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IndexSamplerWrapper.java
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IndexSamplerWrapper.java
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/*
* Copyright (c) 2002-2018 "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.index.schema;
import org.neo4j.kernel.api.schema.index.SchemaIndexDescriptor;
import org.neo4j.kernel.impl.api.index.sampling.DefaultNonUniqueIndexSampler;
import org.neo4j.kernel.impl.api.index.sampling.IndexSamplingConfig;
import org.neo4j.kernel.impl.api.index.sampling.UniqueIndexSampler;
import org.neo4j.storageengine.api.schema.IndexSample;
import org.neo4j.values.storable.Value;
class IndexSamplerWrapper
{
private final DefaultNonUniqueIndexSampler generalSampler;
private final UniqueIndexSampler uniqueSampler;
IndexSamplerWrapper( SchemaIndexDescriptor descriptor, IndexSamplingConfig samplingConfig )
{
switch ( descriptor.type() )
{
case GENERAL:
generalSampler = new DefaultNonUniqueIndexSampler( samplingConfig.sampleSizeLimit() );
uniqueSampler = null;
break;
case UNIQUE:
generalSampler = null;
uniqueSampler = new UniqueIndexSampler();
break;
default:
throw new UnsupportedOperationException( "Unexpected index type " + descriptor.type() );
}
}
void includeSample( Value[] values )
{
if ( uniqueSampler != null )
{
uniqueSampler.increment( 1 );
}
else
{
generalSampler.include( SamplingUtil.encodedStringValuesForSampling( (Object[]) values ) );
}
}
IndexSample sampleResult()
{
if ( uniqueSampler != null )
{
return uniqueSampler.result();
}
else
{
return generalSampler.result();
}
}
}