan>> {
+        let table_scan = test_table_scan_with_name(name)?;
+        Ok(Arc::new(
+            LogicalPlanBuilder::from(table_scan)
+                .project(vec![col("c")])?
+                .build()?,
+        ))
+    }
+
+    /// Test for correlated IN subquery filter
+    #[test]
+    fn in_subquery_correlated() -> Result<()> {
+        let sq = Arc::new(
+            LogicalPlanBuilder::from(test_table_scan_with_name("sq")?)
+                .filter(Expr::BinaryExpr {
+                    left: Box::new(Expr::Column(Column::from("test.a"))),
+                    op: Operator::Eq,
+                    right: Box::new(Expr::Column(Column::from("sq.a")))
+                })?

Review Comment:
   ```suggestion
                   .filter(col("test.a").eq(col("sq.a")))?
   ```



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