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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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/*
 * 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;

import java.nio.ByteBuffer;

import com.google.common.base.Preconditions;

import org.apache.cassandra.utils.ObjectSizes;
import org.apache.cassandra.utils.memory.ByteBufferCloner;

public class ArrayClusteringBound extends ArrayClusteringBoundOrBoundary implements ClusteringBound
{
    private static final long EMPTY_SIZE = ObjectSizes.measure(new ArrayClusteringBound(ClusteringPrefix.Kind.INCL_START_BOUND, EMPTY_VALUES_ARRAY));

    public ArrayClusteringBound(Kind kind, byte[][] values)
    {
        super(kind, values);
    }

    public long unsharedHeapSize()
    {
        return EMPTY_SIZE + ObjectSizes.sizeOfArray(values) + values.length;
    }

    @Override
    public ClusteringBound invert()
    {
        return create(kind().invert(), values);
    }

    @Override
    public ClusteringBound clone(ByteBufferCloner cloner)
    {
        return (ClusteringBound) super.clone(cloner);
    }

    public static ArrayClusteringBound create(ClusteringPrefix.Kind kind, byte[][] values)
    {
        Preconditions.checkArgument(!kind.isBoundary(), "Expected bound clustering kind, got %s", kind);
        return new ArrayClusteringBound(kind, values);
    }
}