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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.virtual;
import java.nio.ByteBuffer;
import java.util.List;
import java.util.Optional;
import com.google.common.base.Preconditions;
import com.google.common.collect.BoundType;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.Range;
import org.apache.commons.lang3.ArrayUtils;
import org.apache.cassandra.db.Clustering;
import org.apache.cassandra.db.ClusteringBound;
import org.apache.cassandra.db.ClusteringPrefix;
import org.apache.cassandra.db.DecoratedKey;
import org.apache.cassandra.db.Slice;
import org.apache.cassandra.db.marshal.CompositeType;
import org.apache.cassandra.db.partitions.PartitionUpdate;
import org.apache.cassandra.db.rows.Cell;
import org.apache.cassandra.schema.ColumnMetadata;
import org.apache.cassandra.schema.TableMetadata;
import static org.apache.cassandra.cql3.statements.RequestValidations.checkFalse;
import static org.apache.cassandra.cql3.statements.RequestValidations.invalidRequest;
/**
* An abstract virtual table implementation that builds the resultset on demand and allows fine-grained source
* modification via INSERT/UPDATE, DELETE and TRUNCATE operations.
*
* Virtual table implementation need to be thread-safe has they can be called from different threads.
*/
public abstract class AbstractMutableVirtualTable extends AbstractVirtualTable
{
protected AbstractMutableVirtualTable(TableMetadata metadata)
{
super(metadata);
}
@Override
public final void apply(PartitionUpdate update)
{
ColumnValues partitionKey = ColumnValues.from(metadata(), update.partitionKey());
if (update.deletionInfo().isLive())
update.forEach(row ->
{
ColumnValues clusteringColumns = ColumnValues.from(metadata(), row.clustering());
if (row.deletion().isLive())
{
if (row.columnCount() == 0)
{
applyColumnUpdate(partitionKey, clusteringColumns, Optional.empty());
}
else
{
row.forEach(columnData ->
{
checkFalse(columnData.column().isComplex(), "Complex type columns are not supported by table %s", metadata);
Cell cell = (Cell) columnData;
if (cell.isTombstone())
applyColumnDeletion(partitionKey, clusteringColumns, columnName(cell));
else
applyColumnUpdate(partitionKey,
clusteringColumns,
Optional.of(ColumnValue.from(cell)));
});
}
}
else
applyRowDeletion(partitionKey, clusteringColumns);
});
else
{
// MutableDeletionInfo may have partition delete or range tombstone list or both
if (update.deletionInfo().hasRanges())
update.deletionInfo()
.rangeIterator(false)
.forEachRemaining(rt -> applyRangeTombstone(partitionKey, toRange(rt.deletedSlice())));
if (!update.deletionInfo().getPartitionDeletion().isLive())
applyPartitionDeletion(partitionKey);
}
}
protected void applyPartitionDeletion(ColumnValues partitionKey)
{
throw invalidRequest("Partition deletion is not supported by table %s", metadata);
}
private Range toRange(Slice slice)
{
ClusteringBound startBound = slice.start();
ClusteringBound endBound = slice.end();
if (startBound.isBottom())
{
if (endBound.isTop())
return Range.all();
return Range.upTo(ColumnValues.from(metadata(), endBound), boundType(endBound));
}
if (endBound.isTop())
return Range.downTo(ColumnValues.from(metadata(), startBound), boundType(startBound));
ColumnValues start = ColumnValues.from(metadata(), startBound);
BoundType startType = boundType(startBound);
ColumnValues end = ColumnValues.from(metadata(), endBound);
BoundType endType = boundType(endBound);
return Range.range(start, startType, end, endType);
}
private static BoundType boundType(ClusteringBound bound)
{
return bound.isInclusive() ? BoundType.CLOSED : BoundType.OPEN;
}
protected void applyRangeTombstone(ColumnValues partitionKey, Range range)
{
throw invalidRequest("Range deletion is not supported by table %s", metadata);
}
protected void applyRowDeletion(ColumnValues partitionKey, ColumnValues clusteringColumns)
{
throw invalidRequest("Row deletion is not supported by table %s", metadata);
}
protected void applyColumnDeletion(ColumnValues partitionKey, ColumnValues clusteringColumns, String columnName)
{
throw invalidRequest("Column deletion is not supported by table %s", metadata);
}
protected void applyColumnUpdate(ColumnValues partitionKey,
ColumnValues clusteringColumns,
Optional columnValue)
{
throw invalidRequest("Column modification is not supported by table %s", metadata);
}
private static String columnName(Cell cell)
{
return cell.column().name.toCQLString();
}
/**
* A set of partition key or clustering column values.
*/
public static final class ColumnValues implements Comparable
{
/**
* An empty set of column values.
*/
private static final ColumnValues EMPTY = new ColumnValues(ImmutableList.of(), ArrayUtils.EMPTY_OBJECT_ARRAY);
/**
* The column metadata for the set of columns.
*/
private final ImmutableList metadata;
/**
* The column values. The number of values can be smaller than the number of values if only
* a sub-set of the column values is specified (e.g. clustering prefix).
*/
private final Object[] values;
/**
* Returns the set of column values corresponding to the specified partition key.
*
* @param metadata the table metadata
* @param partitionKey the partition key
* @return the set of columns values corresponding to the specified partition key
*/
public static ColumnValues from(TableMetadata metadata, DecoratedKey partitionKey)
{
if (metadata.partitionKeyType instanceof CompositeType)
{
ByteBuffer[] buffers = ((CompositeType) metadata.partitionKeyType).split(partitionKey.getKey());
return ColumnValues.from(metadata.partitionKeyColumns(), buffers);
}
return ColumnValues.from(metadata.partitionKeyColumns(), partitionKey.getKey());
}
/**
* Returns the set of column values corresponding to the specified clustering prefix.
*
* @param metadata the table metadata
* @param prefix the clustering prefix
* @return the set of columns values corresponding to the specified clustering prefix
*/
public static ColumnValues from(TableMetadata metadata, ClusteringPrefix prefix)
{
if (prefix == Clustering.EMPTY)
return EMPTY;
return ColumnValues.from(metadata.clusteringColumns(), prefix.getBufferArray());
}
private static ColumnValues from(ImmutableList metadata, ByteBuffer... buffers)
{
return new ColumnValues(metadata, convert(metadata, buffers));
}
/**
* Create a {@code ColumnValues} for the specified set of columns.
*
* @param metadata the partition or clustering columns metadata
* @param values the partition or clustering column values
*/
public ColumnValues(List metadata, Object... values)
{
this.metadata = ImmutableList.copyOf(metadata);
this.values = values;
}
/**
* Deserializes the column values.
*
* @param metadata the column metadata
* @param buffers the serialized column values
* @return the deserialized column values
*/
private static Object[] convert(ImmutableList metadata, ByteBuffer[] buffers)
{
Object[] values = new Object[buffers.length];
for (int i = 0; i < buffers.length; i++)
{
values[i] = metadata.get(i).type.compose(buffers[i]);
}
return values;
}
/**
* Returns the name of the specified column
*
* @param i the column index
* @return the column name
*/
public String name(int i)
{
Preconditions.checkPositionIndex(i, values.length);
return metadata.get(i).name.toCQLString();
}
/**
* Returns the value for the specified column
*
* @param i the column index
* @return the column value
*/
@SuppressWarnings("unchecked")
public V value(int i)
{
Preconditions.checkPositionIndex(i, values.length);
return (V) values[i];
}
/**
* Returns the number of column values.
*
* @return the number of column values.
*/
public int size()
{
return values.length;
}
@Override
public String toString()
{
StringBuilder builder = new StringBuilder();
builder.append('[');
for (int i = 0, m = metadata.size(); i > int compare(Object c1, Object c2)
{
return ((T) c1).compareTo((T) c2);
}
}
/**
* A regular column value.
*/
public static final class ColumnValue
{
/**
* The column metadata
*/
private final ColumnMetadata metadata;
/**
* The column value
*/
private final Object value;
/**
* Returns the column value corresponding to the specified cell.
*
* @param cell the column cell metadata
* @return the column value corresponding to the specified cell
*/
public static ColumnValue from(Cell cell)
{
ColumnMetadata metadata = cell.column();
return new ColumnValue(metadata, metadata.type.compose(cell.buffer()));
}
private ColumnValue(ColumnMetadata metadata, Object value)
{
this.metadata = metadata;
this.value = value;
}
/**
* Returns the column name.
*
* @return the column name
*/
public String name()
{
return metadata.name.toCQLString();
}
/**
* Returns the column value.
*
* @return the column value
*/
@SuppressWarnings("unchecked")
public V value()
{
return (V) value;
}
@Override
public String toString()
{
return String.format("%s : %s", name(), value());
}
}
}
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