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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.
*/
package org.apache.cassandra.db.view;
import java.util.*;
import java.util.concurrent.CopyOnWriteArrayList;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicLong;
import com.google.common.collect.Iterables;
import com.google.common.collect.Iterators;
import com.google.common.collect.PeekingIterator;
import org.apache.cassandra.config.CFMetaData;
import org.apache.cassandra.db.*;
import org.apache.cassandra.db.commitlog.CommitLogPosition;
import org.apache.cassandra.db.filter.*;
import org.apache.cassandra.db.rows.*;
import org.apache.cassandra.db.partitions.*;
import org.apache.cassandra.dht.Token;
import org.apache.cassandra.service.StorageProxy;
import org.apache.cassandra.utils.FBUtilities;
import org.apache.cassandra.utils.btree.BTreeSet;
/**
* Groups all the views for a given table.
*/
public class TableViews extends AbstractCollection
{
private final CFMetaData baseTableMetadata;
// We need this to be thread-safe, but the number of times this is changed (when a view is created in the keyspace)
// is massively exceeded by the number of times it's read (for every mutation on the keyspace), so a copy-on-write
// list is the best option.
private final List views = new CopyOnWriteArrayList();
public TableViews(CFMetaData baseTableMetadata)
{
this.baseTableMetadata = baseTableMetadata;
}
public int size()
{
return views.size();
}
public Iterator iterator()
{
return views.iterator();
}
public boolean contains(String viewName)
{
return Iterables.any(views, view -> view.name.equals(viewName));
}
public boolean add(View view)
{
// We should have validated that there is no existing view with this name at this point
assert !contains(view.name);
return views.add(view);
}
public Iterable allViewsCfs()
{
Keyspace keyspace = Keyspace.open(baseTableMetadata.ksName);
return Iterables.transform(views, view -> keyspace.getColumnFamilyStore(view.getDefinition().viewName));
}
public void forceBlockingFlush()
{
for (ColumnFamilyStore viewCfs : allViewsCfs())
viewCfs.forceBlockingFlush();
}
public void dumpMemtables()
{
for (ColumnFamilyStore viewCfs : allViewsCfs())
viewCfs.dumpMemtable();
}
public void truncateBlocking(CommitLogPosition replayAfter, long truncatedAt)
{
for (ColumnFamilyStore viewCfs : allViewsCfs())
{
viewCfs.discardSSTables(truncatedAt);
SystemKeyspace.saveTruncationRecord(viewCfs, truncatedAt, replayAfter);
}
}
public void removeByName(String viewName)
{
views.removeIf(v -> v.name.equals(viewName));
}
/**
* Calculates and pushes updates to the views replicas. The replicas are determined by
* {@link ViewUtils#getViewNaturalEndpoint(String, Token, Token)}.
*
* @param update an update on the base table represented by this object.
* @param writeCommitLog whether we should write the commit log for the view updates.
* @param baseComplete time from epoch in ms that the local base mutation was (or will be) completed
*/
public void pushViewReplicaUpdates(PartitionUpdate update, boolean writeCommitLog, AtomicLong baseComplete)
{
assert update.metadata().cfId.equals(baseTableMetadata.cfId);
Collection views = updatedViews(update);
if (views.isEmpty())
return;
// Read modified rows
int nowInSec = FBUtilities.nowInSeconds();
long queryStartNanoTime = System.nanoTime();
SinglePartitionReadCommand command = readExistingRowsCommand(update, views, nowInSec);
if (command == null)
return;
ColumnFamilyStore cfs = Keyspace.openAndGetStore(update.metadata());
long start = System.nanoTime();
Collection mutations;
try (ReadExecutionController orderGroup = command.executionController();
UnfilteredRowIterator existings = UnfilteredPartitionIterators.getOnlyElement(command.executeLocally(orderGroup), command);
UnfilteredRowIterator updates = update.unfilteredIterator())
{
mutations = Iterators.getOnlyElement(generateViewUpdates(views, updates, existings, nowInSec, false));
}
Keyspace.openAndGetStore(update.metadata()).metric.viewReadTime.update(System.nanoTime() - start, TimeUnit.NANOSECONDS);
if (!mutations.isEmpty())
StorageProxy.mutateMV(update.partitionKey().getKey(), mutations, writeCommitLog, baseComplete, queryStartNanoTime);
}
/**
* Given some updates on the base table of this object and the existing values for the rows affected by that update, generates the
* mutation to be applied to the provided views.
*
* @param views the views potentially affected by {@code updates}.
* @param updates the base table updates being applied.
* @param existings the existing values for the rows affected by {@code updates}. This is used to decide if a view is
* obsoleted by the update and should be removed, gather the values for columns that may not be part of the update if
* a new view entry needs to be created, and compute the minimal updates to be applied if the view entry isn't changed
* but has simply some updated values. This will be empty for view building as we want to assume anything we'll pass
* to {@code updates} is new.
* @param nowInSec the current time in seconds.
* @param separateUpdates, if false, mutation is per partition.
* @return the mutations to apply to the {@code views}. This can be empty.
*/
public Iterator> generateViewUpdates(Collection views,
UnfilteredRowIterator updates,
UnfilteredRowIterator existings,
int nowInSec,
boolean separateUpdates)
{
assert updates.metadata().cfId.equals(baseTableMetadata.cfId);
List generators = new ArrayList<>(views.size());
for (View view : views)
generators.add(new ViewUpdateGenerator(view, updates.partitionKey(), nowInSec));
DeletionTracker existingsDeletion = new DeletionTracker(existings.partitionLevelDeletion());
DeletionTracker updatesDeletion = new DeletionTracker(updates.partitionLevelDeletion());
/*
* We iterate through the updates and the existing rows in parallel. This allows us to know the consequence
* on the view of each update.
*/
PeekingIterator existingsIter = Iterators.peekingIterator(existings);
PeekingIterator updatesIter = Iterators.peekingIterator(updates);
while (existingsIter.hasNext() && updatesIter.hasNext())
{
Unfiltered existing = existingsIter.peek();
Unfiltered update = updatesIter.peek();
Row existingRow;
Row updateRow;
int cmp = baseTableMetadata.comparator.compare(update, existing);
if (cmp < 0)
{
// We have an update where there was nothing before
if (update.isRangeTombstoneMarker())
{
updatesDeletion.update(updatesIter.next());
continue;
}
updateRow = ((Row)updatesIter.next()).withRowDeletion(updatesDeletion.currentDeletion());
existingRow = emptyRow(updateRow.clustering(), existingsDeletion.currentDeletion());
}
else if (cmp > 0)
{
// We have something existing but no update (which will happen either because it's a range tombstone marker in
// existing, or because we've fetched the existing row due to some partition/range deletion in the updates)
if (existing.isRangeTombstoneMarker())
{
existingsDeletion.update(existingsIter.next());
continue;
}
existingRow = ((Row)existingsIter.next()).withRowDeletion(existingsDeletion.currentDeletion());
updateRow = emptyRow(existingRow.clustering(), updatesDeletion.currentDeletion());
// The way we build the read command used for existing rows, we should always have updatesDeletion.currentDeletion()
// that is not live, since we wouldn't have read the existing row otherwise. And we could assert that, but if we ever
// change the read method so that it can slightly over-read in some case, that would be an easily avoiding bug lurking,
// so we just handle the case.
if (updateRow == null)
continue;
}
else
{
// We're updating a row that had pre-existing data
if (update.isRangeTombstoneMarker())
{
assert existing.isRangeTombstoneMarker();
updatesDeletion.update(updatesIter.next());
existingsDeletion.update(existingsIter.next());
continue;
}
assert !existing.isRangeTombstoneMarker();
existingRow = ((Row)existingsIter.next()).withRowDeletion(existingsDeletion.currentDeletion());
updateRow = ((Row)updatesIter.next()).withRowDeletion(updatesDeletion.currentDeletion());
}
addToViewUpdateGenerators(existingRow, updateRow, generators, nowInSec);
}
// We only care about more existing rows if the update deletion isn't live, i.e. if we had a partition deletion
if (!updatesDeletion.currentDeletion().isLive())
{
while (existingsIter.hasNext())
{
Unfiltered existing = existingsIter.next();
// If it's a range tombstone, we don't care, we're only looking for existing entry that gets deleted by
// the new partition deletion
if (existing.isRangeTombstoneMarker())
continue;
Row existingRow = (Row)existing;
addToViewUpdateGenerators(existingRow, emptyRow(existingRow.clustering(), updatesDeletion.currentDeletion()), generators, nowInSec);
}
}
if (separateUpdates)
{
final Collection firstBuild = buildMutations(baseTableMetadata, generators);
return new Iterator>()
{
// If the previous values are already empty, this update must be either empty or exclusively appending.
// In the case we are exclusively appending, we need to drop the build that was passed in and try to build a
// new first update instead.
// If there are no other updates, next will be null and the iterator will be empty.
Collection next = firstBuild.isEmpty()
? buildNext()
: firstBuild;
private Collection buildNext()
{
while (updatesIter.hasNext())
{
Unfiltered update = updatesIter.next();
// If it's a range tombstone, it removes nothing pre-exisiting, so we can ignore it for view updates
if (update.isRangeTombstoneMarker())
continue;
Row updateRow = (Row) update;
addToViewUpdateGenerators(emptyRow(updateRow.clustering(), existingsDeletion.currentDeletion()),
updateRow,
generators,
nowInSec);
// If the updates have been filtered, then we won't have any mutations; we need to make sure that we
// only return if the mutations are empty. Otherwise, we continue to search for an update which is
// not filtered
Collection mutations = buildMutations(baseTableMetadata, generators);
if (!mutations.isEmpty())
return mutations;
}
return null;
}
public boolean hasNext()
{
return next != null;
}
public Collection next()
{
Collection mutations = next;
next = buildNext();
assert !mutations.isEmpty() : "Expected mutations to be non-empty";
return mutations;
}
};
}
else
{
while (updatesIter.hasNext())
{
Unfiltered update = updatesIter.next();
// If it's a range tombstone, it removes nothing pre-exisiting, so we can ignore it for view updates
if (update.isRangeTombstoneMarker())
continue;
Row updateRow = (Row) update;
addToViewUpdateGenerators(emptyRow(updateRow.clustering(), existingsDeletion.currentDeletion()),
updateRow,
generators,
nowInSec);
}
return Iterators.singletonIterator(buildMutations(baseTableMetadata, generators));
}
}
/**
* Return the views that are potentially updated by the provided updates.
*
* @param updates the updates applied to the base table.
* @return the views affected by {@code updates}.
*/
public Collection updatedViews(PartitionUpdate updates)
{
List matchingViews = new ArrayList<>(views.size());
for (View view : views)
{
ReadQuery selectQuery = view.getReadQuery();
if (!selectQuery.selectsKey(updates.partitionKey()))
continue;
matchingViews.add(view);
}
return matchingViews;
}
/**
* Returns the command to use to read the existing rows required to generate view updates for the provided base
* base updates.
*
* @param updates the base table updates being applied.
* @param views the views potentially affected by {@code updates}.
* @param nowInSec the current time in seconds.
* @return the command to use to read the base table rows required to generate view updates for {@code updates}.
*/
private SinglePartitionReadCommand readExistingRowsCommand(PartitionUpdate updates, Collection views, int nowInSec)
{
Slices.Builder sliceBuilder = null;
DeletionInfo deletionInfo = updates.deletionInfo();
CFMetaData metadata = updates.metadata();
DecoratedKey key = updates.partitionKey();
// TODO: This is subtle: we need to gather all the slices that we have to fetch between partition del, range tombstones and rows.
if (!deletionInfo.isLive())
{
sliceBuilder = new Slices.Builder(metadata.comparator);
// Everything covered by a deletion might invalidate an existing view entry, which means we must read it to know. In practice
// though, the views involved might filter some base table clustering columns, in which case we can restrict what we read
// using those restrictions.
// If there is a partition deletion, then we can simply take each slices from each view select filter. They may overlap but
// the Slices.Builder handles that for us. Note that in many case this will just involve reading everything (as soon as any
// view involved has no clustering restrictions for instance).
// For range tombstone, we should theoretically take the difference between the range tombstoned and the slices selected
// by every views, but as we don't an easy way to compute that right now, we keep it simple and just use the tombstoned
// range.
// TODO: we should improve that latter part.
if (!deletionInfo.getPartitionDeletion().isLive())
{
for (View view : views)
sliceBuilder.addAll(view.getSelectStatement().clusteringIndexFilterAsSlices());
}
else
{
assert deletionInfo.hasRanges();
Iterator iter = deletionInfo.rangeIterator(false);
while (iter.hasNext())
sliceBuilder.add(iter.next().deletedSlice());
}
}
// We need to read every row that is updated, unless we can prove that it has no impact on any view entries.
// If we had some slices from the deletions above, we'll continue using that. Otherwise, it's more efficient to build
// a names query.
BTreeSet.Builder namesBuilder = sliceBuilder == null ? BTreeSet.builder(metadata.comparator) : null;
for (Row row : updates)
{
// Don't read the existing state if we can prove the update won't affect any views
if (!affectsAnyViews(key, row, views))
continue;
if (namesBuilder == null)
sliceBuilder.add(Slice.make(row.clustering()));
else
namesBuilder.add(row.clustering());
}
NavigableSet names = namesBuilder == null ? null : namesBuilder.build();
// If we have a slice builder, it means we had some deletions and we have to read. But if we had
// only row updates, it's possible none of them affected the views, in which case we have nothing
// to do.
if (names != null && names.isEmpty())
return null;
ClusteringIndexFilter clusteringFilter = names == null
? new ClusteringIndexSliceFilter(sliceBuilder.build(), false)
: new ClusteringIndexNamesFilter(names, false);
// since unselected columns also affect view liveness, we need to query all base columns if base and view have same key columns.
// If we have more than one view, we should merge the queried columns by each views but to keep it simple we just
// include everything. We could change that in the future.
ColumnFilter queriedColumns = views.size() == 1 && metadata.enforceStrictLiveness()
? Iterables.getOnlyElement(views).getSelectStatement().queriedColumns()
: ColumnFilter.all(metadata);
// Note that the views could have restrictions on regular columns, but even if that's the case we shouldn't apply those
// when we read, because even if an existing row doesn't match the view filter, the update can change that in which
// case we'll need to know the existing content. There is also no easy way to merge those RowFilter when we have multiple views.
// TODO: we could still make sense to special case for when there is a single view and a small number of updates (and
// no deletions). Indeed, in that case we could check whether any of the update modify any of the restricted regular
// column, and if that's not the case we could use view filter. We keep it simple for now though.
RowFilter rowFilter = RowFilter.NONE;
return SinglePartitionReadCommand.create(metadata, nowInSec, queriedColumns, rowFilter, DataLimits.NONE, key, clusteringFilter);
}
private boolean affectsAnyViews(DecoratedKey partitionKey, Row update, Collection views)
{
for (View view : views)
{
if (view.mayBeAffectedBy(partitionKey, update))
return true;
}
return false;
}
/**
* Given an existing base row and the update that we're going to apply to this row, generate the modifications
* to apply to MVs using the provided {@code ViewUpdateGenerator}s.
*
* @param existingBaseRow the base table row as it is before an update.
* @param updateBaseRow the newly updates made to {@code existingBaseRow}.
* @param generators the view update generators to add the new changes to.
* @param nowInSec the current time in seconds. Used to decide if data is live or not.
*/
private static void addToViewUpdateGenerators(Row existingBaseRow, Row updateBaseRow, Collection generators, int nowInSec)
{
// Having existing empty is useful, it just means we'll insert a brand new entry for updateBaseRow,
// but if we have no update at all, we shouldn't get there.
assert !updateBaseRow.isEmpty();
// We allow existingBaseRow to be null, which we treat the same as being empty as an small optimization
// to avoid allocating empty row objects when we know there was nothing existing.
Row mergedBaseRow = existingBaseRow == null ? updateBaseRow : Rows.merge(existingBaseRow, updateBaseRow, nowInSec);
for (ViewUpdateGenerator generator : generators)
generator.addBaseTableUpdate(existingBaseRow, mergedBaseRow);
}
private static Row emptyRow(Clustering clustering, DeletionTime deletion)
{
// Returning null for an empty row is slightly ugly, but the case where there is no pre-existing row is fairly common
// (especially when building the view), so we want to avoid a dummy allocation of an empty row every time.
// And MultiViewUpdateBuilder knows how to deal with that.
return deletion.isLive() ? null : BTreeRow.emptyDeletedRow(clustering, Row.Deletion.regular(deletion));
}
/**
* Extracts (and potentially groups) the mutations generated by the provided view update generator.
* Returns the mutation that needs to be done to the views given the base table updates
* passed to {@link #addBaseTableUpdate}.
*
* @param baseTableMetadata the metadata for the base table being updated.
* @param generators the generators from which to extract the view mutations from.
* @return the mutations created by all the generators in {@code generators}.
*/
private Collection buildMutations(CFMetaData baseTableMetadata, List generators)
{
// One view is probably common enough and we can optimize a bit easily
if (generators.size() == 1)
{
ViewUpdateGenerator generator = generators.get(0);
Collection updates = generator.generateViewUpdates();
List mutations = new ArrayList<>(updates.size());
for (PartitionUpdate update : updates)
mutations.add(new Mutation(update));
generator.clear();
return mutations;
}
Map mutations = new HashMap<>();
for (ViewUpdateGenerator generator : generators)
{
for (PartitionUpdate update : generator.generateViewUpdates())
{
DecoratedKey key = update.partitionKey();
Mutation mutation = mutations.get(key);
if (mutation == null)
{
mutation = new Mutation(baseTableMetadata.ksName, key);
mutations.put(key, mutation);
}
mutation.add(update);
}
generator.clear();
}
return mutations.values();
}
/**
* A simple helper that tracks for a given {@code UnfilteredRowIterator} what is the current deletion at any time of the
* iteration. It will be the currently open range tombstone deletion if there is one and the partition deletion otherwise.
*/
private static class DeletionTracker
{
private final DeletionTime partitionDeletion;
private DeletionTime deletion;
public DeletionTracker(DeletionTime partitionDeletion)
{
this.partitionDeletion = partitionDeletion;
}
public void update(Unfiltered marker)
{
assert marker instanceof RangeTombstoneMarker;
RangeTombstoneMarker rtm = (RangeTombstoneMarker)marker;
this.deletion = rtm.isOpen(false)
? rtm.openDeletionTime(false)
: null;
}
public DeletionTime currentDeletion()
{
return deletion == null ? partitionDeletion : deletion;
}
}
}