alamb commented on code in PR #15462:
URL: https://github.com/apache/datafusion/pull/15462#discussion_r2019123741
##########
benchmarks/queries/clickbench/README.md:
##########
@@ -120,13 +122,42 @@ LIMIT 10;
```
Results look like
-
+```
+-------------+---------------------+---+------+------+------+
| ClientIP | WatchID | c | tmin | tp95 | tmax |
+-------------+---------------------+---+------+------+------+
| 1611957945 | 6655575552203051303 | 2 | 0 | 0 | 0 |
| -1402644643 | 8566928176839891583 | 2 | 0 | 0 | 0 |
+-------------+---------------------+---+------+------+------+
+```
+
+### Q6: How many social shares meet complex multi-stage filtering criteria?
+**Question**: What is the count of sharing actions from iPhone mobile users on
specific social networks, within common timezones, participating in seasonal
campaigns, with high screen resolutions and closely matched UTM parameters?
+**Important Query Properties**: Simple filter with high-selectivity, Costly
string matching, A large number of filters with high overhead are positioned
relatively later in the process
Review Comment:
👍
##########
datafusion/physical-expr/src/expressions/binary.rs:
##########
@@ -358,7 +358,50 @@ impl PhysicalExpr for BinaryExpr {
fn evaluate(&self, batch: &RecordBatch) -> Result<ColumnarValue> {
use arrow::compute::kernels::numeric::*;
+ 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();
+ }
+ }
+ ColumnarValue::Scalar(scalar) => {
+ if let ScalarValue::Boolean(Some(value)) = scalar {
+ return !value;
+ }
+ }
+ }
+ 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;
+ }
+ }
+ }
+ false
+ }
+ _ => false,
+ }
+ }
Review Comment:
Could you please also add some basic sqllogictests to ensure these code
paths are hit? Or show that they are covered by existing tests?
##########
datafusion/physical-expr/src/expressions/binary.rs:
##########
@@ -358,7 +358,50 @@ impl PhysicalExpr for BinaryExpr {
fn evaluate(&self, batch: &RecordBatch) -> Result<ColumnarValue> {
use arrow::compute::kernels::numeric::*;
+ fn check_short_circuit(arg: &ColumnarValue, op: &Operator) -> bool {
Review Comment:
If we find that this slows down some other performance we could also add
some sort of heuristic check to calling `false_count` / `true_count` -- like
for example if the rhs arg is "complex" (not a Column for example)
##########
datafusion/physical-expr/src/expressions/binary.rs:
##########
@@ -358,7 +358,50 @@ impl PhysicalExpr for BinaryExpr {
fn evaluate(&self, batch: &RecordBatch) -> Result<ColumnarValue> {
use arrow::compute::kernels::numeric::*;
+ fn check_short_circuit(arg: &ColumnarValue, op: &Operator) -> bool {
Review Comment:
Thanks @acking-you -- this looks great
Is there any reason to have this function defined in the `evaluate` method?
I think we could just make it a normal function and reduce the nesting level
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