org.apache.cassandra.db.AtomicSortedColumns Maven / Gradle / Ivy
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* Licensed to the Apache Software Foundation (ASF) under one
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* 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;
import java.nio.ByteBuffer;
import java.util.*;
import java.util.concurrent.atomic.AtomicReference;
import com.google.common.base.Function;
import com.google.common.collect.Iterables;
import edu.stanford.ppl.concurrent.SnapTreeMap;
import org.apache.cassandra.config.CFMetaData;
import org.apache.cassandra.db.filter.ColumnSlice;
import org.apache.cassandra.db.index.SecondaryIndexManager;
import org.apache.cassandra.db.marshal.AbstractType;
import org.apache.cassandra.utils.Allocator;
/**
* A thread-safe and atomic ISortedColumns implementation.
* Operations (in particular addAll) on this implemenation are atomic and
* isolated (in the sense of ACID). Typically a addAll is guaranteed that no
* other thread can see the state where only parts but not all columns have
* been added.
*
* The implementation uses snaptree (https://github.com/nbronson/snaptree),
* and in particular it's copy-on-write clone operation to achieve its
* atomicity guarantee.
*
* WARNING: removing element through getSortedColumns().iterator() is *not*
* isolated of other operations and could actually be fully ignored in the
* face of a concurrent. Don't use it unless in a non-concurrent context.
*/
public class AtomicSortedColumns extends ColumnFamily
{
private final AtomicReference ref;
public static final ColumnFamily.Factory factory = new Factory()
{
public AtomicSortedColumns create(CFMetaData metadata, boolean insertReversed)
{
return new AtomicSortedColumns(metadata);
}
};
private AtomicSortedColumns(CFMetaData metadata)
{
this(metadata, new Holder(metadata.comparator));
}
private AtomicSortedColumns(CFMetaData metadata, Holder holder)
{
super(metadata);
this.ref = new AtomicReference<>(holder);
}
public AbstractType getComparator()
{
return (AbstractType)ref.get().map.comparator();
}
public ColumnFamily.Factory getFactory()
{
return factory;
}
public ColumnFamily cloneMe()
{
return new AtomicSortedColumns(metadata, ref.get().cloneMe());
}
public DeletionInfo deletionInfo()
{
return ref.get().deletionInfo;
}
public void delete(DeletionTime delTime)
{
delete(new DeletionInfo(delTime));
}
protected void delete(RangeTombstone tombstone)
{
delete(new DeletionInfo(tombstone, getComparator()));
}
public void delete(DeletionInfo info)
{
if (info.isLive())
return;
// Keeping deletion info for max markedForDeleteAt value
while (true)
{
Holder current = ref.get();
DeletionInfo newDelInfo = current.deletionInfo.copy().add(info);
if (ref.compareAndSet(current, current.with(newDelInfo)))
break;
}
}
public void setDeletionInfo(DeletionInfo newInfo)
{
ref.set(ref.get().with(newInfo));
}
public void purgeTombstones(int gcBefore)
{
while (true)
{
Holder current = ref.get();
if (!current.deletionInfo.hasPurgeableTombstones(gcBefore))
break;
DeletionInfo purgedInfo = current.deletionInfo.copy();
purgedInfo.purge(gcBefore);
if (ref.compareAndSet(current, current.with(purgedInfo)))
break;
}
}
public void addColumn(Column column, Allocator allocator)
{
Holder current, modified;
do
{
current = ref.get();
modified = current.cloneMe();
modified.addColumn(column, allocator, SecondaryIndexManager.nullUpdater);
}
while (!ref.compareAndSet(current, modified));
}
public void addAll(ColumnFamily cm, Allocator allocator, Function transformation)
{
addAllWithSizeDelta(cm, allocator, transformation, SecondaryIndexManager.nullUpdater);
}
/**
* This is only called by Memtable.resolve, so only AtomicSortedColumns needs to implement it.
*
* @return the difference in size seen after merging the given columns
*/
public long addAllWithSizeDelta(ColumnFamily cm, Allocator allocator, Function transformation, SecondaryIndexManager.Updater indexer)
{
/*
* This operation needs to atomicity and isolation. To that end, we
* add the new column to a copy of the map (a cheap O(1) snapTree
* clone) and atomically compare and swap when everything has been
* added. Of course, we must not forget to update the deletion times
* too.
* In case we are adding a lot of columns, failing the final compare
* and swap could be expensive. To mitigate, we check we haven't been
* beaten by another thread after every column addition. If we have,
* we bail early, avoiding unnecessary work if possible.
*/
Holder current, modified;
long sizeDelta;
main_loop:
do
{
sizeDelta = 0;
current = ref.get();
DeletionInfo newDelInfo = current.deletionInfo;
if (cm.deletionInfo().mayModify(newDelInfo))
{
newDelInfo = current.deletionInfo.copy().add(cm.deletionInfo());
sizeDelta += newDelInfo.dataSize() - current.deletionInfo.dataSize();
}
modified = new Holder(current.map.clone(), newDelInfo);
if (cm.deletionInfo().hasRanges())
{
for (Column currentColumn : Iterables.concat(current.map.values(), cm))
{
if (cm.deletionInfo().isDeleted(currentColumn))
indexer.remove(currentColumn);
}
}
for (Column column : cm)
{
sizeDelta += modified.addColumn(transformation.apply(column), allocator, indexer);
// bail early if we know we've been beaten
if (ref.get() != current)
continue main_loop;
}
}
while (!ref.compareAndSet(current, modified));
indexer.updateRowLevelIndexes();
return sizeDelta;
}
public boolean replace(Column oldColumn, Column newColumn)
{
if (!oldColumn.name().equals(newColumn.name()))
throw new IllegalArgumentException();
Holder current, modified;
boolean replaced;
do
{
current = ref.get();
modified = current.cloneMe();
replaced = modified.map.replace(oldColumn.name(), oldColumn, newColumn);
}
while (!ref.compareAndSet(current, modified));
return replaced;
}
public void clear()
{
Holder current, modified;
do
{
current = ref.get();
modified = current.clear();
}
while (!ref.compareAndSet(current, modified));
}
public Column getColumn(ByteBuffer name)
{
return ref.get().map.get(name);
}
public SortedSet getColumnNames()
{
return ref.get().map.keySet();
}
public Collection getSortedColumns()
{
return ref.get().map.values();
}
public Collection getReverseSortedColumns()
{
return ref.get().map.descendingMap().values();
}
public int getColumnCount()
{
return ref.get().map.size();
}
public Iterator iterator(ColumnSlice[] slices)
{
return new ColumnSlice.NavigableMapIterator(ref.get().map, slices);
}
public Iterator reverseIterator(ColumnSlice[] slices)
{
return new ColumnSlice.NavigableMapIterator(ref.get().map.descendingMap(), slices);
}
public boolean isInsertReversed()
{
return false;
}
private static class Holder
{
// This is a small optimization: DeletionInfo is mutable, but we know that we will always copy it in that class,
// so we can safely alias one DeletionInfo.live() reference and avoid some allocations.
private static final DeletionInfo LIVE = DeletionInfo.live();
final SnapTreeMap map;
final DeletionInfo deletionInfo;
Holder(AbstractType comparator)
{
this(new SnapTreeMap(comparator), LIVE);
}
Holder(SnapTreeMap map, DeletionInfo deletionInfo)
{
this.map = map;
this.deletionInfo = deletionInfo;
}
Holder cloneMe()
{
return with(map.clone());
}
Holder with(DeletionInfo info)
{
return new Holder(map, info);
}
Holder with(SnapTreeMap newMap)
{
return new Holder(newMap, deletionInfo);
}
// There is no point in cloning the underlying map to clear it
// afterwards.
Holder clear()
{
return new Holder(new SnapTreeMap(map.comparator()), LIVE);
}
long addColumn(Column column, Allocator allocator, SecondaryIndexManager.Updater indexer)
{
ByteBuffer name = column.name();
while (true)
{
Column oldColumn = map.putIfAbsent(name, column);
if (oldColumn == null)
{
indexer.insert(column);
return column.dataSize();
}
Column reconciledColumn = column.reconcile(oldColumn, allocator);
if (map.replace(name, oldColumn, reconciledColumn))
{
indexer.update(oldColumn, reconciledColumn);
return reconciledColumn.dataSize() - oldColumn.dataSize();
}
// We failed to replace column due to a concurrent update or a concurrent removal. Keep trying.
// (Currently, concurrent removal should not happen (only updates), but let us support that anyway.)
}
}
}
}
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