prashantwason commented on a change in pull request #1804:
URL: https://github.com/apache/hudi/pull/1804#discussion_r458355792



##########
File path: 
hudi-client/src/main/java/org/apache/hudi/io/HoodieSortedMergeHandle.java
##########
@@ -0,0 +1,125 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hudi.io;
+
+import org.apache.hudi.client.SparkTaskContextSupplier;
+import org.apache.hudi.client.WriteStatus;
+import org.apache.hudi.common.model.HoodieBaseFile;
+import org.apache.hudi.common.model.HoodieRecord;
+import org.apache.hudi.common.model.HoodieRecordPayload;
+import org.apache.hudi.config.HoodieWriteConfig;
+import org.apache.hudi.exception.HoodieUpsertException;
+import org.apache.hudi.table.HoodieTable;
+
+import org.apache.avro.generic.GenericRecord;
+import org.apache.log4j.LogManager;
+import org.apache.log4j.Logger;
+
+import java.io.IOException;
+import java.util.Iterator;
+import java.util.Map;
+import java.util.PriorityQueue;
+import java.util.Queue;
+
+@SuppressWarnings("Duplicates")
+public class HoodieSortedMergeHandle<T extends HoodieRecordPayload> extends 
HoodieMergeHandle<T> {
+
+  private static final Logger LOG = 
LogManager.getLogger(HoodieSortedMergeHandle.class);
+
+  private Queue<String> newRecordKeysSorted = new PriorityQueue<>();
+
+  public HoodieSortedMergeHandle(HoodieWriteConfig config, String instantTime, 
HoodieTable<T> hoodieTable,
+       Iterator<HoodieRecord<T>> recordItr, String partitionPath, String 
fileId, SparkTaskContextSupplier sparkTaskContextSupplier) {
+    super(config, instantTime, hoodieTable, recordItr, partitionPath, fileId, 
sparkTaskContextSupplier);
+    newRecordKeysSorted.addAll(keyToNewRecords.keySet());
+  }
+
+  /**
+   * Called by compactor code path.
+   */
+  public HoodieSortedMergeHandle(HoodieWriteConfig config, String instantTime, 
HoodieTable<T> hoodieTable,
+      Map<String, HoodieRecord<T>> keyToNewRecordsOrig, String partitionPath, 
String fileId,
+      HoodieBaseFile dataFileToBeMerged, SparkTaskContextSupplier 
sparkTaskContextSupplier) {
+    super(config, instantTime, hoodieTable, keyToNewRecordsOrig, 
partitionPath, fileId, dataFileToBeMerged,
+        sparkTaskContextSupplier);
+
+    newRecordKeysSorted.addAll(keyToNewRecords.keySet());
+  }
+
+  /**
+   * Go through an old record. Here if we detect a newer version shows up, we 
write the new one to the file.
+   */
+  @Override
+  public void write(GenericRecord oldRecord) {
+    String key = 
oldRecord.get(HoodieRecord.RECORD_KEY_METADATA_FIELD).toString();
+
+    // To maintain overall sorted order across updates and inserts, write any 
new inserts whose keys are less than
+    // the oldRecord's key.
+    while (!newRecordKeysSorted.isEmpty() && 
newRecordKeysSorted.peek().compareTo(key) <= 0) {
+      String keyToPreWrite = newRecordKeysSorted.remove();
+      if (keyToPreWrite.equals(key)) {
+        // will be handled as an update later
+        break;
+      }
+
+      // This is a new insert
+      HoodieRecord<T> hoodieRecord = new 
HoodieRecord<>(keyToNewRecords.get(keyToPreWrite));
+      if (writtenRecordKeys.contains(keyToPreWrite)) {
+        throw new HoodieUpsertException("Insert/Update not in sorted order");
+      }
+      try {
+        if (useWriterSchema) {
+          writeRecord(hoodieRecord, 
hoodieRecord.getData().getInsertValue(writerSchema));
+        } else {
+          writeRecord(hoodieRecord, 
hoodieRecord.getData().getInsertValue(originalSchema));
+        }
+        insertRecordsWritten++;
+        writtenRecordKeys.add(keyToPreWrite);
+      } catch (IOException e) {
+        throw new HoodieUpsertException("Failed to write records", e);
+      }
+    }
+
+    super.write(oldRecord);
+  }
+
+  @Override
+  public WriteStatus close() {
+    // write out any pending records (this can happen when inserts are turned 
into updates)
+    newRecordKeysSorted.stream().sorted().forEach(key -> {

Review comment:
       Yes, sorting is not required here. Leftover from earlier where I was not 
using PriorityQueue for newRecordKeysSorted.




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