diff --git a/contrib/postgres_fdw/postgres_fdw.c b/contrib/postgres_fdw/postgres_fdw.c index 955a428e3d..9bd585788f 100644 --- a/contrib/postgres_fdw/postgres_fdw.c +++ b/contrib/postgres_fdw/postgres_fdw.c @@ -5760,7 +5760,8 @@ foreign_join_ok(PlannerInfo *root, RelOptInfo *joinrel, JoinType jointype, */ Assert(fpinfo->relation_index == 0); /* shouldn't be set yet */ fpinfo->relation_index = - list_length(root->parse->rtable) + list_length(root->join_rel_list); + list_length(root->parse->rtable) + + list_length(root->join_rel_list->items); return true; } diff --git a/src/backend/optimizer/README b/src/backend/optimizer/README index 41c120e0cd..2fd1a96269 100644 --- a/src/backend/optimizer/README +++ b/src/backend/optimizer/README @@ -1158,3 +1158,72 @@ breaking down aggregation or grouping over a partitioned relation into aggregation or grouping over its partitions is called partitionwise aggregation. Especially when the partition keys match the GROUP BY clause, this can be significantly faster than the regular method. + +Aggregate push-down +------------------- + +The obvious way to evaluate aggregates is to evaluate the FROM clause of the +SQL query (this is what query_planner does) and use the resulting paths as the +input of Agg node. However, if the groups are large enough, it may be more +efficient to apply the partial aggregation to the output of base relation +scan, and finalize it when we have all relations of the query joined: + + EXPLAIN + SELECT a.i, avg(b.y) + FROM a JOIN b ON b.j = a.i + GROUP BY a.i; + + Finalize HashAggregate + Group Key: a.i + -> Nested Loop + -> Partial HashAggregate + Group Key: b.j + -> Seq Scan on b + -> Index Only Scan using a_pkey on a + Index Cond: (i = b.j) + +Thus the join above the partial aggregate node receives fewer input rows, and +so the number of outer-to-inner pairs of tuples to be checked can be +significantly lower, which can in turn lead to considerably lower join cost. + +Note that there's often no GROUP BY expression to be used for the partial +aggregation, so we use equivalence classes to derive grouping expression: in +the example above, the grouping key "b.j" was derived from "a.i". + +Also note that in this case the partial aggregate uses the "b.j" as grouping +column although the column does not appear in the query target list. The point +is that "b.j" is needed to evaluate the join condition, and there's no other +way for the partial aggregate to emit its values. + +Besides base relation, the aggregation can also be pushed down to join: + + EXPLAIN + SELECT a.i, avg(b.y + c.v) + FROM a JOIN b ON b.j = a.i + JOIN c ON c.k = a.i + WHERE b.j = c.k GROUP BY a.i; + + Finalize HashAggregate + Group Key: a.i + -> Hash Join + Hash Cond: (b.j = a.i) + -> Partial HashAggregate + Group Key: b.j + -> Hash Join + Hash Cond: (b.j = c.k) + -> Seq Scan on b + -> Hash + -> Seq Scan on c + -> Hash + -> Seq Scan on a + +Whether the Agg node is created out of base relation or out of join, it's +added to a separate RelOptInfo that we call "grouped relation". Grouped +relation can be joined to a non-grouped relation, which results in a grouped +relation too. Join of two grouped relations does not seem to be very useful +and is currently not supported. + +If query_planner produces a grouped relation that contains valid paths, these +are simply added to the UPPERREL_PARTIAL_GROUP_AGG relation. Further +processing of these paths then does not differ from processing of other +partially grouped paths. diff --git a/src/backend/optimizer/geqo/geqo_eval.c b/src/backend/optimizer/geqo/geqo_eval.c index de695c0a78..9e3bea48c3 100644 --- a/src/backend/optimizer/geqo/geqo_eval.c +++ b/src/backend/optimizer/geqo/geqo_eval.c @@ -92,11 +92,11 @@ geqo_eval(PlannerInfo *root, Gene *tour, int num_gene) * * join_rel_level[] shouldn't be in use, so just Assert it isn't. */ - savelength = list_length(root->join_rel_list); - savehash = root->join_rel_hash; + savelength = list_length(root->join_rel_list->items); + savehash = root->join_rel_list->hash; Assert(root->join_rel_level == NULL); - root->join_rel_hash = NULL; + root->join_rel_list->hash = NULL; /* construct the best path for the given combination of relations */ joinrel = gimme_tree(root, tour, num_gene); @@ -121,9 +121,9 @@ geqo_eval(PlannerInfo *root, Gene *tour, int num_gene) * Restore join_rel_list to its former state, and put back original * hashtable if any. */ - root->join_rel_list = list_truncate(root->join_rel_list, - savelength); - root->join_rel_hash = savehash; + root->join_rel_list->items = list_truncate(root->join_rel_list->items, + savelength); + root->join_rel_list->hash = savehash; /* release all the memory acquired within gimme_tree */ MemoryContextSwitchTo(oldcxt); diff --git a/src/backend/optimizer/path/allpaths.c b/src/backend/optimizer/path/allpaths.c index e9342097e5..f9bb783949 100644 --- a/src/backend/optimizer/path/allpaths.c +++ b/src/backend/optimizer/path/allpaths.c @@ -61,6 +61,7 @@ typedef struct pushdown_safety_info /* These parameters are set by GUC */ bool enable_geqo = false; /* just in case GUC doesn't set it */ +bool enable_agg_pushdown; int geqo_threshold; int min_parallel_table_scan_size; int min_parallel_index_scan_size; @@ -74,6 +75,7 @@ join_search_hook_type join_search_hook = NULL; static void set_base_rel_consider_startup(PlannerInfo *root); static void set_base_rel_sizes(PlannerInfo *root); +static void setup_base_grouped_rels(PlannerInfo *root); static void set_base_rel_pathlists(PlannerInfo *root); static void set_rel_size(PlannerInfo *root, RelOptInfo *rel, Index rti, RangeTblEntry *rte); @@ -125,6 +127,9 @@ static void set_result_pathlist(PlannerInfo *root, RelOptInfo *rel, RangeTblEntry *rte); static void set_worktable_pathlist(PlannerInfo *root, RelOptInfo *rel, RangeTblEntry *rte); +static void add_grouped_path(PlannerInfo *root, RelOptInfo *rel, + Path *subpath, AggStrategy aggstrategy, + RelAggInfo *agg_info, bool partial); static RelOptInfo *make_rel_from_joinlist(PlannerInfo *root, List *joinlist); static bool subquery_is_pushdown_safe(Query *subquery, Query *topquery, pushdown_safety_info *safetyInfo); @@ -187,6 +192,13 @@ make_one_rel(PlannerInfo *root, List *joinlist) */ set_base_rel_sizes(root); + /* + * Now that the sizes are known, we can estimate the sizes of the grouped + * relations. + */ + if (root->grouped_var_list) + setup_base_grouped_rels(root); + /* * We should now have size estimates for every actual table involved in * the query, and we also know which if any have been deleted from the @@ -327,6 +339,48 @@ set_base_rel_sizes(PlannerInfo *root) } } +/* + * setup_based_grouped_rels + * For each "plain" relation build a grouped relation if aggregate pushdown + * is possible and if this relation is suitable for partial aggregation. + */ +static void +setup_base_grouped_rels(PlannerInfo *root) +{ + Index rti; + + for (rti = 1; rti < root->simple_rel_array_size; rti++) + { + RelOptInfo *brel = root->simple_rel_array[rti]; + RelOptInfo *rel_grouped; + RelAggInfo *agg_info; + + /* there may be empty slots corresponding to non-baserel RTEs */ + if (brel == NULL) + continue; + + Assert(brel->relid == rti); /* sanity check on array */ + + /* + * The aggregate push-down feature only makes sense if there are + * multiple base rels in the query. + */ + if (!bms_nonempty_difference(root->all_baserels, brel->relids)) + continue; + + /* ignore RTEs that are "other rels" */ + if (brel->reloptkind != RELOPT_BASEREL) + continue; + + rel_grouped = build_simple_grouped_rel(root, brel->relid, &agg_info); + if (rel_grouped) + { + /* Make the relation available for joining. */ + add_grouped_rel(root, rel_grouped, agg_info); + } + } +} + /* * set_base_rel_pathlists * Finds all paths available for scanning each base-relation entry. @@ -499,8 +553,21 @@ set_rel_pathlist(PlannerInfo *root, RelOptInfo *rel, } else { + RelOptInfo *rel_grouped; + RelAggInfo *agg_info; + /* Plain relation */ set_plain_rel_pathlist(root, rel, rte); + + /* Add paths to the grouped relation if one exists. */ + rel_grouped = find_grouped_rel(root, rel->relids, + &agg_info); + if (rel_grouped) + { + generate_grouping_paths(root, rel_grouped, rel, + agg_info); + set_cheapest(rel_grouped); + } } break; case RTE_SUBQUERY: @@ -3230,6 +3297,114 @@ generate_useful_gather_paths(PlannerInfo *root, RelOptInfo *rel, bool override_r } } +/* + * generate_grouping_paths + * Create partially aggregated paths and add them to grouped relation. + * + * "rel_plain" is base or join relation whose paths are not grouped. + */ +void +generate_grouping_paths(PlannerInfo *root, RelOptInfo *rel_grouped, + RelOptInfo *rel_plain, RelAggInfo *agg_info) +{ + ListCell *lc; + Path *path; + + if (IS_DUMMY_REL(rel_plain)) + { + mark_dummy_rel(rel_grouped); + return; + } + + foreach(lc, rel_plain->pathlist) + { + path = (Path *) lfirst(lc); + + /* + * Since the path originates from the non-grouped relation which is + * not aware of the aggregate push-down, we must ensure that it + * provides the correct input for aggregation. + */ + path = (Path *) create_projection_path(root, rel_grouped, path, + agg_info->agg_input); + + /* + * add_grouped_path() will check whether the path has suitable + * pathkeys. + */ + add_grouped_path(root, rel_grouped, path, AGG_SORTED, agg_info, + false); + + /* + * Repeated creation of hash table (for new parameter values) should + * be possible, does not sound like a good idea in terms of + * efficiency. + */ + if (path->param_info == NULL) + add_grouped_path(root, rel_grouped, path, AGG_HASHED, agg_info, + false); + } + + /* Could not generate any grouped paths? */ + if (rel_grouped->pathlist == NIL) + { + mark_dummy_rel(rel_grouped); + return; + } + + /* + * Almost the same for partial paths. + * + * The difference is that parameterized paths are never created, see + * add_partial_path() for explanation. + */ + foreach(lc, rel_plain->partial_pathlist) + { + path = (Path *) lfirst(lc); + + if (path->param_info != NULL) + continue; + + path = (Path *) create_projection_path(root, rel_grouped, path, + agg_info->agg_input); + + add_grouped_path(root, rel_grouped, path, AGG_SORTED, agg_info, + true); + add_grouped_path(root, rel_grouped, path, AGG_HASHED, agg_info, + true); + } +} + +/* + * Apply partial aggregation to a subpath and add the AggPath to the pathlist. + */ +static void +add_grouped_path(PlannerInfo *root, RelOptInfo *rel, Path *subpath, + AggStrategy aggstrategy, RelAggInfo *agg_info, + bool partial) +{ + Path *agg_path; + + + if (aggstrategy == AGG_HASHED) + agg_path = (Path *) create_agg_hashed_path(root, rel, subpath, + agg_info); + else if (aggstrategy == AGG_SORTED) + agg_path = (Path *) create_agg_sorted_path(root, rel, subpath, + agg_info); + else + elog(ERROR, "unexpected strategy %d", aggstrategy); + + /* Add the grouped path to the list of grouped base paths. */ + if (agg_path != NULL) + { + if (!partial) + add_path(rel, (Path *) agg_path); + else + add_partial_path(rel, (Path *) agg_path); + } +} + /* * make_rel_from_joinlist * Build access paths using a "joinlist" to guide the join path search. @@ -3371,6 +3546,7 @@ standard_join_search(PlannerInfo *root, int levels_needed, List *initial_rels) for (lev = 2; lev <= levels_needed; lev++) { + RelOptInfo *rel_grouped; ListCell *lc; /* @@ -3408,6 +3584,11 @@ standard_join_search(PlannerInfo *root, int levels_needed, List *initial_rels) /* Find and save the cheapest paths for this rel */ set_cheapest(rel); + /* The same for grouped relation if one exists. */ + rel_grouped = find_grouped_rel(root, rel->relids, NULL); + if (rel_grouped) + set_cheapest(rel_grouped); + #ifdef OPTIMIZER_DEBUG debug_print_rel(root, rel); #endif diff --git a/src/backend/optimizer/path/costsize.c b/src/backend/optimizer/path/costsize.c index fcc26b01a4..c377120cd3 100644 --- a/src/backend/optimizer/path/costsize.c +++ b/src/backend/optimizer/path/costsize.c @@ -5299,7 +5299,6 @@ set_baserel_size_estimates(PlannerInfo *root, RelOptInfo *rel) 0, JOIN_INNER, NULL); - rel->rows = clamp_row_est(nrows); cost_qual_eval(&rel->baserestrictcost, rel->baserestrictinfo, root); @@ -6318,11 +6317,11 @@ set_pathtarget_cost_width(PlannerInfo *root, PathTarget *target) foreach(lc, target->exprs) { Node *node = (Node *) lfirst(lc); + int32 item_width; if (IsA(node, Var)) { Var *var = (Var *) node; - int32 item_width; /* We should not see any upper-level Vars here */ Assert(var->varlevelsup == 0); @@ -6354,6 +6353,20 @@ set_pathtarget_cost_width(PlannerInfo *root, PathTarget *target) Assert(item_width > 0); tuple_width += item_width; } + else if (IsA(node, Aggref)) + { + /* + * If the target is evaluated by AggPath, it'll care of cost + * estimate. If the target is above AggPath (typically target of a + * join relation that contains grouped relation), the cost of + * Aggref should not be accounted for again. + * + * On the other hand, width is always needed. + */ + item_width = get_typavgwidth(exprType(node), exprTypmod(node)); + Assert(item_width > 0); + tuple_width += item_width; + } else { /* diff --git a/src/backend/optimizer/path/equivclass.c b/src/backend/optimizer/path/equivclass.c index 60c0e3f108..5ce8dd6c48 100644 --- a/src/backend/optimizer/path/equivclass.c +++ b/src/backend/optimizer/path/equivclass.c @@ -3148,6 +3148,136 @@ is_redundant_derived_clause(RestrictInfo *rinfo, List *clauselist) return false; } +/* + * translate_expression_to_rels + * If the appropriate equivalence classes exist, replace vars in + * gvi->gvexpr with vars whose varno is equal to relid. Return NULL if + * translation is not possible or needed. + * + * Note: Currently we only translate Var expressions. This is subject to + * change as the aggregate push-down feature gets enhanced. + */ +GroupedVarInfo * +translate_expression_to_rel(PlannerInfo *root, GroupedVarInfo *gvi, + Index relid) +{ + Var *var; + ListCell *l1; + bool found_orig = false; + Var *var_translated = NULL; + GroupedVarInfo *result; + + /* Can't do anything w/o equivalence classes. */ + if (root->eq_classes == NIL) + return NULL; + + var = castNode(Var, gvi->gvexpr); + + /* + * Do we need to translate the var? + */ + if (var->varno == relid) + return NULL; + + /* + * Find the replacement var. + */ + foreach(l1, root->eq_classes) + { + EquivalenceClass *ec = lfirst_node(EquivalenceClass, l1); + ListCell *l2; + + /* TODO Check if any other EC kind should be ignored. */ + if (ec->ec_has_volatile || ec->ec_below_outer_join || ec->ec_broken) + continue; + + /* Single-element EC can hardly help in translations. */ + if (list_length(ec->ec_members) == 1) + continue; + + /* + * Collect all vars of this EC and their varnos. + * + * ec->ec_relids does not help because we're only interested in a + * subset of EC members. + */ + foreach(l2, ec->ec_members) + { + EquivalenceMember *em = lfirst_node(EquivalenceMember, l2); + Var *ec_var; + + /* + * The grouping expressions derived here are used to evaluate + * possibility to push aggregation down to RELOPT_BASEREL or + * RELOPT_JOINREL relations, and to construct reltargets for the + * grouped rels. We're not interested at the moment whether the + * relations do have children. + */ + if (em->em_is_child) + continue; + + if (!IsA(em->em_expr, Var)) + continue; + + ec_var = castNode(Var, em->em_expr); + if (equal(ec_var, var)) + found_orig = true; + else if (ec_var->varno == relid) + var_translated = ec_var; + + if (found_orig && var_translated) + { + /* + * The replacement Var must have the same data type, otherwise + * the values are not guaranteed to be grouped in the same way + * as values of the original Var. + */ + if (ec_var->vartype != var->vartype) + return NULL; + + break; + } + } + + if (found_orig) + { + /* + * The same expression probably does not exist in multiple ECs. + */ + if (var_translated == NULL) + { + /* + * Failed to translate the expression. + */ + return NULL; + } + else + { + /* Success. */ + break; + } + } + else + { + /* + * Vars of the requested relid can be in the next ECs too. + */ + var_translated = NULL; + } + } + + if (!found_orig) + return NULL; + + result = makeNode(GroupedVarInfo); + memcpy(result, gvi, sizeof(GroupedVarInfo)); + + result->gv_eval_at = bms_make_singleton(relid); + result->gvexpr = (Expr *) var_translated; + + return result; +} + /* * is_redundant_with_indexclauses * Test whether rinfo is redundant with any clause in the IndexClause diff --git a/src/backend/optimizer/path/joinrels.c b/src/backend/optimizer/path/joinrels.c index 9da3ff2f9a..8bcdc4714c 100644 --- a/src/backend/optimizer/path/joinrels.c +++ b/src/backend/optimizer/path/joinrels.c @@ -21,6 +21,7 @@ #include "optimizer/paths.h" #include "partitioning/partbounds.h" #include "utils/memutils.h" +#include "utils/selfuncs.h" static void make_rels_by_clause_joins(PlannerInfo *root, @@ -35,6 +36,10 @@ static bool has_legal_joinclause(PlannerInfo *root, RelOptInfo *rel); static bool restriction_is_constant_false(List *restrictlist, RelOptInfo *joinrel, bool only_pushed_down); +static RelOptInfo *make_join_rel_common(PlannerInfo *root, RelOptInfo *rel1, + RelOptInfo *rel2, + RelAggInfo *agg_info, + RelOptInfo *rel_agg_input); static void populate_joinrel_with_paths(PlannerInfo *root, RelOptInfo *rel1, RelOptInfo *rel2, RelOptInfo *joinrel, SpecialJoinInfo *sjinfo, List *restrictlist); @@ -669,21 +674,20 @@ join_is_legal(PlannerInfo *root, RelOptInfo *rel1, RelOptInfo *rel2, return true; } - /* - * make_join_rel - * Find or create a join RelOptInfo that represents the join of - * the two given rels, and add to it path information for paths - * created with the two rels as outer and inner rel. - * (The join rel may already contain paths generated from other - * pairs of rels that add up to the same set of base rels.) + * make_join_rel_common + * The workhorse of make_join_rel(). + * + * 'agg_info' contains the reltarget of grouped relation and everything we + * need to aggregate the join result. If NULL, then the join relation should + * not be grouped. * - * NB: will return NULL if attempted join is not valid. This can happen - * when working with outer joins, or with IN or EXISTS clauses that have been - * turned into joins. + * 'rel_agg_input' describes the AggPath input relation if the join output + * should be aggregated. If NULL is passed, do not aggregate the join output. */ -RelOptInfo * -make_join_rel(PlannerInfo *root, RelOptInfo *rel1, RelOptInfo *rel2) +static RelOptInfo * +make_join_rel_common(PlannerInfo *root, RelOptInfo *rel1, RelOptInfo *rel2, + RelAggInfo *agg_info, RelOptInfo *rel_agg_input) { Relids joinrelids; SpecialJoinInfo *sjinfo; @@ -744,7 +748,7 @@ make_join_rel(PlannerInfo *root, RelOptInfo *rel1, RelOptInfo *rel2) * goes with this particular joining. */ joinrel = build_join_rel(root, joinrelids, rel1, rel2, sjinfo, - &restrictlist); + &restrictlist, agg_info); /* * If we've already proven this join is empty, we needn't consider any @@ -757,14 +761,175 @@ make_join_rel(PlannerInfo *root, RelOptInfo *rel1, RelOptInfo *rel2) } /* Add paths to the join relation. */ - populate_joinrel_with_paths(root, rel1, rel2, joinrel, sjinfo, - restrictlist); + if (rel_agg_input == NULL) + { + /* + * Simply join the input relations, whether both are plain or one of + * them is grouped. + */ + populate_joinrel_with_paths(root, rel1, rel2, joinrel, sjinfo, + restrictlist); + } + else + { + /* The join relation is grouped. */ + Assert(agg_info != NULL); + + /* + * Apply partial aggregation to the paths of rel_agg_input and add the + * resulting paths to joinrel. + */ + generate_grouping_paths(root, joinrel, rel_agg_input, agg_info); + } bms_free(joinrelids); return joinrel; } +/* + * make_join_rel_combined + * Join grouped relation to non-grouped one. + */ +static void +make_join_rel_combined(PlannerInfo *root, RelOptInfo *rel1, + RelOptInfo *rel2, + RelAggInfo *agg_info) +{ + RelOptInfo *rel1_grouped; + RelOptInfo *rel2_grouped; + bool rel1_grouped_useful = false; + bool rel2_grouped_useful = false; + + /* Retrieve the grouped relations. */ + rel1_grouped = find_grouped_rel(root, rel1->relids, NULL); + rel2_grouped = find_grouped_rel(root, rel2->relids, NULL); + + /* + * Dummy rel may indicate a join relation that is able to generate grouped + * paths as such (i.e. it has valid agg_info), but for which the path + * actually could not be created (e.g. only AGG_HASHED strategy was + * possible but work_mem was not sufficient for hash table). + */ + rel1_grouped_useful = rel1_grouped != NULL && !IS_DUMMY_REL(rel1_grouped); + rel2_grouped_useful = rel2_grouped != NULL && !IS_DUMMY_REL(rel2_grouped); + + /* Nothing to do if there's no grouped relation. */ + if (!rel1_grouped_useful && !rel2_grouped_useful) + return; + + /* + * At maximum one input rel can be grouped (here we don't care if any rel + * is eventually dummy, the existence of grouped rel indicates that + * aggregates can be pushed down to it). If both were grouped, then + * grouping of one side would change the occurrence of the other side's + * aggregate transient states on the input of the final aggregation. This + * can be handled by adjusting the transient states, but it's not worth + * the effort because it's hard to find a use case for this kind of join. + * + * XXX If the join of two grouped rels is implemented someday, note that + * both rels can have aggregates, so it'd be hard to join grouped rel to + * non-grouped here: 1) such a "mixed join" would require a special + * target, 2) both AGGSPLIT_FINAL_DESERIAL and AGGSPLIT_SIMPLE aggregates + * could appear in the target of the final aggregation node, originating + * from the grouped and the non-grouped input rel respectively. + */ + if (rel1_grouped && rel2_grouped) + return; + + if (rel1_grouped_useful) + make_join_rel_common(root, rel1_grouped, rel2, agg_info, NULL); + else if (rel2_grouped_useful) + make_join_rel_common(root, rel1, rel2_grouped, agg_info, NULL); +} + +/* + * make_join_rel + * Find or create a join RelOptInfo that represents the join of + * the two given rels, and add to it path information for paths + * created with the two rels as outer and inner rel. + * (The join rel may already contain paths generated from other + * pairs of rels that add up to the same set of base rels.) + * + * In addition to creating an ordinary join relation, try to create a + * grouped one. There are two strategies to achieve that: join a grouped + * relation to plain one, or join two plain relations and apply partial + * aggregation to the result. + * + * NB: will return NULL if attempted join is not valid. This can happen when + * working with outer joins, or with IN or EXISTS clauses that have been + * turned into joins. Besides that, NULL is also returned if caller is + * interested in a grouped relation but it could not be created. + * + * Only the plain relation is returned; if grouped relation exists, it can be + * retrieved using find_grouped_rel(). + */ +RelOptInfo * +make_join_rel(PlannerInfo *root, RelOptInfo *rel1, RelOptInfo *rel2) +{ + Relids joinrelids; + RelAggInfo *agg_info = NULL; + RelOptInfo *joinrel, + *joinrel_plain; + + /* 1) form the plain join. */ + joinrel = make_join_rel_common(root, rel1, rel2, NULL, NULL); + joinrel_plain = joinrel; + + if (joinrel_plain == NULL) + return joinrel_plain; + + /* + * We're done if there are no grouping expressions nor aggregates. + */ + if (root->grouped_var_list == NIL) + return joinrel_plain; + + joinrelids = bms_union(rel1->relids, rel2->relids); + joinrel = find_grouped_rel(root, joinrelids, &agg_info); + + if (joinrel != NULL) + { + /* + * If the same grouped joinrel was already formed, just with the base + * rels divided between rel1 and rel2 in a different way, the matching + * agg_info should already be there. + */ + Assert(agg_info != NULL); + } + else + { + /* + * agg_info must be created from scratch. + */ + agg_info = create_rel_agg_info(root, joinrel_plain); + + /* Cannot we build grouped join? */ + if (agg_info == NULL) + return joinrel_plain; + + /* + * The number of aggregate input rows is simply the number of rows of + * the non-grouped relation, which should have been estimated by now. + */ + agg_info->input_rows = joinrel_plain->rows; + } + + /* + * 2) join two plain rels and aggregate the join paths. Aggregate + * push-down only makes sense if the join is not the top-level one. + */ + if (bms_nonempty_difference(root->all_baserels, joinrelids)) + make_join_rel_common(root, rel1, rel2, agg_info, joinrel_plain); + + /* + * 3) combine plain and grouped relations. + */ + make_join_rel_combined(root, rel1, rel2, agg_info); + + return joinrel_plain; +} + /* * populate_joinrel_with_paths * Add paths to the given joinrel for given pair of joining relations. The diff --git a/src/backend/optimizer/plan/initsplan.c b/src/backend/optimizer/plan/initsplan.c index 023efbaf09..c2e5ccaaeb 100644 --- a/src/backend/optimizer/plan/initsplan.c +++ b/src/backend/optimizer/plan/initsplan.c @@ -14,6 +14,7 @@ */ #include "postgres.h" +#include "access/nbtree.h" #include "catalog/pg_class.h" #include "catalog/pg_type.h" #include "nodes/makefuncs.h" @@ -48,6 +49,8 @@ typedef struct PostponedQual } PostponedQual; +static void create_aggregate_grouped_var_infos(PlannerInfo *root); +static void create_grouping_expr_grouped_var_infos(PlannerInfo *root); static void extract_lateral_references(PlannerInfo *root, RelOptInfo *brel, Index rtindex); static List *deconstruct_recurse(PlannerInfo *root, Node *jtnode, @@ -273,6 +276,292 @@ add_vars_to_targetlist(PlannerInfo *root, List *vars, } } +/* + * Add GroupedVarInfo to grouped_var_list for each aggregate as well as for + * each possible grouping expression. + * + * root->group_pathkeys must be setup before this function is called. + */ +extern void +setup_aggregate_pushdown(PlannerInfo *root) +{ + ListCell *lc; + + /* + * Isn't user interested in the aggregate push-down feature? + */ + if (!enable_agg_pushdown) + return; + + /* The feature can only be applied to grouped aggregation. */ + if (!root->parse->groupClause) + return; + + /* + * Grouping sets require multiple different groupings but the base + * relation can only generate one. + */ + if (root->parse->groupingSets) + return; + + /* + * SRF is not allowed in the aggregate argument and we don't even want it + * in the GROUP BY clause, so forbid it in general. It needs to be + * analyzed if evaluation of a GROUP BY clause containing SRF below the + * query targetlist would be correct. Currently it does not seem to be an + * important use case. + */ + if (root->parse->hasTargetSRFs) + return; + + /* Create GroupedVarInfo per (distinct) aggregate. */ + create_aggregate_grouped_var_infos(root); + + /* Isn't there any aggregate to be pushed down? */ + if (root->grouped_var_list == NIL) + return; + + /* Create GroupedVarInfo per grouping expression. */ + create_grouping_expr_grouped_var_infos(root); + + /* Isn't there any useful grouping expression for aggregate push-down? */ + if (root->grouped_var_list == NIL) + return; + + /* + * Now that we know that grouping can be pushed down, search for the + * maximum sortgroupref. The base relations may need it if extra grouping + * expressions get added to them. + */ + Assert(root->max_sortgroupref == 0); + foreach(lc, root->processed_tlist) + { + TargetEntry *te = lfirst_node(TargetEntry, lc); + + if (te->ressortgroupref > root->max_sortgroupref) + root->max_sortgroupref = te->ressortgroupref; + } +} + +/* + * Create GroupedVarInfo for each distinct aggregate. + * + * If any aggregate is not suitable, set root->grouped_var_list to NIL and + * return. + */ +static void +create_aggregate_grouped_var_infos(PlannerInfo *root) +{ + List *tlist_exprs; + ListCell *lc; + + Assert(root->grouped_var_list == NIL); + + tlist_exprs = pull_var_clause((Node *) root->processed_tlist, + PVC_INCLUDE_AGGREGATES); + + /* + * Although GroupingFunc is related to root->parse->groupingSets, this + * field does not necessarily reflect its presence. + */ + foreach(lc, tlist_exprs) + { + Expr *expr = (Expr *) lfirst(lc); + + if (IsA(expr, GroupingFunc)) + return; + } + + /* + * Aggregates within the HAVING clause need to be processed in the same + * way as those in the main targetlist. + * + * Note that the contained aggregates will be pushed down, but the + * containing HAVING clause must be ignored until the aggregation is + * finalized. + */ + if (root->parse->havingQual != NULL) + { + List *having_exprs; + + having_exprs = pull_var_clause((Node *) root->parse->havingQual, + PVC_INCLUDE_AGGREGATES); + if (having_exprs != NIL) + tlist_exprs = list_concat(tlist_exprs, having_exprs); + } + + if (tlist_exprs == NIL) + return; + + foreach(lc, tlist_exprs) + { + Expr *expr = (Expr *) lfirst(lc); + Aggref *aggref; + ListCell *lc2; + GroupedVarInfo *gvi; + bool exists; + + /* + * tlist_exprs may also contain Vars, but we only need Aggrefs. + */ + if (IsA(expr, Var)) + continue; + + aggref = castNode(Aggref, expr); + + /* TODO Think if (some of) these can be handled. */ + if (aggref->aggvariadic || + aggref->aggdirectargs || aggref->aggorder || + aggref->aggdistinct) + { + /* + * Aggregation push-down is not useful if at least one aggregate + * cannot be evaluated below the top-level join. + * + * XXX Is it worth freeing the GroupedVarInfos and their subtrees? + */ + root->grouped_var_list = NIL; + break; + } + + /* Does GroupedVarInfo for this aggregate already exist? */ + exists = false; + foreach(lc2, root->grouped_var_list) + { + gvi = lfirst_node(GroupedVarInfo, lc2); + + if (equal(expr, gvi->gvexpr)) + { + exists = true; + break; + } + } + + /* Construct a new GroupedVarInfo if does not exist yet. */ + if (!exists) + { + Relids relids; + + gvi = makeNode(GroupedVarInfo); + gvi->gvexpr = (Expr *) copyObject(aggref); + + /* Find out where the aggregate should be evaluated. */ + relids = pull_varnos(root, (Node *) aggref); + if (!bms_is_empty(relids)) + gvi->gv_eval_at = relids; + else + gvi->gv_eval_at = NULL; + + root->grouped_var_list = lappend(root->grouped_var_list, gvi); + } + } + + list_free(tlist_exprs); +} + +/* + * Create GroupedVarInfo for each expression usable as grouping key. + * + * In addition to the expressions of the query targetlist, group_pathkeys is + * also considered the source of grouping expressions. That increases the + * chance to get the relation output grouped. + */ +static void +create_grouping_expr_grouped_var_infos(PlannerInfo *root) +{ + ListCell *l1, + *l2; + List *exprs = NIL; + List *sortgrouprefs = NIL; + + /* + * Make sure GroupedVarInfo exists for each expression usable as grouping + * key. + */ + foreach(l1, root->parse->groupClause) + { + SortGroupClause *sgClause; + TargetEntry *te; + Index sortgroupref; + TypeCacheEntry *tce; + Oid equalimageproc; + + sgClause = lfirst_node(SortGroupClause, l1); + te = get_sortgroupclause_tle(sgClause, root->processed_tlist); + sortgroupref = te->ressortgroupref; + + Assert(sortgroupref > 0); + + /* + * Non-zero sortgroupref does not necessarily imply grouping + * expression: data can also be sorted by aggregate. + */ + if (IsA(te->expr, Aggref)) + continue; + + /* + * The aggregate push-down feature currently supports only plain Vars + * as grouping expressions. + */ + if (!IsA(te->expr, Var)) + { + root->grouped_var_list = NIL; + return; + } + + /* + * Aggregate push-down is only possible if equality of grouping keys + * per the equality operator implies bitwise equality. Otherwise, if + * we put keys of different byte images into the same group, we lose + * some information that may be needed to evaluate join clauses above + * the pushed-down aggregate node, or the WHERE clause. + * + * For example, the NUMERIC data type is not supported because values + * that fall into the same group according to the equality operator + * (e.g. 0 and 0.0) can have different scale. + */ + tce = lookup_type_cache(exprType((Node *) te->expr), + TYPECACHE_BTREE_OPFAMILY); + if (!OidIsValid(tce->btree_opf) || + !OidIsValid(tce->btree_opintype)) + goto fail; + + equalimageproc = get_opfamily_proc(tce->btree_opf, + tce->btree_opintype, + tce->btree_opintype, + BTEQUALIMAGE_PROC); + if (!OidIsValid(equalimageproc) || + !DatumGetBool(OidFunctionCall1Coll(equalimageproc, + tce->typcollation, + ObjectIdGetDatum(tce->btree_opintype)))) + goto fail; + + exprs = lappend(exprs, te->expr); + sortgrouprefs = lappend_int(sortgrouprefs, sortgroupref); + } + + /* + * Construct GroupedVarInfo for each expression. + */ + forboth(l1, exprs, l2, sortgrouprefs) + { + Var *var = lfirst_node(Var, l1); + int sortgroupref = lfirst_int(l2); + GroupedVarInfo *gvi = makeNode(GroupedVarInfo); + + gvi->gvexpr = (Expr *) copyObject(var); + gvi->sortgroupref = sortgroupref; + + /* Find out where the expression should be evaluated. */ + gvi->gv_eval_at = bms_make_singleton(var->varno); + + root->grouped_var_list = lappend(root->grouped_var_list, gvi); + } + return; + +fail: + root->grouped_var_list = NIL; +} /***************************************************************************** * diff --git a/src/backend/optimizer/plan/planmain.c b/src/backend/optimizer/plan/planmain.c index c92ddd27ed..db2e97e352 100644 --- a/src/backend/optimizer/plan/planmain.c +++ b/src/backend/optimizer/plan/planmain.c @@ -65,8 +65,8 @@ query_planner(PlannerInfo *root, * NOTE: append_rel_list was set up by subquery_planner, so do not touch * here. */ - root->join_rel_list = NIL; - root->join_rel_hash = NULL; + root->join_rel_list = makeNode(RelInfoList); + root->agg_info_list = makeNode(RelInfoList); root->join_rel_level = NULL; root->join_cur_level = 0; root->canon_pathkeys = NIL; @@ -75,6 +75,7 @@ query_planner(PlannerInfo *root, root->full_join_clauses = NIL; root->join_info_list = NIL; root->placeholder_list = NIL; + root->grouped_var_list = NIL; root->fkey_list = NIL; root->initial_rels = NIL; @@ -253,6 +254,16 @@ query_planner(PlannerInfo *root, */ extract_restriction_or_clauses(root); + /* + * If the query result can be grouped, check if any grouping can be + * performed below the top-level join. If so, setup + * root->grouped_var_list. + * + * The base relations should be fully initialized now, so that we have + * enough info to decide whether grouping is possible. + */ + setup_aggregate_pushdown(root); + /* * Now expand appendrels by adding "otherrels" for their children. We * delay this to the end so that we have as much information as possible diff --git a/src/backend/optimizer/plan/planner.c b/src/backend/optimizer/plan/planner.c index 06ad856eac..c1423f229d 100644 --- a/src/backend/optimizer/plan/planner.c +++ b/src/backend/optimizer/plan/planner.c @@ -628,6 +628,7 @@ subquery_planner(PlannerGlobal *glob, Query *parse, memset(root->upper_rels, 0, sizeof(root->upper_rels)); memset(root->upper_targets, 0, sizeof(root->upper_targets)); root->processed_tlist = NIL; + root->max_sortgroupref = 0; root->update_colnos = NIL; root->grouping_map = NULL; root->minmax_aggs = NIL; @@ -3436,7 +3437,8 @@ create_grouping_paths(PlannerInfo *root, else extra.patype = PARTITIONWISE_AGGREGATE_NONE; - create_ordinary_grouping_paths(root, input_rel, grouped_rel, + create_ordinary_grouping_paths(root, input_rel, + grouped_rel, &agg_costs, gd, &extra, &partially_grouped_rel); } @@ -3642,11 +3644,11 @@ create_ordinary_grouping_paths(PlannerInfo *root, RelOptInfo *input_rel, bool force_rel_creation; /* - * If we're doing partitionwise aggregation at this level, force - * creation of a partially_grouped_rel so we can add partitionwise - * paths to it. + * If we're doing partitionwise aggregation at this level or if + * aggregate push-down succeeded to create some paths, force creation + * of a partially_grouped_rel so we can add the related paths to it. */ - force_rel_creation = (patype == PARTITIONWISE_AGGREGATE_PARTIAL); + force_rel_creation = patype == PARTITIONWISE_AGGREGATE_PARTIAL; partially_grouped_rel = create_partial_grouping_paths(root, @@ -3679,10 +3681,14 @@ create_ordinary_grouping_paths(PlannerInfo *root, RelOptInfo *input_rel, /* Gather any partially grouped partial paths. */ if (partially_grouped_rel && partially_grouped_rel->partial_pathlist) - { gather_grouping_paths(root, partially_grouped_rel); + + /* + * The non-partial paths can come either from the Gather above or from + * aggregate push-down. + */ + if (partially_grouped_rel && partially_grouped_rel->pathlist) set_cheapest(partially_grouped_rel); - } /* * Estimate number of groups. @@ -6625,6 +6631,13 @@ create_partial_grouping_paths(PlannerInfo *root, bool can_hash = (extra->flags & GROUPING_CAN_USE_HASH) != 0; bool can_sort = (extra->flags & GROUPING_CAN_USE_SORT) != 0; + /* + * The output relation could have been already created due to aggregate + * push-down. + */ + partially_grouped_rel = find_grouped_rel(root, input_rel->relids, NULL); + Assert(enable_agg_pushdown || partially_grouped_rel == NULL); + /* * Consider whether we should generate partially aggregated non-partial * paths. We can only do this if we have a non-partial path, and only if @@ -6651,16 +6664,18 @@ create_partial_grouping_paths(PlannerInfo *root, */ if (cheapest_total_path == NULL && cheapest_partial_path == NULL && - !force_rel_creation) + !force_rel_creation && + partially_grouped_rel == NULL) return NULL; /* * Build a new upper relation to represent the result of partially * aggregating the rows from the input relation. */ - partially_grouped_rel = fetch_upper_rel(root, - UPPERREL_PARTIAL_GROUP_AGG, - grouped_rel->relids); + if (partially_grouped_rel == NULL) + partially_grouped_rel = fetch_upper_rel(root, + UPPERREL_PARTIAL_GROUP_AGG, + grouped_rel->relids); partially_grouped_rel->consider_parallel = grouped_rel->consider_parallel; partially_grouped_rel->reloptkind = grouped_rel->reloptkind; @@ -6674,10 +6689,14 @@ create_partial_grouping_paths(PlannerInfo *root, * emit the same tlist as regular aggregate paths, because (1) we must * include Vars and Aggrefs needed in HAVING, which might not appear in * the result tlist, and (2) the Aggrefs must be set in partial mode. + * + * If the target was already created for the sake of aggregate push-down, + * it should be compatible with what we'd create here. */ - partially_grouped_rel->reltarget = - make_partial_grouping_target(root, grouped_rel->reltarget, - extra->havingQual); + if (partially_grouped_rel->reltarget->exprs == NIL) + partially_grouped_rel->reltarget = + make_partial_grouping_target(root, grouped_rel->reltarget, + extra->havingQual); if (!extra->partial_costs_set) { diff --git a/src/backend/optimizer/plan/setrefs.c b/src/backend/optimizer/plan/setrefs.c index 9cef92cab2..8ac577ad34 100644 --- a/src/backend/optimizer/plan/setrefs.c +++ b/src/backend/optimizer/plan/setrefs.c @@ -2863,6 +2863,39 @@ fix_join_expr_mutator(Node *node, fix_join_expr_context *context) /* No referent found for Var */ elog(ERROR, "variable not found in subplan target lists"); } + if (IsA(node, Aggref)) + { + Aggref *aggref = castNode(Aggref, node); + + /* + * The upper plan targetlist can contain Aggref whose value has + * already been evaluated by the subplan. However this can only happen + * with specific value of aggsplit. + */ + if (aggref->aggsplit == AGGSPLIT_INITIAL_SERIAL) + { + /* See if the Aggref has bubbled up from a lower plan node */ + if (context->outer_itlist && context->outer_itlist->has_non_vars) + { + newvar = search_indexed_tlist_for_non_var((Expr *) node, + context->outer_itlist, + OUTER_VAR); + if (newvar) + return (Node *) newvar; + } + if (context->inner_itlist && context->inner_itlist->has_non_vars) + { + newvar = search_indexed_tlist_for_non_var((Expr *) node, + context->inner_itlist, + INNER_VAR); + if (newvar) + return (Node *) newvar; + } + } + + /* No referent found for Aggref */ + elog(ERROR, "Aggref not found in subplan target lists"); + } if (IsA(node, PlaceHolderVar)) { PlaceHolderVar *phv = (PlaceHolderVar *) node; diff --git a/src/backend/optimizer/prep/prepjointree.c b/src/backend/optimizer/prep/prepjointree.c index 0bd99acf83..37a3b9832f 100644 --- a/src/backend/optimizer/prep/prepjointree.c +++ b/src/backend/optimizer/prep/prepjointree.c @@ -1007,6 +1007,7 @@ pull_up_simple_subquery(PlannerInfo *root, Node *jtnode, RangeTblEntry *rte, memset(subroot->upper_rels, 0, sizeof(subroot->upper_rels)); memset(subroot->upper_targets, 0, sizeof(subroot->upper_targets)); subroot->processed_tlist = NIL; + root->max_sortgroupref = 0; subroot->update_colnos = NIL; subroot->grouping_map = NULL; subroot->minmax_aggs = NIL; diff --git a/src/backend/optimizer/util/pathnode.c b/src/backend/optimizer/util/pathnode.c index 483c4f4137..2b025a8f67 100644 --- a/src/backend/optimizer/util/pathnode.c +++ b/src/backend/optimizer/util/pathnode.c @@ -2651,8 +2651,7 @@ create_projection_path(PlannerInfo *root, pathnode->path.pathtype = T_Result; pathnode->path.parent = rel; pathnode->path.pathtarget = target; - /* For now, assume we are above any joins, so no parameterization */ - pathnode->path.param_info = NULL; + pathnode->path.param_info = subpath->param_info; pathnode->path.parallel_aware = false; pathnode->path.parallel_safe = rel->consider_parallel && subpath->parallel_safe && @@ -3144,6 +3143,146 @@ create_agg_path(PlannerInfo *root, return pathnode; } +/* + * Apply AGG_SORTED aggregation path to subpath if it's suitably sorted. + * + * NULL is returned if sorting of subpath output is not suitable. + */ +AggPath * +create_agg_sorted_path(PlannerInfo *root, RelOptInfo *rel, Path *subpath, + RelAggInfo *agg_info) +{ + Node *agg_exprs; + AggSplit aggsplit; + AggClauseCosts agg_costs; + PathTarget *target; + double dNumGroups; + ListCell *lc1; + List *key_subset = NIL; + AggPath *result = NULL; + + aggsplit = AGGSPLIT_INITIAL_SERIAL; + agg_exprs = (Node *) agg_info->agg_exprs; + target = agg_info->target; + + if (subpath->pathkeys == NIL) + return NULL; + + if (!grouping_is_sortable(root->parse->groupClause)) + return NULL; + + /* + * Find all query pathkeys that our relation does affect. + */ + foreach(lc1, root->group_pathkeys) + { + PathKey *gkey = castNode(PathKey, lfirst(lc1)); + ListCell *lc2; + + foreach(lc2, subpath->pathkeys) + { + PathKey *skey = castNode(PathKey, lfirst(lc2)); + + if (skey == gkey) + { + key_subset = lappend(key_subset, gkey); + break; + } + } + } + + if (key_subset == NIL) + return NULL; + + /* Check if AGG_SORTED is useful for the whole query. */ + if (!pathkeys_contained_in(key_subset, subpath->pathkeys)) + return NULL; + + MemSet(&agg_costs, 0, sizeof(AggClauseCosts)); + get_agg_clause_costs(root, aggsplit, &agg_costs); + + Assert(agg_info->group_exprs != NIL); + dNumGroups = estimate_num_groups(root, agg_info->group_exprs, + subpath->rows, NULL, NULL); + + /* + * qual is NIL because the HAVING clause cannot be evaluated until the + * final value of the aggregate is known. + */ + result = create_agg_path(root, rel, subpath, target, + AGG_SORTED, aggsplit, + agg_info->group_clauses, + NIL, + &agg_costs, + dNumGroups); + + /* The agg path should require no fewer parameters than the plain one. */ + result->path.param_info = subpath->param_info; + + return result; +} + +/* + * Apply AGG_HASHED aggregation to subpath. + */ +AggPath * +create_agg_hashed_path(PlannerInfo *root, RelOptInfo *rel, + Path *subpath, RelAggInfo *agg_info) +{ + bool can_hash; + Node *agg_exprs; + AggSplit aggsplit; + AggClauseCosts agg_costs; + PathTarget *target; + double dNumGroups; + double hashaggtablesize; + Query *parse = root->parse; + AggPath *result = NULL; + + /* Do not try to create hash table for each parameter value. */ + Assert(subpath->param_info == NULL); + + aggsplit = AGGSPLIT_INITIAL_SERIAL; + agg_exprs = (Node *) agg_info->agg_exprs; + target = agg_info->target; + + MemSet(&agg_costs, 0, sizeof(AggClauseCosts)); + get_agg_clause_costs(root, aggsplit, &agg_costs); + + can_hash = (parse->groupClause != NIL && + parse->groupingSets == NIL && + root->numOrderedAggs == 0 && + grouping_is_hashable(parse->groupClause)); + + if (can_hash) + { + Assert(agg_info->group_exprs != NIL); + dNumGroups = estimate_num_groups(root, agg_info->group_exprs, + subpath->rows, NULL, NULL); + + hashaggtablesize = estimate_hashagg_tablesize(root, subpath, &agg_costs, + dNumGroups); + + if (hashaggtablesize < work_mem * 1024L) + { + /* + * qual is NIL because the HAVING clause cannot be evaluated until + * the final value of the aggregate is known. + */ + result = create_agg_path(root, rel, subpath, + target, + AGG_HASHED, + aggsplit, + agg_info->group_clauses, + NIL, + &agg_costs, + dNumGroups); + } + } + + return result; +} + /* * create_groupingsets_path * Creates a pathnode that represents performing GROUPING SETS aggregation diff --git a/src/backend/optimizer/util/relnode.c b/src/backend/optimizer/util/relnode.c index 520409f4ba..9a665bf5db 100644 --- a/src/backend/optimizer/util/relnode.c +++ b/src/backend/optimizer/util/relnode.c @@ -18,25 +18,35 @@ #include "miscadmin.h" #include "nodes/nodeFuncs.h" +#include "catalog/pg_class_d.h" +#include "catalog/pg_constraint.h" #include "optimizer/appendinfo.h" #include "optimizer/clauses.h" #include "optimizer/cost.h" +#include "optimizer/optimizer.h" #include "optimizer/inherit.h" #include "optimizer/pathnode.h" #include "optimizer/paths.h" #include "optimizer/placeholder.h" #include "optimizer/plancat.h" +#include "optimizer/planner.h" #include "optimizer/restrictinfo.h" #include "optimizer/tlist.h" +#include "parser/parse_oper.h" #include "utils/hsearch.h" +#include "utils/selfuncs.h" #include "utils/lsyscache.h" -typedef struct JoinHashEntry +/* + * An entry of a hash table that we use to make lookup for RelOptInfo + * structures more efficient. + */ +typedef struct RelInfoEntry { - Relids join_relids; /* hash key --- MUST BE FIRST */ - RelOptInfo *join_rel; -} JoinHashEntry; + Relids relids; /* hash key --- MUST BE FIRST */ + void *data; +} RelInfoEntry; static void build_joinrel_tlist(PlannerInfo *root, RelOptInfo *joinrel, RelOptInfo *input_rel); @@ -72,6 +82,11 @@ static void build_child_join_reltarget(PlannerInfo *root, RelOptInfo *childrel, int nappinfos, AppendRelInfo **appinfos); +static bool init_grouping_targets(PlannerInfo *root, RelOptInfo *rel, + PathTarget *target, PathTarget *agg_input, + List *gvis, List **group_exprs_extra_p); +static bool is_var_in_aggref_only(PlannerInfo *root, Var *var); +static bool is_var_needed_by_join(PlannerInfo *root, Var *var, RelOptInfo *rel); /* @@ -367,6 +382,110 @@ build_simple_rel(PlannerInfo *root, int relid, RelOptInfo *parent) return rel; } +/* + * build_simple_grouped_rel + * Construct a new RelOptInfo for a grouped base relation out of an + * existing non-grouped relation. On success, pointer to the corresponding + * RelAggInfo is stored in *agg_info_p in addition to returning the grouped + * relation. + */ +RelOptInfo * +build_simple_grouped_rel(PlannerInfo *root, int relid, + RelAggInfo **agg_info_p) +{ + RangeTblEntry *rte; + RelOptInfo *rel_plain, + *rel_grouped; + RelAggInfo *agg_info; + + /* Isn't there any grouping expression to be pushed down? */ + if (root->grouped_var_list == NIL) + return NULL; + + rel_plain = root->simple_rel_array[relid]; + + /* Caller should only pass rti that represents base relation. */ + Assert(rel_plain != NULL); + + /* + * Not all RTE kinds are supported when grouping is considered. + * + * TODO Consider relaxing some of these restrictions. + */ + rte = root->simple_rte_array[rel_plain->relid]; + if (rte->rtekind != RTE_RELATION || + rte->relkind == RELKIND_FOREIGN_TABLE || + rte->tablesample != NULL) + return NULL; + + /* + * Grouped append relation is not supported yet. + */ + if (rte->inh) + return NULL; + + /* + * Currently we do not support child relations ("other rels"). + */ + if (rel_plain->reloptkind != RELOPT_BASEREL) + return NULL; + + /* + * Prepare the information we need for aggregation of the rel contents. + */ + agg_info = create_rel_agg_info(root, rel_plain); + if (agg_info == NULL) + return NULL; + + /* + * TODO Consider if 1) a flat copy is o.k., 2) it's safer in terms of + * adding new fields to RelOptInfo) to copy everything and then reset some + * fields, or to zero the structure and copy individual fields. + */ + rel_grouped = makeNode(RelOptInfo); + memcpy(rel_grouped, rel_plain, sizeof(RelOptInfo)); + + /* + * Note on consider_startup: while the AGG_HASHED strategy needs the whole + * relation, AGG_SORTED does not. Therefore we do not force + * consider_startup to false. + */ + + /* + * Set the appropriate target for grouped paths. + * + * reltarget should match the target of partially aggregated paths. + */ + rel_grouped->reltarget = agg_info->target; + + /* + * Grouped paths must not be mixed with the plain ones. + */ + rel_grouped->pathlist = NIL; + rel_grouped->partial_pathlist = NIL; + rel_grouped->cheapest_startup_path = NULL; + rel_grouped->cheapest_total_path = NULL; + rel_grouped->cheapest_unique_path = NULL; + rel_grouped->cheapest_parameterized_paths = NIL; + + /* + * The number of aggregation input rows is simply the number of rows of + * the non-grouped relation, which should have been estimated by now. + */ + agg_info->input_rows = rel_plain->rows; + + /* + * The number of output rows is supposedly different (lower) due to + * grouping. + */ + rel_grouped->rows = estimate_num_groups(root, agg_info->group_exprs, + agg_info->input_rows, NULL, + NULL); + + *agg_info_p = agg_info; + return rel_grouped; +} + /* * find_base_rel * Find a base or other relation entry, which must already exist. @@ -391,11 +510,11 @@ find_base_rel(PlannerInfo *root, int relid) } /* - * build_join_rel_hash - * Construct the auxiliary hash table for join relations. + * build_rel_hash + * Construct the auxiliary hash table for relation specific data. */ static void -build_join_rel_hash(PlannerInfo *root) +build_rel_hash(RelInfoList *list) { HTAB *hashtab; HASHCTL hash_ctl; @@ -403,47 +522,53 @@ build_join_rel_hash(PlannerInfo *root) /* Create the hash table */ hash_ctl.keysize = sizeof(Relids); - hash_ctl.entrysize = sizeof(JoinHashEntry); + hash_ctl.entrysize = sizeof(RelInfoEntry); hash_ctl.hash = bitmap_hash; hash_ctl.match = bitmap_match; hash_ctl.hcxt = CurrentMemoryContext; - hashtab = hash_create("JoinRelHashTable", - 256L, - &hash_ctl, - HASH_ELEM | HASH_FUNCTION | HASH_COMPARE | HASH_CONTEXT); + hashtab = hash_create("RelHashTable", + 256L, + &hash_ctl, + HASH_ELEM | HASH_FUNCTION | HASH_COMPARE | HASH_CONTEXT); /* Insert all the already-existing joinrels */ - foreach(l, root->join_rel_list) + foreach(l, list->items) { - RelOptInfo *rel = (RelOptInfo *) lfirst(l); - JoinHashEntry *hentry; + void* item = lfirst(l); + RelInfoEntry* hentry; bool found; + Relids relids; + + Assert(IsA(item, RelOptInfo)); + relids = ((RelOptInfo*)item)->relids; - hentry = (JoinHashEntry *) hash_search(hashtab, - &(rel->relids), - HASH_ENTER, - &found); + hentry = (RelInfoEntry*)hash_search(hashtab, + &relids, + HASH_ENTER, + &found); Assert(!found); - hentry->join_rel = rel; + hentry->data = item; } - root->join_rel_hash = hashtab; + list->hash = hashtab; } /* - * find_join_rel - * Returns relation entry corresponding to 'relids' (a set of RT indexes), - * or NULL if none exists. This is for join relations. + * find_rel_info + * Find a base or join relation entry. */ -RelOptInfo * -find_join_rel(PlannerInfo *root, Relids relids) +static void* +find_rel_info(RelInfoList* list, Relids relids) { + if (list == NULL) + return NULL; + /* * Switch to using hash lookup when list grows "too long". The threshold * is arbitrary and is known only here. */ - if (!root->join_rel_hash && list_length(root->join_rel_list) > 32) - build_join_rel_hash(root); + if (!list->hash && list_length(list->items) > 32) + build_rel_hash(list); /* * Use either hashtable lookup or linear search, as appropriate. @@ -453,34 +578,155 @@ find_join_rel(PlannerInfo *root, Relids relids) * so would force relids out of a register and thus probably slow down the * list-search case. */ - if (root->join_rel_hash) + if (list->hash) { Relids hashkey = relids; - JoinHashEntry *hentry; + RelInfoEntry *hentry; - hentry = (JoinHashEntry *) hash_search(root->join_rel_hash, - &hashkey, - HASH_FIND, - NULL); + hentry = (RelInfoEntry *) hash_search(list->hash, + &hashkey, + HASH_FIND, + NULL); if (hentry) - return hentry->join_rel; + return hentry->data; } else { ListCell *l; - foreach(l, root->join_rel_list) + foreach(l, list->items) { - RelOptInfo *rel = (RelOptInfo *) lfirst(l); + void *item = lfirst(l); + Relids item_relids = NULL; + + Assert(IsA(item, RelOptInfo) || IsA(item, RelAggInfo)); + + if (IsA(item, RelOptInfo)) + item_relids = ((RelOptInfo *) item)->relids; + else if (IsA(item, RelAggInfo)) + item_relids = ((RelAggInfo *) item)->relids; - if (bms_equal(rel->relids, relids)) - return rel; + if (bms_equal(item_relids, relids)) + return item; } } return NULL; } +/* + * find_join_rel + * Returns relation entry corresponding to 'relids' (a set of RT indexes), + * or NULL if none exists. This is for join relations. + */ +RelOptInfo * +find_join_rel(PlannerInfo *root, Relids relids) +{ + return (RelOptInfo *) find_rel_info(root->join_rel_list, relids); +} + +/* + * add_rel_info + * Add relation specific info to a list, and also add it to the auxiliary + * hashtable if there is one. + */ +static void +add_rel_info(RelInfoList *list, void *data) +{ + Assert(IsA(data, RelOptInfo) || IsA(data, RelAggInfo)); + + /* GEQO requires us to append the new joinrel to the end of the list! */ + list->items = lappend(list->items, data); + + /* store it into the auxiliary hashtable if there is one. */ + if (list->hash) + { + Relids relids; + RelInfoEntry *hentry; + bool found; + + if (IsA(data, RelOptInfo)) + relids = ((RelOptInfo *) data)->relids; + else if (IsA(data, RelAggInfo)) + relids = ((RelAggInfo *) data)->relids; + + hentry = (RelInfoEntry *) hash_search(list->hash, + &relids, + HASH_ENTER, + &found); + Assert(!found); + hentry->data = data; + } +} + +/* + * add_join_rel + * Add given join relation to the list of join relations in the given + * PlannerInfo. + */ +static void +add_join_rel(PlannerInfo *root, RelOptInfo *joinrel) +{ + add_rel_info(root->join_rel_list, joinrel); +} + +/* + * add_grouped_rel + * Add grouped base or join relation to the list of grouped relations in + * the given PlannerInfo. Also add the corresponding RelAggInfo to + * agg_info_list. + */ +void +add_grouped_rel(PlannerInfo *root, RelOptInfo *rel, RelAggInfo *agg_info) +{ + add_rel_info(&root->upper_rels[UPPERREL_PARTIAL_GROUP_AGG], rel); + add_rel_info(root->agg_info_list, agg_info); +} + +/* + * find_grouped_rel + * Returns grouped relation entry (base or join relation) corresponding to + * 'relids' or NULL if none exists. + * + * If agg_info_p is a valid pointer, then pointer to RelAggInfo that + * corresponds to the relation returned is assigned to *agg_info_p. + * + * The call fetch_upper_rel(root, UPPERREL_PARTIAL_GROUP_AGG, ...) should + * return the same relation if it exists, however the behavior is different if + * the relation is not there. find_grouped_rel() should be used in + * query_planner() and subroutines. + */ +RelOptInfo * +find_grouped_rel(PlannerInfo *root, Relids relids, RelAggInfo **agg_info_p) +{ + RelOptInfo *rel; + + rel = (RelOptInfo *) find_rel_info(&root->upper_rels[UPPERREL_PARTIAL_GROUP_AGG], + relids); + if (rel == NULL) + { + if (agg_info_p) + *agg_info_p = NULL; + + return NULL; + } + + /* Is caller interested in RelAggInfo? */ + if (agg_info_p) + { + RelAggInfo *agg_info; + + agg_info = (RelAggInfo *) find_rel_info(root->agg_info_list, relids); + + /* The relation exists, so the agg_info should be there too. */ + Assert(agg_info != NULL); + + *agg_info_p = agg_info; + } + + return rel; +} + /* * set_foreign_rel_properties * Set up foreign-join fields if outer and inner relation are foreign @@ -531,32 +777,6 @@ set_foreign_rel_properties(RelOptInfo *joinrel, RelOptInfo *outer_rel, } } -/* - * add_join_rel - * Add given join relation to the list of join relations in the given - * PlannerInfo. Also add it to the auxiliary hashtable if there is one. - */ -static void -add_join_rel(PlannerInfo *root, RelOptInfo *joinrel) -{ - /* GEQO requires us to append the new joinrel to the end of the list! */ - root->join_rel_list = lappend(root->join_rel_list, joinrel); - - /* store it into the auxiliary hashtable if there is one. */ - if (root->join_rel_hash) - { - JoinHashEntry *hentry; - bool found; - - hentry = (JoinHashEntry *) hash_search(root->join_rel_hash, - &(joinrel->relids), - HASH_ENTER, - &found); - Assert(!found); - hentry->join_rel = joinrel; - } -} - /* * build_join_rel * Returns relation entry corresponding to the union of two given rels, @@ -569,6 +789,7 @@ add_join_rel(PlannerInfo *root, RelOptInfo *joinrel) * 'restrictlist_ptr': result variable. If not NULL, *restrictlist_ptr * receives the list of RestrictInfo nodes that apply to this * particular pair of joinable relations. + * 'agg_info' indicates that grouped join relation should be created. * * restrictlist_ptr makes the routine's API a little grotty, but it saves * duplicated calculation of the restrictlist... @@ -579,10 +800,12 @@ build_join_rel(PlannerInfo *root, RelOptInfo *outer_rel, RelOptInfo *inner_rel, SpecialJoinInfo *sjinfo, - List **restrictlist_ptr) + List **restrictlist_ptr, + RelAggInfo *agg_info) { RelOptInfo *joinrel; List *restrictlist; + bool grouped = agg_info != NULL; /* This function should be used only for join between parents. */ Assert(!IS_OTHER_REL(outer_rel) && !IS_OTHER_REL(inner_rel)); @@ -590,7 +813,8 @@ build_join_rel(PlannerInfo *root, /* * See if we already have a joinrel for this set of base rels. */ - joinrel = find_join_rel(root, joinrelids); + joinrel = !grouped ? find_join_rel(root, joinrelids) : + find_grouped_rel(root, joinrelids, NULL); if (joinrel) { @@ -686,9 +910,21 @@ build_join_rel(PlannerInfo *root, * and inner rels we first try to build it from. But the contents should * be the same regardless. */ - build_joinrel_tlist(root, joinrel, outer_rel); - build_joinrel_tlist(root, joinrel, inner_rel); - add_placeholders_to_joinrel(root, joinrel, outer_rel, inner_rel); + if (!grouped) + { + joinrel->reltarget = create_empty_pathtarget(); + build_joinrel_tlist(root, joinrel, outer_rel); + build_joinrel_tlist(root, joinrel, inner_rel); + add_placeholders_to_joinrel(root, joinrel, outer_rel, inner_rel); + } + else + { + /* + * The target for grouped join should already have its cost and width + * computed, see create_rel_agg_info(). + */ + joinrel->reltarget = agg_info->target; + } /* * add_placeholders_to_joinrel also took care of adding the ph_lateral @@ -720,14 +956,31 @@ build_join_rel(PlannerInfo *root, joinrel->has_eclass_joins = has_relevant_eclass_joinclause(root, joinrel); /* Store the partition information. */ - build_joinrel_partition_info(joinrel, outer_rel, inner_rel, restrictlist, - sjinfo->jointype); + if (!grouped) + build_joinrel_partition_info(joinrel, outer_rel, inner_rel, + restrictlist, sjinfo->jointype); /* * Set estimates of the joinrel's size. */ - set_joinrel_size_estimates(root, joinrel, outer_rel, inner_rel, - sjinfo, restrictlist); + if (!grouped) + set_joinrel_size_estimates(root, joinrel, outer_rel, inner_rel, + sjinfo, restrictlist); + else + { + /* + * Grouping essentially changes the number of rows. + * + * XXX We do not distinguish whether two plain rels are joined and the + * result is aggregated, or the aggregation has been already applied + * to one of the input rels. Is this worth extra effort, e.g. + * maintaining a separate RelOptInfo for each case (one difficulty + * that would introduce is construction of AppendPath)? + */ + joinrel->rows = estimate_num_groups(root, agg_info->group_exprs, + agg_info->input_rows, NULL, + NULL); + } /* * Set the consider_parallel flag if this joinrel could potentially be @@ -744,25 +997,33 @@ build_join_rel(PlannerInfo *root, * here. */ if (inner_rel->consider_parallel && outer_rel->consider_parallel && - is_parallel_safe(root, (Node *) restrictlist) && - is_parallel_safe(root, (Node *) joinrel->reltarget->exprs)) + is_parallel_safe(root, (Node*)restrictlist) && + is_parallel_safe(root, (Node*)joinrel->reltarget->exprs)) joinrel->consider_parallel = true; /* Add the joinrel to the PlannerInfo. */ - add_join_rel(root, joinrel); + if (!grouped) + add_join_rel(root, joinrel); + else + add_grouped_rel(root, joinrel, agg_info); /* - * Also, if dynamic-programming join search is active, add the new joinrel - * to the appropriate sublist. Note: you might think the Assert on number - * of members should be for equality, but some of the level 1 rels might - * have been joinrels already, so we can only assert <=. + * Also, if dynamic-programming join search is active, add the new + * joinrelset to the appropriate sublist. Note: you might think the + * Assert on number of members should be for equality, but some of the + * level 1 rels might have been joinrels already, so we can only assert + * <=. + * + * Do noting for grouped relation as it's stored aside from + * join_rel_level. */ - if (root->join_rel_level) + if (root->join_rel_level && !grouped) { Assert(root->join_cur_level > 0); - Assert(root->join_cur_level <= bms_num_members(joinrel->relids)); + Assert(root->join_cur_level <= bms_num_members(joinrelids)); root->join_rel_level[root->join_cur_level] = - lappend(root->join_rel_level[root->join_cur_level], joinrel); + lappend(root->join_rel_level[root->join_cur_level], + joinrel); } return joinrel; @@ -1209,22 +1470,14 @@ subbuild_joinrel_joinlist(RelOptInfo *joinrel, RelOptInfo * fetch_upper_rel(PlannerInfo *root, UpperRelationKind kind, Relids relids) { + RelInfoList *list = &root->upper_rels[kind]; RelOptInfo *upperrel; - ListCell *lc; - - /* - * For the moment, our indexing data structure is just a List for each - * relation kind. If we ever get so many of one kind that this stops - * working well, we can improve it. No code outside this function should - * assume anything about how to find a particular upperrel. - */ /* If we already made this upperrel for the query, return it */ - foreach(lc, root->upper_rels[kind]) + if (list) { - upperrel = (RelOptInfo *) lfirst(lc); - - if (bms_equal(upperrel->relids, relids)) + upperrel = find_rel_info(list, relids); + if (upperrel) return upperrel; } @@ -1243,7 +1496,7 @@ fetch_upper_rel(PlannerInfo *root, UpperRelationKind kind, Relids relids) upperrel->cheapest_unique_path = NULL; upperrel->cheapest_parameterized_paths = NIL; - root->upper_rels[kind] = lappend(root->upper_rels[kind], upperrel); + add_rel_info(&root->upper_rels[kind], upperrel); return upperrel; } @@ -2045,3 +2298,621 @@ build_child_join_reltarget(PlannerInfo *root, childrel->reltarget->cost.per_tuple = parentrel->reltarget->cost.per_tuple; childrel->reltarget->width = parentrel->reltarget->width; } + +/* + * Check if the relation can produce grouped paths and return the information + * it'll need for it. The passed relation is the non-grouped one which has the + * reltarget already constructed. + */ +RelAggInfo * +create_rel_agg_info(PlannerInfo *root, RelOptInfo *rel) +{ + List *gvis; + List *aggregates = NIL; + bool found_other_rel_agg; + ListCell *lc; + RelAggInfo *result; + PathTarget *agg_input; + PathTarget *target = NULL; + List *grp_exprs_extra = NIL; + List *group_clauses_final; + int i; + + /* + * The function shouldn't have been called if there's no opportunity for + * aggregation push-down. + */ + Assert(root->grouped_var_list != NIL); + + /* + * The current implementation of aggregation push-down cannot handle + * PlaceHolderVar (PHV). + * + * If we knew that the PHV should be evaluated in this target (and of + * course, if its expression matched some Aggref argument), we'd just let + * init_grouping_targets add that Aggref. On the other hand, if we knew + * that the PHV is evaluated below the current rel, we could ignore it + * because the referencing Aggref would take care of propagation of the + * value to upper joins. + * + * The problem is that the same PHV can be evaluated in the target of the + * current rel or in that of lower rel --- depending on the input paths. + * For example, consider rel->relids = {A, B, C} and if ph_eval_at = {B, + * C}. Path "A JOIN (B JOIN C)" implies that the PHV is evaluated by the + * "(B JOIN C)", while path "(A JOIN B) JOIN C" evaluates the PHV itself. + */ + foreach(lc, rel->reltarget->exprs) + { + Expr *expr = lfirst(lc); + + if (IsA(expr, PlaceHolderVar)) + return NULL; + } + + if (IS_SIMPLE_REL(rel)) + { + RangeTblEntry *rte = root->simple_rte_array[rel->relid];; + + /* + * rtekind != RTE_RELATION case is not supported yet. + */ + if (rte->rtekind != RTE_RELATION) + return NULL; + } + + /* Caller should only pass base relations or joins. */ + Assert(rel->reloptkind == RELOPT_BASEREL || + rel->reloptkind == RELOPT_JOINREL); + + /* + * If any outer join can set the attribute value to NULL, the Agg plan + * would receive different input at the base rel level. + * + * XXX For RELOPT_JOINREL, do not return if all the joins that can set any + * entry of the grouped target (do we need to postpone this check until + * the grouped target is available, and init_grouping_targets take care?) + * of this rel to NULL are provably below rel. (It's ok if rel is one of + * these joins.) + */ + if (bms_overlap(rel->relids, root->nullable_baserels)) + return NULL; + + /* + * Use equivalence classes to generate additional grouping expressions for + * the current rel. Without these we might not be able to apply + * aggregation to the relation result set. + * + * It's important that create_grouping_expr_grouped_var_infos has + * processed the explicit grouping columns by now. If the grouping clause + * contains multiple expressions belonging to the same EC, the original + * (i.e. not derived) one should be preferred when we build grouping + * target for a relation. Otherwise we have a problem when trying to match + * target entries to grouping clauses during plan creation, see + * get_grouping_expression(). + */ + gvis = list_copy(root->grouped_var_list); + foreach(lc, root->grouped_var_list) + { + GroupedVarInfo *gvi = lfirst_node(GroupedVarInfo, lc); + int relid = -1; + + /* Only interested in grouping expressions. */ + if (IsA(gvi->gvexpr, Aggref)) + continue; + + while ((relid = bms_next_member(rel->relids, relid)) >= 0) + { + GroupedVarInfo *gvi_trans; + + gvi_trans = translate_expression_to_rel(root, gvi, relid); + if (gvi_trans != NULL) + gvis = lappend(gvis, gvi_trans); + } + } + + /* + * Check if some aggregates or grouping expressions can be evaluated in + * this relation's target, and collect all vars referenced by these + * aggregates / grouping expressions; + */ + found_other_rel_agg = false; + foreach(lc, gvis) + { + GroupedVarInfo *gvi = lfirst_node(GroupedVarInfo, lc); + + /* + * The subset includes gv_eval_at uninitialized, which includes + * Aggref.aggstar. + */ + if (bms_is_subset(gvi->gv_eval_at, rel->relids)) + { + /* + * init_grouping_targets will handle plain Var grouping + * expressions because it needs to look them up in + * grouped_var_list anyway. + */ + if (IsA(gvi->gvexpr, Var)) + continue; + + /* + * Currently, GroupedVarInfo only handles Vars and Aggrefs. + */ + Assert(IsA(gvi->gvexpr, Aggref)); + + gvi->agg_partial = (Aggref *) copyObject(gvi->gvexpr); + mark_partial_aggref(gvi->agg_partial, AGGSPLIT_INITIAL_SERIAL); + + /* + * Accept the aggregate. + */ + aggregates = lappend(aggregates, gvi); + } + else if (IsA(gvi->gvexpr, Aggref)) + { + /* + * Remember that there is at least one aggregate expression that + * needs something else than this rel. + */ + found_other_rel_agg = true; + + /* + * This condition effectively terminates creation of the + * RelAggInfo, so there's no reason to check the next + * GroupedVarInfo. + */ + break; + } + } + + /* + * Grouping makes little sense w/o aggregate function and w/o grouping + * expressions. + */ + if (aggregates == NIL) + { + list_free(gvis); + return NULL; + } + + /* + * Give up if some other aggregate(s) need relations other than the + * current one. + * + * If the aggregate needs the current rel plus anything else, then the + * problem is that grouping of the current relation could make some input + * variables unavailable for the "higher aggregate", and it'd also + * decrease the number of input rows the "higher aggregate" receives. + * + * If the aggregate does not even need the current rel, then neither the + * current rel nor anything else should be grouped because we do not + * support join of two grouped relations. + */ + if (found_other_rel_agg) + { + list_free(gvis); + return NULL; + } + + /* + * Create target for grouped paths as well as one for the input paths of + * the aggregation paths. + */ + target = create_empty_pathtarget(); + agg_input = create_empty_pathtarget(); + + /* + * Cannot suitable targets for the aggregation push-down be derived? + */ + if (!init_grouping_targets(root, rel, target, agg_input, gvis, + &grp_exprs_extra)) + { + list_free(gvis); + return NULL; + } + + list_free(gvis); + + /* + * Aggregation push-down makes no sense w/o grouping expressions. + */ + if ((list_length(target->exprs) + list_length(grp_exprs_extra)) == 0) + return NULL; + + group_clauses_final = root->parse->groupClause; + + /* + * If the aggregation target should have extra grouping expressions (in + * order to emit input vars for join conditions), add them now. This step + * includes assignment of tleSortGroupRef's which we can generate now. + */ + if (list_length(grp_exprs_extra) > 0) + { + Index sortgroupref; + + /* + * We'll have to add some clauses, but query group clause must be + * preserved. + */ + group_clauses_final = list_copy(group_clauses_final); + + /* + * Always start at root->max_sortgroupref. The extra grouping + * expressions aren't used during the final aggregation, so the + * sortgroupref values don't need to be unique across the query. Thus + * we don't have to increase root->max_sortgroupref, which makes + * recognition of the extra grouping expressions pretty easy. + */ + sortgroupref = root->max_sortgroupref; + + /* + * Generate the SortGroupClause's and add the expressions to the + * target. + */ + foreach(lc, grp_exprs_extra) + { + Var *var = lfirst_node(Var, lc); + SortGroupClause *cl = makeNode(SortGroupClause); + + /* + * Initialize the SortGroupClause. + * + * As the final aggregation will not use this grouping expression, + * we don't care whether sortop is < or >. The value of + * nulls_first should not matter for the same reason. + */ + cl->tleSortGroupRef = ++sortgroupref; + get_sort_group_operators(var->vartype, + false, true, false, + &cl->sortop, &cl->eqop, NULL, + &cl->hashable); + group_clauses_final = lappend(group_clauses_final, cl); + add_column_to_pathtarget(target, (Expr *) var, + cl->tleSortGroupRef); + + /* + * The aggregation input target must emit this var too. + */ + add_column_to_pathtarget(agg_input, (Expr *) var, + cl->tleSortGroupRef); + } + } + + /* + * Add aggregates to the grouping target. + */ + foreach(lc, aggregates) + { + GroupedVarInfo *gvi; + + gvi = lfirst_node(GroupedVarInfo, lc); + add_column_to_pathtarget(target, (Expr *) gvi->agg_partial, + gvi->sortgroupref); + } + + /* + * Build a list of grouping expressions and a list of the corresponding + * SortGroupClauses. + */ + i = 0; + result = makeNode(RelAggInfo); + foreach(lc, target->exprs) + { + Index sortgroupref = 0; + SortGroupClause *cl; + Expr *texpr; + + texpr = (Expr *) lfirst(lc); + + if (IsA(texpr, Aggref)) + { + /* + * Once we see Aggref, no grouping expressions should follow. + */ + break; + } + + /* + * Find the clause by sortgroupref. + */ + sortgroupref = target->sortgrouprefs[i++]; + + /* + * Besides being an aggregate, the target expression should have no + * other reason then being a column of a relation functionally + * dependent on the GROUP BY clause. So it's not actually a grouping + * column. + */ + if (sortgroupref == 0) + continue; + + /* + * group_clause_final contains the "local" clauses, so this search + * should succeed. + */ + cl = get_sortgroupref_clause(sortgroupref, group_clauses_final); + + result->group_clauses = list_append_unique(result->group_clauses, + cl); + + /* + * Add only unique clauses because of joins (both sides of a join can + * point at the same grouping clause). XXX Is it worth adding a bool + * argument indicating that we're dealing with join right now? + */ + result->group_exprs = list_append_unique(result->group_exprs, + texpr); + } + + /* + * Since neither target nor agg_input is supposed to be identical to the + * source reltarget, compute the width and cost again. + * + * target does not yet contain aggregates, but these will be accounted by + * AggPath. + */ + set_pathtarget_cost_width(root, target); + set_pathtarget_cost_width(root, agg_input); + + result->relids = bms_copy(rel->relids); + result->target = target; + result->agg_input = agg_input; + + /* Finally collect the aggregates. */ + while (lc != NULL) + { + Aggref *aggref = lfirst_node(Aggref, lc); + + /* + * Partial aggregation is what the grouped paths should do. + */ + result->agg_exprs = lappend(result->agg_exprs, aggref); + lc = lnext(target->exprs, lc); + } + + /* The "input_rows" field should be set by caller. */ + return result; +} + +/* + * Initialize target for grouped paths (target) as well as a target for paths + * that generate input for aggregation (agg_input). + * + * group_exprs_extra_p receives a list of Var nodes for which we need to + * construct SortGroupClause. Those vars will then be used as additional + * grouping expressions, for the sake of join clauses. + * + * gvis a list of GroupedVarInfo's possibly useful for rel. + * + * Return true iff the targets could be initialized. + */ +static bool +init_grouping_targets(PlannerInfo *root, RelOptInfo *rel, + PathTarget *target, PathTarget *agg_input, + List *gvis, List **group_exprs_extra_p) +{ + ListCell *lc; + List *possibly_dependent = NIL; + Var *tvar; + + foreach(lc, rel->reltarget->exprs) + { + Index sortgroupref; + + /* + * Given that PlaceHolderVar currently prevents us from doing + * aggregation push-down, the source target cannot contain anything + * more complex than a Var. + */ + tvar = lfirst_node(Var, lc); + + sortgroupref = get_expression_sortgroupref((Expr *) tvar, gvis); + if (sortgroupref > 0) + { + /* + * If the target expression can be used as the grouping key, we + * don't have to worry whether it can be emitted by the AggPath + * pushed down to relation / join. + */ + add_column_to_pathtarget(target, (Expr *) tvar, sortgroupref); + + /* + * As for agg_input, add the original expression but set + * sortgroupref in addition. + */ + add_column_to_pathtarget(agg_input, (Expr *) tvar, sortgroupref); + } + else + { + /* + * Another reason we might need this variable is that some + * aggregate pushed down to this relation references it. In such a + * case, add that var to agg_input, but not to "target". However, + * if the aggregate is not the only reason for the var to be in + * the target, some more checks need to be performed below. + */ + if (is_var_in_aggref_only(root, tvar)) + add_new_column_to_pathtarget(agg_input, (Expr *) tvar); + else if (is_var_needed_by_join(root, tvar, rel)) + { + /* + * The variable is needed for a join, however it's neither in + * the GROUP BY clause nor can it be derived from it using EC. + * (Otherwise it would have to be added to the targets above.) + * We need to construct special SortGroupClause for that + * variable. + * + * Note that its tleSortGroupRef needs to be unique within + * agg_input, so we need to postpone creation of the + * SortGroupClause's until we're done with the iteration of + * rel->reltarget->exprs. Also it makes sense for the caller + * to do some more check before it starts to create those + * SortGroupClause's. + */ + *group_exprs_extra_p = lappend(*group_exprs_extra_p, tvar); + } + else + { + /* + * The Var can be functionally dependent on another expression + * of the target, but we cannot check until the other + * expressions are in the target. + */ + possibly_dependent = lappend(possibly_dependent, tvar); + } + } + } + + /* + * Now we can check whether the expression is functionally dependent on + * another one. + */ + foreach(lc, possibly_dependent) + { + List *deps = NIL; + RangeTblEntry *rte; + + tvar = lfirst_node(Var, lc); + rte = root->simple_rte_array[tvar->varno]; + + /* + * Check if the Var can be in the grouping key even though it's not + * mentioned by the GROUP BY clause (and could not be derived using + * ECs). + */ + if (check_functional_grouping(rte->relid, tvar->varno, + tvar->varlevelsup, + target->exprs, &deps)) + { + /* + * The var shouldn't be actually used for grouping key evaluation + * (instead, the one this depends on will be), so sortgroupref + * should not be important. + */ + add_new_column_to_pathtarget(target, (Expr *) tvar); + add_new_column_to_pathtarget(agg_input, (Expr *) tvar); + } + else + { + /* + * As long as the query is semantically correct, arriving here + * means that the var is referenced by a generic grouping + * expression but not referenced by any join. + * + * If the aggregate push-down will support generic grouping + * expression sin the future, create_rel_agg_info() will have to + * add this variable to "agg_input" target and also add the whole + * generic expression to "target". + */ + return false; + } + } + + return true; +} + +/* + * Check whether given variable appears in Aggref(s) which we consider usable + * at relation / join level, and only in the Aggref(s). + */ +static bool +is_var_in_aggref_only(PlannerInfo *root, Var *var) +{ + ListCell *lc; + bool found = false; + + foreach(lc, root->grouped_var_list) + { + GroupedVarInfo *gvi = lfirst_node(GroupedVarInfo, lc); + ListCell *lc2; + List *vars; + + if (!IsA(gvi->gvexpr, Aggref)) + continue; + + if (!bms_is_member(var->varno, gvi->gv_eval_at)) + continue; + + /* + * XXX Consider some sort of caching. + */ + vars = pull_var_clause((Node *) gvi->gvexpr, PVC_RECURSE_AGGREGATES); + foreach(lc2, vars) + { + Var *v = lfirst_node(Var, lc2); + + if (equal(v, var)) + { + found = true; + break; + } + + } + list_free(vars); + + if (found) + break; + } + + /* No aggregate references the Var? */ + if (!found) + return false; + + /* Does the Var appear in the target outside aggregates? */ + found = false; + foreach(lc, root->processed_tlist) + { + TargetEntry *te = lfirst_node(TargetEntry, lc); + + if (IsA(te->expr, Aggref)) + continue; + + if (equal(te->expr, var)) + return false; + + } + + /* The Var is in aggregate(s) and only there. */ + return true; +} + +/* + * Check if given variable is needed by joins above the current rel? + * + * Consider pushing the aggregate avg(b.y) down to relation "b" for the + * following query: + * + * SELECT a.i, avg(b.y) + * FROM a JOIN b ON b.j = a.i + * GROUP BY a.i; + * + * If we aggregate the "b" relation alone, the column "b.j" needs to be used + * as the grouping key because otherwise it cannot find its way to the input + * of the join expression. + */ +static bool +is_var_needed_by_join(PlannerInfo *root, Var *var, RelOptInfo *rel) +{ + Relids relids_no_top; + int ndx; + RelOptInfo *baserel; + + /* + * The relids we're not interested in do include 0, which is the top-level + * targetlist. The only reason for relids to contain 0 should be that + * arg_var is referenced either by aggregate or by grouping expression, + * but right now we're interested in the *other* reasons. (As soon + * aggregation is pushed down, the aggregates in the query targetlist no + * longer need direct reference to arg_var anyway.) + */ + + relids_no_top = bms_copy(rel->relids); + bms_add_member(relids_no_top, 0); + + baserel = find_base_rel(root, var->varno); + ndx = var->varattno - baserel->min_attr; + if (bms_nonempty_difference(baserel->attr_needed[ndx], + relids_no_top)) + return true; + + return false; +} diff --git a/src/backend/optimizer/util/tlist.c b/src/backend/optimizer/util/tlist.c index fe9a9d7d89..97950eedfa 100644 --- a/src/backend/optimizer/util/tlist.c +++ b/src/backend/optimizer/util/tlist.c @@ -809,6 +809,37 @@ apply_pathtarget_labeling_to_tlist(List *tlist, PathTarget *target) } } +/* + * Return sortgroupref if expr can be used as the grouping expression in an + * AggPath at relation or join level, or 0 if it can't. + * + * gvis a list of a list of GroupedVarInfo's available for the query, + * including those derived using equivalence classes. + */ +Index +get_expression_sortgroupref(Expr *expr, List *gvis) +{ + ListCell *lc; + + foreach(lc, gvis) + { + GroupedVarInfo *gvi = lfirst_node(GroupedVarInfo, lc); + + if (IsA(gvi->gvexpr, Aggref)) + continue; + + if (equal(gvi->gvexpr, expr)) + { + Assert(gvi->sortgroupref > 0); + + return gvi->sortgroupref; + } + } + + /* The expression cannot be used as grouping key. */ + return 0; +} + /* * split_pathtarget_at_srfs * Split given PathTarget into multiple levels to position SRFs safely diff --git a/src/backend/utils/misc/guc.c b/src/backend/utils/misc/guc.c index 0328029d43..b6dadf7440 100644 --- a/src/backend/utils/misc/guc.c +++ b/src/backend/utils/misc/guc.c @@ -1172,6 +1172,16 @@ static struct config_bool ConfigureNamesBool[] = false, NULL, NULL, NULL }, + { + {"enable_agg_pushdown", PGC_USERSET, QUERY_TUNING_METHOD, + gettext_noop("Enables aggregate push-down."), + NULL, + GUC_EXPLAIN + }, + &enable_agg_pushdown, + false, + NULL, NULL, NULL + }, { {"enable_parallel_append", PGC_USERSET, QUERY_TUNING_METHOD, gettext_noop("Enables the planner's use of parallel append plans."), diff --git a/src/backend/utils/misc/postgresql.conf.sample b/src/backend/utils/misc/postgresql.conf.sample index b4bc06e5f5..d222c9207b 100644 --- a/src/backend/utils/misc/postgresql.conf.sample +++ b/src/backend/utils/misc/postgresql.conf.sample @@ -389,6 +389,7 @@ #enable_sort = on #enable_tidscan = on #enable_group_by_reordering = on +#enable_agg_pushdown = off # - Planner Cost Constants - diff --git a/src/include/nodes/pathnodes.h b/src/include/nodes/pathnodes.h index 44ffc73f15..fd4707e1ec 100644 --- a/src/include/nodes/pathnodes.h +++ b/src/include/nodes/pathnodes.h @@ -80,6 +80,25 @@ typedef enum UpperRelationKind /* NB: UPPERREL_FINAL must be last enum entry; it's used to size arrays */ } UpperRelationKind; +/* + * Hashed list to store relation specific info and to retrieve it by relids. + * + * For small problems we just scan the list to do lookups, but when there are + * many relations we build a hash table for faster lookups. The hash table is + * present and valid when rel_hash is not NULL. Note that we still maintain + * the list even when using the hash table for lookups; this simplifies life + * for GEQO. + */ +typedef struct RelInfoList +{ + pg_node_attr(no_copy_equal, no_read) + + NodeTag type; + + List* items; + struct HTAB* hash pg_node_attr(read_write_ignore); +} RelInfoList; + /*---------- * PlannerGlobal * Global information for planning/optimization @@ -257,15 +276,9 @@ struct PlannerInfo /* * join_rel_list is a list of all join-relation RelOptInfos we have - * considered in this planning run. For small problems we just scan the - * list to do lookups, but when there are many join relations we build a - * hash table for faster lookups. The hash table is present and valid - * when join_rel_hash is not NULL. Note that we still maintain the list - * even when using the hash table for lookups; this simplifies life for - * GEQO. + * considered in this planning run. */ - List *join_rel_list; - struct HTAB *join_rel_hash pg_node_attr(read_write_ignore); + struct RelInfoList* join_rel_list; /* list of join-relation RelOptInfos */ /* * When doing a dynamic-programming-style join search, join_rel_level[k] @@ -351,6 +364,9 @@ struct PlannerInfo /* list of PlaceHolderInfos */ List *placeholder_list; + /* List of GroupedVarInfos. */ + List* grouped_var_list; + /* list of ForeignKeyOptInfos */ List *fkey_list; @@ -376,7 +392,14 @@ struct PlannerInfo * Upper-rel RelOptInfos. Use fetch_upper_rel() to get any particular * upper rel. */ - List *upper_rels[UPPERREL_FINAL + 1] pg_node_attr(read_write_ignore); + RelInfoList upper_rels[UPPERREL_FINAL + 1]; /* upper-rel RelOptInfos */ + + /* + * One instance of RelAggInfo per item of the + * upper_rels[UPPERREL_PARTIAL_GROUP_AGG] list. + */ + struct RelInfoList* agg_info_list; /* list of grouped relation + * RelAggInfos */ /* Result tlists chosen by grouping_planner for upper-stage processing */ struct PathTarget *upper_targets[UPPERREL_FINAL + 1] pg_node_attr(read_write_ignore); @@ -400,6 +423,12 @@ struct PlannerInfo */ List *update_colnos; + /* + * The maximum ressortgroupref among target entries in processed_list. + * Useful when adding extra grouping expressions for partial aggregation. + */ + int max_sortgroupref; + /* * Fields filled during create_plan() for use in setrefs.c */ @@ -974,6 +1003,60 @@ typedef struct RelOptInfo ((rel)->part_scheme && (rel)->boundinfo && (rel)->nparts > 0 && \ (rel)->part_rels && (rel)->partexprs && (rel)->nullable_partexprs) +/* + * RelAggInfo + * Information needed to create grouped paths for base rels and joins. + * + * "relids" is the set of base-relation identifiers, just like with + * RelOptInfo. + * + * "target" will be used as pathtarget if partial aggregation is applied to + * base relation or join. The same target will also --- if the relation is a + * join --- be used to joinin grouped path to a non-grouped one. This target + * can contain plain-Var grouping expressions and Aggref nodes. + * + * Note: There's a convention that Aggref expressions are supposed to follow + * the other expressions of the target. Iterations of ->exprs may rely on this + * arrangement. + * + * "agg_input" contains Vars used either as grouping expressions or aggregate + * arguments. Paths providing the aggregation plan with input data should use + * this target. The only difference from reltarget of the non-grouped relation + * is that some items can have sortgroupref initialized. + * + * "input_rows" is the estimated number of input rows for AggPath. It's + * actually just a workspace for users of the structure, i.e. not initialized + * when instance of the structure is created. + * + * "group_clauses" and "group_exprs" are lists of SortGroupClause and the + * corresponding grouping expressions respectively. + * + * "agg_exprs" is a list of Aggref nodes for the aggregation of the relation's + * paths. + * + * "rel_grouped" is the relation containing the partially aggregated paths. + */ +typedef struct RelAggInfo +{ + NodeTag type; + + Relids relids; /* Base rels contained in this grouped rel. */ + + struct PathTarget *target; /* Target for grouped paths. */ + + struct PathTarget *agg_input; /* pathtarget of paths that generate input + * for aggregation paths. */ + + double input_rows; + + List *group_clauses; + List *group_exprs; + + List *agg_exprs; /* Aggref expressions. */ + + RelOptInfo *rel_grouped; /* Grouped relation. */ +} RelAggInfo; + /* * IndexOptInfo * Per-index information for planning/optimization @@ -2603,6 +2686,27 @@ typedef struct PlaceHolderVar Index phlevelsup; } PlaceHolderVar; +/* + * GroupedVarInfo exists for each expression that can be used as an aggregate + * or grouping expression evaluated below a join. + * + * TODO Rename, perhaps to GroupedTargetEntry? (Also rename the variables of + * this type.) + */ +typedef struct GroupedVarInfo +{ + NodeTag type; + + Expr* gvexpr; /* the represented expression. */ + Aggref* agg_partial; /* if gvexpr is aggregate, agg_partial is the + * corresponding partial aggregate */ + Index sortgroupref; /* If gvexpr is a grouping expression, this is + * the tleSortGroupRef of the corresponding + * SortGroupClause. */ + Relids gv_eval_at; /* lowest level we can evaluate the expression + * at or NULL if it can happen anywhere. */ +} GroupedVarInfo; + /* * "Special join" info. * diff --git a/src/include/optimizer/clauses.h b/src/include/optimizer/clauses.h index 6c5203dc44..69a457d7ed 100644 --- a/src/include/optimizer/clauses.h +++ b/src/include/optimizer/clauses.h @@ -53,6 +53,9 @@ extern void CommuteOpExpr(OpExpr *clause); extern Query *inline_set_returning_function(PlannerInfo *root, RangeTblEntry *rte); +extern GroupedVarInfo* translate_expression_to_rel(PlannerInfo* root, + GroupedVarInfo* gvi, Index relid); + extern Bitmapset *pull_paramids(Expr *expr); #endif /* CLAUSES_H */ diff --git a/src/include/optimizer/pathnode.h b/src/include/optimizer/pathnode.h index 635cc0a0a6..7acf75911b 100644 --- a/src/include/optimizer/pathnode.h +++ b/src/include/optimizer/pathnode.h @@ -227,6 +227,14 @@ extern AggPath *create_agg_path(PlannerInfo *root, List *qual, const AggClauseCosts *aggcosts, double numGroups); +extern AggPath *create_agg_sorted_path(PlannerInfo *root, + RelOptInfo *rel, + Path *subpath, + RelAggInfo *agg_info); +extern AggPath *create_agg_hashed_path(PlannerInfo *root, + RelOptInfo *rel, + Path *subpath, + RelAggInfo *agg_info); extern GroupingSetsPath *create_groupingsets_path(PlannerInfo *root, RelOptInfo *rel, Path *subpath, @@ -300,14 +308,21 @@ extern void setup_simple_rel_arrays(PlannerInfo *root); extern void expand_planner_arrays(PlannerInfo *root, int add_size); extern RelOptInfo *build_simple_rel(PlannerInfo *root, int relid, RelOptInfo *parent); +extern RelOptInfo *build_simple_grouped_rel(PlannerInfo *root, int relid, + RelAggInfo **agg_info_p); extern RelOptInfo *find_base_rel(PlannerInfo *root, int relid); extern RelOptInfo *find_join_rel(PlannerInfo *root, Relids relids); +extern void add_grouped_rel(PlannerInfo *root, RelOptInfo *rel, + RelAggInfo *agg_info); +extern RelOptInfo *find_grouped_rel(PlannerInfo *root, Relids relids, + RelAggInfo **agg_info_p); extern RelOptInfo *build_join_rel(PlannerInfo *root, Relids joinrelids, RelOptInfo *outer_rel, RelOptInfo *inner_rel, SpecialJoinInfo *sjinfo, - List **restrictlist_ptr); + List **restrictlist_ptr, + RelAggInfo *agg_info); extern Relids min_join_parameterization(PlannerInfo *root, Relids joinrelids, RelOptInfo *outer_rel, @@ -333,5 +348,5 @@ extern RelOptInfo *build_child_join_rel(PlannerInfo *root, RelOptInfo *outer_rel, RelOptInfo *inner_rel, RelOptInfo *parent_joinrel, List *restrictlist, SpecialJoinInfo *sjinfo, JoinType jointype); - +extern RelAggInfo *create_rel_agg_info(PlannerInfo *root, RelOptInfo *rel); #endif /* PATHNODE_H */ diff --git a/src/include/optimizer/paths.h b/src/include/optimizer/paths.h index b6e137cf83..2827c80e8e 100644 --- a/src/include/optimizer/paths.h +++ b/src/include/optimizer/paths.h @@ -21,6 +21,7 @@ * allpaths.c */ extern PGDLLIMPORT bool enable_geqo; +extern PGDLLIMPORT bool enable_agg_pushdown; extern PGDLLIMPORT int geqo_threshold; extern PGDLLIMPORT int min_parallel_table_scan_size; extern PGDLLIMPORT int min_parallel_index_scan_size; @@ -57,6 +58,11 @@ extern void generate_gather_paths(PlannerInfo *root, RelOptInfo *rel, bool override_rows); extern void generate_useful_gather_paths(PlannerInfo *root, RelOptInfo *rel, bool override_rows); +extern void generate_grouping_paths(PlannerInfo *root, + RelOptInfo *rel_grouped, + RelOptInfo *rel_plain, + RelAggInfo *agg_info); + extern int compute_parallel_worker(RelOptInfo *rel, double heap_pages, double index_pages, int max_workers); extern void create_partial_bitmap_paths(PlannerInfo *root, RelOptInfo *rel, diff --git a/src/include/optimizer/planmain.h b/src/include/optimizer/planmain.h index c4f61c1a09..9755d1fc9e 100644 --- a/src/include/optimizer/planmain.h +++ b/src/include/optimizer/planmain.h @@ -72,6 +72,7 @@ extern void add_other_rels_to_query(PlannerInfo *root); extern void build_base_rel_tlists(PlannerInfo *root, List *final_tlist); extern void add_vars_to_targetlist(PlannerInfo *root, List *vars, Relids where_needed, bool create_new_ph); +extern void setup_aggregate_pushdown(PlannerInfo *root); extern void find_lateral_references(PlannerInfo *root); extern void create_lateral_join_info(PlannerInfo *root); extern List *deconstruct_jointree(PlannerInfo *root); diff --git a/src/include/optimizer/tlist.h b/src/include/optimizer/tlist.h index 04668ba1c0..6e71ed47ab 100644 --- a/src/include/optimizer/tlist.h +++ b/src/include/optimizer/tlist.h @@ -49,8 +49,10 @@ extern void split_pathtarget_at_srfs(PlannerInfo *root, PathTarget *target, PathTarget *input_target, List **targets, List **targets_contain_srfs); +/* TODO Find the best location for this one. */ +extern Index get_expression_sortgroupref(Expr *expr, List *gvis); + /* Convenience macro to get a PathTarget with valid cost/width fields */ #define create_pathtarget(root, tlist) \ set_pathtarget_cost_width(root, make_pathtarget_from_tlist(tlist)) - #endif /* TLIST_H */ diff --git a/src/test/regress/expected/agg_pushdown.out b/src/test/regress/expected/agg_pushdown.out new file mode 100644 index 0000000000..682c24348a --- /dev/null +++ b/src/test/regress/expected/agg_pushdown.out @@ -0,0 +1,523 @@ +CREATE TABLE agg_pushdown_parent ( + i int primary key, + x int); +CREATE TABLE agg_pushdown_child1 ( + j int, + parent int references agg_pushdown_parent, + v double precision, + PRIMARY KEY (j, parent)); +CREATE INDEX ON agg_pushdown_child1(parent); +CREATE TABLE agg_pushdown_child2 ( + k int, + parent int references agg_pushdown_parent, + v double precision, + PRIMARY KEY (k, parent));; +INSERT INTO agg_pushdown_parent(i, x) +SELECT n, n +FROM generate_series(0, 7) AS s(n); +INSERT INTO agg_pushdown_child1(j, parent, v) +SELECT 128 * i + n, i, random() +FROM generate_series(0, 127) AS s(n), agg_pushdown_parent; +INSERT INTO agg_pushdown_child2(k, parent, v) +SELECT 128 * i + n, i, random() +FROM generate_series(0, 127) AS s(n), agg_pushdown_parent; +ANALYZE; +SET enable_agg_pushdown TO on; +SET enable_nestloop TO on; +SET enable_hashjoin TO off; +SET enable_mergejoin TO off; +-- Perform scan of a table, aggregate the result, join it to the other table +-- and finalize the aggregation. +-- +-- In addition, check that functionally dependent column "c.x" can be +-- referenced by SELECT although GROUP BY references "p.i". +EXPLAIN (COSTS off) +SELECT p.x, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + QUERY PLAN +-------------------------------------------------------------------------------- + Finalize HashAggregate + Group Key: p.i + -> Nested Loop + -> Partial HashAggregate + Group Key: c1.parent + -> Seq Scan on agg_pushdown_child1 c1 + -> Index Scan using agg_pushdown_parent_pkey on agg_pushdown_parent p + Index Cond: (i = c1.parent) +(8 rows) + +-- The same for hash join. +SET enable_nestloop TO off; +SET enable_hashjoin TO on; +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + QUERY PLAN +------------------------------------------------------------ + Finalize HashAggregate + Group Key: p.i + -> Hash Join + Hash Cond: (p.i = c1.parent) + -> Seq Scan on agg_pushdown_parent p + -> Hash + -> Partial HashAggregate + Group Key: c1.parent + -> Seq Scan on agg_pushdown_child1 c1 +(9 rows) + +-- The same for merge join. +SET enable_hashjoin TO off; +SET enable_mergejoin TO on; +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + QUERY PLAN +------------------------------------------------------------ + Finalize GroupAggregate + Group Key: p.i + -> Merge Join + Merge Cond: (p.i = c1.parent) + -> Sort + Sort Key: p.i + -> Seq Scan on agg_pushdown_parent p + -> Sort + Sort Key: c1.parent + -> Partial HashAggregate + Group Key: c1.parent + -> Seq Scan on agg_pushdown_child1 c1 +(12 rows) + +-- Restore the default values. +SET enable_nestloop TO on; +SET enable_hashjoin TO on; +-- Scan index on agg_pushdown_child1(parent) column and aggregate the result +-- using AGG_SORTED strategy. +SET enable_seqscan TO off; +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + QUERY PLAN +--------------------------------------------------------------------------------------------- + Finalize GroupAggregate + Group Key: p.i + -> Nested Loop + -> Partial GroupAggregate + Group Key: c1.parent + -> Index Scan using agg_pushdown_child1_parent_idx on agg_pushdown_child1 c1 + -> Index Only Scan using agg_pushdown_parent_pkey on agg_pushdown_parent p + Index Cond: (i = c1.parent) +(8 rows) + +SET enable_seqscan TO on; +-- Join "c1" to "p.x" column, i.e. one that is not in the GROUP BY clause. The +-- planner should still use "c1.parent" as grouping expression for partial +-- aggregation, although it's not in the same equivalence class as the GROUP +-- BY expression ("p.i"). The reason to use "c1.parent" for partial +-- aggregation is that this is the only way for "c1" to provide the join +-- expression with input data. +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.x GROUP BY p.i; + QUERY PLAN +------------------------------------------------------------ + Finalize HashAggregate + Group Key: p.i + -> Hash Join + Hash Cond: (p.x = c1.parent) + -> Seq Scan on agg_pushdown_parent p + -> Hash + -> Partial HashAggregate + Group Key: c1.parent + -> Seq Scan on agg_pushdown_child1 c1 +(9 rows) + +-- Perform nestloop join between agg_pushdown_child1 and agg_pushdown_child2 +-- and aggregate the result. +SET enable_nestloop TO on; +SET enable_hashjoin TO off; +SET enable_mergejoin TO off; +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i; + QUERY PLAN +--------------------------------------------------------------------------------------------------- + Finalize GroupAggregate + Group Key: p.i + -> Sort + Sort Key: p.i + -> Nested Loop + -> Partial HashAggregate + Group Key: c1.parent + -> Nested Loop + -> Seq Scan on agg_pushdown_child1 c1 + -> Index Scan using agg_pushdown_child2_pkey on agg_pushdown_child2 c2 + Index Cond: ((k = c1.j) AND (parent = c1.parent)) + -> Index Only Scan using agg_pushdown_parent_pkey on agg_pushdown_parent p + Index Cond: (i = c1.parent) +(13 rows) + +-- The same for hash join. +SET enable_nestloop TO off; +SET enable_hashjoin TO on; +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i; + QUERY PLAN +---------------------------------------------------------------------------------------- + Finalize GroupAggregate + Group Key: p.i + -> Sort + Sort Key: p.i + -> Hash Join + Hash Cond: (p.i = c1.parent) + -> Seq Scan on agg_pushdown_parent p + -> Hash + -> Partial HashAggregate + Group Key: c1.parent + -> Hash Join + Hash Cond: ((c1.parent = c2.parent) AND (c1.j = c2.k)) + -> Seq Scan on agg_pushdown_child1 c1 + -> Hash + -> Seq Scan on agg_pushdown_child2 c2 +(15 rows) + +-- The same for merge join. +SET enable_hashjoin TO off; +SET enable_mergejoin TO on; +SET enable_seqscan TO off; +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i; + QUERY PLAN +--------------------------------------------------------------------------------------------------- + Finalize GroupAggregate + Group Key: p.i + -> Merge Join + Merge Cond: (c1.parent = p.i) + -> Sort + Sort Key: c1.parent + -> Partial HashAggregate + Group Key: c1.parent + -> Merge Join + Merge Cond: ((c1.j = c2.k) AND (c1.parent = c2.parent)) + -> Index Scan using agg_pushdown_child1_pkey on agg_pushdown_child1 c1 + -> Index Scan using agg_pushdown_child2_pkey on agg_pushdown_child2 c2 + -> Index Only Scan using agg_pushdown_parent_pkey on agg_pushdown_parent p +(13 rows) + +-- Most of the tests above with parallel query processing enforced. +SET min_parallel_index_scan_size = 0; +SET min_parallel_table_scan_size = 0; +SET parallel_setup_cost = 0; +SET parallel_tuple_cost = 0; +-- Partially aggregate a single relation. +-- +-- Nestloop join. +SET enable_nestloop TO on; +SET enable_hashjoin TO off; +SET enable_mergejoin TO off; +EXPLAIN (COSTS off) +SELECT p.x, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + QUERY PLAN +------------------------------------------------------------------------------------------------------------ + Finalize GroupAggregate + Group Key: p.i + -> Gather Merge + Workers Planned: 1 + -> Nested Loop + -> Partial GroupAggregate + Group Key: c1.parent + -> Parallel Index Scan using agg_pushdown_child1_parent_idx on agg_pushdown_child1 c1 + -> Index Scan using agg_pushdown_parent_pkey on agg_pushdown_parent p + Index Cond: (i = c1.parent) +(10 rows) + +-- Hash join. +SET enable_nestloop TO off; +SET enable_hashjoin TO on; +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + QUERY PLAN +------------------------------------------------------------------------------------------------------------------ + Finalize GroupAggregate + Group Key: p.i + -> Sort + Sort Key: p.i + -> Gather + Workers Planned: 1 + -> Parallel Hash Join + Hash Cond: (c1.parent = p.i) + -> Partial GroupAggregate + Group Key: c1.parent + -> Parallel Index Scan using agg_pushdown_child1_parent_idx on agg_pushdown_child1 c1 + -> Parallel Hash + -> Parallel Index Only Scan using agg_pushdown_parent_pkey on agg_pushdown_parent p +(13 rows) + +-- Merge join. +SET enable_hashjoin TO off; +SET enable_mergejoin TO on; +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + QUERY PLAN +------------------------------------------------------------------------------------------------------------ + Finalize GroupAggregate + Group Key: p.i + -> Gather Merge + Workers Planned: 1 + -> Merge Join + Merge Cond: (c1.parent = p.i) + -> Partial GroupAggregate + Group Key: c1.parent + -> Parallel Index Scan using agg_pushdown_child1_parent_idx on agg_pushdown_child1 c1 + -> Index Only Scan using agg_pushdown_parent_pkey on agg_pushdown_parent p +(10 rows) + +-- Restore the default values. +SET enable_nestloop TO on; +SET enable_hashjoin TO on; +-- Perform nestloop join between agg_pushdown_child1 and agg_pushdown_child2 +-- and aggregate the result. +SET enable_nestloop TO on; +SET enable_hashjoin TO off; +SET enable_mergejoin TO off; +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i; + QUERY PLAN +------------------------------------------------------------------------------------------------------------------ + Finalize GroupAggregate + Group Key: p.i + -> Gather Merge + Workers Planned: 2 + -> Sort + Sort Key: p.i + -> Nested Loop + -> Partial HashAggregate + Group Key: c1.parent + -> Nested Loop + -> Parallel Index Scan using agg_pushdown_child1_pkey on agg_pushdown_child1 c1 + -> Index Scan using agg_pushdown_child2_pkey on agg_pushdown_child2 c2 + Index Cond: ((k = c1.j) AND (parent = c1.parent)) + -> Index Only Scan using agg_pushdown_parent_pkey on agg_pushdown_parent p + Index Cond: (i = c1.parent) +(15 rows) + +-- The same for hash join. +SET enable_nestloop TO off; +SET enable_hashjoin TO on; +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i; + QUERY PLAN +------------------------------------------------------------------------------------------------------------------------ + Finalize GroupAggregate + Group Key: p.i + -> Gather Merge + Workers Planned: 1 + -> Sort + Sort Key: p.i + -> Parallel Hash Join + Hash Cond: (c1.parent = p.i) + -> Partial HashAggregate + Group Key: c1.parent + -> Parallel Hash Join + Hash Cond: ((c1.parent = c2.parent) AND (c1.j = c2.k)) + -> Parallel Index Scan using agg_pushdown_child1_parent_idx on agg_pushdown_child1 c1 + -> Parallel Hash + -> Parallel Index Scan using agg_pushdown_child2_pkey on agg_pushdown_child2 c2 + -> Parallel Hash + -> Parallel Index Only Scan using agg_pushdown_parent_pkey on agg_pushdown_parent p +(17 rows) + +-- The same for merge join. +SET enable_hashjoin TO off; +SET enable_mergejoin TO on; +SET enable_seqscan TO off; +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i; + QUERY PLAN +------------------------------------------------------------------------------------------------------------------ + Finalize GroupAggregate + Group Key: p.i + -> Gather Merge + Workers Planned: 2 + -> Merge Join + Merge Cond: (c1.parent = p.i) + -> Sort + Sort Key: c1.parent + -> Partial HashAggregate + Group Key: c1.parent + -> Merge Join + Merge Cond: ((c1.j = c2.k) AND (c1.parent = c2.parent)) + -> Parallel Index Scan using agg_pushdown_child1_pkey on agg_pushdown_child1 c1 + -> Index Scan using agg_pushdown_child2_pkey on agg_pushdown_child2 c2 + -> Index Only Scan using agg_pushdown_parent_pkey on agg_pushdown_parent p +(15 rows) + +-- Most of the tests above with parallel query processing enforced. +SET min_parallel_index_scan_size = 0; +SET min_parallel_table_scan_size = 0; +SET parallel_setup_cost = 0; +SET parallel_tuple_cost = 0; +-- Partially aggregate a single relation. +-- +-- Nestloop join. +SET enable_nestloop TO on; +SET enable_hashjoin TO off; +SET enable_mergejoin TO off; +EXPLAIN (COSTS off) +SELECT p.x, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + QUERY PLAN +------------------------------------------------------------------------------------------------------------ + Finalize GroupAggregate + Group Key: p.i + -> Gather Merge + Workers Planned: 1 + -> Nested Loop + -> Partial GroupAggregate + Group Key: c1.parent + -> Parallel Index Scan using agg_pushdown_child1_parent_idx on agg_pushdown_child1 c1 + -> Index Scan using agg_pushdown_parent_pkey on agg_pushdown_parent p + Index Cond: (i = c1.parent) +(10 rows) + +-- Hash join. +SET enable_nestloop TO off; +SET enable_hashjoin TO on; +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + QUERY PLAN +------------------------------------------------------------------------------------------------------------------ + Finalize GroupAggregate + Group Key: p.i + -> Sort + Sort Key: p.i + -> Gather + Workers Planned: 1 + -> Parallel Hash Join + Hash Cond: (c1.parent = p.i) + -> Partial GroupAggregate + Group Key: c1.parent + -> Parallel Index Scan using agg_pushdown_child1_parent_idx on agg_pushdown_child1 c1 + -> Parallel Hash + -> Parallel Index Only Scan using agg_pushdown_parent_pkey on agg_pushdown_parent p +(13 rows) + +-- Merge join. +SET enable_hashjoin TO off; +SET enable_mergejoin TO on; +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + QUERY PLAN +------------------------------------------------------------------------------------------------------------ + Finalize GroupAggregate + Group Key: p.i + -> Gather Merge + Workers Planned: 1 + -> Merge Join + Merge Cond: (c1.parent = p.i) + -> Partial GroupAggregate + Group Key: c1.parent + -> Parallel Index Scan using agg_pushdown_child1_parent_idx on agg_pushdown_child1 c1 + -> Index Only Scan using agg_pushdown_parent_pkey on agg_pushdown_parent p +(10 rows) + +SET enable_nestloop TO on; +SET enable_hashjoin TO on; +-- Perform nestloop join between agg_pushdown_child1 and agg_pushdown_child2 +-- and aggregate the result. +SET enable_nestloop TO on; +SET enable_hashjoin TO off; +SET enable_mergejoin TO off; +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i; + QUERY PLAN +------------------------------------------------------------------------------------------------------------------ + Finalize GroupAggregate + Group Key: p.i + -> Gather Merge + Workers Planned: 2 + -> Sort + Sort Key: p.i + -> Nested Loop + -> Partial HashAggregate + Group Key: c1.parent + -> Nested Loop + -> Parallel Index Scan using agg_pushdown_child1_pkey on agg_pushdown_child1 c1 + -> Index Scan using agg_pushdown_child2_pkey on agg_pushdown_child2 c2 + Index Cond: ((k = c1.j) AND (parent = c1.parent)) + -> Index Only Scan using agg_pushdown_parent_pkey on agg_pushdown_parent p + Index Cond: (i = c1.parent) +(15 rows) + +-- The same for hash join. +SET enable_nestloop TO off; +SET enable_hashjoin TO on; +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i; + QUERY PLAN +------------------------------------------------------------------------------------------------------------------------ + Finalize GroupAggregate + Group Key: p.i + -> Gather Merge + Workers Planned: 1 + -> Sort + Sort Key: p.i + -> Parallel Hash Join + Hash Cond: (c1.parent = p.i) + -> Partial HashAggregate + Group Key: c1.parent + -> Parallel Hash Join + Hash Cond: ((c1.parent = c2.parent) AND (c1.j = c2.k)) + -> Parallel Index Scan using agg_pushdown_child1_parent_idx on agg_pushdown_child1 c1 + -> Parallel Hash + -> Parallel Index Scan using agg_pushdown_child2_pkey on agg_pushdown_child2 c2 + -> Parallel Hash + -> Parallel Index Only Scan using agg_pushdown_parent_pkey on agg_pushdown_parent p +(17 rows) + +-- The same for merge join. +SET enable_hashjoin TO off; +SET enable_mergejoin TO on; +SET enable_seqscan TO off; +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i; + QUERY PLAN +------------------------------------------------------------------------------------------------------------------ + Finalize GroupAggregate + Group Key: p.i + -> Gather Merge + Workers Planned: 2 + -> Merge Join + Merge Cond: (c1.parent = p.i) + -> Sort + Sort Key: c1.parent + -> Partial HashAggregate + Group Key: c1.parent + -> Merge Join + Merge Cond: ((c1.j = c2.k) AND (c1.parent = c2.parent)) + -> Parallel Index Scan using agg_pushdown_child1_pkey on agg_pushdown_child1 c1 + -> Index Scan using agg_pushdown_child2_pkey on agg_pushdown_child2 c2 + -> Index Only Scan using agg_pushdown_parent_pkey on agg_pushdown_parent p +(15 rows) + diff --git a/src/test/regress/expected/sysviews.out b/src/test/regress/expected/sysviews.out index 4e775af175..4bea6c667e 100644 --- a/src/test/regress/expected/sysviews.out +++ b/src/test/regress/expected/sysviews.out @@ -111,6 +111,7 @@ select count(*) = 0 as ok from pg_stat_wal_receiver; select name, setting from pg_settings where name like 'enable%'; name | setting --------------------------------+--------- + enable_agg_pushdown | off enable_async_append | on enable_bitmapscan | on enable_gathermerge | on @@ -132,7 +133,7 @@ select name, setting from pg_settings where name like 'enable%'; enable_seqscan | on enable_sort | on enable_tidscan | on -(21 rows) +(22 rows) -- Test that the pg_timezone_names and pg_timezone_abbrevs views are -- more-or-less working. We can't test their contents in any great detail diff --git a/src/test/regress/parallel_schedule b/src/test/regress/parallel_schedule index 103e11483d..a53431ba63 100644 --- a/src/test/regress/parallel_schedule +++ b/src/test/regress/parallel_schedule @@ -71,6 +71,11 @@ ignore: random # ---------- test: select_into select_distinct select_distinct_on select_implicit select_having subselect union case join aggregates transactions random portals arrays btree_index hash_index update delete namespace prepared_xacts +# ---------- +# Aggregation pushdown tests +# ---------- +test: agg_pushdown + # ---------- # Another group of parallel tests # ---------- diff --git a/src/test/regress/sql/agg_pushdown.sql b/src/test/regress/sql/agg_pushdown.sql new file mode 100644 index 0000000000..3f2bd7ec93 --- /dev/null +++ b/src/test/regress/sql/agg_pushdown.sql @@ -0,0 +1,246 @@ +CREATE TABLE agg_pushdown_parent ( + i int primary key, + x int); + +CREATE TABLE agg_pushdown_child1 ( + j int, + parent int references agg_pushdown_parent, + v double precision, + PRIMARY KEY (j, parent)); + +CREATE INDEX ON agg_pushdown_child1(parent); + +CREATE TABLE agg_pushdown_child2 ( + k int, + parent int references agg_pushdown_parent, + v double precision, + PRIMARY KEY (k, parent));; + +INSERT INTO agg_pushdown_parent(i, x) +SELECT n, n +FROM generate_series(0, 7) AS s(n); + +INSERT INTO agg_pushdown_child1(j, parent, v) +SELECT 128 * i + n, i, random() +FROM generate_series(0, 127) AS s(n), agg_pushdown_parent; + +INSERT INTO agg_pushdown_child2(k, parent, v) +SELECT 128 * i + n, i, random() +FROM generate_series(0, 127) AS s(n), agg_pushdown_parent; + +ANALYZE; + +SET enable_agg_pushdown TO on; + +SET enable_nestloop TO on; +SET enable_hashjoin TO off; +SET enable_mergejoin TO off; + +-- Perform scan of a table, aggregate the result, join it to the other table +-- and finalize the aggregation. +-- +-- In addition, check that functionally dependent column "c.x" can be +-- referenced by SELECT although GROUP BY references "p.i". +EXPLAIN (COSTS off) +SELECT p.x, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + +-- The same for hash join. +SET enable_nestloop TO off; +SET enable_hashjoin TO on; + +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + +-- The same for merge join. +SET enable_hashjoin TO off; +SET enable_mergejoin TO on; + +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + +-- Restore the default values. +SET enable_nestloop TO on; +SET enable_hashjoin TO on; + +-- Scan index on agg_pushdown_child1(parent) column and aggregate the result +-- using AGG_SORTED strategy. +SET enable_seqscan TO off; +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + +SET enable_seqscan TO on; + +-- Join "c1" to "p.x" column, i.e. one that is not in the GROUP BY clause. The +-- planner should still use "c1.parent" as grouping expression for partial +-- aggregation, although it's not in the same equivalence class as the GROUP +-- BY expression ("p.i"). The reason to use "c1.parent" for partial +-- aggregation is that this is the only way for "c1" to provide the join +-- expression with input data. +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.x GROUP BY p.i; + +-- Perform nestloop join between agg_pushdown_child1 and agg_pushdown_child2 +-- and aggregate the result. +SET enable_nestloop TO on; +SET enable_hashjoin TO off; +SET enable_mergejoin TO off; + +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i; + +-- The same for hash join. +SET enable_nestloop TO off; +SET enable_hashjoin TO on; + +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i; + +-- The same for merge join. +SET enable_hashjoin TO off; +SET enable_mergejoin TO on; +SET enable_seqscan TO off; + +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i; + +-- Most of the tests above with parallel query processing enforced. +SET min_parallel_index_scan_size = 0; +SET min_parallel_table_scan_size = 0; +SET parallel_setup_cost = 0; +SET parallel_tuple_cost = 0; + +-- Partially aggregate a single relation. +-- +-- Nestloop join. +SET enable_nestloop TO on; +SET enable_hashjoin TO off; +SET enable_mergejoin TO off; +EXPLAIN (COSTS off) +SELECT p.x, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + +-- Hash join. +SET enable_nestloop TO off; +SET enable_hashjoin TO on; + +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + +-- Merge join. +SET enable_hashjoin TO off; +SET enable_mergejoin TO on; + +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + +-- Restore the default values. +SET enable_nestloop TO on; +SET enable_hashjoin TO on; + +-- Perform nestloop join between agg_pushdown_child1 and agg_pushdown_child2 +-- and aggregate the result. +SET enable_nestloop TO on; +SET enable_hashjoin TO off; +SET enable_mergejoin TO off; + +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i; + +-- The same for hash join. +SET enable_nestloop TO off; +SET enable_hashjoin TO on; + +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i; + +-- The same for merge join. +SET enable_hashjoin TO off; +SET enable_mergejoin TO on; +SET enable_seqscan TO off; + +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i; + +-- Most of the tests above with parallel query processing enforced. +SET min_parallel_index_scan_size = 0; +SET min_parallel_table_scan_size = 0; +SET parallel_setup_cost = 0; +SET parallel_tuple_cost = 0; + +-- Partially aggregate a single relation. +-- +-- Nestloop join. +SET enable_nestloop TO on; +SET enable_hashjoin TO off; +SET enable_mergejoin TO off; +EXPLAIN (COSTS off) +SELECT p.x, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + +-- Hash join. +SET enable_nestloop TO off; +SET enable_hashjoin TO on; + +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + +-- Merge join. +SET enable_hashjoin TO off; +SET enable_mergejoin TO on; + +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v) FROM agg_pushdown_parent AS p JOIN agg_pushdown_child1 +AS c1 ON c1.parent = p.i GROUP BY p.i; + +SET enable_nestloop TO on; +SET enable_hashjoin TO on; + +-- Perform nestloop join between agg_pushdown_child1 and agg_pushdown_child2 +-- and aggregate the result. +SET enable_nestloop TO on; +SET enable_hashjoin TO off; +SET enable_mergejoin TO off; + +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i; + +-- The same for hash join. +SET enable_nestloop TO off; +SET enable_hashjoin TO on; + +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i; + +-- The same for merge join. +SET enable_hashjoin TO off; +SET enable_mergejoin TO on; +SET enable_seqscan TO off; + +EXPLAIN (COSTS off) +SELECT p.i, avg(c1.v + c2.v) FROM agg_pushdown_parent AS p JOIN +agg_pushdown_child1 AS c1 ON c1.parent = p.i JOIN agg_pushdown_child2 AS c2 ON +c2.parent = p.i WHERE c1.j = c2.k GROUP BY p.i;