org.relique.jdbc.csv.MinimumMemoryMap Maven / Gradle / Ivy

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a Java JDBC driver for reading comma-separated-value files
There is a newer version: 1.0.43
/*
 *  CsvJdbc - a JDBC driver for CSV files
 *  Copyright (C) 2015  Simon Chenery
 *
 *  This library is free software; you can redistribute it and/or
 *  modify it under the terms of the GNU Lesser General Public
 *  License as published by the Free Software Foundation; either
 *  version 2.1 of the License, or (at your option) any later version.
 *  This library 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
 *  Lesser General Public License for more details.
 *  You should have received a copy of the GNU Lesser General Public
 *  License along with this library; if not, write to the Free Software
 *  Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
 */
package org.relique.jdbc.csv;

import java.util.AbstractMap;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Collections;
import java.util.Comparator;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;

/**
 * Array based implementation of the Map interface.
 * This implementation uses the minimum amount of memory to
 * store keys and values. Keys are kept in sorted order, so
 * time for inserts and lookups is O(log2(N)).
 */
public class MinimumMemoryMap implements Map
{
	ArrayList keys;
	ArrayList values;

	public MinimumMemoryMap()
	{
		keys = new ArrayList();
		values = new ArrayList();
	}

	public MinimumMemoryMap(int initialSize)
	{
		keys = new ArrayList(initialSize);
		values = new ArrayList(initialSize);
	}

	public MinimumMemoryMap(Map otherMap)
	{
		keys = new ArrayList();
		values = new ArrayList();
		putAll(otherMap);
	}

	@Override
	public void clear()
	{
		keys.clear();
		values.clear();
	}

	@Override
	public int size()
	{
		return keys.size();
	}

	@Override
	public boolean isEmpty()
	{
		return keys.isEmpty();
	}

	private class KeyHashCodeComparator implements Comparator
	{
		public int compare(K key1, K key2)
		{
			int hashCode1 = (key1 != null) ? key1.hashCode() : 0;
			int hashCode2 = (key2 != null) ? key2.hashCode() : 0;
			if (hashCode1 == hashCode2)
				return 0;
			if (hashCode1 < hashCode2)
				return -1;
			else
				return 1;
		}
	}

	private KeyHashCodeComparator keyHashCodeComparator = new KeyHashCodeComparator();

	private int binarySearch(ArrayList keys, K key)
	{
		int index = Collections.binarySearch(keys, key, keyHashCodeComparator);
		if (index >= 0)
		{
			/*
			 * It is possible though unlikely, that two keys have the same hashCode.
			 * Check that object found really is equal to the key.
			 */
			if (keys.get(index).equals(key))
				return index;

			/*
			 * If previous or following entries have the same hashCode then
			 * check if they equal the key.
			 */
			int prevIndex = index - 1;
			while (prevIndex >= 0)
			{
				K prevKey = keys.get(prevIndex);
				if (key.hashCode() != prevKey.hashCode())
					break;
				if (prevKey.equals(key))
					return prevIndex;
				prevIndex--;
			}
			int nextIndex = index + 1;
			while (nextIndex < keys.size())
			{
				K nextKey = keys.get(nextIndex);
				if (key.hashCode() != nextKey.hashCode())
					break;
				if (nextKey.equals(key))
					return nextIndex;
				nextIndex++;
			}

			/*
			 * Return negative index indicating key not found.
			 */
			index++;
			index = -index;
		}
		return index;
	}

	@Override
	public boolean containsKey(Object key)
	{
		int index = binarySearch(keys, (K)key);
		return (index >= 0);
	}

	@Override
	public boolean containsValue(Object value)
	{
		return values.contains(value);
	}

	@Override
	public V get(Object key)
	{
		int index = binarySearch(keys, (K)key);
		if (index >= 0)
			return values.get(index);
		else
			return null;
	}

	@Override
	public V put(K key, V value)
	{
		V previousValue = null;
		int index = binarySearch(keys, key);
		if (index >= 0)
		{
			previousValue = values.get(index);
			values.set(index, value);
		}
		else
		{
			/*
			 * Binary search returned the position for insertion.
			 */
			index = -index;
			index--;
			keys.add(index, key);
			values.add(index, value);
		}
		return previousValue;
	}

	@Override
	public V remove(Object key)
	{
		V removedValue = null;
		int index = binarySearch(keys, (K)key);
		if (index >= 0)
		{
			removedValue = values.get(index);
			keys.remove(index);
			values.remove(index);
		}
		return removedValue;
	}

	@Override
	public void putAll(Map m)
	{
		int requiredCapacity = size() + m.size();
		keys.ensureCapacity(requiredCapacity);
		values.ensureCapacity(requiredCapacity);

		for (Map.Entry entry : m.entrySet())
		{
			put(entry.getKey(), entry.getValue());
		}
	}

	@Override
	public Set keySet()
	{
		return new HashSet(keys);
	}

	@Override
	public Collection values()
	{
		return new ArrayList(values);
	}

	@Override
	public Set> entrySet()
	{
		int size = keys.size();
		Set> entrySet = new HashSet>(size);

		for (int index = 0; index < size; index++)
		{
			entrySet.add(new AbstractMap.SimpleEntry(keys.get(index), values.get(index)));
		}
		return entrySet;
	}

	@Override
	public String toString()
	{
		return entrySet().toString();
	}
}