postgresql/src/include/optimizer/paths.h

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/*-------------------------------------------------------------------------
*
* paths.h
* prototypes for various files in optimizer/path
*
*
* Portions Copyright (c) 1996-2022, PostgreSQL Global Development Group
* Portions Copyright (c) 1994, Regents of the University of California
*
2010-09-20 22:08:53 +02:00
* src/include/optimizer/paths.h
*
*-------------------------------------------------------------------------
*/
#ifndef PATHS_H
#define PATHS_H
#include "nodes/pathnodes.h"
1997-11-26 02:14:33 +01:00
/*
* allpaths.c
*/
extern PGDLLIMPORT bool enable_geqo;
extern PGDLLIMPORT int geqo_threshold;
extern PGDLLIMPORT int min_parallel_table_scan_size;
extern PGDLLIMPORT int min_parallel_index_scan_size;
/* Hook for plugins to get control in set_rel_pathlist() */
typedef void (*set_rel_pathlist_hook_type) (PlannerInfo *root,
RelOptInfo *rel,
Index rti,
RangeTblEntry *rte);
extern PGDLLIMPORT set_rel_pathlist_hook_type set_rel_pathlist_hook;
/* Hook for plugins to get control in add_paths_to_joinrel() */
typedef void (*set_join_pathlist_hook_type) (PlannerInfo *root,
Code review for foreign/custom join pushdown patch. Commit e7cb7ee14555cc9c5773e2c102efd6371f6f2005 included some design decisions that seem pretty questionable to me, and there was quite a lot of stuff not to like about the documentation and comments. Clean up as follows: * Consider foreign joins only between foreign tables on the same server, rather than between any two foreign tables with the same underlying FDW handler function. In most if not all cases, the FDW would simply have had to apply the same-server restriction itself (far more expensively, both for lack of caching and because it would be repeated for each combination of input sub-joins), or else risk nasty bugs. Anyone who's really intent on doing something outside this restriction can always use the set_join_pathlist_hook. * Rename fdw_ps_tlist/custom_ps_tlist to fdw_scan_tlist/custom_scan_tlist to better reflect what they're for, and allow these custom scan tlists to be used even for base relations. * Change make_foreignscan() API to include passing the fdw_scan_tlist value, since the FDW is required to set that. Backwards compatibility doesn't seem like an adequate reason to expect FDWs to set it in some ad-hoc extra step, and anyway existing FDWs can just pass NIL. * Change the API of path-generating subroutines of add_paths_to_joinrel, and in particular that of GetForeignJoinPaths and set_join_pathlist_hook, so that various less-used parameters are passed in a struct rather than as separate parameter-list entries. The objective here is to reduce the probability that future additions to those parameter lists will result in source-level API breaks for users of these hooks. It's possible that this is even a small win for the core code, since most CPU architectures can't pass more than half a dozen parameters efficiently anyway. I kept root, joinrel, outerrel, innerrel, and jointype as separate parameters to reduce code churn in joinpath.c --- in particular, putting jointype into the struct would have been problematic because of the subroutines' habit of changing their local copies of that variable. * Avoid ad-hocery in ExecAssignScanProjectionInfo. It was probably all right for it to know about IndexOnlyScan, but if the list is to grow we should refactor the knowledge out to the callers. * Restore nodeForeignscan.c's previous use of the relcache to avoid extra GetFdwRoutine lookups for base-relation scans. * Lots of cleanup of documentation and missed comments. Re-order some code additions into more logical places.
2015-05-10 20:36:30 +02:00
RelOptInfo *joinrel,
RelOptInfo *outerrel,
RelOptInfo *innerrel,
JoinType jointype,
JoinPathExtraData *extra);
extern PGDLLIMPORT set_join_pathlist_hook_type set_join_pathlist_hook;
/* Hook for plugins to replace standard_join_search() */
typedef RelOptInfo *(*join_search_hook_type) (PlannerInfo *root,
int levels_needed,
List *initial_rels);
extern PGDLLIMPORT join_search_hook_type join_search_hook;
extern RelOptInfo *make_one_rel(PlannerInfo *root, List *joinlist);
extern RelOptInfo *standard_join_search(PlannerInfo *root, int levels_needed,
List *initial_rels);
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 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,
Path *bitmapqual);
extern void generate_partitionwise_join_paths(PlannerInfo *root,
Basic partition-wise join functionality. Instead of joining two partitioned tables in their entirety we can, if it is an equi-join on the partition keys, join the matching partitions individually. This involves teaching the planner about "other join" rels, which are related to regular join rels in the same way that other member rels are related to baserels. This can use significantly more CPU time and memory than regular join planning, because there may now be a set of "other" rels not only for every base relation but also for every join relation. In most practical cases, this probably shouldn't be a problem, because (1) it's probably unusual to join many tables each with many partitions using the partition keys for all joins and (2) if you do that scenario then you probably have a big enough machine to handle the increased memory cost of planning and (3) the resulting plan is highly likely to be better, so what you spend in planning you'll make up on the execution side. All the same, for now, turn this feature off by default. Currently, we can only perform joins between two tables whose partitioning schemes are absolutely identical. It would be nice to cope with other scenarios, such as extra partitions on one side or the other with no match on the other side, but that will have to wait for a future patch. Ashutosh Bapat, reviewed and tested by Rajkumar Raghuwanshi, Amit Langote, Rafia Sabih, Thomas Munro, Dilip Kumar, Antonin Houska, Amit Khandekar, and by me. A few final adjustments by me. Discussion: http://postgr.es/m/CAFjFpRfQ8GrQvzp3jA2wnLqrHmaXna-urjm_UY9BqXj=EaDTSA@mail.gmail.com Discussion: http://postgr.es/m/CAFjFpRcitjfrULr5jfuKWRPsGUX0LQ0k8-yG0Qw2+1LBGNpMdw@mail.gmail.com
2017-10-06 17:11:10 +02:00
RelOptInfo *rel);
#ifdef OPTIMIZER_DEBUG
extern void debug_print_rel(PlannerInfo *root, RelOptInfo *rel);
#endif
/*
* indxpath.c
* routines to generate index paths
*/
extern void create_index_paths(PlannerInfo *root, RelOptInfo *rel);
extern bool relation_has_unique_index_for(PlannerInfo *root, RelOptInfo *rel,
List *restrictlist,
List *exprlist, List *oprlist);
Fix pull_varnos' miscomputation of relids set for a PlaceHolderVar. Previously, pull_varnos() took the relids of a PlaceHolderVar as being equal to the relids in its contents, but that fails to account for the possibility that we have to postpone evaluation of the PHV due to outer joins. This could result in a malformed plan. The known cases end up triggering the "failed to assign all NestLoopParams to plan nodes" sanity check in createplan.c, but other symptoms may be possible. The right value to use is the join level we actually intend to evaluate the PHV at. We can get that from the ph_eval_at field of the associated PlaceHolderInfo. However, there are some places that call pull_varnos() before the PlaceHolderInfos have been created; in that case, fall back to the conservative assumption that the PHV will be evaluated at its syntactic level. (In principle this might result in missing some legal optimization, but I'm not aware of any cases where it's an issue in practice.) Things are also a bit ticklish for calls occurring during deconstruct_jointree(), but AFAICS the ph_eval_at fields should have reached their final values by the time we need them. The main problem in making this work is that pull_varnos() has no way to get at the PlaceHolderInfos. We can fix that easily, if a bit tediously, in HEAD by passing it the planner "root" pointer. In the back branches that'd cause an unacceptable API/ABI break for extensions, so leave the existing entry points alone and add new ones with the additional parameter. (If an old entry point is called and encounters a PHV, it'll fall back to using the syntactic level, again possibly missing some valid optimization.) Back-patch to v12. The computation is surely also wrong before that, but it appears that we cannot reach a bad plan thanks to join order restrictions imposed on the subquery that the PlaceHolderVar came from. The error only became reachable when commit 4be058fe9 allowed trivial subqueries to be collapsed out completely, eliminating their join order restrictions. Per report from Stephan Springl. Discussion: https://postgr.es/m/171041.1610849523@sss.pgh.pa.us
2021-01-21 21:37:23 +01:00
extern bool indexcol_is_bool_constant_for_query(PlannerInfo *root,
IndexOptInfo *index,
int indexcol);
extern bool match_index_to_operand(Node *operand, int indexcol,
IndexOptInfo *index);
Support using index-only scans with partial indexes in more cases. Previously, the planner would reject an index-only scan if any restriction clause for its table used a column not available from the index, even if that restriction clause would later be dropped from the plan entirely because it's implied by the index's predicate. This is a fairly common situation for partial indexes because predicates using columns not included in the index are often the most useful kind of predicate, and we have to duplicate (or at least imply) the predicate in the WHERE clause in order to get the index to be considered at all. So index-only scans were essentially unavailable with such partial indexes. To fix, we have to do detection of implied-by-predicate clauses much earlier in the planner. This patch puts it in check_index_predicates (nee check_partial_indexes), meaning it gets done for every partial index, whereas we previously only considered this issue at createplan time, so that the work was only done for an index actually selected for use. That could result in a noticeable planning slowdown for queries against tables with many partial indexes. However, testing suggested that there isn't really a significant cost, especially not with reasonable numbers of partial indexes. We do get a small additional benefit, which is that cost_index is more accurate since it correctly discounts the evaluation cost of clauses that will be removed. We can also avoid considering such clauses as potential indexquals, which saves useless matching cycles in the case where the predicate columns aren't in the index, and prevents generating bogus plans that double-count the clause's selectivity when the columns are in the index. Tomas Vondra and Kyotaro Horiguchi, reviewed by Kevin Grittner and Konstantin Knizhnik, and whacked around a little by me
2016-03-31 20:48:56 +02:00
extern void check_index_predicates(PlannerInfo *root, RelOptInfo *rel);
/*
* tidpath.h
* routines to generate tid paths
*/
extern void create_tidscan_paths(PlannerInfo *root, RelOptInfo *rel);
/*
* joinpath.c
* routines to create join paths
*/
extern void add_paths_to_joinrel(PlannerInfo *root, RelOptInfo *joinrel,
RelOptInfo *outerrel, RelOptInfo *innerrel,
JoinType jointype, SpecialJoinInfo *sjinfo,
List *restrictlist);
/*
* joinrels.c
* routines to determine which relations to join
*/
extern void join_search_one_level(PlannerInfo *root, int level);
extern RelOptInfo *make_join_rel(PlannerInfo *root,
RelOptInfo *rel1, RelOptInfo *rel2);
Restructure code that is responsible for ensuring that clauseless joins are considered when it is necessary to do so because of a join-order restriction (that is, an outer-join or IN-subselect construct). The former coding was a bit ad-hoc and inconsistent, and it missed some cases, as exposed by Mario Weilguni's recent bug report. His specific problem was that an IN could be turned into a "clauseless" join due to constant-propagation removing the IN's joinclause, and if the IN's subselect involved more than one relation and there was more than one such IN linking to the same upper relation, then the only valid join orders involve "bushy" plans but we would fail to consider the specific paths needed to get there. (See the example case added to the join regression test.) On examining the code I wonder if there weren't some other problem cases too; in particular it seems that GEQO was defending against a different set of corner cases than the main planner was. There was also an efficiency problem, in that when we did realize we needed a clauseless join because of an IN, we'd consider clauseless joins against every other relation whether this was sensible or not. It seems a better design is to use the outer-join and in-clause lists as a backup heuristic, just as the rule of joining only where there are joinclauses is a heuristic: we'll join two relations if they have a usable joinclause *or* this might be necessary to satisfy an outer-join or IN-clause join order restriction. I refactored the code to have just one place considering this instead of three, and made sure that it covered all the cases that any of them had been considering. Backpatch as far as 8.1 (which has only the IN-clause form of the disease). By rights 8.0 and 7.4 should have the bug too, but they accidentally fail to fail, because the joininfo structure used in those releases preserves some memory of there having once been a joinclause between the inner and outer sides of an IN, and so it leads the code in the right direction anyway. I'll be conservative and not touch them.
2007-02-16 01:14:01 +01:00
extern bool have_join_order_restriction(PlannerInfo *root,
RelOptInfo *rel1, RelOptInfo *rel2);
Still more fixes for planner's handling of LATERAL references. More fuzz testing by Andreas Seltenreich exposed that the planner did not cope well with chains of lateral references. If relation X references Y laterally, and Y references Z laterally, then we will have to scan X on the inside of a nestloop with Z, so for all intents and purposes X is laterally dependent on Z too. The planner did not understand this and would generate intermediate joins that could not be used. While that was usually harmless except for wasting some planning cycles, under the right circumstances it would lead to "failed to build any N-way joins" or "could not devise a query plan" planner failures. To fix that, convert the existing per-relation lateral_relids and lateral_referencers relid sets into their transitive closures; that is, they now show all relations on which a rel is directly or indirectly laterally dependent. This not only fixes the chained-reference problem but allows some of the relevant tests to be made substantially simpler and faster, since they can be reduced to simple bitmap manipulations instead of searches of the LateralJoinInfo list. Also, when a PlaceHolderVar that is due to be evaluated at a join contains lateral references, we should treat those references as indirect lateral dependencies of each of the join's base relations. This prevents us from trying to join any individual base relations to the lateral reference source before the join is formed, which again cannot work. Andreas' testing also exposed another oversight in the "dangerous PlaceHolderVar" test added in commit 85e5e222b1dd02f1. Simply rejecting unsafe join paths in joinpath.c is insufficient, because in some cases we will end up rejecting *all* possible paths for a particular join, again leading to "could not devise a query plan" failures. The restriction has to be known also to join_is_legal and its cohort functions, so that they will not select a join for which that will happen. I chose to move the supporting logic into joinrels.c where the latter functions are. Back-patch to 9.3 where LATERAL support was introduced.
2015-12-11 20:22:20 +01:00
extern bool have_dangerous_phv(PlannerInfo *root,
Relids outer_relids, Relids inner_params);
Basic partition-wise join functionality. Instead of joining two partitioned tables in their entirety we can, if it is an equi-join on the partition keys, join the matching partitions individually. This involves teaching the planner about "other join" rels, which are related to regular join rels in the same way that other member rels are related to baserels. This can use significantly more CPU time and memory than regular join planning, because there may now be a set of "other" rels not only for every base relation but also for every join relation. In most practical cases, this probably shouldn't be a problem, because (1) it's probably unusual to join many tables each with many partitions using the partition keys for all joins and (2) if you do that scenario then you probably have a big enough machine to handle the increased memory cost of planning and (3) the resulting plan is highly likely to be better, so what you spend in planning you'll make up on the execution side. All the same, for now, turn this feature off by default. Currently, we can only perform joins between two tables whose partitioning schemes are absolutely identical. It would be nice to cope with other scenarios, such as extra partitions on one side or the other with no match on the other side, but that will have to wait for a future patch. Ashutosh Bapat, reviewed and tested by Rajkumar Raghuwanshi, Amit Langote, Rafia Sabih, Thomas Munro, Dilip Kumar, Antonin Houska, Amit Khandekar, and by me. A few final adjustments by me. Discussion: http://postgr.es/m/CAFjFpRfQ8GrQvzp3jA2wnLqrHmaXna-urjm_UY9BqXj=EaDTSA@mail.gmail.com Discussion: http://postgr.es/m/CAFjFpRcitjfrULr5jfuKWRPsGUX0LQ0k8-yG0Qw2+1LBGNpMdw@mail.gmail.com
2017-10-06 17:11:10 +02:00
extern void mark_dummy_rel(RelOptInfo *rel);
/*
* equivclass.c
* routines for managing EquivalenceClasses
*/
typedef bool (*ec_matches_callback_type) (PlannerInfo *root,
RelOptInfo *rel,
EquivalenceClass *ec,
EquivalenceMember *em,
void *arg);
extern bool process_equivalence(PlannerInfo *root,
RestrictInfo **p_restrictinfo,
bool below_outer_join);
extern Expr *canonicalize_ec_expression(Expr *expr,
Oid req_type, Oid req_collation);
extern void reconsider_outer_join_clauses(PlannerInfo *root);
extern EquivalenceClass *get_eclass_for_sort_expr(PlannerInfo *root,
Expr *expr,
Compute correct em_nullable_relids in get_eclass_for_sort_expr(). Bug #8591 from Claudio Freire demonstrates that get_eclass_for_sort_expr must be able to compute valid em_nullable_relids for any new equivalence class members it creates. I'd worried about this in the commit message for db9f0e1d9a4a0842c814a464cdc9758c3f20b96c, but claimed that it wasn't a problem because multi-member ECs should already exist when it runs. That is transparently wrong, though, because this function is also called by initialize_mergeclause_eclasses, which runs during deconstruct_jointree. The example given in the bug report (which the new regression test item is based upon) fails because the COALESCE() expression is first seen by initialize_mergeclause_eclasses rather than process_equivalence. Fixing this requires passing the appropriate nullable_relids set to get_eclass_for_sort_expr, and it requires new code to compute that set for top-level expressions such as ORDER BY, GROUP BY, etc. We store the top-level nullable_relids in a new field in PlannerInfo to avoid computing it many times. In the back branches, I've added the new field at the end of the struct to minimize ABI breakage for planner plugins. There doesn't seem to be a good alternative to changing get_eclass_for_sort_expr's API signature, though. There probably aren't any third-party extensions calling that function directly; moreover, if there are, they probably need to think about what to pass for nullable_relids anyway. Back-patch to 9.2, like the previous patch in this area.
2013-11-15 22:46:18 +01:00
Relids nullable_relids,
List *opfamilies,
Oid opcintype,
Oid collation,
Index sortref,
Revisit handling of UNION ALL subqueries with non-Var output columns. In commit 57664ed25e5dea117158a2e663c29e60b3546e1c I tried to fix a bug reported by Teodor Sigaev by making non-simple-Var output columns distinct (by wrapping their expressions with dummy PlaceHolderVar nodes). This did not work too well. Commit b28ffd0fcc583c1811e5295279e7d4366c3cae6c fixed some ensuing problems with matching to child indexes, but per a recent report from Claus Stadler, constraint exclusion of UNION ALL subqueries was still broken, because constant-simplification didn't handle the injected PlaceHolderVars well either. On reflection, the original patch was quite misguided: there is no reason to expect that EquivalenceClass child members will be distinct. So instead of trying to make them so, we should ensure that we can cope with the situation when they're not. Accordingly, this patch reverts the code changes in the above-mentioned commits (though the regression test cases they added stay). Instead, I've added assorted defenses to make sure that duplicate EC child members don't cause any problems. Teodor's original problem ("MergeAppend child's targetlist doesn't match MergeAppend") is addressed more directly by revising prepare_sort_from_pathkeys to let the parent MergeAppend's sort list guide creation of each child's sort list. In passing, get rid of add_sort_column; as far as I can tell, testing for duplicate sort keys at this stage is dead code. Certainly it doesn't trigger often enough to be worth expending cycles on in ordinary queries. And keeping the test would've greatly complicated the new logic in prepare_sort_from_pathkeys, because comparing pathkey list entries against a previous output array requires that we not skip any entries in the list. Back-patch to 9.1, like the previous patches. The only known issue in this area that wasn't caused by the ill-advised previous patches was the MergeAppend planning failure, which of course is not relevant before 9.1. It's possible that we need some of the new defenses against duplicate child EC entries in older branches, but until there's some clear evidence of that I'm going to refrain from back-patching further.
2012-03-16 18:11:12 +01:00
Relids rel,
bool create_it);
extern EquivalenceMember *find_ec_member_matching_expr(EquivalenceClass *ec,
Expr *expr,
Relids relids);
extern EquivalenceMember *find_computable_ec_member(PlannerInfo *root,
EquivalenceClass *ec,
List *exprs,
Relids relids,
bool require_parallel_safe);
extern bool relation_can_be_sorted_early(PlannerInfo *root, RelOptInfo *rel,
EquivalenceClass *ec,
bool require_parallel_safe);
extern void generate_base_implied_equalities(PlannerInfo *root);
extern List *generate_join_implied_equalities(PlannerInfo *root,
Revise parameterized-path mechanism to fix assorted issues. This patch adjusts the treatment of parameterized paths so that all paths with the same parameterization (same set of required outer rels) for the same relation will have the same rowcount estimate. We cache the rowcount estimates to ensure that property, and hopefully save a few cycles too. Doing this makes it practical for add_path_precheck to operate without a rowcount estimate: it need only assume that paths with different parameterizations never dominate each other, which is close enough to true anyway for coarse filtering, because normally a more-parameterized path should yield fewer rows thanks to having more join clauses to apply. In add_path, we do the full nine yards of comparing rowcount estimates along with everything else, so that we can discard parameterized paths that don't actually have an advantage. This fixes some issues I'd found with add_path rejecting parameterized paths on the grounds that they were more expensive than not-parameterized ones, even though they yielded many fewer rows and hence would be cheaper once subsequent joining was considered. To make the same-rowcounts assumption valid, we have to require that any parameterized path enforce *all* join clauses that could be obtained from the particular set of outer rels, even if not all of them are useful for indexing. This is required at both base scans and joins. It's a good thing anyway since the net impact is that join quals are checked at the lowest practical level in the join tree. Hence, discard the original rather ad-hoc mechanism for choosing parameterization joinquals, and build a better one that has a more principled rule for when clauses can be moved. The original rule was actually buggy anyway for lack of knowledge about which relations are part of an outer join's outer side; getting this right requires adding an outer_relids field to RestrictInfo.
2012-04-19 21:52:46 +02:00
Relids join_relids,
Relids outer_relids,
RelOptInfo *inner_rel);
Fix mishandling of equivalence-class tests in parameterized plans. Given a three-or-more-way equivalence class, such as X.Y = Y.Y = Z.Z, it was possible for the planner to omit one of the quals needed to enforce that all members of the equivalence class are actually equal. This only happened in the case of a parameterized join node for two of the relations, that is a plan tree like Nested Loop -> Scan X -> Nested Loop -> Scan Y -> Scan Z Filter: Z.Z = X.X The eclass machinery normally expects to apply X.X = Y.Y when those two relations are joined, but in this shape of plan tree they aren't joined until the top node --- and, if the lower nested loop is marked as parameterized by X, the top node will assume that the relevant eclass condition(s) got pushed down into the lower node. On the other hand, the scan of Z assumes that it's only responsible for constraining Z.Z to match any one of the other eclass members. So one or another of the required quals sometimes fell between the cracks, depending on whether consideration of the eclass in get_joinrel_parampathinfo() for the lower nested loop chanced to generate X.X = Y.Y or X.X = Z.Z as the appropriate constraint there. If it generated the latter, it'd erroneously suppose that the Z scan would take care of matters. To fix, force X.X = Y.Y to be generated and applied at that join node when this case occurs. This is *extremely* hard to hit in practice, because various planner behaviors conspire to mask the problem; starting with the fact that the planner doesn't really like to generate a parameterized plan of the above shape. (It might have been impossible to hit it before we tweaked things to allow this plan shape for star-schema cases.) Many thanks to Alexander Kirkouski for submitting a reproducible test case. The bug can be demonstrated in all branches back to 9.2 where parameterized paths were introduced, so back-patch that far.
2016-04-30 02:19:38 +02:00
extern List *generate_join_implied_equalities_for_ecs(PlannerInfo *root,
List *eclasses,
Relids join_relids,
Relids outer_relids,
RelOptInfo *inner_rel);
extern bool exprs_known_equal(PlannerInfo *root, Node *item1, Node *item2);
extern EquivalenceClass *match_eclasses_to_foreign_key_col(PlannerInfo *root,
ForeignKeyOptInfo *fkinfo,
int colno);
Fix foreign-key selectivity estimation in the presence of constants. get_foreign_key_join_selectivity() looks for join clauses that equate the two sides of the FK constraint. However, if we have a query like "WHERE fktab.a = pktab.a and fktab.a = 1", it won't find any such join clause, because equivclass.c replaces the given clauses with "fktab.a = 1 and pktab.a = 1", which can be enforced at the scan level, leaving nothing to be done for column "a" at the join level. We can fix that expectation without much trouble, but then a new problem arises: applying the foreign-key-based selectivity rule produces a rowcount underestimate, because we're effectively double-counting the selectivity of the "fktab.a = 1" clause. So we have to cancel that selectivity out of the estimate. To fix, refactor process_implied_equality() so that it can pass back the new RestrictInfo to its callers in equivclass.c, allowing the generated "fktab.a = 1" clause to be saved in the EquivalenceClass's ec_derives list. Then it's not much trouble to dig out the relevant RestrictInfo when we need to adjust an FK selectivity estimate. (While at it, we can also remove the expensive use of initialize_mergeclause_eclasses() to set up the new RestrictInfo's left_ec and right_ec pointers. The equivclass.c code can set those basically for free.) This seems like clearly a bug fix, but I'm hesitant to back-patch it, first because there's some API/ABI risk for extensions and second because we're usually loath to destabilize plan choices in stable branches. Per report from Sigrid Ehrenreich. Discussion: https://postgr.es/m/1019549.1603770457@sss.pgh.pa.us Discussion: https://postgr.es/m/AM6PR02MB5287A0ADD936C1FA80973E72AB190@AM6PR02MB5287.eurprd02.prod.outlook.com
2020-10-28 16:15:47 +01:00
extern RestrictInfo *find_derived_clause_for_ec_member(EquivalenceClass *ec,
EquivalenceMember *em);
extern void add_child_rel_equivalences(PlannerInfo *root,
AppendRelInfo *appinfo,
RelOptInfo *parent_rel,
RelOptInfo *child_rel);
extern void add_child_join_rel_equivalences(PlannerInfo *root,
int nappinfos,
AppendRelInfo **appinfos,
RelOptInfo *parent_joinrel,
RelOptInfo *child_joinrel);
extern List *generate_implied_equalities_for_column(PlannerInfo *root,
RelOptInfo *rel,
ec_matches_callback_type callback,
void *callback_arg,
Relids prohibited_rels);
extern bool have_relevant_eclass_joinclause(PlannerInfo *root,
RelOptInfo *rel1, RelOptInfo *rel2);
extern bool has_relevant_eclass_joinclause(PlannerInfo *root,
RelOptInfo *rel1);
extern bool eclass_useful_for_merging(PlannerInfo *root,
EquivalenceClass *eclass,
RelOptInfo *rel);
Revise parameterized-path mechanism to fix assorted issues. This patch adjusts the treatment of parameterized paths so that all paths with the same parameterization (same set of required outer rels) for the same relation will have the same rowcount estimate. We cache the rowcount estimates to ensure that property, and hopefully save a few cycles too. Doing this makes it practical for add_path_precheck to operate without a rowcount estimate: it need only assume that paths with different parameterizations never dominate each other, which is close enough to true anyway for coarse filtering, because normally a more-parameterized path should yield fewer rows thanks to having more join clauses to apply. In add_path, we do the full nine yards of comparing rowcount estimates along with everything else, so that we can discard parameterized paths that don't actually have an advantage. This fixes some issues I'd found with add_path rejecting parameterized paths on the grounds that they were more expensive than not-parameterized ones, even though they yielded many fewer rows and hence would be cheaper once subsequent joining was considered. To make the same-rowcounts assumption valid, we have to require that any parameterized path enforce *all* join clauses that could be obtained from the particular set of outer rels, even if not all of them are useful for indexing. This is required at both base scans and joins. It's a good thing anyway since the net impact is that join quals are checked at the lowest practical level in the join tree. Hence, discard the original rather ad-hoc mechanism for choosing parameterization joinquals, and build a better one that has a more principled rule for when clauses can be moved. The original rule was actually buggy anyway for lack of knowledge about which relations are part of an outer join's outer side; getting this right requires adding an outer_relids field to RestrictInfo.
2012-04-19 21:52:46 +02:00
extern bool is_redundant_derived_clause(RestrictInfo *rinfo, List *clauselist);
Refactor the representation of indexable clauses in IndexPaths. In place of three separate but interrelated lists (indexclauses, indexquals, and indexqualcols), an IndexPath now has one list "indexclauses" of IndexClause nodes. This holds basically the same information as before, but in a more useful format: in particular, there is now a clear connection between an indexclause (an original restriction clause from WHERE or JOIN/ON) and the indexquals (directly usable index conditions) derived from it. We also change the ground rules a bit by mandating that clause commutation, if needed, be done up-front so that what is stored in the indexquals list is always directly usable as an index condition. This gets rid of repeated re-determination of which side of the clause is the indexkey during costing and plan generation, as well as repeated lookups of the commutator operator. To minimize the added up-front cost, the typical case of commuting a plain OpExpr is handled by a new special-purpose function commute_restrictinfo(). For RowCompareExprs, generating the new clause properly commuted to begin with is not really any more complex than before, it's just different --- and we can save doing that work twice, as the pretty-klugy original implementation did. Tracking the connection between original and derived clauses lets us also track explicitly whether the derived clauses are an exact or lossy translation of the original. This provides a cheap solution to getting rid of unnecessary rechecks of boolean index clauses, which previously seemed like it'd be more expensive than it was worth. Another pleasant (IMO) side-effect is that EXPLAIN now always shows index clauses with the indexkey on the left; this seems less confusing. This commit leaves expand_indexqual_conditions() and some related functions in a slightly messy state. I didn't bother to change them any more than minimally necessary to work with the new data structure, because all that code is going to be refactored out of existence in a follow-on patch. Discussion: https://postgr.es/m/22182.1549124950@sss.pgh.pa.us
2019-02-09 23:30:43 +01:00
extern bool is_redundant_with_indexclauses(RestrictInfo *rinfo,
List *indexclauses);
/*
* pathkeys.c
* utilities for matching and building path keys
*/
typedef enum
{
PATHKEYS_EQUAL, /* pathkeys are identical */
PATHKEYS_BETTER1, /* pathkey 1 is a superset of pathkey 2 */
PATHKEYS_BETTER2, /* vice versa */
PATHKEYS_DIFFERENT /* neither pathkey includes the other */
} PathKeysComparison;
extern PathKeysComparison compare_pathkeys(List *keys1, List *keys2);
extern bool pathkeys_contained_in(List *keys1, List *keys2);
Implement Incremental Sort Incremental Sort is an optimized variant of multikey sort for cases when the input is already sorted by a prefix of the requested sort keys. For example when the relation is already sorted by (key1, key2) and we need to sort it by (key1, key2, key3) we can simply split the input rows into groups having equal values in (key1, key2), and only sort/compare the remaining column key3. This has a number of benefits: - Reduced memory consumption, because only a single group (determined by values in the sorted prefix) needs to be kept in memory. This may also eliminate the need to spill to disk. - Lower startup cost, because Incremental Sort produce results after each prefix group, which is beneficial for plans where startup cost matters (like for example queries with LIMIT clause). We consider both Sort and Incremental Sort, and decide based on costing. The implemented algorithm operates in two different modes: - Fetching a minimum number of tuples without check of equality on the prefix keys, and sorting on all columns when safe. - Fetching all tuples for a single prefix group and then sorting by comparing only the remaining (non-prefix) keys. We always start in the first mode, and employ a heuristic to switch into the second mode if we believe it's beneficial - the goal is to minimize the number of unnecessary comparions while keeping memory consumption below work_mem. This is a very old patch series. The idea was originally proposed by Alexander Korotkov back in 2013, and then revived in 2017. In 2018 the patch was taken over by James Coleman, who wrote and rewrote most of the current code. There were many reviewers/contributors since 2013 - I've done my best to pick the most active ones, and listed them in this commit message. Author: James Coleman, Alexander Korotkov Reviewed-by: Tomas Vondra, Andreas Karlsson, Marti Raudsepp, Peter Geoghegan, Robert Haas, Thomas Munro, Antonin Houska, Andres Freund, Alexander Kuzmenkov Discussion: https://postgr.es/m/CAPpHfdscOX5an71nHd8WSUH6GNOCf=V7wgDaTXdDd9=goN-gfA@mail.gmail.com Discussion: https://postgr.es/m/CAPpHfds1waRZ=NOmueYq0sx1ZSCnt+5QJvizT8ndT2=etZEeAQ@mail.gmail.com
2020-04-06 21:33:28 +02:00
extern bool pathkeys_count_contained_in(List *keys1, List *keys2, int *n_common);
extern Path *get_cheapest_path_for_pathkeys(List *paths, List *pathkeys,
Relids required_outer,
CostSelector cost_criterion,
bool require_parallel_safe);
extern Path *get_cheapest_fractional_path_for_pathkeys(List *paths,
List *pathkeys,
Relids required_outer,
double fraction);
extern Path *get_cheapest_parallel_safe_total_inner(List *paths);
extern List *build_index_pathkeys(PlannerInfo *root, IndexOptInfo *index,
ScanDirection scandir);
Use Append rather than MergeAppend for scanning ordered partitions. If we need ordered output from a scan of a partitioned table, but the ordering matches the partition ordering, then we don't need to use a MergeAppend to combine the pre-ordered per-partition scan results: a plain Append will produce the same results. This both saves useless comparison work inside the MergeAppend proper, and allows us to start returning tuples after istarting up just the first child node not all of them. However, all is not peaches and cream, because if some of the child nodes have high startup costs then there will be big discontinuities in the tuples-returned-versus-elapsed-time curve. The planner's cost model cannot handle that (yet, anyway). If we model the Append's startup cost as being just the first child's startup cost, we may drastically underestimate the cost of fetching slightly more tuples than are available from the first child. Since we've had bad experiences with over-optimistic choices of "fast start" plans for ORDER BY LIMIT queries, that seems scary. As a klugy workaround, set the startup cost estimate for an ordered Append to be the sum of its children's startup costs (as MergeAppend would). This doesn't really describe reality, but it's less likely to cause a bad plan choice than an underestimated startup cost would. In practice, the cases where we really care about this optimization will have child plans that are IndexScans with zero startup cost, so that the overly conservative estimate is still just zero. David Rowley, reviewed by Julien Rouhaud and Antonin Houska Discussion: https://postgr.es/m/CAKJS1f-hAqhPLRk_RaSFTgYxd=Tz5hA7kQ2h4-DhJufQk8TGuw@mail.gmail.com
2019-04-06 01:20:30 +02:00
extern List *build_partition_pathkeys(PlannerInfo *root, RelOptInfo *partrel,
ScanDirection scandir, bool *partialkeys);
extern List *build_expression_pathkey(PlannerInfo *root, Expr *expr,
Relids nullable_relids, Oid opno,
Relids rel, bool create_it);
extern List *convert_subquery_pathkeys(PlannerInfo *root, RelOptInfo *rel,
Make the upper part of the planner work by generating and comparing Paths. I've been saying we needed to do this for more than five years, and here it finally is. This patch removes the ever-growing tangle of spaghetti logic that grouping_planner() used to use to try to identify the best plan for post-scan/join query steps. Now, there is (nearly) independent consideration of each execution step, and entirely separate construction of Paths to represent each of the possible ways to do that step. We choose the best Path or set of Paths using the same add_path() logic that's been used inside query_planner() for years. In addition, this patch removes the old restriction that subquery_planner() could return only a single Plan. It now returns a RelOptInfo containing a set of Paths, just as query_planner() does, and the parent query level can use each of those Paths as the basis of a SubqueryScanPath at its level. This allows finding some optimizations that we missed before, wherein a subquery was capable of returning presorted data and thereby avoiding a sort in the parent level, making the overall cost cheaper even though delivering sorted output was not the cheapest plan for the subquery in isolation. (A couple of regression test outputs change in consequence of that. However, there is very little change in visible planner behavior overall, because the point of this patch is not to get immediate planning benefits but to create the infrastructure for future improvements.) There is a great deal left to do here. This patch unblocks a lot of planner work that was basically impractical in the old code structure, such as allowing FDWs to implement remote aggregation, or rewriting plan_set_operations() to allow consideration of multiple implementation orders for set operations. (The latter will likely require a full rewrite of plan_set_operations(); what I've done here is only to fix it to return Paths not Plans.) I have also left unfinished some localized refactoring in createplan.c and planner.c, because it was not necessary to get this patch to a working state. Thanks to Robert Haas, David Rowley, and Amit Kapila for review.
2016-03-07 21:58:22 +01:00
List *subquery_pathkeys,
List *subquery_tlist);
extern List *build_join_pathkeys(PlannerInfo *root,
RelOptInfo *joinrel,
JoinType jointype,
List *outer_pathkeys);
extern List *make_pathkeys_for_sortclauses(PlannerInfo *root,
List *sortclauses,
Postpone creation of pathkeys lists to fix bug #8049. This patch gets rid of the concept of, and infrastructure for, non-canonical PathKeys; we now only ever create canonical pathkey lists. The need for non-canonical pathkeys came from the desire to have grouping_planner initialize query_pathkeys and related pathkey lists before calling query_planner. However, since query_planner didn't actually *do* anything with those lists before they'd been made canonical, we can get rid of the whole mess by just not creating the lists at all until the point where we formerly canonicalized them. There are several ways in which we could implement that without making query_planner itself deal with grouping/sorting features (which are supposed to be the province of grouping_planner). I chose to add a callback function to query_planner's API; other alternatives would have required adding more fields to PlannerInfo, which while not bad in itself would create an ABI break for planner-related plugins in the 9.2 release series. This still breaks ABI for anything that calls query_planner directly, but it seems somewhat unlikely that there are any such plugins. I had originally conceived of this change as merely a step on the way to fixing bug #8049 from Teun Hoogendoorn; but it turns out that this fixes that bug all by itself, as per the added regression test. The reason is that now get_eclass_for_sort_expr is adding the ORDER BY expression at the end of EquivalenceClass creation not the start, and so anything that is in a multi-member EquivalenceClass has already been created with correct em_nullable_relids. I am suspicious that there are related scenarios in which we still need to teach get_eclass_for_sort_expr to compute correct nullable_relids, but am not eager to risk destabilizing either 9.2 or 9.3 to fix bugs that are only hypothetical. So for the moment, do this and stop here. Back-patch to 9.2 but not to earlier branches, since they don't exhibit this bug for lack of join-clause-movement logic that depends on em_nullable_relids being correct. (We might have to revisit that choice if any related bugs turn up.) In 9.2, don't change the signature of make_pathkeys_for_sortclauses nor remove canonicalize_pathkeys, so as not to risk more plugin breakage than we have to.
2013-04-29 20:49:01 +02:00
List *tlist);
extern void initialize_mergeclause_eclasses(PlannerInfo *root,
RestrictInfo *restrictinfo);
extern void update_mergeclause_eclasses(PlannerInfo *root,
RestrictInfo *restrictinfo);
Fix planner failures with overlapping mergejoin clauses in an outer join. Given overlapping or partially redundant join clauses, for example t1 JOIN t2 ON t1.a = t2.x AND t1.b = t2.x the planner's EquivalenceClass machinery will ordinarily refactor the clauses as "t1.a = t1.b AND t1.a = t2.x", so that join processing doesn't see multiple references to the same EquivalenceClass in a list of join equality clauses. However, if the join is outer, it's incorrect to derive a restriction clause on the outer side from the join conditions, so the clause refactoring does not happen and we end up with overlapping join conditions. The code that attempted to deal with such cases had several subtle bugs, which could result in "left and right pathkeys do not match in mergejoin" or "outer pathkeys do not match mergeclauses" planner errors, if the selected join plan type was a mergejoin. (It does not appear that any actually incorrect plan could have been emitted.) The core of the problem really was failure to recognize that the outer and inner relations' pathkeys have different relationships to the mergeclause list. A join's mergeclause list is constructed by reference to the outer pathkeys, so it will always be ordered the same as the outer pathkeys, but this cannot be presumed true for the inner pathkeys. If the inner sides of the mergeclauses contain multiple references to the same EquivalenceClass ({t2.x} in the above example) then a simplistic rendering of the required inner sort order is like "ORDER BY t2.x, t2.x", but the pathkey machinery recognizes that the second sort column is redundant and throws it away. The mergejoin planning code failed to account for that behavior properly. One error was to try to generate cut-down versions of the mergeclause list from cut-down versions of the inner pathkeys in the same way as the initial construction of the mergeclause list from the outer pathkeys was done; this could lead to choosing a mergeclause list that fails to match the outer pathkeys. The other problem was that the pathkey cross-checking code in create_mergejoin_plan treated the inner and outer pathkey lists identically, whereas actually the expectations for them must be different. That led to false "pathkeys do not match" failures in some cases, and in principle could have led to failure to detect bogus plans in other cases, though there is no indication that such bogus plans could be generated. Reported by Alexander Kuzmenkov, who also reviewed this patch. This has been broken for years (back to around 8.3 according to my testing), so back-patch to all supported branches. Discussion: https://postgr.es/m/5dad9160-4632-0e47-e120-8e2082000c01@postgrespro.ru
2018-02-23 19:47:33 +01:00
extern List *find_mergeclauses_for_outer_pathkeys(PlannerInfo *root,
List *pathkeys,
List *restrictinfos);
extern List *select_outer_pathkeys_for_merge(PlannerInfo *root,
List *mergeclauses,
RelOptInfo *joinrel);
extern List *make_inner_pathkeys_for_merge(PlannerInfo *root,
List *mergeclauses,
List *outer_pathkeys);
Fix planner failures with overlapping mergejoin clauses in an outer join. Given overlapping or partially redundant join clauses, for example t1 JOIN t2 ON t1.a = t2.x AND t1.b = t2.x the planner's EquivalenceClass machinery will ordinarily refactor the clauses as "t1.a = t1.b AND t1.a = t2.x", so that join processing doesn't see multiple references to the same EquivalenceClass in a list of join equality clauses. However, if the join is outer, it's incorrect to derive a restriction clause on the outer side from the join conditions, so the clause refactoring does not happen and we end up with overlapping join conditions. The code that attempted to deal with such cases had several subtle bugs, which could result in "left and right pathkeys do not match in mergejoin" or "outer pathkeys do not match mergeclauses" planner errors, if the selected join plan type was a mergejoin. (It does not appear that any actually incorrect plan could have been emitted.) The core of the problem really was failure to recognize that the outer and inner relations' pathkeys have different relationships to the mergeclause list. A join's mergeclause list is constructed by reference to the outer pathkeys, so it will always be ordered the same as the outer pathkeys, but this cannot be presumed true for the inner pathkeys. If the inner sides of the mergeclauses contain multiple references to the same EquivalenceClass ({t2.x} in the above example) then a simplistic rendering of the required inner sort order is like "ORDER BY t2.x, t2.x", but the pathkey machinery recognizes that the second sort column is redundant and throws it away. The mergejoin planning code failed to account for that behavior properly. One error was to try to generate cut-down versions of the mergeclause list from cut-down versions of the inner pathkeys in the same way as the initial construction of the mergeclause list from the outer pathkeys was done; this could lead to choosing a mergeclause list that fails to match the outer pathkeys. The other problem was that the pathkey cross-checking code in create_mergejoin_plan treated the inner and outer pathkey lists identically, whereas actually the expectations for them must be different. That led to false "pathkeys do not match" failures in some cases, and in principle could have led to failure to detect bogus plans in other cases, though there is no indication that such bogus plans could be generated. Reported by Alexander Kuzmenkov, who also reviewed this patch. This has been broken for years (back to around 8.3 according to my testing), so back-patch to all supported branches. Discussion: https://postgr.es/m/5dad9160-4632-0e47-e120-8e2082000c01@postgrespro.ru
2018-02-23 19:47:33 +01:00
extern List *trim_mergeclauses_for_inner_pathkeys(PlannerInfo *root,
List *mergeclauses,
List *pathkeys);
extern List *truncate_useless_pathkeys(PlannerInfo *root,
RelOptInfo *rel,
List *pathkeys);
extern bool has_useful_pathkeys(PlannerInfo *root, RelOptInfo *rel);
Improve performance of ORDER BY / DISTINCT aggregates ORDER BY / DISTINCT aggreagtes have, since implemented in Postgres, been executed by always performing a sort in nodeAgg.c to sort the tuples in the current group into the correct order before calling the transition function on the sorted tuples. This was not great as often there might be an index that could have provided pre-sorted input and allowed the transition functions to be called as the rows come in, rather than having to store them in a tuplestore in order to sort them once all the tuples for the group have arrived. Here we change the planner so it requests a path with a sort order which supports the most amount of ORDER BY / DISTINCT aggregate functions and add new code to the executor to allow it to support the processing of ORDER BY / DISTINCT aggregates where the tuples are already sorted in the correct order. Since there can be many ORDER BY / DISTINCT aggregates in any given query level, it's very possible that we can't find an order that suits all of these aggregates. The sort order that the planner chooses is simply the one that suits the most aggregate functions. We take the most strictly sorted variation of each order and see how many aggregate functions can use that, then we try again with the order of the remaining aggregates to see if another order would suit more aggregate functions. For example: SELECT agg(a ORDER BY a),agg2(a ORDER BY a,b) ... would request the sort order to be {a, b} because {a} is a subset of the sort order of {a,b}, but; SELECT agg(a ORDER BY a),agg2(a ORDER BY c) ... would just pick a plan ordered by {a} (we give precedence to aggregates which are earlier in the targetlist). SELECT agg(a ORDER BY a),agg2(a ORDER BY b),agg3(a ORDER BY b) ... would choose to order by {b} since two aggregates suit that vs just one that requires input ordered by {a}. Author: David Rowley Reviewed-by: Ronan Dunklau, James Coleman, Ranier Vilela, Richard Guo, Tom Lane Discussion: https://postgr.es/m/CAApHDvpHzfo92%3DR4W0%2BxVua3BUYCKMckWAmo-2t_KiXN-wYH%3Dw%40mail.gmail.com
2022-08-02 13:11:45 +02:00
extern List *append_pathkeys(List *target, List *source);
extern PathKey *make_canonical_pathkey(PlannerInfo *root,
EquivalenceClass *eclass, Oid opfamily,
int strategy, bool nulls_first);
extern void add_paths_to_append_rel(PlannerInfo *root, RelOptInfo *rel,
List *live_childrels);
#endif /* PATHS_H */