org.apache.hudi.client.transaction.SimpleConcurrentFileWritesConflictResolutionStrategy Maven / Gradle / Ivy
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package org.apache.hudi.client.transaction;
import org.apache.hudi.common.model.HoodieCommitMetadata;
import org.apache.hudi.common.model.WriteOperationType;
import org.apache.hudi.common.table.HoodieTableMetaClient;
import org.apache.hudi.common.table.timeline.HoodieActiveTimeline;
import org.apache.hudi.common.table.timeline.HoodieInstant;
import org.apache.hudi.common.table.timeline.HoodieTimeline;
import org.apache.hudi.common.util.CollectionUtils;
import org.apache.hudi.common.util.Option;
import org.apache.hudi.common.util.collection.Pair;
import org.apache.hudi.exception.HoodieWriteConflictException;
import org.apache.hudi.table.HoodieTable;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.ConcurrentModificationException;
import java.util.HashSet;
import java.util.Set;
import java.util.stream.Stream;
import static org.apache.hudi.common.table.timeline.HoodieTimeline.COMPACTION_ACTION;
import static org.apache.hudi.common.table.timeline.HoodieTimeline.REPLACE_COMMIT_ACTION;
/**
* This class is a basic implementation of a conflict resolution strategy for concurrent writes {@link ConflictResolutionStrategy}.
*/
public class SimpleConcurrentFileWritesConflictResolutionStrategy
implements ConflictResolutionStrategy {
private static final Logger LOG = LoggerFactory.getLogger(SimpleConcurrentFileWritesConflictResolutionStrategy.class);
@Override
public Stream getCandidateInstants(HoodieTableMetaClient metaClient, HoodieInstant currentInstant,
Option lastSuccessfulInstant) {
HoodieActiveTimeline activeTimeline = metaClient.getActiveTimeline();
// To find which instants are conflicting, we apply the following logic
// 1. Get completed instants timeline only for commits that have happened since the last successful write.
// 2. Get any scheduled or completed compaction or clustering operations that have started and/or finished
// after the current instant. We need to check for write conflicts since they may have mutated the same files
// that are being newly created by the current write.
Stream completedCommitsInstantStream = activeTimeline
.getCommitsTimeline()
.filterCompletedInstants()
.findInstantsAfter(lastSuccessfulInstant.isPresent() ? lastSuccessfulInstant.get().getTimestamp() : HoodieTimeline.INIT_INSTANT_TS)
.getInstantsAsStream();
Stream compactionAndClusteringPendingTimeline = activeTimeline
.getTimelineOfActions(CollectionUtils.createSet(REPLACE_COMMIT_ACTION, COMPACTION_ACTION))
.findInstantsAfter(currentInstant.getTimestamp())
.filterInflightsAndRequested()
.getInstantsAsStream();
return Stream.concat(completedCommitsInstantStream, compactionAndClusteringPendingTimeline);
}
@Override
public boolean hasConflict(ConcurrentOperation thisOperation, ConcurrentOperation otherOperation) {
// TODO : UUID's can clash even for insert/insert, handle that case.
Set> partitionAndFileIdsSetForFirstInstant = thisOperation.getMutatedPartitionAndFileIds();
Set> partitionAndFileIdsSetForSecondInstant = otherOperation.getMutatedPartitionAndFileIds();
Set> intersection = new HashSet<>(partitionAndFileIdsSetForFirstInstant);
intersection.retainAll(partitionAndFileIdsSetForSecondInstant);
if (!intersection.isEmpty()) {
LOG.info("Found conflicting writes between first operation = " + thisOperation
+ ", second operation = " + otherOperation + " , intersecting file ids " + intersection);
return true;
}
return false;
}
@Override
public Option resolveConflict(HoodieTable table,
ConcurrentOperation thisOperation, ConcurrentOperation otherOperation) {
// A completed COMPACTION action eventually shows up as a COMMIT action on the timeline.
// We need to ensure we handle this during conflict resolution and not treat the commit from a
// compaction operation as a regular commit. Regular commits & deltacommits are candidates for conflict.
// Since the REPLACE action with CLUSTER operation does not support concurrent updates, we have
// to consider it as conflict if we see overlapping file ids. Once concurrent updates are
// supported for CLUSTER (https://issues.apache.org/jira/browse/HUDI-1042),
// add that to the below check so that concurrent updates do not conflict.
if (otherOperation.getOperationType() == WriteOperationType.COMPACT) {
if (HoodieTimeline.compareTimestamps(otherOperation.getInstantTimestamp(), HoodieTimeline.LESSER_THAN, thisOperation.getInstantTimestamp())) {
return thisOperation.getCommitMetadataOption();
}
} else if (HoodieTimeline.LOG_COMPACTION_ACTION.equals(thisOperation.getInstantActionType())) {
// Since log compaction is a rewrite operation, it can be committed along with other delta commits.
// The ordering of the commits is taken care by AbstractHoodieLogRecordReader scan method.
// Conflict arises only if the log compaction commit has a lesser timestamp compared to compaction commit.
return thisOperation.getCommitMetadataOption();
}
// just abort the current write if conflicts are found
throw new HoodieWriteConflictException(new ConcurrentModificationException("Cannot resolve conflicts for overlapping writes"));
}
@Override
public boolean isPreCommitRequired() {
return false;
}
}