hequn8128 commented on a change in pull request #9977: [FLINK-14497][python] 
Support primitive data types in Python user-defined functions
URL: https://github.com/apache/flink/pull/9977#discussion_r338640921
 
 

 ##########
 File path: 
flink-python/src/main/java/org/apache/flink/table/runtime/typeutils/PythonTypeUtils.java
 ##########
 @@ -0,0 +1,473 @@
+/*
+ * 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;
+
+import org.apache.flink.annotation.Internal;
+import org.apache.flink.api.common.typeutils.TypeSerializer;
+import org.apache.flink.api.common.typeutils.base.BooleanSerializer;
+import org.apache.flink.api.common.typeutils.base.ByteSerializer;
+import org.apache.flink.api.common.typeutils.base.DoubleSerializer;
+import org.apache.flink.api.common.typeutils.base.FloatSerializer;
+import org.apache.flink.api.common.typeutils.base.IntSerializer;
+import org.apache.flink.api.common.typeutils.base.LongSerializer;
+import org.apache.flink.api.common.typeutils.base.ShortSerializer;
+import 
org.apache.flink.api.common.typeutils.base.array.BytePrimitiveArraySerializer;
+import org.apache.flink.api.java.typeutils.runtime.RowSerializer;
+import org.apache.flink.fnexecution.v1.FlinkFnApi;
+import org.apache.flink.table.runtime.typeutils.serializers.BaseRowSerializer;
+import org.apache.flink.table.runtime.typeutils.serializers.DateSerializer;
+import org.apache.flink.table.runtime.typeutils.serializers.StringSerializer;
+import org.apache.flink.table.types.logical.AnyType;
+import org.apache.flink.table.types.logical.ArrayType;
+import org.apache.flink.table.types.logical.BigIntType;
+import org.apache.flink.table.types.logical.BinaryType;
+import org.apache.flink.table.types.logical.BooleanType;
+import org.apache.flink.table.types.logical.CharType;
+import org.apache.flink.table.types.logical.DateType;
+import org.apache.flink.table.types.logical.DayTimeIntervalType;
+import org.apache.flink.table.types.logical.DecimalType;
+import org.apache.flink.table.types.logical.DistinctType;
+import org.apache.flink.table.types.logical.DoubleType;
+import org.apache.flink.table.types.logical.FloatType;
+import org.apache.flink.table.types.logical.IntType;
+import org.apache.flink.table.types.logical.LocalZonedTimestampType;
+import org.apache.flink.table.types.logical.LogicalType;
+import org.apache.flink.table.types.logical.LogicalTypeVisitor;
+import org.apache.flink.table.types.logical.MapType;
+import org.apache.flink.table.types.logical.MultisetType;
+import org.apache.flink.table.types.logical.NullType;
+import org.apache.flink.table.types.logical.RowType;
+import org.apache.flink.table.types.logical.SmallIntType;
+import org.apache.flink.table.types.logical.StructuredType;
+import org.apache.flink.table.types.logical.SymbolType;
+import org.apache.flink.table.types.logical.TimeType;
+import org.apache.flink.table.types.logical.TimestampType;
+import org.apache.flink.table.types.logical.TinyIntType;
+import org.apache.flink.table.types.logical.VarBinaryType;
+import org.apache.flink.table.types.logical.VarCharType;
+import org.apache.flink.table.types.logical.YearMonthIntervalType;
+import org.apache.flink.table.types.logical.ZonedTimestampType;
+
+/**
+ * Utilities for serializing Flink data.
+ */
+@Internal
+public final class PythonTypeUtils {
+
+       private static final String EMPTY_STRING = "";
+
+       public static TypeSerializer toFlinkTypeSerializer(LogicalType 
logicalType) {
+               return logicalType.accept(new 
LogicalTypeToTypeSerializerConverter());
+       }
+
+       public static TypeSerializer toBlinkTypeSerializer(LogicalType 
logicalType) {
+               return logicalType.accept(new 
LogicalTypeToBlinkTypeSerializerConverter());
+       }
+
+       public static FlinkFnApi.Schema.FieldType toProtoType(LogicalType 
logicalType) {
+               return logicalType.accept(new 
LogicalTypeToProtoTypeConverter());
+       }
+
+       private static class LogicalTypeToTypeSerializerConverter implements 
LogicalTypeVisitor<TypeSerializer> {
 
 Review comment:
   Maybe extend from `LogicalTypeDefaultVisitor` is better, so that we don't 
need to override the type that we have not supported explicitly and throw the 
exception in `defaultMethod`.

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