polars_sql/

context.rs

use std::ops::Deref;

use polars_core::frame::row::Row;
use polars_core::prelude::*;
use polars_lazy::prelude::*;
use polars_ops::frame::JoinCoalesce;
use polars_plan::dsl::function_expr::StructFunction;
use polars_plan::prelude::*;
use polars_utils::format_pl_smallstr;
use sqlparser::ast::{
    BinaryOperator, CreateTable, Delete, Distinct, ExcludeSelectItem, Expr as SQLExpr, FromTable,
    FunctionArg, GroupByExpr, Ident, JoinConstraint, JoinOperator, ObjectName, ObjectType, Offset,
    OrderBy, Query, RenameSelectItem, Select, SelectItem, SetExpr, SetOperator, SetQuantifier,
    Statement, TableAlias, TableFactor, TableWithJoins, UnaryOperator, Value as SQLValue, Values,
    WildcardAdditionalOptions,
};
use sqlparser::dialect::GenericDialect;
use sqlparser::parser::{Parser, ParserOptions};

use crate::function_registry::{DefaultFunctionRegistry, FunctionRegistry};
use crate::sql_expr::{
    parse_sql_array, parse_sql_expr, resolve_compound_identifier, to_sql_interface_err,
};
use crate::table_functions::PolarsTableFunctions;

#[derive(Clone)]
pub struct TableInfo {
    pub(crate) frame: LazyFrame,
    pub(crate) name: PlSmallStr,
    pub(crate) schema: Arc<Schema>,
}

struct SelectModifiers {
    exclude: PlHashSet<String>,                // SELECT * EXCLUDE
    ilike: Option<regex::Regex>,               // SELECT * ILIKE
    rename: PlHashMap<PlSmallStr, PlSmallStr>, // SELECT * RENAME
    replace: Vec<Expr>,                        // SELECT * REPLACE
}
impl SelectModifiers {
    fn matches_ilike(&self, s: &str) -> bool {
        match &self.ilike {
            Some(rx) => rx.is_match(s),
            None => true,
        }
    }
    fn renamed_cols(&self) -> Vec<Expr> {
        self.rename
            .iter()
            .map(|(before, after)| col(before.clone()).alias(after.clone()))
            .collect()
    }
}

/// The SQLContext is the main entry point for executing SQL queries.
#[derive(Clone)]
pub struct SQLContext {
    pub(crate) table_map: PlHashMap<String, LazyFrame>,
    pub(crate) function_registry: Arc<dyn FunctionRegistry>,
    pub(crate) lp_arena: Arena<IR>,
    pub(crate) expr_arena: Arena<AExpr>,

    cte_map: PlHashMap<String, LazyFrame>,
    table_aliases: PlHashMap<String, String>,
    joined_aliases: PlHashMap<String, PlHashMap<String, String>>,
}

impl Default for SQLContext {
    fn default() -> Self {
        Self {
            function_registry: Arc::new(DefaultFunctionRegistry {}),
            table_map: Default::default(),
            cte_map: Default::default(),
            table_aliases: Default::default(),
            joined_aliases: Default::default(),
            lp_arena: Default::default(),
            expr_arena: Default::default(),
        }
    }
}

impl SQLContext {
    /// Create a new SQLContext.
    /// ```rust
    /// # use polars_sql::SQLContext;
    /// # fn main() {
    /// let ctx = SQLContext::new();
    /// # }
    /// ```
    pub fn new() -> Self {
        Self::default()
    }

    /// Get the names of all registered tables, in sorted order.
    pub fn get_tables(&self) -> Vec<String> {
        let mut tables = Vec::from_iter(self.table_map.keys().cloned());
        tables.sort_unstable();
        tables
    }

    /// Register a [`LazyFrame`] as a table in the SQLContext.
    /// ```rust
    /// # use polars_sql::SQLContext;
    /// # use polars_core::prelude::*;
    /// # use polars_lazy::prelude::*;
    /// # fn main() {
    ///
    /// let mut ctx = SQLContext::new();
    /// let df = df! {
    ///    "a" =>  [1, 2, 3],
    /// }.unwrap().lazy();
    ///
    /// ctx.register("df", df);
    /// # }
    ///```
    pub fn register(&mut self, name: &str, lf: LazyFrame) {
        self.table_map.insert(name.to_owned(), lf);
    }

    /// Unregister a [`LazyFrame`] table from the [`SQLContext`].
    pub fn unregister(&mut self, name: &str) {
        self.table_map.remove(&name.to_owned());
    }

    /// Execute a SQL query, returning a [`LazyFrame`].
    /// ```rust
    /// # use polars_sql::SQLContext;
    /// # use polars_core::prelude::*;
    /// # use polars_lazy::prelude::*;
    /// # fn main() {
    ///
    /// let mut ctx = SQLContext::new();
    /// let df = df! {
    ///    "a" =>  [1, 2, 3],
    /// }
    /// .unwrap();
    ///
    /// ctx.register("df", df.clone().lazy());
    /// let sql_df = ctx.execute("SELECT * FROM df").unwrap().collect().unwrap();
    /// assert!(sql_df.equals(&df));
    /// # }
    ///```
    pub fn execute(&mut self, query: &str) -> PolarsResult<LazyFrame> {
        let mut parser = Parser::new(&GenericDialect);
        parser = parser.with_options(ParserOptions {
            trailing_commas: true,
            ..Default::default()
        });

        let ast = parser
            .try_with_sql(query)
            .map_err(to_sql_interface_err)?
            .parse_statements()
            .map_err(to_sql_interface_err)?;

        polars_ensure!(ast.len() == 1, SQLInterface: "one (and only one) statement can be parsed at a time");
        let res = self.execute_statement(ast.first().unwrap())?;

        // Ensure the result uses the proper arenas.
        // This will instantiate new arenas with a new version.
        let lp_arena = std::mem::take(&mut self.lp_arena);
        let expr_arena = std::mem::take(&mut self.expr_arena);
        res.set_cached_arena(lp_arena, expr_arena);

        // Every execution should clear the statement-level maps.
        self.cte_map.clear();
        self.table_aliases.clear();
        self.joined_aliases.clear();

        Ok(res)
    }

    /// Add a function registry to the SQLContext.
    /// The registry provides the ability to add custom functions to the SQLContext.
    pub fn with_function_registry(mut self, function_registry: Arc<dyn FunctionRegistry>) -> Self {
        self.function_registry = function_registry;
        self
    }

    /// Get the function registry of the SQLContext
    pub fn registry(&self) -> &Arc<dyn FunctionRegistry> {
        &self.function_registry
    }

    /// Get a mutable reference to the function registry of the SQLContext
    pub fn registry_mut(&mut self) -> &mut dyn FunctionRegistry {
        Arc::get_mut(&mut self.function_registry).unwrap()
    }
}

impl SQLContext {
    pub(crate) fn execute_statement(&mut self, stmt: &Statement) -> PolarsResult<LazyFrame> {
        let ast = stmt;
        Ok(match ast {
            Statement::Query(query) => self.execute_query(query)?,
            stmt @ Statement::ShowTables { .. } => self.execute_show_tables(stmt)?,
            stmt @ Statement::CreateTable { .. } => self.execute_create_table(stmt)?,
            stmt @ Statement::Drop {
                object_type: ObjectType::Table,
                ..
            } => self.execute_drop_table(stmt)?,
            stmt @ Statement::Explain { .. } => self.execute_explain(stmt)?,
            stmt @ Statement::Truncate { .. } => self.execute_truncate_table(stmt)?,
            stmt @ Statement::Delete { .. } => self.execute_delete_from_table(stmt)?,
            _ => polars_bail!(
                SQLInterface: "statement type is not supported:\n{:?}", ast,
            ),
        })
    }

    pub(crate) fn execute_query(&mut self, query: &Query) -> PolarsResult<LazyFrame> {
        self.register_ctes(query)?;
        self.execute_query_no_ctes(query)
    }

    pub(crate) fn execute_query_no_ctes(&mut self, query: &Query) -> PolarsResult<LazyFrame> {
        let lf = self.process_query(&query.body, query)?;
        self.process_limit_offset(lf, &query.limit, &query.offset)
    }

    pub(crate) fn get_frame_schema(&mut self, frame: &mut LazyFrame) -> PolarsResult<SchemaRef> {
        frame.schema_with_arenas(&mut self.lp_arena, &mut self.expr_arena)
    }

    pub(super) fn get_table_from_current_scope(&self, name: &str) -> Option<LazyFrame> {
        // Resolve the table name in the current scope; multi-stage fallback
        // * table name → cte name
        // * table alias → cte alias
        self.table_map
            .get(name)
            .or_else(|| self.cte_map.get(name))
            .or_else(|| {
                self.table_aliases.get(name).and_then(|alias| {
                    self.table_map
                        .get(alias.as_str())
                        .or_else(|| self.cte_map.get(alias.as_str()))
                })
            })
            .cloned()
    }

    /// Execute a query in an isolated context. This prevents subqueries from mutating
    /// arenas and other context state. Returns both the LazyFrame *and* its associated
    /// Schema (so that the correct arenas are used when determining schema).
    pub(crate) fn execute_isolated<F>(&mut self, query: F) -> PolarsResult<(LazyFrame, SchemaRef)>
    where
        F: FnOnce(&mut Self) -> PolarsResult<LazyFrame>,
    {
        // Save key state (arenas and lookups)
        let (joined_aliases, table_aliases, lp_arena, expr_arena, table_map) = (
            // "take" to ensure subqueries start with clean state
            std::mem::take(&mut self.joined_aliases),
            std::mem::take(&mut self.table_aliases),
            std::mem::take(&mut self.lp_arena),
            std::mem::take(&mut self.expr_arena),
            // "clone" to allow subqueries to see registered tables
            self.table_map.clone(),
        );

        // Execute query with clean state (eg: nested/subquery)
        let mut lf = query(self)?;
        let schema = self.get_frame_schema(&mut lf)?;

        // Restore saved state
        lf.set_cached_arena(
            std::mem::replace(&mut self.lp_arena, lp_arena),
            std::mem::replace(&mut self.expr_arena, expr_arena),
        );
        self.joined_aliases = joined_aliases;
        self.table_aliases = table_aliases;
        self.table_map = table_map;

        Ok((lf, schema))
    }

    fn expr_or_ordinal(
        &mut self,
        e: &SQLExpr,
        exprs: &[Expr],
        selected: Option<&[Expr]>,
        schema: Option<&Schema>,
        clause: &str,
    ) -> PolarsResult<Expr> {
        match e {
            SQLExpr::UnaryOp {
                op: UnaryOperator::Minus,
                expr,
            } if matches!(**expr, SQLExpr::Value(SQLValue::Number(_, _))) => {
                if let SQLExpr::Value(SQLValue::Number(ref idx, _)) = **expr {
                    Err(polars_err!(
                    SQLSyntax:
                    "negative ordinal values are invalid for {}; found -{}",
                    clause,
                    idx
                    ))
                } else {
                    unreachable!()
                }
            },
            SQLExpr::Value(SQLValue::Number(idx, _)) => {
                // note: sql queries are 1-indexed
                let idx = idx.parse::<usize>().map_err(|_| {
                    polars_err!(
                        SQLSyntax:
                        "negative ordinal values are invalid for {}; found {}",
                        clause,
                        idx
                    )
                })?;
                // note: "selected" cols represent final projection order, so we use those for
                // ordinal resolution. "exprs" may include cols that are subsequently dropped.
                let cols = if let Some(cols) = selected {
                    cols
                } else {
                    exprs
                };
                Ok(cols
                    .get(idx - 1)
                    .ok_or_else(|| {
                        polars_err!(
                            SQLInterface:
                            "{} ordinal value must refer to a valid column; found {}",
                            clause,
                            idx
                        )
                    })?
                    .clone())
            },
            SQLExpr::Value(v) => Err(polars_err!(
                SQLSyntax:
                "{} requires a valid expression or positive ordinal; found {}", clause, v,
            )),
            _ => parse_sql_expr(e, self, schema),
        }
    }

    pub(super) fn resolve_name(&self, tbl_name: &str, column_name: &str) -> String {
        if let Some(aliases) = self.joined_aliases.get(tbl_name) {
            if let Some(name) = aliases.get(column_name) {
                return name.to_string();
            }
        }
        column_name.to_string()
    }

    fn process_query(&mut self, expr: &SetExpr, query: &Query) -> PolarsResult<LazyFrame> {
        match expr {
            SetExpr::Select(select_stmt) => self.execute_select(select_stmt, query),
            SetExpr::Query(query) => self.execute_query_no_ctes(query),
            SetExpr::SetOperation {
                op: SetOperator::Union,
                set_quantifier,
                left,
                right,
            } => self.process_union(left, right, set_quantifier, query),

            #[cfg(feature = "semi_anti_join")]
            SetExpr::SetOperation {
                op: SetOperator::Intersect | SetOperator::Except,
                set_quantifier,
                left,
                right,
            } => self.process_except_intersect(left, right, set_quantifier, query),

            SetExpr::Values(Values {
                explicit_row: _,
                rows,
            }) => self.process_values(rows),

            SetExpr::Table(tbl) => {
                if tbl.table_name.is_some() {
                    let table_name = tbl.table_name.as_ref().unwrap();
                    self.get_table_from_current_scope(table_name)
                        .ok_or_else(|| {
                            polars_err!(
                                SQLInterface: "no table or alias named '{}' found",
                                tbl
                            )
                        })
                } else {
                    polars_bail!(SQLInterface: "'TABLE' requires valid table name")
                }
            },
            op => {
                polars_bail!(SQLInterface: "'{}' operation is currently unsupported", op)
            },
        }
    }

    #[cfg(feature = "semi_anti_join")]
    fn process_except_intersect(
        &mut self,
        left: &SetExpr,
        right: &SetExpr,
        quantifier: &SetQuantifier,
        query: &Query,
    ) -> PolarsResult<LazyFrame> {
        let (join_type, op_name) = match *query.body {
            SetExpr::SetOperation {
                op: SetOperator::Except,
                ..
            } => (JoinType::Anti, "EXCEPT"),
            _ => (JoinType::Semi, "INTERSECT"),
        };
        let mut lf = self.process_query(left, query)?;
        let mut rf = self.process_query(right, query)?;
        let lf_schema = self.get_frame_schema(&mut lf)?;

        let lf_cols: Vec<_> = lf_schema.iter_names_cloned().map(col).collect();
        let rf_cols = match quantifier {
            SetQuantifier::ByName => None,
            SetQuantifier::Distinct | SetQuantifier::None => {
                let rf_schema = self.get_frame_schema(&mut rf)?;
                let rf_cols: Vec<_> = rf_schema.iter_names_cloned().map(col).collect();
                if lf_cols.len() != rf_cols.len() {
                    polars_bail!(SQLInterface: "{} requires equal number of columns in each table (use '{} BY NAME' to combine mismatched tables)", op_name, op_name)
                }
                Some(rf_cols)
            },
            _ => {
                polars_bail!(SQLInterface: "'{} {}' is not supported", op_name, quantifier.to_string())
            },
        };
        let join = lf.join_builder().with(rf).how(join_type).join_nulls(true);
        let joined_tbl = match rf_cols {
            Some(rf_cols) => join.left_on(lf_cols).right_on(rf_cols).finish(),
            None => join.on(lf_cols).finish(),
        };
        Ok(joined_tbl.unique(None, UniqueKeepStrategy::Any))
    }

    fn process_union(
        &mut self,
        left: &SetExpr,
        right: &SetExpr,
        quantifier: &SetQuantifier,
        query: &Query,
    ) -> PolarsResult<LazyFrame> {
        let mut lf = self.process_query(left, query)?;
        let mut rf = self.process_query(right, query)?;
        let opts = UnionArgs {
            parallel: true,
            to_supertypes: true,
            ..Default::default()
        };
        match quantifier {
            // UNION [ALL | DISTINCT]
            SetQuantifier::All | SetQuantifier::Distinct | SetQuantifier::None => {
                let lf_schema = self.get_frame_schema(&mut lf)?;
                let rf_schema = self.get_frame_schema(&mut rf)?;
                if lf_schema.len() != rf_schema.len() {
                    polars_bail!(SQLInterface: "UNION requires equal number of columns in each table (use 'UNION BY NAME' to combine mismatched tables)")
                }
                let concatenated = polars_lazy::dsl::concat(vec![lf, rf], opts);
                match quantifier {
                    SetQuantifier::Distinct | SetQuantifier::None => {
                        concatenated.map(|lf| lf.unique(None, UniqueKeepStrategy::Any))
                    },
                    _ => concatenated,
                }
            },
            // UNION ALL BY NAME
            #[cfg(feature = "diagonal_concat")]
            SetQuantifier::AllByName => concat_lf_diagonal(vec![lf, rf], opts),
            // UNION [DISTINCT] BY NAME
            #[cfg(feature = "diagonal_concat")]
            SetQuantifier::ByName | SetQuantifier::DistinctByName => {
                let concatenated = concat_lf_diagonal(vec![lf, rf], opts);
                concatenated.map(|lf| lf.unique(None, UniqueKeepStrategy::Any))
            },
            #[allow(unreachable_patterns)]
            _ => polars_bail!(SQLInterface: "'UNION {}' is not currently supported", quantifier),
        }
    }

    fn process_values(&mut self, values: &[Vec<SQLExpr>]) -> PolarsResult<LazyFrame> {
        let frame_rows: Vec<Row> = values.iter().map(|row| {
            let row_data: Result<Vec<_>, _> = row.iter().map(|expr| {
                let expr = parse_sql_expr(expr, self, None)?;
                match expr {
                    Expr::Literal(value) => {
                        value.to_any_value()
                            .ok_or_else(|| polars_err!(SQLInterface: "invalid literal value: {:?}", value))
                            .map(|av| av.into_static())
                    },
                    _ => polars_bail!(SQLInterface: "VALUES clause expects literals; found {}", expr),
                }
            }).collect();
            row_data.map(Row::new)
        }).collect::<Result<_, _>>()?;

        Ok(DataFrame::from_rows(frame_rows.as_ref())?.lazy())
    }

    // EXPLAIN SELECT * FROM DF
    fn execute_explain(&mut self, stmt: &Statement) -> PolarsResult<LazyFrame> {
        match stmt {
            Statement::Explain { statement, .. } => {
                let lf = self.execute_statement(statement)?;
                let plan = lf.describe_optimized_plan()?;
                let plan = plan
                    .split('\n')
                    .collect::<Series>()
                    .with_name(PlSmallStr::from_static("Logical Plan"))
                    .into_column();
                let df = DataFrame::new(vec![plan])?;
                Ok(df.lazy())
            },
            _ => polars_bail!(SQLInterface: "unexpected statement type; expected EXPLAIN"),
        }
    }

    // SHOW TABLES
    fn execute_show_tables(&mut self, _: &Statement) -> PolarsResult<LazyFrame> {
        let tables = Column::new("name".into(), self.get_tables());
        let df = DataFrame::new(vec![tables])?;
        Ok(df.lazy())
    }

    // DROP TABLE <tbl>
    fn execute_drop_table(&mut self, stmt: &Statement) -> PolarsResult<LazyFrame> {
        match stmt {
            Statement::Drop { names, .. } => {
                names.iter().for_each(|name| {
                    self.table_map.remove(&name.to_string());
                });
                Ok(DataFrame::empty().lazy())
            },
            _ => polars_bail!(SQLInterface: "unexpected statement type; expected DROP"),
        }
    }

    // DELETE FROM <tbl> [WHERE ...]
    fn execute_delete_from_table(&mut self, stmt: &Statement) -> PolarsResult<LazyFrame> {
        if let Statement::Delete(Delete {
            tables,
            from,
            using,
            selection,
            returning,
            order_by,
            limit,
        }) = stmt
        {
            if !tables.is_empty()
                || using.is_some()
                || returning.is_some()
                || limit.is_some()
                || !order_by.is_empty()
            {
                let error_message = match () {
                    _ if !tables.is_empty() => "DELETE expects exactly one table name",
                    _ if using.is_some() => "DELETE does not support the USING clause",
                    _ if returning.is_some() => "DELETE does not support the RETURNING clause",
                    _ if limit.is_some() => "DELETE does not support the LIMIT clause",
                    _ if !order_by.is_empty() => "DELETE does not support the ORDER BY clause",
                    _ => unreachable!(),
                };
                polars_bail!(SQLInterface: error_message);
            }
            let from_tables = match &from {
                FromTable::WithFromKeyword(from) => from,
                FromTable::WithoutKeyword(from) => from,
            };
            if from_tables.len() > 1 {
                polars_bail!(SQLInterface: "cannot have multiple tables in DELETE FROM (found {})", from_tables.len())
            }
            let tbl_expr = from_tables.first().unwrap();
            if !tbl_expr.joins.is_empty() {
                polars_bail!(SQLInterface: "DELETE does not support table JOINs")
            }
            let (_, mut lf) = self.get_table(&tbl_expr.relation)?;
            if selection.is_none() {
                // no WHERE clause; equivalent to TRUNCATE (drop all rows)
                Ok(DataFrame::empty_with_schema(
                    lf.schema_with_arenas(&mut self.lp_arena, &mut self.expr_arena)
                        .unwrap()
                        .as_ref(),
                )
                .lazy())
            } else {
                // apply constraint as inverted filter (drops rows matching the selection)
                Ok(self.process_where(lf.clone(), selection, true, None)?)
            }
        } else {
            polars_bail!(SQLInterface: "unexpected statement type; expected DELETE")
        }
    }

    // TRUNCATE <tbl>
    fn execute_truncate_table(&mut self, stmt: &Statement) -> PolarsResult<LazyFrame> {
        if let Statement::Truncate {
            table_names,
            partitions,
            ..
        } = stmt
        {
            match partitions {
                None => {
                    if table_names.len() != 1 {
                        polars_bail!(SQLInterface: "TRUNCATE expects exactly one table name; found {}", table_names.len())
                    }
                    let tbl = table_names[0].to_string();
                    if let Some(lf) = self.table_map.get_mut(&tbl) {
                        *lf = DataFrame::empty_with_schema(
                            lf.schema_with_arenas(&mut self.lp_arena, &mut self.expr_arena)
                                .unwrap()
                                .as_ref(),
                        )
                        .lazy();
                        Ok(lf.clone())
                    } else {
                        polars_bail!(SQLInterface: "table '{}' does not exist", tbl);
                    }
                },
                _ => {
                    polars_bail!(SQLInterface: "TRUNCATE does not support use of 'partitions'")
                },
            }
        } else {
            polars_bail!(SQLInterface: "unexpected statement type; expected TRUNCATE")
        }
    }

    fn register_cte(&mut self, name: &str, lf: LazyFrame) {
        self.cte_map.insert(name.to_owned(), lf);
    }

    fn register_ctes(&mut self, query: &Query) -> PolarsResult<()> {
        if let Some(with) = &query.with {
            if with.recursive {
                polars_bail!(SQLInterface: "recursive CTEs are not supported")
            }
            for cte in &with.cte_tables {
                let cte_name = cte.alias.name.value.clone();
                let mut lf = self.execute_query(&cte.query)?;
                lf = self.rename_columns_from_table_alias(lf, &cte.alias)?;
                self.register_cte(&cte_name, lf);
            }
        }
        Ok(())
    }

    /// execute the 'FROM' part of the query
    fn execute_from_statement(&mut self, tbl_expr: &TableWithJoins) -> PolarsResult<LazyFrame> {
        let (l_name, mut lf) = self.get_table(&tbl_expr.relation)?;
        if !tbl_expr.joins.is_empty() {
            for join in &tbl_expr.joins {
                let (r_name, mut rf) = self.get_table(&join.relation)?;
                if r_name.is_empty() {
                    // Require non-empty to avoid duplicate column errors from nested self-joins.
                    polars_bail!(
                        SQLInterface:
                        "cannot join on unnamed relation; please provide an alias"
                    )
                }
                let left_schema = self.get_frame_schema(&mut lf)?;
                let right_schema = self.get_frame_schema(&mut rf)?;

                lf = match &join.join_operator {
                    op @ (JoinOperator::FullOuter(constraint)
                    | JoinOperator::LeftOuter(constraint)
                    | JoinOperator::RightOuter(constraint)
                    | JoinOperator::Inner(constraint)
                    | JoinOperator::Anti(constraint)
                    | JoinOperator::Semi(constraint)
                    | JoinOperator::LeftAnti(constraint)
                    | JoinOperator::LeftSemi(constraint)
                    | JoinOperator::RightAnti(constraint)
                    | JoinOperator::RightSemi(constraint)) => {
                        let (lf, rf) = match op {
                            JoinOperator::RightAnti(_) | JoinOperator::RightSemi(_) => (rf, lf),
                            _ => (lf, rf),
                        };
                        self.process_join(
                            &TableInfo {
                                frame: lf,
                                name: (&l_name).into(),
                                schema: left_schema.clone(),
                            },
                            &TableInfo {
                                frame: rf,
                                name: (&r_name).into(),
                                schema: right_schema.clone(),
                            },
                            constraint,
                            match op {
                                JoinOperator::FullOuter(_) => JoinType::Full,
                                JoinOperator::LeftOuter(_) => JoinType::Left,
                                JoinOperator::RightOuter(_) => JoinType::Right,
                                JoinOperator::Inner(_) => JoinType::Inner,
                                #[cfg(feature = "semi_anti_join")]
                                JoinOperator::Anti(_)
                                | JoinOperator::LeftAnti(_)
                                | JoinOperator::RightAnti(_) => JoinType::Anti,
                                #[cfg(feature = "semi_anti_join")]
                                JoinOperator::Semi(_)
                                | JoinOperator::LeftSemi(_)
                                | JoinOperator::RightSemi(_) => JoinType::Semi,
                                join_type => polars_bail!(
                                    SQLInterface:
                                    "join type '{:?}' not currently supported",
                                    join_type
                                ),
                            },
                        )?
                    },
                    JoinOperator::CrossJoin => {
                        lf.cross_join(rf, Some(format_pl_smallstr!(":{}", r_name)))
                    },
                    join_type => {
                        polars_bail!(SQLInterface: "join type '{:?}' not currently supported", join_type)
                    },
                };

                // track join-aliased columns so we can resolve them later
                let joined_schema = self.get_frame_schema(&mut lf)?;

                self.joined_aliases.insert(
                    r_name.clone(),
                    right_schema
                        .iter_names()
                        .filter_map(|name| {
                            // col exists in both tables and is aliased in the joined result
                            let aliased_name = format!("{name}:{r_name}");
                            if left_schema.contains(name)
                                && joined_schema.contains(aliased_name.as_str())
                            {
                                Some((name.to_string(), aliased_name))
                            } else {
                                None
                            }
                        })
                        .collect::<PlHashMap<String, String>>(),
                );
            }
        };
        Ok(lf)
    }

    /// Execute the 'SELECT' part of the query.
    fn execute_select(&mut self, select_stmt: &Select, query: &Query) -> PolarsResult<LazyFrame> {
        let mut lf = if select_stmt.from.is_empty() {
            DataFrame::empty().lazy()
        } else {
            // Note: implicit joins need more work to support properly,
            // explicit joins are preferred for now (ref: #16662)
            let from = select_stmt.clone().from;
            if from.len() > 1 {
                polars_bail!(SQLInterface: "multiple tables in FROM clause are not currently supported (found {}); use explicit JOIN syntax instead", from.len())
            }
            self.execute_from_statement(from.first().unwrap())?
        };

        // Filter expression (WHERE clause)
        let schema = self.get_frame_schema(&mut lf)?;
        lf = self.process_where(lf, &select_stmt.selection, false, Some(schema.clone()))?;

        // 'SELECT *' modifiers
        let mut select_modifiers = SelectModifiers {
            ilike: None,
            exclude: PlHashSet::new(),
            rename: PlHashMap::new(),
            replace: vec![],
        };

        let projections = self.column_projections(select_stmt, &schema, &mut select_modifiers)?;

        // Check for "GROUP BY ..." (after determining projections)
        let mut group_by_keys: Vec<Expr> = Vec::new();
        match &select_stmt.group_by {
            // Standard "GROUP BY x, y, z" syntax (also recognising ordinal values)
            GroupByExpr::Expressions(group_by_exprs, modifiers) => {
                if !modifiers.is_empty() {
                    polars_bail!(SQLInterface: "GROUP BY does not support CUBE, ROLLUP, or TOTALS modifiers")
                }
                // translate the group expressions, allowing ordinal values
                group_by_keys = group_by_exprs
                    .iter()
                    .map(|e| {
                        self.expr_or_ordinal(
                            e,
                            &projections,
                            None,
                            Some(schema.deref()),
                            "GROUP BY",
                        )
                    })
                    .collect::<PolarsResult<_>>()?
            },
            // "GROUP BY ALL" syntax; automatically adds expressions that do not contain
            // nested agg/window funcs to the group key (also ignores literals).
            GroupByExpr::All(modifiers) => {
                if !modifiers.is_empty() {
                    polars_bail!(SQLInterface: "GROUP BY does not support CUBE, ROLLUP, or TOTALS modifiers")
                }
                projections.iter().for_each(|expr| match expr {
                    // immediately match the most common cases (col|agg|len|lit, optionally aliased).
                    Expr::Agg(_) | Expr::Len | Expr::Literal(_) => (),
                    Expr::Column(_) => group_by_keys.push(expr.clone()),
                    Expr::Alias(e, _)
                        if matches!(&**e, Expr::Agg(_) | Expr::Len | Expr::Literal(_)) => {},
                    Expr::Alias(e, _) if matches!(&**e, Expr::Column(_)) => {
                        if let Expr::Column(name) = &**e {
                            group_by_keys.push(col(name.clone()));
                        }
                    },
                    _ => {
                        // If not quick-matched, add if no nested agg/window expressions
                        if !has_expr(expr, |e| {
                            matches!(e, Expr::Agg(_))
                                || matches!(e, Expr::Len)
                                || matches!(e, Expr::Window { .. })
                        }) {
                            group_by_keys.push(expr.clone())
                        }
                    },
                });
            },
        };

        lf = if group_by_keys.is_empty() {
            // The 'having' clause is only valid inside 'group by'
            if select_stmt.having.is_some() {
                polars_bail!(SQLSyntax: "HAVING clause not valid outside of GROUP BY; found:\n{:?}", select_stmt.having);
            };

            // Final/selected cols, accounting for 'SELECT *' modifiers
            let mut retained_cols = Vec::with_capacity(projections.len());
            let mut retained_names = Vec::with_capacity(projections.len());
            let have_order_by = query.order_by.is_some();
            // Initialize containing InheritsContext to handle empty projection case.
            let mut projection_heights = ExprSqlProjectionHeightBehavior::InheritsContext;

            // Note: if there is an 'order by' then we project everything (original cols
            // and new projections) and *then* select the final cols; the retained cols
            // are used to ensure a correct final projection. If there's no 'order by',
            // clause then we can project the final column *expressions* directly.
            for p in projections.iter() {
                let name = p.to_field(schema.deref())?.name.to_string();
                if select_modifiers.matches_ilike(&name)
                    && !select_modifiers.exclude.contains(&name)
                {
                    projection_heights |= ExprSqlProjectionHeightBehavior::identify_from_expr(p);

                    retained_cols.push(if have_order_by {
                        col(name.as_str())
                    } else {
                        p.clone()
                    });
                    retained_names.push(col(name));
                }
            }

            // Apply the remaining modifiers and establish the final projection
            if have_order_by {
                // We can safely use `with_columns()` and avoid a join if:
                // * There is already a projection that projects to the table height.
                // * All projection heights inherit from context (e.g. all scalar literals that
                //   are to be broadcasted to table height).
                if projection_heights.contains(ExprSqlProjectionHeightBehavior::MaintainsColumn)
                    || projection_heights == ExprSqlProjectionHeightBehavior::InheritsContext
                {
                    lf = lf.with_columns(projections);
                } else {
                    // We hit this branch if the output height is not guaranteed to match the table
                    // height. E.g.:
                    //
                    // * SELECT COUNT(*) FROM df ORDER BY sort_key;
                    // * SELECT UNNEST(list_col) FROM df ORDER BY sort_key;
                    //
                    // For these cases we truncate / extend the sorting columns with NULLs to match
                    // the output height. We do this by projecting independently and then joining
                    // back the original frame on the row index.
                    const NAME: PlSmallStr = PlSmallStr::from_static("__PL_INDEX");
                    lf = lf
                        .clone()
                        .select(projections)
                        .with_row_index(NAME, None)
                        .join(
                            lf.with_row_index(NAME, None),
                            [col(NAME)],
                            [col(NAME)],
                            JoinArgs {
                                how: JoinType::Left,
                                validation: Default::default(),
                                suffix: None,
                                slice: None,
                                nulls_equal: false,
                                coalesce: Default::default(),
                                maintain_order: polars_ops::frame::MaintainOrderJoin::Left,
                            },
                        );
                }
            }

            if !select_modifiers.replace.is_empty() {
                lf = lf.with_columns(&select_modifiers.replace);
            }
            if !select_modifiers.rename.is_empty() {
                lf = lf.with_columns(select_modifiers.renamed_cols());
            }

            lf = self.process_order_by(lf, &query.order_by, Some(&retained_cols))?;

            // Note: If `have_order_by`, with_columns is already done above.
            if projection_heights == ExprSqlProjectionHeightBehavior::InheritsContext
                && !have_order_by
            {
                // All projections need to be broadcasted to table height, so evaluate in `with_columns()`
                lf = lf.with_columns(retained_cols).select(retained_names);
            } else {
                lf = lf.select(retained_cols);
            }

            if !select_modifiers.rename.is_empty() {
                lf = lf.rename(
                    select_modifiers.rename.keys(),
                    select_modifiers.rename.values(),
                    true,
                );
            };
            lf
        } else {
            lf = self.process_group_by(lf, &group_by_keys, &projections)?;
            lf = self.process_order_by(lf, &query.order_by, None)?;

            // Apply optional 'having' clause, post-aggregation.
            let schema = Some(self.get_frame_schema(&mut lf)?);
            match select_stmt.having.as_ref() {
                Some(expr) => lf.filter(parse_sql_expr(expr, self, schema.as_deref())?),
                None => lf,
            }
        };

        // Apply optional DISTINCT clause.
        lf = match &select_stmt.distinct {
            Some(Distinct::Distinct) => lf.unique_stable(None, UniqueKeepStrategy::Any),
            Some(Distinct::On(exprs)) => {
                // TODO: support exprs in `unique` see https://github.com/pola-rs/polars/issues/5760
                let schema = Some(self.get_frame_schema(&mut lf)?);
                let cols = exprs
                    .iter()
                    .map(|e| {
                        let expr = parse_sql_expr(e, self, schema.as_deref())?;
                        if let Expr::Column(name) = expr {
                            Ok(name)
                        } else {
                            Err(polars_err!(SQLSyntax:"DISTINCT ON only supports column names"))
                        }
                    })
                    .collect::<PolarsResult<Vec<_>>>()?;

                // DISTINCT ON has to apply the ORDER BY before the operation.
                lf = self.process_order_by(lf, &query.order_by, None)?;
                return Ok(lf.unique_stable(
                    Some(Selector::ByName {
                        names: cols.into(),
                        strict: true,
                    }),
                    UniqueKeepStrategy::First,
                ));
            },
            None => lf,
        };
        Ok(lf)
    }

    fn column_projections(
        &mut self,
        select_stmt: &Select,
        schema: &SchemaRef,
        select_modifiers: &mut SelectModifiers,
    ) -> PolarsResult<Vec<Expr>> {
        let parsed_items: PolarsResult<Vec<Vec<Expr>>> = select_stmt
            .projection
            .iter()
            .map(|select_item| match select_item {
                SelectItem::UnnamedExpr(expr) => {
                    Ok(vec![parse_sql_expr(expr, self, Some(schema))?])
                },
                SelectItem::ExprWithAlias { expr, alias } => {
                    let expr = parse_sql_expr(expr, self, Some(schema))?;
                    Ok(vec![expr.alias(PlSmallStr::from_str(alias.value.as_str()))])
                },
                SelectItem::QualifiedWildcard(obj_name, wildcard_options) => self
                    .process_qualified_wildcard(
                        obj_name,
                        wildcard_options,
                        select_modifiers,
                        Some(schema),
                    ),
                SelectItem::Wildcard(wildcard_options) => {
                    let cols = schema
                        .iter_names()
                        .map(|name| col(name.clone()))
                        .collect::<Vec<_>>();

                    self.process_wildcard_additional_options(
                        cols,
                        wildcard_options,
                        select_modifiers,
                        Some(schema),
                    )
                },
            })
            .collect();

        let flattened_exprs: Vec<Expr> = parsed_items?
            .into_iter()
            .flatten()
            .flat_map(|expr| expand_exprs(expr, schema))
            .collect();

        Ok(flattened_exprs)
    }

    fn process_where(
        &mut self,
        mut lf: LazyFrame,
        expr: &Option<SQLExpr>,
        invert_filter: bool,
        schema: Option<SchemaRef>,
    ) -> PolarsResult<LazyFrame> {
        if let Some(expr) = expr {
            let schema = match schema {
                None => self.get_frame_schema(&mut lf)?,
                Some(s) => s,
            };

            // shortcut filter evaluation if given expression is just TRUE or FALSE
            let (all_true, all_false) = match expr {
                SQLExpr::Value(SQLValue::Boolean(b)) => (*b, !*b),
                SQLExpr::BinaryOp { left, op, right } => match (&**left, &**right, op) {
                    (SQLExpr::Value(a), SQLExpr::Value(b), BinaryOperator::Eq) => (a == b, a != b),
                    (SQLExpr::Value(a), SQLExpr::Value(b), BinaryOperator::NotEq) => {
                        (a != b, a == b)
                    },
                    _ => (false, false),
                },
                _ => (false, false),
            };
            if (all_true && !invert_filter) || (all_false && invert_filter) {
                return Ok(lf);
            } else if (all_false && !invert_filter) || (all_true && invert_filter) {
                return Ok(DataFrame::empty_with_schema(schema.as_ref()).lazy());
            }

            // ...otherwise parse and apply the filter as normal
            let mut filter_expression = parse_sql_expr(expr, self, Some(schema).as_deref())?;
            if filter_expression.clone().meta().has_multiple_outputs() {
                filter_expression = all_horizontal([filter_expression])?;
            }
            lf = self.process_subqueries(lf, vec![&mut filter_expression]);
            lf = if invert_filter {
                lf.remove(filter_expression)
            } else {
                lf.filter(filter_expression)
            };
        }
        Ok(lf)
    }

    pub(super) fn process_join(
        &mut self,
        tbl_left: &TableInfo,
        tbl_right: &TableInfo,
        constraint: &JoinConstraint,
        join_type: JoinType,
    ) -> PolarsResult<LazyFrame> {
        let (left_on, right_on) = process_join_constraint(constraint, tbl_left, tbl_right)?;

        let joined = tbl_left
            .frame
            .clone()
            .join_builder()
            .with(tbl_right.frame.clone())
            .left_on(left_on)
            .right_on(right_on)
            .how(join_type)
            .suffix(format!(":{}", tbl_right.name))
            .coalesce(JoinCoalesce::KeepColumns)
            .finish();

        Ok(joined)
    }

    fn process_subqueries(&self, lf: LazyFrame, exprs: Vec<&mut Expr>) -> LazyFrame {
        let mut contexts = vec![];
        for expr in exprs {
            *expr = expr.clone().map_expr(|e| match e {
                Expr::SubPlan(lp, names) => {
                    contexts.push(<LazyFrame>::from((**lp).clone()));
                    if names.len() == 1 {
                        Expr::Column(names[0].as_str().into())
                    } else {
                        Expr::SubPlan(lp, names)
                    }
                },
                e => e,
            })
        }

        if contexts.is_empty() {
            lf
        } else {
            lf.with_context(contexts)
        }
    }

    fn execute_create_table(&mut self, stmt: &Statement) -> PolarsResult<LazyFrame> {
        if let Statement::CreateTable(CreateTable {
            if_not_exists,
            name,
            query,
            ..
        }) = stmt
        {
            let tbl_name = name.0.first().unwrap().value.as_str();
            // CREATE TABLE IF NOT EXISTS
            if *if_not_exists && self.table_map.contains_key(tbl_name) {
                polars_bail!(SQLInterface: "relation '{}' already exists", tbl_name);
                // CREATE OR REPLACE TABLE
            }
            if let Some(query) = query {
                let lf = self.execute_query(query)?;
                self.register(tbl_name, lf);
                let out = df! {
                    "Response" => ["CREATE TABLE"]
                }
                .unwrap()
                .lazy();
                Ok(out)
            } else {
                polars_bail!(SQLInterface: "only `CREATE TABLE AS SELECT ...` is currently supported");
            }
        } else {
            unreachable!()
        }
    }

    fn get_table(&mut self, relation: &TableFactor) -> PolarsResult<(String, LazyFrame)> {
        match relation {
            TableFactor::Table {
                name, alias, args, ..
            } => {
                if let Some(args) = args {
                    return self.execute_table_function(name, alias, &args.args);
                }
                let tbl_name = name.0.first().unwrap().value.as_str();
                if let Some(lf) = self.get_table_from_current_scope(tbl_name) {
                    match alias {
                        Some(alias) => {
                            self.table_aliases
                                .insert(alias.name.value.clone(), tbl_name.to_string());
                            Ok((alias.to_string(), lf))
                        },
                        None => Ok((tbl_name.to_string(), lf)),
                    }
                } else {
                    polars_bail!(SQLInterface: "relation '{}' was not found", tbl_name);
                }
            },
            TableFactor::Derived {
                lateral,
                subquery,
                alias,
            } => {
                polars_ensure!(!(*lateral), SQLInterface: "LATERAL not supported");
                if let Some(alias) = alias {
                    let mut lf = self.execute_query_no_ctes(subquery)?;
                    lf = self.rename_columns_from_table_alias(lf, alias)?;
                    self.table_map.insert(alias.name.value.clone(), lf.clone());
                    Ok((alias.name.value.clone(), lf))
                } else {
                    polars_bail!(SQLSyntax: "derived tables must have aliases");
                }
            },
            TableFactor::UNNEST {
                alias,
                array_exprs,
                with_offset,
                with_offset_alias: _,
                ..
            } => {
                if let Some(alias) = alias {
                    let column_names: Vec<Option<PlSmallStr>> = alias
                        .columns
                        .iter()
                        .map(|c| {
                            if c.name.value.is_empty() {
                                None
                            } else {
                                Some(PlSmallStr::from_str(c.name.value.as_str()))
                            }
                        })
                        .collect();

                    let column_values: Vec<Series> = array_exprs
                        .iter()
                        .map(|arr| parse_sql_array(arr, self))
                        .collect::<Result<_, _>>()?;

                    polars_ensure!(!column_names.is_empty(),
                        SQLSyntax:
                        "UNNEST table alias must also declare column names, eg: {} (a,b,c)", alias.name.to_string()
                    );
                    if column_names.len() != column_values.len() {
                        let plural = if column_values.len() > 1 { "s" } else { "" };
                        polars_bail!(
                            SQLSyntax:
                            "UNNEST table alias requires {} column name{}, found {}", column_values.len(), plural, column_names.len()
                        );
                    }
                    let column_series: Vec<Column> = column_values
                        .into_iter()
                        .zip(column_names)
                        .map(|(s, name)| {
                            if let Some(name) = name {
                                s.with_name(name)
                            } else {
                                s
                            }
                        })
                        .map(Column::from)
                        .collect();

                    let lf = DataFrame::new(column_series)?.lazy();

                    if *with_offset {
                        // TODO: support 'WITH ORDINALITY|OFFSET' modifier.
                        //  (note that 'WITH OFFSET' is BigQuery-specific syntax, not PostgreSQL)
                        polars_bail!(SQLInterface: "UNNEST tables do not (yet) support WITH ORDINALITY|OFFSET");
                    }
                    let table_name = alias.name.value.clone();
                    self.table_map.insert(table_name.clone(), lf.clone());
                    Ok((table_name, lf))
                } else {
                    polars_bail!(SQLSyntax: "UNNEST table must have an alias");
                }
            },
            TableFactor::NestedJoin {
                table_with_joins,
                alias,
            } => {
                let lf = self.execute_from_statement(table_with_joins)?;
                match alias {
                    Some(a) => Ok((a.name.value.clone(), lf)),
                    None => Ok(("".to_string(), lf)),
                }
            },
            // Support bare table, optionally with an alias, for now
            _ => polars_bail!(SQLInterface: "not yet implemented: {}", relation),
        }
    }

    fn execute_table_function(
        &mut self,
        name: &ObjectName,
        alias: &Option<TableAlias>,
        args: &[FunctionArg],
    ) -> PolarsResult<(String, LazyFrame)> {
        let tbl_fn = name.0.first().unwrap().value.as_str();
        let read_fn = tbl_fn.parse::<PolarsTableFunctions>()?;
        let (tbl_name, lf) = read_fn.execute(args)?;
        #[allow(clippy::useless_asref)]
        let tbl_name = alias
            .as_ref()
            .map(|a| a.name.value.clone())
            .unwrap_or_else(|| tbl_name.to_str().to_string());

        self.table_map.insert(tbl_name.clone(), lf.clone());
        Ok((tbl_name, lf))
    }

    fn process_order_by(
        &mut self,
        mut lf: LazyFrame,
        order_by: &Option<OrderBy>,
        selected: Option<&[Expr]>,
    ) -> PolarsResult<LazyFrame> {
        if order_by.as_ref().is_none_or(|ob| ob.exprs.is_empty()) {
            return Ok(lf);
        }
        let schema = self.get_frame_schema(&mut lf)?;
        let columns_iter = schema.iter_names().map(|e| col(e.clone()));

        let order_by = order_by.as_ref().unwrap().exprs.clone();
        let mut descending = Vec::with_capacity(order_by.len());
        let mut nulls_last = Vec::with_capacity(order_by.len());
        let mut by: Vec<Expr> = Vec::with_capacity(order_by.len());

        if order_by.len() == 1  // support `ORDER BY ALL` (iff there is no column named 'ALL' in the schema)
            && matches!(&order_by[0].expr, SQLExpr::Identifier(ident) if ident.value.to_uppercase() == "ALL" && !schema.iter_names().any(|name| name.to_uppercase() == "ALL"))
        {
            if let Some(selected) = selected {
                by.extend(selected.iter().cloned());
            } else {
                by.extend(columns_iter);
            };
            let desc_order = !order_by[0].asc.unwrap_or(true);
            nulls_last.resize(by.len(), !order_by[0].nulls_first.unwrap_or(desc_order));
            descending.resize(by.len(), desc_order);
        } else {
            let columns = &columns_iter.collect::<Vec<_>>();
            for ob in order_by {
                // note: if not specified 'NULLS FIRST' is default for DESC, 'NULLS LAST' otherwise
                // https://www.postgresql.org/docs/current/queries-order.html
                let desc_order = !ob.asc.unwrap_or(true);
                nulls_last.push(!ob.nulls_first.unwrap_or(desc_order));
                descending.push(desc_order);

                // translate order expression, allowing ordinal values
                by.push(self.expr_or_ordinal(
                    &ob.expr,
                    columns,
                    selected,
                    Some(&schema),
                    "ORDER BY",
                )?)
            }
        }
        Ok(lf.sort_by_exprs(
            &by,
            SortMultipleOptions::default()
                .with_order_descending_multi(descending)
                .with_nulls_last_multi(nulls_last)
                .with_maintain_order(true),
        ))
    }

    fn process_group_by(
        &mut self,
        mut lf: LazyFrame,
        group_by_keys: &[Expr],
        projections: &[Expr],
    ) -> PolarsResult<LazyFrame> {
        let schema_before = self.get_frame_schema(&mut lf)?;
        let group_by_keys_schema =
            expressions_to_schema(group_by_keys, &schema_before, |duplicate_name: &str| {
                format!("group_by keys contained duplicate output name '{duplicate_name}'")
            })?;

        // Remove the group_by keys as polars adds those implicitly.
        let mut aggregation_projection = Vec::with_capacity(projections.len());
        let mut projection_overrides = PlHashMap::with_capacity(projections.len());
        let mut projection_aliases = PlHashSet::new();
        let mut group_key_aliases = PlHashSet::new();

        for mut e in projections {
            // `Len` represents COUNT(*) so we treat as an aggregation here.
            let is_non_group_key_expr = has_expr(e, |e| {
                match e {
                    Expr::Agg(_) | Expr::Len | Expr::Window { .. } => true,
                    Expr::Function { function: func, .. }
                        if !matches!(func, FunctionExpr::StructExpr(_)) =>
                    {
                        // If it's a function call containing a column NOT in the group by keys,
                        // we treat it as an aggregation.
                        has_expr(e, |e| match e {
                            Expr::Column(name) => !group_by_keys_schema.contains(name),
                            _ => false,
                        })
                    },
                    _ => false,
                }
            });

            // Note: if simple aliased expression we defer aliasing until after the group_by.
            if let Expr::Alias(expr, alias) = e {
                if e.clone().meta().is_simple_projection(Some(&schema_before)) {
                    group_key_aliases.insert(alias.as_ref());
                    e = expr
                } else if let Expr::Function {
                    function: FunctionExpr::StructExpr(StructFunction::FieldByName(name)),
                    ..
                } = expr.deref()
                {
                    projection_overrides
                        .insert(alias.as_ref(), col(name.clone()).alias(alias.clone()));
                } else if !is_non_group_key_expr && !group_by_keys_schema.contains(alias) {
                    projection_aliases.insert(alias.as_ref());
                }
            }
            let field = e.to_field(&schema_before)?;
            if group_by_keys_schema.get(&field.name).is_none() && is_non_group_key_expr {
                let mut e = e.clone();
                if let Expr::Agg(AggExpr::Implode(expr)) = &e {
                    e = (**expr).clone();
                } else if let Expr::Alias(expr, name) = &e {
                    if let Expr::Agg(AggExpr::Implode(expr)) = expr.as_ref() {
                        e = (**expr).clone().alias(name.clone());
                    }
                }
                aggregation_projection.push(e);
            } else if let Expr::Column(_)
            | Expr::Function {
                function: FunctionExpr::StructExpr(StructFunction::FieldByName(_)),
                ..
            } = e
            {
                // Non-aggregated columns must be part of the GROUP BY clause
                if !group_by_keys_schema.contains(&field.name) {
                    polars_bail!(SQLSyntax: "'{}' should participate in the GROUP BY clause or an aggregate function", &field.name);
                }
            }
        }
        let aggregated = lf.group_by(group_by_keys).agg(&aggregation_projection);
        let projection_schema =
            expressions_to_schema(projections, &schema_before, |duplicate_name: &str| {
                format!("group_by aggregations contained duplicate output name '{duplicate_name}'")
            })?;

        // A final projection to get the proper order and any deferred transforms/aliases.
        let final_projection = projection_schema
            .iter_names()
            .zip(projections)
            .map(|(name, projection_expr)| {
                if let Some(expr) = projection_overrides.get(name.as_str()) {
                    expr.clone()
                } else if group_by_keys_schema.get(name).is_some()
                    || projection_aliases.contains(name.as_str())
                    || group_key_aliases.contains(name.as_str())
                {
                    projection_expr.clone()
                } else {
                    col(name.clone())
                }
            })
            .collect::<Vec<_>>();

        Ok(aggregated.select(&final_projection))
    }

    fn process_limit_offset(
        &self,
        lf: LazyFrame,
        limit: &Option<SQLExpr>,
        offset: &Option<Offset>,
    ) -> PolarsResult<LazyFrame> {
        match (offset, limit) {
            (
                Some(Offset {
                    value: SQLExpr::Value(SQLValue::Number(offset, _)),
                    ..
                }),
                Some(SQLExpr::Value(SQLValue::Number(limit, _))),
            ) => Ok(lf.slice(
                offset
                    .parse()
                    .map_err(|e| polars_err!(SQLInterface: "OFFSET conversion error: {}", e))?,
                limit
                    .parse()
                    .map_err(|e| polars_err!(SQLInterface: "LIMIT conversion error: {}", e))?,
            )),
            (
                Some(Offset {
                    value: SQLExpr::Value(SQLValue::Number(offset, _)),
                    ..
                }),
                None,
            ) => Ok(lf.slice(
                offset
                    .parse()
                    .map_err(|e| polars_err!(SQLInterface: "OFFSET conversion error: {}", e))?,
                IdxSize::MAX,
            )),
            (None, Some(SQLExpr::Value(SQLValue::Number(limit, _)))) => Ok(lf.limit(
                limit
                    .parse()
                    .map_err(|e| polars_err!(SQLInterface: "LIMIT conversion error: {}", e))?,
            )),
            (None, None) => Ok(lf),
            _ => polars_bail!(
                SQLSyntax: "non-numeric arguments for LIMIT/OFFSET are not supported",
            ),
        }
    }

    fn process_qualified_wildcard(
        &mut self,
        ObjectName(idents): &ObjectName,
        options: &WildcardAdditionalOptions,
        modifiers: &mut SelectModifiers,
        schema: Option<&Schema>,
    ) -> PolarsResult<Vec<Expr>> {
        let mut new_idents = idents.clone();
        new_idents.push(Ident::new("*"));

        let expr = resolve_compound_identifier(self, new_idents.deref(), schema);
        self.process_wildcard_additional_options(expr?, options, modifiers, schema)
    }

    fn process_wildcard_additional_options(
        &mut self,
        exprs: Vec<Expr>,
        options: &WildcardAdditionalOptions,
        modifiers: &mut SelectModifiers,
        schema: Option<&Schema>,
    ) -> PolarsResult<Vec<Expr>> {
        if options.opt_except.is_some() && options.opt_exclude.is_some() {
            polars_bail!(SQLInterface: "EXCLUDE and EXCEPT wildcard options cannot be used together (prefer EXCLUDE)")
        } else if options.opt_exclude.is_some() && options.opt_ilike.is_some() {
            polars_bail!(SQLInterface: "EXCLUDE and ILIKE wildcard options cannot be used together")
        }

        // SELECT * EXCLUDE
        if let Some(items) = &options.opt_exclude {
            match items {
                ExcludeSelectItem::Single(ident) => {
                    modifiers.exclude.insert(ident.value.clone());
                },
                ExcludeSelectItem::Multiple(idents) => {
                    modifiers
                        .exclude
                        .extend(idents.iter().map(|i| i.value.clone()));
                },
            };
        }

        // SELECT * EXCEPT
        if let Some(items) = &options.opt_except {
            modifiers.exclude.insert(items.first_element.value.clone());
            modifiers
                .exclude
                .extend(items.additional_elements.iter().map(|i| i.value.clone()));
        }

        // SELECT * ILIKE
        if let Some(item) = &options.opt_ilike {
            let rx = regex::escape(item.pattern.as_str())
                .replace('%', ".*")
                .replace('_', ".");

            modifiers.ilike = Some(
                polars_utils::regex_cache::compile_regex(format!("^(?is){rx}$").as_str()).unwrap(),
            );
        }

        // SELECT * RENAME
        if let Some(items) = &options.opt_rename {
            let renames = match items {
                RenameSelectItem::Single(rename) => vec![rename],
                RenameSelectItem::Multiple(renames) => renames.iter().collect(),
            };
            for rn in renames {
                let (before, after) = (rn.ident.value.as_str(), rn.alias.value.as_str());
                let (before, after) = (PlSmallStr::from_str(before), PlSmallStr::from_str(after));
                if before != after {
                    modifiers.rename.insert(before, after);
                }
            }
        }

        // SELECT * REPLACE
        if let Some(replacements) = &options.opt_replace {
            for rp in &replacements.items {
                let replacement_expr = parse_sql_expr(&rp.expr, self, schema);
                modifiers
                    .replace
                    .push(replacement_expr?.alias(rp.column_name.value.as_str()));
            }
        }
        Ok(exprs)
    }

    fn rename_columns_from_table_alias(
        &mut self,
        mut lf: LazyFrame,
        alias: &TableAlias,
    ) -> PolarsResult<LazyFrame> {
        if alias.columns.is_empty() {
            Ok(lf)
        } else {
            let schema = self.get_frame_schema(&mut lf)?;
            if alias.columns.len() != schema.len() {
                polars_bail!(
                    SQLSyntax: "number of columns ({}) in alias '{}' does not match the number of columns in the table/query ({})",
                    alias.columns.len(), alias.name.value, schema.len()
                )
            } else {
                let existing_columns: Vec<_> = schema.iter_names().collect();
                let new_columns: Vec<_> =
                    alias.columns.iter().map(|c| c.name.value.clone()).collect();
                Ok(lf.rename(existing_columns, new_columns, true))
            }
        }
    }
}

impl SQLContext {
    /// Get internal table map. For internal use only.
    pub fn get_table_map(&self) -> PlHashMap<String, LazyFrame> {
        self.table_map.clone()
    }

    /// Create a new SQLContext from a table map. For internal use only
    pub fn new_from_table_map(table_map: PlHashMap<String, LazyFrame>) -> Self {
        Self {
            table_map,
            ..Default::default()
        }
    }
}

fn collect_compound_identifiers(
    left: &[Ident],
    right: &[Ident],
    left_name: &str,
    right_name: &str,
) -> PolarsResult<(Vec<Expr>, Vec<Expr>)> {
    if left.len() == 2 && right.len() == 2 {
        let (tbl_a, col_name_a) = (left[0].value.as_str(), left[1].value.as_str());
        let (tbl_b, col_name_b) = (right[0].value.as_str(), right[1].value.as_str());

        // switch left/right operands if the caller has them in reverse
        if left_name == tbl_b || right_name == tbl_a {
            Ok((vec![col(col_name_b)], vec![col(col_name_a)]))
        } else {
            Ok((vec![col(col_name_a)], vec![col(col_name_b)]))
        }
    } else {
        polars_bail!(SQLInterface: "collect_compound_identifiers: Expected left.len() == 2 && right.len() == 2, but found left.len() == {:?}, right.len() == {:?}", left.len(), right.len());
    }
}

fn expand_exprs(expr: Expr, schema: &SchemaRef) -> Vec<Expr> {
    match expr {
        Expr::Column(nm) if is_regex_colname(nm.as_str()) => {
            let re = polars_utils::regex_cache::compile_regex(&nm).unwrap();
            schema
                .iter_names()
                .filter(|name| re.is_match(name))
                .map(|name| col(name.clone()))
                .collect::<Vec<_>>()
        },
        Expr::Selector(s) => s
            .into_columns(schema, &Default::default())
            .unwrap()
            .into_iter()
            .map(col)
            .collect::<Vec<_>>(),
        _ => vec![expr],
    }
}

fn is_regex_colname(nm: &str) -> bool {
    nm.starts_with('^') && nm.ends_with('$')
}

fn process_join_on(
    expression: &sqlparser::ast::Expr,
    tbl_left: &TableInfo,
    tbl_right: &TableInfo,
) -> PolarsResult<(Vec<Expr>, Vec<Expr>)> {
    match expression {
        SQLExpr::BinaryOp { left, op, right } => match op {
            BinaryOperator::And => {
                let (mut left_i, mut right_i) = process_join_on(left, tbl_left, tbl_right)?;
                let (mut left_j, mut right_j) = process_join_on(right, tbl_left, tbl_right)?;
                left_i.append(&mut left_j);
                right_i.append(&mut right_j);
                Ok((left_i, right_i))
            },
            BinaryOperator::Eq => match (left.as_ref(), right.as_ref()) {
                (SQLExpr::CompoundIdentifier(left), SQLExpr::CompoundIdentifier(right)) => {
                    collect_compound_identifiers(left, right, &tbl_left.name, &tbl_right.name)
                },
                _ => {
                    polars_bail!(SQLInterface: "only equi-join constraints (on identifiers) are currently supported; found lhs={:?}, rhs={:?}", left, right)
                },
            },
            _ => {
                polars_bail!(SQLInterface: "only equi-join constraints (combined with 'AND') are currently supported; found op = '{:?}'", op)
            },
        },
        SQLExpr::Nested(expr) => process_join_on(expr, tbl_left, tbl_right),
        _ => {
            polars_bail!(SQLInterface: "only equi-join constraints are currently supported; found expression = {:?}", expression)
        },
    }
}

fn process_join_constraint(
    constraint: &JoinConstraint,
    tbl_left: &TableInfo,
    tbl_right: &TableInfo,
) -> PolarsResult<(Vec<Expr>, Vec<Expr>)> {
    match constraint {
        JoinConstraint::On(expr @ SQLExpr::BinaryOp { .. }) => {
            process_join_on(expr, tbl_left, tbl_right)
        },
        JoinConstraint::Using(idents) if !idents.is_empty() => {
            let using: Vec<Expr> = idents.iter().map(|id| col(id.value.as_str())).collect();
            Ok((using.clone(), using))
        },
        JoinConstraint::Natural => {
            let left_names = tbl_left.schema.iter_names().collect::<PlHashSet<_>>();
            let right_names = tbl_right.schema.iter_names().collect::<PlHashSet<_>>();
            let on: Vec<Expr> = left_names
                .intersection(&right_names)
                .map(|&name| col(name.clone()))
                .collect();
            if on.is_empty() {
                polars_bail!(SQLInterface: "no common columns found for NATURAL JOIN")
            }
            Ok((on.clone(), on))
        },
        _ => polars_bail!(SQLInterface: "unsupported SQL join constraint:\n{:?}", constraint),
    }
}

bitflags::bitflags! {
    /// Bitfield indicating whether there exists a projection with the specified height behavior.
    ///
    /// Used to help determine whether to execute projections in `select()` or `with_columns()`
    /// context.
    #[derive(PartialEq)]
    struct ExprSqlProjectionHeightBehavior: u8 {
        /// Maintains the height of input column(s)
        const MaintainsColumn = 1 << 0;
        /// Height is independent of input, e.g.:
        /// * expressions that change length: e.g. slice, explode, filter, gather etc.
        /// * aggregations: count(*), first(), sum() etc.
        const Independent = 1 << 1;
        /// "Inherits" the height of the context, e.g.:
        /// * Scalar literals
        const InheritsContext = 1 << 2;
    }
}

impl ExprSqlProjectionHeightBehavior {
    fn identify_from_expr(expr: &Expr) -> Self {
        let mut has_column = false;
        let mut has_independent = false;

        for e in expr.into_iter() {
            use Expr::*;
            has_column |= matches!(e, Column(_) | Selector(_));
            has_independent |= match e {
                // @TODO: This is broken now with functions.
                AnonymousFunction { options, .. } => {
                    options.returns_scalar() || !options.is_length_preserving()
                },
                Literal(v) => !v.is_scalar(),
                Explode { .. } | Filter { .. } | Gather { .. } | Slice { .. } => true,
                Agg { .. } | Len => true,
                _ => false,
            }
        }
        if has_independent {
            Self::Independent
        } else if has_column {
            Self::MaintainsColumn
        } else {
            Self::InheritsContext
        }
    }
}