chore: Cast module refactor boolean module

native/spark-expr/Cargo.toml

@@ -95,3 +95,7 @@ harness = false
 [[test]]
 name = "test_udf_registration"
 path = "tests/spark_expr_reg.rs"
+
+[[bench]]
+name = "cast_from_boolean"
+harness = false

native/spark-expr/benches/cast_from_boolean.rs

@@ -0,0 +1,90 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License.  You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied.  See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+use arrow::array::{BooleanBuilder, RecordBatch};
+use arrow::datatypes::{DataType, Field, Schema};
+use criterion::{criterion_group, criterion_main, Criterion};
+use datafusion::physical_expr::expressions::Column;
+use datafusion::physical_expr::PhysicalExpr;
+use datafusion_comet_spark_expr::{Cast, EvalMode, SparkCastOptions};
+use std::sync::Arc;
+
+fn criterion_benchmark(c: &mut Criterion) {
+    let expr = Arc::new(Column::new("a", 0));
+    let boolean_batch = create_boolean_batch();
+    let spark_cast_options = SparkCastOptions::new(EvalMode::Legacy, "UTC", false);
+    Cast::new(expr.clone(), DataType::Int8, spark_cast_options.clone());
+    let cast_to_i8 = Cast::new(expr.clone(), DataType::Int8, spark_cast_options.clone());
+    let cast_to_i16 = Cast::new(expr.clone(), DataType::Int16, spark_cast_options.clone());
+    let cast_to_i32 = Cast::new(expr.clone(), DataType::Int32, spark_cast_options.clone());
+    let cast_to_i64 = Cast::new(expr.clone(), DataType::Int64, spark_cast_options.clone());
+    let cast_to_f32 = Cast::new(expr.clone(), DataType::Float32, spark_cast_options.clone());
+    let cast_to_f64 = Cast::new(expr.clone(), DataType::Float64, spark_cast_options.clone());
+    let cast_to_str = Cast::new(expr.clone(), DataType::Utf8, spark_cast_options.clone());
+    let cast_to_decimal = Cast::new(expr, DataType::Decimal128(10, 4), spark_cast_options);
+
+    let mut group = c.benchmark_group("cast_bool".to_string());
+    group.bench_function("i8", |b| {
+        b.iter(|| cast_to_i8.evaluate(&boolean_batch).unwrap());
+    });
+    group.bench_function("i16", |b| {
+        b.iter(|| cast_to_i16.evaluate(&boolean_batch).unwrap());
+    });
+    group.bench_function("i32", |b| {
+        b.iter(|| cast_to_i32.evaluate(&boolean_batch).unwrap());
+    });
+    group.bench_function("i64", |b| {
+        b.iter(|| cast_to_i64.evaluate(&boolean_batch).unwrap());
+    });
+    group.bench_function("f32", |b| {
+        b.iter(|| cast_to_f32.evaluate(&boolean_batch).unwrap());
+    });
+    group.bench_function("f64", |b| {
+        b.iter(|| cast_to_f64.evaluate(&boolean_batch).unwrap());
+    });
+    group.bench_function("str", |b| {
+        b.iter(|| cast_to_str.evaluate(&boolean_batch).unwrap());
+    });
+    group.bench_function("decimal", |b| {
+        b.iter(|| cast_to_decimal.evaluate(&boolean_batch).unwrap());
+    });
+}
+
+fn create_boolean_batch() -> RecordBatch {
+    let schema = Arc::new(Schema::new(vec![Field::new("a", DataType::Boolean, true)]));
+    let mut b = BooleanBuilder::with_capacity(1000);
+    for i in 0..1000 {
+        if i % 10 == 0 {
+            b.append_null();
+        } else {
+            b.append_value(rand::random::<bool>());
+        }
+    }
+    let array = b.finish();
+    RecordBatch::try_new(schema, vec![Arc::new(array)]).unwrap()
+}
+
+fn config() -> Criterion {
+    Criterion::default()
+}
+
+criterion_group! {
+    name = benches;
+    config = config();
+    targets = criterion_benchmark
+}
+criterion_main!(benches);

native/spark-expr/src/conversion_funcs/boolean.rs

@@ -0,0 +1,196 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License.  You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied.  See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+use crate::SparkResult;
+use arrow::array::{ArrayRef, AsArray, Decimal128Array};
+use arrow::datatypes::DataType;
+use std::sync::Arc;
+
+pub fn is_df_cast_from_bool_spark_compatible(to_type: &DataType) -> bool {
+    use DataType::*;
+    matches!(
+        to_type,
+        Int8 | Int16 | Int32 | Int64 | Float32 | Float64 | Utf8
+    )
+}
+
+// only DF incompatible boolean cast
+pub fn cast_boolean_to_decimal(
+    array: &ArrayRef,
+    precision: u8,
+    scale: i8,
+) -> SparkResult<ArrayRef> {
+    let bool_array = array.as_boolean();
+    let scaled_val = 10_i128.pow(scale as u32);
+    let result: Decimal128Array = bool_array
+        .iter()
+        .map(|v| v.map(|b| if b { scaled_val } else { 0 }))
+        .collect();
+    Ok(Arc::new(result.with_precision_and_scale(precision, scale)?))
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::cast::cast_array;
+    use crate::{EvalMode, SparkCastOptions};
+    use arrow::array::{
+        Array, ArrayRef, BooleanArray, Float32Array, Float64Array, Int16Array, Int32Array,
+        Int64Array, Int8Array, StringArray,
+    };
+    use arrow::datatypes::DataType::Decimal128;
+    use std::sync::Arc;
+
+    fn test_input_bool_array() -> ArrayRef {
+        Arc::new(BooleanArray::from(vec![Some(true), Some(false), None]))
+    }
+
+    fn test_input_spark_opts() -> SparkCastOptions {
+        SparkCastOptions::new(EvalMode::Legacy, "Asia/Kolkata", false)
+    }
+
+    #[test]
+    fn test_is_df_cast_from_bool_spark_compatible() {
+        assert!(!is_df_cast_from_bool_spark_compatible(&DataType::Boolean));
+        assert!(is_df_cast_from_bool_spark_compatible(&DataType::Int8));
+        assert!(is_df_cast_from_bool_spark_compatible(&DataType::Int16));
+        assert!(is_df_cast_from_bool_spark_compatible(&DataType::Int32));
+        assert!(is_df_cast_from_bool_spark_compatible(&DataType::Int64));
+        assert!(is_df_cast_from_bool_spark_compatible(&DataType::Float32));
+        assert!(is_df_cast_from_bool_spark_compatible(&DataType::Float64));
+        assert!(is_df_cast_from_bool_spark_compatible(&DataType::Utf8));
+        assert!(!is_df_cast_from_bool_spark_compatible(
+            &DataType::Decimal128(10, 4)
+        ));
+        assert!(!is_df_cast_from_bool_spark_compatible(&DataType::Null));
+    }
+
+    #[test]
+    fn test_bool_to_int8_cast() {
+        let result = cast_array(
+            test_input_bool_array(),
+            &DataType::Int8,
+            &test_input_spark_opts(),
+        )
+        .unwrap();
+        let arr = result.as_any().downcast_ref::<Int8Array>().unwrap();
+        assert_eq!(arr.value(0), 1);
+        assert_eq!(arr.value(1), 0);
+        assert!(arr.is_null(2));
+    }
+
+    #[test]
+    fn test_bool_to_int16_cast() {
+        let result = cast_array(
+            test_input_bool_array(),
+            &DataType::Int16,
+            &test_input_spark_opts(),
+        )
+        .unwrap();
+        let arr = result.as_any().downcast_ref::<Int16Array>().unwrap();
+        assert_eq!(arr.value(0), 1);
+        assert_eq!(arr.value(1), 0);
+        assert!(arr.is_null(2));
+    }
+
+    #[test]
+    fn test_bool_to_int32_cast() {
+        let result = cast_array(
+            test_input_bool_array(),
+            &DataType::Int32,
+            &test_input_spark_opts(),
+        )
+        .unwrap();
+        let arr = result.as_any().downcast_ref::<Int32Array>().unwrap();
+        assert_eq!(arr.value(0), 1);
+        assert_eq!(arr.value(1), 0);
+        assert!(arr.is_null(2));
+    }
+
+    #[test]
+    fn test_bool_to_int64_cast() {
+        let result = cast_array(
+            test_input_bool_array(),
+            &DataType::Int64,
+            &test_input_spark_opts(),
+        )
+        .unwrap();
+        let arr = result.as_any().downcast_ref::<Int64Array>().unwrap();
+        assert_eq!(arr.value(0), 1);
+        assert_eq!(arr.value(1), 0);
+        assert!(arr.is_null(2));
+    }
+
+    #[test]
+    fn test_bool_to_float32_cast() {
+        let result = cast_array(
+            test_input_bool_array(),
+            &DataType::Float32,
+            &test_input_spark_opts(),
+        )
+        .unwrap();
+        let arr = result.as_any().downcast_ref::<Float32Array>().unwrap();
+        assert_eq!(arr.value(0), 1.0);
+        assert_eq!(arr.value(1), 0.0);
+        assert!(arr.is_null(2));
+    }
+
+    #[test]
+    fn test_bool_to_float64_cast() {
+        let result = cast_array(
+            test_input_bool_array(),
+            &DataType::Float64,
+            &test_input_spark_opts(),
+        )
+        .unwrap();
+        let arr = result.as_any().downcast_ref::<Float64Array>().unwrap();
+        assert_eq!(arr.value(0), 1.0);
+        assert_eq!(arr.value(1), 0.0);
+        assert!(arr.is_null(2));
+    }
+
+    #[test]
+    fn test_bool_to_string_cast() {
+        let result = cast_array(
+            test_input_bool_array(),
+            &DataType::Utf8,
+            &test_input_spark_opts(),
+        )
+        .unwrap();
+        let arr = result.as_any().downcast_ref::<StringArray>().unwrap();
+        assert_eq!(arr.value(0), "true");
+        assert_eq!(arr.value(1), "false");
+        assert!(arr.is_null(2));
+    }
+
+    #[test]
+    fn test_bool_to_decimal_cast() {
+        let result = cast_array(
+            test_input_bool_array(),
+            &Decimal128(10, 4),
+            &test_input_spark_opts(),
+        )
+        .unwrap();
+        let expected_arr = Decimal128Array::from(vec![10000_i128, 0_i128])
+            .with_precision_and_scale(10, 4)
+            .unwrap();
+        let arr = result.as_any().downcast_ref::<Decimal128Array>().unwrap();
+        assert_eq!(arr.value(0), expected_arr.value(0));
+        assert_eq!(arr.value(1), expected_arr.value(1));
+        assert!(arr.is_null(2));
+    }
+}