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IndexSamplingConfig.java
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IndexSamplingConfig.java
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/*
* Copyright (c) 2002-2016 "Neo Technology,"
* Network Engine for Objects in Lund AB [http://neotechnology.com]
*
* This file is part of Neo4j.
*
* Neo4j is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
package org.neo4j.kernel.impl.api.index.sampling;
import org.neo4j.graphdb.factory.GraphDatabaseSettings;
import org.neo4j.kernel.configuration.Config;
public class IndexSamplingConfig
{
private final int sampleSizeLimit;
private final double updateRatio;
private final boolean backgroundSampling;
public IndexSamplingConfig( Config config )
{
this.sampleSizeLimit = config.get( GraphDatabaseSettings.index_sampling_buffer_size ).intValue();
this.updateRatio = ((double) config.get( GraphDatabaseSettings.index_sampling_update_percentage )) / 100.0d;
this.backgroundSampling = config.get( GraphDatabaseSettings.index_background_sampling_enabled );
}
public int sampleSizeLimit()
{
return sampleSizeLimit;
}
public double updateRatio()
{
return updateRatio;
}
public int jobLimit()
{
return 1;
}
public boolean backgroundSampling()
{
return backgroundSampling;
}
@Override
public boolean equals( Object o )
{
if ( this == o )
{
return true;
}
if ( o == null || getClass() != o.getClass() )
{
return false;
}
IndexSamplingConfig that = (IndexSamplingConfig) o;
return backgroundSampling == that.backgroundSampling &&
sampleSizeLimit == that.sampleSizeLimit &&
Double.compare( that.updateRatio, updateRatio ) == 0;
}
@Override
public int hashCode()
{
int result = sampleSizeLimit;
long temp = Double.doubleToLongBits( updateRatio );
result = 31 * result + (int) (temp ^ (temp >>> 32));
result = 31 * result + (backgroundSampling ? 1 : 0);
return result;
}
}