xfs: improve xfarray quicksort pivot
Now that we have the means to do insertion sorts of small in-memory subsets of an xfarray, use it to improve the quicksort pivot algorithm by reading 7 records into memory and finding the median of that. This should prevent bad partitioning when a[lo] and a[hi] end up next to each other in the final sort, which can happen when sorting for cntbt repair when the free space is extremely fragmented (e.g. generic/176). This doesn't speed up the average quicksort run by much, but it will (hopefully) avoid the quadratic time collapse for which quicksort is famous. Signed-off-by: Darrick J. Wong <djwong@kernel.org> Reviewed-by: Kent Overstreet <kent.overstreet@linux.dev> Reviewed-by: Dave Chinner <dchinner@redhat.com>
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@ -427,6 +427,14 @@ static inline xfarray_idx_t *xfarray_sortinfo_hi(struct xfarray_sortinfo *si)
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return xfarray_sortinfo_lo(si) + si->max_stack_depth;
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}
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/* Size of each element in the quicksort pivot array. */
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static inline size_t
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xfarray_pivot_rec_sz(
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struct xfarray *array)
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{
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return round_up(array->obj_size, 8) + sizeof(xfarray_idx_t);
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}
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/* Allocate memory to handle the sort. */
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static inline int
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xfarray_sortinfo_alloc(
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@ -437,8 +445,16 @@ xfarray_sortinfo_alloc(
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{
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struct xfarray_sortinfo *si;
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size_t nr_bytes = sizeof(struct xfarray_sortinfo);
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size_t pivot_rec_sz = xfarray_pivot_rec_sz(array);
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int max_stack_depth;
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/*
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* The median-of-nine pivot algorithm doesn't work if a subset has
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* fewer than 9 items. Make sure the in-memory sort will always take
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* over for subsets where this wouldn't be the case.
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*/
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BUILD_BUG_ON(XFARRAY_QSORT_PIVOT_NR >= XFARRAY_ISORT_NR);
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/*
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* Tail-call recursion during the partitioning phase means that
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* quicksort will never recurse more than log2(nr) times. We need one
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@ -453,8 +469,10 @@ xfarray_sortinfo_alloc(
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/* Each level of quicksort uses a lo and a hi index */
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nr_bytes += max_stack_depth * sizeof(xfarray_idx_t) * 2;
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/* Scratchpad for in-memory sort, or one record for the pivot */
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nr_bytes += (XFARRAY_ISORT_NR * array->obj_size);
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/* Scratchpad for in-memory sort, or finding the pivot */
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nr_bytes += max_t(size_t,
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(XFARRAY_QSORT_PIVOT_NR + 1) * pivot_rec_sz,
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XFARRAY_ISORT_NR * array->obj_size);
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si = kvzalloc(nr_bytes, XCHK_GFP_FLAGS);
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if (!si)
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@ -632,14 +650,43 @@ static inline void *xfarray_sortinfo_pivot(struct xfarray_sortinfo *si)
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return xfarray_sortinfo_hi(si) + si->max_stack_depth;
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}
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/* Return a pointer to the start of the pivot array. */
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static inline void *
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xfarray_sortinfo_pivot_array(
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struct xfarray_sortinfo *si)
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{
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return xfarray_sortinfo_pivot(si) + si->array->obj_size;
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}
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/* The xfarray record is stored at the start of each pivot array element. */
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static inline void *
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xfarray_pivot_array_rec(
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void *pa,
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size_t pa_recsz,
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unsigned int pa_idx)
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{
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return pa + (pa_recsz * pa_idx);
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}
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/* The xfarray index is stored at the end of each pivot array element. */
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static inline xfarray_idx_t *
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xfarray_pivot_array_idx(
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void *pa,
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size_t pa_recsz,
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unsigned int pa_idx)
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{
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return xfarray_pivot_array_rec(pa, pa_recsz, pa_idx + 1) -
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sizeof(xfarray_idx_t);
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}
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/*
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* Find a pivot value for quicksort partitioning, swap it with a[lo], and save
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* the cached pivot record for the next step.
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*
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* Select the median value from a[lo], a[mid], and a[hi]. Put the median in
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* a[lo], the lowest in a[mid], and the highest in a[hi]. Using the median of
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* the three reduces the chances that we pick the worst case pivot value, since
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* it's likely that our array values are nearly sorted.
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* Load evenly-spaced records within the given range into memory, sort them,
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* and choose the pivot from the median record. Using multiple points will
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* improve the quality of the pivot selection, and hopefully avoid the worst
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* quicksort behavior, since our array values are nearly always evenly sorted.
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*/
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STATIC int
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xfarray_qsort_pivot(
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@ -647,76 +694,99 @@ xfarray_qsort_pivot(
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xfarray_idx_t lo,
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xfarray_idx_t hi)
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{
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void *a = xfarray_sortinfo_pivot(si);
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void *b = xfarray_scratch(si->array);
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xfarray_idx_t mid = lo + ((hi - lo) / 2);
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void *pivot = xfarray_sortinfo_pivot(si);
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void *parray = xfarray_sortinfo_pivot_array(si);
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void *recp;
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xfarray_idx_t *idxp;
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xfarray_idx_t step = (hi - lo) / (XFARRAY_QSORT_PIVOT_NR - 1);
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size_t pivot_rec_sz = xfarray_pivot_rec_sz(si->array);
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int i, j;
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int error;
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/* if a[mid] < a[lo], swap a[mid] and a[lo]. */
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error = xfarray_sort_load(si, mid, a);
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if (error)
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return error;
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error = xfarray_sort_load(si, lo, b);
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if (error)
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return error;
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if (xfarray_sort_cmp(si, a, b) < 0) {
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error = xfarray_sort_store(si, lo, a);
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if (error)
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return error;
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error = xfarray_sort_store(si, mid, b);
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if (error)
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return error;
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}
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ASSERT(step > 0);
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/* if a[hi] < a[mid], swap a[mid] and a[hi]. */
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error = xfarray_sort_load(si, hi, a);
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if (error)
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return error;
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error = xfarray_sort_load(si, mid, b);
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if (error)
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return error;
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if (xfarray_sort_cmp(si, a, b) < 0) {
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error = xfarray_sort_store(si, mid, a);
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if (error)
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return error;
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error = xfarray_sort_store(si, hi, b);
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if (error)
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return error;
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} else {
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goto move_front;
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}
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/* if a[mid] < a[lo], swap a[mid] and a[lo]. */
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error = xfarray_sort_load(si, mid, a);
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if (error)
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return error;
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error = xfarray_sort_load(si, lo, b);
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if (error)
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return error;
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if (xfarray_sort_cmp(si, a, b) < 0) {
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error = xfarray_sort_store(si, lo, a);
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if (error)
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return error;
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error = xfarray_sort_store(si, mid, b);
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if (error)
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return error;
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}
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move_front:
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/*
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* Move our selected pivot to a[lo]. Recall that a == si->pivot, so
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* this leaves us with the pivot cached in the sortinfo structure.
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* Load the xfarray indexes of the records we intend to sample into the
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* pivot array.
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*/
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error = xfarray_sort_load(si, lo, b);
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idxp = xfarray_pivot_array_idx(parray, pivot_rec_sz, 0);
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*idxp = lo;
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for (i = 1; i < XFARRAY_QSORT_PIVOT_NR - 1; i++) {
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idxp = xfarray_pivot_array_idx(parray, pivot_rec_sz, i);
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*idxp = lo + (i * step);
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}
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idxp = xfarray_pivot_array_idx(parray, pivot_rec_sz,
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XFARRAY_QSORT_PIVOT_NR - 1);
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*idxp = hi;
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/* Load the selected xfarray records into the pivot array. */
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for (i = 0; i < XFARRAY_QSORT_PIVOT_NR; i++) {
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xfarray_idx_t idx;
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recp = xfarray_pivot_array_rec(parray, pivot_rec_sz, i);
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idxp = xfarray_pivot_array_idx(parray, pivot_rec_sz, i);
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/* No unset records; load directly into the array. */
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if (likely(si->array->unset_slots == 0)) {
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error = xfarray_sort_load(si, *idxp, recp);
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if (error)
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return error;
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continue;
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}
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/*
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* Load non-null records into the scratchpad without changing
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* the xfarray_idx_t in the pivot array.
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*/
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idx = *idxp;
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xfarray_sort_bump_loads(si);
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error = xfarray_load_next(si->array, &idx, recp);
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if (error)
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return error;
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}
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xfarray_sort_bump_heapsorts(si);
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sort(parray, XFARRAY_QSORT_PIVOT_NR, pivot_rec_sz, si->cmp_fn, NULL);
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/*
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* We sorted the pivot array records (which includes the xfarray
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* indices) in xfarray record order. The median element of the pivot
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* array contains the xfarray record that we will use as the pivot.
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* Copy that xfarray record to the designated space.
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*/
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recp = xfarray_pivot_array_rec(parray, pivot_rec_sz,
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XFARRAY_QSORT_PIVOT_NR / 2);
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memcpy(pivot, recp, si->array->obj_size);
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/* If the pivot record we chose was already in a[lo] then we're done. */
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idxp = xfarray_pivot_array_idx(parray, pivot_rec_sz,
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XFARRAY_QSORT_PIVOT_NR / 2);
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if (*idxp == lo)
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return 0;
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/*
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* Find the cached copy of a[lo] in the pivot array so that we can swap
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* a[lo] and a[pivot].
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*/
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for (i = 0, j = -1; i < XFARRAY_QSORT_PIVOT_NR; i++) {
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idxp = xfarray_pivot_array_idx(parray, pivot_rec_sz, i);
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if (*idxp == lo)
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j = i;
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}
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if (j < 0) {
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ASSERT(j >= 0);
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return -EFSCORRUPTED;
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}
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/* Swap a[lo] and a[pivot]. */
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error = xfarray_sort_store(si, lo, pivot);
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if (error)
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return error;
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error = xfarray_sort_load(si, mid, a);
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if (error)
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return error;
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error = xfarray_sort_store(si, mid, b);
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if (error)
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return error;
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return xfarray_sort_store(si, lo, a);
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recp = xfarray_pivot_array_rec(parray, pivot_rec_sz, j);
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idxp = xfarray_pivot_array_idx(parray, pivot_rec_sz,
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XFARRAY_QSORT_PIVOT_NR / 2);
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return xfarray_sort_store(si, *idxp, recp);
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}
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/*
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@ -828,7 +898,7 @@ xfarray_sort_load_cached(
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* particularly expensive in the kernel.
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*
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* 2. For arrays with records in arbitrary or user-controlled order, choose the
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* pivot element using a median-of-three decision tree. This reduces the
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* pivot element using a median-of-nine decision tree. This reduces the
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* probability of selecting a bad pivot value which causes worst case
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* behavior (i.e. partition sizes of 1).
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*
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@ -62,6 +62,9 @@ typedef cmp_func_t xfarray_cmp_fn;
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#define XFARRAY_ISORT_SHIFT (4)
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#define XFARRAY_ISORT_NR (1U << XFARRAY_ISORT_SHIFT)
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/* Evalulate this many points to find the qsort pivot. */
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#define XFARRAY_QSORT_PIVOT_NR (9)
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struct xfarray_sortinfo {
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struct xfarray *array;
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@ -91,7 +94,6 @@ struct xfarray_sortinfo {
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uint64_t compares;
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uint64_t heapsorts;
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#endif
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/*
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* Extra bytes are allocated beyond the end of the structure to store
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* quicksort information. C does not permit multiple VLAs per struct,
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@ -114,11 +116,18 @@ struct xfarray_sortinfo {
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* xfarray_rec_t scratch[ISORT_NR];
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*
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* Otherwise, we want to partition the records to partition the array.
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* We store the chosen pivot record here and use the xfarray scratchpad
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* to rearrange the array around the pivot:
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*
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* xfarray_rec_t pivot;
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* We store the chosen pivot record at the start of the scratchpad area
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* and use the rest to sample some records to estimate the median.
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* The format of the qsort_pivot array enables us to use the kernel
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* heapsort function to place the median value in the middle.
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*
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* struct {
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* xfarray_rec_t pivot;
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* struct {
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* xfarray_rec_t rec; (rounded up to 8 bytes)
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* xfarray_idx_t idx;
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* } qsort_pivot[QSORT_PIVOT_NR];
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* };
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* }
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*/
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};
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