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The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model.
/*
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* to you under the Apache License, Version 2.0 (the
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*
* http://www.apache.org/licenses/LICENSE-2.0
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* Unless required by applicable law or agreed to in writing, software
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package org.apache.cassandra.service;
import java.net.InetAddress;
import java.util.*;
import java.util.concurrent.TimeoutException;
import org.apache.cassandra.concurrent.Stage;
import org.apache.cassandra.concurrent.StageManager;
import org.apache.cassandra.config.CFMetaData;
import org.apache.cassandra.config.ColumnDefinition;
import org.apache.cassandra.config.DatabaseDescriptor;
import org.apache.cassandra.db.*;
import org.apache.cassandra.db.filter.ClusteringIndexFilter;
import org.apache.cassandra.db.filter.ColumnFilter;
import org.apache.cassandra.db.filter.DataLimits;
import org.apache.cassandra.db.partitions.*;
import org.apache.cassandra.db.rows.*;
import org.apache.cassandra.db.transform.MoreRows;
import org.apache.cassandra.db.transform.Transformation;
import org.apache.cassandra.exceptions.ReadTimeoutException;
import org.apache.cassandra.net.*;
import org.apache.cassandra.tracing.Tracing;
import org.apache.cassandra.utils.FBUtilities;
public class DataResolver extends ResponseResolver
{
private final List repairResults = Collections.synchronizedList(new ArrayList<>());
public DataResolver(Keyspace keyspace, ReadCommand command, ConsistencyLevel consistency, int maxResponseCount)
{
super(keyspace, command, consistency, maxResponseCount);
}
public PartitionIterator getData()
{
ReadResponse response = responses.iterator().next().payload;
return UnfilteredPartitionIterators.filter(response.makeIterator(command), command.nowInSec());
}
public PartitionIterator resolve()
{
// We could get more responses while this method runs, which is ok (we're happy to ignore any response not here
// at the beginning of this method), so grab the response count once and use that through the method.
int count = responses.size();
List iters = new ArrayList<>(count);
InetAddress[] sources = new InetAddress[count];
for (int i = 0; i < count; i++)
{
MessageIn msg = responses.get(i);
iters.add(msg.payload.makeIterator(command));
sources[i] = msg.from;
}
// Even though every responses should honor the limit, we might have more than requested post reconciliation,
// so ensure we're respecting the limit.
DataLimits.Counter counter = command.limits().newCounter(command.nowInSec(), true);
return counter.applyTo(mergeWithShortReadProtection(iters, sources, counter));
}
private PartitionIterator mergeWithShortReadProtection(List results, InetAddress[] sources, DataLimits.Counter resultCounter)
{
// If we have only one results, there is no read repair to do and we can't get short reads
if (results.size() == 1)
return UnfilteredPartitionIterators.filter(results.get(0), command.nowInSec());
UnfilteredPartitionIterators.MergeListener listener = new RepairMergeListener(sources);
// So-called "short reads" stems from nodes returning only a subset of the results they have for a partition due to the limit,
// but that subset not being enough post-reconciliation. So if we don't have limit, don't bother.
if (!command.limits().isUnlimited())
{
for (int i = 0; i < results.size(); i++)
results.set(i, Transformation.apply(results.get(i), new ShortReadProtection(sources[i], resultCounter)));
}
return UnfilteredPartitionIterators.mergeAndFilter(results, command.nowInSec(), listener);
}
private class RepairMergeListener implements UnfilteredPartitionIterators.MergeListener
{
private final InetAddress[] sources;
public RepairMergeListener(InetAddress[] sources)
{
this.sources = sources;
}
public UnfilteredRowIterators.MergeListener getRowMergeListener(DecoratedKey partitionKey, List versions)
{
return new MergeListener(partitionKey, columns(versions), isReversed(versions));
}
private PartitionColumns columns(List versions)
{
Columns statics = Columns.NONE;
Columns regulars = Columns.NONE;
for (UnfilteredRowIterator iter : versions)
{
if (iter == null)
continue;
PartitionColumns cols = iter.columns();
statics = statics.mergeTo(cols.statics);
regulars = regulars.mergeTo(cols.regulars);
}
return new PartitionColumns(statics, regulars);
}
private boolean isReversed(List versions)
{
for (UnfilteredRowIterator iter : versions)
{
if (iter == null)
continue;
// Everything will be in the same order
return iter.isReverseOrder();
}
assert false : "Expected at least one iterator";
return false;
}
public void close()
{
try
{
FBUtilities.waitOnFutures(repairResults, DatabaseDescriptor.getWriteRpcTimeout());
}
catch (TimeoutException ex)
{
// We got all responses, but timed out while repairing
int blockFor = consistency.blockFor(keyspace);
if (Tracing.isTracing())
Tracing.trace("Timed out while read-repairing after receiving all {} data and digest responses", blockFor);
else
logger.debug("Timeout while read-repairing after receiving all {} data and digest responses", blockFor);
throw new ReadTimeoutException(consistency, blockFor-1, blockFor, true);
}
}
private class MergeListener implements UnfilteredRowIterators.MergeListener
{
private final DecoratedKey partitionKey;
private final PartitionColumns columns;
private final boolean isReversed;
private final PartitionUpdate[] repairs = new PartitionUpdate[sources.length];
private final Row.Builder[] currentRows = new Row.Builder[sources.length];
private final RowDiffListener diffListener;
// The partition level deletion for the merge row.
private DeletionTime partitionLevelDeletion;
// When merged has a currently open marker, its time. null otherwise.
private DeletionTime mergedDeletionTime;
// For each source, the time of the current deletion as known by the source.
private final DeletionTime[] sourceDeletionTime = new DeletionTime[sources.length];
// For each source, record if there is an open range to send as repair, and from where.
private final ClusteringBound[] markerToRepair = new ClusteringBound[sources.length];
public MergeListener(DecoratedKey partitionKey, PartitionColumns columns, boolean isReversed)
{
this.partitionKey = partitionKey;
this.columns = columns;
this.isReversed = isReversed;
this.diffListener = new RowDiffListener()
{
public void onPrimaryKeyLivenessInfo(int i, Clustering clustering, LivenessInfo merged, LivenessInfo original)
{
if (merged != null && !merged.equals(original))
currentRow(i, clustering).addPrimaryKeyLivenessInfo(merged);
}
public void onDeletion(int i, Clustering clustering, Row.Deletion merged, Row.Deletion original)
{
if (merged != null && !merged.equals(original))
currentRow(i, clustering).addRowDeletion(merged);
}
public void onComplexDeletion(int i, Clustering clustering, ColumnDefinition column, DeletionTime merged, DeletionTime original)
{
if (merged != null && !merged.equals(original))
currentRow(i, clustering).addComplexDeletion(column, merged);
}
public void onCell(int i, Clustering clustering, Cell merged, Cell original)
{
if (merged != null && !merged.equals(original) && isQueried(merged))
currentRow(i, clustering).addCell(merged);
}
private boolean isQueried(Cell cell)
{
// When we read, we may have some cell that have been fetched but are not selected by the user. Those cells may
// have empty values as optimization (see CASSANDRA-10655) and hence they should not be included in the read-repair.
// This is fine since those columns are not actually requested by the user and are only present for the sake of CQL
// semantic (making sure we can always distinguish between a row that doesn't exist from one that do exist but has
/// no value for the column requested by the user) and so it won't be unexpected by the user that those columns are
// not repaired.
ColumnDefinition column = cell.column();
ColumnFilter filter = command.columnFilter();
return column.isComplex() ? filter.fetchedCellIsQueried(column, cell.path()) : filter.fetchedColumnIsQueried(column);
}
};
}
private PartitionUpdate update(int i)
{
if (repairs[i] == null)
repairs[i] = new PartitionUpdate(command.metadata(), partitionKey, columns, 1);
return repairs[i];
}
private Row.Builder currentRow(int i, Clustering clustering)
{
if (currentRows[i] == null)
{
currentRows[i] = BTreeRow.sortedBuilder();
currentRows[i].newRow(clustering);
}
return currentRows[i];
}
public void onMergedPartitionLevelDeletion(DeletionTime mergedDeletion, DeletionTime[] versions)
{
this.partitionLevelDeletion = mergedDeletion;
for (int i = 0; i < versions.length; i++)
{
if (mergedDeletion.supersedes(versions[i]))
update(i).addPartitionDeletion(mergedDeletion);
}
}
public void onMergedRows(Row merged, Row[] versions)
{
// If a row was shadowed post merged, it must be by a partition level or range tombstone, and we handle
// those case directly in their respective methods (in other words, it would be inefficient to send a row
// deletion as repair when we know we've already send a partition level or range tombstone that covers it).
if (merged.isEmpty())
return;
Rows.diff(diffListener, merged, versions);
for (int i = 0; i < currentRows.length; i++)
{
if (currentRows[i] != null)
update(i).add(currentRows[i].build());
}
Arrays.fill(currentRows, null);
}
private DeletionTime currentDeletion()
{
return mergedDeletionTime == null ? partitionLevelDeletion : mergedDeletionTime;
}
public void onMergedRangeTombstoneMarkers(RangeTombstoneMarker merged, RangeTombstoneMarker[] versions)
{
// The current deletion as of dealing with this marker.
DeletionTime currentDeletion = currentDeletion();
for (int i = 0; i < versions.length; i++)
{
RangeTombstoneMarker marker = versions[i];
// Update what the source now thinks is the current deletion
if (marker != null)
sourceDeletionTime[i] = marker.isOpen(isReversed) ? marker.openDeletionTime(isReversed) : null;
// If merged == null, some of the source is opening or closing a marker
if (merged == null)
{
// but if it's not this source, move to the next one
if (marker == null)
continue;
// We have a close and/or open marker for a source, with nothing corresponding in merged.
// Because merged is a superset, this imply that we have a current deletion (being it due to an
// early opening in merged or a partition level deletion) and that this deletion will still be
// active after that point. Further whatever deletion was open or is open by this marker on the
// source, that deletion cannot supersedes the current one.
//
// What we want to know here is if the source deletion and merged deletion was or will be equal,
// because in that case we don't want to include any repair for the source, and otherwise we do.
//
// Note further that if the marker is a boundary, as both side of that boundary will have a
// different deletion time, only one side might be equal to the merged deletion. This means we
// can only be in one of 2 cases:
// 1) the source was up-to-date on deletion up to that point (markerToRepair[i] == null), and then
// it won't be from that point on.
// 2) the source wasn't up-to-date on deletion up to that point (markerToRepair[i] != null), and
// it may now be (if it isn't we just have nothing to do for that marker).
assert !currentDeletion.isLive();
if (markerToRepair[i] == null)
{
// Since there is an ongoing merged deletion, the only way we don't have an open repair for
// this source is that it had a range open with the same deletion as current and it's
// closing it. This imply we need to open a deletion for the source from that point.
assert marker.isClose(isReversed) && currentDeletion.equals(marker.closeDeletionTime(isReversed));
assert !marker.isOpen(isReversed) || currentDeletion.supersedes(marker.openDeletionTime(isReversed));
markerToRepair[i] = marker.closeBound(isReversed).invert();
}
// In case 2) above, we only have something to do if the source is up-to-date after that point
else if (marker.isOpen(isReversed) && currentDeletion.equals(marker.openDeletionTime(isReversed)))
{
closeOpenMarker(i, marker.openBound(isReversed).invert());
}
}
else
{
// We have a change of current deletion in merged (potentially to/from no deletion at all).
if (merged.isClose(isReversed))
{
// We're closing the merged range. If we're recorded that this should be repaird for the
// source, close and add said range to the repair to send.
if (markerToRepair[i] != null)
closeOpenMarker(i, merged.closeBound(isReversed));
}
if (merged.isOpen(isReversed))
{
// If we're opening a new merged range (or just switching deletion), then unless the source
// is up to date on that deletion (note that we've updated what the source deleteion is
// above), we'll have to sent the range to the source.
DeletionTime newDeletion = merged.openDeletionTime(isReversed);
DeletionTime sourceDeletion = sourceDeletionTime[i];
if (!newDeletion.equals(sourceDeletion))
markerToRepair[i] = merged.openBound(isReversed);
}
}
}
if (merged != null)
mergedDeletionTime = merged.isOpen(isReversed) ? merged.openDeletionTime(isReversed) : null;
}
private void closeOpenMarker(int i, ClusteringBound close)
{
ClusteringBound open = markerToRepair[i];
update(i).add(new RangeTombstone(Slice.make(isReversed ? close : open, isReversed ? open : close), currentDeletion()));
markerToRepair[i] = null;
}
public void close()
{
for (int i = 0; i < repairs.length; i++)
{
if (repairs[i] == null)
continue;
// use a separate verb here because we don't want these to be get the white glove hint-
// on-timeout behavior that a "real" mutation gets
Tracing.trace("Sending read-repair-mutation to {}", sources[i]);
MessageOut msg = new Mutation(repairs[i]).createMessage(MessagingService.Verb.READ_REPAIR);
repairResults.add(MessagingService.instance().sendRR(msg, sources[i]));
}
}
}
}
private class ShortReadProtection extends Transformation
{
private final InetAddress source;
private final DataLimits.Counter counter;
private final DataLimits.Counter postReconciliationCounter;
private ShortReadProtection(InetAddress source, DataLimits.Counter postReconciliationCounter)
{
this.source = source;
this.counter = command.limits().newCounter(command.nowInSec(), false).onlyCount();
this.postReconciliationCounter = postReconciliationCounter;
}
@Override
public UnfilteredRowIterator applyToPartition(UnfilteredRowIterator partition)
{
partition = Transformation.apply(partition, counter);
// must apply and extend with same protection instance
ShortReadRowProtection protection = new ShortReadRowProtection(partition.metadata(), partition.partitionKey());
partition = MoreRows.extend(partition, protection);
partition = Transformation.apply(partition, protection); // apply after, so it is retained when we extend (in case we need to reextend)
return partition;
}
private class ShortReadRowProtection extends Transformation implements MoreRows
{
final CFMetaData metadata;
final DecoratedKey partitionKey;
Clustering lastClustering;
int lastCount = 0;
private ShortReadRowProtection(CFMetaData metadata, DecoratedKey partitionKey)
{
this.metadata = metadata;
this.partitionKey = partitionKey;
}
@Override
public Row applyToRow(Row row)
{
lastClustering = row.clustering();
return row;
}
@Override
public UnfilteredRowIterator moreContents()
{
// We have a short read if the node this is the result of has returned the requested number of
// rows for that partition (i.e. it has stopped returning results due to the limit), but some of
// those results haven't made it in the final result post-reconciliation due to other nodes
// tombstones. If that is the case, then the node might have more results that we should fetch
// as otherwise we might return less results than required, or results that shouldn't be returned
// (because the node has tombstone that hides future results from other nodes but that haven't
// been returned due to the limit).
// Also note that we only get here once all the results for this node have been returned, and so
// if the node had returned the requested number but we still get there, it imply some results were
// skipped during reconciliation.
if (lastCount == counter.counted() || !counter.isDoneForPartition())
return null;
lastCount = counter.counted();
assert !postReconciliationCounter.isDoneForPartition();
// We need to try to query enough additional results to fulfill our query, but because we could still
// get short reads on that additional query, just querying the number of results we miss may not be
// enough. But we know that when this node answered n rows (counter.countedInCurrentPartition), only
// x rows (postReconciliationCounter.countedInCurrentPartition()) made it in the final result.
// So our ratio of live rows to requested rows is x/n, so since we miss n-x rows, we estimate that
// we should request m rows so that m * x/n = n-x, that is m = (n^2/x) - n.
// Also note that it's ok if we retrieve more results that necessary since our top level iterator is a
// counting iterator.
int n = postReconciliationCounter.countedInCurrentPartition();
int x = counter.countedInCurrentPartition();
int toQuery = Math.max(((n * n) / x) - n, 1);
DataLimits retryLimits = command.limits().forShortReadRetry(toQuery);
ClusteringIndexFilter filter = command.clusteringIndexFilter(partitionKey);
ClusteringIndexFilter retryFilter = lastClustering == null ? filter : filter.forPaging(metadata.comparator, lastClustering, false);
SinglePartitionReadCommand cmd = SinglePartitionReadCommand.create(command.metadata(),
command.nowInSec(),
command.columnFilter(),
command.rowFilter(),
retryLimits,
partitionKey,
retryFilter);
return doShortReadRetry(cmd);
}
private UnfilteredRowIterator doShortReadRetry(SinglePartitionReadCommand retryCommand)
{
DataResolver resolver = new DataResolver(keyspace, retryCommand, ConsistencyLevel.ONE, 1);
ReadCallback handler = new ReadCallback(resolver, ConsistencyLevel.ONE, retryCommand, Collections.singletonList(source));
if (StorageProxy.canDoLocalRequest(source))
StageManager.getStage(Stage.READ).maybeExecuteImmediately(new StorageProxy.LocalReadRunnable(retryCommand, handler));
else
MessagingService.instance().sendRRWithFailure(retryCommand.createMessage(MessagingService.current_version), source, handler);
// We don't call handler.get() because we want to preserve tombstones since we're still in the middle of merging node results.
handler.awaitResults();
assert resolver.responses.size() == 1;
return UnfilteredPartitionIterators.getOnlyElement(resolver.responses.get(0).payload.makeIterator(command), retryCommand);
}
}
}
public boolean isDataPresent()
{
return !responses.isEmpty();
}
}