rdblue commented on a change in pull request #3171:
URL: https://github.com/apache/iceberg/pull/3171#discussion_r715932642
##########
File path: spark3/src/main/java/org/apache/iceberg/spark/source/SparkWrite.java
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@@ -538,68 +543,127 @@ protected WriterFactory(Broadcast<Table> tableBroadcast,
FileFormat format, long
@Override
public DataWriter<InternalRow> createWriter(int partitionId, long taskId,
long epochId) {
Table table = tableBroadcast.value();
-
- OutputFileFactory fileFactory = OutputFileFactory.builderFor(table,
partitionId, taskId).format(format).build();
- SparkAppenderFactory appenderFactory =
SparkAppenderFactory.builderFor(table, writeSchema, dsSchema).build();
-
PartitionSpec spec = table.spec();
FileIO io = table.io();
+ OutputFileFactory fileFactory = OutputFileFactory.builderFor(table,
partitionId, taskId)
+ .format(format)
+ .build();
+ SparkFileWriterFactory writerFactory =
SparkFileWriterFactory.builderFor(table)
+ .dataFileFormat(format)
+ .dataSchema(writeSchema)
+ .dataSparkType(dsSchema)
+ .build();
+
if (spec.isUnpartitioned()) {
- return new Unpartitioned3Writer(spec, format, appenderFactory,
fileFactory, io, targetFileSize);
+ ClusteredDataWriter<InternalRow> dataWriter = new
ClusteredDataWriter<>(
+ writerFactory, fileFactory, io,
+ format, targetFileSize);
Review comment:
Why use a clustered writer? I guess it doesn't matter?
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