feat: [iceberg] CometExecRDD supports per-partition plan data, Iceberg native scan with DPP

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

@@ -44,6 +44,7 @@ use crate::parquet::parquet_support::SparkParquetOptions;
 use crate::parquet::schema_adapter::SparkSchemaAdapterFactory;
 use datafusion::datasource::schema_adapter::{SchemaAdapterFactory, SchemaMapper};
 use datafusion_comet_spark_expr::EvalMode;
+use iceberg::scan::FileScanTask;
 
 /// Iceberg table scan operator that uses iceberg-rust to read Iceberg tables.
 ///
@@ -58,8 +59,8 @@ pub struct IcebergScanExec {
     plan_properties: PlanProperties,
     /// Catalog-specific configuration for FileIO
     catalog_properties: HashMap<String, String>,
-    /// Pre-planned file scan tasks, grouped by partition
-    file_task_groups: Vec<Vec<iceberg::scan::FileScanTask>>,
+    /// Pre-planned file scan tasks
+    tasks: Vec<FileScanTask>,
     /// Metrics
     metrics: ExecutionPlanMetricsSet,
 }
@@ -69,11 +70,10 @@ impl IcebergScanExec {
         metadata_location: String,
         schema: SchemaRef,
         catalog_properties: HashMap<String, String>,
-        file_task_groups: Vec<Vec<iceberg::scan::FileScanTask>>,
+        tasks: Vec<FileScanTask>,
     ) -> Result<Self, ExecutionError> {
         let output_schema = schema;
-        let num_partitions = file_task_groups.len();
-        let plan_properties = Self::compute_properties(Arc::clone(&output_schema), num_partitions);
+        let plan_properties = Self::compute_properties(Arc::clone(&output_schema), 1);
 
         let metrics = ExecutionPlanMetricsSet::new();
 
@@ -82,7 +82,7 @@ impl IcebergScanExec {
             output_schema,
             plan_properties,
             catalog_properties,
-            file_task_groups,
+            tasks,
             metrics,
         })
     }
@@ -127,19 +127,10 @@ impl ExecutionPlan for IcebergScanExec {
 
     fn execute(
         &self,
-        partition: usize,
+        _partition: usize,
         context: Arc<TaskContext>,
     ) -> DFResult<SendableRecordBatchStream> {
-        if partition < self.file_task_groups.len() {
-            let tasks = &self.file_task_groups[partition];
-            self.execute_with_tasks(tasks.clone(), partition, context)
-        } else {
-            Err(DataFusionError::Execution(format!(
-                "IcebergScanExec: Partition index {} out of range (only {} task groups available)",
-                partition,
-                self.file_task_groups.len()
-            )))
-        }
+        self.execute_with_tasks(self.tasks.clone(), context)
     }
 
     fn metrics(&self) -> Option<MetricsSet> {
@@ -152,15 +143,14 @@ impl IcebergScanExec {
     /// deletes via iceberg-rust's ArrowReader.
     fn execute_with_tasks(
         &self,
-        tasks: Vec<iceberg::scan::FileScanTask>,
-        partition: usize,
+        tasks: Vec<FileScanTask>,
         context: Arc<TaskContext>,
     ) -> DFResult<SendableRecordBatchStream> {
         let output_schema = Arc::clone(&self.output_schema);
         let file_io = Self::load_file_io(&self.catalog_properties, &self.metadata_location)?;
         let batch_size = context.session_config().batch_size();
 
-        let metrics = IcebergScanMetrics::new(&self.metrics, partition);
+        let metrics = IcebergScanMetrics::new(&self.metrics);
         let num_tasks = tasks.len();
         metrics.num_splits.add(num_tasks);
 
@@ -221,10 +211,10 @@ struct IcebergScanMetrics {
 }
 
 impl IcebergScanMetrics {
-    fn new(metrics: &ExecutionPlanMetricsSet, partition: usize) -> Self {
+    fn new(metrics: &ExecutionPlanMetricsSet) -> Self {
         Self {
-            baseline: BaselineMetrics::new(metrics, partition),
-            num_splits: MetricBuilder::new(metrics).counter("num_splits", partition),
+            baseline: BaselineMetrics::new(metrics, 0),
+            num_splits: MetricBuilder::new(metrics).counter("num_splits", 0),
         }
     }
 }
@@ -311,11 +301,11 @@ where
 
 impl DisplayAs for IcebergScanExec {
     fn fmt_as(&self, _t: DisplayFormatType, f: &mut fmt::Formatter) -> fmt::Result {
-        let num_tasks: usize = self.file_task_groups.iter().map(|g| g.len()).sum();
         write!(
             f,
             "IcebergScanExec: metadata_location={}, num_tasks={}",
-            self.metadata_location, num_tasks
+            self.metadata_location,
+            self.tasks.len()
         )
     }
 }

native/core/src/execution/planner.rs

@@ -1132,33 +1132,28 @@ impl PhysicalPlanner {
                 ))
             }
             OpStruct::IcebergScan(scan) => {
-                let required_schema: SchemaRef =
-                    convert_spark_types_to_arrow_schema(scan.required_schema.as_slice());
+                // Extract common data and single partition's file tasks
+                // Per-partition injection happens in Scala before sending to native
+                let common = scan
+                    .common
+                    .as_ref()
+                    .ok_or_else(|| GeneralError("IcebergScan missing common data".into()))?;
 
-                let catalog_properties: HashMap<String, String> = scan
+                let required_schema =
+                    convert_spark_types_to_arrow_schema(common.required_schema.as_slice());
+                let catalog_properties: HashMap<String, String> = common
                     .catalog_properties
                     .iter()
                     .map(|(k, v)| (k.clone(), v.clone()))
                     .collect();
-
-                let metadata_location = scan.metadata_location.clone();
-
-                debug_assert!(
-                    !scan.file_partitions.is_empty(),
-                    "IcebergScan must have at least one file partition. This indicates a bug in Scala serialization."
-                );
-
-                let tasks = parse_file_scan_tasks(
-                    scan,
-                    &scan.file_partitions[self.partition as usize].file_scan_tasks,
-                )?;
-                let file_task_groups = vec![tasks];
+                let metadata_location = common.metadata_location.clone();
+                let tasks = parse_file_scan_tasks_from_common(common, &scan.file_scan_tasks)?;
 
                 let iceberg_scan = IcebergScanExec::new(
                     metadata_location,
                     required_schema,
                     catalog_properties,
-                    file_task_groups,
+                    tasks,
                 )?;
 
                 Ok((
@@ -2743,15 +2738,14 @@ fn partition_data_to_struct(
 /// Each task contains a residual predicate that is used for row-group level filtering
 /// during Parquet scanning.
 ///
-/// This function uses deduplication pools from the IcebergScan to avoid redundant parsing
-/// of schemas, partition specs, partition types, name mappings, and other repeated data.
-fn parse_file_scan_tasks(
-    proto_scan: &spark_operator::IcebergScan,
+/// This function uses deduplication pools from the IcebergScanCommon to avoid redundant
+/// parsing of schemas, partition specs, partition types, name mappings, and other repeated data.
+fn parse_file_scan_tasks_from_common(
+    proto_common: &spark_operator::IcebergScanCommon,
     proto_tasks: &[spark_operator::IcebergFileScanTask],
 ) -> Result<Vec<iceberg::scan::FileScanTask>, ExecutionError> {
-    // Build caches upfront: for 10K tasks with 1 schema, this parses the schema
-    // once instead of 10K times, eliminating redundant JSON deserialization
-    let schema_cache: Vec<Arc<iceberg::spec::Schema>> = proto_scan
+    // Parse each unique schema once, not once per task
+    let schema_cache: Vec<Arc<iceberg::spec::Schema>> = proto_common
         .schema_pool
         .iter()
         .map(|json| {
@@ -2764,7 +2758,7 @@ fn parse_file_scan_tasks(
         })
         .collect::<Result<Vec<_>, _>>()?;
 
-    let partition_spec_cache: Vec<Option<Arc<iceberg::spec::PartitionSpec>>> = proto_scan
+    let partition_spec_cache: Vec<Option<Arc<iceberg::spec::PartitionSpec>>> = proto_common
         .partition_spec_pool
         .iter()
         .map(|json| {
@@ -2774,7 +2768,7 @@ fn parse_file_scan_tasks(
         })
         .collect();
 
-    let name_mapping_cache: Vec<Option<Arc<iceberg::spec::NameMapping>>> = proto_scan
+    let name_mapping_cache: Vec<Option<Arc<iceberg::spec::NameMapping>>> = proto_common
         .name_mapping_pool
         .iter()
         .map(|json| {
@@ -2784,7 +2778,7 @@ fn parse_file_scan_tasks(
         })
         .collect();
 
-    let delete_files_cache: Vec<Vec<iceberg::scan::FileScanTaskDeleteFile>> = proto_scan
+    let delete_files_cache: Vec<Vec<iceberg::scan::FileScanTaskDeleteFile>> = proto_common
         .delete_files_pool
         .iter()
         .map(|list| {
@@ -2796,7 +2790,7 @@ fn parse_file_scan_tasks(
                         "EQUALITY_DELETES" => iceberg::spec::DataContentType::EqualityDeletes,
                         other => {
                             return Err(GeneralError(format!(
-                                "Invalid delete content type '{}'. This indicates a bug in Scala serialization.",
+                                "Invalid delete content type '{}'",
                                 other
                             )))
                         }
@@ -2817,7 +2811,6 @@ fn parse_file_scan_tasks(
         })
         .collect::<Result<Vec<_>, _>>()?;
 
-    // Partition data pool is in protobuf messages
     let results: Result<Vec<_>, _> = proto_tasks
         .iter()
         .map(|proto_task| {
@@ -2851,7 +2844,7 @@ fn parse_file_scan_tasks(
             };
 
             let bound_predicate = if let Some(idx) = proto_task.residual_idx {
-                proto_scan
+                proto_common
                     .residual_pool
                     .get(idx as usize)
                     .and_then(convert_spark_expr_to_predicate)
@@ -2871,24 +2864,22 @@ fn parse_file_scan_tasks(
             };
 
             let partition = if let Some(partition_data_idx) = proto_task.partition_data_idx {
-                // Get partition data from protobuf pool
-                let partition_data_proto = proto_scan
+                let partition_data_proto = proto_common
                     .partition_data_pool
                     .get(partition_data_idx as usize)
                     .ok_or_else(|| {
                         ExecutionError::GeneralError(format!(
                             "Invalid partition_data_idx: {} (pool size: {})",
                             partition_data_idx,
-                            proto_scan.partition_data_pool.len()
+                            proto_common.partition_data_pool.len()
                         ))
                     })?;
 
-                // Convert protobuf PartitionData to iceberg Struct
                 match partition_data_to_struct(partition_data_proto) {
                     Ok(s) => Some(s),
                     Err(e) => {
                         return Err(ExecutionError::GeneralError(format!(
-                            "Failed to deserialize partition data from protobuf: {}",
+                            "Failed to deserialize partition data: {}",
                             e
                         )))
                     }
@@ -2907,14 +2898,14 @@ fn parse_file_scan_tasks(
                 .and_then(|idx| name_mapping_cache.get(idx as usize))
                 .and_then(|opt| opt.clone());
 
-            let project_field_ids = proto_scan
+            let project_field_ids = proto_common
                 .project_field_ids_pool
                 .get(proto_task.project_field_ids_idx as usize)
                 .ok_or_else(|| {
                     ExecutionError::GeneralError(format!(
                         "Invalid project_field_ids_idx: {} (pool size: {})",
                         proto_task.project_field_ids_idx,
-                        proto_scan.project_field_ids_pool.len()
+                        proto_common.project_field_ids_pool.len()
                     ))
                 })?
                 .field_ids

native/proto/src/lib.rs

@@ -34,6 +34,7 @@ pub mod spark_partitioning {
 
 // Include generated modules from .proto files.
 #[allow(missing_docs)]
+#[allow(clippy::large_enum_variant)]
 pub mod spark_operator {
     include!(concat!("generated", "/spark.spark_operator.rs"));
 }

native/proto/src/proto/operator.proto

@@ -156,28 +156,34 @@ message PartitionData {
   repeated PartitionValue values = 1;
 }
 
-message IcebergScan {
-  // Schema to read
-  repeated SparkStructField required_schema = 1;
-
+// Common data shared by all partitions in split mode (sent once, captured in closure)
+message IcebergScanCommon {
   // Catalog-specific configuration for FileIO (credentials, S3/GCS config, etc.)
-  map<string, string> catalog_properties = 2;
-
-  // Pre-planned file scan tasks grouped by Spark partition
-  repeated IcebergFilePartition file_partitions = 3;
+  map<string, string> catalog_properties = 1;
 
   // Table metadata file path for FileIO initialization
-  string metadata_location = 4;
+  string metadata_location = 2;
+
+  // Schema to read
+  repeated SparkStructField required_schema = 3;
 
-  // Deduplication pools - shared data referenced by index from tasks
-  repeated string schema_pool = 5;
-  repeated string partition_type_pool = 6;
-  repeated string partition_spec_pool = 7;
-  repeated string name_mapping_pool = 8;
-  repeated ProjectFieldIdList project_field_ids_pool = 9;
-  repeated PartitionData partition_data_pool = 10;
-  repeated DeleteFileList delete_files_pool = 11;
-  repeated spark.spark_expression.Expr residual_pool = 12;
+  // Deduplication pools (must contain all entries for cross-partition deduplication)
+  repeated string schema_pool = 4;
+  repeated string partition_type_pool = 5;
+  repeated string partition_spec_pool = 6;
+  repeated string name_mapping_pool = 7;
+  repeated ProjectFieldIdList project_field_ids_pool = 8;
+  repeated PartitionData partition_data_pool = 9;
+  repeated DeleteFileList delete_files_pool = 10;
+  repeated spark.spark_expression.Expr residual_pool = 11;
+}
+
+message IcebergScan {
+  // Common data shared across partitions (pools, metadata, catalog props)
+  IcebergScanCommon common = 1;
+
+  // Single partition's file scan tasks
+  repeated IcebergFileScanTask file_scan_tasks = 2;
 }
 
 // Helper message for deduplicating field ID lists
@@ -190,11 +196,6 @@ message DeleteFileList {
   repeated IcebergDeleteFile delete_files = 1;
 }
 
-// Groups FileScanTasks for a single Spark partition
-message IcebergFilePartition {
-  repeated IcebergFileScanTask file_scan_tasks = 1;
-}
-
 // Iceberg FileScanTask containing data file, delete files, and residual filter
 message IcebergFileScanTask {
   // Data file path (e.g., s3://bucket/warehouse/db/table/data/00000-0-abc.parquet)

spark/src/main/scala/org/apache/comet/iceberg/IcebergReflection.scala

@@ -734,7 +734,7 @@ case class CometIcebergNativeScanMetadata(
     table: Any,
     metadataLocation: String,
     nameMapping: Option[String],
-    tasks: java.util.List[_],
+    @transient tasks: java.util.List[_],
     scanSchema: Any,
     tableSchema: Any,
     globalFieldIdMapping: Map[String, Int],