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Remove open-coded binary heap in pg_dump_sort.c.
Thanks to commit 5af0263afd, binaryheap is available to frontend code. This commit replaces the open-coded heap implementation in pg_dump_sort.c with a binaryheap, saving a few lines of code. Reviewed-by: Tom Lane Discussion: https://postgr.es/m/3612876.1689443232%40sss.pgh.pa.us
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@ -16,6 +16,7 @@
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#include "postgres_fe.h"
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#include "catalog/pg_class_d.h"
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#include "lib/binaryheap.h"
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#include "pg_backup_archiver.h"
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#include "pg_backup_utils.h"
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#include "pg_dump.h"
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@ -161,8 +162,6 @@ static bool TopoSort(DumpableObject **objs,
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int numObjs,
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DumpableObject **ordering,
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int *nOrdering);
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static void addHeapElement(int val, int *heap, int heapLength);
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static int removeHeapElement(int *heap, int heapLength);
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static void findDependencyLoops(DumpableObject **objs, int nObjs, int totObjs);
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static int findLoop(DumpableObject *obj,
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DumpId startPoint,
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@ -174,6 +173,7 @@ static void repairDependencyLoop(DumpableObject **loop,
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int nLoop);
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static void describeDumpableObject(DumpableObject *obj,
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char *buf, int bufsize);
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static int int_cmp(void *a, void *b, void *arg);
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/*
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@ -374,11 +374,10 @@ TopoSort(DumpableObject **objs,
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int *nOrdering) /* output argument */
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{
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DumpId maxDumpId = getMaxDumpId();
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int *pendingHeap;
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binaryheap *pendingHeap;
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int *beforeConstraints;
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int *idMap;
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DumpableObject *obj;
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int heapLength;
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int i,
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j,
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k;
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@ -403,7 +402,7 @@ TopoSort(DumpableObject **objs,
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return true;
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/* Create workspace for the above-described heap */
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pendingHeap = (int *) pg_malloc(numObjs * sizeof(int));
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pendingHeap = binaryheap_allocate(numObjs, int_cmp, NULL);
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/*
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* Scan the constraints, and for each item in the input, generate a count
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@ -434,19 +433,16 @@ TopoSort(DumpableObject **objs,
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* Now initialize the heap of items-ready-to-output by filling it with the
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* indexes of items that already have beforeConstraints[id] == 0.
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*
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* The essential property of a heap is heap[(j-1)/2] >= heap[j] for each j
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* in the range 1..heapLength-1 (note we are using 0-based subscripts
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* here, while the discussion in Knuth assumes 1-based subscripts). So, if
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* we simply enter the indexes into pendingHeap[] in decreasing order, we
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* a-fortiori have the heap invariant satisfied at completion of this
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* loop, and don't need to do any sift-up comparisons.
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* We enter the indexes into pendingHeap in decreasing order so that the
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* heap invariant is satisfied at the completion of this loop. This
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* reduces the amount of work that binaryheap_build() must do.
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*/
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heapLength = 0;
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for (i = numObjs; --i >= 0;)
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{
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if (beforeConstraints[objs[i]->dumpId] == 0)
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pendingHeap[heapLength++] = i;
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binaryheap_add_unordered(pendingHeap, (void *) (intptr_t) i);
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}
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binaryheap_build(pendingHeap);
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/*--------------------
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* Now emit objects, working backwards in the output list. At each step,
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@ -464,10 +460,10 @@ TopoSort(DumpableObject **objs,
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*--------------------
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*/
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i = numObjs;
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while (heapLength > 0)
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while (!binaryheap_empty(pendingHeap))
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{
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/* Select object to output by removing largest heap member */
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j = removeHeapElement(pendingHeap, heapLength--);
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j = (int) (intptr_t) binaryheap_remove_first(pendingHeap);
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obj = objs[j];
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/* Output candidate to ordering[] */
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ordering[--i] = obj;
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@ -477,7 +473,7 @@ TopoSort(DumpableObject **objs,
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int id = obj->dependencies[k];
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if ((--beforeConstraints[id]) == 0)
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addHeapElement(idMap[id], pendingHeap, heapLength++);
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binaryheap_add(pendingHeap, (void *) (intptr_t) idMap[id]);
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}
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}
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@ -497,79 +493,13 @@ TopoSort(DumpableObject **objs,
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}
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/* Done */
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free(pendingHeap);
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binaryheap_free(pendingHeap);
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free(beforeConstraints);
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free(idMap);
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return (i == 0);
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}
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/*
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* Add an item to a heap (priority queue)
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*
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* heapLength is the current heap size; caller is responsible for increasing
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* its value after the call. There must be sufficient storage at *heap.
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*/
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static void
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addHeapElement(int val, int *heap, int heapLength)
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{
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int j;
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/*
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* Sift-up the new entry, per Knuth 5.2.3 exercise 16. Note that Knuth is
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* using 1-based array indexes, not 0-based.
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*/
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j = heapLength;
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while (j > 0)
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{
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int i = (j - 1) >> 1;
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if (val <= heap[i])
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break;
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heap[j] = heap[i];
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j = i;
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}
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heap[j] = val;
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}
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/*
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* Remove the largest item present in a heap (priority queue)
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*
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* heapLength is the current heap size; caller is responsible for decreasing
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* its value after the call.
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*
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* We remove and return heap[0], which is always the largest element of
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* the heap, and then "sift up" to maintain the heap invariant.
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*/
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static int
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removeHeapElement(int *heap, int heapLength)
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{
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int result = heap[0];
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int val;
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int i;
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if (--heapLength <= 0)
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return result;
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val = heap[heapLength]; /* value that must be reinserted */
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i = 0; /* i is where the "hole" is */
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for (;;)
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{
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int j = 2 * i + 1;
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if (j >= heapLength)
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break;
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if (j + 1 < heapLength &&
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heap[j] < heap[j + 1])
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j++;
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if (val >= heap[j])
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break;
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heap[i] = heap[j];
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i = j;
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}
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heap[i] = val;
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return result;
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}
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/*
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* findDependencyLoops - identify loops in TopoSort's failure output,
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* and pass each such loop to repairDependencyLoop() for action
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@ -1559,3 +1489,17 @@ describeDumpableObject(DumpableObject *obj, char *buf, int bufsize)
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(int) obj->objType,
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obj->dumpId, obj->catId.oid);
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}
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/* binaryheap comparator that compares "a" and "b" as integers */
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static int
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int_cmp(void *a, void *b, void *arg)
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{
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int ai = (int) (intptr_t) a;
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int bi = (int) (intptr_t) b;
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if (ai < bi)
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return -1;
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if (ai > bi)
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return 1;
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return 0;
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}
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