I want to sort an ArrayList called imageList like this:
Collections.sort(imageList, new MapComparator(Function.KEY_TIMESTAMP, "dsc"));
This works fine, but now I want to be able to set a limit (show only the newest 100 images, where the ArrayList is unsorted, so simply creating a sublist won't work) for performance reasons.
My MapComparator class looks like this:
class MapComparator implements Comparator<HashMap<String, String>>
{
private final String key;
private final String order;
public MapComparator(String key, String order)
{
this.key = key;
this.order = order;
}
public int compare(HashMap<String, String> first,
HashMap<String, String> second)
{
String firstValue = first.get(key);
String secondValue = second.get(key);
if(this.order.toLowerCase().contentEquals("asc"))
{
return firstValue.compareTo(secondValue);
}else{
return secondValue.compareTo(firstValue);
}
}
}
Does anyone know how to implement that? Thanks in advance!
In order to sort Employee object on different criteria, we need to create multiple comparators e.g. NameComparator, AgeComparator, and SalaryComparator, this is known as custom sorting in Java. This is different from the natural ordering of objects, provided by the compareTo() method of java.
We can also sort the student names in descending order using Collections. reverseOrder(). Output: Sorting in descending order can be done using a comparator too.
Whenever we need to sort the values in a collection, this “sort” method transfers control to the compare method in the class. The compare method then returns some values based on the comparison. It returns 0 if both the objects are equal. This returns 1 if the first object is greater than the second.
The difference between sorting HashMap by Keys and Values is that it can have duplicate values but not duplicate Keys. We cannot use TreeMap to sort values because TreeMap sorts elements by Keys. In the following example, we have sorted the map in ascending and descending order.
I'm not aware of an official name for this kind of problem, but it does occur reasonably frequently, and it's often called something like a top-k or greatest-k problem.
You certainly have to process all the elements in the input, because the last element might belong in the "top k" set and you don't know until you've processed every last element. However, you don't have to sort the entire input. Doing something like sorting and then taking a sublist, or with a stream, calling sorted()
followed by limit()
, can potentially be very expensive, since with N input elements, sorting is O(N log N). However, it's possible to reduce the time complexity to O(N) simply by keeping track of the greatest k elements seen so far as you run through the list.
Guava has a Collector that does exactly this: Comparators.greatest(k, comparator).
If you don't want to use Guava, it's not too difficult to build your own collector that's more-or-less equivalent. A PriorityQueue
is quite a useful for this purpose. Here's a first cut at it:
static <T> Collector<T,PriorityQueue<T>,List<T>> topK(int k, Comparator<? super T> comp) {
return Collector.of(
() -> new PriorityQueue<>(k+1, comp),
(pq, t) -> {
pq.add(t);
if (pq.size() > k)
pq.poll();
},
(pq1, pq2) -> {
pq1.addAll(pq2);
while (pq1.size() > k)
pq1.poll();
return pq1;
},
pq -> {
int n = pq.size();
@SuppressWarnings("unchecked")
T[] a = (T[])new Object[n];
while (--n >= 0)
a[n] = pq.poll();
return Arrays.asList(a);
},
Collector.Characteristics.UNORDERED);
}
This uses a PriorityQueue
as an intermediate data structure. As elements are added, the smallest element is trimmed off when the queue exceeds k in size. At the end, the elements are pulled from the queue and put into a list in reverse order, so the resulting list is sorted highest to lowest.
For example, given a List<Integer>
containing
[920, 203, 880, 321, 181, 623, 496, 576, 854, 323,
339, 100, 795, 165, 857, 935, 555, 648, 837, 975]
one can do
List<Integer> out = input.stream()
.collect(topK(5, Comparator.naturalOrder()));
resulting in
[979, 936, 890, 875, 831]
As an aside, it's possible to create a map comparator much more simply by using the combinator methods in the Comparator
class. For example, suppose your input looks like this:
List<Map<String, String>> input =
List.of(Map.of("name", "map1", "timestamp", "00017"),
Map.of("name", "map2", "timestamp", "00192"),
Map.of("name", "map3", "timestamp", "00001"),
Map.of("name", "map4", "timestamp", "00072"),
Map.of("name", "map5", "timestamp", "04037"));
You can easily sort the maps by timestamp like this:
input.stream()
.sorted(Comparator.comparing(map -> map.get("timestamp")))
.forEach(System.out::println);
Or collect them into a list, or sort-in-place using sort(comparator)
, or whatever. You can reverse the sort by doing:
input.stream()
.sorted(Comparator.comparing(map -> map.get("timestamp"), Comparator.reverseOrder()))
.forEach(System.out::println);
The output of the latter will then be:
{name=map5, timestamp=04037}
{name=map2, timestamp=00192}
{name=map4, timestamp=00072}
{name=map1, timestamp=00017}
{name=map3, timestamp=00001}
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