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${ noResults }
200 Commits (2489d76c4906f4461a364ca8ad7e0751ead8aa0d)
Author | SHA1 | Message | Date |
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8d83a5d0a2 |
Remove redundant grouping and DISTINCT columns.
Avoid explicitly grouping by columns that we know are redundant for sorting, for example we need group by only one of x and y in SELECT ... WHERE x = y GROUP BY x, y This comes up more often than you might think, as shown by the changes in the regression tests. It's nearly free to detect too, since we are just piggybacking on the existing logic that detects redundant pathkeys. (In some of the existing plans that change, it's visible that a sort step preceding the grouping step already didn't bother to sort by the redundant column, making the old plan a bit silly-looking.) To do this, build processed_groupClause and processed_distinctClause lists that omit any provably-redundant sort items, and consult those not the originals where relevant. This means that within the planner, one should usually consult root->processed_groupClause or root->processed_distinctClause if one wants to know which columns are to be grouped on; but to check whether grouping or distinct-ing is happening at all, check non-NIL-ness of parse->groupClause or parse->distinctClause. This is comparable to longstanding rules about handling the HAVING clause, so I don't think it'll be a huge maintenance problem. nodeAgg.c also needs minor mods, because it's now possible to generate AGG_PLAIN and AGG_SORTED Agg nodes with zero grouping columns. Patch by me; thanks to Richard Guo and David Rowley for review. Discussion: https://postgr.es/m/185315.1672179489@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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f4c7c410ee |
Revert "Optimize order of GROUP BY keys".
This reverts commit |
3 years ago |
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a601366a46 |
Harmonize more parameter names in bulk.
Make sure that function declarations use names that exactly match the corresponding names from function definitions in optimizer, parser, utility, libpq, and "commands" code, as well as in remaining library code. Do the same for all code related to frontend programs (with the exception of pg_dump/pg_dumpall related code). Like other recent commits that cleaned up function parameter names, this commit was written with help from clang-tidy. Later commits will handle ecpg and pg_dump/pg_dumpall. Author: Peter Geoghegan <pg@bowt.ie> Reviewed-By: David Rowley <dgrowleyml@gmail.com> Discussion: https://postgr.es/m/CAH2-WznJt9CMM9KJTMjJh_zbL5hD9oX44qdJ4aqZtjFi-zA3Tg@mail.gmail.com |
3 years ago |
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1349d2790b |
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 |
3 years ago |
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80ad91ea8c |
Fix inconsistent parameter names between prototype and declaration
Noticed while working in this area. This code was introduced in PG15, which is still in beta, so backpatch to there for consistency. Backpatch-through: 15 |
3 years ago |
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23e7b38bfe |
Pre-beta mechanical code beautification.
Run pgindent, pgperltidy, and reformat-dat-files. I manually fixed a couple of comments that pgindent uglified. |
3 years ago |
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f3dd9fe1dd |
Fix postgres_fdw to check shippability of sort clauses properly.
postgres_fdw would push ORDER BY clauses to the remote side without
verifying that the sort operator is safe to ship. Moreover, it failed
to print a suitable USING clause if the sort operator isn't default
for the sort expression's type. The net result of this is that the
remote sort might not have anywhere near the semantics we expect,
which'd be disastrous for locally-performed merge joins in particular.
We addressed similar issues in the context of ORDER BY within an
aggregate function call in commit
|
4 years ago |
![]() |
db0d67db24 |
Optimize order of GROUP BY keys
When evaluating a query with a multi-column GROUP BY clause using sort, the cost may be heavily dependent on the order in which the keys are compared when building the groups. Grouping does not imply any ordering, so we're allowed to compare the keys in arbitrary order, and a Hash Agg leverages this. But for Group Agg, we simply compared keys in the order as specified in the query. This commit explores alternative ordering of the keys, trying to find a cheaper one. In principle, we might generate grouping paths for all permutations of the keys, and leave the rest to the optimizer. But that might get very expensive, so we try to pick only a couple interesting orderings based on both local and global information. When planning the grouping path, we explore statistics (number of distinct values, cost of the comparison function) for the keys and reorder them to minimize comparison costs. Intuitively, it may be better to perform more expensive comparisons (for complex data types etc.) last, because maybe the cheaper comparisons will be enough. Similarly, the higher the cardinality of a key, the lower the probability we’ll need to compare more keys. The patch generates and costs various orderings, picking the cheapest ones. The ordering of group keys may interact with other parts of the query, some of which may not be known while planning the grouping. E.g. there may be an explicit ORDER BY clause, or some other ordering-dependent operation, higher up in the query, and using the same ordering may allow using either incremental sort or even eliminate the sort entirely. The patch generates orderings and picks those minimizing the comparison cost (for various pathkeys), and then adds orderings that might be useful for operations higher up in the plan (ORDER BY, etc.). Finally, it always keeps the ordering specified in the query, on the assumption the user might have additional insights. This introduces a new GUC enable_group_by_reordering, so that the optimization may be disabled if needed. The original patch was proposed by Teodor Sigaev, and later improved and reworked by Dmitry Dolgov. Reviews by a number of people, including me, Andrey Lepikhov, Claudio Freire, Ibrar Ahmed and Zhihong Yu. Author: Dmitry Dolgov, Teodor Sigaev, Tomas Vondra Reviewed-by: Tomas Vondra, Andrey Lepikhov, Claudio Freire, Ibrar Ahmed, Zhihong Yu Discussion: https://postgr.es/m/7c79e6a5-8597-74e8-0671-1c39d124c9d6%40sigaev.ru Discussion: https://postgr.es/m/CA%2Bq6zcW_4o2NC0zutLkOJPsFt80megSpX_dVRo6GK9PC-Jx_Ag%40mail.gmail.com |
4 years ago |
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27b77ecf9f |
Update copyright for 2022
Backpatch-through: 10 |
4 years ago |
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7645376774 |
Rename find_em_expr_usable_for_sorting_rel.
I didn't particularly like this function name, as it fails to express what's going on. Also, returning the sort expression alone isn't too helpful --- typically, a caller would also need some other fields of the EquivalenceMember. But the sole caller really only needs a bool result, so let's make it "bool relation_can_be_sorted_early()". Discussion: https://postgr.es/m/91f3ec99-85a4-fa55-ea74-33f85a5c651f@swarm64.com |
4 years ago |
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3753982441 |
Fix planner failure in some cases of sorting by an aggregate.
An oversight introduced by the incremental-sort patches caused "could not find pathkey item to sort" errors in some situations where a sort key involves an aggregate or window function. The basic problem here is that find_em_expr_usable_for_sorting_rel isn't properly modeling what prepare_sort_from_pathkeys will do later. Rather than hoping we can keep those functions in sync, let's refactor so that they actually share the code for identifying a suitable sort expression. With this refactoring, tlist.c's tlist_member_ignore_relabel is unused. I removed it in HEAD but left it in place in v13, in case any extensions are using it. Per report from Luc Vlaming. Back-patch to v13 where the problem arose. James Coleman and Tom Lane Discussion: https://postgr.es/m/91f3ec99-85a4-fa55-ea74-33f85a5c651f@swarm64.com |
4 years ago |
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55dc86eca7 |
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
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5 years ago |
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ca3b37487b |
Update copyright for 2021
Backpatch-through: 9.5 |
5 years ago |
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86b7cca72d |
Check parallel safety in generate_useful_gather_paths
Commit
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5 years ago |
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ebb7ae839d |
Fix get_useful_pathkeys_for_relation for volatile expressions
When considering Incremental Sort below a Gather Merge, we need to be a bit more careful when matching pathkeys to EC members. It's not enough to find a member whose Vars are all in the current relation's target; volatile expressions in particular need to be contained in the target, otherwise it's too early to use the pathkey. Reported-by: Jaime Casanova Author: James Coleman Reviewed-by: Tomas Vondra Backpatch-through: 13, where the incremental sort code was added Discussion: https://postgr.es/m/CAJGNTeNaxpXgBVcRhJX%2B2vSbq%2BF2kJqGBcvompmpvXb7pq%2BoFA%40mail.gmail.com |
5 years ago |
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ad1c36b070 |
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 |
5 years ago |
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ba3e76cc57 |
Consider Incremental Sort paths at additional places
Commit
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6 years ago |
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d2d8a229bc |
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 |
6 years ago |
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0568e7a2a4 |
Cosmetic improvements for code related to partitionwise join.
Move have_partkey_equi_join and match_expr_to_partition_keys to relnode.c, since they're used only there. Refactor build_joinrel_partition_info to split out the code that fills the joinrel's partition key lists; this doesn't have any non-cosmetic impact, but it seems like a useful separation of concerns. Improve assorted nearby comments. Amit Langote, with a little further editorialization by me Discussion: https://postgr.es/m/CA+HiwqG2WVUGmLJqtR0tPFhniO=H=9qQ+Z3L_ZC+Y3-EVQHFGg@mail.gmail.com |
6 years ago |
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7559d8ebfa |
Update copyrights for 2020
Backpatch-through: update all files in master, backpatch legal files through 9.4 |
6 years ago |
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529ebb20aa |
Generate EquivalenceClass members for partitionwise child join rels.
Commit |
6 years ago |
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8255c7a5ee |
Phase 2 pgindent run for v12.
Switch to 2.1 version of pg_bsd_indent. This formats multiline function declarations "correctly", that is with additional lines of parameter declarations indented to match where the first line's left parenthesis is. Discussion: https://postgr.es/m/CAEepm=0P3FeTXRcU5B2W3jv3PgRVZ-kGUXLGfd42FFhUROO3ug@mail.gmail.com |
6 years ago |
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959d00e9db |
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 |
7 years ago |
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1d33858406 |
Fix handling of targetlist SRFs when scan/join relation is known empty.
When we introduced separate ProjectSetPath nodes for application of
set-returning functions in v10, we inadvertently broke some cases where
we're supposed to recognize that the result of a subquery is known to be
empty (contain zero rows). That's because IS_DUMMY_REL was just looking
for a childless AppendPath without allowing for a ProjectSetPath being
possibly stuck on top. In itself, this didn't do anything much worse
than produce slightly worse plans for some corner cases.
Then in v11, commit
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7 years ago |
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1a8d5afb0d |
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 |
7 years ago |
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fa2cf164aa |
Rename nodes/relation.h to nodes/pathnodes.h.
The old name of this file was never a very good indication of what it was for. Now that there's also access/relation.h, we have a potential confusion hazard as well, so let's rename it to something more apropos. Per discussion, "pathnodes.h" is reasonable, since a good fraction of the file is Path node definitions. While at it, tweak a couple of other headers that were gratuitously importing relation.h into modules that don't need it. Discussion: https://postgr.es/m/7719.1548688728@sss.pgh.pa.us |
7 years ago |
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97c39498e5 |
Update copyright for 2019
Backpatch-through: certain files through 9.4 |
7 years ago |
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bdf46af748 |
Post-feature-freeze pgindent run.
Discussion: https://postgr.es/m/15719.1523984266@sss.pgh.pa.us |
8 years ago |
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c792c7db41 |
Change more places to be less trusting of RestrictInfo.is_pushed_down.
On further reflection, commit
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8 years ago |
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e2f1eb0ee3 |
Implement partition-wise grouping/aggregation.
If the partition keys of input relation are part of the GROUP BY clause, all the rows belonging to a given group come from a single partition. This allows aggregation/grouping over a partitioned relation to be broken down * into aggregation/grouping on each partition. This should be no worse, and often better, than the normal approach. If the GROUP BY clause does not contain all the partition keys, we can still perform partial aggregation for each partition and then finalize aggregation after appending the partial results. This is less certain to be a win, but it's still useful. Jeevan Chalke, Ashutosh Bapat, Robert Haas. The larger patch series of which this patch is a part was also reviewed and tested by Antonin Houska, Rajkumar Raghuwanshi, David Rowley, Dilip Kumar, Konstantin Knizhnik, Pascal Legrand, and Rafia Sabih. Discussion: http://postgr.es/m/CAM2+6=V64_xhstVHie0Rz=KPEQnLJMZt_e314P0jaT_oJ9MR8A@mail.gmail.com |
8 years ago |
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3bf05e096b |
Add a new upper planner relation for partially-aggregated results.
Up until now, we've abused grouped_rel->partial_pathlist as a place to store partial paths that have been partially aggregate, but that's really not correct, because a partial path for a relation is supposed to be one which produces the correct results with the addition of only a Gather or Gather Merge node, and these paths also require a Finalize Aggregate step. Instead, add a new partially_group_rel which can hold either partial paths (which need to be gathered and then have aggregation finalized) or non-partial paths (which only need to have aggregation finalized). This allows us to reuse generate_gather_paths for partially_grouped_rel instead of writing new code, so that this patch actually basically no net new code while making things cleaner, simplifying things for pending patches for partition-wise aggregate. Robert Haas and Jeevan Chalke. The larger patch series of which this patch is a part was also reviewed and tested by Antonin Houska, Rajkumar Raghuwanshi, David Rowley, Dilip Kumar, Konstantin Knizhnik, Pascal Legrand, Rafia Sabih, and me. Discussion: http://postgr.es/m/CA+TgmobrzFYS3+U8a_BCy3-hOvh5UyJbC18rEcYehxhpw5=ETA@mail.gmail.com Discussion: http://postgr.es/m/CA+TgmoZyQEjdBNuoG9-wC5GQ5GrO4544Myo13dVptvx+uLg9uQ@mail.gmail.com |
8 years ago |
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9afd513df0 |
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 |
8 years ago |
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2fb1abaeb0 |
Rename enable_partition_wise_join to enable_partitionwise_join
Discussion: https://www.postgresql.org/message-id/flat/ad24e4f4-6481-066e-e3fb-6ef4a3121882%402ndquadrant.com |
8 years ago |
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935dee9ad5 |
Mark assorted GUC variables as PGDLLIMPORT.
This makes life easier for extension authors. Metin Doslu Discussion: http://postgr.es/m/CAL1dPcfa45o1dC-c4t-48v0OZE6oy4ChJhObrtkK8mzNfXqDTA@mail.gmail.com |
8 years ago |
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9da0cc3528 |
Support parallel btree index builds.
To make this work, tuplesort.c and logtape.c must also support parallelism, so this patch adds that infrastructure and then applies it to the particular case of parallel btree index builds. Testing to date shows that this can often be 2-3x faster than a serial index build. The model for deciding how many workers to use is fairly primitive at present, but it's better than not having the feature. We can refine it as we get more experience. Peter Geoghegan with some help from Rushabh Lathia. While Heikki Linnakangas is not an author of this patch, he wrote other patches without which this feature would not have been possible, and therefore the release notes should possibly credit him as an author of this feature. Reviewed by Claudio Freire, Heikki Linnakangas, Thomas Munro, Tels, Amit Kapila, me. Discussion: http://postgr.es/m/CAM3SWZQKM=Pzc=CAHzRixKjp2eO5Q0Jg1SoFQqeXFQ647JiwqQ@mail.gmail.com Discussion: http://postgr.es/m/CAH2-Wz=AxWqDoVvGU7dq856S4r6sJAj6DBn7VMtigkB33N5eyg@mail.gmail.com |
8 years ago |
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9d4649ca49 |
Update copyright for 2018
Backpatch-through: certain files through 9.3 |
8 years ago |
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8ec5429e2f |
Reduce "X = X" to "X IS NOT NULL", if it's easy to do so.
If the operator is a strict btree equality operator, and X isn't volatile, then the clause must yield true for any non-null value of X, or null if X is null. At top level of a WHERE clause, we can ignore the distinction between false and null results, so it's valid to simplify the clause to "X IS NOT NULL". This is a useful improvement mainly because we'll get a far better selectivity estimate in most cases. Because such cases seldom arise in well-written queries, it is unappetizing to expend a lot of planner cycles looking for them ... but it turns out that there's a place we can shoehorn this in practically for free, because equivclass.c already has to detect and reject candidate equivalences of the form X = X. That doesn't catch every place that it would be valid to simplify to X IS NOT NULL, but it catches the typical case. Working harder doesn't seem justified. Patch by me, reviewed by Petr Jelinek Discussion: https://postgr.es/m/CAMjNa7cC4X9YR-vAJS-jSYCajhRDvJQnN7m2sLH1wLh-_Z2bsw@mail.gmail.com |
8 years ago |
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f49842d1ee |
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 |
8 years ago |
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c7b8998ebb |
Phase 2 of pgindent updates.
Change pg_bsd_indent to follow upstream rules for placement of comments
to the right of code, and remove pgindent hack that caused comments
following #endif to not obey the general rule.
Commit
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8 years ago |
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e3860ffa4d |
Initial pgindent run with pg_bsd_indent version 2.0.
The new indent version includes numerous fixes thanks to Piotr Stefaniak. The main changes visible in this commit are: * Nicer formatting of function-pointer declarations. * No longer unexpectedly removes spaces in expressions using casts, sizeof, or offsetof. * No longer wants to add a space in "struct structname *varname", as well as some similar cases for const- or volatile-qualified pointers. * Declarations using PG_USED_FOR_ASSERTS_ONLY are formatted more nicely. * Fixes bug where comments following declarations were sometimes placed with no space separating them from the code. * Fixes some odd decisions for comments following case labels. * Fixes some cases where comments following code were indented to less than the expected column 33. On the less good side, it now tends to put more whitespace around typedef names that are not listed in typedefs.list. This might encourage us to put more effort into typedef name collection; it's not really a bug in indent itself. There are more changes coming after this round, having to do with comment indentation and alignment of lines appearing within parentheses. I wanted to limit the size of the diffs to something that could be reviewed without one's eyes completely glazing over, so it seemed better to split up the changes as much as practical. Discussion: https://postgr.es/m/E1dAmxK-0006EE-1r@gemulon.postgresql.org Discussion: https://postgr.es/m/30527.1495162840@sss.pgh.pa.us |
8 years ago |
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a6fd7b7a5f |
Post-PG 10 beta1 pgindent run
perltidy run not included. |
8 years ago |
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2609e91fcf |
Fix regression in parallel planning against inheritance tables.
Commit
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9 years ago |
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f35742ccb7 |
Support parallel bitmap heap scans.
The index is scanned by a single process, but then all cooperating processes can iterate jointly over the resulting set of heap blocks. In the future, we might also want to support using a parallel bitmap index scan to set up for a parallel bitmap heap scan, but that's a job for another day. Dilip Kumar, with some corrections and cosmetic changes by me. The larger patch set of which this is a part has been reviewed and tested by (at least) Andres Freund, Amit Khandekar, Tushar Ahuja, Rafia Sabih, Haribabu Kommi, Thomas Munro, and me. Discussion: http://postgr.es/m/CAFiTN-uc4=0WxRGfCzs-xfkMYcSEWUC-Fon6thkJGjkh9i=13A@mail.gmail.com |
9 years ago |
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a71f10189d |
Preparatory refactoring for parallel merge join support.
Extract the logic used by hash_inner_and_outer into a separate function, get_cheapest_parallel_safe_total_inner, so that it can also be used to plan parallel merge joins. Also, add a require_parallel_safe argument to the existing function get_cheapest_path_for_pathkeys, because parallel merge join needs to find the cheapest path for a given set of pathkeys that is parallel-safe, not just the cheapest one overall. Patch by me, reviewed by Dilip Kumar. Discussion: http://postgr.es/m/CA+TgmoYOv+dFK0MWW6366dFj_xTnohQfoBDrHyB7d1oZhrgPjA@mail.gmail.com |
9 years ago |
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5262f7a4fc |
Add optimizer and executor support for parallel index scans.
In combination with
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9 years ago |
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51ee6f3160 |
Replace min_parallel_relation_size with two new GUCs.
When min_parallel_relation_size was added, the only supported type of parallel scan was a parallel sequential scan, but there are pending patches for parallel index scan, parallel index-only scan, and parallel bitmap heap scan. Those patches introduce two new types of complications: first, what's relevant is not really the total size of the relation but the portion of it that we will scan; and second, index pages and heap pages shouldn't necessarily be treated in exactly the same way. Typically, the number of index pages will be quite small, but that doesn't necessarily mean that a parallel index scan can't pay off. Therefore, we introduce min_parallel_table_scan_size, which works out a degree of parallelism for scans based on the number of table pages that will be scanned (and which is therefore equivalent to min_parallel_relation_size for parallel sequential scans) and also min_parallel_index_scan_size which can be used to work out a degree of parallelism based on the number of index pages that will be scanned. Amit Kapila and Robert Haas Discussion: http://postgr.es/m/CAA4eK1KowGSYYVpd2qPpaPPA5R90r++QwDFbrRECTE9H_HvpOg@mail.gmail.com Discussion: http://postgr.es/m/CAA4eK1+TnM4pXQbvn7OXqam+k_HZqb0ROZUMxOiL6DWJYCyYow@mail.gmail.com |
9 years ago |
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0777f7a2e8 |
Fix matching of boolean index columns to sort ordering.
Normally, if we have a WHERE clause like "indexcol = constant", the planner will figure out that that index column can be ignored when determining whether the index has a desired sort ordering. But this failed to work for boolean index columns, because a condition like "boolcol = true" is canonicalized to just "boolcol" which does not give rise to an EquivalenceClass. Add a check to allow the same type of deduction to be made in this case too. Per a complaint from Dima Pavlov. Arguably this is a bug, but given the limited impact and the small number of complaints so far, I won't risk destabilizing plans in stable branches by back-patching. Patch by me, reviewed by Michael Paquier Discussion: https://postgr.es/m/1788.1481605684@sss.pgh.pa.us |
9 years ago |
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1d25779284 |
Update copyright via script for 2017
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9 years ago |
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100340e2dc |
Restore foreign-key-aware estimation of join relation sizes.
This patch provides a new implementation of the logic added by commit |
9 years ago |