hequn8128 commented on a change in pull request #10086: [FLINK-14584][python] 
Support complex data types in Python user-defined functions
URL: https://github.com/apache/flink/pull/10086#discussion_r354643597
 
 

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 File path: 
flink-python/src/main/java/org/apache/flink/table/runtime/typeutils/serializers/python/BaseMapSerializer.java
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 @@ -0,0 +1,214 @@
+/*
+ * 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.table.runtime.typeutils.serializers.python;
+
+import org.apache.flink.annotation.Internal;
+import org.apache.flink.api.common.typeutils.TypeSerializer;
+import org.apache.flink.api.common.typeutils.TypeSerializerSchemaCompatibility;
+import org.apache.flink.api.common.typeutils.TypeSerializerSnapshot;
+import org.apache.flink.api.java.typeutils.runtime.DataInputViewStream;
+import org.apache.flink.api.java.typeutils.runtime.DataOutputViewStream;
+import org.apache.flink.core.memory.DataInputView;
+import org.apache.flink.core.memory.DataOutputView;
+import org.apache.flink.table.dataformat.BaseMap;
+import org.apache.flink.table.dataformat.BinaryArray;
+import org.apache.flink.table.dataformat.BinaryArrayWriter;
+import org.apache.flink.table.dataformat.BinaryMap;
+import org.apache.flink.table.dataformat.BinaryWriter;
+import org.apache.flink.table.dataformat.TypeGetterSetters;
+import org.apache.flink.table.types.logical.LogicalType;
+import org.apache.flink.util.InstantiationUtil;
+
+import java.io.IOException;
+
+/**
+ * A {@link TypeSerializer} for {@link BaseMap}. It should be noted that the 
header will not be
+ * encoded. Currently Python doesn't support BinaryMap natively, so we can't 
use BaseArraySerializer
+ * in blink directly.
+ */
+@Internal
+public class BaseMapSerializer extends 
org.apache.flink.table.runtime.typeutils.BaseMapSerializer {
+
+       private static final long serialVersionUID = 1L;
+
+       private final LogicalType keyType;
+
+       private final LogicalType valueType;
+
+       private final TypeSerializer keyTypeSerializer;
+
+       private final TypeSerializer valueTypeSerializer;
+
+       private final int keySize;
+
+       private final int valueSize;
+
+       public BaseMapSerializer(LogicalType keyType, LogicalType valueType
+               , TypeSerializer keyTypeSerializer, TypeSerializer 
valueTypeSerializer) {
+               super(keyType, valueType, null);
+               this.keyType = keyType;
+               this.valueType = valueType;
+               this.keyTypeSerializer = keyTypeSerializer;
+               this.valueTypeSerializer = valueTypeSerializer;
+               this.keySize = 
BinaryArray.calculateFixLengthPartSize(this.keyType);
+               this.valueSize = 
BinaryArray.calculateFixLengthPartSize(this.valueType);
+       }
+
+       @Override
+       public void serialize(BaseMap map, DataOutputView target) throws 
IOException {
+               BinaryMap binaryMap = (BinaryMap) map;
 
 Review comment:
   The BaseMap map can be a GenericMap. Take a look at the `public BaseMap 
copy(BaseMap from)` method in the Base 
class(org.apache.flink.table.runtime.typeutils.BaseMapSerializer)

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