/*
* Copyright (C) 2008 The Guava Authors
*
* 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.google.common.collect;
import static com.google.common.collect.CollectPreconditions.checkNonnegative;
import java.io.Serializable;
import java.util.HashMap;
import java.util.Map;
import javax.annotation.Nullable;
import com.google.common.annotations.GwtCompatible;
import com.google.common.base.Supplier;
/**
* Implementation of {@link Table} using hash tables.
*
*
* The views returned by {@link #column}, {@link #columnKeySet()}, and
* {@link #columnMap()} have iterators that don't support {@code remove()}.
* Otherwise, all optional operations are supported. Null row keys, columns
* keys, and values are not supported.
*
*
* Lookups by row key are often faster than lookups by column key, because the
* data is stored in a {@code Map>}. A method call like {@code
* column(columnKey).get(rowKey)} still runs quickly, since the row key is
* provided. However, {@code column(columnKey).size()} takes longer, since an
* iteration across all row keys occurs.
*
*
* Note that this implementation is not synchronized. If multiple threads access
* this table concurrently and one of the threads modifies the table, it must be
* synchronized externally.
*
*
* See the Guava User Guide article on
* {@code Table}.
*
* @author Jared Levy
* @since 7.0
*/
@GwtCompatible(serializable = true)
public class HashBasedTable extends StandardTable {
private static class Factory implements Supplier