dajac commented on code in PR #13675:
URL: https://github.com/apache/kafka/pull/13675#discussion_r1217619263


##########
core/src/main/scala/kafka/coordinator/group/CoordinatorPartitionWriter.scala:
##########
@@ -0,0 +1,156 @@
+/*
+ * 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 kafka.coordinator.group
+
+import kafka.cluster.PartitionListener
+import kafka.server.ReplicaManager
+import org.apache.kafka.common.TopicPartition
+import org.apache.kafka.common.errors.RecordTooLargeException
+import org.apache.kafka.common.protocol.Errors
+import org.apache.kafka.common.record.{CompressionType, MemoryRecords, 
TimestampType}
+import org.apache.kafka.common.record.Record.EMPTY_HEADERS
+import org.apache.kafka.common.requests.ProduceResponse.PartitionResponse
+import org.apache.kafka.common.utils.Time
+import org.apache.kafka.coordinator.group.runtime.PartitionWriter
+import org.apache.kafka.storage.internals.log.AppendOrigin
+
+import java.nio.ByteBuffer
+import java.util
+import scala.collection.Map
+
+private[group] class ListenerAdaptor(
+  val listener: PartitionWriter.Listener
+) extends PartitionListener {
+  override def onHighWatermarkUpdated(
+    tp: TopicPartition,
+    offset: Long
+  ): Unit = {
+    listener.onHighWatermarkUpdated(tp, offset)
+  }
+
+  override def equals(that: Any): Boolean = that match {
+    case other: ListenerAdaptor => listener.equals(other.listener)
+    case _ => false
+  }
+
+  override def hashCode(): Int = {
+    listener.hashCode()
+  }
+
+  override def toString: String = {
+    s"ListenerAdaptor(listener=$listener)"
+  }
+}
+
+class CoordinatorPartitionWriter[T](
+  replicaManager: ReplicaManager,
+  serializer: PartitionWriter.Serializer[T],
+  compressionType: CompressionType,
+  time: Time
+) extends PartitionWriter[T] {
+
+  /**
+   * Register a PartitionWriter.Listener.
+   *
+   * @param tp       The partition to register the listener to.
+   * @param listener The listener.
+   */
+  override def registerListener(
+    tp: TopicPartition,
+    listener: PartitionWriter.Listener
+  ): Unit = {
+    replicaManager.maybeAddListener(tp, new ListenerAdaptor(listener))
+  }
+
+  /**
+   * Deregister a PartitionWriter.Listener.
+   *
+   * @param tp       The partition to deregister the listener from.
+   * @param listener The listener.
+   */
+  override def deregisterListener(
+    tp: TopicPartition,
+    listener: PartitionWriter.Listener
+  ): Unit = {
+    replicaManager.removeListener(tp, new ListenerAdaptor(listener))
+  }
+
+  /**
+   * Write records to the partitions. Records are written in one batch so
+   * atomicity is guaranteed.
+   *
+   * @param tp      The partition to write records to.
+   * @param records The list of records. The records are written in a single 
batch.
+   * @return The log end offset right after the written records.
+   * @throws KafkaException Any KafkaException caught during the write 
operation.
+   */
+  override def append(
+    tp: TopicPartition,
+    records: util.List[T]
+  ): Long = {
+    if (records.isEmpty) throw new IllegalStateException("records must be 
non-empty.")
+
+    replicaManager.getLogConfig(tp) match {
+      case Some(logConfig) =>
+        val magic = logConfig.recordVersion.value
+        val maxBatchSize = logConfig.maxMessageSize
+        val currentTimeMs = time.milliseconds()
+
+        val recordsBuilder = MemoryRecords.builder(
+          ByteBuffer.allocate(math.min(16384, maxBatchSize)),
+          magic,
+          compressionType,
+          TimestampType.CREATE_TIME,
+          0L,
+          maxBatchSize
+        )
+
+        records.forEach { record =>
+          val keyBytes = serializer.serializeKey(record)
+          val valueBytes = serializer.serializeValue(record)
+
+          if (recordsBuilder.hasRoomFor(currentTimeMs, keyBytes, valueBytes, 
EMPTY_HEADERS)) recordsBuilder.append(
+            currentTimeMs,
+            keyBytes,
+            valueBytes,
+            EMPTY_HEADERS

Review Comment:
   We don't use headers at all in the group coordinator. Headers can be used to 
stored anything. For regular topics, they are defined by the end users on the 
Producer.



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