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// 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.
//! Handles SQL's scoping rules.
//!
//! A scope spans a single SQL `Query`. Nested subqueries create new scopes.
//! Names are resolved against the innermost scope first.
//! * If a match is found, it is returned.
//! * If no matches are found, the name is resolved against the parent scope.
//! * If multiple matches are found, the name is ambiguous and we return an
//! error to the user.
//!
//! Matching rules:
//! * `bar` will match any column in the scope named `bar`
//! * `foo.bar` will match any column in the scope named `bar` that originated
//! from a table named `foo`.
//! * Table aliases such as `foo AS quux` replace the old table name.
//! * Functions create unnamed columns, which can be named with columns aliases
//! `(bar + 1) as more_bar`.
//!
//! Additionally, most databases fold some form of CSE into name resolution so
//! that eg `SELECT sum(x) FROM foo GROUP BY sum(x)` would be treated something
//! like `SELECT "sum(x)" FROM foo GROUP BY sum(x) AS "sum(x)"` rather than
//! failing to resolve `x`. We handle this by including the underlying
//! `sql_parser::ast::Expr` in cases where this is possible.
//!
//! Many SQL expressions do strange and arbitrary things to scopes. Rather than
//! try to capture them all here, we just expose the internals of `Scope` and
//! handle it in the appropriate place in `super::query`.
//!
//! NOTE(benesch): The above approach of exposing scope's internals to the
//! entire planner has not aged well. SQL scopes are now full of undocumented
//! assumptions and requirements, since various subcomponents of the planner
//! shove data into scope items to communicate with subcomponents a mile away.
//! I've tried to refactor this code several times to no avail. It works better
//! than you might expect. But you have been warned. Tread carefully!
use std::collections::BTreeSet;
use std::iter;
use mz_ore::iter::IteratorExt;
use mz_repr::ColumnName;
use crate::ast::Expr;
use crate::names::{Aug, PartialItemName};
use crate::plan::error::PlanError;
use crate::plan::expr::ColumnRef;
use crate::plan::plan_utils::JoinSide;
#[derive(Debug, Clone)]
pub struct ScopeItem {
/// The name of the table that produced this scope item, if any.
pub table_name: Option<PartialItemName>,
/// The name of the column.
pub column_name: ColumnName,
/// The expressions from which this scope item is derived. Used by `GROUP
/// BY`.
pub exprs: BTreeSet<Expr<Aug>>,
/// Whether the column is the return value of a function that produces only
/// a single column. This accounts for a strange PostgreSQL special case
/// around whole-row expansion.
pub from_single_column_function: bool,
/// Controls whether the column is only accessible via a table-qualified
/// reference. When false, the scope item is also excluded from `SELECT *`.
///
/// This should be true for almost all scope items. It is set to false for
/// join columns in USING constraints. For example, in `t1 FULL JOIN t2
/// USING a`, `t1.a` and `t2.a` are still available by fully-qualified
/// reference, but a bare `a` refers to a new column whose value is
/// `coalesce(t1.a, t2.a)`. This is a big special case because normally
/// having three columns in scope named `a` would result in "ambiguous
/// column reference" errors.
pub allow_unqualified_references: bool,
/// If set, any attempt to reference this item will return the error
/// produced by this function.
///
/// The function is provided with the table and column name in the
/// reference. It should return a `PlanError` describing why the reference
/// is invalid.
///
/// This is useful for preventing access to certain columns in specific
/// contexts, like columns that are on the wrong side of a `LATERAL` join.
pub error_if_referenced: Option<fn(Option<&PartialItemName>, &ColumnName) -> PlanError>,
/// For table functions in scalar positions, this flag is true for the
/// ordinality column. If true, then this column represents an "exists" flag
/// for the entire row of the table function. In that case, this column must
/// be excluded from `*` expansion. If the corresponding datum is `NULL`, then
/// `*` expansion should yield a single `NULL` instead of a record with various
/// datums.
pub is_exists_column_for_a_table_function_that_was_in_the_target_list: bool,
// Force use of the constructor methods.
_private: (),
}
/// An ungrouped column in a scope.
///
/// We can't simply drop these items from scope. These items need to *exist*
/// because they might shadow variables in outer scopes that would otherwise be
/// valid to reference, but accessing them needs to produce an error.
#[derive(Debug, Clone)]
pub struct ScopeUngroupedColumn {
/// The name of the table that produced this ungrouped column, if any.
pub table_name: Option<PartialItemName>,
/// The name of the ungrouped column.
pub column_name: ColumnName,
/// Whether the original scope item allowed unqualified references.
pub allow_unqualified_references: bool,
}
#[derive(Debug, Clone)]
pub struct Scope {
/// The items in this scope.
pub items: Vec<ScopeItem>,
/// The ungrouped columns in the scope.
pub ungrouped_columns: Vec<ScopeUngroupedColumn>,
// Whether this scope starts a new chain of lateral outer scopes.
//
// It's easiest to understand with an example. Consider this query:
//
// SELECT (SELECT * FROM tab1, tab2, (SELECT tab1.a, tab3.a)) FROM tab3, tab4
// Scope 1: ------------------------
// Scope 2: ----
// Scope 3: ----
// Scope 4: ----
// Scope 5: ----
//
// Note that the because the derived table is not marked `LATERAL`, its
// reference to `tab3.a` is valid but its reference to `tab1.a` is not.
//
// Scope 5 is the parent of scope 4, scope 4 is the parent of scope 3, and
// so on. The non-lateral derived table is not allowed to access scopes 2
// and 3, because they are part of the same lateral chain, but it *is*
// allowed to access scope 4 and 5. So, to capture this information, we set
// `lateral_barrier: true` for scope 4.
pub lateral_barrier: bool,
}
impl ScopeItem {
pub fn empty() -> ScopeItem {
ScopeItem {
table_name: None,
column_name: "?column?".into(),
exprs: BTreeSet::new(),
from_single_column_function: false,
allow_unqualified_references: true,
error_if_referenced: None,
is_exists_column_for_a_table_function_that_was_in_the_target_list: false,
_private: (),
}
}
/// Constructs a new scope item from an unqualified column name.
pub fn from_column_name<N>(column_name: N) -> ScopeItem
where
N: Into<ColumnName>,
{
ScopeItem::from_name(None, column_name.into())
}
/// Constructs a new scope item from a name.
pub fn from_name<N>(table_name: Option<PartialItemName>, column_name: N) -> ScopeItem
where
N: Into<ColumnName>,
{
let mut item = ScopeItem::empty();
item.table_name = table_name;
item.column_name = column_name.into();
item
}
/// Constructs a new scope item with no name from an expression.
pub fn from_expr(expr: impl Into<Option<Expr<Aug>>>) -> ScopeItem {
let mut item = ScopeItem::empty();
if let Some(expr) = expr.into() {
item.exprs.insert(expr);
}
item
}
pub fn is_from_table(&self, table_name: &PartialItemName) -> bool {
match &self.table_name {
None => false,
Some(n) => n.matches(table_name),
}
}
}
impl Scope {
pub fn empty() -> Self {
Scope {
items: vec![],
ungrouped_columns: vec![],
lateral_barrier: false,
}
}
pub fn from_source<I, N>(table_name: Option<PartialItemName>, column_names: I) -> Self
where
I: IntoIterator<Item = N>,
N: Into<ColumnName>,
{
let mut scope = Scope::empty();
scope.items = column_names
.into_iter()
.map(|column_name| ScopeItem::from_name(table_name.clone(), column_name.into()))
.collect();
scope
}
/// Constructs an iterator over the canonical name for each column.
pub fn column_names(&self) -> impl Iterator<Item = &ColumnName> {
self.items.iter().map(|item| &item.column_name)
}
pub fn len(&self) -> usize {
self.items.len()
}
/// Iterates over all items in the scope.
///
/// Items are returned in order of preference, where the innermost scope has
/// the highest preference. For example, given scopes `A(B(C))`, items are
/// presented in the order `C`, `B`, `A`.
///
/// Items are returned alongside the column reference that targets that item
/// and the item's "lateral level". The latter bears explaining. The lateral
/// level is the number of lateral barriers between this scope and the item.
/// See `Scope::lateral_barrier` for a diagram. Roughly speaking, items from
/// different levels but the same lateral level are items from different
/// joins in the same subquery, while items in different lateral levels are
/// items from different queries entirely. Rules about ambiguity apply
/// within an entire lateral level, not just within a single scope level.
///
/// NOTE(benesch): Scope` really shows its weaknesses here. Ideally we'd
/// have separate types like `QueryScope` and `JoinScope` that more
/// naturally encode the concept of a "lateral level", or at least something
/// along those lines.
fn all_items<'a>(
&'a self,
outer_scopes: &'a [Scope],
) -> impl Iterator<Item = ScopeCursor<'a>> + 'a {
let mut lat_level = 0;
iter::once(self)
.chain(outer_scopes)
.enumerate()
.flat_map(move |(level, scope)| {
if scope.lateral_barrier {
lat_level += 1;
}
let items = scope
.items
.iter()
.enumerate()
.map(move |(column, item)| ScopeCursor {
lat_level,
inner: ScopeCursorInner::Item {
column: ColumnRef { level, column },
item,
},
});
let ungrouped_columns = scope.ungrouped_columns.iter().map(move |uc| ScopeCursor {
lat_level,
inner: ScopeCursorInner::UngroupedColumn(uc),
});
items.chain(ungrouped_columns)
})
}
/// Returns all items from the given table name in the closest scope.
///
/// If no tables with the given name are in scope, returns an empty
/// iterator.
///
/// NOTE(benesch): This is wrong for zero-arity relations, because we can't
/// distinguish between "no such table" and a table that exists but has no
/// columns. The current design of scope makes this difficult to fix,
/// unfortunately.
pub fn items_from_table<'a>(
&'a self,
outer_scopes: &'a [Scope],
table: &PartialItemName,
) -> Result<Vec<(ColumnRef, &'a ScopeItem)>, PlanError> {
let mut seen_level = None;
let items: Vec<_> = self
.all_items(outer_scopes)
.filter_map(move |c| match c.inner {
ScopeCursorInner::Item { column, item }
if item.is_from_table(table)
&& *seen_level.get_or_insert(c.lat_level) == c.lat_level =>
{
Some((column, item))
}
_ => None,
})
.collect();
if !items.iter().map(|(column, _)| column.level).all_equal() {
return Err(PlanError::AmbiguousTable(table.clone()));
}
Ok(items)
}
/// Returns a matching [`ColumnRef`], if one exists.
///
/// Filters all visible items against the provided `matches` closure, and then matches this
/// filtered set against the provided `column_name`.
fn resolve_internal<'a, M>(
&'a self,
outer_scopes: &[Scope],
mut matches: M,
table_name: Option<&PartialItemName>,
column_name: &ColumnName,
) -> Result<ColumnRef, PlanError>
where
M: FnMut(&ScopeCursor) -> bool,
{
let mut results = self
.all_items(outer_scopes)
.filter(|c| (matches)(c) && c.column_name() == column_name);
match results.next() {
None => {
let similar = self
.all_items(outer_scopes)
.filter(|c| (matches)(c))
.filter_map(|c| {
c.column_name()
.is_similar(column_name)
.then(|| c.column_name().clone())
})
.collect();
Err(PlanError::UnknownColumn {
table: table_name.cloned(),
column: column_name.clone(),
similar,
})
}
Some(c) => {
if let Some(ambiguous) = results.find(|c2| c.lat_level == c2.lat_level) {
if let Some(table_name) = table_name {
if let (
ScopeCursorInner::Item {
column: ColumnRef { level: c_level, .. },
..
},
ScopeCursorInner::Item {
column:
ColumnRef {
level: ambiguous_level,
..
},
..
},
) = (c.inner, ambiguous.inner)
{
// ColumnRefs with identical levels indicate multiple columns of the
// same name in relation. If the levels differ then it is instead two
// tables with the same name, both having a column with this name.
if c_level == ambiguous_level {
return Err(PlanError::AmbiguousColumn(column_name.clone()));
}
}
return Err(PlanError::AmbiguousTable(table_name.clone()));
} else {
return Err(PlanError::AmbiguousColumn(column_name.clone()));
}
}
match c.inner {
ScopeCursorInner::UngroupedColumn(uc) => Err(PlanError::UngroupedColumn {
table: uc.table_name.clone(),
column: uc.column_name.clone(),
}),
ScopeCursorInner::Item { column, item } => {
if let Some(error_if_referenced) = item.error_if_referenced {
return Err(error_if_referenced(table_name, column_name));
}
Ok(column)
}
}
}
}
}
/// Resolves references to a column name to a single column, or errors if
/// multiple columns are equally valid references.
pub fn resolve_column<'a>(
&'a self,
outer_scopes: &[Scope],
column_name: &ColumnName,
) -> Result<ColumnRef, PlanError> {
let table_name = None;
self.resolve_internal(
outer_scopes,
|c| c.allow_unqualified_references(),
table_name,
column_name,
)
}
/// Resolves a column name in a `USING` clause.
pub fn resolve_using_column(
&self,
column_name: &ColumnName,
join_side: JoinSide,
) -> Result<ColumnRef, PlanError> {
self.resolve_column(&[], column_name).map_err(|e| match e {
// Attach a bit more context to unknown and ambiguous column
// errors to match PostgreSQL.
PlanError::AmbiguousColumn(column) => {
PlanError::AmbiguousColumnInUsingClause { column, join_side }
}
PlanError::UnknownColumn { column, .. } => {
PlanError::UnknownColumnInUsingClause { column, join_side }
}
_ => e,
})
}
pub fn resolve_table_column<'a>(
&'a self,
outer_scopes: &[Scope],
table_name: &PartialItemName,
column_name: &ColumnName,
) -> Result<ColumnRef, PlanError> {
let mut seen_at_level = None;
self.resolve_internal(
outer_scopes,
|c| {
// Once we've matched a table name at a lateral level, even if
// the column name did not match, we can never match an item
// from another lateral level.
if let Some(seen_at_level) = seen_at_level {
if seen_at_level != c.lat_level {
return false;
}
}
if c.table_name().as_ref().map(|n| n.matches(table_name)) == Some(true) {
seen_at_level = Some(c.lat_level);
true
} else {
false
}
},
Some(table_name),
column_name,
)
}
pub fn resolve<'a>(
&'a self,
outer_scopes: &[Scope],
table_name: Option<&PartialItemName>,
column_name: &ColumnName,
) -> Result<ColumnRef, PlanError> {
match table_name {
None => self.resolve_column(outer_scopes, column_name),
Some(table_name) => self.resolve_table_column(outer_scopes, table_name, column_name),
}
}
/// Look to see if there is an already-calculated instance of this expr.
/// Failing to find one is not an error, so this just returns Option
pub fn resolve_expr<'a>(&'a self, expr: &Expr<Aug>) -> Option<ColumnRef> {
// Literal values should not be treated as "cached" because their types
// in scope will have already been determined, but the type of the
// reoccurence of the expr might want to have a different type.
//
// This is most evident in the case of literal `NULL` values. The first
// occurrence is likely to be cast as `ScalarType::String`, but
// subsequent `NULL` values should be untyped.
if matches!(expr, Expr::Value(_)) {
return None;
}
self.items
.iter()
.enumerate()
.find(|(_, item)| item.exprs.contains(expr))
.map(|(i, _)| ColumnRef {
level: 0,
column: i,
})
}
pub fn product(self, right: Self) -> Result<Self, PlanError> {
let mut l_tables = self.table_names().into_iter().collect::<Vec<_>>();
// Make ordering deterministic for testing
l_tables.sort_by(|l, r| l.item.cmp(&r.item));
let r_tables = right.table_names();
for l in l_tables {
for r in &r_tables {
if l.matches(r) {
sql_bail!("table name \"{}\" specified more than once", l.item)
}
}
}
Ok(Scope {
items: self.items.into_iter().chain(right.items).collect(),
ungrouped_columns: vec![],
lateral_barrier: false,
})
}
pub fn project(&self, columns: &[usize]) -> Self {
Scope {
items: columns.iter().map(|&i| self.items[i].clone()).collect(),
ungrouped_columns: vec![],
lateral_barrier: false,
}
}
pub fn table_names(&self) -> BTreeSet<&PartialItemName> {
self.items
.iter()
.filter_map(|name| name.table_name.as_ref())
.collect::<BTreeSet<&PartialItemName>>()
}
}
/// A pointer to a scope item or an ungrouped column along side its lateral
/// level. Used internally while iterating.
#[derive(Debug, Clone)]
struct ScopeCursor<'a> {
lat_level: usize,
inner: ScopeCursorInner<'a>,
}
#[derive(Debug, Clone)]
enum ScopeCursorInner<'a> {
Item {
column: ColumnRef,
item: &'a ScopeItem,
},
UngroupedColumn(&'a ScopeUngroupedColumn),
}
impl ScopeCursor<'_> {
fn table_name(&self) -> Option<&PartialItemName> {
match &self.inner {
ScopeCursorInner::Item { item, .. } => item.table_name.as_ref(),
ScopeCursorInner::UngroupedColumn(uc) => uc.table_name.as_ref(),
}
}
fn column_name(&self) -> &ColumnName {
match &self.inner {
ScopeCursorInner::Item { item, .. } => &item.column_name,
ScopeCursorInner::UngroupedColumn(uc) => &uc.column_name,
}
}
fn allow_unqualified_references(&self) -> bool {
match &self.inner {
ScopeCursorInner::Item { item, .. } => item.allow_unqualified_references,
ScopeCursorInner::UngroupedColumn(uc) => uc.allow_unqualified_references,
}
}
}