Add microbenchmark (compared to ExprOrExpr)

Author: CuteChuanChuan

datafusion/physical-expr/benches/case_when.rs

@@ -20,6 +20,7 @@ use arrow::datatypes::{ArrowNativeTypeOp, Field, Schema};
 use arrow::record_batch::RecordBatch;
 use arrow::util::test_util::seedable_rng;
 use criterion::{BenchmarkId, Criterion, criterion_group, criterion_main};
+use datafusion_common::ScalarValue;
 use datafusion_expr::Operator;
 use datafusion_physical_expr::expressions::{BinaryExpr, case, col, lit};
 use datafusion_physical_expr_common::physical_expr::PhysicalExpr;
@@ -93,6 +94,7 @@ fn criterion_benchmark(c: &mut Criterion) {
     run_benchmarks(c, &make_batch(8192, 100));
 
     benchmark_lookup_table_case_when(c, 8192);
+    benchmark_divide_by_zero_protection(c, 8192);
 }
 
 fn run_benchmarks(c: &mut Criterion, batch: &RecordBatch) {
@@ -517,5 +519,106 @@ fn benchmark_lookup_table_case_when(c: &mut Criterion, batch_size: usize) {
     }
 }
 
+fn benchmark_divide_by_zero_protection(c: &mut Criterion, batch_size: usize) {
+    let mut group = c.benchmark_group("divide_by_zero_protection");
+
+    for zero_percentage in [0.0, 0.1, 0.5, 0.9] {
+        let rng = &mut seedable_rng();
+
+        let numerator: Int32Array =
+            (0..batch_size).map(|_| Some(rng.random::<i32>())).collect();
+
+        let divisor_values: Vec<Option<i32>> = (0..batch_size)
+            .map(|_| {
+                let roll: f32 = rng.random();
+                if roll < zero_percentage {
+                    Some(0)
+                } else {
+                    let mut val = rng.random::<i32>();
+                    while val == 0 {
+                        val = rng.random::<i32>();
+                    }
+                    Some(val)
+                }
+            })
+            .collect();
+
+        let divisor: Int32Array = divisor_values.iter().cloned().collect();
+        let divisor_copy: Int32Array = divisor_values.iter().cloned().collect();
+
+        let schema = Arc::new(Schema::new(vec![
+            Field::new("numerator", numerator.data_type().clone(), true),
+            Field::new("divisor", divisor.data_type().clone(), true),
+            Field::new("divisor_copy", divisor_copy.data_type().clone(), true),
+        ]));
+
+        let batch = RecordBatch::try_new(
+            Arc::clone(&schema),
+            vec![
+                Arc::new(numerator),
+                Arc::new(divisor),
+                Arc::new(divisor_copy),
+            ],
+        )
+        .unwrap();
+
+        let numerator_col = col("numerator", &batch.schema()).unwrap();
+        let divisor_col = col("divisor", &batch.schema()).unwrap();
+        let divisor_copy_col = col("divisor_copy", &batch.schema()).unwrap();
+
+        group.bench_function(
+            format!(
+                "{} rows, {}% zeros: DivideByZeroProtection",
+                batch_size,
+                (zero_percentage * 100.0) as i32
+            ),
+            |b| {
+                let when = Arc::new(BinaryExpr::new(
+                    Arc::clone(&divisor_col),
+                    Operator::Gt,
+                    lit(0i32),
+                ));
+                let then = Arc::new(BinaryExpr::new(
+                    Arc::clone(&numerator_col),
+                    Operator::Divide,
+                    Arc::clone(&divisor_col),
+                ));
+                let else_null: Arc<dyn PhysicalExpr> = lit(ScalarValue::Int32(None));
+                let expr =
+                    Arc::new(case(None, vec![(when, then)], Some(else_null)).unwrap());
+
+                b.iter(|| black_box(expr.evaluate(black_box(&batch)).unwrap()))
+            },
+        );
+
+        group.bench_function(
+            format!(
+                "{} rows, {}% zeros: ExpressionOrExpression",
+                batch_size,
+                (zero_percentage * 100.0) as i32
+            ),
+            |b| {
+                let when = Arc::new(BinaryExpr::new(
+                    Arc::clone(&divisor_copy_col),
+                    Operator::Gt,
+                    lit(0i32),
+                ));
+                let then = Arc::new(BinaryExpr::new(
+                    Arc::clone(&numerator_col),
+                    Operator::Divide,
+                    Arc::clone(&divisor_col),
+                ));
+                let else_null: Arc<dyn PhysicalExpr> = lit(ScalarValue::Int32(None));
+                let expr =
+                    Arc::new(case(None, vec![(when, then)], Some(else_null)).unwrap());
+
+                b.iter(|| black_box(expr.evaluate(black_box(&batch)).unwrap()))
+            },
+        );
+    }
+
+    group.finish();
+}
+
 criterion_group!(benches, criterion_benchmark);
 criterion_main!(benches);