/*
* 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.utils;
import java.lang.reflect.Method;
import java.nio.ByteBuffer;
import org.apache.cassandra.io.ICompactSerializer;
public abstract class Filter
{
int hashCount;
private static MurmurHash hasher = new MurmurHash();
int getHashCount()
{
return hashCount;
}
public int[] getHashBuckets(ByteBuffer key)
{
return Filter.getHashBuckets(key, hashCount, buckets());
}
abstract int buckets();
public abstract void add(ByteBuffer key);
public abstract boolean isPresent(ByteBuffer key);
// for testing
abstract int emptyBuckets();
ICompactSerializer<Filter> getSerializer()
{
Method method = null;
try
{
method = getClass().getMethod("serializer");
return (ICompactSerializer<Filter>) method.invoke(null);
}
catch (Exception e)
{
throw new RuntimeException(e);
}
}
// Murmur is faster than an SHA-based approach and provides as-good collision
// resistance. The combinatorial generation approach described in
// http://www.eecs.harvard.edu/~kirsch/pubs/bbbf/esa06.pdf
// does prove to work in actual tests, and is obviously faster
// than performing further iterations of murmur.
static int[] getHashBuckets(ByteBuffer b, int hashCount, int max)
{
int[] result = new int[hashCount];
int hash1 = hasher.hash(b.array(), b.position()+b.arrayOffset(), b.remaining(), 0);
int hash2 = hasher.hash(b.array(), b.position()+b.arrayOffset(), b.remaining(), hash1);
for (int i = 0; i < hashCount; i++)
{
result[i] = Math.abs((hash1 + i * hash2) % max);
}
return result;
}
}