From: Tom Lane Date: Thu, 30 Jul 2015 16:11:23 +0000 (-0400) Subject: Avoid some zero-divide hazards in the planner. X-Git-Tag: REL9_0_23~69 X-Git-Url: http://git.ipfire.org/?a=commitdiff_plain;h=54833c5e772ee0e8461269e1b40ab6b9fae4b1cd;p=thirdparty%2Fpostgresql.git Avoid some zero-divide hazards in the planner. Although I think on all modern machines floating division by zero results in Infinity not SIGFPE, we still don't want infinities running around in the planner's costing estimates; too much risk of that leading to insane behavior. grouping_planner() failed to consider the possibility that final_rel might be known dummy and hence have zero rowcount. (I wonder if it would be better to set a rows estimate of 1 for dummy relations? But at least in the back branches, changing this convention seems like a bad idea, so I'll leave that for another day.) Make certain that get_variable_numdistinct() produces a nonzero result. The case that can be shown to be broken is with stadistinct < 0.0 and small ntuples; we did not prevent the result from rounding to zero. For good luck I applied clamp_row_est() to all the nonconstant return values. In ExecChooseHashTableSize(), Assert that we compute positive nbuckets and nbatch. I know of no reason to think this isn't the case, but it seems like a good safety check. Per reports from Piotr Stefaniak. Back-patch to all active branches. --- diff --git a/src/backend/executor/nodeHash.c b/src/backend/executor/nodeHash.c index fb6cab9451a..1597211ad89 100644 --- a/src/backend/executor/nodeHash.c +++ b/src/backend/executor/nodeHash.c @@ -508,6 +508,9 @@ ExecChooseHashTableSize(double ntuples, int tupwidth, bool useskew, i++; nbuckets = (1 << i); + Assert(nbuckets > 0); + Assert(nbatch > 0); + *numbuckets = nbuckets; *numbatches = nbatch; } diff --git a/src/backend/optimizer/plan/planmain.c b/src/backend/optimizer/plan/planmain.c index 6a5eb6e2625..78b16f52931 100644 --- a/src/backend/optimizer/plan/planmain.c +++ b/src/backend/optimizer/plan/planmain.c @@ -364,7 +364,7 @@ query_planner(PlannerInfo *root, List *tlist, * can be divided by the number of tuples. */ if (tuple_fraction >= 1.0) - tuple_fraction /= final_rel->rows; + tuple_fraction /= clamp_row_est(final_rel->rows); } /* diff --git a/src/backend/optimizer/plan/planner.c b/src/backend/optimizer/plan/planner.c index c959e1d4aba..ec923fbb773 100644 --- a/src/backend/optimizer/plan/planner.c +++ b/src/backend/optimizer/plan/planner.c @@ -1116,11 +1116,14 @@ grouping_planner(PlannerInfo *root, double tuple_fraction) /* * Extract rowcount and width estimates for possible use in grouping * decisions. Beware here of the possibility that - * cheapest_path->parent is NULL (ie, there is no FROM clause). + * cheapest_path->parent is NULL (ie, there is no FROM clause). Also, + * if the final rel has been proven dummy, its rows estimate will be + * zero; clamp it to one to avoid zero-divide in subsequent + * calculations. */ if (cheapest_path->parent) { - path_rows = cheapest_path->parent->rows; + path_rows = clamp_row_est(cheapest_path->parent->rows); path_width = cheapest_path->parent->width; } else diff --git a/src/backend/utils/adt/selfuncs.c b/src/backend/utils/adt/selfuncs.c index b6cbbc9c078..032116acb3d 100644 --- a/src/backend/utils/adt/selfuncs.c +++ b/src/backend/utils/adt/selfuncs.c @@ -4337,8 +4337,8 @@ examine_variable(PlannerInfo *root, Node *node, int varRelid, * * vardata: results of examine_variable * - * NB: be careful to produce an integral result, since callers may compare - * the result to exact integer counts. + * NB: be careful to produce a positive integral result, since callers may + * compare the result to exact integer counts, or might divide by it. */ double get_variable_numdistinct(VariableStatData *vardata) @@ -4412,7 +4412,7 @@ get_variable_numdistinct(VariableStatData *vardata) * If we had an absolute estimate, use that. */ if (stadistinct > 0.0) - return stadistinct; + return clamp_row_est(stadistinct); /* * Otherwise we need to get the relation size; punt if not available. @@ -4427,14 +4427,14 @@ get_variable_numdistinct(VariableStatData *vardata) * If we had a relative estimate, use that. */ if (stadistinct < 0.0) - return floor((-stadistinct * ntuples) + 0.5); + return clamp_row_est(-stadistinct * ntuples); /* * With no data, estimate ndistinct = ntuples if the table is small, else * use default. */ if (ntuples < DEFAULT_NUM_DISTINCT) - return ntuples; + return clamp_row_est(ntuples); return DEFAULT_NUM_DISTINCT; }