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[IcebergIO] Let hash distribution mode spill over if file gets too large #38930

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[IcebergIO] Let hash distribution mode spill over if file gets too large #38930

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214a110
use recordwritermanager to spill over when file size gets too large
ahmedabu98 Jun 11, 2026
f627cb1
cleanup unused code
ahmedabu98 Jun 11, 2026
5f49c88
address comments
ahmedabu98 Jun 11, 2026
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49 changes: 33 additions & 16 deletions .../io/iceberg/src/main/java/org/apache/beam/sdk/io/iceberg/WritePartitionedRowsToFiles.java
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Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,7 @@
import static org.apache.beam.sdk.io.iceberg.RecordWriterManager.getPartitionDataPath;
import static org.apache.beam.sdk.util.Preconditions.checkStateNotNull;

import java.util.List;
import java.util.Map;
import java.util.UUID;
import org.apache.beam.sdk.coders.IterableCoder;
Expand All @@ -31,23 +32,28 @@
import org.apache.beam.sdk.transforms.DoFn;
import org.apache.beam.sdk.transforms.PTransform;
import org.apache.beam.sdk.transforms.ParDo;
import org.apache.beam.sdk.transforms.windowing.BoundedWindow;
import org.apache.beam.sdk.transforms.windowing.PaneInfo;
import org.apache.beam.sdk.values.KV;
import org.apache.beam.sdk.values.PCollection;
import org.apache.beam.sdk.values.Row;
import org.apache.beam.sdk.values.WindowedValue;
import org.apache.beam.sdk.values.WindowedValues;
import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.Maps;
import org.apache.iceberg.DataFiles;
import org.apache.iceberg.PartitionField;
import org.apache.iceberg.PartitionKey;
import org.apache.iceberg.PartitionSpec;
import org.apache.iceberg.StructLike;
import org.apache.iceberg.Table;
import org.apache.iceberg.TableProperties;
import org.apache.iceberg.catalog.Catalog;
import org.apache.iceberg.catalog.Namespace;
import org.apache.iceberg.catalog.SupportsNamespaces;
import org.apache.iceberg.catalog.TableIdentifier;
import org.apache.iceberg.data.Record;
import org.apache.iceberg.exceptions.AlreadyExistsException;
import org.apache.iceberg.exceptions.NoSuchTableException;
import org.apache.iceberg.util.PropertyUtil;
import org.checkerframework.checker.nullness.qual.MonotonicNonNull;
import org.checkerframework.checker.nullness.qual.Nullable;
import org.slf4j.Logger;
Expand Down Expand Up @@ -110,7 +116,10 @@ public void setup() {

@ProcessElement
public void processElement(
@Element KV<Row, Iterable<Row>> element, OutputReceiver<FileWriteResult> out)
@Element KV<Row, Iterable<Row>> element,
BoundedWindow window,
PaneInfo paneInfo,
OutputReceiver<FileWriteResult> out)
throws Exception {
String tableIdentifier = checkStateNotNull(element.getKey().getString(DESTINATION));
String partitionPath = checkStateNotNull(element.getKey().getString(PARTITION));
Expand All @@ -130,24 +139,32 @@ public void processElement(
destination
.getFileFormat()
.addExtension(String.format("%s-%s", filePrefix, UUID.randomUUID()));

RecordWriter writer =
new RecordWriter(table, destination.getFileFormat(), fileName, partitionData);
try {
System.out.println(partitionData + fileName);
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long maxFileSize =
PropertyUtil.propertyAsLong(
table.properties(),
TableProperties.WRITE_TARGET_FILE_SIZE_BYTES,
TableProperties.WRITE_TARGET_FILE_SIZE_BYTES_DEFAULT);
WindowedValue<IcebergDestination> windowedDestination =
WindowedValues.of(destination, window.maxTimestamp(), window, paneInfo);
RecordWriterManager writer =
new RecordWriterManager(catalogConfig, filePrefix, maxFileSize, Integer.MAX_VALUE);
try (writer) {
for (Row row : element.getValue()) {
Record record = IcebergUtils.beamRowToIcebergRecord(table.schema(), row);
writer.write(record);
writer.write(windowedDestination, row);
}
} finally {
writer.close();
}
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SerializableDataFile sdf = SerializableDataFile.from(writer.getDataFile(), partitionPath);
out.output(
FileWriteResult.builder()
.setTableIdentifier(destination.getTableIdentifier())
.setSerializableDataFile(sdf)
.build());
List<SerializableDataFile> serializableDataFiles =
checkStateNotNull(writer.getSerializableDataFiles().get(windowedDestination));
for (SerializableDataFile dataFile : serializableDataFiles) {
out.output(
FileWriteResult.builder()
.setTableIdentifier(destination.getTableIdentifier())
.setSerializableDataFile(dataFile)
.build());
}
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}

private Map<String, PartitionField> getPartitionFieldMap(
Expand Down
52 changes: 52 additions & 0 deletions ...src/test/java/org/apache/beam/sdk/io/iceberg/IcebergWriteSchemaTransformProviderTest.java
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Original file line number Diff line number Diff line change
Expand Up @@ -58,9 +58,11 @@
import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.ImmutableList;
import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.ImmutableMap;
import org.apache.iceberg.CatalogUtil;
import org.apache.iceberg.DataFile;
import org.apache.iceberg.DistributionMode;
import org.apache.iceberg.PartitionSpec;
import org.apache.iceberg.Table;
import org.apache.iceberg.TableProperties;
import org.apache.iceberg.catalog.TableIdentifier;
import org.apache.iceberg.data.IcebergGenerics;
import org.apache.iceberg.data.Record;
Expand Down Expand Up @@ -491,6 +493,56 @@ public void writePartitionedData(boolean autosharding) {
p.run();
}

@Test
public void testWritingPartitionedDataRespectsFileSizePropertyWithSpillOver() {
Schema schema = Schema.builder().addStringField("str").addInt32Field("int").build();
org.apache.iceberg.Schema icebergSchema = IcebergUtils.beamSchemaToIcebergSchema(schema);
PartitionSpec spec = PartitionSpec.builderFor(icebergSchema).identity("str").build();
String identifier = "default.table_" + Long.toString(UUID.randomUUID().hashCode(), 16);

Table table =
warehouse.createTable(
TableIdentifier.parse(identifier),
icebergSchema,
spec,
ImmutableMap.of(TableProperties.WRITE_TARGET_FILE_SIZE_BYTES, "1"));
Map<String, Object> config =
ImmutableMap.of(
"table",
identifier,
"catalog_properties",
ImmutableMap.of("type", "hadoop", "warehouse", warehouse.location),
"distribution_mode",
distributionMode.name());

List<Row> rows =
Arrays.asList(
Row.withSchema(schema).addValues("a", 1).build(),
Row.withSchema(schema).addValues("a", 2).build(),
Row.withSchema(schema).addValues("a", 3).build(),
Row.withSchema(schema).addValues("b", 1).build(),
Row.withSchema(schema).addValues("b", 2).build(),
Row.withSchema(schema).addValues("b", 3).build());

testPipeline
.apply("Records To Add", Create.of(rows))
.setRowSchema(schema)
.apply(Managed.write(Managed.ICEBERG).withConfig(config));
testPipeline.run().waitUntilFinish();

Pipeline p = Pipeline.create(TestPipeline.testingPipelineOptions());
PCollection<Row> readRows =
p.apply(Managed.read(Managed.ICEBERG).withConfig(config)).getSinglePCollection();
PAssert.that(readRows).containsInAnyOrder(rows);

table.refresh();
List<DataFile> datafiles = new ArrayList<>();
table.snapshots().forEach(s -> s.addedDataFiles(table.io()).forEach(datafiles::add));
assertEquals(6, datafiles.size());

p.run();
}

@Test
public void testWriteCreateTableWithPartitionSpec() {
String identifier = "default.table_" + Long.toString(UUID.randomUUID().hashCode(), 16);
Expand Down
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