tsreaper commented on code in PR #361: URL: https://github.com/apache/flink-table-store/pull/361#discussion_r1017618639
########## flink-table-store-connector/src/main/java/org/apache/flink/table/store/connector/sink/FullChangelogStoreWriteOperator.java: ########## @@ -0,0 +1,224 @@ +/* + * 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.store.connector.sink; + +import org.apache.flink.api.common.state.ListState; +import org.apache.flink.api.common.state.ListStateDescriptor; +import org.apache.flink.api.common.typeutils.TypeSerializer; +import org.apache.flink.api.common.typeutils.base.IntSerializer; +import org.apache.flink.api.common.typeutils.base.LongSerializer; +import org.apache.flink.api.java.tuple.Tuple2; +import org.apache.flink.api.java.tuple.Tuple3; +import org.apache.flink.api.java.typeutils.runtime.TupleSerializer; +import org.apache.flink.runtime.state.StateInitializationContext; +import org.apache.flink.runtime.state.StateSnapshotContext; +import org.apache.flink.streaming.runtime.streamrecord.StreamRecord; +import org.apache.flink.table.data.RowData; +import org.apache.flink.table.data.binary.BinaryRowData; +import org.apache.flink.table.runtime.typeutils.BinaryRowDataSerializer; +import org.apache.flink.table.store.CoreOptions; +import org.apache.flink.table.store.file.Snapshot; +import org.apache.flink.table.store.file.utils.SnapshotManager; +import org.apache.flink.table.store.table.FileStoreTable; +import org.apache.flink.table.store.table.sink.LogSinkFunction; +import org.apache.flink.table.store.table.sink.SinkRecord; + +import javax.annotation.Nullable; + +import java.io.IOException; +import java.util.ArrayList; +import java.util.HashSet; +import java.util.List; +import java.util.Map; +import java.util.NavigableMap; +import java.util.Optional; +import java.util.Set; +import java.util.TreeMap; + +/** + * A {@link StoreWriteOperator} for {@link + * org.apache.flink.table.store.CoreOptions.ChangelogProducer#FULL_COMPACTION} changelog producer. + */ +public class FullChangelogStoreWriteOperator extends StoreWriteOperator { + + private final long checkpointThreshold; + + private transient Set<Tuple2<BinaryRowData, Integer>> currentWrittenBuckets; + private transient NavigableMap<Long, Set<Tuple2<BinaryRowData, Integer>>> writtenBuckets; + private transient ListState<Tuple3<Long, BinaryRowData, Integer>> writtenBucketState; + private transient Long snapshotIdentifierToCheck; + + public FullChangelogStoreWriteOperator( + FileStoreTable table, + String initialCommitUser, + @Nullable Map<String, String> overwritePartition, + @Nullable LogSinkFunction logSinkFunction, + long checkpointThreshold) { + super(table, initialCommitUser, overwritePartition, logSinkFunction); + this.checkpointThreshold = checkpointThreshold; + } + + @SuppressWarnings("unchecked") + @Override + public void initializeState(StateInitializationContext context) throws Exception { + super.initializeState(context); + + TupleSerializer<Tuple3<Long, BinaryRowData, Integer>> writtenBucketStateSerializer = + new TupleSerializer<>( + (Class<Tuple3<Long, BinaryRowData, Integer>>) (Class<?>) Tuple3.class, + new TypeSerializer[] { + LongSerializer.INSTANCE, + new BinaryRowDataSerializer( + table.schema().logicalPartitionType().getFieldCount()), + IntSerializer.INSTANCE + }); + writtenBucketState = + context.getOperatorStateStore() + .getListState( + new ListStateDescriptor<>( + "table_store_written_buckets", + writtenBucketStateSerializer)); + writtenBuckets = new TreeMap<>(); + writtenBucketState + .get() + .forEach( + t -> + writtenBuckets + .computeIfAbsent(t.f0, k -> new HashSet<>()) + .add(Tuple2.of(t.f1, t.f2))); + + snapshotIdentifierToCheck = null; + } + + @Override + public void open() throws Exception { + super.open(); + currentWrittenBuckets = new HashSet<>(); + } + + @Override + public void processElement(StreamRecord<RowData> element) throws Exception { + SinkRecord record = writeRecord(element); + + BinaryRowData partition = record.partition(); + int bucket = record.bucket(); + // partition is a reused BinaryRowData + // we first check if the tuple exists to minimize copying + if (!currentWrittenBuckets.contains(Tuple2.of(partition, bucket))) { + currentWrittenBuckets.add(Tuple2.of(partition.copy(), bucket)); + } + } + + @Override + public void snapshotState(StateSnapshotContext context) throws Exception { + super.snapshotState(context); + + List<Tuple3<Long, BinaryRowData, Integer>> writtenBucketList = new ArrayList<>(); + for (Map.Entry<Long, Set<Tuple2<BinaryRowData, Integer>>> entry : + writtenBuckets.entrySet()) { + for (Tuple2<BinaryRowData, Integer> bucket : entry.getValue()) { + writtenBucketList.add(Tuple3.of(entry.getKey(), bucket.f0, bucket.f1)); + } + } + writtenBucketState.update(writtenBucketList); + } + + @Override + protected List<Committable> prepareCommit(boolean blocking, long checkpointId) + throws IOException { + if (snapshotIdentifierToCheck != null) { + Optional<Snapshot> snapshot = findSnapshot(snapshotIdentifierToCheck); + if (snapshot.map(s -> s.commitKind() == Snapshot.CommitKind.COMPACT).orElse(false)) { + writtenBuckets.headMap(snapshotIdentifierToCheck, true).clear(); + snapshotIdentifierToCheck = null; + } + } + + if (!currentWrittenBuckets.isEmpty()) { + writtenBuckets + .computeIfAbsent(checkpointId, k -> new HashSet<>()) + .addAll(currentWrittenBuckets); + currentWrittenBuckets.clear(); + } + + if (snapshotIdentifierToCheck == null // wait for last forced full compaction to complete + && !writtenBuckets.isEmpty() // there should be something to compact + && checkpointId - writtenBuckets.navigableKeySet().first() + 1 + >= checkpointThreshold // checkpoints without full compaction exceeds + ) { + blocking = true; + } + + if (blocking) { + snapshotIdentifierToCheck = checkpointId; + Set<Tuple2<BinaryRowData, Integer>> compactedBuckets = new HashSet<>(); + for (Set<Tuple2<BinaryRowData, Integer>> buckets : writtenBuckets.values()) { + for (Tuple2<BinaryRowData, Integer> bucket : buckets) { + if (compactedBuckets.contains(bucket)) { Review Comment: For deduplication. It is possible that the same bucket appears across multiple checkpoints. -- 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: issues-unsubscr...@flink.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
