AHeise commented on a change in pull request #16796: URL: https://github.com/apache/flink/pull/16796#discussion_r688457733
########## File path: flink-connectors/flink-connector-kafka/src/main/java/org/apache/flink/streaming/connectors/kafka/table/ReducingUpsertWriter.java ########## @@ -0,0 +1,179 @@ +/* + * 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.streaming.connectors.kafka.table; + +import org.apache.flink.api.connector.sink.Sink; +import org.apache.flink.api.connector.sink.SinkWriter; +import org.apache.flink.api.java.tuple.Tuple2; +import org.apache.flink.table.data.RowData; +import org.apache.flink.table.types.DataType; +import org.apache.flink.table.types.logical.LogicalType; +import org.apache.flink.types.RowKind; + +import java.io.IOException; +import java.util.Arrays; +import java.util.Collections; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.function.Function; + +import static org.apache.flink.streaming.connectors.kafka.table.DynamicKafkaRecordSerializationSchema.createProjectedRow; +import static org.apache.flink.types.RowKind.DELETE; +import static org.apache.flink.types.RowKind.UPDATE_AFTER; +import static org.apache.flink.util.Preconditions.checkArgument; +import static org.apache.flink.util.Preconditions.checkNotNull; + +class ReducingUpsertWriter<WriterState> implements SinkWriter<RowData, Void, WriterState> { + + private final SinkWriter<RowData, ?, WriterState> wrappedWriter; + private final WrappedContext wrappedContext = new WrappedContext(); + private final int batchMaxRowNums; + private final Function<RowData, RowData> valueCopyFunction; + private final Map<RowData, Tuple2<RowData, Long>> reduceBuffer = new HashMap<>(); + private final Function<RowData, RowData> keyExtractor; + private final Sink.ProcessingTimeService timeService; + private final long batchIntervalMs; + + private boolean closed = false; + private int batchCount = 0; + + ReducingUpsertWriter( + SinkWriter<RowData, ?, WriterState> wrappedWriter, + DataType physicalDataType, + int[] keyProjection, + SinkBufferFlushMode bufferFlushMode, + Sink.ProcessingTimeService timeService, + Function<RowData, RowData> valueCopyFunction) { + checkArgument(bufferFlushMode != null && bufferFlushMode.isEnabled()); + this.wrappedWriter = checkNotNull(wrappedWriter); + this.timeService = checkNotNull(timeService); + registerFlush(); + this.batchMaxRowNums = bufferFlushMode.getBatchSize(); + this.batchIntervalMs = bufferFlushMode.getBatchIntervalMs(); + + List<LogicalType> fields = physicalDataType.getLogicalType().getChildren(); + final RowData.FieldGetter[] keyFieldGetters = + Arrays.stream(keyProjection) + .mapToObj( + targetField -> + RowData.createFieldGetter( + fields.get(targetField), targetField)) + .toArray(RowData.FieldGetter[]::new); + this.keyExtractor = rowData -> createProjectedRow(rowData, RowKind.INSERT, keyFieldGetters); + this.valueCopyFunction = valueCopyFunction; + } + + @Override + public void write(RowData element, Context context) throws IOException, InterruptedException { + wrappedContext.setContext(context); + addToBuffer(element, context.timestamp()); + } + + @Override + public List<Void> prepareCommit(boolean flush) throws IOException, InterruptedException { + flush(); + return Collections.emptyList(); + } + + @Override + public List<WriterState> snapshotState() throws IOException { + return wrappedWriter.snapshotState(); + } + + @Override + public void close() throws Exception { + if (!closed) { + closed = true; + wrappedWriter.close(); + } + } + + private void addToBuffer(RowData row, Long timestamp) throws IOException, InterruptedException { + RowData key = keyExtractor.apply(row); + RowData value = valueCopyFunction.apply(row); + reduceBuffer.put(key, new Tuple2<>(changeFlag(value), timestamp)); + batchCount++; + + if (batchCount >= batchMaxRowNums) { + flush(); + } + } + + private void registerFlush() { + if (closed) { + return; + } + timeService.registerProcessingTimer( + System.currentTimeMillis() + batchIntervalMs, (t) -> flush()); Review comment: Sounds good! -- This is an automated message from the Apache Git Service. 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