Collection.sort를 하기위해선 class 내에 Comparator나 comparable<T>를  구현해야 한다.

즉, compareTo 메서드를 오버라이딩 해야한다.

    @Override
    public int compareTo(Student o) {
    	// 구현
    }

이 때, 어떤 기준으로 1, 0, -1을 리턴해줘야 하는지 자주 헷갈려서 소스를 분석했다.

    public static <T extends Comparable<? super T>> void sort(List<T> list) {
        list.sort(null);
    }

Collections.sort()도 결국은 Array로 변환해 Arrays.sort를 호출한다

    default void sort(Comparator<? super E> c) {
        Object[] a = this.toArray();
        Arrays.sort(a, (Comparator) c);
        ListIterator<E> i = this.listIterator();
        for (Object e : a) {
            i.next();
            i.set((E) e);
        }
    }

Comparator가 있을 경우, LegacyMergerSort.userRequested 는 false로 TimSort를 수행한다

    public static <T> void sort(T[] a, Comparator<? super T> c) {
        if (c == null) {
            sort(a);
        } else {
            if (LegacyMergeSort.userRequested)
                legacyMergeSort(a, c);
            else
                TimSort.sort(a, 0, a.length, c, null, 0, 0);
        }
    }

Comparator가 없을 경우, LegacyMergerSort.userRequested 는 false로 ComparableTimSort를 수행한다

 

    public static void sort(Object[] a) {
        if (LegacyMergeSort.userRequested)
            legacyMergeSort(a);
        else
            ComparableTimSort.sort(a, 0, a.length, null, 0, 0);
    }

 

Comparartor가 있던 없던, TimSort과 ComparableTimSort 내부에서 countRunAndMakeAscending, binarySort를 실행한다.

    static <T> void sort(T[] a, int lo, int hi, Comparator<? super T> c,
                         T[] work, int workBase, int workLen) {
        assert c != null && a != null && lo >= 0 && lo <= hi && hi <= a.length;

        int nRemaining  = hi - lo;
        if (nRemaining < 2)
            return;  // Arrays of size 0 and 1 are always sorted

        // If array is small, do a "mini-TimSort" with no merges
        if (nRemaining < MIN_MERGE) {
            int initRunLen = countRunAndMakeAscending(a, lo, hi, c);
            binarySort(a, lo, hi, lo + initRunLen, c);
            return;
        }

        /**
         * March over the array once, left to right, finding natural runs,
         * extending short natural runs to minRun elements, and merging runs
         * to maintain stack invariant.
         */
        TimSort<T> ts = new TimSort<>(a, c, work, workBase, workLen);
        int minRun = minRunLength(nRemaining);
        do {
            // Identify next run
            int runLen = countRunAndMakeAscending(a, lo, hi, c);

            // If run is short, extend to min(minRun, nRemaining)
            if (runLen < minRun) {
                int force = nRemaining <= minRun ? nRemaining : minRun;
                binarySort(a, lo, lo + force, lo + runLen, c);
                runLen = force;
            }

            // Push run onto pending-run stack, and maybe merge
            ts.pushRun(lo, runLen);
            ts.mergeCollapse();

            // Advance to find next run
            lo += runLen;
            nRemaining -= runLen;
        } while (nRemaining != 0);

        // Merge all remaining runs to complete sort
        assert lo == hi;
        ts.mergeForceCollapse();
        assert ts.stackSize == 1;
    }

여기서 compareTo가 실행된다. 

    private static int countRunAndMakeAscending(Object[] a, int lo, int hi) {
        assert lo < hi;
        int runHi = lo + 1;
        if (runHi == hi)
            return 1;

        // Find end of run, and reverse range if descending
        if (((Comparable) a[runHi++]).compareTo(a[lo]) < 0) { // Descending
            while (runHi < hi && ((Comparable) a[runHi]).compareTo(a[runHi - 1]) < 0)
                runHi++;
            reverseRange(a, lo, runHi);
        } else {                              // Ascending
            while (runHi < hi && ((Comparable) a[runHi]).compareTo(a[runHi - 1]) >= 0)
                runHi++;
        }

        return runHi - lo;
    }

즉, compareTo는 이전 배열원소들이랑 비교하여 0보다 작은 값을 return하면 자리를 스왑한다!!!

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