rkhachatryan commented on code in PR #27602: URL: https://github.com/apache/flink/pull/27602#discussion_r2832749261
########## flink-table/flink-table-runtime/src/main/java/org/apache/flink/table/runtime/operators/sink/WatermarkCompactingSinkMaterializer.java: ########## @@ -0,0 +1,566 @@ +/* + * 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.operators.sink; + +import org.apache.flink.api.common.state.MapState; +import org.apache.flink.api.common.state.MapStateDescriptor; +import org.apache.flink.api.common.state.ValueState; +import org.apache.flink.api.common.state.ValueStateDescriptor; +import org.apache.flink.api.common.typeutils.TypeSerializer; +import org.apache.flink.api.common.typeutils.base.ListSerializer; +import org.apache.flink.runtime.state.KeyedStateBackend; +import org.apache.flink.runtime.state.StateInitializationContext; +import org.apache.flink.runtime.state.VoidNamespace; +import org.apache.flink.runtime.state.VoidNamespaceSerializer; +import org.apache.flink.streaming.api.operators.InternalTimer; +import org.apache.flink.streaming.api.operators.InternalTimerService; +import org.apache.flink.streaming.api.operators.OneInputStreamOperator; +import org.apache.flink.streaming.api.operators.TimestampedCollector; +import org.apache.flink.streaming.api.operators.Triggerable; +import org.apache.flink.streaming.api.watermark.Watermark; +import org.apache.flink.streaming.runtime.streamrecord.StreamRecord; +import org.apache.flink.table.api.InsertConflictStrategy; +import org.apache.flink.table.api.InsertConflictStrategy.ConflictBehavior; +import org.apache.flink.table.api.TableRuntimeException; +import org.apache.flink.table.data.RowData; +import org.apache.flink.table.data.utils.ProjectedRowData; +import org.apache.flink.table.runtime.generated.GeneratedRecordEqualiser; +import org.apache.flink.table.runtime.generated.RecordEqualiser; +import org.apache.flink.table.runtime.operators.TableStreamOperator; +import org.apache.flink.table.runtime.typeutils.InternalSerializers; +import org.apache.flink.table.types.logical.LogicalType; +import org.apache.flink.table.types.logical.RowType; +import org.apache.flink.types.RowKind; +import org.apache.flink.util.Preconditions; + +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import javax.annotation.Nullable; + +import java.util.ArrayList; +import java.util.Iterator; +import java.util.List; +import java.util.Map; +import java.util.Set; + +import static org.apache.flink.types.RowKind.DELETE; +import static org.apache.flink.types.RowKind.INSERT; +import static org.apache.flink.types.RowKind.UPDATE_AFTER; + +/** + * A sink materializer that buffers records and compacts them on watermark progression. + * + * <p>This operator implements the watermark-based compaction algorithm from FLIP-558 for handling + * changelog disorder when the upsert key differs from the sink's primary key. + */ +public class WatermarkCompactingSinkMaterializer extends TableStreamOperator<RowData> + implements OneInputStreamOperator<RowData, RowData>, Triggerable<RowData, VoidNamespace> { + + private static final long serialVersionUID = 1L; + + private static final Logger LOG = + LoggerFactory.getLogger(WatermarkCompactingSinkMaterializer.class); + + private static final String STATE_CLEARED_WARN_MSG = + "The state is cleared because of state TTL. This will lead to incorrect results. " + + "You can increase the state TTL to avoid this."; Review Comment: States support TTL when they are configured with TTL support; this operator doesn't configure states to support TTL. And I thought no TTL makes sense here because watermarks should "prune" old entries. But on the second thought, in case of ever-growing key space, the state will also grow indefinitely, right? So maybe we should actually add TTL support? But that might be tricky, given that we have multiple data structures here -- 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]
