1
0
mirror of https://github.com/postgres/postgres.git synced 2025-07-07 00:36:50 +03:00

Standard pgindent run for 8.1.

This commit is contained in:
Bruce Momjian
2005-10-15 02:49:52 +00:00
parent 790c01d280
commit 1dc3498251
770 changed files with 34334 additions and 32507 deletions

View File

@ -8,7 +8,7 @@
*
*
* IDENTIFICATION
* $PostgreSQL: pgsql/src/backend/optimizer/plan/planner.c,v 1.193 2005/09/24 22:54:37 tgl Exp $
* $PostgreSQL: pgsql/src/backend/optimizer/plan/planner.c,v 1.194 2005/10/15 02:49:20 momjian Exp $
*
*-------------------------------------------------------------------------
*/
@ -59,8 +59,8 @@ static void preprocess_qual_conditions(PlannerInfo *root, Node *jtnode);
static Plan *inheritance_planner(PlannerInfo *root, List *inheritlist);
static Plan *grouping_planner(PlannerInfo *root, double tuple_fraction);
static double preprocess_limit(PlannerInfo *root,
double tuple_fraction,
int *offset_est, int *count_est);
double tuple_fraction,
int *offset_est, int *count_est);
static bool choose_hashed_grouping(PlannerInfo *root, double tuple_fraction,
Path *cheapest_path, Path *sorted_path,
double dNumGroups, AggClauseCounts *agg_counts);
@ -95,14 +95,13 @@ planner(Query *parse, bool isCursor, int cursorOptions,
* these global state variables must be saved and restored.
*
* Query level and the param list cannot be moved into the per-query
* PlannerInfo structure since their whole purpose is communication
* across multiple sub-queries. Also, boundParams is explicitly info
* from outside the query, and so is likewise better handled as a global
* variable.
* PlannerInfo structure since their whole purpose is communication across
* multiple sub-queries. Also, boundParams is explicitly info from outside
* the query, and so is likewise better handled as a global variable.
*
* Note we do NOT save and restore PlannerPlanId: it exists to assign
* unique IDs to SubPlan nodes, and we want those IDs to be unique for
* the life of a backend. Also, PlannerInitPlan is saved/restored in
* Note we do NOT save and restore PlannerPlanId: it exists to assign unique
* IDs to SubPlan nodes, and we want those IDs to be unique for the life
* of a backend. Also, PlannerInitPlan is saved/restored in
* subquery_planner, not here.
*/
save_PlannerQueryLevel = PlannerQueryLevel;
@ -118,10 +117,10 @@ planner(Query *parse, bool isCursor, int cursorOptions,
if (isCursor)
{
/*
* We have no real idea how many tuples the user will ultimately
* FETCH from a cursor, but it seems a good bet that he doesn't
* want 'em all. Optimize for 10% retrieval (you gotta better
* number? Should this be a SETtable parameter?)
* We have no real idea how many tuples the user will ultimately FETCH
* from a cursor, but it seems a good bet that he doesn't want 'em
* all. Optimize for 10% retrieval (you gotta better number? Should
* this be a SETtable parameter?)
*/
tuple_fraction = 0.10;
}
@ -207,10 +206,10 @@ subquery_planner(Query *parse, double tuple_fraction,
root->parse = parse;
/*
* Look for IN clauses at the top level of WHERE, and transform them
* into joins. Note that this step only handles IN clauses originally
* at top level of WHERE; if we pull up any subqueries in the next
* step, their INs are processed just before pulling them up.
* Look for IN clauses at the top level of WHERE, and transform them into
* joins. Note that this step only handles IN clauses originally at top
* level of WHERE; if we pull up any subqueries in the next step, their
* INs are processed just before pulling them up.
*/
root->in_info_list = NIL;
if (parse->hasSubLinks)
@ -225,14 +224,14 @@ subquery_planner(Query *parse, double tuple_fraction,
pull_up_subqueries(root, (Node *) parse->jointree, false);
/*
* Detect whether any rangetable entries are RTE_JOIN kind; if not, we
* can avoid the expense of doing flatten_join_alias_vars(). Also
* check for outer joins --- if none, we can skip reduce_outer_joins()
* and some other processing. This must be done after we have done
* Detect whether any rangetable entries are RTE_JOIN kind; if not, we can
* avoid the expense of doing flatten_join_alias_vars(). Also check for
* outer joins --- if none, we can skip reduce_outer_joins() and some
* other processing. This must be done after we have done
* pull_up_subqueries, of course.
*
* Note: if reduce_outer_joins manages to eliminate all outer joins,
* root->hasOuterJoins is not reset currently. This is OK since its
* root->hasOuterJoins is not reset currently. This is OK since its
* purpose is merely to suppress unnecessary processing in simple cases.
*/
root->hasJoinRTEs = false;
@ -255,8 +254,8 @@ subquery_planner(Query *parse, double tuple_fraction,
/*
* Set hasHavingQual to remember if HAVING clause is present. Needed
* because preprocess_expression will reduce a constant-true condition
* to an empty qual list ... but "HAVING TRUE" is not a semantic no-op.
* because preprocess_expression will reduce a constant-true condition to
* an empty qual list ... but "HAVING TRUE" is not a semantic no-op.
*/
root->hasHavingQual = (parse->havingQual != NULL);
@ -292,29 +291,29 @@ subquery_planner(Query *parse, double tuple_fraction,
}
/*
* In some cases we may want to transfer a HAVING clause into WHERE.
* We cannot do so if the HAVING clause contains aggregates (obviously)
* or volatile functions (since a HAVING clause is supposed to be executed
* In some cases we may want to transfer a HAVING clause into WHERE. We
* cannot do so if the HAVING clause contains aggregates (obviously) or
* volatile functions (since a HAVING clause is supposed to be executed
* only once per group). Also, it may be that the clause is so expensive
* to execute that we're better off doing it only once per group, despite
* the loss of selectivity. This is hard to estimate short of doing the
* entire planning process twice, so we use a heuristic: clauses
* containing subplans are left in HAVING. Otherwise, we move or copy
* the HAVING clause into WHERE, in hopes of eliminating tuples before
* containing subplans are left in HAVING. Otherwise, we move or copy the
* HAVING clause into WHERE, in hopes of eliminating tuples before
* aggregation instead of after.
*
* If the query has explicit grouping then we can simply move such a
* clause into WHERE; any group that fails the clause will not be
* in the output because none of its tuples will reach the grouping
* or aggregation stage. Otherwise we must have a degenerate
* (variable-free) HAVING clause, which we put in WHERE so that
* query_planner() can use it in a gating Result node, but also keep
* in HAVING to ensure that we don't emit a bogus aggregated row.
* (This could be done better, but it seems not worth optimizing.)
* If the query has explicit grouping then we can simply move such a clause
* into WHERE; any group that fails the clause will not be in the output
* because none of its tuples will reach the grouping or aggregation
* stage. Otherwise we must have a degenerate (variable-free) HAVING
* clause, which we put in WHERE so that query_planner() can use it in a
* gating Result node, but also keep in HAVING to ensure that we don't
* emit a bogus aggregated row. (This could be done better, but it seems
* not worth optimizing.)
*
* Note that both havingQual and parse->jointree->quals are in
* implicitly-ANDed-list form at this point, even though they are
* declared as Node *.
* implicitly-ANDed-list form at this point, even though they are declared
* as Node *.
*/
newHaving = NIL;
foreach(l, (List *) parse->havingQual)
@ -346,28 +345,27 @@ subquery_planner(Query *parse, double tuple_fraction,
parse->havingQual = (Node *) newHaving;
/*
* If we have any outer joins, try to reduce them to plain inner
* joins. This step is most easily done after we've done expression
* If we have any outer joins, try to reduce them to plain inner joins.
* This step is most easily done after we've done expression
* preprocessing.
*/
if (root->hasOuterJoins)
reduce_outer_joins(root);
/*
* See if we can simplify the jointree; opportunities for this may
* come from having pulled up subqueries, or from flattening explicit
* JOIN syntax. We must do this after flattening JOIN alias
* variables, since eliminating explicit JOIN nodes from the jointree
* will cause get_relids_for_join() to fail. But it should happen
* after reduce_outer_joins, anyway.
* See if we can simplify the jointree; opportunities for this may come
* from having pulled up subqueries, or from flattening explicit JOIN
* syntax. We must do this after flattening JOIN alias variables, since
* eliminating explicit JOIN nodes from the jointree will cause
* get_relids_for_join() to fail. But it should happen after
* reduce_outer_joins, anyway.
*/
parse->jointree = (FromExpr *)
simplify_jointree(root, (Node *) parse->jointree);
/*
* Do the main planning. If we have an inherited target relation,
* that needs special processing, else go straight to
* grouping_planner.
* Do the main planning. If we have an inherited target relation, that
* needs special processing, else go straight to grouping_planner.
*/
if (parse->resultRelation &&
(lst = expand_inherited_rtentry(root, parse->resultRelation)) != NIL)
@ -377,8 +375,8 @@ subquery_planner(Query *parse, double tuple_fraction,
/*
* If any subplans were generated, or if we're inside a subplan, build
* initPlan list and extParam/allParam sets for plan nodes, and attach
* the initPlans to the top plan node.
* initPlan list and extParam/allParam sets for plan nodes, and attach the
* initPlans to the top plan node.
*/
if (PlannerPlanId != saved_planid || PlannerQueryLevel > 1)
SS_finalize_plan(plan, parse->rtable);
@ -405,9 +403,9 @@ static Node *
preprocess_expression(PlannerInfo *root, Node *expr, int kind)
{
/*
* Fall out quickly if expression is empty. This occurs often enough
* to be worth checking. Note that null->null is the correct conversion
* for implicit-AND result format, too.
* Fall out quickly if expression is empty. This occurs often enough to
* be worth checking. Note that null->null is the correct conversion for
* implicit-AND result format, too.
*/
if (expr == NULL)
return NULL;
@ -415,8 +413,7 @@ preprocess_expression(PlannerInfo *root, Node *expr, int kind)
/*
* If the query has any join RTEs, replace join alias variables with
* base-relation variables. We must do this before sublink processing,
* else sublinks expanded out from join aliases wouldn't get
* processed.
* else sublinks expanded out from join aliases wouldn't get processed.
*/
if (root->hasJoinRTEs)
expr = flatten_join_alias_vars(root, expr);
@ -429,13 +426,13 @@ preprocess_expression(PlannerInfo *root, Node *expr, int kind)
* careful to maintain AND/OR flatness --- that is, do not generate a tree
* with AND directly under AND, nor OR directly under OR.
*
* Because this is a relatively expensive process, we skip it when the
* query is trivial, such as "SELECT 2+2;" or "INSERT ... VALUES()".
* The expression will only be evaluated once anyway, so no point in
* Because this is a relatively expensive process, we skip it when the query
* is trivial, such as "SELECT 2+2;" or "INSERT ... VALUES()". The
* expression will only be evaluated once anyway, so no point in
* pre-simplifying; we can't execute it any faster than the executor can,
* and we will waste cycles copying the tree. Notice however that we
* still must do it for quals (to get AND/OR flatness); and if we are
* in a subquery we should not assume it will be done only once.
* still must do it for quals (to get AND/OR flatness); and if we are in a
* subquery we should not assume it will be done only once.
*/
if (root->parse->jointree->fromlist != NIL ||
kind == EXPRKIND_QUAL ||
@ -460,8 +457,8 @@ preprocess_expression(PlannerInfo *root, Node *expr, int kind)
expr = SS_process_sublinks(expr, (kind == EXPRKIND_QUAL));
/*
* XXX do not insert anything here unless you have grokked the
* comments in SS_replace_correlation_vars ...
* XXX do not insert anything here unless you have grokked the comments in
* SS_replace_correlation_vars ...
*/
/* Replace uplevel vars with Param nodes */
@ -469,9 +466,9 @@ preprocess_expression(PlannerInfo *root, Node *expr, int kind)
expr = SS_replace_correlation_vars(expr);
/*
* If it's a qual or havingQual, convert it to implicit-AND format.
* (We don't want to do this before eval_const_expressions, since the
* latter would be unable to simplify a top-level AND correctly. Also,
* If it's a qual or havingQual, convert it to implicit-AND format. (We
* don't want to do this before eval_const_expressions, since the latter
* would be unable to simplify a top-level AND correctly. Also,
* SS_process_sublinks expects explicit-AND format.)
*/
if (kind == EXPRKIND_QUAL)
@ -557,9 +554,9 @@ inheritance_planner(PlannerInfo *root, List *inheritlist)
Plan *subplan;
/*
* Generate modified query with this rel as target. We have to
* be prepared to translate varnos in in_info_list as well as in
* the Query proper.
* Generate modified query with this rel as target. We have to be
* prepared to translate varnos in in_info_list as well as in the
* Query proper.
*/
memcpy(&subroot, root, sizeof(PlannerInfo));
subroot.parse = (Query *)
@ -580,26 +577,26 @@ inheritance_planner(PlannerInfo *root, List *inheritlist)
* XXX my goodness this next bit is ugly. Really need to think about
* ways to rein in planner's habit of scribbling on its input.
*
* Planning of the subquery might have modified the rangetable,
* either by addition of RTEs due to expansion of inherited source
* tables, or by changes of the Query structures inside subquery
* RTEs. We have to ensure that this gets propagated back to the
* master copy. However, if we aren't done planning yet, we also
* need to ensure that subsequent calls to grouping_planner have
* virgin sub-Queries to work from. So, if we are at the last
* list entry, just copy the subquery rangetable back to the master
* copy; if we are not, then extend the master copy by adding
* whatever the subquery added. (We assume these added entries
* will go untouched by the future grouping_planner calls. We are
* also effectively assuming that sub-Queries will get planned
* identically each time, or at least that the impacts on their
* rangetables will be the same each time. Did I say this is ugly?)
* Planning of the subquery might have modified the rangetable, either by
* addition of RTEs due to expansion of inherited source tables, or by
* changes of the Query structures inside subquery RTEs. We have to
* ensure that this gets propagated back to the master copy. However,
* if we aren't done planning yet, we also need to ensure that
* subsequent calls to grouping_planner have virgin sub-Queries to
* work from. So, if we are at the last list entry, just copy the
* subquery rangetable back to the master copy; if we are not, then
* extend the master copy by adding whatever the subquery added. (We
* assume these added entries will go untouched by the future
* grouping_planner calls. We are also effectively assuming that
* sub-Queries will get planned identically each time, or at least
* that the impacts on their rangetables will be the same each time.
* Did I say this is ugly?)
*/
if (lnext(l) == NULL)
parse->rtable = subroot.parse->rtable;
else
{
int subrtlength = list_length(subroot.parse->rtable);
int subrtlength = list_length(subroot.parse->rtable);
if (subrtlength > mainrtlength)
{
@ -666,38 +663,37 @@ grouping_planner(PlannerInfo *root, double tuple_fraction)
List *set_sortclauses;
/*
* If there's a top-level ORDER BY, assume we have to fetch all
* the tuples. This might seem too simplistic given all the
* hackery below to possibly avoid the sort ... but a nonzero
* tuple_fraction is only of use to plan_set_operations() when
* the setop is UNION ALL, and the result of UNION ALL is always
* unsorted.
* If there's a top-level ORDER BY, assume we have to fetch all the
* tuples. This might seem too simplistic given all the hackery below
* to possibly avoid the sort ... but a nonzero tuple_fraction is only
* of use to plan_set_operations() when the setop is UNION ALL, and
* the result of UNION ALL is always unsorted.
*/
if (parse->sortClause)
tuple_fraction = 0.0;
/*
* Construct the plan for set operations. The result will not
* need any work except perhaps a top-level sort and/or LIMIT.
* Construct the plan for set operations. The result will not need
* any work except perhaps a top-level sort and/or LIMIT.
*/
result_plan = plan_set_operations(root, tuple_fraction,
&set_sortclauses);
/*
* Calculate pathkeys representing the sort order (if any) of the
* set operation's result. We have to do this before overwriting
* the sort key information...
* Calculate pathkeys representing the sort order (if any) of the set
* operation's result. We have to do this before overwriting the sort
* key information...
*/
current_pathkeys = make_pathkeys_for_sortclauses(set_sortclauses,
result_plan->targetlist);
result_plan->targetlist);
current_pathkeys = canonicalize_pathkeys(root, current_pathkeys);
/*
* We should not need to call preprocess_targetlist, since we must
* be in a SELECT query node. Instead, use the targetlist
* returned by plan_set_operations (since this tells whether it
* returned any resjunk columns!), and transfer any sort key
* information from the original tlist.
* We should not need to call preprocess_targetlist, since we must be
* in a SELECT query node. Instead, use the targetlist returned by
* plan_set_operations (since this tells whether it returned any
* resjunk columns!), and transfer any sort key information from the
* original tlist.
*/
Assert(parse->commandType == CMD_SELECT);
@ -741,11 +737,11 @@ grouping_planner(PlannerInfo *root, double tuple_fraction)
tlist = preprocess_targetlist(root, tlist);
/*
* Generate appropriate target list for subplan; may be different
* from tlist if grouping or aggregation is needed.
* Generate appropriate target list for subplan; may be different from
* tlist if grouping or aggregation is needed.
*/
sub_tlist = make_subplanTargetList(root, tlist,
&groupColIdx, &need_tlist_eval);
&groupColIdx, &need_tlist_eval);
/*
* Calculate pathkeys that represent grouping/ordering requirements.
@ -763,10 +759,10 @@ grouping_planner(PlannerInfo *root, double tuple_fraction)
* Note: we do not attempt to detect duplicate aggregates here; a
* somewhat-overestimated count is okay for our present purposes.
*
* Note: think not that we can turn off hasAggs if we find no aggs.
* It is possible for constant-expression simplification to remove
* all explicit references to aggs, but we still have to follow
* the aggregate semantics (eg, producing only one output row).
* Note: think not that we can turn off hasAggs if we find no aggs. It is
* possible for constant-expression simplification to remove all
* explicit references to aggs, but we still have to follow the
* aggregate semantics (eg, producing only one output row).
*/
if (parse->hasAggs)
{
@ -777,13 +773,12 @@ grouping_planner(PlannerInfo *root, double tuple_fraction)
/*
* Figure out whether we need a sorted result from query_planner.
*
* If we have a GROUP BY clause, then we want a result sorted
* properly for grouping. Otherwise, if there is an ORDER BY
* clause, we want to sort by the ORDER BY clause. (Note: if we
* have both, and ORDER BY is a superset of GROUP BY, it would be
* tempting to request sort by ORDER BY --- but that might just
* leave us failing to exploit an available sort order at all.
* Needs more thought...)
* If we have a GROUP BY clause, then we want a result sorted properly
* for grouping. Otherwise, if there is an ORDER BY clause, we want
* to sort by the ORDER BY clause. (Note: if we have both, and ORDER
* BY is a superset of GROUP BY, it would be tempting to request sort
* by ORDER BY --- but that might just leave us failing to exploit an
* available sort order at all. Needs more thought...)
*/
if (parse->groupClause)
root->query_pathkeys = root->group_pathkeys;
@ -793,10 +788,10 @@ grouping_planner(PlannerInfo *root, double tuple_fraction)
root->query_pathkeys = NIL;
/*
* Generate the best unsorted and presorted paths for this Query
* (but note there may not be any presorted path). query_planner
* will also estimate the number of groups in the query, and
* canonicalize all the pathkeys.
* Generate the best unsorted and presorted paths for this Query (but
* note there may not be any presorted path). query_planner will also
* estimate the number of groups in the query, and canonicalize all
* the pathkeys.
*/
query_planner(root, sub_tlist, tuple_fraction,
&cheapest_path, &sorted_path, &dNumGroups);
@ -820,8 +815,8 @@ grouping_planner(PlannerInfo *root, double tuple_fraction)
/*
* Select the best path. If we are doing hashed grouping, we will
* always read all the input tuples, so use the cheapest-total
* path. Otherwise, trust query_planner's decision about which to use.
* always read all the input tuples, so use the cheapest-total path.
* Otherwise, trust query_planner's decision about which to use.
*/
if (use_hashed_grouping || !sorted_path)
best_path = cheapest_path;
@ -829,10 +824,10 @@ grouping_planner(PlannerInfo *root, double tuple_fraction)
best_path = sorted_path;
/*
* Check to see if it's possible to optimize MIN/MAX aggregates.
* If so, we will forget all the work we did so far to choose a
* "regular" path ... but we had to do it anyway to be able to
* tell which way is cheaper.
* Check to see if it's possible to optimize MIN/MAX aggregates. If
* so, we will forget all the work we did so far to choose a "regular"
* path ... but we had to do it anyway to be able to tell which way is
* cheaper.
*/
result_plan = optimize_minmax_aggregates(root,
tlist,
@ -840,8 +835,8 @@ grouping_planner(PlannerInfo *root, double tuple_fraction)
if (result_plan != NULL)
{
/*
* optimize_minmax_aggregates generated the full plan, with
* the right tlist, and it has no sort order.
* optimize_minmax_aggregates generated the full plan, with the
* right tlist, and it has no sort order.
*/
current_pathkeys = NIL;
}
@ -985,8 +980,8 @@ grouping_planner(PlannerInfo *root, double tuple_fraction)
* GROUP BY without aggregation, so insert a group node (plus
* the appropriate sort node, if necessary).
*
* Add an explicit sort if we couldn't make the path come
* out the way the GROUP node needs it.
* Add an explicit sort if we couldn't make the path come out the
* way the GROUP node needs it.
*/
if (!pathkeys_contained_in(group_pathkeys, current_pathkeys))
{
@ -1014,11 +1009,12 @@ grouping_planner(PlannerInfo *root, double tuple_fraction)
* This is a degenerate case in which we are supposed to emit
* either 0 or 1 row depending on whether HAVING succeeds.
* Furthermore, there cannot be any variables in either HAVING
* or the targetlist, so we actually do not need the FROM table
* at all! We can just throw away the plan-so-far and generate
* a Result node. This is a sufficiently unusual corner case
* that it's not worth contorting the structure of this routine
* to avoid having to generate the plan in the first place.
* or the targetlist, so we actually do not need the FROM
* table at all! We can just throw away the plan-so-far and
* generate a Result node. This is a sufficiently unusual
* corner case that it's not worth contorting the structure of
* this routine to avoid having to generate the plan in the
* first place.
*/
result_plan = (Plan *) make_result(tlist,
parse->havingQual,
@ -1028,8 +1024,8 @@ grouping_planner(PlannerInfo *root, double tuple_fraction)
} /* end of if (setOperations) */
/*
* If we were not able to make the plan come out in the right order,
* add an explicit sort step.
* If we were not able to make the plan come out in the right order, add
* an explicit sort step.
*/
if (parse->sortClause)
{
@ -1051,9 +1047,9 @@ grouping_planner(PlannerInfo *root, double tuple_fraction)
result_plan = (Plan *) make_unique(result_plan, parse->distinctClause);
/*
* If there was grouping or aggregation, leave plan_rows as-is
* (ie, assume the result was already mostly unique). If not,
* use the number of distinct-groups calculated by query_planner.
* If there was grouping or aggregation, leave plan_rows as-is (ie,
* assume the result was already mostly unique). If not, use the
* number of distinct-groups calculated by query_planner.
*/
if (!parse->groupClause && !root->hasHavingQual && !parse->hasAggs)
result_plan->plan_rows = dNumGroups;
@ -1072,8 +1068,8 @@ grouping_planner(PlannerInfo *root, double tuple_fraction)
}
/*
* Return the actual output ordering in query_pathkeys for possible
* use by an outer query level.
* Return the actual output ordering in query_pathkeys for possible use by
* an outer query level.
*/
root->query_pathkeys = current_pathkeys;
@ -1084,7 +1080,7 @@ grouping_planner(PlannerInfo *root, double tuple_fraction)
* preprocess_limit - do pre-estimation for LIMIT and/or OFFSET clauses
*
* We try to estimate the values of the LIMIT/OFFSET clauses, and pass the
* results back in *count_est and *offset_est. These variables are set to
* results back in *count_est and *offset_est. These variables are set to
* 0 if the corresponding clause is not present, and -1 if it's present
* but we couldn't estimate the value for it. (The "0" convention is OK
* for OFFSET but a little bit bogus for LIMIT: effectively we estimate
@ -1093,7 +1089,7 @@ grouping_planner(PlannerInfo *root, double tuple_fraction)
* be passed to make_limit, which see if you change this code.
*
* The return value is the suitably adjusted tuple_fraction to use for
* planning the query. This adjustment is not overridable, since it reflects
* planning the query. This adjustment is not overridable, since it reflects
* plan actions that grouping_planner() will certainly take, not assumptions
* about context.
*/
@ -1120,7 +1116,7 @@ preprocess_limit(PlannerInfo *root, double tuple_fraction,
if (((Const *) est)->constisnull)
{
/* NULL indicates LIMIT ALL, ie, no limit */
*count_est = 0; /* treat as not present */
*count_est = 0; /* treat as not present */
}
else
{
@ -1143,7 +1139,7 @@ preprocess_limit(PlannerInfo *root, double tuple_fraction,
if (((Const *) est)->constisnull)
{
/* Treat NULL as no offset; the executor will too */
*offset_est = 0; /* treat as not present */
*offset_est = 0; /* treat as not present */
}
else
{
@ -1217,11 +1213,11 @@ preprocess_limit(PlannerInfo *root, double tuple_fraction,
else if (*offset_est != 0 && tuple_fraction > 0.0)
{
/*
* We have an OFFSET but no LIMIT. This acts entirely differently
* from the LIMIT case: here, we need to increase rather than
* decrease the caller's tuple_fraction, because the OFFSET acts
* to cause more tuples to be fetched instead of fewer. This only
* matters if we got a tuple_fraction > 0, however.
* We have an OFFSET but no LIMIT. This acts entirely differently
* from the LIMIT case: here, we need to increase rather than decrease
* the caller's tuple_fraction, because the OFFSET acts to cause more
* tuples to be fetched instead of fewer. This only matters if we got
* a tuple_fraction > 0, however.
*
* As above, use 10% if OFFSET is present but unestimatable.
*/
@ -1232,9 +1228,9 @@ preprocess_limit(PlannerInfo *root, double tuple_fraction,
/*
* If we have absolute counts from both caller and OFFSET, add them
* together; likewise if they are both fractional. If one is
* fractional and the other absolute, we want to take the larger,
* and we heuristically assume that's the fractional one.
* together; likewise if they are both fractional. If one is
* fractional and the other absolute, we want to take the larger, and
* we heuristically assume that's the fractional one.
*/
if (tuple_fraction >= 1.0)
{
@ -1260,7 +1256,7 @@ preprocess_limit(PlannerInfo *root, double tuple_fraction,
/* both fractional, so add them together */
tuple_fraction += limit_fraction;
if (tuple_fraction >= 1.0)
tuple_fraction = 0.0; /* assume fetch all */
tuple_fraction = 0.0; /* assume fetch all */
}
}
}
@ -1303,9 +1299,8 @@ choose_hashed_grouping(PlannerInfo *root, double tuple_fraction,
* Don't do it if it doesn't look like the hashtable will fit into
* work_mem.
*
* Beware here of the possibility that cheapest_path->parent is NULL.
* This could happen if user does something silly like
* SELECT 'foo' GROUP BY 1;
* Beware here of the possibility that cheapest_path->parent is NULL. This
* could happen if user does something silly like SELECT 'foo' GROUP BY 1;
*/
if (cheapest_path->parent)
{
@ -1314,8 +1309,8 @@ choose_hashed_grouping(PlannerInfo *root, double tuple_fraction,
}
else
{
cheapest_path_rows = 1; /* assume non-set result */
cheapest_path_width = 100; /* arbitrary */
cheapest_path_rows = 1; /* assume non-set result */
cheapest_path_width = 100; /* arbitrary */
}
/* Estimate per-hash-entry space at tuple width... */
@ -1329,23 +1324,19 @@ choose_hashed_grouping(PlannerInfo *root, double tuple_fraction,
return false;
/*
* See if the estimated cost is no more than doing it the other way.
* While avoiding the need for sorted input is usually a win, the fact
* that the output won't be sorted may be a loss; so we need to do an
* actual cost comparison.
* See if the estimated cost is no more than doing it the other way. While
* avoiding the need for sorted input is usually a win, the fact that the
* output won't be sorted may be a loss; so we need to do an actual cost
* comparison.
*
* We need to consider
* cheapest_path + hashagg [+ final sort]
* versus either
* cheapest_path [+ sort] + group or agg [+ final sort]
* or
* presorted_path + group or agg [+ final sort]
* where brackets indicate a step that may not be needed. We assume
* query_planner() will have returned a presorted path only if it's a
* winner compared to cheapest_path for this purpose.
* We need to consider cheapest_path + hashagg [+ final sort] versus either
* cheapest_path [+ sort] + group or agg [+ final sort] or presorted_path
* + group or agg [+ final sort] where brackets indicate a step that may
* not be needed. We assume query_planner() will have returned a presorted
* path only if it's a winner compared to cheapest_path for this purpose.
*
* These path variables are dummies that just hold cost fields; we don't
* make actual Paths for these steps.
* These path variables are dummies that just hold cost fields; we don't make
* actual Paths for these steps.
*/
cost_agg(&hashed_p, root, AGG_HASHED, agg_counts->numAggs,
numGroupCols, dNumGroups,
@ -1502,8 +1493,8 @@ make_subplanTargetList(PlannerInfo *root,
/*
* Otherwise, start with a "flattened" tlist (having just the vars
* mentioned in the targetlist and HAVING qual --- but not upper-
* level Vars; they will be replaced by Params later on).
* mentioned in the targetlist and HAVING qual --- but not upper- level
* Vars; they will be replaced by Params later on).
*/
sub_tlist = flatten_tlist(tlist);
extravars = pull_var_clause(parse->havingQual, false);
@ -1513,9 +1504,8 @@ make_subplanTargetList(PlannerInfo *root,
/*
* If grouping, create sub_tlist entries for all GROUP BY expressions
* (GROUP BY items that are simple Vars should be in the list
* already), and make an array showing where the group columns are in
* the sub_tlist.
* (GROUP BY items that are simple Vars should be in the list already),
* and make an array showing where the group columns are in the sub_tlist.
*/
numCols = list_length(parse->groupClause);
if (numCols > 0)
@ -1634,7 +1624,7 @@ postprocess_setop_tlist(List *new_tlist, List *orig_tlist)
Assert(orig_tlist_item != NULL);
orig_tle = (TargetEntry *) lfirst(orig_tlist_item);
orig_tlist_item = lnext(orig_tlist_item);
if (orig_tle->resjunk) /* should not happen */
if (orig_tle->resjunk) /* should not happen */
elog(ERROR, "resjunk output columns are not implemented");
Assert(new_tle->resno == orig_tle->resno);
new_tle->ressortgroupref = orig_tle->ressortgroupref;