yuxiqian commented on code in PR #3801:
URL: https://github.com/apache/flink-cdc/pull/3801#discussion_r1891253357


##########
flink-cdc-runtime/src/main/java/org/apache/flink/cdc/runtime/partitioning/DistributedPrePartitionOperator.java:
##########
@@ -0,0 +1,138 @@
+/*
+ * 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.flink.cdc.runtime.partitioning;
+
+import org.apache.flink.cdc.common.annotation.Internal;
+import org.apache.flink.cdc.common.event.DataChangeEvent;
+import org.apache.flink.cdc.common.event.Event;
+import org.apache.flink.cdc.common.event.SchemaChangeEvent;
+import org.apache.flink.cdc.common.event.TableId;
+import org.apache.flink.cdc.common.function.HashFunction;
+import org.apache.flink.cdc.common.function.HashFunctionProvider;
+import org.apache.flink.cdc.common.schema.Schema;
+import org.apache.flink.cdc.common.utils.SchemaUtils;
+import org.apache.flink.cdc.runtime.operators.schema.regular.SchemaOperator;
+import org.apache.flink.cdc.runtime.serializer.event.EventSerializer;
+import org.apache.flink.runtime.state.StateSnapshotContext;
+import org.apache.flink.streaming.api.operators.AbstractStreamOperator;
+import org.apache.flink.streaming.api.operators.ChainingStrategy;
+import org.apache.flink.streaming.api.operators.OneInputStreamOperator;
+import org.apache.flink.streaming.runtime.streamrecord.StreamRecord;
+
+import java.io.Serializable;
+import java.util.HashMap;
+import java.util.Map;
+
+/**
+ * Operator for processing events from {@link SchemaOperator} before {@link 
EventPartitioner} with
+ * distributed topology.
+ */
+@Internal
+public class DistributedPrePartitionOperator extends 
AbstractStreamOperator<PartitioningEvent>
+        implements OneInputStreamOperator<Event, PartitioningEvent>, 
Serializable {
+    private static final long serialVersionUID = 1L;
+
+    private final int downstreamParallelism;
+    private final HashFunctionProvider<DataChangeEvent> hashFunctionProvider;
+
+    // Schema and HashFunctionMap used in schema inferencing mode.
+    private transient Map<TableId, Schema> schemaMap;
+    private transient Map<TableId, HashFunction<DataChangeEvent>> 
hashFunctionMap;
+
+    private transient int subTaskId;
+
+    public DistributedPrePartitionOperator(
+            int downstreamParallelism, HashFunctionProvider<DataChangeEvent> 
hashFunctionProvider) {
+        this.chainingStrategy = ChainingStrategy.ALWAYS;
+        this.downstreamParallelism = downstreamParallelism;
+        this.hashFunctionProvider = hashFunctionProvider;
+    }
+
+    @Override
+    public void open() throws Exception {
+        super.open();
+        subTaskId = getRuntimeContext().getTaskInfo().getIndexOfThisSubtask();
+        schemaMap = new HashMap<>();
+        hashFunctionMap = new HashMap<>();
+    }
+
+    @Override
+    public void processElement(StreamRecord<Event> element) throws Exception {
+        Event event = element.getValue();
+        if (event instanceof SchemaChangeEvent) {
+            SchemaChangeEvent schemaChangeEvent = (SchemaChangeEvent) event;
+            TableId tableId = schemaChangeEvent.tableId();
+
+            // Update schema map
+            schemaMap.compute(
+                    tableId,
+                    (tId, oldSchema) ->
+                            SchemaUtils.applySchemaChangeEvent(oldSchema, 
schemaChangeEvent));
+
+            // For malformed dangling dropTableEvents, we simply ignore this 
event to avoid breaking
+            // the pipeline.

Review Comment:
   Sorry, they're some residual coming from previous attempt to create a 
unified topology for both regular and distributed sources. Since this operator 
will only be used in the new topology, the dangling "DropTableEvent" case is 
impossible.



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