p-eye commented on code in PR #28498: URL: https://github.com/apache/flink/pull/28498#discussion_r3447666586
########## flink-formats/flink-avro-confluent-registry/src/main/java/org/apache/flink/formats/avro/registry/confluent/debezium/DebeziumAvroDecodingFormat.java: ########## @@ -0,0 +1,266 @@ +/* + * 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.formats.avro.registry.confluent.debezium; + +import org.apache.flink.api.common.serialization.DeserializationSchema; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.formats.avro.registry.confluent.debezium.DebeziumAvroDeserializationSchema.MetadataConverter; +import org.apache.flink.table.api.DataTypes; +import org.apache.flink.table.connector.ChangelogMode; +import org.apache.flink.table.connector.Projection; +import org.apache.flink.table.connector.format.DecodingFormat; +import org.apache.flink.table.connector.format.ProjectableDecodingFormat; +import org.apache.flink.table.connector.source.DynamicTableSource; +import org.apache.flink.table.data.GenericMapData; +import org.apache.flink.table.data.GenericRowData; +import org.apache.flink.table.data.RowData; +import org.apache.flink.table.data.StringData; +import org.apache.flink.table.types.DataType; +import org.apache.flink.table.types.utils.DataTypeUtils; +import org.apache.flink.types.RowKind; + +import java.util.Collections; +import java.util.HashMap; +import java.util.LinkedHashMap; +import java.util.List; +import java.util.Map; +import java.util.stream.Collectors; +import java.util.stream.IntStream; +import java.util.stream.Stream; + +/** {@link DecodingFormat} for Debezium using Avro encoding. */ +public class DebeziumAvroDecodingFormat + implements ProjectableDecodingFormat<DeserializationSchema<RowData>> { + + // ---------------------------------------------------------------------------------------- + // Mutable attributes + // ---------------------------------------------------------------------------------------- + + private List<String> metadataKeys; + + // ---------------------------------------------------------------------------------------- + // Debezium-specific attributes + // ---------------------------------------------------------------------------------------- + + private final String schemaRegistryURL; + private final String schema; + private final Map<String, ?> optionalPropertiesMap; + + public DebeziumAvroDecodingFormat( + String schemaRegistryURL, String schema, Map<String, ?> optionalPropertiesMap) { + this.schemaRegistryURL = schemaRegistryURL; + this.schema = schema; + this.optionalPropertiesMap = optionalPropertiesMap; + this.metadataKeys = Collections.emptyList(); + } + + @Override + public DeserializationSchema<RowData> createRuntimeDecoder( + DynamicTableSource.Context context, DataType physicalDataType, int[][] projections) { + physicalDataType = Projection.of(projections).project(physicalDataType); + + final List<ReadableMetadata> readableMetadata = + metadataKeys.stream() + .map( + k -> + Stream.of(ReadableMetadata.values()) + .filter(rm -> rm.key.equals(k)) + .findFirst() + .orElseThrow(IllegalStateException::new)) + .collect(Collectors.toList()); + final List<DataTypes.Field> metadataFields = + readableMetadata.stream() + .map(m -> DataTypes.FIELD(m.key, m.dataType)) + .collect(Collectors.toList()); + + final DataType producedDataType = + DataTypeUtils.appendRowFields(physicalDataType, metadataFields); + final TypeInformation<RowData> producedTypeInfo = + context.createTypeInformation(producedDataType); + + return new DebeziumAvroDeserializationSchema( + physicalDataType, + readableMetadata, + producedTypeInfo, + schemaRegistryURL, + schema, + optionalPropertiesMap); + } + + @Override + public Map<String, DataType> listReadableMetadata() { + final Map<String, DataType> metadataMap = new LinkedHashMap<>(); + Stream.of(ReadableMetadata.values()) + .forEachOrdered(m -> metadataMap.put(m.key, m.dataType)); + return metadataMap; + } + + @Override + public void applyReadableMetadata(List<String> metadataKeys) { + this.metadataKeys = metadataKeys; + } + + @Override + public ChangelogMode getChangelogMode() { + return ChangelogMode.newBuilder() + .addContainedKind(RowKind.INSERT) + .addContainedKind(RowKind.UPDATE_BEFORE) + .addContainedKind(RowKind.UPDATE_AFTER) + .addContainedKind(RowKind.DELETE) + .build(); + } + + // ---------------------------------------------------------------------------------------- + // Metadata handling + // ---------------------------------------------------------------------------------------- + + /** List of metadata that can be read with this format. */ + enum ReadableMetadata { Review Comment: Yes, intentional. The `debezium-json` format exposes the inline `schema` field because it is embedded in each JSON message. However, the Confluent Avro format stores schemas in the registry and messages only carry the schema ID. Since there is no inline `schema` field in the Avro payload itself, there is nothing to expose as metadata. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
