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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.
/*
* 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.rows;
import java.nio.ByteBuffer;
import java.util.Objects;
import org.apache.cassandra.db.Digest;
import org.apache.cassandra.db.DeletionPurger;
import org.apache.cassandra.db.TypeSizes;
import org.apache.cassandra.db.context.CounterContext;
import org.apache.cassandra.db.marshal.AbstractType;
import org.apache.cassandra.db.marshal.CollectionType;
import org.apache.cassandra.db.marshal.ValueAccessor;
import org.apache.cassandra.schema.ColumnMetadata;
import org.apache.cassandra.serializers.MarshalException;
import org.apache.cassandra.utils.ByteBufferUtil;
import org.apache.cassandra.utils.memory.ByteBufferCloner;
/**
* Base abstract class for {@code Cell} implementations.
*
* Unless you have a very good reason not to, every cell implementation
* should probably extend this class.
*/
public abstract class AbstractCell extends Cell
{
protected AbstractCell(ColumnMetadata column)
{
super(column);
}
public boolean isCounterCell()
{
return !isTombstone() && column.isCounterColumn();
}
public boolean isLive(int nowInSec)
{
return localDeletionTime() == NO_DELETION_TIME || (ttl() != NO_TTL && nowInSec < localDeletionTime());
}
public boolean isTombstone()
{
return localDeletionTime() != NO_DELETION_TIME && ttl() == NO_TTL;
}
public boolean isExpiring()
{
return ttl() != NO_TTL;
}
public Cell markCounterLocalToBeCleared()
{
if (!isCounterCell())
return this;
ByteBuffer value = buffer();
ByteBuffer marked = CounterContext.instance().markLocalToBeCleared(value);
return marked == value ? this : new BufferCell(column, timestamp(), ttl(), localDeletionTime(), marked, path());
}
public Cell purge(DeletionPurger purger, int nowInSec)
{
if (!isLive(nowInSec))
{
if (purger.shouldPurge(timestamp(), localDeletionTime()))
return null;
// We slightly hijack purging to convert expired but not purgeable columns to tombstones. The reason we do that is
// that once a column has expired it is equivalent to a tombstone but actually using a tombstone is more compact since
// we don't keep the column value. The reason we do it here is that 1) it's somewhat related to dealing with tombstones
// so hopefully not too surprising and 2) we want to this and purging at the same places, so it's simpler/more efficient
// to do both here.
if (isExpiring())
{
// Note that as long as the expiring column and the tombstone put together live longer than GC grace seconds,
// we'll fulfil our responsibility to repair. See discussion at
// http://cassandra-user-incubator-apache-org.3065146.n2.nabble.com/repair-compaction-and-tombstone-rows-td7583481.html
return BufferCell.tombstone(column, timestamp(), localDeletionTime() - ttl(), path()).purge(purger, nowInSec);
}
}
return this;
}
@Override
public Cell clone(ByteBufferCloner cloner)
{
CellPath path = path();
return new BufferCell(column, timestamp(), ttl(), localDeletionTime(), cloner.clone(buffer()), path == null ? null : path.clone(cloner));
}
// note: while the cell returned may be different, the value is the same, so if the value is offheap it must be referenced inside a guarded context (or copied)
public Cell updateAllTimestamp(long newTimestamp)
{
return new BufferCell(column, isTombstone() ? newTimestamp - 1 : newTimestamp, ttl(), localDeletionTime(), buffer(), path());
}
public int dataSize()
{
CellPath path = path();
return TypeSizes.sizeof(timestamp())
+ TypeSizes.sizeof(ttl())
+ TypeSizes.sizeof(localDeletionTime())
+ valueSize()
+ (path == null ? 0 : path.dataSize());
}
public void digest(Digest digest)
{
if (isCounterCell())
digest.updateWithCounterContext(value(), accessor());
else
digest.update(value(), accessor());
digest.updateWithLong(timestamp())
.updateWithInt(ttl())
.updateWithBoolean(isCounterCell());
if (path() != null)
path().digest(digest);
}
public void validate()
{
if (ttl() < 0)
throw new MarshalException("A TTL should not be negative");
if (localDeletionTime() < 0)
throw new MarshalException("A local deletion time should not be negative");
if (isExpiring() && localDeletionTime() == NO_DELETION_TIME)
throw new MarshalException("Shoud not have a TTL without an associated local deletion time");
// non-frozen UDTs require both the cell path & value to validate,
// so that logic is pushed down into ColumnMetadata. Tombstone
// validation is done there too as it also involves the cell path
// for complex columns
column().validateCell(this);
}
public boolean hasInvalidDeletions()
{
if (ttl() < 0 || localDeletionTime() < 0 || (isExpiring() && localDeletionTime() == NO_DELETION_TIME))
return true;
return false;
}
public long maxTimestamp()
{
return timestamp();
}
public static boolean equals(Cell left, Cell right)
{
return left.column().equals(right.column())
&& left.isCounterCell() == right.isCounterCell()
&& left.timestamp() == right.timestamp()
&& left.ttl() == right.ttl()
&& left.localDeletionTime() == right.localDeletionTime()
&& ValueAccessor.equals(left.value(), left.accessor(), right.value(), right.accessor())
&& Objects.equals(left.path(), right.path());
}
@Override
public boolean equals(Object other)
{
if (this == other)
return true;
if(!(other instanceof Cell))
return false;
return equals(this, (Cell) other);
}
@Override
public int hashCode()
{
return Objects.hash(column(), isCounterCell(), timestamp(), ttl(), localDeletionTime(), accessor().hashCode(value()), path());
}
@Override
public String toString()
{
if (isCounterCell())
return String.format("[%s=%d ts=%d]", column().name, CounterContext.instance().total(value(), accessor()), timestamp());
AbstractType type = column().type;
if (type instanceof CollectionType && type.isMultiCell())
{
CollectionType ct = (CollectionType)type;
return String.format("[%s[%s]=%s %s]",
column().name,
ct.nameComparator().getString(path().get(0)),
ct.valueComparator().getString(value(), accessor()),
livenessInfoString());
}
if (isTombstone())
return String.format("[%s= %s]", column().name, livenessInfoString());
else
return String.format("[%s=%s %s]", column().name, safeToString(type), livenessInfoString());
}
private String safeToString(AbstractType type)
{
try
{
return type.getString(value(), accessor());
}
catch (Exception e)
{
return "0x" + ByteBufferUtil.bytesToHex(buffer());
}
}
private String livenessInfoString()
{
if (isExpiring())
return String.format("ts=%d ttl=%d ldt=%d", timestamp(), ttl(), localDeletionTime());
else if (isTombstone())
return String.format("ts=%d ldt=%d", timestamp(), localDeletionTime());
else
return String.format("ts=%d", timestamp());
}
}
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