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/*
 * Copyright (c) 2008-2024, Hazelcast, Inc. All Rights Reserved.
 *
 * Licensed 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 com.hazelcast.spi.merge;

import com.hazelcast.cardinality.impl.hyperloglog.HyperLogLog;
import com.hazelcast.spi.impl.merge.AbstractSplitBrainMergePolicy;
import com.hazelcast.spi.impl.merge.CardinalityEstimatorMergingEntry;
import com.hazelcast.spi.merge.SplitBrainMergeTypes.CardinalityEstimatorMergeTypes;

import static com.hazelcast.spi.impl.merge.SplitBrainDataSerializerHook.HYPER_LOG_LOG;

/**
 * Only available for HyperLogLog backed {@link com.hazelcast.cardinality.CardinalityEstimator}.
 * 

* Uses the default merge algorithm from HyperLogLog research, keeping the max register value of the two given instances. * The result should be the union to the two HyperLogLog estimations. * * @since 3.10 */ public class HyperLogLogMergePolicy extends AbstractSplitBrainMergePolicy { public HyperLogLogMergePolicy() { } @Override public HyperLogLog merge(CardinalityEstimatorMergeTypes mergingValue, CardinalityEstimatorMergeTypes existingValue) { HyperLogLog merging = ((CardinalityEstimatorMergingEntry) mergingValue).getRawValue(); if (existingValue == null) { return merging; } merging.merge(((CardinalityEstimatorMergingEntry) existingValue).getRawValue()); return merging; } @Override public int getClassId() { return HYPER_LOG_LOG; } }





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