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_r354646821
########## File path: flink-python/src/main/java/org/apache/flink/table/runtime/typeutils/serializers/python/BaseMapSerializer.java ########## @@ -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; + final int size = binaryMap.numElements(); + target.writeInt(size); + BinaryArray keyArray = binaryMap.keyArray(); + BinaryArray valueArray = binaryMap.valueArray(); + for (int i = 0; i < size; i++) { + if (keyArray.isNullAt(i)) { + throw new IllegalArgumentException("The key of BinaryMap must not be null."); + } + Object key = TypeGetterSetters.get(keyArray, i, keyType); + keyTypeSerializer.serialize(key, target); + if (valueArray.isNullAt(i)) { + target.writeBoolean(true); + } else { + target.writeBoolean(false); + Object value = TypeGetterSetters.get(valueArray, i, valueType); + valueTypeSerializer.serialize(value, target); + } + } + } + + @Override + public BaseMap deserialize(DataInputView source) throws IOException { + final int size = source.readInt(); + BinaryArray keyArray = new BinaryArray(); + BinaryArray valueArray = new BinaryArray(); + BinaryArrayWriter keyWriter = new BinaryArrayWriter(keyArray, size, keySize); + BinaryArrayWriter valueWriter = new BinaryArrayWriter(valueArray, size, valueSize); + for (int i = 0; i < size; i++) { + Object key = keyTypeSerializer.deserialize(source); + BinaryWriter.write(keyWriter, i, key, keyType, keyTypeSerializer); + boolean isNull = source.readBoolean(); + if (isNull) { + valueWriter.setNullAt(i); + } else { + Object value = valueTypeSerializer.deserialize(source); + BinaryWriter.write(valueWriter, i, value, valueType, valueTypeSerializer); + } + } + keyWriter.complete(); + valueWriter.complete(); + return BinaryMap.valueOf(keyArray, valueArray); + } + + @Override + public BaseMap deserialize(BaseMap reuse, DataInputView source) throws IOException { + return deserialize(source); + } + + @Override + public void copy(DataInputView source, DataOutputView target) throws IOException { + serialize(deserialize(source), target); + } + + @Override + public TypeSerializer<BaseMap> duplicate() { + return new BaseMapSerializer(keyType, valueType, keyTypeSerializer, valueTypeSerializer); + } + + @Override + public TypeSerializerSnapshot<BaseMap> snapshotConfiguration() { + return new BaseMapSerializerSnapshot(keyType, valueType, keyTypeSerializer, valueTypeSerializer); + } + + /** + * {@link TypeSerializerSnapshot} for {@link BaseMapSerializer}. + */ + public static final class BaseMapSerializerSnapshot implements TypeSerializerSnapshot<BaseMap> { + private static final int CURRENT_VERSION = 3; Review comment: Version 1? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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