chore : Refactor planner random and partition expressions

native/core/src/execution/expressions/mod.rs

@@ -22,6 +22,8 @@ pub mod bitwise;
 pub mod comparison;
 pub mod logical;
 pub mod nullcheck;
+pub mod partition;
+pub mod random;
 pub mod strings;
 pub mod subquery;
 pub mod temporal;

native/core/src/execution/expressions/partition.rs

@@ -0,0 +1,57 @@
+// 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::execution::operators::ExecutionError;
+use crate::execution::planner::expression_registry::ExpressionBuilder;
+use crate::execution::planner::PhysicalPlanner;
+use arrow::datatypes::SchemaRef;
+use datafusion::common::ScalarValue;
+use datafusion::physical_expr::expressions::Literal;
+use datafusion::physical_expr::PhysicalExpr;
+use datafusion_comet_proto::spark_expression::Expr;
+use datafusion_comet_spark_expr::monotonically_increasing_id::MonotonicallyIncreasingId;
+use std::sync::Arc;
+
+pub struct SparkPartitionIdBuilder;
+
+impl ExpressionBuilder for SparkPartitionIdBuilder {
+    fn build(
+        &self,
+        _spark_expr: &Expr,
+        _input_schema: SchemaRef,
+        planner: &PhysicalPlanner,
+    ) -> Result<Arc<dyn PhysicalExpr>, ExecutionError> {
+        Ok(Arc::new(Literal::new(ScalarValue::Int32(Some(
+            planner.partition(),
+        )))))
+    }
+}
+
+pub struct MonotonicallyIncreasingIdBuilder;
+
+impl ExpressionBuilder for MonotonicallyIncreasingIdBuilder {
+    fn build(
+        &self,
+        _spark_expr: &Expr,
+        _input_schema: SchemaRef,
+        planner: &PhysicalPlanner,
+    ) -> Result<Arc<dyn PhysicalExpr>, ExecutionError> {
+        Ok(Arc::new(MonotonicallyIncreasingId::from_partition_id(
+            planner.partition(),
+        )))
+    }
+}

native/core/src/execution/expressions/random.rs

@@ -0,0 +1,56 @@
+// 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::execution::operators::ExecutionError;
+use crate::execution::planner::expression_registry::ExpressionBuilder;
+use crate::execution::planner::PhysicalPlanner;
+use crate::extract_expr;
+use arrow::datatypes::SchemaRef;
+use datafusion::physical_expr::PhysicalExpr;
+use datafusion_comet_proto::spark_expression::Expr;
+use datafusion_comet_spark_expr::{RandExpr, RandnExpr};
+use std::sync::Arc;
+
+pub struct RandBuilder;
+
+impl ExpressionBuilder for RandBuilder {
+    fn build(
+        &self,
+        spark_expr: &Expr,
+        _input_schema: SchemaRef,
+        planner: &PhysicalPlanner,
+    ) -> Result<Arc<dyn PhysicalExpr>, ExecutionError> {
+        let expr = extract_expr!(spark_expr, Rand);
+        let seed = expr.seed.wrapping_add(planner.partition().into());
+        Ok(Arc::new(RandExpr::new(seed)))
+    }
+}
+
+pub struct RandnBuilder;
+
+impl ExpressionBuilder for RandnBuilder {
+    fn build(
+        &self,
+        spark_expr: &Expr,
+        _input_schema: SchemaRef,
+        planner: &PhysicalPlanner,
+    ) -> Result<Arc<dyn PhysicalExpr>, ExecutionError> {
+        let expr = extract_expr!(spark_expr, Randn);
+        let seed = expr.seed.wrapping_add(planner.partition().into());
+        Ok(Arc::new(RandnExpr::new(seed)))
+    }
+}

native/core/src/execution/planner.rs

@@ -123,12 +123,11 @@ use datafusion_comet_proto::{
     },
     spark_partitioning::{partitioning::PartitioningStruct, Partitioning as SparkPartitioning},
 };
-use datafusion_comet_spark_expr::monotonically_increasing_id::MonotonicallyIncreasingId;
 use datafusion_comet_spark_expr::{
     ArrayInsert, Avg, AvgDecimal, Cast, CheckOverflow, Correlation, Covariance, CreateNamedStruct,
     DecimalRescaleCheckOverflow, GetArrayStructFields, GetStructField, IfExpr, ListExtract,
-    NormalizeNaNAndZero, RandExpr, RandnExpr, SparkCastOptions, Stddev, SumDecimal, ToJson,
-    UnboundColumn, Variance, WideDecimalBinaryExpr, WideDecimalOp,
+    NormalizeNaNAndZero, SparkCastOptions, Stddev, SumDecimal, ToJson, UnboundColumn, Variance,
+    WideDecimalBinaryExpr, WideDecimalOp,
 };
 use itertools::Itertools;
 use jni::objects::GlobalRef;
@@ -197,6 +196,11 @@ impl PhysicalPlanner {
         &self.session_ctx
     }
 
+    /// Return partition id of this planner.
+    pub fn partition(&self) -> i32 {
+        self.partition
+    }
+
     /// get DataFusion PartitionedFiles from a Spark FilePartition
     fn get_partitioned_files(
         &self,
@@ -655,20 +659,6 @@ impl PhysicalPlanner {
                     expr.legacy_negative_index,
                 )))
             }
-            ExprStruct::Rand(expr) => {
-                let seed = expr.seed.wrapping_add(self.partition.into());
-                Ok(Arc::new(RandExpr::new(seed)))
-            }
-            ExprStruct::Randn(expr) => {
-                let seed = expr.seed.wrapping_add(self.partition.into());
-                Ok(Arc::new(RandnExpr::new(seed)))
-            }
-            ExprStruct::SparkPartitionId(_) => Ok(Arc::new(DataFusionLiteral::new(
-                ScalarValue::Int32(Some(self.partition)),
-            ))),
-            ExprStruct::MonotonicallyIncreasingId(_) => Ok(Arc::new(
-                MonotonicallyIncreasingId::from_partition_id(self.partition),
-            )),
             ExprStruct::ToCsv(expr) => {
                 let csv_struct_expr =
                     self.create_expr(expr.child.as_ref().unwrap(), Arc::clone(&input_schema))?;

native/core/src/execution/planner/expression_registry.rs

@@ -184,6 +184,12 @@ impl ExpressionRegistry {
 
         // Register temporal expressions
         self.register_temporal_expressions();
+
+        // Register random expressions
+        self.register_random_expressions();
+
+        // Register partition expressions
+        self.register_partition_expressions();
     }
 
     /// Register arithmetic expression builders
@@ -386,4 +392,28 @@ impl ExpressionRegistry {
             )),
         }
     }
+
+    /// Register random expression builders
+    fn register_random_expressions(&mut self) {
+        use crate::execution::expressions::random::*;
+
+        self.builders
+            .insert(ExpressionType::Rand, Box::new(RandBuilder));
+        self.builders
+            .insert(ExpressionType::Randn, Box::new(RandnBuilder));
+    }
+
+    /// Register partition expression builders
+    fn register_partition_expressions(&mut self) {
+        use crate::execution::expressions::partition::*;
+
+        self.builders.insert(
+            ExpressionType::SparkPartitionId,
+            Box::new(SparkPartitionIdBuilder),
+        );
+        self.builders.insert(
+            ExpressionType::MonotonicallyIncreasingId,
+            Box::new(MonotonicallyIncreasingIdBuilder),
+        );
+    }
 }