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postgresql/src/include/optimizer/tlist.h

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Postgres95 1.01 Distribution - Virgin Sources
1996-07-09 08:22:35 +02:00
/*-------------------------------------------------------------------------
*
Change my-function-name-- to my_function_name, and optimizer renames.
1999-02-14 00:22:53 +01:00
* tlist.h
Massive commit to run PGINDENT on all *.c and *.h files.
1997-09-07 07:04:48 +02:00
* prototypes for tlist.c.
Postgres95 1.01 Distribution - Virgin Sources
1996-07-09 08:22:35 +02:00
*
*
Update copyright via script for 2017
2017-01-03 19:48:53 +01:00
* Portions Copyright (c) 1996-2017, PostgreSQL Global Development Group
Add: * Portions Copyright (c) 1996-2000, PostgreSQL, Inc to all files copyright Regents of Berkeley. Man, that's a lot of files.
2000-01-26 06:58:53 +01:00
* Portions Copyright (c) 1994, Regents of the University of California
Postgres95 1.01 Distribution - Virgin Sources
1996-07-09 08:22:35 +02:00
*
Remove cvs keywords from all files.
2010-09-20 22:08:53 +02:00
* src/include/optimizer/tlist.h
Postgres95 1.01 Distribution - Virgin Sources
1996-07-09 08:22:35 +02:00
*
*-------------------------------------------------------------------------
*/
#ifndef TLIST_H
#define TLIST_H
Refactor pull_var_clause's API to make it less tedious to extend. In commit 1d97c19a0f748e94 and later c1d9579dd8bf3c92, we extended pull_var_clause's API by adding enum-type arguments. That's sort of a pain to maintain, though, because it means every time we add a new behavior we must touch every last one of the call sites, even if there's a reasonable default behavior that most of them could use. Let's switch over to using a bitmask of flags, instead; that seems more maintainable and might save a nanosecond or two as well. This commit changes no behavior in itself, though I'm going to follow it up with one that does add a new behavior. In passing, remove flatten_tlist(), which has not been used since 9.1 and would otherwise need the same API changes. Removing these enums means that optimizer/tlist.h no longer needs to depend on optimizer/var.h. Changing that caused a number of C files to need addition of #include "optimizer/var.h" (probably we can thank old runs of pgrminclude for that); but on balance it seems like a good change anyway.
2016-03-10 21:52:58 +01:00
#include "nodes/relation.h"
Cleanup up include files.
1997-11-26 02:14:33 +01:00
Restructure building of join relation targetlists so that a join plan node emits only those vars that are actually needed above it in the plan tree. (There were comments in the code suggesting that this was done at some point in the dim past, but for a long time we have just made join nodes emit everything that either input emitted.) Aside from being marginally more efficient, this fixes the problem noted by Peter Eisentraut where a join above an IN-implemented-as-join might fail, because the subplan targetlist constructed in the latter case didn't meet the expectation of including everything. Along the way, fix some places that were O(N^2) in the targetlist length. This is not all the trouble spots for wide queries by any means, but it's a step forward.
2003-06-30 01:05:05 +02:00
Merge Resdom nodes into TargetEntry nodes to simplify code and save a few palloc's. I also chose to eliminate the restype and restypmod fields entirely, since they are redundant with information stored in the node's contained expression; re-examining the expression at need seems simpler and more reliable than trying to keep restype/restypmod up to date. initdb forced due to change in contents of stored rules.
2005-04-06 18:34:07 +02:00
extern TargetEntry *tlist_member(Node *node, List *targetlist);
Last week's patch for make_sort_from_pathkeys wasn't good enough: it has to be able to discard top-level RelabelType nodes on *both* sides of the equivalence-class-to-target-list comparison, since make_pathkey_from_sortinfo might either add or remove a RelabelType. Also fix the latter to do the removal case cleanly. Per example from Peter.
2007-11-08 20:25:37 +01:00
extern TargetEntry *tlist_member_ignore_relabel(Node *node, List *targetlist);
Postgres95 1.01 Distribution - Virgin Sources
1996-07-09 08:22:35 +02:00
Support window functions a la SQL:2008. Hitoshi Harada, with some kibitzing from Heikki and Tom.
2008-12-28 19:54:01 +01:00
extern List *add_to_flat_tlist(List *tlist, List *exprs);
Massive commit to run PGINDENT on all *.c and *.h files.
1997-09-07 07:04:48 +02:00
Improve INTERSECT/EXCEPT hashing by realizing that we don't need to make any hashtable entries for tuples that are found only in the second input: they can never contribute to the output. Furthermore, this implies that the planner should endeavor to put first the smaller (in number of groups) input relation for an INTERSECT. Implement that, and upgrade prepunion's estimation of the number of rows returned by setops so that there's some amount of sanity in the estimate of which one is smaller.
2008-08-07 21:35:02 +02:00
extern List *get_tlist_exprs(List *tlist, bool includeJunk);
Avoid inserting Result nodes that only compute identity projections. The planner sometimes inserts Result nodes to perform column projections (ie, arbitrary scalar calculations) above plan nodes that lack projection logic of their own. However, we did that even if the lower plan node was in fact producing the required column set already; which is a pretty common case given the popularity of "SELECT * FROM ...". Measurements show that the useless plan node adds non-negligible overhead, especially when there are many columns in the result. So add a check to avoid inserting a Result node unless there's something useful for it to do. There are a couple of remaining places where unnecessary Result nodes could get inserted, but they are (a) much less performance-critical, and (b) coded in such a way that it's hard to avoid inserting a Result, because the desired tlist is changed on-the-fly in subsequent logic. We'll leave those alone for now. Kyotaro Horiguchi; reviewed and further hacked on by Amit Kapila and Tom Lane.
2013-03-14 18:42:51 +01:00
Implement UPDATE tab SET (col1,col2,...) = (SELECT ...), ... This SQL-standard feature allows a sub-SELECT yielding multiple columns (but only one row) to be used to compute the new values of several columns to be updated. While the same results can be had with an independent sub-SELECT per column, such a workaround can require a great deal of duplicated computation. The standard actually says that the source for a multi-column assignment could be any row-valued expression. The implementation used here is tightly tied to our existing sub-SELECT support and can't handle other cases; the Bison grammar would have some issues with them too. However, I don't feel too bad about this since other cases can be converted into sub-SELECTs. For instance, "SET (a,b,c) = row_valued_function(x)" could be written "SET (a,b,c) = (SELECT * FROM row_valued_function(x))".
2014-06-18 19:22:25 +02:00
extern int count_nonjunk_tlist_entries(List *tlist);
Avoid inserting Result nodes that only compute identity projections. The planner sometimes inserts Result nodes to perform column projections (ie, arbitrary scalar calculations) above plan nodes that lack projection logic of their own. However, we did that even if the lower plan node was in fact producing the required column set already; which is a pretty common case given the popularity of "SELECT * FROM ...". Measurements show that the useless plan node adds non-negligible overhead, especially when there are many columns in the result. So add a check to avoid inserting a Result node unless there's something useful for it to do. There are a couple of remaining places where unnecessary Result nodes could get inserted, but they are (a) much less performance-critical, and (b) coded in such a way that it's hard to avoid inserting a Result, because the desired tlist is changed on-the-fly in subsequent logic. We'll leave those alone for now. Kyotaro Horiguchi; reviewed and further hacked on by Amit Kapila and Tom Lane.
2013-03-14 18:42:51 +01:00
extern bool tlist_same_exprs(List *tlist1, List *tlist2);
Improve INTERSECT/EXCEPT hashing by realizing that we don't need to make any hashtable entries for tuples that are found only in the second input: they can never contribute to the output. Furthermore, this implies that the planner should endeavor to put first the smaller (in number of groups) input relation for an INTERSECT. Implement that, and upgrade prepunion's estimation of the number of rows returned by setops so that there's some amount of sanity in the estimate of which one is smaller.
2008-08-07 21:35:02 +02:00
extern bool tlist_same_datatypes(List *tlist, List *colTypes, bool junkOK);
Clean up collation processing in prepunion.c. This area was a few bricks shy of a load, and badly under-commented too. We have to ensure that the generated targetlist entries for a set-operation node expose the correct collation for each entry, since higher-level processing expects the tlist to reflect the true ordering of the plan's output. This hackery wouldn't be necessary if SortGroupClause carried collation info ... but making it do so would inject more pain in the parser than would be saved here. Still, we might want to rethink that sometime.
2011-04-16 22:39:50 +02:00
extern bool tlist_same_collations(List *tlist, List *colCollations, bool junkOK);
Improve INTERSECT/EXCEPT hashing by realizing that we don't need to make any hashtable entries for tuples that are found only in the second input: they can never contribute to the output. Furthermore, this implies that the planner should endeavor to put first the smaller (in number of groups) input relation for an INTERSECT. Implement that, and upgrade prepunion's estimation of the number of rows returned by setops so that there's some amount of sanity in the estimate of which one is smaller.
2008-08-07 21:35:02 +02:00
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
extern void apply_tlist_labeling(List *dest_tlist, List *src_tlist);
Fix EquivalenceClass code to handle volatile sort expressions in a more predictable manner; in particular that if you say ORDER BY output-column-ref, it will in fact sort by that specific column even if there are multiple syntactic matches. An example is SELECT random() AS a, random() AS b FROM ... ORDER BY b, a; While the use-case for this might be a bit debatable, it worked as expected in earlier releases, so we should preserve the behavior for 8.3. Per my recent proposal. While at it, fix convert_subquery_pathkeys() to handle RelabelType stripping in both directions; it needs this for the same reasons make_sort_from_pathkeys does.
2007-11-08 22:49:48 +01:00
extern TargetEntry *get_sortgroupref_tle(Index sortref,
pgindent run for 8.3.
2007-11-15 22:14:46 +01:00
List *targetList);
Rearrange the querytree representation of ORDER BY/GROUP BY/DISTINCT items as per my recent proposal: 1. Fold SortClause and GroupClause into a single node type SortGroupClause. We were already relying on them to be struct-equivalent, so using two node tags wasn't accomplishing much except to get in the way of comparing items with equal(). 2. Add an "eqop" field to SortGroupClause to carry the associated equality operator. This is cheap for the parser to get at the same time it's looking up the sort operator, and storing it eliminates the need for repeated not-so-cheap lookups during planning. In future this will also let us represent GROUP/DISTINCT operations on datatypes that have hash opclasses but no btree opclasses (ie, they have equality but no natural sort order). The previous representation simply didn't work for that, since its only indicator of comparison semantics was a sort operator. 3. Add a hasDistinctOn boolean to struct Query to explicitly record whether the distinctClause came from DISTINCT or DISTINCT ON. This allows removing some complicated and not 100% bulletproof code that attempted to figure that out from the distinctClause alone. This patch doesn't in itself create any new capability, but it's necessary infrastructure for future attempts to use hash-based grouping for DISTINCT and UNION/INTERSECT/EXCEPT.
2008-08-02 23:32:01 +02:00
extern TargetEntry *get_sortgroupclause_tle(SortGroupClause *sgClause,
Ye-old pgindent run. Same 4-space tabs.
2000-04-12 19:17:23 +02:00
List *targetList);
Rearrange the querytree representation of ORDER BY/GROUP BY/DISTINCT items as per my recent proposal: 1. Fold SortClause and GroupClause into a single node type SortGroupClause. We were already relying on them to be struct-equivalent, so using two node tags wasn't accomplishing much except to get in the way of comparing items with equal(). 2. Add an "eqop" field to SortGroupClause to carry the associated equality operator. This is cheap for the parser to get at the same time it's looking up the sort operator, and storing it eliminates the need for repeated not-so-cheap lookups during planning. In future this will also let us represent GROUP/DISTINCT operations on datatypes that have hash opclasses but no btree opclasses (ie, they have equality but no natural sort order). The previous representation simply didn't work for that, since its only indicator of comparison semantics was a sort operator. 3. Add a hasDistinctOn boolean to struct Query to explicitly record whether the distinctClause came from DISTINCT or DISTINCT ON. This allows removing some complicated and not 100% bulletproof code that attempted to figure that out from the distinctClause alone. This patch doesn't in itself create any new capability, but it's necessary infrastructure for future attempts to use hash-based grouping for DISTINCT and UNION/INTERSECT/EXCEPT.
2008-08-02 23:32:01 +02:00
extern Node *get_sortgroupclause_expr(SortGroupClause *sgClause,
Ye-old pgindent run. Same 4-space tabs.
2000-04-12 19:17:23 +02:00
List *targetList);
Rearrange the querytree representation of ORDER BY/GROUP BY/DISTINCT items as per my recent proposal: 1. Fold SortClause and GroupClause into a single node type SortGroupClause. We were already relying on them to be struct-equivalent, so using two node tags wasn't accomplishing much except to get in the way of comparing items with equal(). 2. Add an "eqop" field to SortGroupClause to carry the associated equality operator. This is cheap for the parser to get at the same time it's looking up the sort operator, and storing it eliminates the need for repeated not-so-cheap lookups during planning. In future this will also let us represent GROUP/DISTINCT operations on datatypes that have hash opclasses but no btree opclasses (ie, they have equality but no natural sort order). The previous representation simply didn't work for that, since its only indicator of comparison semantics was a sort operator. 3. Add a hasDistinctOn boolean to struct Query to explicitly record whether the distinctClause came from DISTINCT or DISTINCT ON. This allows removing some complicated and not 100% bulletproof code that attempted to figure that out from the distinctClause alone. This patch doesn't in itself create any new capability, but it's necessary infrastructure for future attempts to use hash-based grouping for DISTINCT and UNION/INTERSECT/EXCEPT.
2008-08-02 23:32:01 +02:00
extern List *get_sortgrouplist_exprs(List *sgClauses,
pgindent run.
2003-08-04 02:43:34 +02:00
List *targetList);
Another pgindent run. Fixes enum indenting, and improves #endif spacing. Also adds space for one-line comments.
2001-10-28 07:26:15 +01:00
Support GROUPING SETS, CUBE and ROLLUP. This SQL standard functionality allows to aggregate data by different GROUP BY clauses at once. Each grouping set returns rows with columns grouped by in other sets set to NULL. This could previously be achieved by doing each grouping as a separate query, conjoined by UNION ALLs. Besides being considerably more concise, grouping sets will in many cases be faster, requiring only one scan over the underlying data. The current implementation of grouping sets only supports using sorting for input. Individual sets that share a sort order are computed in one pass. If there are sets that don't share a sort order, additional sort & aggregation steps are performed. These additional passes are sourced by the previous sort step; thus avoiding repeated scans of the source data. The code is structured in a way that adding support for purely using hash aggregation or a mix of hashing and sorting is possible. Sorting was chosen to be supported first, as it is the most generic method of implementation. Instead of, as in an earlier versions of the patch, representing the chain of sort and aggregation steps as full blown planner and executor nodes, all but the first sort are performed inside the aggregation node itself. This avoids the need to do some unusual gymnastics to handle having to return aggregated and non-aggregated tuples from underlying nodes, as well as having to shut down underlying nodes early to limit memory usage. The optimizer still builds Sort/Agg node to describe each phase, but they're not part of the plan tree, but instead additional data for the aggregation node. They're a convenient and preexisting way to describe aggregation and sorting. The first (and possibly only) sort step is still performed as a separate execution step. That retains similarity with existing group by plans, makes rescans fairly simple, avoids very deep plans (leading to slow explains) and easily allows to avoid the sorting step if the underlying data is sorted by other means. A somewhat ugly side of this patch is having to deal with a grammar ambiguity between the new CUBE keyword and the cube extension/functions named cube (and rollup). To avoid breaking existing deployments of the cube extension it has not been renamed, neither has cube been made a reserved keyword. Instead precedence hacking is used to make GROUP BY cube(..) refer to the CUBE grouping sets feature, and not the function cube(). To actually group by a function cube(), unlikely as that might be, the function name has to be quoted. Needs a catversion bump because stored rules may change. Author: Andrew Gierth and Atri Sharma, with contributions from Andres Freund Reviewed-By: Andres Freund, Noah Misch, Tom Lane, Svenne Krap, Tomas Vondra, Erik Rijkers, Marti Raudsepp, Pavel Stehule Discussion: CAOeZVidmVRe2jU6aMk_5qkxnB7dfmPROzM7Ur8JPW5j8Y5X-Lw@mail.gmail.com
2015-05-16 03:40:59 +02:00
extern SortGroupClause *get_sortgroupref_clause(Index sortref,
pgindent run for 9.5
2015-05-24 03:35:49 +02:00
List *clauses);
Improve handling of group-column indexes in GroupingSetsPath. Instead of having planner.c compute a groupColIdx array and store it in GroupingSetsPaths, make create_groupingsets_plan() find the grouping columns by searching in the child plan node's tlist. Although that's probably a bit slower for create_groupingsets_plan(), it's more like the way every other plan node type does this, and it provides positive confirmation that we know which child output columns we're supposed to be grouping on. (Indeed, looking at this now, I'm not at all sure that it wasn't broken before, because create_groupingsets_plan() isn't demanding an exact tlist match from its child node.) Also, this allows substantial simplification in planner.c, because it no longer needs to compute the groupColIdx array at all; no other cases were using it. I'd intended to put off this refactoring until later (like 9.7), but in view of the likely bug fix and the need to rationalize planner.c's tlist handling so we can do something sane with Konstantin Knizhnik's function-evaluation-postponement patch, I think it can't wait.
2016-03-09 04:32:03 +01:00
extern SortGroupClause *get_sortgroupref_clause_noerr(Index sortref,
List *clauses);
Support GROUPING SETS, CUBE and ROLLUP. This SQL standard functionality allows to aggregate data by different GROUP BY clauses at once. Each grouping set returns rows with columns grouped by in other sets set to NULL. This could previously be achieved by doing each grouping as a separate query, conjoined by UNION ALLs. Besides being considerably more concise, grouping sets will in many cases be faster, requiring only one scan over the underlying data. The current implementation of grouping sets only supports using sorting for input. Individual sets that share a sort order are computed in one pass. If there are sets that don't share a sort order, additional sort & aggregation steps are performed. These additional passes are sourced by the previous sort step; thus avoiding repeated scans of the source data. The code is structured in a way that adding support for purely using hash aggregation or a mix of hashing and sorting is possible. Sorting was chosen to be supported first, as it is the most generic method of implementation. Instead of, as in an earlier versions of the patch, representing the chain of sort and aggregation steps as full blown planner and executor nodes, all but the first sort are performed inside the aggregation node itself. This avoids the need to do some unusual gymnastics to handle having to return aggregated and non-aggregated tuples from underlying nodes, as well as having to shut down underlying nodes early to limit memory usage. The optimizer still builds Sort/Agg node to describe each phase, but they're not part of the plan tree, but instead additional data for the aggregation node. They're a convenient and preexisting way to describe aggregation and sorting. The first (and possibly only) sort step is still performed as a separate execution step. That retains similarity with existing group by plans, makes rescans fairly simple, avoids very deep plans (leading to slow explains) and easily allows to avoid the sorting step if the underlying data is sorted by other means. A somewhat ugly side of this patch is having to deal with a grammar ambiguity between the new CUBE keyword and the cube extension/functions named cube (and rollup). To avoid breaking existing deployments of the cube extension it has not been renamed, neither has cube been made a reserved keyword. Instead precedence hacking is used to make GROUP BY cube(..) refer to the CUBE grouping sets feature, and not the function cube(). To actually group by a function cube(), unlikely as that might be, the function name has to be quoted. Needs a catversion bump because stored rules may change. Author: Andrew Gierth and Atri Sharma, with contributions from Andres Freund Reviewed-By: Andres Freund, Noah Misch, Tom Lane, Svenne Krap, Tomas Vondra, Erik Rijkers, Marti Raudsepp, Pavel Stehule Discussion: CAOeZVidmVRe2jU6aMk_5qkxnB7dfmPROzM7Ur8JPW5j8Y5X-Lw@mail.gmail.com
2015-05-16 03:40:59 +02:00
Teach the system how to use hashing for UNION. (INTERSECT/EXCEPT will follow, but seem like a separate patch since most of the remaining work is on the executor side.) I took the opportunity to push selection of the grouping operators for set operations into the parser where it belongs. Otherwise this is just a small exercise in making prepunion.c consider both alternatives. As with the recent DISTINCT patch, this means we can UNION on datatypes that can hash but not sort, and it means that UNION without ORDER BY is no longer certain to produce sorted output.
2008-08-07 03:11:52 +02:00
extern Oid *extract_grouping_ops(List *groupClause);
extern AttrNumber *extract_grouping_cols(List *groupClause, List *tlist);
extern bool grouping_is_sortable(List *groupClause);
extern bool grouping_is_hashable(List *groupClause);
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
extern PathTarget *make_pathtarget_from_tlist(List *tlist);
extern List *make_tlist_from_pathtarget(PathTarget *target);
Improve handling of pathtargets in planner.c. Refactor so that the internal APIs in planner.c deal in PathTargets not targetlists, and establish a more regular structure for deriving the targets needed for successive steps. There is more that could be done here; calculating the eval costs of each successive target independently is both inefficient and wrong in detail, since we won't actually recompute values available from the input node's tlist. But it's no worse than what happened before the pathification rewrite. In any case this seems like a good starting point for considering how to handle Konstantin Knizhnik's function-evaluation-postponement patch.
2016-03-09 07:12:16 +01:00
extern PathTarget *copy_pathtarget(PathTarget *src);
Minor additional refactoring of planner.c's PathTarget handling. Teach make_group_input_target() and make_window_input_target() to work entirely with the PathTarget representation of tlists, rather than constructing a tlist and immediately deconstructing it into PathTarget format. In itself this only saves a few palloc's; the bigger picture is that it opens the door for sharing cost_qual_eval work across all of planner.c's constructions of PathTargets. I'll come back to that later. In support of this, flesh out tlist.c's infrastructure for PathTargets a bit more.
2016-03-11 16:24:33 +01:00
extern PathTarget *create_empty_pathtarget(void);
Improve handling of pathtargets in planner.c. Refactor so that the internal APIs in planner.c deal in PathTargets not targetlists, and establish a more regular structure for deriving the targets needed for successive steps. There is more that could be done here; calculating the eval costs of each successive target independently is both inefficient and wrong in detail, since we won't actually recompute values available from the input node's tlist. But it's no worse than what happened before the pathification rewrite. In any case this seems like a good starting point for considering how to handle Konstantin Knizhnik's function-evaluation-postponement patch.
2016-03-09 07:12:16 +01:00
extern void add_column_to_pathtarget(PathTarget *target,
Expr *expr, Index sortgroupref);
Minor additional refactoring of planner.c's PathTarget handling. Teach make_group_input_target() and make_window_input_target() to work entirely with the PathTarget representation of tlists, rather than constructing a tlist and immediately deconstructing it into PathTarget format. In itself this only saves a few palloc's; the bigger picture is that it opens the door for sharing cost_qual_eval work across all of planner.c's constructions of PathTargets. I'll come back to that later. In support of this, flesh out tlist.c's infrastructure for PathTargets a bit more.
2016-03-11 16:24:33 +01:00
extern void add_new_column_to_pathtarget(PathTarget *target, Expr *expr);
extern void add_new_columns_to_pathtarget(PathTarget *target, List *exprs);
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
extern void apply_pathtarget_labeling_to_tlist(List *tlist, PathTarget *target);
Move targetlist SRF handling from expression evaluation to new executor node. Evaluation of set returning functions (SRFs_ in the targetlist (like SELECT generate_series(1,5)) so far was done in the expression evaluation (i.e. ExecEvalExpr()) and projection (i.e. ExecProject/ExecTargetList) code. This meant that most executor nodes performing projection, and most expression evaluation functions, had to deal with the possibility that an evaluated expression could return a set of return values. That's bad because it leads to repeated code in a lot of places. It also, and that's my (Andres's) motivation, made it a lot harder to implement a more efficient way of doing expression evaluation. To fix this, introduce a new executor node (ProjectSet) that can evaluate targetlists containing one or more SRFs. To avoid the complexity of the old way of handling nested expressions returning sets (e.g. having to pass up ExprDoneCond, and dealing with arguments to functions returning sets etc.), those SRFs can only be at the top level of the node's targetlist. The planner makes sure (via split_pathtarget_at_srfs()) that SRF evaluation is only necessary in ProjectSet nodes and that SRFs are only present at the top level of the node's targetlist. If there are nested SRFs the planner creates multiple stacked ProjectSet nodes. The ProjectSet nodes always get input from an underlying node. We also discussed and prototyped evaluating targetlist SRFs using ROWS FROM(), but that turned out to be more complicated than we'd hoped. While moving SRF evaluation to ProjectSet would allow to retain the old "least common multiple" behavior when multiple SRFs are present in one targetlist (i.e. continue returning rows until all SRFs are at the end of their input at the same time), we decided to instead only return rows till all SRFs are exhausted, returning NULL for already exhausted ones. We deemed the previous behavior to be too confusing, unexpected and actually not particularly useful. As a side effect, the previously prohibited case of multiple set returning arguments to a function, is now allowed. Not because it's particularly desirable, but because it ends up working and there seems to be no argument for adding code to prohibit it. Currently the behavior for COALESCE and CASE containing SRFs has changed, returning multiple rows from the expression, even when the SRF containing "arm" of the expression is not evaluated. That's because the SRFs are evaluated in a separate ProjectSet node. As that's quite confusing, we're likely to instead prohibit SRFs in those places. But that's still being discussed, and the code would reside in places not touched here, so that's a task for later. There's a lot of, now superfluous, code dealing with set return expressions around. But as the changes to get rid of those are verbose largely boring, it seems better for readability to keep the cleanup as a separate commit. Author: Tom Lane and Andres Freund Discussion: https://postgr.es/m/20160822214023.aaxz5l4igypowyri@alap3.anarazel.de
2017-01-18 21:46:50 +01:00
extern void split_pathtarget_at_srfs(PlannerInfo *root,
PathTarget *target, PathTarget *input_target,
List **targets, List **targets_contain_srfs);
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
/* 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))
New pgindent run with fixes suggested by Tom. Patch manually reviewed, initdb/regression tests pass.
2001-11-05 18:46:40 +01:00
#endif /* TLIST_H */