我对Java比较陌生,经常发现需要对值进行Map<Key,Value>排序。
由于这些值不是唯一的,我发现自己将keySet转换为一个数组,并使用自定义比较器通过数组排序对该数组进行排序,该比较器根据与该键关联的值进行排序。
有没有更简单的方法?
我对Java比较陌生,经常发现需要对值进行Map<Key,Value>排序。
由于这些值不是唯一的,我发现自己将keySet转换为一个数组,并使用自定义比较器通过数组排序对该数组进行排序,该比较器根据与该键关联的值进行排序。
有没有更简单的方法?
当前回答
创建自定义比较器,并在创建新的TreeMap对象时使用它。
class MyComparator implements Comparator<Object> {
Map<String, Integer> map;
public MyComparator(Map<String, Integer> map) {
this.map = map;
}
public int compare(Object o1, Object o2) {
if (map.get(o2) == map.get(o1))
return 1;
else
return ((Integer) map.get(o2)).compareTo((Integer)
map.get(o1));
}
}
在主函数中使用以下代码
Map<String, Integer> lMap = new HashMap<String, Integer>();
lMap.put("A", 35);
lMap.put("B", 75);
lMap.put("C", 50);
lMap.put("D", 50);
MyComparator comparator = new MyComparator(lMap);
Map<String, Integer> newMap = new TreeMap<String, Integer>(comparator);
newMap.putAll(lMap);
System.out.println(newMap);
输出:
{B=75, D=50, C=50, A=35}
其他回答
基于@devinmore代码,一种使用泛型并支持升序和降序排序的map排序方法。
/**
* Sort a map by it's keys in ascending order.
*
* @return new instance of {@link LinkedHashMap} contained sorted entries of supplied map.
* @author Maxim Veksler
*/
public static <K, V> LinkedHashMap<K, V> sortMapByKey(final Map<K, V> map) {
return sortMapByKey(map, SortingOrder.ASCENDING);
}
/**
* Sort a map by it's values in ascending order.
*
* @return new instance of {@link LinkedHashMap} contained sorted entries of supplied map.
* @author Maxim Veksler
*/
public static <K, V> LinkedHashMap<K, V> sortMapByValue(final Map<K, V> map) {
return sortMapByValue(map, SortingOrder.ASCENDING);
}
/**
* Sort a map by it's keys.
*
* @param sortingOrder {@link SortingOrder} enum specifying requested sorting order.
* @return new instance of {@link LinkedHashMap} contained sorted entries of supplied map.
* @author Maxim Veksler
*/
public static <K, V> LinkedHashMap<K, V> sortMapByKey(final Map<K, V> map, final SortingOrder sortingOrder) {
Comparator<Map.Entry<K, V>> comparator = new Comparator<Entry<K,V>>() {
public int compare(Entry<K, V> o1, Entry<K, V> o2) {
return comparableCompare(o1.getKey(), o2.getKey(), sortingOrder);
}
};
return sortMap(map, comparator);
}
/**
* Sort a map by it's values.
*
* @param sortingOrder {@link SortingOrder} enum specifying requested sorting order.
* @return new instance of {@link LinkedHashMap} contained sorted entries of supplied map.
* @author Maxim Veksler
*/
public static <K, V> LinkedHashMap<K, V> sortMapByValue(final Map<K, V> map, final SortingOrder sortingOrder) {
Comparator<Map.Entry<K, V>> comparator = new Comparator<Entry<K,V>>() {
public int compare(Entry<K, V> o1, Entry<K, V> o2) {
return comparableCompare(o1.getValue(), o2.getValue(), sortingOrder);
}
};
return sortMap(map, comparator);
}
@SuppressWarnings("unchecked")
private static <T> int comparableCompare(T o1, T o2, SortingOrder sortingOrder) {
int compare = ((Comparable<T>)o1).compareTo(o2);
switch (sortingOrder) {
case ASCENDING:
return compare;
case DESCENDING:
return (-1) * compare;
}
return 0;
}
/**
* Sort a map by supplied comparator logic.
*
* @return new instance of {@link LinkedHashMap} contained sorted entries of supplied map.
* @author Maxim Veksler
*/
public static <K, V> LinkedHashMap<K, V> sortMap(final Map<K, V> map, final Comparator<Map.Entry<K, V>> comparator) {
// Convert the map into a list of key,value pairs.
List<Map.Entry<K, V>> mapEntries = new LinkedList<Map.Entry<K, V>>(map.entrySet());
// Sort the converted list according to supplied comparator.
Collections.sort(mapEntries, comparator);
// Build a new ordered map, containing the same entries as the old map.
LinkedHashMap<K, V> result = new LinkedHashMap<K, V>(map.size() + (map.size() / 20));
for(Map.Entry<K, V> entry : mapEntries) {
// We iterate on the mapEntries list which is sorted by the comparator putting new entries into
// the targeted result which is a sorted map.
result.put(entry.getKey(), entry.getValue());
}
return result;
}
/**
* Sorting order enum, specifying request result sort behavior.
* @author Maxim Veksler
*
*/
public static enum SortingOrder {
/**
* Resulting sort will be from smaller to biggest.
*/
ASCENDING,
/**
* Resulting sort will be from biggest to smallest.
*/
DESCENDING
}
发布我的答案版本
List<Map.Entry<String, Integer>> list = new ArrayList<>(map.entrySet());
Collections.sort(list, (obj1, obj2) -> obj2.getValue().compareTo(obj1.getValue()));
Map<String, Integer> resultMap = new LinkedHashMap<>();
list.forEach(arg0 -> {
resultMap.put(arg0.getKey(), arg0.getValue());
});
System.out.println(resultMap);
如果倾向于使用一个Map数据结构,该结构可以按值进行固有排序,而不必触发任何排序方法或显式传递给实用程序,则以下解决方案可能适用:
(1) org.rools.chance.core.util.ValueSortedMap(JBoss项目)在内部维护两个映射,一个用于查找,另一个用于维护排序值。与之前添加的答案非常相似,但可能是抽象和封装部分(包括复制机制)使其更安全地从外部使用。
(2) http://techblog.molindo.at/2008/11/java-map-sorted-by-value.html避免维护两个映射,而是依赖/扩展Apache Common的LinkedMap。(博客作者注:这里的所有代码都在公共领域):
// required to access LinkEntry.before and LinkEntry.after
package org.apache.commons.collections.map;
// SNIP: imports
/**
* map implementation based on LinkedMap that maintains a sorted list of
* values for iteration
*/
public class ValueSortedHashMap extends LinkedMap {
private final boolean _asc;
// don't use super()!
public ValueSortedHashMap(final boolean asc) {
super(DEFAULT_CAPACITY);
_asc = asc;
}
// SNIP: some more constructors with initial capacity and the like
protected void addEntry(final HashEntry entry, final int hashIndex) {
final LinkEntry link = (LinkEntry) entry;
insertSorted(link);
data[hashIndex] = entry;
}
protected void updateEntry(final HashEntry entry, final Object newValue) {
entry.setValue(newValue);
final LinkEntry link = (LinkEntry) entry;
link.before.after = link.after;
link.after.before = link.before;
link.after = link.before = null;
insertSorted(link);
}
private void insertSorted(final LinkEntry link) {
LinkEntry cur = header;
// iterate whole list, could (should?) be replaced with quicksearch
// start at end to optimize speed for in-order insertions
while ((cur = cur.before) != header & amp; & amp; !insertAfter(cur, link)) {}
link.after = cur.after;
link.before = cur;
cur.after.before = link;
cur.after = link;
}
protected boolean insertAfter(final LinkEntry cur, final LinkEntry link) {
if (_asc) {
return ((Comparable) cur.getValue())
.compareTo((V) link.getValue()) & lt; = 0;
} else {
return ((Comparable) cur.getValue())
.compareTo((V) link.getValue()) & gt; = 0;
}
}
public boolean isAscending() {
return _asc;
}
}
(3) 编写一个自定义映射或从LinkedHashMap扩展,该映射仅在枚举期间根据需要进行排序(例如,values()、keyset()、entryset())。内部实现/行为是从使用该类的实现/行为中抽象出来的,但在该类的客户端看来,当请求枚举时,值总是被排序的。如果所有的put操作都在枚举之前完成,这个类希望排序只发生一次。排序方法采用了前面对这个问题的一些回答。
public class SortByValueMap<K, V> implements Map<K, V> {
private boolean isSortingNeeded = false;
private final Map<K, V> map = new LinkedHashMap<>();
@Override
public V put(K key, V value) {
isSortingNeeded = true;
return map.put(key, value);
}
@Override
public void putAll(Map<? extends K, ? extends V> map) {
isSortingNeeded = true;
map.putAll(map);
}
@Override
public Set<K> keySet() {
sort();
return map.keySet();
}
@Override
public Set<Entry<K, V>> entrySet() {
sort();
return map.entrySet();
}
@Override
public Collection<V> values() {
sort();
return map.values();
}
private void sort() {
if (!isSortingNeeded) {
return;
}
List<Entry<K, V>> list = new ArrayList<>(size());
for (Iterator<Map.Entry<K, V>> it = map.entrySet().iterator(); it.hasNext();) {
Map.Entry<K, V> entry = it.next();
list.add(entry);
it.remove();
}
Collections.sort(list);
for (Entry<K, V> entry : list) {
map.put(entry.getKey(), entry.getValue());
}
isSortingNeeded = false;
}
@Override
public String toString() {
sort();
return map.toString();
}
}
(4) Guava提供了ImmutableMap.Builder.orderEntriesByValue(Comparator valueComparator),尽管生成的映射是不可变的:
将此生成器配置为根据指定的比较器。排序顺序是稳定的,也就是说,如果两个条目的值作为等价项进行比较,首先插入的条目将是第一个按照构建映射的迭代顺序。
最干净的方法是利用集合对值进行排序:
Map<String, Long> map = new HashMap<String, Long>();
// populate with data to sort on Value
// use datastructure designed for sorting
Queue queue = new PriorityQueue( map.size(), new MapComparable() );
queue.addAll( map.entrySet() );
// get a sorted map
LinkedHashMap<String, Long> linkedMap = new LinkedHashMap<String, Long>();
for (Map.Entry<String, Long> entry; (entry = queue.poll())!=null;) {
linkedMap.put(entry.getKey(), entry.getValue());
}
public static class MapComparable implements Comparator<Map.Entry<String, Long>>{
public int compare(Entry<String, Long> e1, Entry<String, Long> e2) {
return e1.getValue().compareTo(e2.getValue());
}
}
当你有两个相等的项目时,投票给最多的答案不起作用。TreeMap保留相等的值。
示例:未排序地图
key/value: D/67.3 key/value: A/99.5 key/value: B/67.4 key/value: C/67.5 key/value: E/99.5
后果
key/value: A/99.5 key/value: C/67.5 key/value: B/67.4 key/value: D/67.3
所以省略了E!!
对我来说,它可以很好地调整比较器,如果它等于,则不返回0,而是返回-1。
在示例中:
类ValueComparator实现Comparator{地图库;公共ValueComparator(地图库){this.base=基数;}public int compare(对象a,对象b){如果((双)base.get(a)<(双)base.get(b)){返回1;}否则如果((双)base.get(a)==(双)base.get(b)){返回-1;}其他{返回-1;}}}
现在它返回:
未排序地图:
key/value: D/67.3 key/value: A/99.5 key/value: B/67.4 key/value: C/67.5 key/value: E/99.5
结果:
key/value: A/99.5 key/value: E/99.5 key/value: C/67.5 key/value: B/67.4 key/value: D/67.3
作为对《外国人》的回应(2011年11月22日):我将此解决方案用于整数Id和名称的映射,但想法是相同的,因此上面的代码可能不正确(我将在测试中编写并给您正确的代码),这是基于上面解决方案的map排序代码:
package nl.iamit.util;
import java.util.Comparator;
import java.util.Map;
public class Comparators {
public static class MapIntegerStringComparator implements Comparator {
Map<Integer, String> base;
public MapIntegerStringComparator(Map<Integer, String> base) {
this.base = base;
}
public int compare(Object a, Object b) {
int compare = ((String) base.get(a))
.compareTo((String) base.get(b));
if (compare == 0) {
return -1;
}
return compare;
}
}
}
这是测试类(我刚刚测试了它,这适用于Integer,StringMap:
package test.nl.iamit.util;
import java.util.HashMap;
import java.util.TreeMap;
import nl.iamit.util.Comparators;
import org.junit.Test;
import static org.junit.Assert.assertArrayEquals;
public class TestComparators {
@Test
public void testMapIntegerStringComparator(){
HashMap<Integer, String> unSoretedMap = new HashMap<Integer, String>();
Comparators.MapIntegerStringComparator bvc = new Comparators.MapIntegerStringComparator(
unSoretedMap);
TreeMap<Integer, String> sorted_map = new TreeMap<Integer, String>(bvc);
//the testdata:
unSoretedMap.put(new Integer(1), "E");
unSoretedMap.put(new Integer(2), "A");
unSoretedMap.put(new Integer(3), "E");
unSoretedMap.put(new Integer(4), "B");
unSoretedMap.put(new Integer(5), "F");
sorted_map.putAll(unSoretedMap);
Object[] targetKeys={new Integer(2),new Integer(4),new Integer(3),new Integer(1),new Integer(5) };
Object[] currecntKeys=sorted_map.keySet().toArray();
assertArrayEquals(targetKeys,currecntKeys);
}
}
以下是地图比较器的代码:
public static class MapStringDoubleComparator implements Comparator {
Map<String, Double> base;
public MapStringDoubleComparator(Map<String, Double> base) {
this.base = base;
}
//note if you want decending in stead of ascending, turn around 1 and -1
public int compare(Object a, Object b) {
if ((Double) base.get(a) == (Double) base.get(b)) {
return 0;
} else if((Double) base.get(a) < (Double) base.get(b)) {
return -1;
}else{
return 1;
}
}
}
这是一个测试用例:
@Test
public void testMapStringDoubleComparator(){
HashMap<String, Double> unSoretedMap = new HashMap<String, Double>();
Comparators.MapStringDoubleComparator bvc = new Comparators.MapStringDoubleComparator(
unSoretedMap);
TreeMap<String, Double> sorted_map = new TreeMap<String, Double>(bvc);
//the testdata:
unSoretedMap.put("D",new Double(67.3));
unSoretedMap.put("A",new Double(99.5));
unSoretedMap.put("B",new Double(67.4));
unSoretedMap.put("C",new Double(67.5));
unSoretedMap.put("E",new Double(99.5));
sorted_map.putAll(unSoretedMap);
Object[] targetKeys={"D","B","C","E","A"};
Object[] currecntKeys=sorted_map.keySet().toArray();
assertArrayEquals(targetKeys,currecntKeys);
}
当然,你可以让它更通用,但我只需要一个案例(地图)