[GitHub] [iceberg] aokolnychyi commented on a change in pull request #3171: Spark: Migrate to new data writers in SparkWrite

[GitBox <gi...@apache.org>]

aokolnychyi commented on a change in pull request #3171:
URL: https://github.com/apache/iceberg/pull/3171#discussion_r715244627



##########
File path: spark3/src/main/java/org/apache/iceberg/spark/source/SparkWrite.java
##########
@@ -538,68 +543,128 @@ 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);
+        return new UnpartitionedDataWriter(dataWriter, io, spec);
+
       } else if (partitionedFanoutEnabled) {
-        return new PartitionedFanout3Writer(
-            spec, format, appenderFactory, fileFactory, io, targetFileSize, writeSchema, dsSchema);
+        FanoutDataWriter<InternalRow> dataWriter = new FanoutDataWriter<>(
+            writerFactory, fileFactory, io,
+            format, targetFileSize);
+        return new PartitionedDataWriter(dataWriter, io, spec, writeSchema, dsSchema);
+
       } else {
-        return new Partitioned3Writer(
-            spec, format, appenderFactory, fileFactory, io, targetFileSize, writeSchema, dsSchema);
+        ClusteredDataWriter<InternalRow> dataWriter = new ClusteredDataWriter<>(
+            writerFactory, fileFactory, io,
+            format, targetFileSize);
+        return new PartitionedDataWriter(dataWriter, io, spec, writeSchema, dsSchema);
       }
     }
   }
 
-  private static class Unpartitioned3Writer extends UnpartitionedWriter<InternalRow>
-      implements DataWriter<InternalRow> {
-    Unpartitioned3Writer(PartitionSpec spec, FileFormat format, SparkAppenderFactory appenderFactory,
-                         OutputFileFactory fileFactory, FileIO io, long targetFileSize) {
-      super(spec, format, appenderFactory, fileFactory, io, targetFileSize);
+  // TODO: why the old implementation throws throwFailureWhenFinished()?

Review comment:
       This is an open point. Any particular reasons for using `throwFailureWhenFinished` in the old implementation? Is it to better propagate any exceptions while deleting files?




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