deniskuzZ commented on code in PR #5961:
URL: https://github.com/apache/hive/pull/5961#discussion_r2223066286


##########
iceberg/iceberg-handler/src/main/java/org/apache/iceberg/mr/hive/writer/HiveIcebergWriterBase.java:
##########
@@ -108,19 +115,53 @@ static PartitioningWriter<Record, DataWriteResult> 
newDataWriter(
   // use a fanout writer if the input is unordered no matter whether fanout 
writers are enabled
   // clustered writers assume that the position deletes are already ordered by 
file and position
   static PartitioningWriter<PositionDelete<Record>, DeleteWriteResult> 
newDeleteWriter(
-      Table table, HiveFileWriterFactory writers, OutputFileFactory files, 
Context context) {
+      Table table, Map<String, DeleteFileSet> rewritableDeletes, 
HiveFileWriterFactory writers,
+      OutputFileFactory files, Context context) {
 
+    Function<CharSequence, PositionDeleteIndex> previousDeleteLoader =
+        PreviousDeleteLoader.create(table, rewritableDeletes);
     FileIO io = table.io();
     boolean inputOrdered = context.inputOrdered();
     long targetFileSize = context.targetDeleteFileSize();
     DeleteGranularity deleteGranularity = context.deleteGranularity();
 
-    if (inputOrdered) {
+    if (context.useDVs()) {
+      return new PartitioningDVWriter<>(files, previousDeleteLoader);
+    } else if (inputOrdered && rewritableDeletes == null) {

Review Comment:
   it's done the same way in SparkWriter



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