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//! Row selection logic for UPDATE operations
use vibesql_ast::{BinaryOperator, Expression};
use vibesql_storage::TxnSnapshot;
use vibesql_types::SqlValue;
use crate::{
errors::ExecutorError,
evaluator::{coercion::coerce_value_to_column_type, ExpressionEvaluator},
};
/// Row selector for UPDATE statements
///
/// Handles WHERE clause evaluation and primary key index optimization
pub struct RowSelector<'a> {
schema: &'a vibesql_catalog::TableSchema,
}
impl<'a> RowSelector<'a> {
/// Create a new row selector
pub fn new(schema: &'a vibesql_catalog::TableSchema) -> Self {
Self { schema }
}
/// Select rows to update based on WHERE clause.
///
/// Uses primary key index optimization when possible, otherwise falls back
/// to table scan. Both paths honor the MVCC `snapshot`: the PK fast path
/// calls `Table::is_row_visible` and the fallback scan uses
/// `Table::scan_visible`. With `mvcc_enabled` OFF, both reduce to the
/// pre-MVCC live-row check.
pub fn select_rows(
&self,
table: &vibesql_storage::Table,
where_clause: &Option<vibesql_ast::WhereClause>,
evaluator: &mut ExpressionEvaluator,
snapshot: &TxnSnapshot,
) -> Result<Vec<(usize, vibesql_storage::Row)>, ExecutorError> {
// Try to use primary key index for fast lookup
if let Some(vibesql_ast::WhereClause::Condition(where_expr)) = where_clause {
if let Some(pk_values) = Self::extract_primary_key_lookup(where_expr, self.schema) {
// Coerce extracted WHERE-clause literals to match the PK column
// affinities. The PK index HashMap is keyed on stored (already-
// coerced) values, so a raw literal can silently miss when types
// differ — e.g. `WHERE p=1200` on a TEXT PRIMARY KEY storing
// "1200". See issue #5145.
let pk_values: Vec<SqlValue> = if let Some(pk_indices) =
self.schema.get_primary_key_indices()
{
pk_values
.into_iter()
.zip(pk_indices.iter())
.map(|(val, &idx)| {
coerce_value_to_column_type(val, &self.schema.columns[idx].data_type)
})
.collect()
} else {
pk_values
};
// Use primary key index for O(1) lookup
if let Some(pk_index) = table.primary_key_index() {
if let Some(&row_index) = pk_index.get(&pk_values) {
// Phase 1d follow-up (#5205): the PK fast path must
// honor MVCC visibility — a row whose xmax is
// committed (tombstone) under our snapshot must not
// be selected for UPDATE. Off-state collapses to a
// deletion-bitmap check.
if !table.is_row_visible(row_index, snapshot) {
return Ok(vec![]);
}
// Found the row via index - single row to update
// Clone and set row_id for ROWID pseudo-column support
let mut cloned_row = table.scan()[row_index].clone();
if cloned_row.row_id.is_none() {
cloned_row.row_id = Some((row_index + 1) as u64);
}
return Ok(vec![(row_index, cloned_row)]);
} else {
// Primary key not found - no rows to update
return Ok(vec![]);
}
}
// No primary key index available, fall back to table scan below
}
}
// Fall back to table scan
Self::collect_candidate_rows(table, where_clause, evaluator, snapshot)
}
/// Analyze WHERE expression to see if it can use primary key index for fast lookup
///
/// Returns the primary key values if the expression is an equality (or conjunction of
/// equalities) on all primary key columns, otherwise returns None.
///
/// Supports:
/// - Single-column PK: `WHERE pk = value`
/// - Composite PK: `WHERE pk1 = val1 AND pk2 = val2`
fn extract_primary_key_lookup(
where_expr: &Expression,
schema: &vibesql_catalog::TableSchema,
) -> Option<Vec<vibesql_types::SqlValue>> {
let pk_indices = schema.get_primary_key_indices()?;
if pk_indices.is_empty() {
return None;
}
// For single-column PK, use simple extraction
if pk_indices.len() == 1 {
return Self::extract_single_pk_equality(where_expr, schema, pk_indices[0]);
}
// For composite PK, extract all equalities from AND expressions
Self::extract_composite_pk_equalities(where_expr, schema, &pk_indices)
}
/// Extract single PK column equality from expression
fn extract_single_pk_equality(
where_expr: &Expression,
schema: &vibesql_catalog::TableSchema,
pk_col_index: usize,
) -> Option<Vec<vibesql_types::SqlValue>> {
if let Expression::BinaryOp { left, op: BinaryOperator::Equal, right } = where_expr {
// Check: column = literal
if let (Expression::ColumnRef(col_id), Expression::Literal(value)) =
(left.as_ref(), right.as_ref())
{
if let Some(col_index) = schema.get_column_index(col_id.column_canonical()) {
if col_index == pk_col_index {
return Some(vec![value.clone()]);
}
}
}
// Check: literal = column
if let (Expression::Literal(value), Expression::ColumnRef(col_id)) =
(left.as_ref(), right.as_ref())
{
if let Some(col_index) = schema.get_column_index(col_id.column_canonical()) {
if col_index == pk_col_index {
return Some(vec![value.clone()]);
}
}
}
}
None
}
/// Extract composite PK values from AND expressions
///
/// For a composite PK (pk1, pk2), matches expressions like:
/// - `pk1 = val1 AND pk2 = val2`
/// - `pk2 = val2 AND pk1 = val1` (order doesn't matter)
/// - Nested ANDs: `(pk1 = val1 AND pk2 = val2) AND pk3 = val3`
fn extract_composite_pk_equalities(
where_expr: &Expression,
schema: &vibesql_catalog::TableSchema,
pk_indices: &[usize],
) -> Option<Vec<vibesql_types::SqlValue>> {
// Collect all equalities from the expression
let mut equalities: std::collections::HashMap<usize, vibesql_types::SqlValue> =
std::collections::HashMap::new();
Self::collect_equalities(where_expr, schema, &mut equalities);
// Check if we have all PK columns
let mut pk_values = Vec::with_capacity(pk_indices.len());
for &pk_col in pk_indices {
match equalities.get(&pk_col) {
Some(value) => pk_values.push(value.clone()),
None => return None, // Missing PK column equality
}
}
Some(pk_values)
}
/// Recursively collect column = literal equalities from expression
fn collect_equalities(
expr: &Expression,
schema: &vibesql_catalog::TableSchema,
equalities: &mut std::collections::HashMap<usize, vibesql_types::SqlValue>,
) {
match expr {
Expression::BinaryOp { left, op: BinaryOperator::And, right } => {
// Recurse into AND branches
Self::collect_equalities(left, schema, equalities);
Self::collect_equalities(right, schema, equalities);
}
Expression::Conjunction(exprs) => {
// Handle flattened AND chains
for e in exprs {
Self::collect_equalities(e, schema, equalities);
}
}
Expression::BinaryOp { left, op: BinaryOperator::Equal, right } => {
// Check: column = literal
if let (Expression::ColumnRef(col_id), Expression::Literal(value)) =
(left.as_ref(), right.as_ref())
{
if let Some(col_index) = schema.get_column_index(col_id.column_canonical()) {
equalities.insert(col_index, value.clone());
}
}
// Check: literal = column
else if let (Expression::Literal(value), Expression::ColumnRef(col_id)) =
(left.as_ref(), right.as_ref())
{
if let Some(col_index) = schema.get_column_index(col_id.column_canonical()) {
equalities.insert(col_index, value.clone());
}
}
}
_ => {} // Ignore other expressions (OR, comparisons, etc.)
}
}
/// Collect candidate rows that match the WHERE clause (fallback for non-indexed queries).
///
/// Phase 1d follow-up (#5205): uses `scan_visible(snapshot)` so the
/// WHERE-clause scan honors MVCC visibility. Off-state reduces to
/// `scan_live` (deletion-bitmap filter), preserving pre-MVCC semantics.
fn collect_candidate_rows(
table: &vibesql_storage::Table,
where_clause: &Option<vibesql_ast::WhereClause>,
evaluator: &mut ExpressionEvaluator,
snapshot: &TxnSnapshot,
) -> Result<Vec<(usize, vibesql_storage::Row)>, ExecutorError> {
let mut candidate_rows = Vec::new();
for (row_index, row) in table.scan_visible(snapshot) {
// Clear CSE cache before evaluating each row to prevent column values
// from being incorrectly cached across different rows
evaluator.clear_cse_cache();
// Set row_id for ROWID pseudo-column support (SQLite compatibility)
// SQLite uses 1-indexed rowids, so add 1 to the physical index
// This allows WHERE rowid = N to work correctly
let row_id = row.row_id.unwrap_or((row_index + 1) as u64);
evaluator.set_row_index(row_id);
// Check WHERE clause
let should_update = if let Some(ref where_clause) = where_clause {
match where_clause {
vibesql_ast::WhereClause::Condition(where_expr) => {
let result = evaluator.eval(where_expr, row)?;
// SQL semantics: only truthy values cause update
// SQLite treats non-zero numeric values as TRUE
is_truthy(&result)
}
vibesql_ast::WhereClause::CurrentOf(cursor_name) => {
// TODO: Implement cursor support for positioned UPDATE/DELETE
//
// Requirements for implementation:
// 1. Cursor registry/manager in Database to track declared cursors
// 2. Cursor state tracking (current position, result set, etc.)
// 3. Executor support for DECLARE/OPEN/FETCH/CLOSE statements
// 4. Integration with UPDATE/DELETE to access cursor position
//
// Note: Parser and AST support for cursors already exists in:
// - crates/ast/src/ddl/cursor.rs (DeclareCursorStmt, etc.)
// - crates/parser/src/parser/cursor.rs (parsing logic)
//
// See SQL:1999 Feature E121 for cursor specification.
return Err(ExecutorError::UnsupportedFeature(format!(
"WHERE CURRENT OF {} - Positioned UPDATE/DELETE not yet implemented. \
Requires cursor infrastructure (DECLARE/OPEN/FETCH/CLOSE execution, \
cursor state management, and position tracking). \
Use a standard WHERE clause instead.",
cursor_name
)));
}
}
} else {
true // No WHERE clause = update all rows
};
if should_update {
// Clone the row and set row_id for ROWID pseudo-column support
let mut cloned_row = row.clone();
if cloned_row.row_id.is_none() {
cloned_row.row_id = Some((row_index + 1) as u64);
}
candidate_rows.push((row_index, cloned_row));
}
}
Ok(candidate_rows)
}
}
/// Check if a SqlValue is truthy using SQLite truthiness rules.
///
/// SQLite rules:
/// - `Boolean(true)` → true
/// - `Boolean(false)` → false
/// - `Null` → false (NULL is not truthy for WHERE clause purposes)
/// - `0` and `0.0` → false
/// - Any other numeric value → true
/// - Strings → parse leading numeric, non-zero is true, 0 or non-numeric is false
fn is_truthy(value: &SqlValue) -> bool {
use SqlValue::*;
match value {
Boolean(b) => *b,
Null => false, // NULL is not truthy for row selection
// Integer types: 0 is false, non-zero is true
Integer(n) => *n != 0,
Smallint(n) => *n != 0,
Bigint(n) => *n != 0,
Unsigned(n) => *n != 0,
// Floating point types: 0.0 is false, non-zero is true
Float(f) => *f != 0.0,
Real(f) => *f != 0.0,
Double(f) => *f != 0.0,
Numeric(f) => *f != 0.0,
// String types: SQLite parses leading numeric portion
Varchar(s) | Character(s) => crate::evaluator::operators::is_truthy_string(s),
// Other types are not truthy (conservative default)
_ => false,
}
}