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Neo4j kernel is a lightweight, embedded Java database designed to
store data structured as graphs rather than tables. For more
information, see http://neo4j.org.
/*
* Copyright (c) "Neo4j"
* Neo4j Sweden AB [http://neo4j.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 .
*/
package org.neo4j.kernel.impl.newapi;
import java.util.function.Predicate;
import org.neo4j.internal.kernel.api.NodeCursor;
import org.neo4j.internal.kernel.api.PropertyCursor;
import org.neo4j.internal.kernel.api.PropertyIndexQuery;
import org.neo4j.internal.kernel.api.RelationshipScanCursor;
public class CursorPredicates
{
public static boolean propertiesMatch( PropertyCursor propertyCursor, PropertyIndexQuery[] queries )
{
int targetCount = queries.length;
while ( propertyCursor.next() )
{
for ( PropertyIndexQuery query : queries )
{
if ( propertyCursor.propertyKey() == query.propertyKeyId() )
{
if ( query.acceptsValueAt( propertyCursor ) )
{
targetCount--;
if ( targetCount == 0 )
{
return true;
}
}
else
{
return false;
}
}
}
}
return false;
}
public static Predicate hasLabel( int labelId )
{
return cursor -> cursor.hasLabel( labelId );
}
public static Predicate hasType( int typeId )
{
return cursor -> cursor.type() == typeId;
}
public static Predicate nodeMatchProperties( PropertyIndexQuery[] queries, PropertyCursor propertyCursor )
{
return cursor ->
{
cursor.properties( propertyCursor );
return propertiesMatch( propertyCursor, queries );
};
}
public static Predicate relationshipMatchProperties( PropertyIndexQuery[] queries, PropertyCursor propertyCursor )
{
return cursor ->
{
cursor.properties( propertyCursor );
return propertiesMatch( propertyCursor, queries );
};
}
}