diff options
Diffstat (limited to 'src/backend/utils/adt/selfuncs.c')
| -rw-r--r-- | src/backend/utils/adt/selfuncs.c | 44 |
1 files changed, 22 insertions, 22 deletions
diff --git a/src/backend/utils/adt/selfuncs.c b/src/backend/utils/adt/selfuncs.c index 7028d6387c7..6e491bbc21e 100644 --- a/src/backend/utils/adt/selfuncs.c +++ b/src/backend/utils/adt/selfuncs.c @@ -170,7 +170,7 @@ static double eqjoinsel_semi(Oid operator, VariableStatData *vardata1, VariableStatData *vardata2, RelOptInfo *inner_rel); static bool estimate_multivariate_ndistinct(PlannerInfo *root, - RelOptInfo *rel, List **varinfos, double *ndistinct); + RelOptInfo *rel, List **varinfos, double *ndistinct); static bool convert_to_scalar(Datum value, Oid valuetypid, double *scaledvalue, Datum lobound, Datum hibound, Oid boundstypid, double *scaledlobound, double *scaledhibound); @@ -3364,8 +3364,8 @@ estimate_num_groups(PlannerInfo *root, List *groupExprs, double input_rows, List *relvarinfos = NIL; /* - * Split the list of varinfos in two - one for the current rel, - * one for remaining Vars on other rels. + * Split the list of varinfos in two - one for the current rel, one + * for remaining Vars on other rels. */ relvarinfos = lcons(varinfo1, relvarinfos); for_each_cell(l, lnext(list_head(varinfos))) @@ -3388,9 +3388,9 @@ estimate_num_groups(PlannerInfo *root, List *groupExprs, double input_rows, * Get the numdistinct estimate for the Vars of this rel. We * iteratively search for multivariate n-distinct with maximum number * of vars; assuming that each var group is independent of the others, - * we multiply them together. Any remaining relvarinfos after - * no more multivariate matches are found are assumed independent too, - * so their individual ndistinct estimates are multiplied also. + * we multiply them together. Any remaining relvarinfos after no more + * multivariate matches are found are assumed independent too, so + * their individual ndistinct estimates are multiplied also. * * While iterating, count how many separate numdistinct values we * apply. We apply a fudge factor below, but only if we multiplied @@ -3410,7 +3410,7 @@ estimate_num_groups(PlannerInfo *root, List *groupExprs, double input_rows, } else { - foreach (l, relvarinfos) + foreach(l, relvarinfos) { GroupVarInfo *varinfo2 = (GroupVarInfo *) lfirst(l); @@ -3702,12 +3702,12 @@ estimate_multivariate_ndistinct(PlannerInfo *root, RelOptInfo *rel, } /* look for the ndistinct statistics matching the most vars */ - nmatches = 1; /* we require at least two matches */ + nmatches = 1; /* we require at least two matches */ foreach(lc, rel->statlist) { StatisticExtInfo *info = (StatisticExtInfo *) lfirst(lc); Bitmapset *shared; - int nshared; + int nshared; /* skip statistics of other kinds */ if (info->kind != STATS_EXT_NDISTINCT) @@ -3745,8 +3745,8 @@ estimate_multivariate_ndistinct(PlannerInfo *root, RelOptInfo *rel, */ if (stats) { - int i; - List *newlist = NIL; + int i; + List *newlist = NIL; MVNDistinctItem *item = NULL; /* Find the specific item that exactly matches the combination */ @@ -7766,8 +7766,8 @@ brincostestimate(PlannerInfo *root, IndexPath *path, double loop_count, * * Because we can use all index quals equally when scanning, we can use * the largest correlation (in absolute value) among columns used by the - * query. Start at zero, the worst possible case. If we cannot find - * any correlation statistics, we will keep it as 0. + * query. Start at zero, the worst possible case. If we cannot find any + * correlation statistics, we will keep it as 0. */ *indexCorrelation = 0; @@ -7790,7 +7790,7 @@ brincostestimate(PlannerInfo *root, IndexPath *path, double loop_count, */ if (HeapTupleIsValid(vardata.statsTuple) && !vardata.freefunc) elog(ERROR, - "no function provided to release variable stats with"); + "no function provided to release variable stats with"); } else { @@ -7813,11 +7813,11 @@ brincostestimate(PlannerInfo *root, IndexPath *path, double loop_count, attnum = qinfo->indexcol + 1; if (get_index_stats_hook && - (*get_index_stats_hook) (root, index->indexoid, attnum, &vardata)) + (*get_index_stats_hook) (root, index->indexoid, attnum, &vardata)) { /* - * The hook took control of acquiring a stats tuple. If it did - * supply a tuple, it'd better have supplied a freefunc. + * The hook took control of acquiring a stats tuple. If it + * did supply a tuple, it'd better have supplied a freefunc. */ if (HeapTupleIsValid(vardata.statsTuple) && !vardata.freefunc) @@ -7826,7 +7826,7 @@ brincostestimate(PlannerInfo *root, IndexPath *path, double loop_count, else { vardata.statsTuple = SearchSysCache3(STATRELATTINH, - ObjectIdGetDatum(index->indexoid), + ObjectIdGetDatum(index->indexoid), Int16GetDatum(attnum), BoolGetDatum(false)); vardata.freefunc = ReleaseSysCache; @@ -7872,8 +7872,8 @@ brincostestimate(PlannerInfo *root, IndexPath *path, double loop_count, /* * Now estimate the number of ranges that we'll touch by using the - * indexCorrelation from the stats. Careful not to divide by zero - * (note we're using the absolute value of the correlation). + * indexCorrelation from the stats. Careful not to divide by zero (note + * we're using the absolute value of the correlation). */ if (*indexCorrelation < 1.0e-10) estimatedRanges = indexRanges; @@ -7888,8 +7888,8 @@ brincostestimate(PlannerInfo *root, IndexPath *path, double loop_count, *indexSelectivity = selec; /* - * Compute the index qual costs, much as in genericcostestimate, to add - * to the index costs. + * Compute the index qual costs, much as in genericcostestimate, to add to + * the index costs. */ qual_arg_cost = other_operands_eval_cost(root, qinfos) + orderby_operands_eval_cost(root, path); |