acking-you commented on code in PR #15694:
URL: https://github.com/apache/datafusion/pull/15694#discussion_r2047346420
##########
datafusion/physical-expr/src/expressions/binary.rs:
##########
@@ -811,58 +822,199 @@ impl BinaryExpr {
}
}
+enum ShortCircuitStrategy<'a> {
+ None,
+ ReturnLeft,
+ ReturnRight,
+ PreSelection(&'a BooleanArray),
+}
+
+/// Based on the results calculated from the left side of the short-circuit
operation,
+/// if the proportion of `true` is less than 0.2 and the current operation is
an `and`,
+/// the `RecordBatch` will be filtered in advance.
+const PRE_SELECTION_THRESHOLD: f32 = 0.2;
+
/// Checks if a logical operator (`AND`/`OR`) can short-circuit evaluation
based on the left-hand side (lhs) result.
///
-/// Short-circuiting occurs when evaluating the right-hand side (rhs) becomes
unnecessary:
-/// - For `AND`: if ALL values in `lhs` are `false`, the expression must be
`false` regardless of rhs.
-/// - For `OR`: if ALL values in `lhs` are `true`, the expression must be
`true` regardless of rhs.
-///
-/// Returns `true` if short-circuiting is possible, `false` otherwise.
-///
+/// Short-circuiting occurs under these circumstances:
+/// - For `AND`:
+/// - if LHS is all false => short-circuit → return LHS
+/// - if LHS is all true => short-circuit → return RHS
+/// - if LHS is mixed and true_count/sum_count <=
[`PRE_SELECTION_THRESHOLD`] -> pre-selection
+/// - For `OR`:
+/// - if LHS is all true => short-circuit → return LHS
+/// - if LHS is all false => short-circuit → return RHS
/// # Arguments
-/// * `arg` - The left-hand side (lhs) columnar value (array or scalar)
+/// * `lhs` - The left-hand side (lhs) columnar value (array or scalar)
+/// * `lhs` - The left-hand side (lhs) columnar value (array or scalar)
/// * `op` - The logical operator (`AND` or `OR`)
///
/// # Implementation Notes
/// 1. Only works with Boolean-typed arguments (other types automatically
return `false`)
/// 2. Handles both scalar values and array values
-/// 3. For arrays, uses optimized `true_count()`/`false_count()` methods from
arrow-rs.
-/// `bool_or`/`bool_and` maybe a better choice too，for detailed
discussion,see:[link](https://github.com/apache/datafusion/pull/15462#discussion_r2020558418)
-fn check_short_circuit(arg: &ColumnarValue, op: &Operator) -> bool {
- let data_type = arg.data_type();
- match (data_type, op) {
- (DataType::Boolean, Operator::And) => {
- match arg {
- ColumnarValue::Array(array) => {
- if let Ok(array) = as_boolean_array(&array) {
- return array.false_count() == array.len();
- }
+/// 3. For arrays, uses optimized bit counting techniques for boolean arrays
+fn check_short_circuit<'a>(
+ lhs: &'a ColumnarValue,
+ op: &Operator,
+) -> ShortCircuitStrategy<'a> {
+ // Quick reject for non-logical operators,and quick judgment when op is and
+ let is_and = match op {
+ Operator::And => true,
+ Operator::Or => false,
+ _ => return ShortCircuitStrategy::None,
+ };
+
+ // Non-boolean types can't be short-circuited
+ if lhs.data_type() != DataType::Boolean {
+ return ShortCircuitStrategy::None;
+ }
+
+ match lhs {
+ ColumnarValue::Array(array) => {
+ // Fast path for arrays - try to downcast to boolean array
+ if let Ok(bool_array) = as_boolean_array(array) {
+ // Arrays with nulls can't be short-circuited
+ if bool_array.null_count() > 0 {
+ return ShortCircuitStrategy::None;
}
- ColumnarValue::Scalar(scalar) => {
- if let ScalarValue::Boolean(Some(value)) = scalar {
- return !value;
+
+ let len = bool_array.len();
+ if len == 0 {
+ return ShortCircuitStrategy::None;
+ }
+
+ let true_count = bool_array.values().count_set_bits();
+ if is_and {
+ // For AND, prioritize checking for all-false (short
circuit case)
+ // Uses optimized false_count() method provided by Arrow
+
+ // Short circuit if all values are false
+ if true_count == 0 {
+ return ShortCircuitStrategy::ReturnLeft;
+ }
+
+ // If no false values, then all must be true
+ if true_count == len {
+ return ShortCircuitStrategy::ReturnRight;
+ }
+
+ // determine if we can pre-selection
+ if true_count as f32 / len as f32 <=
PRE_SELECTION_THRESHOLD {
+ return ShortCircuitStrategy::PreSelection(bool_array);
+ }
+ } else {
+ // For OR, prioritize checking for all-true (short circuit
case)
+ // Uses optimized true_count() method provided by Arrow
+
+ // Short circuit if all values are true
+ if true_count == len {
+ return ShortCircuitStrategy::ReturnLeft;
+ }
+
+ // If no true values, then all must be false
+ if true_count == 0 {
+ return ShortCircuitStrategy::ReturnRight;
}
}
}
- false
}
- (DataType::Boolean, Operator::Or) => {
- match arg {
- ColumnarValue::Array(array) => {
- if let Ok(array) = as_boolean_array(&array) {
- return array.true_count() == array.len();
- }
- }
- ColumnarValue::Scalar(scalar) => {
- if let ScalarValue::Boolean(Some(value)) = scalar {
- return *value;
- }
+ ColumnarValue::Scalar(scalar) => {
+ // Fast path for scalar values
+ if let ScalarValue::Boolean(Some(is_true)) = scalar {
+ // Return Left for:
+ // - AND with false value
+ // - OR with true value
+ if (is_and && !is_true) || (!is_and && *is_true) {
+ return ShortCircuitStrategy::ReturnLeft;
+ } else {
+ return ShortCircuitStrategy::ReturnRight;
}
}
- false
}
- _ => false,
}
+
+ // If we can't short-circuit, indicate that normal evaluation should
continue
+ ShortCircuitStrategy::None
+}
+
+/// Creates a new boolean array based on the evaluation of the right
expression,
+/// but only for positions where the left_result is true.
+///
+/// This function is used for short-circuit evaluation optimization of logical
AND operations:
+/// - When left_result has few true values, we only evaluate the right
expression for those positions
+/// - Values are copied from right_array where left_result is true
+/// - All other positions are filled with false values
+///
+/// # Parameters
+/// - `left_result` Boolean array with selection mask (typically from left
side of AND)
+/// - `right_result` Result of evaluating right side of expression (only for
selected positions)
+///
+/// # Returns
+/// A combined ColumnarValue with values from right_result where left_result
is true
+///
+/// # Example
+/// Initial Data: { 1, 2, 3, 4, 5 }
+/// Left Evaluation
+/// (Condition: Equal to 2 or 3)
+/// ↓
+/// Filtered Data: {2, 3}
+/// Left Bitmap: { 0, 1, 1, 0, 0 }
+/// ↓
+/// Right Evaluation
+/// (Condition: Even numbers)
+/// ↓
+/// Right Data: { 2 }
+/// Right Bitmap: { 1, 0 }
+/// ↓
+/// Combine Results
+/// Final Bitmap: { 0, 1, 0, 0, 0 }
+///
+/// # Note
+/// Perhaps it would be better to modify `left_result` directly without
creating a copy?
+/// In practice, `left_result` should have only one owner, so making changes
should be safe.
+/// However, this is difficult to achieve under the immutable constraints of
[`Arc`] and [`BooleanArray`].
+fn pre_selection_scatter(
Review Comment:
done
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