fvaleye commented on code in PR #1620:
URL: https://github.com/apache/iceberg-rust/pull/1620#discussion_r2306836325


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crates/integrations/datafusion/src/physical_plan/repartition.rs:
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@@ -0,0 +1,906 @@
+// 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 std::any::Any;
+use std::sync::Arc;
+
+use datafusion::error::Result as DFResult;
+use datafusion::execution::{SendableRecordBatchStream, TaskContext};
+use datafusion::physical_expr::{EquivalenceProperties, PhysicalExpr};
+use datafusion::physical_plan::execution_plan::{Boundedness, EmissionType};
+use datafusion::physical_plan::expressions::Column;
+use datafusion::physical_plan::repartition::RepartitionExec;
+use datafusion::physical_plan::{
+    DisplayAs, DisplayFormatType, ExecutionPlan, Partitioning, PlanProperties,
+};
+use iceberg::spec::{SchemaRef, TableMetadata, TableMetadataRef, Transform};
+
+/// Iceberg-specific repartition execution plan that optimizes data 
distribution
+/// for parallel processing while respecting Iceberg table partitioning 
semantics.
+///
+/// This execution plan automatically determines the optimal partitioning 
strategy based on
+/// the table's partition specification and the configured write distribution 
mode:
+///
+/// ## Partitioning Strategies
+///
+/// - **Unpartitioned tables**: Uses round-robin distribution to ensure 
balanced load
+///   across all workers, maximizing parallelism for write operations.
+///
+/// - **Partitioned tables**: Uses hash partitioning on partition columns 
(identity transforms)
+///   and bucket columns to maintain data co-location. This ensures:
+///   - Better file clustering within partitions
+///   - Improved query pruning performance
+///   - Optimal join performance on partitioned columns
+///
+/// - **Range-distributed tables**: Approximates range distribution by hashing 
on sort order
+///   columns since DataFusion lacks native range exchange. Falls back to 
partition/bucket
+///   column hashing when available.
+///
+/// ## Write Distribution Modes
+///
+/// Respects the table's `write.distribution-mode` property:
+/// - `hash` (default): Distributes by partition and bucket columns
+/// - `range`: Distributes by sort order columns
+/// - `none`: Uses round-robin distribution
+///
+/// ## Performance notes
+///
+/// - Only repartitions when the input partitioning scheme differs from the 
desired strategy
+/// - Only repartitions when the input partition count differs from the target
+/// - Automatically detects optimal partition count from DataFusion's 
SessionConfig
+/// - Preserves column order (partitions first, then buckets) for consistent 
file layout
+#[derive(Debug)]
+pub struct IcebergRepartitionExec {

Review Comment:
   All right, let's follow the KISS principle.
   That makes perfect sense. I'll rework that!



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