chore: Upgrade to DataFusion 44.0.0

native/Cargo.toml

@@ -33,20 +33,21 @@ edition = "2021"
 rust-version = "1.79"
 
 [workspace.dependencies]
-arrow = { version = "53.2.0", features = ["prettyprint", "ffi", "chrono-tz"] }
-arrow-array = { version = "53.2.0" }
-arrow-buffer = { version = "53.2.0" }
-arrow-data = { version = "53.2.0" }
-arrow-schema = { version = "53.2.0" }
-parquet = { version = "53.2.0", default-features = false, features = ["experimental"] }
-datafusion = { version = "43.0.0", default-features = false, features = ["unicode_expressions", "crypto_expressions"] }
-datafusion-common = { version = "43.0.0" }
-datafusion-functions = { version = "43.0.0", features = ["crypto_expressions"] }
-datafusion-functions-nested = { version = "43.0.0", default-features = false }
-datafusion-expr = { version = "43.0.0", default-features = false }
-datafusion-execution = { version = "43.0.0", default-features = false }
-datafusion-physical-plan = { version = "43.0.0", default-features = false }
-datafusion-physical-expr = { version = "43.0.0", default-features = false }
+arrow = { version = "53.3.0", features = ["prettyprint", "ffi", "chrono-tz"] }
+arrow-array = { version = "53.3.0" }
+arrow-buffer = { version = "53.3.0" }
+arrow-data = { version = "53.3.0" }
+arrow-schema = { version = "53.3.0" }
+parquet = { version = "53.3.0", default-features = false, features = ["experimental"] }
+datafusion = { git = "https://github.com/apache/datafusion.git", rev = "3864b113c3e3fe85e18462d6374f8244c4f77b27", default-features = false, features = ["unicode_expressions", "crypto_expressions"] }
+datafusion-common = { git = "https://github.com/apache/datafusion.git", rev = "3864b113c3e3fe85e18462d6374f8244c4f77b27", default-features = false }
+datafusion-functions = { git = "https://github.com/apache/datafusion.git", rev = "3864b113c3e3fe85e18462d6374f8244c4f77b27", default-features = false, features = ["crypto_expressions"] }
+datafusion-functions-nested = { git = "https://github.com/apache/datafusion.git", rev = "3864b113c3e3fe85e18462d6374f8244c4f77b27", default-features = false }
+datafusion-expr = { git = "https://github.com/apache/datafusion.git", rev = "3864b113c3e3fe85e18462d6374f8244c4f77b27", default-features = false }
+datafusion-expr-common = { git = "https://github.com/apache/datafusion.git", rev = "3864b113c3e3fe85e18462d6374f8244c4f77b27", default-features = false }
+datafusion-execution = { git = "https://github.com/apache/datafusion.git", rev = "3864b113c3e3fe85e18462d6374f8244c4f77b27", default-features = false }
+datafusion-physical-plan = { git = "https://github.com/apache/datafusion.git", rev = "3864b113c3e3fe85e18462d6374f8244c4f77b27", default-features = false }
+datafusion-physical-expr = { git = "https://github.com/apache/datafusion.git", rev = "3864b113c3e3fe85e18462d6374f8244c4f77b27", default-features = false }
 datafusion-comet-spark-expr = { path = "spark-expr", version = "0.5.0" }
 datafusion-comet-proto = { path = "proto", version = "0.5.0" }
 chrono = { version = "0.4", default-features = false, features = ["clock"] }

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

@@ -19,26 +19,37 @@ use crate::{execution::util::spark_bloom_filter::SparkBloomFilter, parquet::data
 use arrow::record_batch::RecordBatch;
 use arrow_array::cast::as_primitive_array;
 use arrow_schema::{DataType, Schema};
-use datafusion::physical_expr_common::physical_expr::down_cast_any_ref;
 use datafusion::physical_plan::ColumnarValue;
 use datafusion_common::{internal_err, Result, ScalarValue};
 use datafusion_physical_expr::PhysicalExpr;
-use std::{
-    any::Any,
-    fmt::Display,
-    hash::{Hash, Hasher},
-    sync::Arc,
-};
+use std::hash::Hash;
+use std::{any::Any, fmt::Display, sync::Arc};
 
 /// A physical expression that checks if a value might be in a bloom filter. It corresponds to the
 /// Spark's `BloomFilterMightContain` expression.
-#[derive(Debug, Hash)]
+#[derive(Debug, Eq)]
 pub struct BloomFilterMightContain {
     pub bloom_filter_expr: Arc<dyn PhysicalExpr>,
     pub value_expr: Arc<dyn PhysicalExpr>,
     bloom_filter: Option<SparkBloomFilter>,
 }
 
+impl Hash for BloomFilterMightContain {
+    fn hash<H: std::hash::Hasher>(&self, state: &mut H) {
+        self.bloom_filter_expr.hash(state);
+        self.value_expr.hash(state);
+        self.bloom_filter.hash(state);
+    }
+}
+
+impl PartialEq for BloomFilterMightContain {
+    fn eq(&self, other: &Self) -> bool {
+        self.bloom_filter_expr.eq(&other.bloom_filter_expr)
+            && self.value_expr.eq(&other.value_expr)
+            && self.bloom_filter.eq(&other.bloom_filter)
+    }
+}
+
 impl Display for BloomFilterMightContain {
     fn fmt(&self, f: &mut std::fmt::Formatter) -> std::fmt::Result {
         write!(
@@ -49,18 +60,6 @@ impl Display for BloomFilterMightContain {
     }
 }
 
-impl PartialEq<dyn Any> for BloomFilterMightContain {
-    fn eq(&self, _other: &dyn Any) -> bool {
-        down_cast_any_ref(_other)
-            .downcast_ref::<Self>()
-            .map(|other| {
-                self.bloom_filter_expr.eq(&other.bloom_filter_expr)
-                    && self.value_expr.eq(&other.value_expr)
-            })
-            .unwrap_or(false)
-    }
-}
-
 fn evaluate_bloom_filter(
     bloom_filter_expr: &Arc<dyn PhysicalExpr>,
 ) -> Result<Option<SparkBloomFilter>> {
@@ -141,11 +140,4 @@ impl PhysicalExpr for BloomFilterMightContain {
             Arc::clone(&children[1]),
         )?))
     }
-
-    fn dyn_hash(&self, state: &mut dyn Hasher) {
-        let mut s = state;
-        self.bloom_filter_expr.hash(&mut s);
-        self.value_expr.hash(&mut s);
-        self.hash(&mut s);
-    }
 }

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

@@ -22,7 +22,6 @@ use crate::{
 use arrow_array::RecordBatch;
 use arrow_schema::{DataType, Schema, TimeUnit};
 use datafusion::logical_expr::ColumnarValue;
-use datafusion::physical_expr_common::physical_expr::down_cast_any_ref;
 use datafusion_common::{internal_err, ScalarValue};
 use datafusion_physical_expr::PhysicalExpr;
 use jni::{
@@ -32,11 +31,11 @@ use jni::{
 use std::{
     any::Any,
     fmt::{Display, Formatter},
-    hash::{Hash, Hasher},
+    hash::Hash,
     sync::Arc,
 };
 
-#[derive(Debug, Hash)]
+#[derive(Debug, Hash, PartialEq, Eq)]
 pub struct Subquery {
     /// The ID of the execution context that owns this subquery. We use this ID to retrieve the
     /// subquery result.
@@ -63,19 +62,6 @@ impl Display for Subquery {
     }
 }
 
-impl PartialEq<dyn Any> for Subquery {
-    fn eq(&self, other: &dyn Any) -> bool {
-        down_cast_any_ref(other)
-            .downcast_ref::<Self>()
-            .map(|x| {
-                self.id.eq(&x.id)
-                    && self.data_type.eq(&x.data_type)
-                    && self.exec_context_id.eq(&x.exec_context_id)
-            })
-            .unwrap_or(false)
-    }
-}
-
 impl PhysicalExpr for Subquery {
     fn as_any(&self) -> &dyn Any {
         self
@@ -209,9 +195,4 @@ impl PhysicalExpr for Subquery {
     ) -> datafusion_common::Result<Arc<dyn PhysicalExpr>> {
         Ok(self)
     }
-
-    fn dyn_hash(&self, state: &mut dyn Hasher) {
-        let mut s = state;
-        self.hash(&mut s)
-    }
 }

native/core/src/execution/jni_api.rs

@@ -20,10 +20,7 @@
 use arrow::datatypes::DataType as ArrowDataType;
 use arrow_array::RecordBatch;
 use datafusion::{
-    execution::{
-        disk_manager::DiskManagerConfig,
-        runtime_env::{RuntimeConfig, RuntimeEnv},
-    },
+    execution::{disk_manager::DiskManagerConfig, runtime_env::RuntimeEnv},
     physical_plan::{display::DisplayableExecutionPlan, SendableRecordBatchStream},
     prelude::{SessionConfig, SessionContext},
 };
@@ -52,6 +49,7 @@ use crate::{
 };
 use datafusion_comet_proto::spark_operator::Operator;
 use datafusion_common::ScalarValue;
+use datafusion_execution::runtime_env::RuntimeEnvBuilder;
 use futures::stream::StreamExt;
 use jni::{
     objects::GlobalRef,
@@ -188,7 +186,7 @@ fn prepare_datafusion_session_context(
     memory_fraction: f64,
     comet_task_memory_manager: Arc<GlobalRef>,
 ) -> CometResult<SessionContext> {
-    let mut rt_config = RuntimeConfig::new().with_disk_manager(DiskManagerConfig::NewOs);
+    let mut rt_config = RuntimeEnvBuilder::new().with_disk_manager(DiskManagerConfig::NewOs);
 
     // Check if we are using unified memory manager integrated with Spark.
     if use_unified_memory_manager {
@@ -216,6 +214,7 @@ fn prepare_datafusion_session_context(
             &ScalarValue::Float64(Some(1.1)),
         );
 
+    #[allow(deprecated)]
     let runtime = RuntimeEnv::try_new(rt_config)?;
 
     let mut session_ctx = SessionContext::new_with_config_rt(session_config, Arc::new(runtime));

native/core/src/execution/operators/copy.rs

@@ -30,6 +30,7 @@ use arrow_array::{
 use arrow_data::transform::MutableArrayData;
 use arrow_schema::{ArrowError, DataType, Field, FieldRef, Schema, SchemaRef};
 
+use datafusion::physical_plan::execution_plan::{Boundedness, EmissionType};
 use datafusion::physical_plan::metrics::{BaselineMetrics, ExecutionPlanMetricsSet, MetricsSet};
 use datafusion::{execution::TaskContext, physical_expr::*, physical_plan::*};
 use datafusion_common::{arrow_datafusion_err, DataFusionError, Result as DataFusionResult};
@@ -78,7 +79,8 @@ impl CopyExec {
         let cache = PlanProperties::new(
             EquivalenceProperties::new(Arc::clone(&schema)),
             Partitioning::UnknownPartitioning(1),
-            ExecutionMode::Bounded,
+            EmissionType::Final,
+            Boundedness::Bounded,
         );
 
         Self {

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

@@ -17,10 +17,11 @@
 
 use arrow_array::{RecordBatch, RecordBatchOptions};
 use arrow_schema::SchemaRef;
+use datafusion::physical_plan::execution_plan::{Boundedness, EmissionType};
 use datafusion::{
     execution::TaskContext,
     physical_plan::{
-        DisplayAs, DisplayFormatType, ExecutionMode, ExecutionPlan, Partitioning, PlanProperties,
+        DisplayAs, DisplayFormatType, ExecutionPlan, Partitioning, PlanProperties,
         RecordBatchStream, SendableRecordBatchStream,
     },
 };
@@ -54,7 +55,8 @@ impl ExpandExec {
         let cache = PlanProperties::new(
             EquivalenceProperties::new(Arc::clone(&schema)),
             Partitioning::UnknownPartitioning(1),
-            ExecutionMode::Bounded,
+            EmissionType::Final,
+            Boundedness::Bounded,
         );
 
         Self {

native/core/src/execution/operators/filter.rs

@@ -210,7 +210,8 @@ impl FilterExec {
         Ok(PlanProperties::new(
             eq_properties,
             input.output_partitioning().clone(), // Output Partitioning
-            input.execution_mode(),              // Execution Mode
+            input.pipeline_behavior(),
+            input.boundedness(),
         ))
     }
 }

native/core/src/execution/operators/scan.rs

@@ -28,6 +28,7 @@ use arrow_data::ffi::FFI_ArrowArray;
 use arrow_data::ArrayData;
 use arrow_schema::ffi::FFI_ArrowSchema;
 use arrow_schema::{DataType, Field, Schema, SchemaRef};
+use datafusion::physical_plan::execution_plan::{Boundedness, EmissionType};
 use datafusion::physical_plan::metrics::{
     BaselineMetrics, ExecutionPlanMetricsSet, MetricBuilder, MetricsSet, Time,
 };
@@ -122,7 +123,8 @@ impl ScanExec {
             // The partitioning is not important because we are not using DataFusion's
             // query planner or optimizer
             Partitioning::UnknownPartitioning(1),
-            ExecutionMode::Bounded,
+            EmissionType::Final,
+            Boundedness::Bounded,
         );
 
         Ok(Self {