mz_expr/

scalar.rs

// Copyright Materialize, Inc. and contributors. All rights reserved.
//
// Use of this software is governed by the Business Source License
// included in the LICENSE file.
//
// As of the Change Date specified in that file, in accordance with
// the Business Source License, use of this software will be governed
// by the Apache License, Version 2.0.

use std::collections::{BTreeMap, BTreeSet};
use std::ops::BitOrAssign;
use std::sync::Arc;
use std::{fmt, mem};

use itertools::Itertools;
use mz_lowertest::MzReflect;
use mz_ore::cast::CastFrom;
use mz_ore::collections::CollectionExt;
use mz_ore::iter::IteratorExt;
use mz_ore::soft_assert_or_log;
use mz_ore::stack::RecursionLimitError;
use mz_ore::str::StrExt;
use mz_ore::treat_as_equal::TreatAsEqual;
use mz_ore::vec::swap_remove_multiple;
use mz_pgrepr::TypeFromOidError;
use mz_pgtz::timezone::TimezoneSpec;
use mz_proto::{IntoRustIfSome, ProtoType, RustType, TryFromProtoError};
use mz_repr::adt::array::InvalidArrayError;
use mz_repr::adt::date::DateError;
use mz_repr::adt::datetime::DateTimeUnits;
use mz_repr::adt::range::InvalidRangeError;
use mz_repr::adt::regex::{Regex, RegexCompilationError};
use mz_repr::adt::timestamp::TimestampError;
use mz_repr::strconv::{ParseError, ParseHexError};
use mz_repr::{Datum, ReprColumnType, ReprScalarType, Row, RowArena, SqlColumnType, SqlScalarType};

use proptest::prelude::*;
use proptest_derive::Arbitrary;
use serde::{Deserialize, Serialize};

use crate::scalar::func::format::DateTimeFormat;
use crate::scalar::func::variadic::{
    And, Coalesce, ListCreate, ListIndex, Or, RegexpMatch, RegexpReplace, RegexpSplitToArray,
};
use crate::scalar::func::{
    BinaryFunc, UnaryFunc, UnmaterializableFunc, VariadicFunc, parse_timezone,
    regexp_replace_parse_flags,
};
use crate::scalar::proto_eval_error::proto_incompatible_array_dimensions::ProtoDims;
use crate::visit::{Visit, VisitChildren};

pub mod func;
pub mod like_pattern;

include!(concat!(env!("OUT_DIR"), "/mz_expr.scalar.rs"));

#[derive(
    Clone,
    PartialEq,
    Eq,
    PartialOrd,
    Ord,
    Hash,
    Serialize,
    Deserialize,
    MzReflect
)]
pub enum MirScalarExpr {
    /// A column of the input row
    Column(usize, TreatAsEqual<Option<Arc<str>>>),
    /// A literal value.
    /// (Stored as a row, because we can't own a Datum)
    Literal(Result<Row, EvalError>, ReprColumnType),
    /// A call to an unmaterializable function.
    ///
    /// These functions cannot be evaluated by `MirScalarExpr::eval`. They must
    /// be transformed away by a higher layer.
    CallUnmaterializable(UnmaterializableFunc),
    /// A function call that takes one expression as an argument.
    CallUnary {
        func: UnaryFunc,
        expr: Box<MirScalarExpr>,
    },
    /// A function call that takes two expressions as arguments.
    CallBinary {
        func: BinaryFunc,
        expr1: Box<MirScalarExpr>,
        expr2: Box<MirScalarExpr>,
    },
    /// A function call that takes an arbitrary number of arguments.
    CallVariadic {
        func: VariadicFunc,
        exprs: Vec<MirScalarExpr>,
    },
    /// Conditionally evaluated expressions.
    ///
    /// It is important that `then` and `els` only be evaluated if
    /// `cond` is true or not, respectively. This is the only way
    /// users can guard execution (other logical operator do not
    /// short-circuit) and we need to preserve that.
    If {
        cond: Box<MirScalarExpr>,
        then: Box<MirScalarExpr>,
        els: Box<MirScalarExpr>,
    },
}

// We need a custom Debug because we don't want to show `None` for name information.
// Sadly, the `derivative` crate doesn't support this use case.
impl std::fmt::Debug for MirScalarExpr {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        match self {
            MirScalarExpr::Column(i, TreatAsEqual(Some(name))) => {
                write!(f, "Column({i}, {name:?})")
            }
            MirScalarExpr::Column(i, TreatAsEqual(None)) => write!(f, "Column({i})"),
            MirScalarExpr::Literal(lit, typ) => write!(f, "Literal({lit:?}, {typ:?})"),
            MirScalarExpr::CallUnmaterializable(func) => {
                write!(f, "CallUnmaterializable({func:?})")
            }
            MirScalarExpr::CallUnary { func, expr } => {
                write!(f, "CallUnary({func:?}, {expr:?})")
            }
            MirScalarExpr::CallBinary { func, expr1, expr2 } => {
                write!(f, "CallBinary({func:?}, {expr1:?}, {expr2:?})")
            }
            MirScalarExpr::CallVariadic { func, exprs } => {
                write!(f, "CallVariadic({func:?}, {exprs:?})")
            }
            MirScalarExpr::If { cond, then, els } => {
                write!(f, "If({cond:?}, {then:?}, {els:?})")
            }
        }
    }
}

impl MirScalarExpr {
    pub fn columns(is: &[usize]) -> Vec<MirScalarExpr> {
        is.iter().map(|i| MirScalarExpr::column(*i)).collect()
    }

    pub fn column(column: usize) -> Self {
        MirScalarExpr::Column(column, TreatAsEqual(None))
    }

    pub fn named_column(column: usize, name: Arc<str>) -> Self {
        MirScalarExpr::Column(column, TreatAsEqual(Some(name)))
    }

    pub fn literal(res: Result<Datum, EvalError>, typ: ReprScalarType) -> Self {
        let typ = ReprColumnType {
            scalar_type: typ,
            nullable: matches!(res, Ok(Datum::Null)),
        };
        let row = res.map(|datum| Row::pack_slice(&[datum]));
        MirScalarExpr::Literal(row, typ)
    }

    pub fn literal_ok(datum: Datum, typ: ReprScalarType) -> Self {
        MirScalarExpr::literal(Ok(datum), typ)
    }

    /// Constructs a `MirScalarExpr::Literal` from a pre-packed `Row`
    /// containing a single datum and a `ReprScalarType`. Nullability is
    /// derived by inspecting the first datum in the row.
    pub fn literal_from_single_element_row(row: Row, typ: ReprScalarType) -> Self {
        soft_assert_or_log!(
            row.iter().count() == 1,
            "literal_from_row called with a Row containing {} datums",
            row.iter().count()
        );
        let nullable = row.unpack_first() == Datum::Null;
        let typ = ReprColumnType {
            scalar_type: typ,
            nullable,
        };
        MirScalarExpr::Literal(Ok(row), typ)
    }

    pub fn literal_null(typ: ReprScalarType) -> Self {
        MirScalarExpr::literal_ok(Datum::Null, typ)
    }

    pub fn literal_false() -> Self {
        MirScalarExpr::literal_ok(Datum::False, ReprScalarType::Bool)
    }

    pub fn literal_true() -> Self {
        MirScalarExpr::literal_ok(Datum::True, ReprScalarType::Bool)
    }

    pub fn call_unary<U: Into<UnaryFunc>>(self, func: U) -> Self {
        MirScalarExpr::CallUnary {
            func: func.into(),
            expr: Box::new(self),
        }
    }

    pub fn call_binary<B: Into<BinaryFunc>>(self, other: Self, func: B) -> Self {
        MirScalarExpr::CallBinary {
            func: func.into(),
            expr1: Box::new(self),
            expr2: Box::new(other),
        }
    }

    /// Call function `func` on `exprs`.
    pub fn call_variadic<V: Into<VariadicFunc>>(func: V, exprs: Vec<Self>) -> Self {
        MirScalarExpr::CallVariadic {
            func: func.into(),
            exprs,
        }
    }

    pub fn if_then_else(self, t: Self, f: Self) -> Self {
        MirScalarExpr::If {
            cond: Box::new(self),
            then: Box::new(t),
            els: Box::new(f),
        }
    }

    pub fn or(self, other: Self) -> Self {
        MirScalarExpr::call_variadic(Or, vec![self, other])
    }

    pub fn and(self, other: Self) -> Self {
        MirScalarExpr::call_variadic(And, vec![self, other])
    }

    pub fn not(self) -> Self {
        self.call_unary(UnaryFunc::Not(func::Not))
    }

    pub fn call_is_null(self) -> Self {
        self.call_unary(UnaryFunc::IsNull(func::IsNull))
    }

    /// Match AND or OR on self and get the args. If no match, then interpret self as if it were
    /// wrapped in a 1-arg AND/OR.
    pub fn and_or_args(&self, func_to_match: VariadicFunc) -> Vec<MirScalarExpr> {
        assert!(func_to_match == Or.into() || func_to_match == And.into());
        match self {
            MirScalarExpr::CallVariadic { func, exprs } if *func == func_to_match => exprs.clone(),
            _ => vec![self.clone()],
        }
    }

    /// Try to match a literal equality involving the given expression on one side.
    /// Return the (non-null) literal and a bool that indicates whether an inversion was needed.
    ///
    /// More specifically:
    /// If `self` is an equality with a `null` literal on any side, then the match fails!
    /// Otherwise: for a given `expr`, if `self` is `<expr> = <literal>` or `<literal> = <expr>`
    /// then return `Some((<literal>, false))`. In addition to just trying to match `<expr>` as it
    /// is, we also try to remove an invertible function call (such as a cast). If the match
    /// succeeds with the inversion, then return `Some((<inverted-literal>, true))`. For more
    /// details on the inversion, see `invert_casts_on_expr_eq_literal_inner`.
    pub fn expr_eq_literal(&self, expr: &MirScalarExpr) -> Option<(Row, bool)> {
        if let MirScalarExpr::CallBinary {
            func: BinaryFunc::Eq(_),
            expr1,
            expr2,
        } = self
        {
            if expr1.is_literal_null() || expr2.is_literal_null() {
                return None;
            }
            if let Some(Ok(lit)) = expr1.as_literal_owned() {
                return Self::expr_eq_literal_inner(expr, lit, expr1, expr2);
            }
            if let Some(Ok(lit)) = expr2.as_literal_owned() {
                return Self::expr_eq_literal_inner(expr, lit, expr2, expr1);
            }
        }
        None
    }

    fn expr_eq_literal_inner(
        expr_to_match: &MirScalarExpr,
        literal: Row,
        literal_expr: &MirScalarExpr,
        other_side: &MirScalarExpr,
    ) -> Option<(Row, bool)> {
        if other_side == expr_to_match {
            return Some((literal, false));
        } else {
            // expr didn't exactly match. See if we can match it by inverse-casting.
            let (cast_removed, inv_cast_lit) =
                Self::invert_casts_on_expr_eq_literal_inner(other_side, literal_expr);
            if &cast_removed == expr_to_match {
                if let Some(Ok(inv_cast_lit_row)) = inv_cast_lit.as_literal_owned() {
                    return Some((inv_cast_lit_row, true));
                }
            }
        }
        None
    }

    /// If `self` is `<expr> = <literal>` or `<literal> = <expr>` then
    /// return `<expr>`. It also tries to remove a cast (or other invertible function call) from
    /// `<expr>` before returning it, see `invert_casts_on_expr_eq_literal_inner`.
    pub fn any_expr_eq_literal(&self) -> Option<MirScalarExpr> {
        if let MirScalarExpr::CallBinary {
            func: BinaryFunc::Eq(_),
            expr1,
            expr2,
        } = self
        {
            if expr1.is_literal() {
                let (expr, _literal) = Self::invert_casts_on_expr_eq_literal_inner(expr2, expr1);
                return Some(expr);
            }
            if expr2.is_literal() {
                let (expr, _literal) = Self::invert_casts_on_expr_eq_literal_inner(expr1, expr2);
                return Some(expr);
            }
        }
        None
    }

    /// If the given `MirScalarExpr` is a literal equality where one side is an invertible function
    /// call, then calls the inverse function on both sides of the equality and returns the modified
    /// version of the given `MirScalarExpr`. Otherwise, it returns the original expression.
    /// For more details, see `invert_casts_on_expr_eq_literal_inner`.
    pub fn invert_casts_on_expr_eq_literal(&self) -> MirScalarExpr {
        if let MirScalarExpr::CallBinary {
            func: BinaryFunc::Eq(_),
            expr1,
            expr2,
        } = self
        {
            if expr1.is_literal() {
                let (expr, literal) = Self::invert_casts_on_expr_eq_literal_inner(expr2, expr1);
                return literal.call_binary(expr, func::Eq);
            }
            if expr2.is_literal() {
                let (expr, literal) = Self::invert_casts_on_expr_eq_literal_inner(expr1, expr2);
                return literal.call_binary(expr, func::Eq);
            }
            // Note: The above return statements should be consistent in whether they put the
            // literal in expr1 or expr2, for the deduplication in CanonicalizeMfp to work.
        }
        self.clone()
    }

    /// Given an `<expr>` and a `<literal>` that were taken out from `<expr> = <literal>` or
    /// `<literal> = <expr>`, it tries to simplify the equality by applying the inverse function of
    /// the outermost function call of `<expr>` (if exists):
    ///
    /// `<literal> = func(<inner_expr>)`, where `func` is invertible
    ///  -->
    /// `<func^-1(literal)> = <inner_expr>`
    /// if `func^-1(literal)` doesn't error out, and both `func` and `func^-1` preserve uniqueness.
    ///
    /// The return value is the `<inner_expr>` and the literal value that we get by applying the
    /// inverse function.
    fn invert_casts_on_expr_eq_literal_inner(
        expr: &MirScalarExpr,
        literal: &MirScalarExpr,
    ) -> (MirScalarExpr, MirScalarExpr) {
        assert!(matches!(literal, MirScalarExpr::Literal(..)));

        let temp_storage = &RowArena::new();
        let eval = |e: &MirScalarExpr| {
            MirScalarExpr::literal(e.eval(&[], temp_storage), e.typ(&[]).scalar_type)
        };

        if let MirScalarExpr::CallUnary {
            func,
            expr: inner_expr,
        } = expr
        {
            if let Some(inverse_func) = func.inverse() {
                // We don't want to remove a function call that doesn't preserve uniqueness, e.g.,
                // if `f` is a float, we don't want to inverse-cast `f::INT = 0`, because the
                // inserted int-to-float cast wouldn't be able to invert the rounding.
                // Also, we don't want to insert a function call that doesn't preserve
                // uniqueness. E.g., if `a` has an integer type, we don't want to do
                // a surprise rounding for `WHERE a = 3.14`.
                if func.preserves_uniqueness() && inverse_func.preserves_uniqueness() {
                    let lit_inv = eval(&MirScalarExpr::CallUnary {
                        func: inverse_func,
                        expr: Box::new(literal.clone()),
                    });
                    // The evaluation can error out, e.g., when casting a too large int32 to int16.
                    // This case is handled by `impossible_literal_equality_because_types`.
                    if !lit_inv.is_literal_err() {
                        return (*inner_expr.clone(), lit_inv);
                    }
                }
            }
        }
        (expr.clone(), literal.clone())
    }

    /// Tries to remove a cast (or other invertible function) in the same way as
    /// `invert_casts_on_expr_eq_literal`, but if calling the inverse function fails on the literal,
    /// then it deems the equality to be impossible. For example if `a` is a smallint column, then
    /// it catches `a::integer = 1000000` to be an always false predicate (where the `::integer`
    /// could have been inserted implicitly).
    pub fn impossible_literal_equality_because_types(&self) -> bool {
        if let MirScalarExpr::CallBinary {
            func: BinaryFunc::Eq(_),
            expr1,
            expr2,
        } = self
        {
            if expr1.is_literal() {
                return Self::impossible_literal_equality_because_types_inner(expr1, expr2);
            }
            if expr2.is_literal() {
                return Self::impossible_literal_equality_because_types_inner(expr2, expr1);
            }
        }
        false
    }

    fn impossible_literal_equality_because_types_inner(
        literal: &MirScalarExpr,
        other_side: &MirScalarExpr,
    ) -> bool {
        assert!(matches!(literal, MirScalarExpr::Literal(..)));

        let temp_storage = &RowArena::new();
        let eval = |e: &MirScalarExpr| {
            MirScalarExpr::literal(e.eval(&[], temp_storage), e.typ(&[]).scalar_type)
        };

        if let MirScalarExpr::CallUnary { func, .. } = other_side {
            if let Some(inverse_func) = func.inverse() {
                if inverse_func.preserves_uniqueness()
                    && eval(&MirScalarExpr::CallUnary {
                        func: inverse_func,
                        expr: Box::new(literal.clone()),
                    })
                    .is_literal_err()
                {
                    return true;
                }
            }
        }

        false
    }

    /// Determines if `self` is
    /// `<expr> < <literal>` or
    /// `<expr> > <literal>` or
    /// `<literal> < <expr>` or
    /// `<literal> > <expr>` or
    /// `<expr> <= <literal>` or
    /// `<expr> >= <literal>` or
    /// `<literal> <= <expr>` or
    /// `<literal> >= <expr>`.
    pub fn any_expr_ineq_literal(&self) -> bool {
        match self {
            MirScalarExpr::CallBinary {
                func:
                    BinaryFunc::Lt(_) | BinaryFunc::Lte(_) | BinaryFunc::Gt(_) | BinaryFunc::Gte(_),
                expr1,
                expr2,
            } => expr1.is_literal() || expr2.is_literal(),
            _ => false,
        }
    }

    /// Rewrites column indices with their value in `permutation`.
    ///
    /// This method is applicable even when `permutation` is not a
    /// strict permutation, and it only needs to have entries for
    /// each column referenced in `self`.
    pub fn permute(&mut self, permutation: &[usize]) {
        self.visit_columns(|c| *c = permutation[*c]);
    }

    /// Rewrites column indices with their value in `permutation`.
    ///
    /// This method is applicable even when `permutation` is not a
    /// strict permutation, and it only needs to have entries for
    /// each column referenced in `self`.
    pub fn permute_map(&mut self, permutation: &BTreeMap<usize, usize>) {
        self.visit_columns(|c| *c = permutation[c]);
    }

    /// Visits each column reference and applies `action` to the column.
    ///
    /// Useful for remapping columns, or for collecting expression support.
    pub fn visit_columns<F>(&mut self, mut action: F)
    where
        F: FnMut(&mut usize),
    {
        self.visit_pre_mut(|e| {
            if let MirScalarExpr::Column(col, _) = e {
                action(col);
            }
        });
    }

    pub fn support(&self) -> BTreeSet<usize> {
        let mut support = BTreeSet::new();
        self.support_into(&mut support);
        support
    }

    pub fn support_into(&self, support: &mut BTreeSet<usize>) {
        self.visit_pre(|e| {
            if let MirScalarExpr::Column(i, _) = e {
                support.insert(*i);
            }
        });
    }

    pub fn take(&mut self) -> Self {
        mem::replace(self, MirScalarExpr::literal_null(ReprScalarType::String))
    }

    /// If the expression is a literal, this returns the literal's Datum or the literal's EvalError.
    /// Otherwise, it returns None.
    pub fn as_literal(&self) -> Option<Result<Datum<'_>, &EvalError>> {
        if let MirScalarExpr::Literal(lit, _column_type) = self {
            Some(lit.as_ref().map(|row| row.unpack_first()))
        } else {
            None
        }
    }

    /// Flattens the two failure modes of `as_literal` into one layer of Option: returns the
    /// literal's Datum only if the expression is a literal, and it's not a literal error.
    pub fn as_literal_non_error(&self) -> Option<Datum<'_>> {
        self.as_literal().map(|eval_err| eval_err.ok()).flatten()
    }

    pub fn as_literal_owned(&self) -> Option<Result<Row, EvalError>> {
        if let MirScalarExpr::Literal(lit, _column_type) = self {
            Some(lit.clone())
        } else {
            None
        }
    }

    /// Returns a reference to the `Row` if the expression is a non-NULL `Ok` literal.
    pub fn as_literal_non_null_row(&self) -> Option<&Row> {
        if let MirScalarExpr::Literal(Ok(row), _) = self {
            if !row.unpack_first().is_null() {
                return Some(row);
            }
        }
        None
    }

    pub fn as_literal_str(&self) -> Option<&str> {
        match self.as_literal() {
            Some(Ok(Datum::String(s))) => Some(s),
            _ => None,
        }
    }

    pub fn as_literal_int64(&self) -> Option<i64> {
        match self.as_literal() {
            Some(Ok(Datum::Int64(i))) => Some(i),
            _ => None,
        }
    }

    pub fn as_literal_err(&self) -> Option<&EvalError> {
        self.as_literal().and_then(|lit| lit.err())
    }

    pub fn is_literal(&self) -> bool {
        matches!(self, MirScalarExpr::Literal(_, _))
    }

    pub fn is_literal_true(&self) -> bool {
        Some(Ok(Datum::True)) == self.as_literal()
    }

    pub fn is_literal_false(&self) -> bool {
        Some(Ok(Datum::False)) == self.as_literal()
    }

    pub fn is_literal_null(&self) -> bool {
        Some(Ok(Datum::Null)) == self.as_literal()
    }

    pub fn is_literal_ok(&self) -> bool {
        matches!(self, MirScalarExpr::Literal(Ok(_), _typ))
    }

    pub fn is_literal_err(&self) -> bool {
        matches!(self, MirScalarExpr::Literal(Err(_), _typ))
    }

    pub fn is_column(&self) -> bool {
        matches!(self, MirScalarExpr::Column(_col, _name))
    }

    pub fn is_error_if_null(&self) -> bool {
        matches!(
            self,
            Self::CallVariadic {
                func: VariadicFunc::ErrorIfNull(_),
                ..
            }
        )
    }

    /// If `self` expresses a temporal filter, normalize it to start with `mz_now()` and return
    /// references.
    ///
    /// A temporal filter is an expression of the form `mz_now() <BINOP> <EXPR>`,
    /// for a restricted set of `BINOP` and `EXPR` that do not themselves contain `mz_now()`.
    /// Expressions may conform to this once their expressions are swapped.
    ///
    /// If the expression is not a temporal filter, it will be unchanged, and the reason for why
    /// it's not a temporal filter is returned as a string.
    pub fn as_mut_temporal_filter(&mut self) -> Result<(&BinaryFunc, &mut MirScalarExpr), String> {
        if !self.contains_temporal() {
            return Err("Does not involve mz_now()".to_string());
        }
        // Supported temporal predicates are exclusively binary operators.
        if let MirScalarExpr::CallBinary { func, expr1, expr2 } = self {
            // Attempt to put `LogicalTimestamp` in the first argument position.
            if !expr1.contains_temporal()
                && **expr2 == MirScalarExpr::CallUnmaterializable(UnmaterializableFunc::MzNow)
            {
                std::mem::swap(expr1, expr2);
                *func = match func {
                    BinaryFunc::Eq(_) => func::Eq.into(),
                    BinaryFunc::Lt(_) => func::Gt.into(),
                    BinaryFunc::Lte(_) => func::Gte.into(),
                    BinaryFunc::Gt(_) => func::Lt.into(),
                    BinaryFunc::Gte(_) => func::Lte.into(),
                    x => {
                        return Err(format!("Unsupported binary temporal operation: {:?}", x));
                    }
                };
            }

            // Error if MLT is referenced in an unsupported position.
            if expr2.contains_temporal()
                || **expr1 != MirScalarExpr::CallUnmaterializable(UnmaterializableFunc::MzNow)
            {
                return Err(format!(
                    "Unsupported temporal predicate. Note: `mz_now()` must be directly compared to a mz_timestamp-castable expression. Expression found: {}",
                    MirScalarExpr::CallBinary {
                        func: func.clone(),
                        expr1: expr1.clone(),
                        expr2: expr2.clone()
                    },
                ));
            }

            Ok((&*func, expr2))
        } else {
            Err(format!(
                "Unsupported temporal predicate. Note: `mz_now()` must be directly compared to a non-temporal expression of mz_timestamp-castable type. Expression found: {}",
                self,
            ))
        }
    }

    #[deprecated = "Use `might_error` instead"]
    pub fn contains_error_if_null(&self) -> bool {
        let mut worklist = vec![self];
        while let Some(expr) = worklist.pop() {
            if expr.is_error_if_null() {
                return true;
            }
            worklist.extend(expr.children());
        }
        false
    }

    pub fn contains_err(&self) -> bool {
        let mut worklist = vec![self];
        while let Some(expr) = worklist.pop() {
            if expr.is_literal_err() {
                return true;
            }
            worklist.extend(expr.children());
        }
        false
    }

    /// A very crude approximation for scalar expressions that might produce an
    /// error.
    ///
    /// Currently, this is restricted only to expressions that either contain a
    /// literal error or a [`VariadicFunc::ErrorIfNull`] call.
    pub fn might_error(&self) -> bool {
        let mut worklist = vec![self];
        while let Some(expr) = worklist.pop() {
            if expr.is_literal_err() || expr.is_error_if_null() {
                return true;
            }
            worklist.extend(expr.children());
        }
        false
    }

    /// If self is a column, return the column index, otherwise `None`.
    pub fn as_column(&self) -> Option<usize> {
        if let MirScalarExpr::Column(c, _) = self {
            Some(*c)
        } else {
            None
        }
    }

    /// Reduces a complex expression where possible.
    ///
    /// This function uses nullability information present in `column_types`,
    /// and the result may only continue to be a correct transformation as
    /// long as this information continues to hold (nullability may not hold
    /// as expressions migrate around).
    ///
    /// (If you'd like to not use nullability information here, then you can
    /// tweak the nullabilities in `column_types` before passing it to this
    /// function, see e.g. in `EquivalenceClasses::minimize`.)
    ///
    /// Also performs partial canonicalization on the expression.
    ///
    /// ```rust
    /// use mz_expr::MirScalarExpr;
    /// use mz_repr::{ReprColumnType, Datum, SqlScalarType};
    ///
    /// let expr_0 = MirScalarExpr::column(0);
    /// let expr_t = MirScalarExpr::literal_true();
    /// let expr_f = MirScalarExpr::literal_false();
    ///
    /// let mut test =
    /// expr_t
    ///     .clone()
    ///     .and(expr_f.clone())
    ///     .if_then_else(expr_0, expr_t.clone());
    ///
    /// let input_type = vec![ReprColumnType::from(&SqlScalarType::Int32.nullable(false))];
    /// test.reduce(&input_type);
    /// assert_eq!(test, expr_t);
    /// ```
    /// Reduce the expression to a simpler form.
    pub fn reduce(&mut self, column_types: &[ReprColumnType]) {
        let temp_storage = &RowArena::new();
        let eval = |e: &MirScalarExpr| {
            MirScalarExpr::literal(e.eval(&[], temp_storage), e.typ(column_types).scalar_type)
        };

        // Simplifications run in a loop until `self` no longer changes.
        let mut old_self = MirScalarExpr::column(0);
        while old_self != *self {
            old_self = self.clone();
            #[allow(deprecated)]
            self.visit_mut_pre_post_nolimit(
                &mut |e| {
                    match e {
                        MirScalarExpr::CallUnary { func, expr } => {
                            if *func == UnaryFunc::IsNull(func::IsNull) {
                                if !expr.typ(column_types).nullable {
                                    *e = MirScalarExpr::literal_false();
                                } else {
                                    // Try to at least decompose IsNull into a disjunction
                                    // of simpler IsNull subexpressions.
                                    if let Some(expr) = expr.decompose_is_null() {
                                        *e = expr
                                    }
                                }
                            } else if *func == UnaryFunc::Not(func::Not) {
                                // Push down not expressions
                                match &mut **expr {
                                    // Two negates cancel each other out.
                                    MirScalarExpr::CallUnary {
                                        expr: inner_expr,
                                        func: UnaryFunc::Not(func::Not),
                                    } => *e = inner_expr.take(),
                                    // Transforms `NOT(a <op> b)` to `a negate(<op>) b`
                                    // if a negation exists.
                                    MirScalarExpr::CallBinary { expr1, expr2, func } => {
                                        if let Some(negated_func) = func.negate() {
                                            *e = MirScalarExpr::CallBinary {
                                                expr1: Box::new(expr1.take()),
                                                expr2: Box::new(expr2.take()),
                                                func: negated_func,
                                            }
                                        }
                                    }
                                    MirScalarExpr::CallVariadic { .. } => {
                                        e.demorgans();
                                    }
                                    _ => {}
                                }
                            }
                        }
                        _ => {}
                    };
                    None
                },
                &mut |e| match e {
                    // Evaluate and pull up constants
                    MirScalarExpr::Column(_, _)
                    | MirScalarExpr::Literal(_, _)
                    | MirScalarExpr::CallUnmaterializable(_) => (),
                    MirScalarExpr::CallUnary { func, expr } => {
                        if expr.is_literal() && *func != UnaryFunc::Panic(func::Panic) {
                            *e = eval(e);
                        } else if let UnaryFunc::RecordGet(func::RecordGet(i)) = *func {
                            if let MirScalarExpr::CallVariadic {
                                func: VariadicFunc::RecordCreate(..),
                                exprs,
                            } = &mut **expr
                            {
                                *e = exprs.swap_remove(i);
                            }
                        }
                    }
                    MirScalarExpr::CallBinary { func, expr1, expr2 } => {
                        if expr1.is_literal() && expr2.is_literal() {
                            *e = eval(e);
                        } else if (expr1.is_literal_null() || expr2.is_literal_null())
                            && func.propagates_nulls()
                        {
                            *e = MirScalarExpr::literal_null(e.typ(column_types).scalar_type);
                        } else if let Some(err) = expr1.as_literal_err() {
                            *e = MirScalarExpr::literal(
                                Err(err.clone()),
                                e.typ(column_types).scalar_type,
                            );
                        } else if let Some(err) = expr2.as_literal_err() {
                            *e = MirScalarExpr::literal(
                                Err(err.clone()),
                                e.typ(column_types).scalar_type,
                            );
                        } else if let BinaryFunc::IsLikeMatchCaseInsensitive(_) = func {
                            if expr2.is_literal() {
                                // We can at least precompile the regex.
                                let pattern = expr2.as_literal_str().unwrap();
                                *e = match like_pattern::compile(pattern, true) {
                                    Ok(matcher) => expr1.take().call_unary(UnaryFunc::IsLikeMatch(
                                        func::IsLikeMatch(matcher),
                                    )),
                                    Err(err) => MirScalarExpr::literal(
                                        Err(err),
                                        e.typ(column_types).scalar_type,
                                    ),
                                };
                            }
                        } else if let BinaryFunc::IsLikeMatchCaseSensitive(_) = func {
                            if expr2.is_literal() {
                                // We can at least precompile the regex.
                                let pattern = expr2.as_literal_str().unwrap();
                                *e = match like_pattern::compile(pattern, false) {
                                    Ok(matcher) => expr1.take().call_unary(UnaryFunc::IsLikeMatch(
                                        func::IsLikeMatch(matcher),
                                    )),
                                    Err(err) => MirScalarExpr::literal(
                                        Err(err),
                                        e.typ(column_types).scalar_type,
                                    ),
                                };
                            }
                        } else if matches!(
                            func,
                            BinaryFunc::IsRegexpMatchCaseSensitive(_)
                                | BinaryFunc::IsRegexpMatchCaseInsensitive(_)
                        ) {
                            let case_insensitive =
                                matches!(func, BinaryFunc::IsRegexpMatchCaseInsensitive(_));
                            if let MirScalarExpr::Literal(Ok(row), _) = &**expr2 {
                                *e = match Regex::new(
                                    row.unpack_first().unwrap_str(),
                                    case_insensitive,
                                ) {
                                    Ok(regex) => expr1.take().call_unary(UnaryFunc::IsRegexpMatch(
                                        func::IsRegexpMatch(regex),
                                    )),
                                    Err(err) => MirScalarExpr::literal(
                                        Err(err.into()),
                                        e.typ(column_types).scalar_type,
                                    ),
                                };
                            }
                        } else if let BinaryFunc::ExtractInterval(_) = *func
                            && expr1.is_literal()
                        {
                            let units = expr1.as_literal_str().unwrap();
                            *e = match units.parse::<DateTimeUnits>() {
                                Ok(units) => MirScalarExpr::CallUnary {
                                    func: UnaryFunc::ExtractInterval(func::ExtractInterval(units)),
                                    expr: Box::new(expr2.take()),
                                },
                                Err(_) => MirScalarExpr::literal(
                                    Err(EvalError::UnknownUnits(units.into())),
                                    e.typ(column_types).scalar_type,
                                ),
                            }
                        } else if let BinaryFunc::ExtractTime(_) = *func
                            && expr1.is_literal()
                        {
                            let units = expr1.as_literal_str().unwrap();
                            *e = match units.parse::<DateTimeUnits>() {
                                Ok(units) => MirScalarExpr::CallUnary {
                                    func: UnaryFunc::ExtractTime(func::ExtractTime(units)),
                                    expr: Box::new(expr2.take()),
                                },
                                Err(_) => MirScalarExpr::literal(
                                    Err(EvalError::UnknownUnits(units.into())),
                                    e.typ(column_types).scalar_type,
                                ),
                            }
                        } else if let BinaryFunc::ExtractTimestamp(_) = *func
                            && expr1.is_literal()
                        {
                            let units = expr1.as_literal_str().unwrap();
                            *e = match units.parse::<DateTimeUnits>() {
                                Ok(units) => MirScalarExpr::CallUnary {
                                    func: UnaryFunc::ExtractTimestamp(func::ExtractTimestamp(
                                        units,
                                    )),
                                    expr: Box::new(expr2.take()),
                                },
                                Err(_) => MirScalarExpr::literal(
                                    Err(EvalError::UnknownUnits(units.into())),
                                    e.typ(column_types).scalar_type,
                                ),
                            }
                        } else if let BinaryFunc::ExtractTimestampTz(_) = *func
                            && expr1.is_literal()
                        {
                            let units = expr1.as_literal_str().unwrap();
                            *e = match units.parse::<DateTimeUnits>() {
                                Ok(units) => MirScalarExpr::CallUnary {
                                    func: UnaryFunc::ExtractTimestampTz(func::ExtractTimestampTz(
                                        units,
                                    )),
                                    expr: Box::new(expr2.take()),
                                },
                                Err(_) => MirScalarExpr::literal(
                                    Err(EvalError::UnknownUnits(units.into())),
                                    e.typ(column_types).scalar_type,
                                ),
                            }
                        } else if let BinaryFunc::ExtractDate(_) = *func
                            && expr1.is_literal()
                        {
                            let units = expr1.as_literal_str().unwrap();
                            *e = match units.parse::<DateTimeUnits>() {
                                Ok(units) => MirScalarExpr::CallUnary {
                                    func: UnaryFunc::ExtractDate(func::ExtractDate(units)),
                                    expr: Box::new(expr2.take()),
                                },
                                Err(_) => MirScalarExpr::literal(
                                    Err(EvalError::UnknownUnits(units.into())),
                                    e.typ(column_types).scalar_type,
                                ),
                            }
                        } else if let BinaryFunc::DatePartInterval(_) = *func
                            && expr1.is_literal()
                        {
                            let units = expr1.as_literal_str().unwrap();
                            *e = match units.parse::<DateTimeUnits>() {
                                Ok(units) => MirScalarExpr::CallUnary {
                                    func: UnaryFunc::DatePartInterval(func::DatePartInterval(
                                        units,
                                    )),
                                    expr: Box::new(expr2.take()),
                                },
                                Err(_) => MirScalarExpr::literal(
                                    Err(EvalError::UnknownUnits(units.into())),
                                    e.typ(column_types).scalar_type,
                                ),
                            }
                        } else if let BinaryFunc::DatePartTime(_) = *func
                            && expr1.is_literal()
                        {
                            let units = expr1.as_literal_str().unwrap();
                            *e = match units.parse::<DateTimeUnits>() {
                                Ok(units) => MirScalarExpr::CallUnary {
                                    func: UnaryFunc::DatePartTime(func::DatePartTime(units)),
                                    expr: Box::new(expr2.take()),
                                },
                                Err(_) => MirScalarExpr::literal(
                                    Err(EvalError::UnknownUnits(units.into())),
                                    e.typ(column_types).scalar_type,
                                ),
                            }
                        } else if let BinaryFunc::DatePartTimestamp(_) = *func
                            && expr1.is_literal()
                        {
                            let units = expr1.as_literal_str().unwrap();
                            *e = match units.parse::<DateTimeUnits>() {
                                Ok(units) => MirScalarExpr::CallUnary {
                                    func: UnaryFunc::DatePartTimestamp(func::DatePartTimestamp(
                                        units,
                                    )),
                                    expr: Box::new(expr2.take()),
                                },
                                Err(_) => MirScalarExpr::literal(
                                    Err(EvalError::UnknownUnits(units.into())),
                                    e.typ(column_types).scalar_type,
                                ),
                            }
                        } else if let BinaryFunc::DatePartTimestampTz(_) = *func
                            && expr1.is_literal()
                        {
                            let units = expr1.as_literal_str().unwrap();
                            *e = match units.parse::<DateTimeUnits>() {
                                Ok(units) => MirScalarExpr::CallUnary {
                                    func: UnaryFunc::DatePartTimestampTz(
                                        func::DatePartTimestampTz(units),
                                    ),
                                    expr: Box::new(expr2.take()),
                                },
                                Err(_) => MirScalarExpr::literal(
                                    Err(EvalError::UnknownUnits(units.into())),
                                    e.typ(column_types).scalar_type,
                                ),
                            }
                        } else if let BinaryFunc::DateTruncTimestamp(_) = *func
                            && expr1.is_literal()
                        {
                            let units = expr1.as_literal_str().unwrap();
                            *e = match units.parse::<DateTimeUnits>() {
                                Ok(units) => MirScalarExpr::CallUnary {
                                    func: UnaryFunc::DateTruncTimestamp(func::DateTruncTimestamp(
                                        units,
                                    )),
                                    expr: Box::new(expr2.take()),
                                },
                                Err(_) => MirScalarExpr::literal(
                                    Err(EvalError::UnknownUnits(units.into())),
                                    e.typ(column_types).scalar_type,
                                ),
                            }
                        } else if let BinaryFunc::DateTruncTimestampTz(_) = *func
                            && expr1.is_literal()
                        {
                            let units = expr1.as_literal_str().unwrap();
                            *e = match units.parse::<DateTimeUnits>() {
                                Ok(units) => MirScalarExpr::CallUnary {
                                    func: UnaryFunc::DateTruncTimestampTz(
                                        func::DateTruncTimestampTz(units),
                                    ),
                                    expr: Box::new(expr2.take()),
                                },
                                Err(_) => MirScalarExpr::literal(
                                    Err(EvalError::UnknownUnits(units.into())),
                                    e.typ(column_types).scalar_type,
                                ),
                            }
                        } else if matches!(func, BinaryFunc::TimezoneTimestampBinary(_))
                            && expr1.is_literal()
                        {
                            // If the timezone argument is a literal, and we're applying the function on many rows at the same
                            // time we really don't want to parse it again and again, so we parse it once and embed it into the
                            // UnaryFunc enum. The memory footprint of Timezone is small (8 bytes).
                            let tz = expr1.as_literal_str().unwrap();
                            *e = match parse_timezone(tz, TimezoneSpec::Posix) {
                                Ok(tz) => MirScalarExpr::CallUnary {
                                    func: UnaryFunc::TimezoneTimestamp(func::TimezoneTimestamp(tz)),
                                    expr: Box::new(expr2.take()),
                                },
                                Err(err) => MirScalarExpr::literal(
                                    Err(err),
                                    e.typ(column_types).scalar_type,
                                ),
                            }
                        } else if matches!(func, BinaryFunc::TimezoneTimestampTzBinary(_))
                            && expr1.is_literal()
                        {
                            let tz = expr1.as_literal_str().unwrap();
                            *e = match parse_timezone(tz, TimezoneSpec::Posix) {
                                Ok(tz) => MirScalarExpr::CallUnary {
                                    func: UnaryFunc::TimezoneTimestampTz(
                                        func::TimezoneTimestampTz(tz),
                                    ),
                                    expr: Box::new(expr2.take()),
                                },
                                Err(err) => MirScalarExpr::literal(
                                    Err(err),
                                    e.typ(column_types).scalar_type,
                                ),
                            }
                        } else if let BinaryFunc::ToCharTimestamp(_) = *func
                            && expr2.is_literal()
                        {
                            let format_str = expr2.as_literal_str().unwrap();
                            *e = MirScalarExpr::CallUnary {
                                func: UnaryFunc::ToCharTimestamp(func::ToCharTimestamp {
                                    format_string: format_str.to_string(),
                                    format: DateTimeFormat::compile(format_str),
                                }),
                                expr: Box::new(expr1.take()),
                            };
                        } else if let BinaryFunc::ToCharTimestampTz(_) = *func
                            && expr2.is_literal()
                        {
                            let format_str = expr2.as_literal_str().unwrap();
                            *e = MirScalarExpr::CallUnary {
                                func: UnaryFunc::ToCharTimestampTz(func::ToCharTimestampTz {
                                    format_string: format_str.to_string(),
                                    format: DateTimeFormat::compile(format_str),
                                }),
                                expr: Box::new(expr1.take()),
                            };
                        } else if matches!(*func, BinaryFunc::Eq(_) | BinaryFunc::NotEq(_))
                            && expr2 < expr1
                        {
                            // Canonically order elements so that deduplication works better.
                            // Also, the below `Literal([c1, c2]) = record_create(e1, e2)` matching
                            // relies on this canonical ordering.
                            mem::swap(expr1, expr2);
                        } else if let (
                            BinaryFunc::Eq(_),
                            MirScalarExpr::Literal(
                                Ok(lit_row),
                                ReprColumnType {
                                    scalar_type:
                                        ReprScalarType::Record {
                                            fields: field_types,
                                            ..
                                        },
                                    ..
                                },
                            ),
                            MirScalarExpr::CallVariadic {
                                func: VariadicFunc::RecordCreate(..),
                                exprs: rec_create_args,
                            },
                        ) = (&*func, &**expr1, &**expr2)
                        {
                            // Literal([c1, c2]) = record_create(e1, e2)
                            //  -->
                            // c1 = e1 AND c2 = e2
                            //
                            // (Records are represented as lists.)
                            //
                            // `MapFilterProject::literal_constraints` relies on this transform,
                            // because `(e1,e2) IN ((1,2))` is desugared using `record_create`.
                            match lit_row.unpack_first() {
                                Datum::List(datum_list) => {
                                    *e = MirScalarExpr::call_variadic(
                                        And,
                                        datum_list
                                            .iter()
                                            .zip_eq(field_types)
                                            .zip_eq(rec_create_args)
                                            .map(|((d, typ), a)| {
                                                MirScalarExpr::literal_ok(
                                                    d,
                                                    typ.scalar_type.clone(),
                                                )
                                                .call_binary(a.clone(), func::Eq)
                                            })
                                            .collect(),
                                    );
                                }
                                _ => {}
                            }
                        } else if let (
                            BinaryFunc::Eq(_),
                            MirScalarExpr::CallVariadic {
                                func: VariadicFunc::RecordCreate(..),
                                exprs: rec_create_args1,
                            },
                            MirScalarExpr::CallVariadic {
                                func: VariadicFunc::RecordCreate(..),
                                exprs: rec_create_args2,
                            },
                        ) = (&*func, &**expr1, &**expr2)
                        {
                            // record_create(a1, a2, ...) = record_create(b1, b2, ...)
                            //  -->
                            // a1 = b1 AND a2 = b2 AND ...
                            //
                            // This is similar to the previous reduction, but this one kicks in also
                            // when only some (or none) of the record fields are literals. This
                            // enables the discovery of literal constraints for those fields.
                            //
                            // Note that there is a similar decomposition in
                            // `mz_sql::plan::transform_ast::Desugarer`, but that is earlier in the
                            // pipeline than the compilation of IN lists to `record_create`.
                            *e = MirScalarExpr::call_variadic(
                                And,
                                rec_create_args1
                                    .into_iter()
                                    .zip_eq(rec_create_args2)
                                    .map(|(a, b)| a.clone().call_binary(b.clone(), func::Eq))
                                    .collect(),
                            )
                        }
                    }
                    MirScalarExpr::CallVariadic { .. } => {
                        e.flatten_associative();
                        let (func, exprs) = match e {
                            MirScalarExpr::CallVariadic { func, exprs } => (func, exprs),
                            _ => unreachable!("`flatten_associative` shouldn't change node type"),
                        };
                        if *func == Coalesce.into() {
                            // If all inputs are null, output is null. This check must
                            // be done before `exprs.retain...` because `e.typ` requires
                            // > 0 `exprs` remain.
                            if exprs.iter().all(|expr| expr.is_literal_null()) {
                                *e = MirScalarExpr::literal_null(e.typ(column_types).scalar_type);
                                return;
                            }

                            // Remove any null values if not all values are null.
                            exprs.retain(|e| !e.is_literal_null());

                            // Find the first argument that is a literal or non-nullable
                            // column. All arguments after it get ignored, so throw them
                            // away. This intentionally throws away errors that can
                            // never happen.
                            if let Some(i) = exprs
                                .iter()
                                .position(|e| e.is_literal() || !e.typ(column_types).nullable)
                            {
                                exprs.truncate(i + 1);
                            }

                            // Deduplicate arguments in cases like `coalesce(#0, #0)`.
                            let mut prior_exprs = BTreeSet::new();
                            exprs.retain(|e| prior_exprs.insert(e.clone()));

                            if exprs.len() == 1 {
                                // Only one argument, so the coalesce is a no-op.
                                *e = exprs[0].take();
                            }
                        } else if exprs.iter().all(|e| e.is_literal()) {
                            *e = eval(e);
                        } else if func.propagates_nulls()
                            && exprs.iter().any(|e| e.is_literal_null())
                        {
                            *e = MirScalarExpr::literal_null(e.typ(column_types).scalar_type);
                        } else if let Some(err) = exprs.iter().find_map(|e| e.as_literal_err()) {
                            *e = MirScalarExpr::literal(
                                Err(err.clone()),
                                e.typ(column_types).scalar_type,
                            );
                        } else if *func == RegexpMatch.into()
                            && exprs[1].is_literal()
                            && exprs.get(2).map_or(true, |e| e.is_literal())
                        {
                            let needle = exprs[1].as_literal_str().unwrap();
                            let flags = match exprs.len() {
                                3 => exprs[2].as_literal_str().unwrap(),
                                _ => "",
                            };
                            *e = match func::build_regex(needle, flags) {
                                Ok(regex) => mem::take(exprs)
                                    .into_first()
                                    .call_unary(UnaryFunc::RegexpMatch(func::RegexpMatch(regex))),
                                Err(err) => MirScalarExpr::literal(
                                    Err(err),
                                    e.typ(column_types).scalar_type,
                                ),
                            };
                        } else if *func == RegexpReplace.into()
                            && exprs[1].is_literal()
                            && exprs.get(3).map_or(true, |e| e.is_literal())
                        {
                            let pattern = exprs[1].as_literal_str().unwrap();
                            let flags = exprs
                                .get(3)
                                .map_or("", |expr| expr.as_literal_str().unwrap());
                            let (limit, flags) = regexp_replace_parse_flags(flags);

                            // The behavior of `regexp_replace` is that if the data is `NULL`, the
                            // function returns `NULL`, independently of whether the pattern or
                            // flags are correct. We need to check for this case and introduce an
                            // if-then-else on the error path to only surface the error if the first
                            // input is non-NULL.
                            *e = match func::build_regex(pattern, &flags) {
                                Ok(regex) => {
                                    let mut exprs = mem::take(exprs);
                                    let replacement = exprs.swap_remove(2);
                                    let source = exprs.swap_remove(0);
                                    source.call_binary(
                                        replacement,
                                        BinaryFunc::from(func::RegexpReplace { regex, limit }),
                                    )
                                }
                                Err(err) => {
                                    let mut exprs = mem::take(exprs);
                                    let source = exprs.swap_remove(0);
                                    let scalar_type = e.typ(column_types).scalar_type;
                                    // We need to return `NULL` on `NULL` input, and error otherwise.
                                    source.call_is_null().if_then_else(
                                        MirScalarExpr::literal_null(scalar_type.clone()),
                                        MirScalarExpr::literal(Err(err), scalar_type),
                                    )
                                }
                            };
                        } else if *func == RegexpSplitToArray.into()
                            && exprs[1].is_literal()
                            && exprs.get(2).map_or(true, |e| e.is_literal())
                        {
                            let needle = exprs[1].as_literal_str().unwrap();
                            let flags = match exprs.len() {
                                3 => exprs[2].as_literal_str().unwrap(),
                                _ => "",
                            };
                            *e = match func::build_regex(needle, flags) {
                                Ok(regex) => mem::take(exprs).into_first().call_unary(
                                    UnaryFunc::RegexpSplitToArray(func::RegexpSplitToArray(regex)),
                                ),
                                Err(err) => MirScalarExpr::literal(
                                    Err(err),
                                    e.typ(column_types).scalar_type,
                                ),
                            };
                        } else if *func == ListIndex.into() && is_list_create_call(&exprs[0]) {
                            // We are looking for ListIndex(ListCreate, literal), and eliminate
                            // both the ListIndex and the ListCreate. E.g.: `LIST[f1,f2][2]` --> `f2`
                            let ind_exprs = exprs.split_off(1);
                            let top_list_create = exprs.swap_remove(0);
                            *e = reduce_list_create_list_index_literal(top_list_create, ind_exprs);
                        } else if *func == Or.into() || *func == And.into() {
                            // Note: It's important that we have called `flatten_associative` above.
                            e.undistribute_and_or();
                            e.reduce_and_canonicalize_and_or();
                        } else if let VariadicFunc::TimezoneTimeVariadic(_) = func {
                            if exprs[0].is_literal() && exprs[2].is_literal_ok() {
                                let tz = exprs[0].as_literal_str().unwrap();
                                *e = match parse_timezone(tz, TimezoneSpec::Posix) {
                                    Ok(tz) => MirScalarExpr::CallUnary {
                                        func: UnaryFunc::TimezoneTime(func::TimezoneTime {
                                            tz,
                                            wall_time: exprs[2]
                                                .as_literal()
                                                .unwrap()
                                                .unwrap()
                                                .unwrap_timestamptz()
                                                .naive_utc(),
                                        }),
                                        expr: Box::new(exprs[1].take()),
                                    },
                                    Err(err) => MirScalarExpr::literal(
                                        Err(err),
                                        e.typ(column_types).scalar_type,
                                    ),
                                }
                            }
                        }
                    }
                    MirScalarExpr::If { cond, then, els } => {
                        if let Some(literal) = cond.as_literal() {
                            match literal {
                                Ok(Datum::True) => *e = then.take(),
                                Ok(Datum::False) | Ok(Datum::Null) => *e = els.take(),
                                Err(err) => {
                                    *e = MirScalarExpr::Literal(
                                        Err(err.clone()),
                                        then.typ(column_types)
                                            .union(&els.typ(column_types))
                                            .unwrap(),
                                    )
                                }
                                _ => unreachable!(),
                            }
                        } else if then == els {
                            *e = then.take();
                        } else if then.is_literal_ok()
                            && els.is_literal_ok()
                            && then.typ(column_types).scalar_type == ReprScalarType::Bool
                            && els.typ(column_types).scalar_type == ReprScalarType::Bool
                        {
                            match (then.as_literal(), els.as_literal()) {
                                // Note: NULLs from the condition should not be propagated to the result
                                // of the expression.
                                (Some(Ok(Datum::True)), _) => {
                                    // Rewritten as ((<cond> IS NOT NULL) AND (<cond>)) OR (<els>)
                                    // NULL <cond> results in: (FALSE AND NULL) OR (<els>) => (<els>)
                                    *e = cond
                                        .clone()
                                        .call_is_null()
                                        .not()
                                        .and(cond.take())
                                        .or(els.take());
                                }
                                (Some(Ok(Datum::False)), _) => {
                                    // Rewritten as ((NOT <cond>) OR (<cond> IS NULL)) AND (<els>)
                                    // NULL <cond> results in: (NULL OR TRUE) AND (<els>) => TRUE AND (<els>) => (<els>)
                                    *e = cond
                                        .clone()
                                        .not()
                                        .or(cond.take().call_is_null())
                                        .and(els.take());
                                }
                                (_, Some(Ok(Datum::True))) => {
                                    // Rewritten as (NOT <cond>) OR (<cond> IS NULL) OR (<then>)
                                    // NULL <cond> results in: NULL OR TRUE OR (<then>) => TRUE
                                    *e = cond
                                        .clone()
                                        .not()
                                        .or(cond.take().call_is_null())
                                        .or(then.take());
                                }
                                (_, Some(Ok(Datum::False))) => {
                                    // Rewritten as (<cond> IS NOT NULL) AND (<cond>) AND (<then>)
                                    // NULL <cond> results in: FALSE AND NULL AND (<then>) => FALSE
                                    *e = cond
                                        .clone()
                                        .call_is_null()
                                        .not()
                                        .and(cond.take())
                                        .and(then.take());
                                }
                                _ => {}
                            }
                        } else {
                            // Equivalent expression structure would allow us to push the `If` into the expression.
                            // For example, `IF <cond> THEN x = y ELSE x = z` becomes `x = IF <cond> THEN y ELSE z`.
                            //
                            // We have to also make sure that the expressions that will end up in
                            // the two `If` branches have unionable types. Otherwise, the `If` could
                            // not be typed by `typ`. An example where this could cause an issue is
                            // when pulling out `cast_jsonbable_to_jsonb`, which accepts a wide
                            // range of input types. (In theory, we could still do the optimization
                            // in this case by inserting appropriate casts, but this corner case is
                            // not worth the complication for now.)
                            // See https://github.com/MaterializeInc/database-issues/issues/9182
                            match (&mut **then, &mut **els) {
                                (
                                    MirScalarExpr::CallUnary { func: f1, expr: e1 },
                                    MirScalarExpr::CallUnary { func: f2, expr: e2 },
                                ) if f1 == f2 && e1.typ(column_types) == e2.typ(column_types) => {
                                    *e = cond
                                        .take()
                                        .if_then_else(e1.take(), e2.take())
                                        .call_unary(f1.clone());
                                }
                                (
                                    MirScalarExpr::CallBinary {
                                        func: f1,
                                        expr1: e1a,
                                        expr2: e2a,
                                    },
                                    MirScalarExpr::CallBinary {
                                        func: f2,
                                        expr1: e1b,
                                        expr2: e2b,
                                    },
                                ) if f1 == f2
                                    && e1a == e1b
                                    && e2a.typ(column_types) == e2b.typ(column_types) =>
                                {
                                    *e = e1a.take().call_binary(
                                        cond.take().if_then_else(e2a.take(), e2b.take()),
                                        f1.clone(),
                                    );
                                }
                                (
                                    MirScalarExpr::CallBinary {
                                        func: f1,
                                        expr1: e1a,
                                        expr2: e2a,
                                    },
                                    MirScalarExpr::CallBinary {
                                        func: f2,
                                        expr1: e1b,
                                        expr2: e2b,
                                    },
                                ) if f1 == f2
                                    && e2a == e2b
                                    && e1a.typ(column_types) == e1b.typ(column_types) =>
                                {
                                    *e = cond
                                        .take()
                                        .if_then_else(e1a.take(), e1b.take())
                                        .call_binary(e2a.take(), f1.clone());
                                }
                                _ => {}
                            }
                        }
                    }
                },
            );
        }

        /* #region `reduce_list_create_list_index_literal` and helper functions */

        fn list_create_type(list_create: &MirScalarExpr) -> ReprScalarType {
            if let MirScalarExpr::CallVariadic {
                func: VariadicFunc::ListCreate(ListCreate { elem_type: typ }),
                ..
            } = list_create
            {
                ReprScalarType::from(typ)
            } else {
                unreachable!()
            }
        }

        fn is_list_create_call(expr: &MirScalarExpr) -> bool {
            matches!(
                expr,
                MirScalarExpr::CallVariadic {
                    func: VariadicFunc::ListCreate(..),
                    ..
                }
            )
        }

        /// Partial-evaluates a list indexing with a literal directly after a list creation.
        ///
        /// Multi-dimensional lists are handled by a single call to this function, with multiple
        /// elements in index_exprs (of which not all need to be literals), and nested ListCreates
        /// in list_create_to_reduce.
        ///
        /// # Examples
        ///
        /// `LIST[f1,f2][2]` --> `f2`.
        ///
        /// A multi-dimensional list, with only some of the indexes being literals:
        /// `LIST[[[f1, f2], [f3, f4]], [[f5, f6], [f7, f8]]] [2][n][2]` --> `LIST[f6, f8] [n]`
        ///
        /// See more examples in list.slt.
        fn reduce_list_create_list_index_literal(
            mut list_create_to_reduce: MirScalarExpr,
            mut index_exprs: Vec<MirScalarExpr>,
        ) -> MirScalarExpr {
            // We iterate over the index_exprs and remove literals, but keep non-literals.
            // When we encounter a non-literal, we need to dig into the nested ListCreates:
            // `list_create_mut_refs` will contain all the ListCreates of the current level. If an
            // element of `list_create_mut_refs` is not actually a ListCreate, then we break out of
            // the loop. When we remove a literal, we need to partial-evaluate all ListCreates
            // that are at the current level (except those that disappeared due to
            // literals at earlier levels), index into them with the literal, and change each
            // element in `list_create_mut_refs` to the result.
            // We also record mut refs to all the earlier `element_type` references that we have
            // seen in ListCreate calls, because when we process a literal index, we need to remove
            // one layer of list type from all these earlier ListCreate `element_type`s.
            let mut list_create_mut_refs = vec![&mut list_create_to_reduce];
            let mut earlier_list_create_types: Vec<&mut SqlScalarType> = vec![];
            let mut i = 0;
            while i < index_exprs.len()
                && list_create_mut_refs
                    .iter()
                    .all(|lc| is_list_create_call(lc))
            {
                if index_exprs[i].is_literal_ok() {
                    // We can remove this index.
                    let removed_index = index_exprs.remove(i);
                    let index_i64 = match removed_index.as_literal().unwrap().unwrap() {
                        Datum::Int64(sql_index_i64) => sql_index_i64 - 1,
                        _ => unreachable!(), // always an Int64, see plan_index_list
                    };
                    // For each list_create referenced by list_create_mut_refs, substitute it by its
                    // `index`th argument (or null).
                    for list_create in &mut list_create_mut_refs {
                        let list_create_args = match list_create {
                            MirScalarExpr::CallVariadic {
                                func: VariadicFunc::ListCreate(ListCreate { elem_type: _ }),
                                exprs,
                            } => exprs,
                            _ => unreachable!(), // func cannot be anything else than a ListCreate
                        };
                        // ListIndex gives null on an out-of-bounds index
                        if index_i64 >= 0 && index_i64 < list_create_args.len().try_into().unwrap()
                        {
                            let index: usize = index_i64.try_into().unwrap();
                            **list_create = list_create_args.swap_remove(index);
                        } else {
                            let typ = list_create_type(list_create);
                            **list_create = MirScalarExpr::literal_null(typ);
                        }
                    }
                    // Peel one layer off of each of the earlier element types.
                    for t in earlier_list_create_types.iter_mut() {
                        if let SqlScalarType::List {
                            element_type,
                            custom_id: _,
                        } = t
                        {
                            **t = *element_type.clone();
                            // These are not the same types anymore, so remove custom_ids all the
                            // way down.
                            let mut u = &mut **t;
                            while let SqlScalarType::List {
                                element_type,
                                custom_id,
                            } = u
                            {
                                *custom_id = None;
                                u = &mut **element_type;
                            }
                        } else {
                            unreachable!("already matched below");
                        }
                    }
                } else {
                    // We can't remove this index, so we can't reduce any of the ListCreates at this
                    // level. So we change list_create_mut_refs to refer to all the arguments of all
                    // the ListCreates currently referenced by list_create_mut_refs.
                    list_create_mut_refs = list_create_mut_refs
                        .into_iter()
                        .flat_map(|list_create| match list_create {
                            MirScalarExpr::CallVariadic {
                                func: VariadicFunc::ListCreate(ListCreate { elem_type }),
                                exprs: list_create_args,
                            } => {
                                earlier_list_create_types.push(elem_type);
                                list_create_args
                            }
                            // func cannot be anything else than a ListCreate
                            _ => unreachable!(),
                        })
                        .collect();
                    i += 1; // next index_expr
                }
            }
            // If all list indexes have been evaluated, return the reduced expression.
            // Otherwise, rebuild the ListIndex call with the remaining ListCreates and indexes.
            if index_exprs.is_empty() {
                assert_eq!(list_create_mut_refs.len(), 1);
                list_create_to_reduce
            } else {
                MirScalarExpr::call_variadic(
                    ListIndex,
                    std::iter::once(list_create_to_reduce)
                        .chain(index_exprs)
                        .collect(),
                )
            }
        }

        /* #endregion */
    }

    /// Decompose an IsNull expression into a disjunction of
    /// simpler expressions.
    ///
    /// Assumes that `self` is the expression inside of an IsNull.
    /// Returns `Some(expressions)` if the outer IsNull is to be
    /// replaced by some other expression. Note: if it returns
    /// None, it might still have mutated *self.
    fn decompose_is_null(&mut self) -> Option<MirScalarExpr> {
        // TODO: allow simplification of unmaterializable functions

        match self {
            MirScalarExpr::CallUnary {
                func,
                expr: inner_expr,
            } => {
                if !func.introduces_nulls() {
                    if func.propagates_nulls() {
                        *self = inner_expr.take();
                        return self.decompose_is_null();
                    } else {
                        // We can simplify to `false`, because the function simply can't produce
                        // nulls at all. This is because
                        // - !propagates_nulls means that the input type of the Rust function is not
                        //   nullable, so the automatic null propagation won't kick in;
                        // - !introduces_nulls means that the output type of the Rust function is
                        //   not nullable, so the Rust function can't produce a null manually either.
                        //
                        // Note that we can't do this same optimization for binary and variadic
                        // functions. This is because for binary and variadic functions the value of
                        // propagates_nulls and introduces_nulls is not derived solely from the
                        // input/output type nullabilities, but instead depends on what the Rust
                        // function does. For example, list concatenation neither introduces nor
                        // propagates nulls, but it can produce a null:
                        // - It does not introduce nulls, because if both input lists are not null,
                        //   then it will produce a list.
                        // - It does not propagate nulls, because giving a null as just one of the
                        //   arguments returns the other argument instead of null.
                        // - It does produce a null if both arguments are null.
                        return Some(MirScalarExpr::literal_false());
                    }
                }
            }
            MirScalarExpr::CallBinary { func, expr1, expr2 } => {
                // (<expr1> <op> <expr2>) IS NULL can often be simplified to
                // (<expr1> IS NULL) OR (<expr2> IS NULL).
                if func.propagates_nulls() && !func.introduces_nulls() {
                    let expr1 = expr1.take().call_is_null();
                    let expr2 = expr2.take().call_is_null();
                    return Some(expr1.or(expr2));
                }
            }
            MirScalarExpr::CallVariadic { func, exprs } => {
                if func.propagates_nulls() && !func.introduces_nulls() {
                    let exprs = exprs.into_iter().map(|e| e.take().call_is_null()).collect();
                    return Some(MirScalarExpr::call_variadic(Or, exprs));
                }
            }
            _ => {}
        }

        None
    }

    /// Flattens a chain of calls to associative variadic functions
    /// (For example: ORs or ANDs)
    pub fn flatten_associative(&mut self) {
        match self {
            MirScalarExpr::CallVariadic {
                exprs: outer_operands,
                func: outer_func,
            } if outer_func.is_associative() => {
                *outer_operands = outer_operands
                    .into_iter()
                    .flat_map(|o| {
                        if let MirScalarExpr::CallVariadic {
                            exprs: inner_operands,
                            func: inner_func,
                        } = o
                        {
                            if *inner_func == *outer_func {
                                mem::take(inner_operands)
                            } else {
                                vec![o.take()]
                            }
                        } else {
                            vec![o.take()]
                        }
                    })
                    .collect();
            }
            _ => {}
        }
    }

    /* #region AND/OR canonicalization and transformations  */

    /// Canonicalizes AND/OR, and does some straightforward simplifications
    fn reduce_and_canonicalize_and_or(&mut self) {
        // We do this until fixed point, because after undistribute_and_or calls us, it relies on
        // the property that self is not an 1-arg AND/OR. Just one application of our loop body
        // can't ensure this, because the application itself might create a 1-arg AND/OR.
        let mut old_self = MirScalarExpr::column(0);
        while old_self != *self {
            old_self = self.clone();
            match self {
                MirScalarExpr::CallVariadic {
                    func: func @ (VariadicFunc::And(_) | VariadicFunc::Or(_)),
                    exprs,
                } => {
                    // Canonically order elements so that various deduplications work better,
                    // e.g., in undistribute_and_or.
                    // Also, extract_equal_or_both_null_inner depends on the args being sorted.
                    exprs.sort();

                    // x AND/OR x --> x
                    exprs.dedup(); // this also needs the above sorting

                    if exprs.len() == 1 {
                        // AND/OR of 1 argument evaluates to that argument
                        *self = exprs.swap_remove(0);
                    } else if exprs.len() == 0 {
                        // AND/OR of 0 arguments evaluates to true/false
                        *self = func.unit_of_and_or();
                    } else if exprs.iter().any(|e| *e == func.zero_of_and_or()) {
                        // short-circuiting
                        *self = func.zero_of_and_or();
                    } else {
                        // a AND true --> a
                        // a OR false --> a
                        exprs.retain(|e| *e != func.unit_of_and_or());
                    }
                }
                _ => {}
            }
        }
    }

    /// Transforms !(a && b) into !a || !b, and !(a || b) into !a && !b
    fn demorgans(&mut self) {
        if let MirScalarExpr::CallUnary {
            expr: inner,
            func: UnaryFunc::Not(func::Not),
        } = self
        {
            inner.flatten_associative();
            match &mut **inner {
                MirScalarExpr::CallVariadic {
                    func: inner_func @ (VariadicFunc::And(_) | VariadicFunc::Or(_)),
                    exprs,
                } => {
                    *inner_func = inner_func.switch_and_or();
                    *exprs = exprs.into_iter().map(|e| e.take().not()).collect();
                    *self = (*inner).take(); // Removes the outer not
                }
                _ => {}
            }
        }
    }

    /// AND/OR undistribution (factoring out) to apply at each `MirScalarExpr`.
    ///
    /// This method attempts to apply one of the [distribution laws][distributivity]
    /// (in a direction opposite to the their name):
    /// ```text
    /// (a && b) || (a && c) --> a && (b || c)  // Undistribute-OR
    /// (a || b) && (a || c) --> a || (b && c)  // Undistribute-AND
    /// ```
    /// or one of their corresponding two [absorption law][absorption] special
    /// cases:
    /// ```text
    /// a || (a && c)  -->  a  // Absorb-OR
    /// a && (a || c)  -->  a  // Absorb-AND
    /// ```
    ///
    /// The method also works with more than 2 arguments at the top, e.g.
    /// ```text
    /// (a && b) || (a && c) || (a && d)  -->  a && (b || c || d)
    /// ```
    /// It can also factor out only a subset of the top arguments, e.g.
    /// ```text
    /// (a && b) || (a && c) || (d && e)  -->  (a && (b || c)) || (d && e)
    /// ```
    ///
    /// Note that sometimes there are two overlapping possibilities to factor
    /// out from, e.g.
    /// ```text
    /// (a && b) || (a && c) || (d && c)
    /// ```
    /// Here we can factor out `a` from from the 1. and 2. terms, or we can
    /// factor out `c` from the 2. and 3. terms. One of these might lead to
    /// more/better undistribution opportunities later, but we just pick one
    /// locally, because recursively trying out all of them would lead to
    /// exponential run time.
    ///
    /// The local heuristic is that we prefer a candidate that leads to an
    /// absorption, or if there is no such one then we simply pick the first. In
    /// case of multiple absorption candidates, it doesn't matter which one we
    /// pick, because applying an absorption cannot adversely effect the
    /// possibility of applying other absorptions.
    ///
    /// # Assumption
    ///
    /// Assumes that nested chains of AND/OR applications are flattened (this
    /// can be enforced with [`Self::flatten_associative`]).
    ///
    /// # Examples
    ///
    /// Absorb-OR:
    /// ```text
    /// a || (a && c) || (a && d)
    /// -->
    /// a && (true || c || d)
    /// -->
    /// a && true
    /// -->
    /// a
    /// ```
    /// Here only the first step is performed by this method. The rest is done
    /// by [`Self::reduce_and_canonicalize_and_or`] called after us in
    /// `reduce()`.
    ///
    /// [distributivity]: https://en.wikipedia.org/wiki/Distributive_property
    /// [absorption]: https://en.wikipedia.org/wiki/Absorption_law
    fn undistribute_and_or(&mut self) {
        // It wouldn't be strictly necessary to wrap this fn in this loop, because `reduce()` calls
        // us in a loop anyway. However, `reduce()` tries to do many other things, so the loop here
        // improves performance when there are several undistributions to apply in sequence, which
        // can occur in `CanonicalizeMfp` when undoing the DNF.
        let mut old_self = MirScalarExpr::column(0);
        while old_self != *self {
            old_self = self.clone();
            self.reduce_and_canonicalize_and_or(); // We don't want to deal with 1-arg AND/OR at the top
            if let MirScalarExpr::CallVariadic {
                exprs: outer_operands,
                func: outer_func @ (VariadicFunc::Or(_) | VariadicFunc::And(_)),
            } = self
            {
                let inner_func = outer_func.switch_and_or();

                // Make sure that each outer operand is a call to inner_func, by wrapping in a 1-arg
                // call if necessary.
                outer_operands.iter_mut().for_each(|o| {
                    if !matches!(o, MirScalarExpr::CallVariadic {func: f, ..} if *f == inner_func) {
                        *o = MirScalarExpr::CallVariadic {
                            func: inner_func.clone(),
                            exprs: vec![o.take()],
                        };
                    }
                });

                let mut inner_operands_refs: Vec<&mut Vec<MirScalarExpr>> = outer_operands
                    .iter_mut()
                    .map(|o| match o {
                        MirScalarExpr::CallVariadic { func: f, exprs } if *f == inner_func => exprs,
                        _ => unreachable!(), // the wrapping made sure that we'll get a match
                    })
                    .collect();

                // Find inner operands to undistribute, i.e., which are in _all_ of the outer operands.
                let mut intersection = inner_operands_refs
                    .iter()
                    .map(|v| (*v).clone())
                    .reduce(|ops1, ops2| ops1.into_iter().filter(|e| ops2.contains(e)).collect())
                    .unwrap();
                intersection.sort();
                intersection.dedup();

                if !intersection.is_empty() {
                    // Factor out the intersection from all the top-level args.

                    // Remove the intersection from each inner operand vector.
                    inner_operands_refs
                        .iter_mut()
                        .for_each(|ops| (**ops).retain(|o| !intersection.contains(o)));

                    // Simplify terms that now have only 0 or 1 args due to removing the intersection.
                    outer_operands
                        .iter_mut()
                        .for_each(|o| o.reduce_and_canonicalize_and_or());

                    // Add the intersection at the beginning
                    *self = MirScalarExpr::CallVariadic {
                        func: inner_func,
                        exprs: intersection.into_iter().chain_one(self.clone()).collect(),
                    };
                } else {
                    // If the intersection was empty, that means that there is nothing we can factor out
                    // from _all_ the top-level args. However, we might still find something to factor
                    // out from a subset of the top-level args. To find such an opportunity, we look for
                    // duplicates across all inner args, e.g. if we have
                    // `(...) OR (... AND `a` AND ...) OR (...) OR (... AND `a` AND ...)`
                    // then we'll find that `a` occurs in more than one top-level arg, so
                    // `indexes_to_undistribute` will point us to the 2. and 4. top-level args.

                    // Create (inner_operand, index) pairs, where the index is the position in
                    // outer_operands
                    let all_inner_operands = inner_operands_refs
                        .iter()
                        .enumerate()
                        .flat_map(|(i, inner_vec)| inner_vec.iter().map(move |a| ((*a).clone(), i)))
                        .sorted()
                        .collect_vec();

                    // Find inner operand expressions that occur in more than one top-level arg.
                    // Each inner vector in `undistribution_opportunities` will belong to one such inner
                    // operand expression, and it is a set of indexes pointing to top-level args where
                    // that inner operand occurs.
                    let undistribution_opportunities = all_inner_operands
                        .iter()
                        .chunk_by(|(a, _i)| a)
                        .into_iter()
                        .map(|(_a, g)| g.map(|(_a, i)| *i).sorted().dedup().collect_vec())
                        .filter(|g| g.len() > 1)
                        .collect_vec();

                    // Choose one of the inner vectors from `undistribution_opportunities`.
                    let indexes_to_undistribute = undistribution_opportunities
                        .iter()
                        // Let's prefer index sets that directly lead to an absorption.
                        .find(|index_set| {
                            index_set
                                .iter()
                                .any(|i| inner_operands_refs.get(*i).unwrap().len() == 1)
                        })
                        // If we didn't find any absorption, then any index set will do.
                        .or_else(|| undistribution_opportunities.first())
                        .cloned();

                    // In any case, undo the 1-arg wrapping that we did at the beginning.
                    outer_operands
                        .iter_mut()
                        .for_each(|o| o.reduce_and_canonicalize_and_or());

                    if let Some(indexes_to_undistribute) = indexes_to_undistribute {
                        // Found something to undistribute from a subset of the outer operands.
                        // We temporarily remove these from outer_operands, call ourselves on it, and
                        // then push back the result.
                        let mut undistribute_from = MirScalarExpr::CallVariadic {
                            func: outer_func.clone(),
                            exprs: swap_remove_multiple(outer_operands, indexes_to_undistribute),
                        };
                        // By construction, the recursive call is guaranteed to hit
                        // the `!intersection.is_empty()` branch.
                        undistribute_from.undistribute_and_or();
                        // Append the undistributed result to outer operands that were not included in
                        // indexes_to_undistribute.
                        outer_operands.push(undistribute_from);
                    }
                }
            }
        }
    }

    /* #endregion */

    /// Adds any columns that *must* be non-Null for `self` to be non-Null.
    pub fn non_null_requirements(&self, columns: &mut BTreeSet<usize>) {
        match self {
            MirScalarExpr::Column(col, _name) => {
                columns.insert(*col);
            }
            MirScalarExpr::Literal(..) => {}
            MirScalarExpr::CallUnmaterializable(_) => (),
            MirScalarExpr::CallUnary { func, expr } => {
                if func.propagates_nulls() {
                    expr.non_null_requirements(columns);
                }
            }
            MirScalarExpr::CallBinary { func, expr1, expr2 } => {
                if func.propagates_nulls() {
                    expr1.non_null_requirements(columns);
                    expr2.non_null_requirements(columns);
                }
            }
            MirScalarExpr::CallVariadic { func, exprs } => {
                if func.propagates_nulls() {
                    for expr in exprs {
                        expr.non_null_requirements(columns);
                    }
                }
            }
            MirScalarExpr::If { .. } => (),
        }
    }

    pub fn sql_typ(&self, column_types: &[SqlColumnType]) -> SqlColumnType {
        let repr_column_types = column_types.iter().map(ReprColumnType::from).collect_vec();
        SqlColumnType::from_repr(&self.typ(&repr_column_types))
    }

    pub fn typ(&self, column_types: &[ReprColumnType]) -> ReprColumnType {
        match self {
            MirScalarExpr::Column(i, _name) => column_types[*i].clone(),
            MirScalarExpr::Literal(_, typ) => typ.clone(),
            MirScalarExpr::CallUnmaterializable(func) => func.output_type(),
            MirScalarExpr::CallUnary { expr, func } => func.output_type(expr.typ(column_types)),
            MirScalarExpr::CallBinary { expr1, expr2, func } => {
                func.output_type(&[expr1.typ(column_types), expr2.typ(column_types)])
            }
            MirScalarExpr::CallVariadic { exprs, func } => {
                func.output_type(exprs.iter().map(|e| e.typ(column_types)).collect())
            }
            MirScalarExpr::If { cond: _, then, els } => {
                let then_type = then.typ(column_types);
                let else_type = els.typ(column_types);
                then_type.union(&else_type).unwrap()
            }
        }
    }

    pub fn eval<'a>(
        &'a self,
        datums: &[Datum<'a>],
        temp_storage: &'a RowArena,
    ) -> Result<Datum<'a>, EvalError> {
        match self {
            MirScalarExpr::Column(index, _name) => Ok(datums[*index]),
            MirScalarExpr::Literal(res, _column_type) => match res {
                Ok(row) => Ok(row.unpack_first()),
                Err(e) => Err(e.clone()),
            },
            // Unmaterializable functions must be transformed away before
            // evaluation. Their purpose is as a placeholder for data that is
            // not known at plan time but can be inlined before runtime.
            MirScalarExpr::CallUnmaterializable(x) => Err(EvalError::Internal(
                format!("cannot evaluate unmaterializable function: {:?}", x).into(),
            )),
            MirScalarExpr::CallUnary { func, expr } => func.eval(datums, temp_storage, expr),
            MirScalarExpr::CallBinary { func, expr1, expr2 } => {
                func.eval(datums, temp_storage, &[expr1, expr2])
            }
            MirScalarExpr::CallVariadic { func, exprs } => func.eval(datums, temp_storage, exprs),
            MirScalarExpr::If { cond, then, els } => match cond.eval(datums, temp_storage)? {
                Datum::True => then.eval(datums, temp_storage),
                Datum::False | Datum::Null => els.eval(datums, temp_storage),
                d => Err(EvalError::Internal(
                    format!("if condition evaluated to non-boolean datum: {:?}", d).into(),
                )),
            },
        }
    }

    /// True iff the expression contains
    /// `UnmaterializableFunc::MzNow`.
    pub fn contains_temporal(&self) -> bool {
        let mut contains = false;
        self.visit_pre(|e| {
            if let MirScalarExpr::CallUnmaterializable(UnmaterializableFunc::MzNow) = e {
                contains = true;
            }
        });
        contains
    }

    /// True iff the expression contains an `UnmaterializableFunc`.
    pub fn contains_unmaterializable(&self) -> bool {
        let mut contains = false;
        self.visit_pre(|e| {
            if let MirScalarExpr::CallUnmaterializable(_) = e {
                contains = true;
            }
        });
        contains
    }

    /// True iff the expression contains an `UnmaterializableFunc` that is not in the `exceptions`
    /// list.
    pub fn contains_unmaterializable_except(&self, exceptions: &[UnmaterializableFunc]) -> bool {
        let mut contains = false;
        self.visit_pre(|e| match e {
            MirScalarExpr::CallUnmaterializable(f) if !exceptions.contains(f) => contains = true,
            _ => (),
        });
        contains
    }

    /// True iff the expression contains a `Column`.
    pub fn contains_column(&self) -> bool {
        let mut contains = false;
        self.visit_pre(|e| {
            if let MirScalarExpr::Column(_col, _name) = e {
                contains = true;
            }
        });
        contains
    }

    /// True iff the expression contains a `Dummy`.
    pub fn contains_dummy(&self) -> bool {
        let mut contains = false;
        self.visit_pre(|e| {
            if let MirScalarExpr::Literal(row, _) = e {
                if let Ok(row) = row {
                    contains |= row.iter().any(|d| d.contains_dummy());
                }
            }
        });
        contains
    }

    /// The size of the expression as a tree.
    pub fn size(&self) -> usize {
        let mut size = 0;
        self.visit_pre(&mut |_: &MirScalarExpr| {
            size += 1;
        });
        size
    }
}

impl MirScalarExpr {
    /// True iff evaluation could possibly error on non-error input `Datum`.
    pub fn could_error(&self) -> bool {
        match self {
            MirScalarExpr::Column(_col, _name) => false,
            MirScalarExpr::Literal(row, ..) => row.is_err(),
            MirScalarExpr::CallUnmaterializable(_) => true,
            MirScalarExpr::CallUnary { func, expr } => func.could_error() || expr.could_error(),
            MirScalarExpr::CallBinary { func, expr1, expr2 } => {
                func.could_error() || expr1.could_error() || expr2.could_error()
            }
            MirScalarExpr::CallVariadic { func, exprs } => {
                func.could_error() || exprs.iter().any(|e| e.could_error())
            }
            MirScalarExpr::If { cond, then, els } => {
                cond.could_error() || then.could_error() || els.could_error()
            }
        }
    }
}

impl VisitChildren<Self> for MirScalarExpr {
    fn visit_children<F>(&self, mut f: F)
    where
        F: FnMut(&Self),
    {
        use MirScalarExpr::*;
        match self {
            Column(_, _) | Literal(_, _) | CallUnmaterializable(_) => (),
            CallUnary { expr, .. } => {
                f(expr);
            }
            CallBinary { expr1, expr2, .. } => {
                f(expr1);
                f(expr2);
            }
            CallVariadic { exprs, .. } => {
                for expr in exprs {
                    f(expr);
                }
            }
            If { cond, then, els } => {
                f(cond);
                f(then);
                f(els);
            }
        }
    }

    fn visit_mut_children<F>(&mut self, mut f: F)
    where
        F: FnMut(&mut Self),
    {
        use MirScalarExpr::*;
        match self {
            Column(_, _) | Literal(_, _) | CallUnmaterializable(_) => (),
            CallUnary { expr, .. } => {
                f(expr);
            }
            CallBinary { expr1, expr2, .. } => {
                f(expr1);
                f(expr2);
            }
            CallVariadic { exprs, .. } => {
                for expr in exprs {
                    f(expr);
                }
            }
            If { cond, then, els } => {
                f(cond);
                f(then);
                f(els);
            }
        }
    }

    fn try_visit_children<F, E>(&self, mut f: F) -> Result<(), E>
    where
        F: FnMut(&Self) -> Result<(), E>,
        E: From<RecursionLimitError>,
    {
        use MirScalarExpr::*;
        match self {
            Column(_, _) | Literal(_, _) | CallUnmaterializable(_) => (),
            CallUnary { expr, .. } => {
                f(expr)?;
            }
            CallBinary { expr1, expr2, .. } => {
                f(expr1)?;
                f(expr2)?;
            }
            CallVariadic { exprs, .. } => {
                for expr in exprs {
                    f(expr)?;
                }
            }
            If { cond, then, els } => {
                f(cond)?;
                f(then)?;
                f(els)?;
            }
        }
        Ok(())
    }

    fn try_visit_mut_children<F, E>(&mut self, mut f: F) -> Result<(), E>
    where
        F: FnMut(&mut Self) -> Result<(), E>,
        E: From<RecursionLimitError>,
    {
        use MirScalarExpr::*;
        match self {
            Column(_, _) | Literal(_, _) | CallUnmaterializable(_) => (),
            CallUnary { expr, .. } => {
                f(expr)?;
            }
            CallBinary { expr1, expr2, .. } => {
                f(expr1)?;
                f(expr2)?;
            }
            CallVariadic { exprs, .. } => {
                for expr in exprs {
                    f(expr)?;
                }
            }
            If { cond, then, els } => {
                f(cond)?;
                f(then)?;
                f(els)?;
            }
        }
        Ok(())
    }
}

impl MirScalarExpr {
    /// Iterates through references to child expressions.
    pub fn children(&self) -> impl DoubleEndedIterator<Item = &Self> {
        let mut first = None;
        let mut second = None;
        let mut third = None;
        let mut variadic = None;

        use MirScalarExpr::*;
        match self {
            Column(_, _) | Literal(_, _) | CallUnmaterializable(_) => (),
            CallUnary { expr, .. } => {
                first = Some(&**expr);
            }
            CallBinary { expr1, expr2, .. } => {
                first = Some(&**expr1);
                second = Some(&**expr2);
            }
            CallVariadic { exprs, .. } => {
                variadic = Some(exprs);
            }
            If { cond, then, els } => {
                first = Some(&**cond);
                second = Some(&**then);
                third = Some(&**els);
            }
        }

        first
            .into_iter()
            .chain(second)
            .chain(third)
            .chain(variadic.into_iter().flatten())
    }

    /// Iterates through mutable references to child expressions.
    pub fn children_mut(&mut self) -> impl DoubleEndedIterator<Item = &mut Self> {
        let mut first = None;
        let mut second = None;
        let mut third = None;
        let mut variadic = None;

        use MirScalarExpr::*;
        match self {
            Column(_, _) | Literal(_, _) | CallUnmaterializable(_) => (),
            CallUnary { expr, .. } => {
                first = Some(&mut **expr);
            }
            CallBinary { expr1, expr2, .. } => {
                first = Some(&mut **expr1);
                second = Some(&mut **expr2);
            }
            CallVariadic { exprs, .. } => {
                variadic = Some(exprs);
            }
            If { cond, then, els } => {
                first = Some(&mut **cond);
                second = Some(&mut **then);
                third = Some(&mut **els);
            }
        }

        first
            .into_iter()
            .chain(second)
            .chain(third)
            .chain(variadic.into_iter().flatten())
    }

    /// Visits all subexpressions in DFS preorder.
    pub fn visit_pre<F>(&self, mut f: F)
    where
        F: FnMut(&Self),
    {
        let mut worklist = vec![self];
        while let Some(e) = worklist.pop() {
            f(e);
            worklist.extend(e.children().rev());
        }
    }

    /// Iterative pre-order visitor.
    pub fn visit_pre_mut<F: FnMut(&mut Self)>(&mut self, mut f: F) {
        let mut worklist = vec![self];
        while let Some(expr) = worklist.pop() {
            f(expr);
            worklist.extend(expr.children_mut().rev());
        }
    }
}

/// Filter characteristics that are used for ordering join inputs.
/// This can be created for a `Vec<MirScalarExpr>`, which represents an AND of predicates.
///
/// The fields are ordered based on heuristic assumptions about their typical selectivity, so that
/// Ord gives the right ordering for join inputs. Bigger is better, i.e., will tend to come earlier
/// than other inputs.
#[derive(
    Eq,
    PartialEq,
    Ord,
    PartialOrd,
    Debug,
    Clone,
    Serialize,
    Deserialize,
    Hash,
    MzReflect
)]
pub struct FilterCharacteristics {
    // `<expr> = <literal>` appears in the filter.
    // Excludes cases where NOT appears anywhere above the literal equality.
    literal_equality: bool,
    // (Assuming a random string of lower-case characters, `LIKE 'a%'` has a selectivity of 1/26.)
    like: bool,
    is_null: bool,
    // Number of Vec elements that involve inequality predicates. (A BETWEEN is represented as two
    // inequality predicates.)
    // Excludes cases where NOT appears around the literal inequality.
    // Note that for inequality predicates, some databases assume 1/3 selectivity in the absence of
    // concrete statistics.
    literal_inequality: usize,
    /// Any filter, except ones involving `IS NOT NULL`, because those are too common.
    /// Can be true by itself, or any other field being true can also make this true.
    /// `NOT LIKE` is only in this category.
    /// `!=` is only in this category.
    /// `NOT (a = b)` is turned into `!=` by `reduce` before us!
    any_filter: bool,
}

impl BitOrAssign for FilterCharacteristics {
    fn bitor_assign(&mut self, rhs: Self) {
        self.literal_equality |= rhs.literal_equality;
        self.like |= rhs.like;
        self.is_null |= rhs.is_null;
        self.literal_inequality += rhs.literal_inequality;
        self.any_filter |= rhs.any_filter;
    }
}

impl FilterCharacteristics {
    pub fn none() -> FilterCharacteristics {
        FilterCharacteristics {
            literal_equality: false,
            like: false,
            is_null: false,
            literal_inequality: 0,
            any_filter: false,
        }
    }

    pub fn explain(&self) -> String {
        let mut e = "".to_owned();
        if self.literal_equality {
            e.push_str("e");
        }
        if self.like {
            e.push_str("l");
        }
        if self.is_null {
            e.push_str("n");
        }
        for _ in 0..self.literal_inequality {
            e.push_str("i");
        }
        if self.any_filter {
            e.push_str("f");
        }
        e
    }

    pub fn filter_characteristics(
        filters: &Vec<MirScalarExpr>,
    ) -> Result<FilterCharacteristics, RecursionLimitError> {
        let mut literal_equality = false;
        let mut like = false;
        let mut is_null = false;
        let mut literal_inequality = 0;
        let mut any_filter = false;
        filters.iter().try_for_each(|f| {
            let mut literal_inequality_in_current_filter = false;
            let mut is_not_null_in_current_filter = false;
            f.visit_pre_with_context(
                false,
                &mut |not_in_parent_chain, expr| {
                    not_in_parent_chain
                        || matches!(
                            expr,
                            MirScalarExpr::CallUnary {
                                func: UnaryFunc::Not(func::Not),
                                ..
                            }
                        )
                },
                &mut |not_in_parent_chain, expr| {
                    if !not_in_parent_chain {
                        if expr.any_expr_eq_literal().is_some() {
                            literal_equality = true;
                        }
                        if expr.any_expr_ineq_literal() {
                            literal_inequality_in_current_filter = true;
                        }
                        if matches!(
                            expr,
                            MirScalarExpr::CallUnary {
                                func: UnaryFunc::IsLikeMatch(_),
                                ..
                            }
                        ) {
                            like = true;
                        }
                    };
                    if matches!(
                        expr,
                        MirScalarExpr::CallUnary {
                            func: UnaryFunc::IsNull(crate::func::IsNull),
                            ..
                        }
                    ) {
                        if *not_in_parent_chain {
                            is_not_null_in_current_filter = true;
                        } else {
                            is_null = true;
                        }
                    }
                },
            )?;
            if literal_inequality_in_current_filter {
                literal_inequality += 1;
            }
            if !is_not_null_in_current_filter {
                // We want to ignore `IS NOT NULL` for `any_filter`.
                any_filter = true;
            }
            Ok(())
        })?;
        Ok(FilterCharacteristics {
            literal_equality,
            like,
            is_null,
            literal_inequality,
            any_filter,
        })
    }

    pub fn add_literal_equality(&mut self) {
        self.literal_equality = true;
    }

    pub fn worst_case_scaling_factor(&self) -> f64 {
        let mut factor = 1.0;

        if self.literal_equality {
            factor *= 0.1;
        }

        if self.is_null {
            factor *= 0.1;
        }

        if self.literal_inequality >= 2 {
            factor *= 0.25;
        } else if self.literal_inequality == 1 {
            factor *= 0.33;
        }

        // catch various negated filters, treat them pessimistically
        if !(self.literal_equality || self.is_null || self.literal_inequality > 0)
            && self.any_filter
        {
            factor *= 0.9;
        }

        factor
    }
}

#[derive(
    Arbitrary,
    Ord,
    PartialOrd,
    Copy,
    Clone,
    Debug,
    Eq,
    PartialEq,
    Serialize,
    Deserialize,
    Hash,
    MzReflect
)]
pub enum DomainLimit {
    None,
    Inclusive(i64),
    Exclusive(i64),
}

impl RustType<ProtoDomainLimit> for DomainLimit {
    fn into_proto(&self) -> ProtoDomainLimit {
        use proto_domain_limit::Kind::*;
        let kind = match self {
            DomainLimit::None => None(()),
            DomainLimit::Inclusive(v) => Inclusive(*v),
            DomainLimit::Exclusive(v) => Exclusive(*v),
        };
        ProtoDomainLimit { kind: Some(kind) }
    }

    fn from_proto(proto: ProtoDomainLimit) -> Result<Self, TryFromProtoError> {
        use proto_domain_limit::Kind::*;
        if let Some(kind) = proto.kind {
            match kind {
                None(()) => Ok(DomainLimit::None),
                Inclusive(v) => Ok(DomainLimit::Inclusive(v)),
                Exclusive(v) => Ok(DomainLimit::Exclusive(v)),
            }
        } else {
            Err(TryFromProtoError::missing_field("ProtoDomainLimit::kind"))
        }
    }
}

#[derive(
    Arbitrary,
    Ord,
    PartialOrd,
    Clone,
    Debug,
    Eq,
    PartialEq,
    Serialize,
    Deserialize,
    Hash,
    MzReflect
)]
pub enum EvalError {
    CharacterNotValidForEncoding(i32),
    CharacterTooLargeForEncoding(i32),
    DateBinOutOfRange(Box<str>),
    DivisionByZero,
    Unsupported {
        feature: Box<str>,
        discussion_no: Option<usize>,
    },
    FloatOverflow,
    FloatUnderflow,
    NumericFieldOverflow,
    Float32OutOfRange(Box<str>),
    Float64OutOfRange(Box<str>),
    Int16OutOfRange(Box<str>),
    Int32OutOfRange(Box<str>),
    Int64OutOfRange(Box<str>),
    UInt16OutOfRange(Box<str>),
    UInt32OutOfRange(Box<str>),
    UInt64OutOfRange(Box<str>),
    MzTimestampOutOfRange(Box<str>),
    MzTimestampStepOverflow,
    OidOutOfRange(Box<str>),
    IntervalOutOfRange(Box<str>),
    TimestampCannotBeNan,
    TimestampOutOfRange,
    DateOutOfRange,
    CharOutOfRange,
    IndexOutOfRange {
        provided: i32,
        // The last valid index position, i.e. `v.len() - 1`
        valid_end: i32,
    },
    InvalidBase64Equals,
    InvalidBase64Symbol(char),
    InvalidBase64EndSequence,
    InvalidTimezone(Box<str>),
    InvalidTimezoneInterval,
    InvalidTimezoneConversion,
    InvalidIanaTimezoneId(Box<str>),
    InvalidLayer {
        max_layer: usize,
        val: i64,
    },
    InvalidArray(InvalidArrayError),
    InvalidEncodingName(Box<str>),
    InvalidHashAlgorithm(Box<str>),
    InvalidByteSequence {
        byte_sequence: Box<str>,
        encoding_name: Box<str>,
    },
    InvalidJsonbCast {
        from: Box<str>,
        to: Box<str>,
    },
    InvalidRegex(Box<str>),
    InvalidRegexFlag(char),
    InvalidParameterValue(Box<str>),
    InvalidDatePart(Box<str>),
    KeyCannotBeNull,
    NegSqrt,
    NegLimit,
    NullCharacterNotPermitted,
    UnknownUnits(Box<str>),
    UnsupportedUnits(Box<str>, Box<str>),
    UnterminatedLikeEscapeSequence,
    Parse(ParseError),
    ParseHex(ParseHexError),
    Internal(Box<str>),
    InfinityOutOfDomain(Box<str>),
    NegativeOutOfDomain(Box<str>),
    ZeroOutOfDomain(Box<str>),
    OutOfDomain(DomainLimit, DomainLimit, Box<str>),
    ComplexOutOfRange(Box<str>),
    MultipleRowsFromSubquery,
    Undefined(Box<str>),
    LikePatternTooLong,
    LikeEscapeTooLong,
    StringValueTooLong {
        target_type: Box<str>,
        length: usize,
    },
    MultidimensionalArrayRemovalNotSupported,
    IncompatibleArrayDimensions {
        dims: Option<(usize, usize)>,
    },
    TypeFromOid(Box<str>),
    InvalidRange(InvalidRangeError),
    InvalidRoleId(Box<str>),
    InvalidPrivileges(Box<str>),
    InvalidCatalogJson(Box<str>),
    LetRecLimitExceeded(Box<str>),
    MultiDimensionalArraySearch,
    MustNotBeNull(Box<str>),
    InvalidIdentifier {
        ident: Box<str>,
        detail: Option<Box<str>>,
    },
    ArrayFillWrongArraySubscripts,
    // TODO: propagate this check more widely throughout the expr crate
    MaxArraySizeExceeded(usize),
    DateDiffOverflow {
        unit: Box<str>,
        a: Box<str>,
        b: Box<str>,
    },
    // The error for ErrorIfNull; this should not be used in other contexts as a generic error
    // printer.
    IfNullError(Box<str>),
    LengthTooLarge,
    AclArrayNullElement,
    MzAclArrayNullElement,
    PrettyError(Box<str>),
}

impl fmt::Display for EvalError {
    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
        match self {
            EvalError::CharacterNotValidForEncoding(v) => {
                write!(f, "requested character not valid for encoding: {v}")
            }
            EvalError::CharacterTooLargeForEncoding(v) => {
                write!(f, "requested character too large for encoding: {v}")
            }
            EvalError::DateBinOutOfRange(message) => f.write_str(message),
            EvalError::DivisionByZero => f.write_str("division by zero"),
            EvalError::Unsupported {
                feature,
                discussion_no,
            } => {
                write!(f, "{} not yet supported", feature)?;
                if let Some(discussion_no) = discussion_no {
                    write!(
                        f,
                        ", see https://github.com/MaterializeInc/materialize/discussions/{} for more details",
                        discussion_no
                    )?;
                }
                Ok(())
            }
            EvalError::FloatOverflow => f.write_str("value out of range: overflow"),
            EvalError::FloatUnderflow => f.write_str("value out of range: underflow"),
            EvalError::NumericFieldOverflow => f.write_str("numeric field overflow"),
            EvalError::Float32OutOfRange(val) => write!(f, "{} real out of range", val.quoted()),
            EvalError::Float64OutOfRange(val) => {
                write!(f, "{} double precision out of range", val.quoted())
            }
            EvalError::Int16OutOfRange(val) => write!(f, "{} smallint out of range", val.quoted()),
            EvalError::Int32OutOfRange(val) => write!(f, "{} integer out of range", val.quoted()),
            EvalError::Int64OutOfRange(val) => write!(f, "{} bigint out of range", val.quoted()),
            EvalError::UInt16OutOfRange(val) => write!(f, "{} uint2 out of range", val.quoted()),
            EvalError::UInt32OutOfRange(val) => write!(f, "{} uint4 out of range", val.quoted()),
            EvalError::UInt64OutOfRange(val) => write!(f, "{} uint8 out of range", val.quoted()),
            EvalError::MzTimestampOutOfRange(val) => {
                write!(f, "{} mz_timestamp out of range", val.quoted())
            }
            EvalError::MzTimestampStepOverflow => f.write_str("step mz_timestamp overflow"),
            EvalError::OidOutOfRange(val) => write!(f, "{} OID out of range", val.quoted()),
            EvalError::IntervalOutOfRange(val) => {
                write!(f, "{} interval out of range", val.quoted())
            }
            EvalError::TimestampCannotBeNan => f.write_str("timestamp cannot be NaN"),
            EvalError::TimestampOutOfRange => f.write_str("timestamp out of range"),
            EvalError::DateOutOfRange => f.write_str("date out of range"),
            EvalError::CharOutOfRange => f.write_str("\"char\" out of range"),
            EvalError::IndexOutOfRange {
                provided,
                valid_end,
            } => write!(f, "index {provided} out of valid range, 0..{valid_end}",),
            EvalError::InvalidBase64Equals => {
                f.write_str("unexpected \"=\" while decoding base64 sequence")
            }
            EvalError::InvalidBase64Symbol(c) => write!(
                f,
                "invalid symbol \"{}\" found while decoding base64 sequence",
                c.escape_default()
            ),
            EvalError::InvalidBase64EndSequence => f.write_str("invalid base64 end sequence"),
            EvalError::InvalidJsonbCast { from, to } => {
                write!(f, "cannot cast jsonb {} to type {}", from, to)
            }
            EvalError::InvalidTimezone(tz) => write!(f, "invalid time zone '{}'", tz),
            EvalError::InvalidTimezoneInterval => {
                f.write_str("timezone interval must not contain months or years")
            }
            EvalError::InvalidTimezoneConversion => f.write_str("invalid timezone conversion"),
            EvalError::InvalidIanaTimezoneId(tz) => {
                write!(f, "invalid IANA Time Zone Database identifier: '{}'", tz)
            }
            EvalError::InvalidLayer { max_layer, val } => write!(
                f,
                "invalid layer: {}; must use value within [1, {}]",
                val, max_layer
            ),
            EvalError::InvalidArray(e) => e.fmt(f),
            EvalError::InvalidEncodingName(name) => write!(f, "invalid encoding name '{}'", name),
            EvalError::InvalidHashAlgorithm(alg) => write!(f, "invalid hash algorithm '{}'", alg),
            EvalError::InvalidByteSequence {
                byte_sequence,
                encoding_name,
            } => write!(
                f,
                "invalid byte sequence '{}' for encoding '{}'",
                byte_sequence, encoding_name
            ),
            EvalError::InvalidDatePart(part) => write!(f, "invalid datepart {}", part.quoted()),
            EvalError::KeyCannotBeNull => f.write_str("key cannot be null"),
            EvalError::NegSqrt => f.write_str("cannot take square root of a negative number"),
            EvalError::NegLimit => f.write_str("LIMIT must not be negative"),
            EvalError::NullCharacterNotPermitted => f.write_str("null character not permitted"),
            EvalError::InvalidRegex(e) => write!(f, "invalid regular expression: {}", e),
            EvalError::InvalidRegexFlag(c) => write!(f, "invalid regular expression flag: {}", c),
            EvalError::InvalidParameterValue(s) => f.write_str(s),
            EvalError::UnknownUnits(units) => write!(f, "unit '{}' not recognized", units),
            EvalError::UnsupportedUnits(units, typ) => {
                write!(f, "unit '{}' not supported for type {}", units, typ)
            }
            EvalError::UnterminatedLikeEscapeSequence => {
                f.write_str("unterminated escape sequence in LIKE")
            }
            EvalError::Parse(e) => e.fmt(f),
            EvalError::PrettyError(e) => e.fmt(f),
            EvalError::ParseHex(e) => e.fmt(f),
            EvalError::Internal(s) => write!(f, "internal error: {}", s),
            EvalError::InfinityOutOfDomain(s) => {
                write!(f, "function {} is only defined for finite arguments", s)
            }
            EvalError::NegativeOutOfDomain(s) => {
                write!(f, "function {} is not defined for negative numbers", s)
            }
            EvalError::ZeroOutOfDomain(s) => {
                write!(f, "function {} is not defined for zero", s)
            }
            EvalError::OutOfDomain(lower, upper, s) => {
                use DomainLimit::*;
                write!(f, "function {s} is defined for numbers ")?;
                match (lower, upper) {
                    (Inclusive(n), None) => write!(f, "greater than or equal to {n}"),
                    (Exclusive(n), None) => write!(f, "greater than {n}"),
                    (None, Inclusive(n)) => write!(f, "less than or equal to {n}"),
                    (None, Exclusive(n)) => write!(f, "less than {n}"),
                    (Inclusive(lo), Inclusive(hi)) => write!(f, "between {lo} and {hi} inclusive"),
                    (Exclusive(lo), Exclusive(hi)) => write!(f, "between {lo} and {hi} exclusive"),
                    (Inclusive(lo), Exclusive(hi)) => {
                        write!(f, "between {lo} inclusive and {hi} exclusive")
                    }
                    (Exclusive(lo), Inclusive(hi)) => {
                        write!(f, "between {lo} exclusive and {hi} inclusive")
                    }
                    (None, None) => panic!("invalid domain error"),
                }
            }
            EvalError::ComplexOutOfRange(s) => {
                write!(f, "function {} cannot return complex numbers", s)
            }
            EvalError::MultipleRowsFromSubquery => {
                write!(f, "more than one record produced in subquery")
            }
            EvalError::Undefined(s) => {
                write!(f, "{} is undefined", s)
            }
            EvalError::LikePatternTooLong => {
                write!(f, "LIKE pattern exceeds maximum length")
            }
            EvalError::LikeEscapeTooLong => {
                write!(f, "invalid escape string")
            }
            EvalError::StringValueTooLong {
                target_type,
                length,
            } => {
                write!(f, "value too long for type {}({})", target_type, length)
            }
            EvalError::MultidimensionalArrayRemovalNotSupported => {
                write!(
                    f,
                    "removing elements from multidimensional arrays is not supported"
                )
            }
            EvalError::IncompatibleArrayDimensions { dims: _ } => {
                write!(f, "cannot concatenate incompatible arrays")
            }
            EvalError::TypeFromOid(msg) => write!(f, "{msg}"),
            EvalError::InvalidRange(e) => e.fmt(f),
            EvalError::InvalidRoleId(msg) => write!(f, "{msg}"),
            EvalError::InvalidPrivileges(privilege) => {
                write!(f, "unrecognized privilege type: {privilege}")
            }
            EvalError::InvalidCatalogJson(msg) => {
                write!(f, "invalid catalog JSON: {msg}")
            }
            EvalError::LetRecLimitExceeded(max_iters) => {
                write!(
                    f,
                    "Recursive query exceeded the recursion limit {}. (Use RETURN AT RECURSION LIMIT to not error, but return the current state as the final result when reaching the limit.)",
                    max_iters
                )
            }
            EvalError::MultiDimensionalArraySearch => write!(
                f,
                "searching for elements in multidimensional arrays is not supported"
            ),
            EvalError::MustNotBeNull(v) => write!(f, "{v} must not be null"),
            EvalError::InvalidIdentifier { ident, .. } => {
                write!(f, "string is not a valid identifier: {}", ident.quoted())
            }
            EvalError::ArrayFillWrongArraySubscripts => {
                f.write_str("wrong number of array subscripts")
            }
            EvalError::MaxArraySizeExceeded(max_size) => {
                write!(
                    f,
                    "array size exceeds the maximum allowed ({max_size} bytes)"
                )
            }
            EvalError::DateDiffOverflow { unit, a, b } => {
                write!(f, "datediff overflow, {unit} of {a}, {b}")
            }
            EvalError::IfNullError(s) => f.write_str(s),
            EvalError::LengthTooLarge => write!(f, "requested length too large"),
            EvalError::AclArrayNullElement => write!(f, "ACL arrays must not contain null values"),
            EvalError::MzAclArrayNullElement => {
                write!(f, "MZ_ACL arrays must not contain null values")
            }
        }
    }
}

impl EvalError {
    pub fn detail(&self) -> Option<String> {
        match self {
            EvalError::IncompatibleArrayDimensions { dims: None } => Some(
                "Arrays with differing dimensions are not compatible for concatenation.".into(),
            ),
            EvalError::IncompatibleArrayDimensions {
                dims: Some((a_dims, b_dims)),
            } => Some(format!(
                "Arrays of {} and {} dimensions are not compatible for concatenation.",
                a_dims, b_dims
            )),
            EvalError::InvalidIdentifier { detail, .. } => detail.as_deref().map(Into::into),
            EvalError::ArrayFillWrongArraySubscripts => {
                Some("Low bound array has different size than dimensions array.".into())
            }
            _ => None,
        }
    }

    pub fn hint(&self) -> Option<String> {
        match self {
            EvalError::InvalidBase64EndSequence => Some(
                "Input data is missing padding, is truncated, or is otherwise corrupted.".into(),
            ),
            EvalError::LikeEscapeTooLong => {
                Some("Escape string must be empty or one character.".into())
            }
            EvalError::MzTimestampOutOfRange(_) => Some(
                "Integer, numeric, and text casts to mz_timestamp must be in the form of whole \
                milliseconds since the Unix epoch. Values with fractional parts cannot be \
                converted to mz_timestamp."
                    .into(),
            ),
            _ => None,
        }
    }
}

impl std::error::Error for EvalError {}

impl From<ParseError> for EvalError {
    fn from(e: ParseError) -> EvalError {
        EvalError::Parse(e)
    }
}

impl From<ParseHexError> for EvalError {
    fn from(e: ParseHexError) -> EvalError {
        EvalError::ParseHex(e)
    }
}

impl From<InvalidArrayError> for EvalError {
    fn from(e: InvalidArrayError) -> EvalError {
        EvalError::InvalidArray(e)
    }
}

impl From<RegexCompilationError> for EvalError {
    fn from(e: RegexCompilationError) -> EvalError {
        EvalError::InvalidRegex(e.to_string().into())
    }
}

impl From<TypeFromOidError> for EvalError {
    fn from(e: TypeFromOidError) -> EvalError {
        EvalError::TypeFromOid(e.to_string().into())
    }
}

impl From<DateError> for EvalError {
    fn from(e: DateError) -> EvalError {
        match e {
            DateError::OutOfRange => EvalError::DateOutOfRange,
        }
    }
}

impl From<TimestampError> for EvalError {
    fn from(e: TimestampError) -> EvalError {
        match e {
            TimestampError::OutOfRange => EvalError::TimestampOutOfRange,
        }
    }
}

impl From<InvalidRangeError> for EvalError {
    fn from(e: InvalidRangeError) -> EvalError {
        EvalError::InvalidRange(e)
    }
}

impl RustType<ProtoEvalError> for EvalError {
    fn into_proto(&self) -> ProtoEvalError {
        use proto_eval_error::Kind::*;
        use proto_eval_error::*;
        let kind = match self {
            EvalError::CharacterNotValidForEncoding(v) => CharacterNotValidForEncoding(*v),
            EvalError::CharacterTooLargeForEncoding(v) => CharacterTooLargeForEncoding(*v),
            EvalError::DateBinOutOfRange(v) => DateBinOutOfRange(v.into_proto()),
            EvalError::DivisionByZero => DivisionByZero(()),
            EvalError::Unsupported {
                feature,
                discussion_no,
            } => Unsupported(ProtoUnsupported {
                feature: feature.into_proto(),
                discussion_no: discussion_no.into_proto(),
            }),
            EvalError::FloatOverflow => FloatOverflow(()),
            EvalError::FloatUnderflow => FloatUnderflow(()),
            EvalError::NumericFieldOverflow => NumericFieldOverflow(()),
            EvalError::Float32OutOfRange(val) => Float32OutOfRange(ProtoValueOutOfRange {
                value: val.to_string(),
            }),
            EvalError::Float64OutOfRange(val) => Float64OutOfRange(ProtoValueOutOfRange {
                value: val.to_string(),
            }),
            EvalError::Int16OutOfRange(val) => Int16OutOfRange(ProtoValueOutOfRange {
                value: val.to_string(),
            }),
            EvalError::Int32OutOfRange(val) => Int32OutOfRange(ProtoValueOutOfRange {
                value: val.to_string(),
            }),
            EvalError::Int64OutOfRange(val) => Int64OutOfRange(ProtoValueOutOfRange {
                value: val.to_string(),
            }),
            EvalError::UInt16OutOfRange(val) => Uint16OutOfRange(ProtoValueOutOfRange {
                value: val.to_string(),
            }),
            EvalError::UInt32OutOfRange(val) => Uint32OutOfRange(ProtoValueOutOfRange {
                value: val.to_string(),
            }),
            EvalError::UInt64OutOfRange(val) => Uint64OutOfRange(ProtoValueOutOfRange {
                value: val.to_string(),
            }),
            EvalError::MzTimestampOutOfRange(val) => MzTimestampOutOfRange(ProtoValueOutOfRange {
                value: val.to_string(),
            }),
            EvalError::MzTimestampStepOverflow => MzTimestampStepOverflow(()),
            EvalError::OidOutOfRange(val) => OidOutOfRange(ProtoValueOutOfRange {
                value: val.to_string(),
            }),
            EvalError::IntervalOutOfRange(val) => IntervalOutOfRange(ProtoValueOutOfRange {
                value: val.to_string(),
            }),
            EvalError::TimestampCannotBeNan => TimestampCannotBeNan(()),
            EvalError::TimestampOutOfRange => TimestampOutOfRange(()),
            EvalError::DateOutOfRange => DateOutOfRange(()),
            EvalError::CharOutOfRange => CharOutOfRange(()),
            EvalError::IndexOutOfRange {
                provided,
                valid_end,
            } => IndexOutOfRange(ProtoIndexOutOfRange {
                provided: *provided,
                valid_end: *valid_end,
            }),
            EvalError::InvalidBase64Equals => InvalidBase64Equals(()),
            EvalError::InvalidBase64Symbol(sym) => InvalidBase64Symbol(sym.into_proto()),
            EvalError::InvalidBase64EndSequence => InvalidBase64EndSequence(()),
            EvalError::InvalidTimezone(tz) => InvalidTimezone(tz.into_proto()),
            EvalError::InvalidTimezoneInterval => InvalidTimezoneInterval(()),
            EvalError::InvalidTimezoneConversion => InvalidTimezoneConversion(()),
            EvalError::InvalidLayer { max_layer, val } => InvalidLayer(ProtoInvalidLayer {
                max_layer: max_layer.into_proto(),
                val: *val,
            }),
            EvalError::InvalidArray(error) => InvalidArray(error.into_proto()),
            EvalError::InvalidEncodingName(v) => InvalidEncodingName(v.into_proto()),
            EvalError::InvalidHashAlgorithm(v) => InvalidHashAlgorithm(v.into_proto()),
            EvalError::InvalidByteSequence {
                byte_sequence,
                encoding_name,
            } => InvalidByteSequence(ProtoInvalidByteSequence {
                byte_sequence: byte_sequence.into_proto(),
                encoding_name: encoding_name.into_proto(),
            }),
            EvalError::InvalidJsonbCast { from, to } => InvalidJsonbCast(ProtoInvalidJsonbCast {
                from: from.into_proto(),
                to: to.into_proto(),
            }),
            EvalError::InvalidRegex(v) => InvalidRegex(v.into_proto()),
            EvalError::InvalidRegexFlag(v) => InvalidRegexFlag(v.into_proto()),
            EvalError::InvalidParameterValue(v) => InvalidParameterValue(v.into_proto()),
            EvalError::InvalidDatePart(part) => InvalidDatePart(part.into_proto()),
            EvalError::KeyCannotBeNull => KeyCannotBeNull(()),
            EvalError::NegSqrt => NegSqrt(()),
            EvalError::NegLimit => NegLimit(()),
            EvalError::NullCharacterNotPermitted => NullCharacterNotPermitted(()),
            EvalError::UnknownUnits(v) => UnknownUnits(v.into_proto()),
            EvalError::UnsupportedUnits(units, typ) => UnsupportedUnits(ProtoUnsupportedUnits {
                units: units.into_proto(),
                typ: typ.into_proto(),
            }),
            EvalError::UnterminatedLikeEscapeSequence => UnterminatedLikeEscapeSequence(()),
            EvalError::Parse(error) => Parse(error.into_proto()),
            EvalError::PrettyError(error) => PrettyError(error.into_proto()),
            EvalError::ParseHex(error) => ParseHex(error.into_proto()),
            EvalError::Internal(v) => Internal(v.into_proto()),
            EvalError::InfinityOutOfDomain(v) => InfinityOutOfDomain(v.into_proto()),
            EvalError::NegativeOutOfDomain(v) => NegativeOutOfDomain(v.into_proto()),
            EvalError::ZeroOutOfDomain(v) => ZeroOutOfDomain(v.into_proto()),
            EvalError::OutOfDomain(lower, upper, id) => OutOfDomain(ProtoOutOfDomain {
                lower: Some(lower.into_proto()),
                upper: Some(upper.into_proto()),
                id: id.into_proto(),
            }),
            EvalError::ComplexOutOfRange(v) => ComplexOutOfRange(v.into_proto()),
            EvalError::MultipleRowsFromSubquery => MultipleRowsFromSubquery(()),
            EvalError::Undefined(v) => Undefined(v.into_proto()),
            EvalError::LikePatternTooLong => LikePatternTooLong(()),
            EvalError::LikeEscapeTooLong => LikeEscapeTooLong(()),
            EvalError::StringValueTooLong {
                target_type,
                length,
            } => StringValueTooLong(ProtoStringValueTooLong {
                target_type: target_type.into_proto(),
                length: length.into_proto(),
            }),
            EvalError::MultidimensionalArrayRemovalNotSupported => {
                MultidimensionalArrayRemovalNotSupported(())
            }
            EvalError::IncompatibleArrayDimensions { dims } => {
                IncompatibleArrayDimensions(ProtoIncompatibleArrayDimensions {
                    dims: dims.into_proto(),
                })
            }
            EvalError::TypeFromOid(v) => TypeFromOid(v.into_proto()),
            EvalError::InvalidRange(error) => InvalidRange(error.into_proto()),
            EvalError::InvalidRoleId(v) => InvalidRoleId(v.into_proto()),
            EvalError::InvalidPrivileges(v) => InvalidPrivileges(v.into_proto()),
            EvalError::InvalidCatalogJson(v) => InvalidCatalogJson(v.into_proto()),
            EvalError::LetRecLimitExceeded(v) => WmrRecursionLimitExceeded(v.into_proto()),
            EvalError::MultiDimensionalArraySearch => MultiDimensionalArraySearch(()),
            EvalError::MustNotBeNull(v) => MustNotBeNull(v.into_proto()),
            EvalError::InvalidIdentifier { ident, detail } => {
                InvalidIdentifier(ProtoInvalidIdentifier {
                    ident: ident.into_proto(),
                    detail: detail.into_proto(),
                })
            }
            EvalError::ArrayFillWrongArraySubscripts => ArrayFillWrongArraySubscripts(()),
            EvalError::MaxArraySizeExceeded(max_size) => {
                MaxArraySizeExceeded(u64::cast_from(*max_size))
            }
            EvalError::DateDiffOverflow { unit, a, b } => DateDiffOverflow(ProtoDateDiffOverflow {
                unit: unit.into_proto(),
                a: a.into_proto(),
                b: b.into_proto(),
            }),
            EvalError::IfNullError(s) => IfNullError(s.into_proto()),
            EvalError::LengthTooLarge => LengthTooLarge(()),
            EvalError::AclArrayNullElement => AclArrayNullElement(()),
            EvalError::MzAclArrayNullElement => MzAclArrayNullElement(()),
            EvalError::InvalidIanaTimezoneId(s) => InvalidIanaTimezoneId(s.into_proto()),
        };
        ProtoEvalError { kind: Some(kind) }
    }

    fn from_proto(proto: ProtoEvalError) -> Result<Self, TryFromProtoError> {
        use proto_eval_error::Kind::*;
        match proto.kind {
            Some(kind) => match kind {
                CharacterNotValidForEncoding(v) => Ok(EvalError::CharacterNotValidForEncoding(v)),
                CharacterTooLargeForEncoding(v) => Ok(EvalError::CharacterTooLargeForEncoding(v)),
                DateBinOutOfRange(v) => Ok(EvalError::DateBinOutOfRange(v.into())),
                DivisionByZero(()) => Ok(EvalError::DivisionByZero),
                Unsupported(v) => Ok(EvalError::Unsupported {
                    feature: v.feature.into(),
                    discussion_no: v.discussion_no.into_rust()?,
                }),
                FloatOverflow(()) => Ok(EvalError::FloatOverflow),
                FloatUnderflow(()) => Ok(EvalError::FloatUnderflow),
                NumericFieldOverflow(()) => Ok(EvalError::NumericFieldOverflow),
                Float32OutOfRange(val) => Ok(EvalError::Float32OutOfRange(val.value.into())),
                Float64OutOfRange(val) => Ok(EvalError::Float64OutOfRange(val.value.into())),
                Int16OutOfRange(val) => Ok(EvalError::Int16OutOfRange(val.value.into())),
                Int32OutOfRange(val) => Ok(EvalError::Int32OutOfRange(val.value.into())),
                Int64OutOfRange(val) => Ok(EvalError::Int64OutOfRange(val.value.into())),
                Uint16OutOfRange(val) => Ok(EvalError::UInt16OutOfRange(val.value.into())),
                Uint32OutOfRange(val) => Ok(EvalError::UInt32OutOfRange(val.value.into())),
                Uint64OutOfRange(val) => Ok(EvalError::UInt64OutOfRange(val.value.into())),
                MzTimestampOutOfRange(val) => {
                    Ok(EvalError::MzTimestampOutOfRange(val.value.into()))
                }
                MzTimestampStepOverflow(()) => Ok(EvalError::MzTimestampStepOverflow),
                OidOutOfRange(val) => Ok(EvalError::OidOutOfRange(val.value.into())),
                IntervalOutOfRange(val) => Ok(EvalError::IntervalOutOfRange(val.value.into())),
                TimestampCannotBeNan(()) => Ok(EvalError::TimestampCannotBeNan),
                TimestampOutOfRange(()) => Ok(EvalError::TimestampOutOfRange),
                DateOutOfRange(()) => Ok(EvalError::DateOutOfRange),
                CharOutOfRange(()) => Ok(EvalError::CharOutOfRange),
                IndexOutOfRange(v) => Ok(EvalError::IndexOutOfRange {
                    provided: v.provided,
                    valid_end: v.valid_end,
                }),
                InvalidBase64Equals(()) => Ok(EvalError::InvalidBase64Equals),
                InvalidBase64Symbol(v) => char::from_proto(v).map(EvalError::InvalidBase64Symbol),
                InvalidBase64EndSequence(()) => Ok(EvalError::InvalidBase64EndSequence),
                InvalidTimezone(v) => Ok(EvalError::InvalidTimezone(v.into())),
                InvalidTimezoneInterval(()) => Ok(EvalError::InvalidTimezoneInterval),
                InvalidTimezoneConversion(()) => Ok(EvalError::InvalidTimezoneConversion),
                InvalidLayer(v) => Ok(EvalError::InvalidLayer {
                    max_layer: usize::from_proto(v.max_layer)?,
                    val: v.val,
                }),
                InvalidArray(error) => Ok(EvalError::InvalidArray(error.into_rust()?)),
                InvalidEncodingName(v) => Ok(EvalError::InvalidEncodingName(v.into())),
                InvalidHashAlgorithm(v) => Ok(EvalError::InvalidHashAlgorithm(v.into())),
                InvalidByteSequence(v) => Ok(EvalError::InvalidByteSequence {
                    byte_sequence: v.byte_sequence.into(),
                    encoding_name: v.encoding_name.into(),
                }),
                InvalidJsonbCast(v) => Ok(EvalError::InvalidJsonbCast {
                    from: v.from.into(),
                    to: v.to.into(),
                }),
                InvalidRegex(v) => Ok(EvalError::InvalidRegex(v.into())),
                InvalidRegexFlag(v) => Ok(EvalError::InvalidRegexFlag(char::from_proto(v)?)),
                InvalidParameterValue(v) => Ok(EvalError::InvalidParameterValue(v.into())),
                InvalidDatePart(part) => Ok(EvalError::InvalidDatePart(part.into())),
                KeyCannotBeNull(()) => Ok(EvalError::KeyCannotBeNull),
                NegSqrt(()) => Ok(EvalError::NegSqrt),
                NegLimit(()) => Ok(EvalError::NegLimit),
                NullCharacterNotPermitted(()) => Ok(EvalError::NullCharacterNotPermitted),
                UnknownUnits(v) => Ok(EvalError::UnknownUnits(v.into())),
                UnsupportedUnits(v) => {
                    Ok(EvalError::UnsupportedUnits(v.units.into(), v.typ.into()))
                }
                UnterminatedLikeEscapeSequence(()) => Ok(EvalError::UnterminatedLikeEscapeSequence),
                Parse(error) => Ok(EvalError::Parse(error.into_rust()?)),
                ParseHex(error) => Ok(EvalError::ParseHex(error.into_rust()?)),
                Internal(v) => Ok(EvalError::Internal(v.into())),
                InfinityOutOfDomain(v) => Ok(EvalError::InfinityOutOfDomain(v.into())),
                NegativeOutOfDomain(v) => Ok(EvalError::NegativeOutOfDomain(v.into())),
                ZeroOutOfDomain(v) => Ok(EvalError::ZeroOutOfDomain(v.into())),
                OutOfDomain(v) => Ok(EvalError::OutOfDomain(
                    v.lower.into_rust_if_some("ProtoDomainLimit::lower")?,
                    v.upper.into_rust_if_some("ProtoDomainLimit::upper")?,
                    v.id.into(),
                )),
                ComplexOutOfRange(v) => Ok(EvalError::ComplexOutOfRange(v.into())),
                MultipleRowsFromSubquery(()) => Ok(EvalError::MultipleRowsFromSubquery),
                Undefined(v) => Ok(EvalError::Undefined(v.into())),
                LikePatternTooLong(()) => Ok(EvalError::LikePatternTooLong),
                LikeEscapeTooLong(()) => Ok(EvalError::LikeEscapeTooLong),
                StringValueTooLong(v) => Ok(EvalError::StringValueTooLong {
                    target_type: v.target_type.into(),
                    length: usize::from_proto(v.length)?,
                }),
                MultidimensionalArrayRemovalNotSupported(()) => {
                    Ok(EvalError::MultidimensionalArrayRemovalNotSupported)
                }
                IncompatibleArrayDimensions(v) => Ok(EvalError::IncompatibleArrayDimensions {
                    dims: v.dims.into_rust()?,
                }),
                TypeFromOid(v) => Ok(EvalError::TypeFromOid(v.into())),
                InvalidRange(e) => Ok(EvalError::InvalidRange(e.into_rust()?)),
                InvalidRoleId(v) => Ok(EvalError::InvalidRoleId(v.into())),
                InvalidPrivileges(v) => Ok(EvalError::InvalidPrivileges(v.into())),
                InvalidCatalogJson(v) => Ok(EvalError::InvalidCatalogJson(v.into())),
                WmrRecursionLimitExceeded(v) => Ok(EvalError::LetRecLimitExceeded(v.into())),
                MultiDimensionalArraySearch(()) => Ok(EvalError::MultiDimensionalArraySearch),
                MustNotBeNull(v) => Ok(EvalError::MustNotBeNull(v.into())),
                InvalidIdentifier(v) => Ok(EvalError::InvalidIdentifier {
                    ident: v.ident.into(),
                    detail: v.detail.into_rust()?,
                }),
                ArrayFillWrongArraySubscripts(()) => Ok(EvalError::ArrayFillWrongArraySubscripts),
                MaxArraySizeExceeded(max_size) => {
                    Ok(EvalError::MaxArraySizeExceeded(usize::cast_from(max_size)))
                }
                DateDiffOverflow(v) => Ok(EvalError::DateDiffOverflow {
                    unit: v.unit.into(),
                    a: v.a.into(),
                    b: v.b.into(),
                }),
                IfNullError(v) => Ok(EvalError::IfNullError(v.into())),
                LengthTooLarge(()) => Ok(EvalError::LengthTooLarge),
                AclArrayNullElement(()) => Ok(EvalError::AclArrayNullElement),
                MzAclArrayNullElement(()) => Ok(EvalError::MzAclArrayNullElement),
                InvalidIanaTimezoneId(s) => Ok(EvalError::InvalidIanaTimezoneId(s.into())),
                PrettyError(s) => Ok(EvalError::PrettyError(s.into())),
            },
            None => Err(TryFromProtoError::missing_field("ProtoEvalError::kind")),
        }
    }
}

impl RustType<ProtoDims> for (usize, usize) {
    fn into_proto(&self) -> ProtoDims {
        ProtoDims {
            f0: self.0.into_proto(),
            f1: self.1.into_proto(),
        }
    }

    fn from_proto(proto: ProtoDims) -> Result<Self, TryFromProtoError> {
        Ok((proto.f0.into_rust()?, proto.f1.into_rust()?))
    }
}

#[cfg(test)]
mod tests {
    use super::*;

    #[mz_ore::test]
    #[cfg_attr(miri, ignore)] // error: unsupported operation: can't call foreign function `rust_psm_stack_pointer` on OS `linux`
    fn test_reduce() {
        let relation_type: Vec<ReprColumnType> = vec![
            ReprScalarType::Int64.nullable(true),
            ReprScalarType::Int64.nullable(true),
            ReprScalarType::Int64.nullable(false),
        ]
        .into_iter()
        .collect();
        let col = MirScalarExpr::column;
        let int64_typ = ReprScalarType::Int64;
        let err = |e| MirScalarExpr::literal(Err(e), int64_typ.clone());
        let lit = |i| MirScalarExpr::literal_ok(Datum::Int64(i), int64_typ.clone());
        let null = || MirScalarExpr::literal_null(int64_typ.clone());

        struct TestCase {
            input: MirScalarExpr,
            output: MirScalarExpr,
        }

        let test_cases = vec![
            TestCase {
                input: MirScalarExpr::call_variadic(Coalesce, vec![lit(1)]),
                output: lit(1),
            },
            TestCase {
                input: MirScalarExpr::call_variadic(Coalesce, vec![lit(1), lit(2)]),
                output: lit(1),
            },
            TestCase {
                input: MirScalarExpr::call_variadic(Coalesce, vec![null(), lit(2), null()]),
                output: lit(2),
            },
            TestCase {
                input: MirScalarExpr::call_variadic(
                    Coalesce,
                    vec![null(), col(0), null(), col(1), lit(2), lit(3)],
                ),
                output: MirScalarExpr::call_variadic(Coalesce, vec![col(0), col(1), lit(2)]),
            },
            TestCase {
                input: MirScalarExpr::call_variadic(Coalesce, vec![col(0), col(2), col(1)]),
                output: MirScalarExpr::call_variadic(Coalesce, vec![col(0), col(2)]),
            },
            TestCase {
                input: MirScalarExpr::call_variadic(
                    Coalesce,
                    vec![lit(1), err(EvalError::DivisionByZero)],
                ),
                output: lit(1),
            },
            TestCase {
                input: MirScalarExpr::call_variadic(
                    Coalesce,
                    vec![
                        null(),
                        err(EvalError::DivisionByZero),
                        err(EvalError::NumericFieldOverflow),
                    ],
                ),
                output: err(EvalError::DivisionByZero),
            },
        ];

        for tc in test_cases {
            let mut actual = tc.input.clone();
            actual.reduce(&relation_type);
            assert!(
                actual == tc.output,
                "input: {}\nactual: {}\nexpected: {}",
                tc.input,
                actual,
                tc.output
            );
        }
    }
}