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
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());
}
}
其他回答
HashMap<String,Long>的最简单的暴力排序HashMap方法:您可以复制粘贴它,然后这样使用:
public class Test {
public static void main(String[] args) {
HashMap<String, Long> hashMap = new HashMap<>();
hashMap.put("Cat", (long) 4);
hashMap.put("Human", (long) 2);
hashMap.put("Dog", (long) 4);
hashMap.put("Fish", (long) 0);
hashMap.put("Tree", (long) 1);
hashMap.put("Three-legged-human", (long) 3);
hashMap.put("Monkey", (long) 2);
System.out.println(hashMap); //{Human=2, Cat=4, Three-legged-human=3, Monkey=2, Fish=0, Tree=1, Dog=4}
System.out.println(sortHashMap(hashMap)); //{Cat=4, Dog=4, Three-legged-human=3, Human=2, Monkey=2, Tree=1, Fish=0}
}
public LinkedHashMap<String, Long> sortHashMap(HashMap<String, Long> unsortedMap) {
LinkedHashMap<String, Long> result = new LinkedHashMap<>();
//add String keys to an array: the array would get sorted, based on those keys' values
ArrayList<String> sortedKeys = new ArrayList<>();
for (String key: unsortedMap.keySet()) {
sortedKeys.add(key);
}
//sort the ArrayList<String> of keys
for (int i=0; i<unsortedMap.size(); i++) {
for (int j=1; j<sortedKeys.size(); j++) {
if (unsortedMap.get(sortedKeys.get(j)) > unsortedMap.get(sortedKeys.get(j-1))) {
String temp = sortedKeys.get(j);
sortedKeys.set(j, sortedKeys.get(j-1));
sortedKeys.set(j-1, temp);
}
}
}
// construct the result Map
for (String key: sortedKeys) {
result.put(key, unsortedMap.get(key));
}
return result;
}
}
对于Java 8,您可以使用streams api以一种明显不那么冗长的方式来实现:
Map<K, V> sortedMap = map.entrySet().stream()
.sorted(Entry.comparingByValue())
.collect(Collectors.toMap(Entry::getKey, Entry::getValue, (e1, e2) -> e1, LinkedHashMap::new));
这太复杂了。地图不应该按价值排序。最简单的方法是创建自己的类,以满足您的需求。
在下面的示例中,您应该在*所在的位置添加TreeMap比较器。但通过javaAPI,它只提供比较器键,而不提供值。此处所述的所有示例均基于2个地图。一个哈希和一个新树。这很奇怪。
示例:
Map<Driver driver, Float time> map = new TreeMap<Driver driver, Float time>(*);
因此,通过以下方式将地图更改为集合:
ResultComparator rc = new ResultComparator();
Set<Results> set = new TreeSet<Results>(rc);
您将创建类Results,
public class Results {
private Driver driver;
private Float time;
public Results(Driver driver, Float time) {
this.driver = driver;
this.time = time;
}
public Float getTime() {
return time;
}
public void setTime(Float time) {
this.time = time;
}
public Driver getDriver() {
return driver;
}
public void setDriver (Driver driver) {
this.driver = driver;
}
}
以及Comparator类:
public class ResultsComparator implements Comparator<Results> {
public int compare(Results t, Results t1) {
if (t.getTime() < t1.getTime()) {
return 1;
} else if (t.getTime() == t1.getTime()) {
return 0;
} else {
return -1;
}
}
}
这样,您可以轻松添加更多依赖项。
最后一点,我将添加简单迭代器:
Iterator it = set.iterator();
while (it.hasNext()) {
Results r = (Results)it.next();
System.out.println( r.getDriver().toString
//or whatever that is related to Driver class -getName() getSurname()
+ " "
+ r.getTime()
);
}
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
}
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。