vahmed-hamdy commented on code in PR #136: URL: https://github.com/apache/flink-connector-aws/pull/136#discussion_r1638374818
########## flink-connector-aws/flink-connector-dynamodb/src/main/java/org/apache/flink/connector/dynamodb/sink/DynamoDbTypeInformedElementConverter.java: ########## @@ -0,0 +1,380 @@ +/* + * 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.connector.dynamodb.sink; + +import org.apache.flink.annotation.PublicEvolving; +import org.apache.flink.api.common.typeinfo.BasicArrayTypeInfo; +import org.apache.flink.api.common.typeinfo.BasicTypeInfo; +import org.apache.flink.api.common.typeinfo.NumericTypeInfo; +import org.apache.flink.api.common.typeinfo.PrimitiveArrayTypeInfo; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeutils.CompositeType; +import org.apache.flink.api.connector.sink2.SinkWriter; +import org.apache.flink.api.java.tuple.Tuple; +import org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo; +import org.apache.flink.api.java.typeutils.PojoTypeInfo; +import org.apache.flink.api.java.typeutils.RowTypeInfo; +import org.apache.flink.api.java.typeutils.TupleTypeInfo; +import org.apache.flink.connector.base.sink.writer.ElementConverter; +import org.apache.flink.connector.dynamodb.table.converter.ArrayAttributeConverterProvider; +import org.apache.flink.types.Row; +import org.apache.flink.util.FlinkRuntimeException; +import org.apache.flink.util.Preconditions; + +import software.amazon.awssdk.core.SdkBytes; +import software.amazon.awssdk.enhanced.dynamodb.AttributeConverter; +import software.amazon.awssdk.enhanced.dynamodb.AttributeConverterProvider; +import software.amazon.awssdk.enhanced.dynamodb.AttributeValueType; +import software.amazon.awssdk.enhanced.dynamodb.EnhancedType; +import software.amazon.awssdk.enhanced.dynamodb.TableSchema; +import software.amazon.awssdk.enhanced.dynamodb.internal.mapper.BeanAttributeGetter; +import software.amazon.awssdk.enhanced.dynamodb.mapper.StaticTableSchema; +import software.amazon.awssdk.services.dynamodb.model.AttributeValue; + +import java.beans.BeanInfo; +import java.beans.IntrospectionException; +import java.beans.Introspector; +import java.beans.PropertyDescriptor; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.HashSet; +import java.util.List; +import java.util.Set; +import java.util.function.Function; + +/** + * A {@link ElementConverter} that converts an element to a {@link DynamoDbWriteRequest} using + * TypeInformation provided. + */ +@PublicEvolving +public class DynamoDbTypeInformedElementConverter<T> + implements ElementConverter<T, DynamoDbWriteRequest> { + + private final CompositeType<T> typeInfo; + private final boolean ignoreNulls; + private final TableSchema<T> tableSchema; + + /** + * Creates a {@link DynamoDbTypeInformedElementConverter} that converts an element to a {@link + * DynamoDbWriteRequest} using the provided {@link CompositeType}. Usage: {@code new + * DynamoDbTypeInformedElementConverter<>(TypeInformation.of(MyPojoClass.class))} + * + * @param typeInfo The {@link CompositeType} that provides the type information for the element. + */ + public DynamoDbTypeInformedElementConverter(CompositeType<T> typeInfo) { + this(typeInfo, true); + } + + public DynamoDbTypeInformedElementConverter(CompositeType<T> typeInfo, boolean ignoreNulls) { + + try { + this.typeInfo = typeInfo; + this.ignoreNulls = ignoreNulls; + this.tableSchema = createTableSchema(typeInfo); + } catch (IntrospectionException | IllegalStateException | IllegalArgumentException e) { + throw new FlinkRuntimeException("Failed to extract DynamoDb table schema", e); + } + } + + @Override + public DynamoDbWriteRequest apply(T input, SinkWriter.Context context) { + Preconditions.checkNotNull(tableSchema, "TableSchema is not initialized"); + try { + return DynamoDbWriteRequest.builder() + .setType(DynamoDbWriteRequestType.PUT) + .setItem(tableSchema.itemToMap(input, ignoreNulls)) + .build(); + } catch (ClassCastException | IllegalArgumentException e) { + throw new FlinkRuntimeException( + String.format( + "Failed to convert %s to DynamoDbWriteRequest using %s", + input, typeInfo), + e); + } + } + + private <AttributeT> TableSchema<AttributeT> createTableSchema( + CompositeType<AttributeT> typeInfo) throws IntrospectionException { + if (typeInfo instanceof RowTypeInfo) { + return (TableSchema<AttributeT>) createTableSchemaFromRowType((RowTypeInfo) typeInfo); + } else if (typeInfo instanceof PojoTypeInfo<?>) { + return createTableSchemaFromPojo((PojoTypeInfo<AttributeT>) typeInfo); + } else if (typeInfo instanceof TupleTypeInfo<?>) { + return createTableSchemaFromTuple((TupleTypeInfo<?>) typeInfo); + } else { + throw new IllegalArgumentException(String.format("Unsupported TypeInfo %s", typeInfo)); + } + } + + private TableSchema<Row> createTableSchemaFromRowType(RowTypeInfo typeInfo) { + StaticTableSchema.Builder<Row> tableSchemaBuilder = + StaticTableSchema.builder(typeInfo.getTypeClass()); + + String[] fieldNames = typeInfo.getFieldNames(); + for (int i = 0; i < typeInfo.getArity(); i++) { + TypeInformation<?> fieldType = typeInfo.getTypeAt(i); + int finalI = i; + addAttribute( + tableSchemaBuilder, + fieldNames[finalI], + (AttributeT) -> AttributeT.getField(finalI), + (TypeInformation<? super Object>) fieldType); + } + + return tableSchemaBuilder.build(); + } + + private <AttributeT> TableSchema<AttributeT> createTableSchemaFromTuple( + TupleTypeInfo<?> typeInfo) { + TypeInformation<?>[] fieldTypes = typeInfo.getFieldTypes(); + String[] fieldNames = typeInfo.getFieldNames(); + + StaticTableSchema.Builder<?> tableSchemaBuilder = + StaticTableSchema.builder(typeInfo.getTypeClass()); + for (int i = 0; i < fieldNames.length; i++) { + int finalI = i; + addAttribute( + tableSchemaBuilder, + fieldNames[finalI], + (tuple) -> ((Tuple) tuple).getField(finalI), + (TypeInformation<?>) fieldTypes[i]); + } + + return (TableSchema<AttributeT>) tableSchemaBuilder.build(); + } + + private <AttributeT> TableSchema<AttributeT> createTableSchemaFromPojo( + PojoTypeInfo<AttributeT> typeInfo) throws IntrospectionException { + StaticTableSchema.Builder<AttributeT> tableSchemaBuilder = + StaticTableSchema.builder(typeInfo.getTypeClass()); + BeanInfo beanInfo = Introspector.getBeanInfo(typeInfo.getTypeClass()); + PropertyDescriptor[] propertyDescriptors = beanInfo.getPropertyDescriptors(); + for (PropertyDescriptor propertyDescriptor : propertyDescriptors) { + Set<String> fieldNames = new HashSet<>(Arrays.asList(typeInfo.getFieldNames())); + if (!fieldNames.contains(propertyDescriptor.getName())) { + // Skip properties that are not part of the PojoTypeInfo + continue; + } + + TypeInformation<?> fieldInfo = typeInfo.getTypeAt(propertyDescriptor.getName()); + addAttribute( + tableSchemaBuilder, + propertyDescriptor.getName(), + BeanAttributeGetter.create( + typeInfo.getTypeClass(), propertyDescriptor.getReadMethod()), + fieldInfo); + } + + return tableSchemaBuilder.build(); + } + + private <T, AttributeT> void addAttribute( + StaticTableSchema.Builder<T> builder, + String fieldName, + Function<T, AttributeT> getter, + TypeInformation<AttributeT> typeInfo) { + builder.addAttribute( + typeInfo.getTypeClass(), + a -> + a.name(fieldName) + .getter(getter) + .setter((e, o) -> {}) + .attributeConverter(getAttributeConverter(typeInfo))); + } + + private <AttributeT> AttributeConverter<AttributeT> getAttributeConverter( + TypeInformation<AttributeT> typeInfo) { + if (typeInfo instanceof BasicTypeInfo) { + return AttributeConverterProvider.defaultProvider() + .converterFor(EnhancedType.of(typeInfo.getTypeClass())); + } else if (typeInfo.equals(PrimitiveArrayTypeInfo.BYTE_PRIMITIVE_ARRAY_TYPE_INFO)) { + return getAttributeConverter( + AttributeValueType.B, + bytes -> + bytes instanceof SdkBytes + ? AttributeValue.fromB((SdkBytes) bytes) + : AttributeValue.fromB(SdkBytes.fromByteArray((byte[]) bytes))); + } else if (typeInfo instanceof BasicArrayTypeInfo) { + BasicArrayTypeInfo<AttributeT, ?> basicArrayTypeInfo = + (BasicArrayTypeInfo<AttributeT, ?>) typeInfo; + if (basicArrayTypeInfo.getComponentInfo().equals(BasicTypeInfo.STRING_TYPE_INFO)) { + return getAttributeConverter( + AttributeValueType.SS, + array -> AttributeValue.fromSs(Arrays.asList((String[]) array))); + } else if (basicArrayTypeInfo.getComponentInfo() instanceof NumericTypeInfo) { + return getAttributeConverter( + AttributeValueType.NS, + array -> + AttributeValue.fromNs( + convertObjectArrayToStringList((Object[]) array))); + } + + return new ArrayAttributeConverterProvider() + .converterFor(EnhancedType.of(typeInfo.getTypeClass())); + } else if (typeInfo instanceof ObjectArrayTypeInfo) { + return getObjectArrayTypeConverter((ObjectArrayTypeInfo<AttributeT, ?>) typeInfo); + } else if (typeInfo instanceof PrimitiveArrayTypeInfo) { + PrimitiveArrayTypeInfo<AttributeT> primitiveArrayTypeInfo = + (PrimitiveArrayTypeInfo<AttributeT>) typeInfo; + if (primitiveArrayTypeInfo.getComponentType() instanceof NumericTypeInfo) { + return getAttributeConverter( + AttributeValueType.NS, + array -> AttributeValue.fromNs(convertPrimitiveArrayToStringList(array))); + } else { + throw new IllegalArgumentException( + String.format( + "Unsupported primitive array typeInfo %s", + primitiveArrayTypeInfo.getComponentType())); + } Review Comment: @hlteoh37 yes, the whole approach actually is very similar, however The way `AttributeConverterProvider` works is by mapping `EnhancedType` provided to an `AttributeConverter`, We here rely on Flink's `TypeInfo` rather than the `EnhancedType` that's why we created an alternative structure. 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