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release-6-3
${ noResults }
440 Commits (c1777f2d6d43adf9bc65da3e44a3a5ad2cbfa86d)
| Author | SHA1 | Message | Date |
|---|---|---|---|
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c1777f2d6d |
Fix assertion failure in generate_orderedappend_paths()
In generate_orderedappend_paths(), there is an assumption that a child relation's row estimate is always greater than zero. There is an Assert verifying this assumption, and the estimate is also used to convert an absolute tuple count into a fraction. However, this assumption is not always valid -- for example, upper relations can have their row estimates unset, resulting in a value of zero. This can cause an assertion failure in debug builds or lead to the tuple fraction being computed as infinity in production builds. To fix, use the row estimate from the cheapest_total path to compute the tuple fraction. The row estimate in this path should already have been forced to a valid value. In passing, update the comment for generate_orderedappend_paths() to note that the function also considers the cheapest-fractional case when not all tuples need to be retrieved. That is, it collects all the cheapest fractional paths and builds an ordered append path for each interesting ordering. Backpatch to v18, where this issue was introduced. Bug: #19102 Reported-by: Kuntal Ghosh <kuntalghosh.2007@gmail.com> Author: Richard Guo <guofenglinux@gmail.com> Reviewed-by: Kuntal Ghosh <kuntalghosh.2007@gmail.com> Reviewed-by: Andrei Lepikhov <lepihov@gmail.com> Discussion: https://postgr.es/m/19102-93480667e1200169@postgresql.org Backpatch-through: 18 |
2 months ago |
|
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1206df04c2 |
Rename apply_at to apply_agg_at for clarity
The field name "apply_at" in RelAggInfo was a bit ambiguous. Rename it to "apply_agg_at" to improve clarity and make its purpose clearer. Per complaint from David Rowley, Robert Haas. Suggested-by: Tom Lane <tgl@sss.pgh.pa.us> Discussion: https://postgr.es/m/CA+TgmoZ0KR2_XCWHy17=HHcQ3p2Mamc9c6Dnnhf1J6wPYFD9ng@mail.gmail.com |
2 months ago |
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8e11859102 |
Implement Eager Aggregation
Eager aggregation is a query optimization technique that partially pushes aggregation past a join, and finalizes it once all the relations are joined. Eager aggregation may reduce the number of input rows to the join and thus could result in a better overall plan. In the current planner architecture, the separation between the scan/join planning phase and the post-scan/join phase means that aggregation steps are not visible when constructing the join tree, limiting the planner's ability to exploit aggregation-aware optimizations. To implement eager aggregation, we collect information about aggregate functions in the targetlist and HAVING clause, along with grouping expressions from the GROUP BY clause, and store it in the PlannerInfo node. During the scan/join planning phase, this information is used to evaluate each base or join relation to determine whether eager aggregation can be applied. If applicable, we create a separate RelOptInfo, referred to as a grouped relation, to represent the partially-aggregated version of the relation and generate grouped paths for it. Grouped relation paths can be generated in two ways. The first method involves adding sorted and hashed partial aggregation paths on top of the non-grouped paths. To limit planning time, we only consider the cheapest or suitably-sorted non-grouped paths in this step. Alternatively, grouped paths can be generated by joining a grouped relation with a non-grouped relation. Joining two grouped relations is currently not supported. To further limit planning time, we currently adopt a strategy where partial aggregation is pushed only to the lowest feasible level in the join tree where it provides a significant reduction in row count. This strategy also helps ensure that all grouped paths for the same grouped relation produce the same set of rows, which is important to support a fundamental assumption of the planner. For the partial aggregation that is pushed down to a non-aggregated relation, we need to consider all expressions from this relation that are involved in upper join clauses and include them in the grouping keys, using compatible operators. This is essential to ensure that an aggregated row from the partial aggregation matches the other side of the join if and only if each row in the partial group does. This ensures that all rows within the same partial group share the same "destiny", which is crucial for maintaining correctness. One restriction is that we cannot push partial aggregation down to a relation that is in the nullable side of an outer join, because the NULL-extended rows produced by the outer join would not be available when we perform the partial aggregation, while with a non-eager-aggregation plan these rows are available for the top-level aggregation. Pushing partial aggregation in this case may result in the rows being grouped differently than expected, or produce incorrect values from the aggregate functions. If we have generated a grouped relation for the topmost join relation, we finalize its paths at the end. The final paths will compete in the usual way with paths built from regular planning. The patch was originally proposed by Antonin Houska in 2017. This commit reworks various important aspects and rewrites most of the current code. However, the original patch and reviews were very useful. Author: Richard Guo <guofenglinux@gmail.com> Author: Antonin Houska <ah@cybertec.at> (in an older version) Reviewed-by: Robert Haas <robertmhaas@gmail.com> Reviewed-by: Jian He <jian.universality@gmail.com> Reviewed-by: Tender Wang <tndrwang@gmail.com> Reviewed-by: Matheus Alcantara <matheusssilv97@gmail.com> Reviewed-by: Tom Lane <tgl@sss.pgh.pa.us> Reviewed-by: David Rowley <dgrowleyml@gmail.com> Reviewed-by: Tomas Vondra <tomas@vondra.me> (in an older version) Reviewed-by: Andy Fan <zhihuifan1213@163.com> (in an older version) Reviewed-by: Ashutosh Bapat <ashutosh.bapat.oss@gmail.com> (in an older version) Discussion: https://postgr.es/m/CAMbWs48jzLrPt1J_00ZcPZXWUQKawQOFE8ROc-ADiYqsqrpBNw@mail.gmail.com |
2 months ago |
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8c49a484e8 |
Assign each subquery a unique name prior to planning it.
Previously, subqueries were given names only after they were planned, which makes it difficult to use information from a previous execution of the query to guide future planning. If, for example, you knew something about how you want "InitPlan 2" to be planned, you won't know whether the subquery you're currently planning will end up being "InitPlan 2" until after you've finished planning it, by which point it's too late to use the information that you had. To fix this, assign each subplan a unique name before we begin planning it. To improve consistency, use textual names for all subplans, rather than, as we did previously, a mix of numbers (such as "InitPlan 1") and names (such as "CTE foo"), and make sure that the same name is never assigned more than once. We adopt the somewhat arbitrary convention of using the type of sublink to set the plan name; for example, a query that previously had two expression sublinks shown as InitPlan 2 and InitPlan 1 will now end up named expr_1 and expr_2. Because names are assigned before rather than after planning, some of the regression test outputs show the numerical part of the name switching positions: what was previously SubPlan 2 was actually the first one encountered, but we finished planning it later. We assign names even to subqueries that aren't shown as such within the EXPLAIN output. These include subqueries that are a FROM clause item or a branch of a set operation, rather than something that will be turned into an InitPlan or SubPlan. The purpose of this is to make sure that, below the topmost query level, there's always a name for each subquery that is stable from one planning cycle to the next (assuming no changes to the query or the database schema). Author: Robert Haas <rhaas@postgresql.org> Co-authored-by: Tom Lane <tgl@sss.pgh.pa.us> Reviewed-by: Alexandra Wang <alexandra.wang.oss@gmail.com> Reviewed-by: Richard Guo <guofenglinux@gmail.com> Reviewed-by: Tom Lane <tgl@sss.pgh.pa.us> Reviewed-by: Junwang Zhao <zhjwpku@gmail.com> Discussion: http://postgr.es/m/3641043.1758751399@sss.pgh.pa.us |
3 months ago |
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b91067c899 |
Remove unused parameter from find_window_run_conditions()
... and check_and_push_window_quals().
Similar to
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3 months ago |
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4be9024d57 |
Remove unused parameter from check_and_push_window_quals
... and find_window_run_conditions.
This seems to have been around and unused ever since the Run Condition
feature was added in
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3 months ago |
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3d3a81fc24 |
Fix tuple_fraction calculation in generate_orderedappend_paths()
|
7 months ago |
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a8025f5448 |
Relax ordering-related hardcoded btree requirements in planning
There were several places in ordering-related planning where a requirement for btree was hardcoded but an amcanorder index could suffice. This fixes that. We just need to do the necessary mapping between strategy numbers and compare types and adjust some related APIs so that this works independent of btree strategy numbers. For instance, non-btree amcanorder indexes can now be used to support sorting and merge joins. Also, predtest.c works independent of btree strategy numbers now. To avoid performance regressions, some details on btree and other built-in index types are still hardcoded as shortcuts, but other index types now have access to the same features by providing the required flags and callbacks. Author: Mark Dilger <mark.dilger@enterprisedb.com> Co-authored-by: Peter Eisentraut <peter@eisentraut.org> Discussion: https://www.postgresql.org/message-id/flat/E72EAA49-354D-4C2E-8EB9-255197F55330@enterprisedb.com |
9 months ago |
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fae535da0a |
Teach Append to consider tuple_fraction when accumulating subpaths.
This change is dedicated to more active usage of IndexScan and parameterized NestLoop paths in partitioned cases under an Append node, as it already works with plain tables. As newly added regression tests demonstrate, it should provide more smartness to the partitionwise technique. With an indication of how many tuples are needed, it may be more meaningful to use the 'fractional branch' subpaths of the Append path list, which are more optimal for this specific number of tuples. Planning on a higher level, if the optimizer needs all the tuples, it will choose non-fractional paths. In the case when, during execution, Append needs to return fewer tuples than declared by tuple_fraction, it would not be harmful to use the 'intermediate' variant of paths. However, it will earn a considerable profit if a sensible set of tuples is selected. The change of the existing regression test demonstrates the positive outcome of this feature: instead of scanning the whole table, the optimizer prefers to use a parameterized scan, being aware of the only single tuple the join has to produce to perform the query. Discussion: https://www.postgresql.org/message-id/flat/CAN-LCVPxnWB39CUBTgOQ9O7Dd8DrA_tpT1EY3LNVnUuvAX1NjA%40mail.gmail.com Author: Nikita Malakhov <hukutoc@gmail.com> Author: Andrei Lepikhov <lepihov@gmail.com> Reviewed-by: Andy Fan <zhihuifan1213@163.com> Reviewed-by: Alexander Korotkov <aekorotkov@gmail.com> |
10 months ago |
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fbc0fe9a2e |
Adjust tuples estimate for appendrels
In set_append_rel_size(), we currently set rel->tuples to rel->rows for an appendrel. Generally, rel->tuples is the raw number of tuples in the relation and rel->rows is the estimated number of tuples after the relation's restriction clauses have been applied. Although an appendrel itself doesn't directly enforce any quals today, its child relations may. Therefore, setting rel->tuples equal to rel->rows for an appendrel isn't always appropriate. Doing so can lead to issues in cost estimates in some cases. For instance, when estimating the number of distinct values from an appendrel, we would not be able to adjust the estimate based on the restriction selectivity. This patch addresses this by setting an appendrel's tuples to the total number of tuples accumulated from each live child, which better aligns with reality. This is arguably a bug, but nobody has complained about that until now, so no back-patch. Author: Richard Guo <guofenglinux@gmail.com> Reviewed-by: Tender Wang <tndrwang@gmail.com> Reviewed-by: Alena Rybakina <a.rybakina@postgrespro.ru> Discussion: https://postgr.es/m/CAMbWs4_TG_+kVn6fjG-5GYzzukrNK57=g9eUo4gsrUG26OFawg@mail.gmail.com |
10 months ago |
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80feb727c8 |
Add OLD/NEW support to RETURNING in DML queries.
This allows the RETURNING list of INSERT/UPDATE/DELETE/MERGE queries to explicitly return old and new values by using the special aliases "old" and "new", which are automatically added to the query (if not already defined) while parsing its RETURNING list, allowing things like: RETURNING old.colname, new.colname, ... RETURNING old.*, new.* Additionally, a new syntax is supported, allowing the names "old" and "new" to be changed to user-supplied alias names, e.g.: RETURNING WITH (OLD AS o, NEW AS n) o.colname, n.colname, ... This is useful when the names "old" and "new" are already defined, such as inside trigger functions, allowing backwards compatibility to be maintained -- the interpretation of any existing queries that happen to already refer to relations called "old" or "new", or use those as aliases for other relations, is not changed. For an INSERT, old values will generally be NULL, and for a DELETE, new values will generally be NULL, but that may change for an INSERT with an ON CONFLICT ... DO UPDATE clause, or if a query rewrite rule changes the command type. Therefore, we put no restrictions on the use of old and new in any DML queries. Dean Rasheed, reviewed by Jian He and Jeff Davis. Discussion: https://postgr.es/m/CAEZATCWx0J0-v=Qjc6gXzR=KtsdvAE7Ow=D=mu50AgOe+pvisQ@mail.gmail.com |
11 months ago |
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50e6eb731d |
Update copyright for 2025
Backpatch-through: 13 |
12 months ago |
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247dea89f7 |
Introduce an RTE for the grouping step
If there are subqueries in the grouping expressions, each of these subqueries in the targetlist and HAVING clause is expanded into distinct SubPlan nodes. As a result, only one of these SubPlan nodes would be converted to reference to the grouping key column output by the Agg node; others would have to get evaluated afresh. This is not efficient, and with grouping sets this can cause wrong results issues in cases where they should go to NULL because they are from the wrong grouping set. Furthermore, during re-evaluation, these SubPlan nodes might use nulled column values from grouping sets, which is not correct. This issue is not limited to subqueries. For other types of expressions that are part of grouping items, if they are transformed into another form during preprocessing, they may fail to match lower target items. This can also lead to wrong results with grouping sets. To fix this issue, we introduce a new kind of RTE representing the output of the grouping step, with columns that are the Vars or expressions being grouped on. In the parser, we replace the grouping expressions in the targetlist and HAVING clause with Vars referencing this new RTE, so that the output of the parser directly expresses the semantic requirement that the grouping expressions be gotten from the grouping output rather than computed some other way. In the planner, we first preprocess all the columns of this new RTE and then replace any Vars in the targetlist and HAVING clause that reference this new RTE with the underlying grouping expressions, so that we will have only one instance of a SubPlan node for each subquery contained in the grouping expressions. Bump catversion because this changes the querytree produced by the parser. Thanks to Tom Lane for the idea to invent a new kind of RTE. Per reports from Geoff Winkless, Tobias Wendorff, Richard Guo from various threads. Author: Richard Guo Reviewed-by: Ashutosh Bapat, Sutou Kouhei Discussion: https://postgr.es/m/CAMbWs4_dp7e7oTwaiZeBX8+P1rXw4ThkZxh1QG81rhu9Z47VsQ@mail.gmail.com |
1 year ago |
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581df21487 |
Fix rowcount estimate for gather (merge) paths
In the case of a parallel plan, when computing the number of tuples processed per worker, we divide the total number of tuples by the parallel_divisor obtained from get_parallel_divisor(), which accounts for the leader's contribution in addition to the number of workers. Accordingly, when estimating the number of tuples for gather (merge) nodes, we should multiply the number of tuples per worker by the same parallel_divisor to reverse the division. However, currently we use parallel_workers rather than parallel_divisor for the multiplication. This could result in an underestimation of the number of tuples for gather (merge) nodes, especially when there are fewer than four workers. This patch fixes this issue by using the same parallel_divisor for the multiplication. There is one ensuing plan change in the regression tests, but it looks reasonable and does not compromise its original purpose of testing parallel-aware hash join. In passing, this patch removes an unnecessary assignment for path.rows in create_gather_merge_path, and fixes an uninitialized-variable issue in generate_useful_gather_paths. No backpatch as this could result in plan changes. Author: Anthonin Bonnefoy Reviewed-by: Rafia Sabih, Richard Guo Discussion: https://postgr.es/m/CAO6_Xqr9+51NxgO=XospEkUeAg-p=EjAWmtpdcZwjRgGKJ53iA@mail.gmail.com |
1 year ago |
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e4326fbc60 |
Remove grotty use of disable_cost for TID scan plans.
Previously, the code charged disable_cost for CurrentOfExpr, and then subtracted disable_cost from the cost of a TID path that used CurrentOfExpr as the TID qual, effectively disabling all paths except that one. Now, we instead suppress generation of the disabled paths entirely, and generate only the one that the executor will actually understand. With this approach, we do not need to rely on disable_cost being large enough to prevent the wrong path from being chosen, and we save some CPU cycle by avoiding generating paths that we can't actually use. In my opinion, the code is also easier to understand like this. Patch by me. Review by Heikki Linnakangas. Discussion: http://postgr.es/m/591b3596-2ea0-4b8e-99c6-fad0ef2801f5@iki.fi |
1 year ago |
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12933dc604 |
Re-allow planner to use Merge Append to efficiently implement UNION.
This reverts commit |
2 years ago |
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7204f35919 |
Revert commit 66c0185a3 and follow-on patches.
This reverts |
2 years ago |
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7d2c7f08d9 |
Fix query pullup issue with WindowClause runCondition
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2 years ago |
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d5d2205c8d |
Fix assert failure when planning setop subqueries with CTEs
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2 years ago |
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be98a550cc |
Update comment in set_dummy_rel_pathlist().
This comment claimed that set_dummy_rel_pathlist() has callers other than (possibly indirectly) set_rel_size(). It doesn't, so revise the argument to not rely on that. Noted by Richard Guo. Discussion: https://postgr.es/m/CAMbWs4-KFEU_fDuJPNCOkUu3rwvZvKBEytkd9VrM4kH4-2h1CQ@mail.gmail.com |
2 years ago |
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9d00cf4772 |
Remove some redundant set_cheapest() calls.
Commit
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2 years ago |
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a65724dfa7 |
Propagate pathkeys from CTEs up to the outer query.
If we know the sort order of a CTE's output, and it is relevant
to the outer query, label the CTE's outer-query access path using
those pathkeys. This may enable optimizations such as avoiding
a sort in the outer query.
The code for hoisting pathkeys into the outer query already exists
for regular RTE_SUBQUERY subqueries, but it wasn't getting used for
CTEs, possibly out of concern for maintaining an optimization fence
between the CTE and the outer query. However, on the same arguments
used for commit
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2 years ago |
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dbbca2cf29 |
Remove unused #include's from backend .c files
as determined by include-what-you-use (IWYU) While IWYU also suggests to *add* a bunch of #include's (which is its main purpose), this patch does not do that. In some cases, a more specific #include replaces another less specific one. Some manual adjustments of the automatic result: - IWYU currently doesn't know about includes that provide global variable declarations (like -Wmissing-variable-declarations), so those includes are being kept manually. - All includes for port(ability) headers are being kept for now, to play it safe. - No changes of catalog/pg_foo.h to catalog/pg_foo_d.h, to keep the patch from exploding in size. Note that this patch touches just *.c files, so nothing declared in header files changes in hidden ways. As a small example, in src/backend/access/transam/rmgr.c, some IWYU pragma annotations are added to handle a special case there. Discussion: https://www.postgresql.org/message-id/flat/af837490-6b2f-46df-ba05-37ea6a6653fc%40eisentraut.org |
2 years ago |
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902900b308 |
Adjust reltarget assignment for UPPERREL_PARTIAL_DISTINCT rel
A comment in grouping_planner() claimed that the PlannerInfo upper_targets array was not used in core code. However, the code that generated the paths for the UPPERREL_PARTIAL_DISTINCT rel made that comment untrue. Here we adjust the create_distinct_paths() function signature to pass down the PathTarget the same as is done for create_grouping_paths(), thus making the aforementioned comment true again. In passing adjust the order of the upper_targets[] assignments. These seem to be following the reverse enum order apart from UPPERREL_PARTIAL_DISTINCT. Also, update the header comment for generate_gather_paths() to mention the function is also used to create gather paths for partial distinct paths. Author: Richard Guo, David Rowley Discussion: https://postgr.es/m/CAMbWs48u9VoVOouJsys1qOaC9WVGVmBa+wT1dx8KvxF5GPzezA@mail.gmail.com |
2 years ago |
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29275b1d17 |
Update copyright for 2024
Reported-by: Michael Paquier Discussion: https://postgr.es/m/ZZKTDPxBBMt3C0J9@paquier.xyz Backpatch-through: 12 |
2 years ago |
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611806cd72 |
Add trailing commas to enum definitions
Since C99, there can be a trailing comma after the last value in an enum definition. A lot of new code has been introducing this style on the fly. Some new patches are now taking an inconsistent approach to this. Some add the last comma on the fly if they add a new last value, some are trying to preserve the existing style in each place, some are even dropping the last comma if there was one. We could nudge this all in a consistent direction if we just add the trailing commas everywhere once. I omitted a few places where there was a fixed "last" value that will always stay last. I also skipped the header files of libpq and ecpg, in case people want to use those with older compilers. There were also a small number of cases where the enum type wasn't used anywhere (but the enum values were), which ended up confusing pgindent a bit, so I left those alone. Discussion: https://www.postgresql.org/message-id/flat/386f8c45-c8ac-4681-8add-e3b0852c1620%40eisentraut.org |
2 years ago |
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14661ba1a7 |
Replace has_multiple_baserels() with a bitmap test on all_baserels.
Since we added the PlannerInfo.all_baserels set, it's not really necessary to grovel over the rangetable to count baserels in the current query. So let's drop has_multiple_baserels() in favor of a bms_membership() test. This might be microscopically faster, but the main point is to remove some unnecessary code. Richard Guo Discussion: https://postgr.es/m/CAMbWs4_8RcSbbfs1ASZLrMuL0c0EQgXWcoLTQD8swBRY_pQQiA@mail.gmail.com |
2 years ago |
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fc4089f3c6 |
Fix possible crash in add_paths_to_append_rel()
While working on
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2 years ago |
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77db132637 |
Remove debug_print_rel and replace usages with pprint
Going by |
2 years ago |
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a8a968a821 |
Consider cheap startup paths in add_paths_to_append_rel
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2 years ago |
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6d0c39a293 |
C comment: add optimizer function reference
Reported-by: James Coleman Discussion: https://postgr.es/m/CAAaqYe9F6uoMhAr+8rMLwvGzaKaSknPA0Wi3Ehtv8pbSYmJq-Q@mail.gmail.com Backpatch-through: master |
2 years ago |
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c4a1933b48 |
Add missing TidRangePath handling in print_path()
Tid Range scans were added back in |
2 years ago |
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eef231e816 |
Fix some typos and some incorrectly duplicated words
Author: Justin Pryzby Reviewed-by: David Rowley Discussion: https://postgr.es/m/ZD3D1QxoccnN8A1V@telsasoft.com |
3 years ago |
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eb7d043c9b |
Fix incorrect logic for determining safe WindowAgg run conditions
The logic added in |
3 years ago |
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e3ac85014e |
Support PlaceHolderVars in MERGE actions.
preprocess_targetlist thought PHVs couldn't appear here. It was mistaken, as per report from Önder Kalacı. Surveying other pull_var_clause calls, I noted no similar errors, but I did notice that qual_is_pushdown_safe's assertion about !contain_window_function was pointless, because the following pull_var_clause call would complain about them anyway. In HEAD only, remove the redundant Assert and improve the commentary. Discussion: https://postgr.es/m/CACawEhUuum-gC_2S3sXLTcsk7bUSPSHOD+g1ZpfKaDK-KKPPWA@mail.gmail.com |
3 years ago |
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767c598954 |
Work around implementation restriction in adjust_appendrel_attrs.
adjust_appendrel_attrs can't transfer nullingrel labeling to a non-Var
translation expression (mainly because it's too late to wrap such an
expression in a PlaceHolderVar). I'd supposed in commit
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3 years ago |
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94cad7a3e6 |
Optimize generate_orderedappend_paths
In generate_orderedappend_paths(), when match_partition_order_desc was true, we would lcons() items to various lists in a loop over each live partition. When the number of live partitions was large, the lcons() could show up in profiles due to it having to perform memmove() to make way for the new list item. Here we adjust things so that we just perform the loop over the live partitions backwards when match_partition_order_desc is true. This allows us to simplify the logic in the loop. Now, as far as the guts of the loop knows, there's no difference between match_partition_order and match_partition_order_desc. We can just set match_partition_order to true so that we build the correct list of paths for the asc and desc case. Per idea from Andres Freund. Discussion: https://postgr.es/m/20230217002351.nyt4y5tdzg6hugdt@awork3.anarazel.de |
3 years ago |
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b448f1c8d8 |
Do assorted mop-up in the planner.
Remove RestrictInfo.nullable_relids, along with a good deal of infrastructure that calculated it. One use-case for it was in join_clause_is_movable_to, but we can now replace that usage with a check to see if the clause's relids include any outer join that can null the target relation. The other use-case was in join_clause_is_movable_into, but that test can just be dropped entirely now that the clause's relids include outer joins. Furthermore, join_clause_is_movable_into should now be accurate enough that it will accept anything returned by generate_join_implied_equalities, so we can restore the Assert that was diked out in commit |
3 years ago |
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2489d76c49 |
Make Vars be outer-join-aware.
Traditionally we used the same Var struct to represent the value of a table column everywhere in parse and plan trees. This choice predates our support for SQL outer joins, and it's really a pretty bad idea with outer joins, because the Var's value can depend on where it is in the tree: it might go to NULL above an outer join. So expression nodes that are equal() per equalfuncs.c might not represent the same value, which is a huge correctness hazard for the planner. To improve this, decorate Var nodes with a bitmapset showing which outer joins (identified by RTE indexes) may have nulled them at the point in the parse tree where the Var appears. This allows us to trust that equal() Vars represent the same value. A certain amount of klugery is still needed to cope with cases where we re-order two outer joins, but it's possible to make it work without sacrificing that core principle. PlaceHolderVars receive similar decoration for the same reason. In the planner, we include these outer join bitmapsets into the relids that an expression is considered to depend on, and in consequence also add outer-join relids to the relids of join RelOptInfos. This allows us to correctly perceive whether an expression can be calculated above or below a particular outer join. This change affects FDWs that want to plan foreign joins. They *must* follow suit when labeling foreign joins in order to match with the core planner, but for many purposes (if postgres_fdw is any guide) they'd prefer to consider only base relations within the join. To support both requirements, redefine ForeignScan.fs_relids as base+OJ relids, and add a new field fs_base_relids that's set up by the core planner. Large though it is, this commit just does the minimum necessary to install the new mechanisms and get check-world passing again. Follow-up patches will perform some cleanup. (The README additions and comments mention some stuff that will appear in the follow-up.) Patch by me; thanks to Richard Guo for review. Discussion: https://postgr.es/m/830269.1656693747@sss.pgh.pa.us |
3 years ago |
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c8e1ba736b |
Update copyright for 2023
Backpatch-through: 11 |
3 years ago |
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4a29eabd1d |
Remove pessimistic cost penalization from Incremental Sort
When incremental sorts were added in v13 a 1.5x pessimism factor was added to the cost modal. Seemingly this was done because the cost modal only has an estimate of the total number of input rows and the number of presorted groups. It assumes that the input rows will be evenly distributed throughout the presorted groups. The 1.5x pessimism factor was added to slightly reduce the likelihood of incremental sorts being used in the hope to avoid performance regressions where an incremental sort plan was picked and turned out slower due to a large skew in the number of rows in the presorted groups. An additional quirk with the path generation code meant that we could consider both a sort and an incremental sort on paths with presorted keys. This meant that with the pessimism factor, it was possible that we opted to perform a sort rather than an incremental sort when the given path had presorted keys. Here we remove the 1.5x pessimism factor to allow incremental sorts to have a fairer chance at being chosen against a full sort. Previously we would generally create a sort path on the cheapest input path (if that wasn't sorted already) and incremental sort paths on any path which had presorted keys. This meant that if the cheapest input path wasn't completely sorted but happened to have presorted keys, we would create a full sort path *and* an incremental sort path on that input path. Here we change this logic so that if there are presorted keys, we only create an incremental sort path, and create sort paths only when a full sort is required. Both the removal of the cost pessimism factor and the changes made to the path generation make it more likely that incremental sorts will now be chosen. That, of course, as with teaching the planner any new tricks, means an increased likelihood that the planner will perform an incremental sort when it's not the best method. Our standard escape hatch for these cases is an enable_* GUC. enable_incremental_sort already exists for this. This came out of a report by Pavel Luzanov where he mentioned that the master branch was choosing to perform a Seq Scan -> Sort -> Group Aggregate for his query with an ORDER BY aggregate function. The v15 plan for his query performed an Index Scan -> Group Aggregate, of course, the aggregate performed the final sort internally in nodeAgg.c for the aggregate's ORDER BY. The ideal plan would have been to use the index, which provided partially sorted input then use an incremental sort to provide the aggregate with the sorted input. This was not being chosen due to the pessimism in the incremental sort cost modal, so here we remove that and rationalize the path generation so that sort and incremental sort plans don't have to needlessly compete. We assume that it's senseless to ever use a full sort on a given input path where an incremental sort can be performed. Reported-by: Pavel Luzanov Reviewed-by: Richard Guo Discussion: https://postgr.es/m/9f61ddbf-2989-1536-b31e-6459370a6baa%40postgrespro.ru |
3 years ago |
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a858327221 |
Fix 32-bit build dangling pointer issue in WindowAgg
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3 years ago |
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fe12f2f8fa |
Fix generate_partitionwise_join_paths() to tolerate failure.
We might fail to generate a partitionwise join, because reparameterize_path_by_child() does not support all path types. This should not be a hard failure condition: we should just fall back to a non-partitioned join. However, generate_partitionwise_join_paths did not consider this possibility and would emit the (misleading) error "could not devise a query plan for the given query" if we'd failed to make any paths for a child join. Fix it to give up on partitionwise joining if so. (The accepted technique for giving up appears to be to set rel->nparts = 0, which I find pretty bizarre, but there you have it.) I have not added a test case because there'd be little point: any omissions of this sort that we identify would soon get fixed by extending reparameterize_path_by_child(), so the test would stop proving anything. However, right now there is a known test case based on failure to cover MaterialPath, and with that I've found that this is broken in all supported versions. Hence, patch all the way back. Original report and patch by me; thanks to Richard Guo for identifying a test case that works against committed versions. Discussion: https://postgr.es/m/1854233.1669949723@sss.pgh.pa.us |
3 years ago |
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8bf66dedd8 |
Fix confusion about havingQual vs hasHavingQual in planner.
Preprocessing of the HAVING clause will reduce havingQual to NIL if the clause is constant-TRUE. This is one case where that convention is rather unfortunate, because "HAVING TRUE" is not at all the same as not having any HAVING clause at all. (Per the SQL spec, it still forces the query to be grouped.) The planner deals with this by having a boolean hasHavingQual that records whether havingQual was originally nonempty; places that just want to check whether HAVING was specified are supposed to consult that. I found three places that got that wrong. Fortunately, these could only affect cost estimates not correctness. It'd be hard even to demonstrate the errors; for example, the one in allpaths.c would only matter in a query that has HAVING TRUE but no GROUP BY and no aggregates, which would require a completely variable-free SELECT list, making the case probably of only academic interest. Hence, while these are worth fixing before someone copies the incorrect coding somewhere more critical, they don't seem worth back-patching. I didn't bother trying to devise regression tests, either. Discussion: https://postgr.es/m/2503888.1666042643@sss.pgh.pa.us |
3 years ago |
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53823a06be |
Fix failure to set correct operator in window run condition
This was a simple omission in |
3 years ago |
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d8e34fa7a1 |
Fix incorrect is-this-the-topmost-join tests in parallel planning.
Two callers of generate_useful_gather_paths were testing the wrong thing when deciding whether to call that function: they checked for being at the top of the current join subproblem, rather than being at the actual top join. This'd result in failing to construct parallel paths for a sub-join for which they might be useful. While set_rel_pathlist() isn't actively broken, it seems best to make its identical-in-intention test for this be like the other two. This has been wrong all along, but given the lack of field complaints I'm hesitant to back-patch into stable branches; we usually prefer to avoid non-bug-fix changes in plan choices in minor releases. It seems not too late for v15 though. Richard Guo, reviewed by Antonin Houska and Tom Lane Discussion: https://postgr.es/m/CAMbWs4-mH8Zf87-w+3P2J=nJB+5OyicO28ia9q_9o=Lamf_VHg@mail.gmail.com |
3 years ago |
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4f1f5a7f85 |
Remove fls(), use pg_leftmost_one_pos32() instead.
Commit
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3 years ago |
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e2f6c307c0 |
Estimate cost of elided SubqueryScan, Append, MergeAppend nodes better.
setrefs.c contains logic to discard no-op SubqueryScan nodes, that is, ones that have no qual to check and copy the input targetlist unchanged. (Formally it's not very nice to be applying such optimizations so late in the planner, but there are practical reasons for it; mostly that we can't unify relids between the subquery and the parent query until we flatten the rangetable during setrefs.c.) This behavior falsifies our previous cost estimates, since we would've charged cpu_tuple_cost per row just to pass data through the node. Most of the time that's little enough to not matter, but there are cases where this effect visibly changes the plan compared to what you would've gotten with no sub-select. To improve the situation, make the callers of cost_subqueryscan tell it whether they think the targetlist is trivial. cost_subqueryscan already has the qual list, so it can check the other half of the condition easily. It could make its own determination of tlist triviality too, but doing so would be repetitive (for callers that may call it several times) or unnecessarily expensive (for callers that can determine this more cheaply than a general test would do). This isn't a 100% solution, because createplan.c also does things that can falsify any earlier estimate of whether the tlist is trivial. However, it fixes nearly all cases in practice, if results for the regression tests are anything to go by. setrefs.c also contains logic to discard no-op Append and MergeAppend nodes. We did have knowledge of that behavior at costing time, but somebody failed to update it when a check on parallel-awareness was added to the setrefs.c logic. Fix that while we're here. These changes result in two minor changes in query plans shown in our regression tests. Neither is relevant to the purposes of its test case AFAICT. Patch by me; thanks to Richard Guo for review. Discussion: https://postgr.es/m/2581077.1651703520@sss.pgh.pa.us |
3 years ago |
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c23e3e6beb |
Use list_copy_head() instead of list_truncate(list_copy(...), ...)
Truncating off the end of a freshly copied List is not a very efficient
way of copying the first N elements of a List.
In many of the cases that are updated here, the pattern was only being
used to remove the final element of a List. That's about the best case
for it, but there were many instances where the truncate trimming the List
down much further.
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3 years ago |
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3e9abd2eb1 |
Teach remove_unused_subquery_outputs about window run conditions
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4 years ago |