build: Use specified branch of arrow-rs with workaround to invalid of…

…fset buffers from Java Arrow (apache#239)

* feat: Use specified branch of arrow-rs with workaround to invalid offset buffers from Java Arrow

* Use FunctionRegistry

* Fix

* Update

* Restore config

* Restore plan stability

core/Cargo.toml

@@ -29,12 +29,12 @@ include = [
 
 [dependencies]
 parquet-format = "4.0.0" # This must be kept in sync with that from parquet crate
-arrow = { version = "~50.0.0", features = ["prettyprint", "ffi", "chrono-tz"] }
-arrow-array = { version = "~50.0.0" }
-arrow-data = { version = "~50.0.0" }
-arrow-schema = { version = "~50.0.0" }
-arrow-string = { version = "~50.0.0" }
-parquet = { version = "~50.0.0", default-features = false, features = ["experimental"] }
+arrow = { git = "https://github.com/viirya/arrow-rs.git", rev = "3f1ae0c", features = ["prettyprint", "ffi", "chrono-tz"] }
+arrow-array = { git = "https://github.com/viirya/arrow-rs.git", rev = "3f1ae0c" }
+arrow-data = { git = "https://github.com/viirya/arrow-rs.git", rev = "3f1ae0c" }
+arrow-schema = { git = "https://github.com/viirya/arrow-rs.git", rev = "3f1ae0c" }
+arrow-string = { git = "https://github.com/viirya/arrow-rs.git", rev = "3f1ae0c" }
+parquet = { git = "https://github.com/viirya/arrow-rs.git", rev = "3f1ae0c", default-features = false, features = ["experimental"] }
 half = { version = "~2.1", default-features = false }
 futures = "0.3.28"
 mimalloc = { version = "*", default-features = false, optional = true }
@@ -66,9 +66,10 @@ 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 = "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"] }
+datafusion-common = { git = "https://github.com/viirya/arrow-datafusion.git", rev = "111a940" }
+datafusion = { default-features = false, git = "https://github.com/viirya/arrow-datafusion.git", rev = "111a940", features = ["unicode_expressions"] }
+datafusion-functions = { git = "https://github.com/viirya/arrow-datafusion.git", rev = "111a940" }
+datafusion-physical-expr = { git = "https://github.com/viirya/arrow-datafusion.git", rev = "111a940", default-features = false, features = ["unicode_expressions"] }
 unicode-segmentation = "^1.10.1"
 once_cell = "1.18.0"
 regex = "1.9.6"

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

@@ -27,7 +27,7 @@ use arrow_schema::{DataType, Field};
 use datafusion::logical_expr::{
     type_coercion::aggregates::avg_return_type, Accumulator, EmitTo, GroupsAccumulator,
 };
-use datafusion_common::{not_impl_err, DataFusionError, Result, ScalarValue};
+use datafusion_common::{not_impl_err, Result, ScalarValue};
 use datafusion_physical_expr::{expressions::format_state_name, AggregateExpr, PhysicalExpr};
 use std::{any::Any, sync::Arc};
 

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

@@ -25,7 +25,7 @@ use arrow_array::{
 };
 use arrow_schema::{DataType, Field};
 use datafusion::logical_expr::{Accumulator, EmitTo, GroupsAccumulator};
-use datafusion_common::{not_impl_err, DataFusionError, Result, ScalarValue};
+use datafusion_common::{not_impl_err, Result, ScalarValue};
 use datafusion_physical_expr::{expressions::format_state_name, AggregateExpr, PhysicalExpr};
 use std::{any::Any, sync::Arc};
 

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

@@ -22,7 +22,7 @@ use arrow::record_batch::RecordBatch;
 use arrow_array::cast::as_primitive_array;
 use arrow_schema::{DataType, Schema};
 use datafusion::physical_plan::ColumnarValue;
-use datafusion_common::{internal_err, DataFusionError, Result, ScalarValue};
+use datafusion_common::{internal_err, Result, ScalarValue};
 use datafusion_physical_expr::{aggregate::utils::down_cast_any_ref, PhysicalExpr};
 use std::{
     any::Any,

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

@@ -15,7 +15,7 @@
 // specific language governing permissions and limitations
 // under the License.
 
-use std::{cmp::min, str::FromStr, sync::Arc};
+use std::{any::Any, cmp::min, fmt::Debug, str::FromStr, sync::Arc};
 
 use arrow::{
     array::{
@@ -27,16 +27,18 @@ use arrow::{
 use arrow_array::{Array, ArrowNativeTypeOp, Decimal128Array};
 use arrow_schema::DataType;
 use datafusion::{
-    logical_expr::{BuiltinScalarFunction, ScalarFunctionImplementation},
+    execution::FunctionRegistry,
+    logical_expr::{
+        BuiltinScalarFunction, ScalarFunctionDefinition, ScalarFunctionImplementation,
+        ScalarUDFImpl, Signature, Volatility,
+    },
     physical_plan::ColumnarValue,
 };
 use datafusion_common::{
     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, math_expressions,
-};
+use datafusion_physical_expr::{math_expressions, udf::ScalarUDF};
 use num::{
     integer::{div_ceil, div_floor},
     BigInt, Signed, ToPrimitive,
@@ -46,20 +48,94 @@ use unicode_segmentation::UnicodeSegmentation;
 /// Create a physical scalar function.
 pub fn create_comet_physical_fun(
     fun_name: &str,
-    execution_props: &ExecutionProps,
     data_type: DataType,
-) -> Result<ScalarFunctionImplementation, DataFusionError> {
+    registry: &dyn FunctionRegistry,
+) -> Result<ScalarFunctionDefinition, DataFusionError> {
     match fun_name {
-        "ceil" => Ok(Arc::new(move |x| spark_ceil(x, &data_type))),
-        "floor" => Ok(Arc::new(move |x| spark_floor(x, &data_type))),
-        "rpad" => Ok(Arc::new(spark_rpad)),
-        "round" => Ok(Arc::new(move |x| spark_round(x, &data_type))),
-        "unscaled_value" => Ok(Arc::new(spark_unscaled_value)),
-        "make_decimal" => Ok(Arc::new(move |x| spark_make_decimal(x, &data_type))),
-        "decimal_div" => Ok(Arc::new(move |x| spark_decimal_div(x, &data_type))),
+        "ceil" => {
+            let scalar_func = CometScalarFunction::new(
+                "ceil".to_string(),
+                Signature::variadic_any(Volatility::Immutable),
+                data_type.clone(),
+                Arc::new(move |args| spark_ceil(args, &data_type)),
+            );
+            Ok(ScalarFunctionDefinition::UDF(Arc::new(
+                ScalarUDF::new_from_impl(scalar_func),
+            )))
+        }
+        "floor" => {
+            let scalar_func = CometScalarFunction::new(
+                "floor".to_string(),
+                Signature::variadic_any(Volatility::Immutable),
+                data_type.clone(),
+                Arc::new(move |args| spark_floor(args, &data_type)),
+            );
+            Ok(ScalarFunctionDefinition::UDF(Arc::new(
+                ScalarUDF::new_from_impl(scalar_func),
+            )))
+        }
+        "rpad" => {
+            let scalar_func = CometScalarFunction::new(
+                "rpad".to_string(),
+                Signature::variadic_any(Volatility::Immutable),
+                data_type.clone(),
+                Arc::new(spark_rpad),
+            );
+            Ok(ScalarFunctionDefinition::UDF(Arc::new(
+                ScalarUDF::new_from_impl(scalar_func),
+            )))
+        }
+        "round" => {
+            let scalar_func = CometScalarFunction::new(
+                "round".to_string(),
+                Signature::variadic_any(Volatility::Immutable),
+                data_type.clone(),
+                Arc::new(move |args| spark_round(args, &data_type)),
+            );
+            Ok(ScalarFunctionDefinition::UDF(Arc::new(
+                ScalarUDF::new_from_impl(scalar_func),
+            )))
+        }
+        "unscaled_value" => {
+            let scalar_func = CometScalarFunction::new(
+                "unscaled_value".to_string(),
+                Signature::variadic_any(Volatility::Immutable),
+                data_type.clone(),
+                Arc::new(spark_unscaled_value),
+            );
+            Ok(ScalarFunctionDefinition::UDF(Arc::new(
+                ScalarUDF::new_from_impl(scalar_func),
+            )))
+        }
+        "make_decimal" => {
+            let scalar_func = CometScalarFunction::new(
+                "make_decimal".to_string(),
+                Signature::variadic_any(Volatility::Immutable),
+                data_type.clone(),
+                Arc::new(move |args| spark_make_decimal(args, &data_type)),
+            );
+            Ok(ScalarFunctionDefinition::UDF(Arc::new(
+                ScalarUDF::new_from_impl(scalar_func),
+            )))
+        }
+        "decimal_div" => {
+            let scalar_func = CometScalarFunction::new(
+                "decimal_div".to_string(),
+                Signature::variadic_any(Volatility::Immutable),
+                data_type.clone(),
+                Arc::new(move |args| spark_decimal_div(args, &data_type)),
+            );
+            Ok(ScalarFunctionDefinition::UDF(Arc::new(
+                ScalarUDF::new_from_impl(scalar_func),
+            )))
+        }
         _ => {
-            let fun = &BuiltinScalarFunction::from_str(fun_name)?;
-            create_physical_fun(fun, execution_props)
+            let fun = BuiltinScalarFunction::from_str(fun_name);
+            if fun.is_err() {
+                Ok(ScalarFunctionDefinition::UDF(registry.udf(fun_name)?))
+            } else {
+                Ok(ScalarFunctionDefinition::BuiltIn(fun?))
+            }
         }
     }
 }
@@ -89,6 +165,61 @@ macro_rules! downcast_compute_op {
     }};
 }
 
+struct CometScalarFunction {
+    name: String,
+    signature: Signature,
+    data_type: DataType,
+    func: ScalarFunctionImplementation,
+}
+
+impl Debug for CometScalarFunction {
+    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
+        f.debug_struct("CometScalarFunction")
+            .field("name", &self.name)
+            .field("signature", &self.signature)
+            .field("data_type", &self.data_type)
+            .finish()
+    }
+}
+
+impl CometScalarFunction {
+    fn new(
+        name: String,
+        signature: Signature,
+        data_type: DataType,
+        func: ScalarFunctionImplementation,
+    ) -> Self {
+        Self {
+            name,
+            signature,
+            data_type,
+            func,
+        }
+    }
+}
+
+impl ScalarUDFImpl for CometScalarFunction {
+    fn as_any(&self) -> &dyn Any {
+        self
+    }
+
+    fn name(&self) -> &str {
+        self.name.as_str()
+    }
+
+    fn signature(&self) -> &Signature {
+        &self.signature
+    }
+
+    fn return_type(&self, _: &[DataType]) -> DataFusionResult<DataType> {
+        Ok(self.data_type.clone())
+    }
+
+    fn invoke(&self, args: &[ColumnarValue]) -> DataFusionResult<ColumnarValue> {
+        (self.func)(args)
+    }
+}
+
 /// `ceil` function that simulates Spark `ceil` expression
 pub fn spark_ceil(
     args: &[ColumnarValue],

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

@@ -18,7 +18,7 @@
 use arrow_array::RecordBatch;
 use arrow_schema::{DataType, Schema, TimeUnit};
 use datafusion::logical_expr::ColumnarValue;
-use datafusion_common::{internal_err, DataFusionError, ScalarValue};
+use datafusion_common::{internal_err, ScalarValue};
 use datafusion_physical_expr::PhysicalExpr;
 use jni::{
     objects::JByteArray,

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

@@ -23,7 +23,7 @@ use std::{
 };
 
 use arrow::{
-    compute::{hour_dyn, minute_dyn, second_dyn},
+    compute::{date_part, DatePart},
     record_batch::RecordBatch,
 };
 use arrow_schema::{DataType, Schema, TimeUnit::Microsecond};
@@ -101,7 +101,7 @@ impl PhysicalExpr for HourExec {
                         Some(self.timezone.clone().into()),
                     )),
                 );
-                let result = hour_dyn(&array)?;
+                let result = date_part(&array, DatePart::Hour)?;
 
                 Ok(ColumnarValue::Array(result))
             }
@@ -195,7 +195,7 @@ impl PhysicalExpr for MinuteExec {
                         Some(self.timezone.clone().into()),
                     )),
                 );
-                let result = minute_dyn(&array)?;
+                let result = date_part(&array, DatePart::Minute)?;
 
                 Ok(ColumnarValue::Array(result))
             }
@@ -289,7 +289,7 @@ impl PhysicalExpr for SecondExec {
                         Some(self.timezone.clone().into()),
                     )),
                 );
-                let result = second_dyn(&array)?;
+                let result = date_part(&array, DatePart::Second)?;
 
                 Ok(ColumnarValue::Array(result))
             }

core/src/execution/datafusion/operators/expand.rs

@@ -20,12 +20,12 @@ use arrow_schema::SchemaRef;
 use datafusion::{
     execution::TaskContext,
     physical_plan::{
-        DisplayAs, DisplayFormatType, ExecutionPlan, Partitioning, RecordBatchStream,
-        SendableRecordBatchStream,
+        DisplayAs, DisplayFormatType, ExecutionMode, ExecutionPlan, Partitioning, PlanProperties,
+        RecordBatchStream, SendableRecordBatchStream,
     },
 };
 use datafusion_common::DataFusionError;
-use datafusion_physical_expr::{PhysicalExpr, PhysicalSortExpr};
+use datafusion_physical_expr::{EquivalenceProperties, PhysicalExpr};
 use futures::{Stream, StreamExt};
 use std::{
     any::Any,
@@ -41,6 +41,7 @@ pub struct CometExpandExec {
     projections: Vec<Vec<Arc<dyn PhysicalExpr>>>,
     child: Arc<dyn ExecutionPlan>,
     schema: SchemaRef,
+    cache: PlanProperties,
 }
 
 impl CometExpandExec {
@@ -50,10 +51,17 @@ impl CometExpandExec {
         child: Arc<dyn ExecutionPlan>,
         schema: SchemaRef,
     ) -> Self {
+        let cache = PlanProperties::new(
+            EquivalenceProperties::new(schema.clone()),
+            Partitioning::UnknownPartitioning(1),
+            ExecutionMode::Bounded,
+        );
+
         Self {
             projections,
             child,
             schema,
+            cache,
         }
     }
 }
@@ -88,14 +96,6 @@ impl ExecutionPlan for CometExpandExec {
         self.schema.clone()
     }
 
-    fn output_partitioning(&self) -> Partitioning {
-        Partitioning::UnknownPartitioning(1)
-    }
-
-    fn output_ordering(&self) -> Option<&[PhysicalSortExpr]> {
-        None
-    }
-
     fn children(&self) -> Vec<Arc<dyn ExecutionPlan>> {
         vec![self.child.clone()]
     }
@@ -122,6 +122,10 @@ impl ExecutionPlan for CometExpandExec {
             ExpandStream::new(self.projections.clone(), child_stream, self.schema.clone());
         Ok(Box::pin(expand_stream))
     }
+
+    fn properties(&self) -> &PlanProperties {
+        &self.cache
+    }
 }
 
 pub struct ExpandStream {