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...main/java/org/apache/ignite/internal/partition/replicator/raft/OnSnapshotSaveHandler.java
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| /* | ||
| * 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. | ||
| */ | ||
|
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| package org.apache.ignite.internal.partition.replicator.raft; | ||
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| import static java.lang.Math.max; | ||
| import static java.util.concurrent.CompletableFuture.allOf; | ||
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| import java.util.Collection; | ||
| import java.util.concurrent.CompletableFuture; | ||
| import java.util.stream.Stream; | ||
| import org.apache.ignite.internal.raft.service.RaftGroupListener; | ||
| import org.apache.ignite.internal.tx.storage.state.TxStatePartitionStorage; | ||
| import org.apache.ignite.internal.util.PendingComparableValuesTracker; | ||
| import org.apache.ignite.internal.util.TrackerClosedException; | ||
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|
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| /** | ||
| * Handler for the {@link RaftGroupListener#onSnapshotSave} event. | ||
| */ | ||
| public class OnSnapshotSaveHandler { | ||
| private final TxStatePartitionStorage txStatePartitionStorage; | ||
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| private final PendingComparableValuesTracker<Long, Void> storageIndexTracker; | ||
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| public OnSnapshotSaveHandler( | ||
| TxStatePartitionStorage txStatePartitionStorage, | ||
| PendingComparableValuesTracker<Long, Void> storageIndexTracker | ||
| ) { | ||
| this.txStatePartitionStorage = txStatePartitionStorage; | ||
| this.storageIndexTracker = storageIndexTracker; | ||
| } | ||
|
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| /** | ||
| * Called when {@link RaftGroupListener#onSnapshotSave} is triggered. | ||
| */ | ||
| public CompletableFuture<Void> onSnapshotSave(Collection<RaftTableProcessor> tableProcessors) { | ||
| // The max index here is required for local recovery and a possible scenario | ||
| // of false node failure when we actually have all required data. This might happen because we use the minimal index | ||
| // among storages on a node restart. | ||
| // Let's consider a more detailed example: | ||
| // 1) We don't propagate the maximal lastAppliedIndex among storages, and onSnapshotSave finishes, it leads to the raft log | ||
| // truncation until the maximal lastAppliedIndex. | ||
| // 2) Unexpected cluster restart happens. | ||
| // 3) Local recovery of a node is started, where we request data from the minimal lastAppliedIndex among storages, because | ||
| // some data for some node might not have been flushed before unexpected cluster restart. | ||
| // 4) When we try to restore data starting from the minimal lastAppliedIndex, we come to the situation | ||
| // that a raft node doesn't have such data, because the truncation until the maximal lastAppliedIndex from 1) has happened. | ||
| // 5) Node cannot finish local recovery. | ||
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| long maxPartitionLastAppliedIndex = tableProcessors.stream() | ||
| .mapToLong(RaftTableProcessor::lastAppliedIndex) | ||
| .max() | ||
| .orElse(0); | ||
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| long maxPartitionLastAppliedTerm = tableProcessors.stream() | ||
| .mapToLong(RaftTableProcessor::lastAppliedTerm) | ||
| .max() | ||
| .orElse(0); | ||
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| long maxLastAppliedIndex = max(maxPartitionLastAppliedIndex, txStatePartitionStorage.lastAppliedIndex()); | ||
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| long maxLastAppliedTerm = max(maxPartitionLastAppliedTerm, txStatePartitionStorage.lastAppliedTerm()); | ||
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| tableProcessors.forEach(processor -> processor.lastApplied(maxLastAppliedIndex, maxLastAppliedTerm)); | ||
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| txStatePartitionStorage.lastApplied(maxLastAppliedIndex, maxLastAppliedTerm); | ||
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| updateTrackerIgnoringTrackerClosedException(storageIndexTracker, maxLastAppliedIndex); | ||
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| Stream<CompletableFuture<?>> flushFutures = Stream.concat( | ||
| tableProcessors.stream().map(RaftTableProcessor::flushStorage), | ||
| Stream.of(txStatePartitionStorage.flush()) | ||
| ); | ||
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| return allOf(flushFutures.toArray(CompletableFuture[]::new)); | ||
| } | ||
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| private static <T extends Comparable<T>> void updateTrackerIgnoringTrackerClosedException( | ||
| PendingComparableValuesTracker<T, Void> tracker, | ||
| T newValue | ||
| ) { | ||
| try { | ||
| tracker.update(newValue, null); | ||
| } catch (TrackerClosedException ignored) { | ||
| // No-op. | ||
| } | ||
| } | ||
| } |
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