build: Upgrade DF to 36.0.0 and arrow-rs 50.0.0

core/Cargo.toml

@@ -66,9 +66,9 @@ itertools = "0.11.0"
 chrono = { version = "0.4", default-features = false, features = ["clock"] }
 chrono-tz = { version = "0.8" }
 paste = "1.0.14"
-datafusion-common = { version = "35.0.0" }
-datafusion = { default-features = false, version = "35.0.0", features = ["unicode_expressions"] }
-datafusion-physical-expr = { version = "35.0.0", default-features = false , features = ["unicode_expressions"] }
+datafusion-common = { version = "36.0.0" }
+datafusion = { default-features = false, version = "36.0.0", features = ["unicode_expressions"] }
+datafusion-physical-expr = { version = "36.0.0", default-features = false , features = ["unicode_expressions"] }
 unicode-segmentation = "^1.10.1"
 once_cell = "1.18.0"
 regex = "1.9.6"

core/benches/common.rs

@@ -45,6 +45,7 @@ pub fn create_int64_array(size: usize, null_density: f32, min: i64, max: i64) ->
         .collect()
 }
 
+#[allow(dead_code)]
 pub fn create_primitive_array<T>(size: usize, null_density: f32) -> PrimitiveArray<T>
 where
     T: ArrowPrimitiveType,
@@ -64,6 +65,7 @@ where
 
 /// Creates a dictionary with random keys and values, with value type `T`.
 /// Note here the keys are the dictionary indices.
+#[allow(dead_code)]
 pub fn create_dictionary_array<T>(
     size: usize,
     value_size: usize,

core/src/execution/datafusion/expressions/avg.rs

@@ -24,11 +24,11 @@ use arrow_array::{
     Array, ArrayRef, ArrowNumericType, Int64Array, PrimitiveArray,
 };
 use arrow_schema::{DataType, Field};
-use datafusion::logical_expr::{type_coercion::aggregates::avg_return_type, Accumulator};
-use datafusion_common::{not_impl_err, DataFusionError, Result, ScalarValue};
-use datafusion_physical_expr::{
-    expressions::format_state_name, AggregateExpr, EmitTo, GroupsAccumulator, PhysicalExpr,
+use datafusion::logical_expr::{
+    type_coercion::aggregates::avg_return_type, Accumulator, EmitTo, GroupsAccumulator,
 };
+use datafusion_common::{not_impl_err, DataFusionError, Result, ScalarValue};
+use datafusion_physical_expr::{expressions::format_state_name, AggregateExpr, PhysicalExpr};
 use std::{any::Any, sync::Arc};
 
 use arrow_array::ArrowNativeTypeOp;
@@ -146,7 +146,7 @@ pub struct AvgAccumulator {
 }
 
 impl Accumulator for AvgAccumulator {
-    fn state(&self) -> Result<Vec<ScalarValue>> {
+    fn state(&mut self) -> Result<Vec<ScalarValue>> {
         Ok(vec![
             ScalarValue::Float64(self.sum),
             ScalarValue::from(self.count),
@@ -175,7 +175,7 @@ impl Accumulator for AvgAccumulator {
         Ok(())
     }
 
-    fn evaluate(&self) -> Result<ScalarValue> {
+    fn evaluate(&mut self) -> Result<ScalarValue> {
         Ok(ScalarValue::Float64(
             self.sum.map(|f| f / self.count as f64),
         ))

core/src/execution/datafusion/expressions/avg_decimal.rs

@@ -24,11 +24,9 @@ use arrow_array::{
     Array, ArrayRef, Decimal128Array, Int64Array, PrimitiveArray,
 };
 use arrow_schema::{DataType, Field};
-use datafusion::logical_expr::Accumulator;
+use datafusion::logical_expr::{Accumulator, EmitTo, GroupsAccumulator};
 use datafusion_common::{not_impl_err, DataFusionError, Result, ScalarValue};
-use datafusion_physical_expr::{
-    expressions::format_state_name, AggregateExpr, EmitTo, GroupsAccumulator, PhysicalExpr,
-};
+use datafusion_physical_expr::{expressions::format_state_name, AggregateExpr, PhysicalExpr};
 use std::{any::Any, sync::Arc};
 
 use arrow_array::ArrowNativeTypeOp;
@@ -214,7 +212,7 @@ impl AvgDecimalAccumulator {
 }
 
 impl Accumulator for AvgDecimalAccumulator {
-    fn state(&self) -> Result<Vec<ScalarValue>> {
+    fn state(&mut self) -> Result<Vec<ScalarValue>> {
         Ok(vec![
             ScalarValue::Decimal128(self.sum, self.sum_precision, self.sum_scale),
             ScalarValue::from(self.count),
@@ -266,7 +264,7 @@ impl Accumulator for AvgDecimalAccumulator {
         Ok(())
     }
 
-    fn evaluate(&self) -> Result<ScalarValue> {
+    fn evaluate(&mut self) -> Result<ScalarValue> {
         fn make_decimal128(value: Option<i128>, precision: u8, scale: i8) -> ScalarValue {
             ScalarValue::Decimal128(value, precision, scale)
         }

core/src/execution/datafusion/expressions/scalar_funcs.rs

@@ -31,13 +31,11 @@ use datafusion::{
     physical_plan::ColumnarValue,
 };
 use datafusion_common::{
-    cast::as_generic_string_array, internal_err, DataFusionError, Result as DataFusionResult,
-    ScalarValue,
+    cast::as_generic_string_array, exec_err, internal_err, DataFusionError,
+    Result as DataFusionResult, ScalarValue,
 };
 use datafusion_physical_expr::{
-    execution_props::ExecutionProps,
-    functions::{create_physical_fun, make_scalar_function},
-    math_expressions,
+    execution_props::ExecutionProps, functions::create_physical_fun, math_expressions,
 };
 use num::{BigInt, Signed, ToPrimitive};
 use unicode_segmentation::UnicodeSegmentation;
@@ -366,7 +364,12 @@ fn spark_round(
                 let (precision, scale) = get_precision_scale(data_type);
                 make_decimal_array(array, precision, scale, &f)
             }
-            _ => make_scalar_function(math_expressions::round)(args),
+            DataType::Float32 | DataType::Float64 => {
+                Ok(ColumnarValue::Array(math_expressions::round(&[
+                    array.clone()
+                ])?))
+            }
+            dt => exec_err!("Not supported datatype[{dt}] for ROUND"),
         },
         ColumnarValue::Scalar(a) => match a {
             ScalarValue::Int64(a) if *point < 0 => {
@@ -386,7 +389,10 @@ fn spark_round(
                 let (precision, scale) = get_precision_scale(data_type);
                 make_decimal_scalar(a, precision, scale, &f)
             }
-            _ => make_scalar_function(math_expressions::round)(args),
+            ScalarValue::Float32(_) | ScalarValue::Float64(_) => Ok(ColumnarValue::Scalar(
+                ScalarValue::try_from_array(&math_expressions::round(&[a.to_array()?])?, 0)?,
+            )),
+            dt => exec_err!("Not supported datatype[{dt}] for ROUND"),
         },
     }
 }