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Invent qsort_interruptible().
Justin Pryzby reported that some scenarios could cause gathering of extended statistics to spend many seconds in an un-cancelable qsort() operation. To fix, invent qsort_interruptible(), which is just like qsort_arg() except that it will also do CHECK_FOR_INTERRUPTS every so often. This bloats the backend by a couple of kB, which seems like a good investment. (We considered just enabling CHECK_FOR_INTERRUPTS in the existing qsort and qsort_arg functions, but there are some callers for which that'd demonstrably be unsafe. Opt-in seems like a better way.) For now, just apply qsort_interruptible() in statistics collection. There's probably more places where it could be useful, but we can always change other call sites as we find problems. Back-patch to v14. Before that we didn't have extended stats on expressions, so that the problem was less severe. Also, this patch depends on the sort_template infrastructure introduced in v14. Tom Lane and Justin Pryzby Discussion: https://postgr.es/m/20220509000108.GQ28830@telsasoft.com
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@ -100,7 +100,7 @@ static VacAttrStats *examine_attribute(Relation onerel, int attnum,
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static int acquire_sample_rows(Relation onerel, int elevel,
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HeapTuple *rows, int targrows,
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double *totalrows, double *totaldeadrows);
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static int compare_rows(const void *a, const void *b);
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static int compare_rows(const void *a, const void *b, void *arg);
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static int acquire_inherited_sample_rows(Relation onerel, int elevel,
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HeapTuple *rows, int targrows,
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double *totalrows, double *totaldeadrows);
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@ -1306,7 +1306,8 @@ acquire_sample_rows(Relation onerel, int elevel,
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* tuples are already sorted.
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*/
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if (numrows == targrows)
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qsort((void *) rows, numrows, sizeof(HeapTuple), compare_rows);
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qsort_interruptible((void *) rows, numrows, sizeof(HeapTuple),
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compare_rows, NULL);
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/*
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* Estimate total numbers of live and dead rows in relation, extrapolating
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@ -1342,10 +1343,10 @@ acquire_sample_rows(Relation onerel, int elevel,
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}
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/*
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* qsort comparator for sorting rows[] array
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* Comparator for sorting rows[] array
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*/
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static int
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compare_rows(const void *a, const void *b)
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compare_rows(const void *a, const void *b, void *arg)
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{
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HeapTuple ha = *(const HeapTuple *) a;
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HeapTuple hb = *(const HeapTuple *) b;
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@ -1839,7 +1840,7 @@ static void compute_scalar_stats(VacAttrStatsP stats,
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int samplerows,
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double totalrows);
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static int compare_scalars(const void *a, const void *b, void *arg);
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static int compare_mcvs(const void *a, const void *b);
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static int compare_mcvs(const void *a, const void *b, void *arg);
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static int analyze_mcv_list(int *mcv_counts,
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int num_mcv,
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double stadistinct,
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@ -2476,8 +2477,8 @@ compute_scalar_stats(VacAttrStatsP stats,
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/* Sort the collected values */
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cxt.ssup = &ssup;
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cxt.tupnoLink = tupnoLink;
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qsort_arg((void *) values, values_cnt, sizeof(ScalarItem),
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compare_scalars, (void *) &cxt);
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qsort_interruptible((void *) values, values_cnt, sizeof(ScalarItem),
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compare_scalars, (void *) &cxt);
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/*
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* Now scan the values in order, find the most common ones, and also
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@ -2721,8 +2722,8 @@ compute_scalar_stats(VacAttrStatsP stats,
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deltafrac;
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/* Sort the MCV items into position order to speed next loop */
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qsort((void *) track, num_mcv,
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sizeof(ScalarMCVItem), compare_mcvs);
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qsort_interruptible((void *) track, num_mcv, sizeof(ScalarMCVItem),
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compare_mcvs, NULL);
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/*
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* Collapse out the MCV items from the values[] array.
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@ -2885,7 +2886,7 @@ compute_scalar_stats(VacAttrStatsP stats,
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}
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/*
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* qsort_arg comparator for sorting ScalarItems
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* Comparator for sorting ScalarItems
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*
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* Aside from sorting the items, we update the tupnoLink[] array
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* whenever two ScalarItems are found to contain equal datums. The array
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@ -2922,10 +2923,10 @@ compare_scalars(const void *a, const void *b, void *arg)
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}
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/*
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* qsort comparator for sorting ScalarMCVItems by position
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* Comparator for sorting ScalarMCVItems by position
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*/
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static int
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compare_mcvs(const void *a, const void *b)
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compare_mcvs(const void *a, const void *b, void *arg)
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{
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int da = ((const ScalarMCVItem *) a)->first;
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int db = ((const ScalarMCVItem *) b)->first;
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