fix: gc string view arrays in RepartitionExec

datafusion/physical-plan/src/common.rs

@@ -25,8 +25,9 @@ use super::SendableRecordBatchStream;
 use crate::stream::RecordBatchReceiverStream;
 use crate::{ColumnStatistics, Statistics};
 
-use arrow::array::Array;
+use arrow::array::{Array, StringViewArray};
 use arrow::datatypes::Schema;
+use arrow::error::ArrowError;
 use arrow::record_batch::RecordBatch;
 use datafusion_common::stats::Precision;
 use datafusion_common::{Result, plan_err};
@@ -190,7 +191,7 @@ pub fn can_project(
                 .max()
                 .is_some_and(|&i| i >= schema.fields().len())
             {
-                Err(arrow::error::ArrowError::SchemaError(format!(
+                Err(ArrowError::SchemaError(format!(
                     "project index {} out of bounds, max field {}",
                     columns.iter().max().unwrap(),
                     schema.fields().len()
@@ -204,6 +205,31 @@ pub fn can_project(
     }
 }
 
+/// Return a new `RecordBatch` with [`StringViewArray::gc`] called on such columns (if any).
+pub(crate) fn gc_stringview_arrays(
+    batch: RecordBatch,
+) -> Result<RecordBatch, ArrowError> {
+    let mut new_columns: Vec<Arc<dyn Array>> = Vec::with_capacity(batch.num_columns());
+
+    let mut arr_mutated = false;
+    for array in batch.columns() {
+        if let Some(string_view_array) = array.as_any().downcast_ref::<StringViewArray>()
+        {
+            let new_array = string_view_array.gc();
+            new_columns.push(Arc::new(new_array));
+            arr_mutated = true;
+        } else {
+            new_columns.push(Arc::clone(array));
+        }
+    }
+
+    if arr_mutated {
+        RecordBatch::try_new(batch.schema(), new_columns)
+    } else {
+        Ok(batch)
+    }
+}
+
 #[cfg(test)]
 mod tests {
     use super::*;

datafusion/physical-plan/src/repartition/mod.rs

@@ -31,6 +31,7 @@ use super::{
     DisplayAs, ExecutionPlanProperties, RecordBatchStream, SendableRecordBatchStream,
 };
 use crate::coalesce::LimitedBatchCoalescer;
+use crate::common::gc_stringview_arrays;
 use crate::execution_plan::{CardinalityEffect, EvaluationType, SchedulingType};
 use crate::hash_utils::create_hashes;
 use crate::metrics::{BaselineMetrics, SpillMetrics};
@@ -44,7 +45,7 @@ use crate::{
     check_if_same_properties,
 };
 
-use arrow::array::{PrimitiveArray, RecordBatch, RecordBatchOptions};
+use arrow::array::{PrimitiveArray, RecordBatch, RecordBatchOptions, StringViewArray};
 use arrow::compute::take_arrays;
 use arrow::datatypes::{SchemaRef, UInt32Type};
 use datafusion_common::config::ConfigOptions;
@@ -617,8 +618,14 @@ impl BatchPartitioner {
                                 batch.schema(),
                                 columns,
                                 &options,
-                            )
-                            .unwrap();
+                            )?;
+
+                            // When `StringViewArray`s are present, the `take_arrays` call above
+                            // re-uses data buffers from the original array. This causes the memory
+                            // pool to count the same data buffers multiple times, once for each
+                            // consumer of the repartition.
+                            // So we gc the output arrays, which creates new data buffers.
+                            let batch = gc_stringview_arrays(batch)?;
 
                             partitioned_batches.push(Ok((partition, batch)));
 
@@ -1770,7 +1777,7 @@ mod tests {
         {collect, expressions::col},
     };
 
-    use arrow::array::{ArrayRef, StringArray, UInt32Array};
+    use arrow::array::{ArrayRef, StringArray, StringViewArray, UInt32Array};
     use arrow::datatypes::{DataType, Field, Schema};
     use datafusion_common::cast::as_string_array;
     use datafusion_common::exec_err;
@@ -2544,6 +2551,33 @@ mod tests {
             .collect()
     }
 
+    fn test_schema_string_view() -> Arc<Schema> {
+        Arc::new(Schema::new(vec![
+            Field::new("key", DataType::UInt32, false),
+            Field::new("val", DataType::Utf8View, false),
+        ]))
+    }
+
+    /// Create a batch with StringViewArray data for compaction tests.
+    /// Strings are >12 bytes to force out-of-line storage in the buffer
+    /// (strings <=12 bytes are inlined in the view and don't reference the buffer).
+    fn create_string_view_batch(num_rows: usize, num_partitions: usize) -> RecordBatch {
+        let schema = test_schema_string_view();
+        let keys: Vec<u32> = (0..num_rows).map(|i| (i % num_partitions) as u32).collect();
+        let vals: Vec<String> = (0..num_rows)
+            .map(|i| format!("string_value_{i:0>20}"))
+            .collect();
+        let val_refs: Vec<&str> = vals.iter().map(|s| s.as_str()).collect();
+        RecordBatch::try_new(
+            schema,
+            vec![
+                Arc::new(UInt32Array::from(keys)) as ArrayRef,
+                Arc::new(StringViewArray::from(val_refs)) as ArrayRef,
+            ],
+        )
+        .unwrap()
+    }
+
     #[tokio::test]
     async fn test_repartition_ordering_with_spilling() -> Result<()> {
         // Test that repartition preserves ordering when spilling occurs
@@ -2617,6 +2651,31 @@ mod tests {
 
         Ok(())
     }
+
+    #[tokio::test]
+    async fn hash_repartition_string_view_compaction() -> Result<()> {
+        let schema = test_schema_string_view();
+        let num_partitions = 8;
+        let batch = create_string_view_batch(800, num_partitions);
+        let partitions = vec![vec![batch]];
+
+        let output_partitions = repartition(
+            &schema,
+            partitions,
+            Partitioning::Hash(vec![col("key", &schema)?], num_partitions),
+        )
+        .await?;
+
+        assert_eq!(num_partitions, output_partitions.len());
+
+        let total_rows: usize = output_partitions
+            .iter()
+            .map(|x| x.iter().map(|x| x.num_rows()).sum::<usize>())
+            .sum();
+        assert_eq!(total_rows, 800);
+
+        Ok(())
+    }
 }
 
 #[cfg(test)]

datafusion/physical-plan/src/sorts/sort.rs

@@ -26,7 +26,7 @@ use std::sync::Arc;
 
 use parking_lot::RwLock;
 
-use crate::common::spawn_buffered;
+use crate::common::{gc_stringview_arrays, spawn_buffered};
 use crate::execution_plan::{
     Boundedness, CardinalityEffect, EmissionType, has_same_children_properties,
 };
@@ -483,33 +483,10 @@ impl ExternalSorter {
     fn organize_stringview_arrays(
         globally_sorted_batches: &mut Vec<RecordBatch>,
     ) -> Result<()> {
-        let mut organized_batches = Vec::with_capacity(globally_sorted_batches.len());
-
-        for batch in globally_sorted_batches.drain(..) {
-            let mut new_columns: Vec<Arc<dyn Array>> =
-                Vec::with_capacity(batch.num_columns());
-
-            let mut arr_mutated = false;
-            for array in batch.columns() {
-                if let Some(string_view_array) =
-                    array.as_any().downcast_ref::<StringViewArray>()
-                {
-                    let new_array = string_view_array.gc();
-                    new_columns.push(Arc::new(new_array));
-                    arr_mutated = true;
-                } else {
-                    new_columns.push(Arc::clone(array));
-                }
-            }
-
-            let organized_batch = if arr_mutated {
-                RecordBatch::try_new(batch.schema(), new_columns)?
-            } else {
-                batch
-            };
-
-            organized_batches.push(organized_batch);
-        }
+        let organized_batches = globally_sorted_batches
+            .drain(..)
+            .map(gc_stringview_arrays)
+            .collect::<Result<_, _>>()?;
 
         *globally_sorted_batches = organized_batches;