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${ noResults }
172 Commits (9079fe60b2142da6e89403b9a9504e75124c085d)
| Author | SHA1 | Message | Date |
|---|---|---|---|
|
|
bdf46af748 |
Post-feature-freeze pgindent run.
Discussion: https://postgr.es/m/15719.1523984266@sss.pgh.pa.us |
8 years ago |
|
|
c792c7db41 |
Change more places to be less trusting of RestrictInfo.is_pushed_down.
On further reflection, commit
|
8 years ago |
|
|
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 |
|
|
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 |
|
|
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 |
|
|
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 |
|
|
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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9 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 |
9 years ago |
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a6fd7b7a5f |
Post-PG 10 beta1 pgindent run
perltidy run not included. |
9 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 |
10 years ago |
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75be66464c |
Invent min_parallel_relation_size GUC to replace a hard-wired constant.
The main point of doing this is to allow the cutoff to be set very small, even zero, to allow parallel-query behavior to be tested on relatively small tables such as we typically use in the regression tests. But it might be of use to users too. The number-of-workers scaling behavior in create_plain_partial_paths() is pretty ad-hoc and subject to change, so we won't expose anything about that, but the notion of not considering parallel query at all for tables below size X seems reasonably stable. Amit Kapila, per a suggestion from me Discussion: <17170.1465830165@sss.pgh.pa.us> |
10 years ago |
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77ba610805 |
Revert "Use Foreign Key relationships to infer multi-column join selectivity".
This commit reverts |
10 years ago |
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207d5a656e |
Fix mishandling of equivalence-class tests in parameterized plans.
Given a three-or-more-way equivalence class, such as X.Y = Y.Y = Z.Z, it was possible for the planner to omit one of the quals needed to enforce that all members of the equivalence class are actually equal. This only happened in the case of a parameterized join node for two of the relations, that is a plan tree like Nested Loop -> Scan X -> Nested Loop -> Scan Y -> Scan Z Filter: Z.Z = X.X The eclass machinery normally expects to apply X.X = Y.Y when those two relations are joined, but in this shape of plan tree they aren't joined until the top node --- and, if the lower nested loop is marked as parameterized by X, the top node will assume that the relevant eclass condition(s) got pushed down into the lower node. On the other hand, the scan of Z assumes that it's only responsible for constraining Z.Z to match any one of the other eclass members. So one or another of the required quals sometimes fell between the cracks, depending on whether consideration of the eclass in get_joinrel_parampathinfo() for the lower nested loop chanced to generate X.X = Y.Y or X.X = Z.Z as the appropriate constraint there. If it generated the latter, it'd erroneously suppose that the Z scan would take care of matters. To fix, force X.X = Y.Y to be generated and applied at that join node when this case occurs. This is *extremely* hard to hit in practice, because various planner behaviors conspire to mask the problem; starting with the fact that the planner doesn't really like to generate a parameterized plan of the above shape. (It might have been impossible to hit it before we tweaked things to allow this plan shape for star-schema cases.) Many thanks to Alexander Kirkouski for submitting a reproducible test case. The bug can be demonstrated in all branches back to 9.2 where parameterized paths were introduced, so back-patch that far. |
10 years ago |
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137805f89a |
Use Foreign Key relationships to infer multi-column join selectivity
In cases where joins use multiple columns we currently assess each join separately causing gross mis-estimates for join cardinality. This patch adds use of FK information for the first time into the planner. When FKs are present and we have multi-column join information, plan estimates will be drastically improved. Cases with multiple FKs are handled, though partial matches are ignored currently. Net effect is substantial performance improvements for joins in many common cases. Additional planning time is isolated to cases that are currently performing poorly, measured at 0.08 - 0.15 ms. Please watch for planner performance regressions; circumstances seem unlikely but the law of unintended consequences may apply somewhen. Additional complex tests welcome to prove this before release. Tests can be performed using SET enable_fkey_estimates = on | off using scripts provided during Hackers discussions, message id: 552335D9.3090707@2ndquadrant.com Authors: Tomas Vondra and David Rowley Reviewed and tested by Simon Riggs, adding comments only |
10 years ago |
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f9aefcb91f |
Support using index-only scans with partial indexes in more cases.
Previously, the planner would reject an index-only scan if any restriction clause for its table used a column not available from the index, even if that restriction clause would later be dropped from the plan entirely because it's implied by the index's predicate. This is a fairly common situation for partial indexes because predicates using columns not included in the index are often the most useful kind of predicate, and we have to duplicate (or at least imply) the predicate in the WHERE clause in order to get the index to be considered at all. So index-only scans were essentially unavailable with such partial indexes. To fix, we have to do detection of implied-by-predicate clauses much earlier in the planner. This patch puts it in check_index_predicates (nee check_partial_indexes), meaning it gets done for every partial index, whereas we previously only considered this issue at createplan time, so that the work was only done for an index actually selected for use. That could result in a noticeable planning slowdown for queries against tables with many partial indexes. However, testing suggested that there isn't really a significant cost, especially not with reasonable numbers of partial indexes. We do get a small additional benefit, which is that cost_index is more accurate since it correctly discounts the evaluation cost of clauses that will be removed. We can also avoid considering such clauses as potential indexquals, which saves useless matching cycles in the case where the predicate columns aren't in the index, and prevents generating bogus plans that double-count the clause's selectivity when the columns are in the index. Tomas Vondra and Kyotaro Horiguchi, reviewed by Kevin Grittner and Konstantin Knizhnik, and whacked around a little by me |
10 years ago |
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3fc6e2d7f5 |
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. |
10 years ago |
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45be99f8cd |
Support parallel joins, and make related improvements.
The core innovation of this patch is the introduction of the concept of a partial path; that is, a path which if executed in parallel will generate a subset of the output rows in each process. Gathering a partial path produces an ordinary (complete) path. This allows us to generate paths for parallel joins by joining a partial path for one side (which at the baserel level is currently always a Partial Seq Scan) to an ordinary path on the other side. This is subject to various restrictions at present, especially that this strategy seems unlikely to be sensible for merge joins, so only nested loops and hash joins paths are generated. This also allows an Append node to be pushed below a Gather node in the case of a partitioned table. Testing revealed that early versions of this patch made poor decisions in some cases, which turned out to be caused by the fact that the original cost model for Parallel Seq Scan wasn't very good. So this patch tries to make some modest improvements in that area. There is much more to be done in the area of generating good parallel plans in all cases, but this seems like a useful step forward. Patch by me, reviewed by Dilip Kumar and Amit Kapila. |
10 years ago |
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ee94300446 |
Update copyright for 2016
Backpatch certain files through 9.1 |
10 years ago |
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ccd8f97922 |
postgres_fdw: Consider requesting sorted data so we can do a merge join.
When use_remote_estimate is enabled, consider adding ORDER BY to the
query we sending to the remote server so that we can use that ordered
data for a merge join. Commit
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10 years ago |
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acfcd45cac |
Still more fixes for planner's handling of LATERAL references.
More fuzz testing by Andreas Seltenreich exposed that the planner did not
cope well with chains of lateral references. If relation X references Y
laterally, and Y references Z laterally, then we will have to scan X on the
inside of a nestloop with Z, so for all intents and purposes X is laterally
dependent on Z too. The planner did not understand this and would generate
intermediate joins that could not be used. While that was usually harmless
except for wasting some planning cycles, under the right circumstances it
would lead to "failed to build any N-way joins" or "could not devise a
query plan" planner failures.
To fix that, convert the existing per-relation lateral_relids and
lateral_referencers relid sets into their transitive closures; that is,
they now show all relations on which a rel is directly or indirectly
laterally dependent. This not only fixes the chained-reference problem
but allows some of the relevant tests to be made substantially simpler
and faster, since they can be reduced to simple bitmap manipulations
instead of searches of the LateralJoinInfo list.
Also, when a PlaceHolderVar that is due to be evaluated at a join contains
lateral references, we should treat those references as indirect lateral
dependencies of each of the join's base relations. This prevents us from
trying to join any individual base relations to the lateral reference
source before the join is formed, which again cannot work.
Andreas' testing also exposed another oversight in the "dangerous
PlaceHolderVar" test added in commit
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10 years ago |
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cde35cf4ae |
Fix eclass_useful_for_merging to give valid results for appendrel children.
Formerly, this function would always return "true" for an appendrel child relation, because it would think that the appendrel parent was a potential join target for the child. In principle that should only lead to some inefficiency in planning, but fuzz testing by Andreas Seltenreich disclosed that it could lead to "could not find pathkey item to sort" planner errors in odd corner cases. Specifically, we would think that all columns of a child table's multicolumn index were interesting pathkeys, causing us to generate a MergeAppend path that sorts by all the columns. However, if any of those columns weren't actually used above the level of the appendrel, they would not get added to that rel's targetlist, which would result in being unable to resolve the MergeAppend's sort keys against its targetlist during createplan.c. Backpatch to 9.3. In older versions, columns of an appendrel get added to its targetlist even if they're not mentioned above the scan level, so that the failure doesn't occur. It might be worth back-patching this fix to older versions anyway, but I'll refrain for the moment. |
11 years ago |
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1a8a4e5cde |
Code review for foreign/custom join pushdown patch.
Commit
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11 years ago |
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e7cb7ee145 |
Allow FDWs and custom scan providers to replace joins with scans.
Foreign data wrappers can use this capability for so-called "join pushdown"; that is, instead of executing two separate foreign scans and then joining the results locally, they can generate a path which performs the join on the remote server and then is scanned locally. This commit does not extend postgres_fdw to take advantage of this capability; it just provides the infrastructure. Custom scan providers can use this in a similar way. Previously, it was only possible for a custom scan provider to scan a single relation. Now, it can scan an entire join tree, provided of course that it knows how to produce the same results that the join would have produced if executed normally. KaiGai Kohei, reviewed by Shigeru Hanada, Ashutosh Bapat, and me. |
11 years ago |
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4baaf863ec |
Update copyright for 2015
Backpatch certain files through 9.0 |
11 years ago |
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c2ea2285e9 |
Simplify API for initially hooking custom-path providers into the planner.
Instead of register_custom_path_provider and a CreateCustomScanPath callback, let's just provide a standard function hook in set_rel_pathlist. This is more flexible than what was previously committed, is more like the usual conventions for planner hooks, and requires less support code in the core. We had discussed this design (including centralizing the set_cheapest() calls) back in March or so, so I'm not sure why it wasn't done like this already. |
11 years ago |
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7e04792a1c |
Update copyright for 2014
Update all files in head, and files COPYRIGHT and legal.sgml in all back branches. |
12 years ago |
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f7fbf4b0be |
Remove dead code now that orindxpath.c is history.
We don't need make_restrictinfo_from_bitmapqual() anymore at all. generate_bitmap_or_paths() doesn't need to be exported, and we can drop its rather klugy restriction_only flag. |
12 years ago |
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f343a880d5 |
Extract restriction OR clauses whether or not they are indexable.
It's possible to extract a restriction OR clause from a join clause that has the form of an OR-of-ANDs, if each sub-AND includes a clause that mentions only one specific relation. While PG has been aware of that idea for many years, the code previously only did it if it could extract an indexable OR clause. On reflection, though, that seems a silly limitation: adding a restriction clause can be a win by reducing the number of rows that have to be filtered at the join step, even if we have to test the clause as a plain filter clause during the scan. This should be especially useful for foreign tables, where the change can cut the number of rows that have to be retrieved from the foreign server; but testing shows it can win even on local tables. Per a suggestion from Robert Haas. As a heuristic, I made the code accept an extracted restriction clause if its estimated selectivity is less than 0.9, which will probably result in accepting extracted clauses just about always. We might need to tweak that later based on experience. Since the code no longer has even a weak connection to Path creation, remove orindxpath.c and create a new file optimizer/util/orclauses.c. There's some additional janitorial cleanup of now-dead code that needs to happen, but it seems like that's a fit subject for a separate commit. |
12 years ago |
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784e762e88 |
Support multi-argument UNNEST(), and TABLE() syntax for multiple functions.
This patch adds the ability to write TABLE( function1(), function2(), ...) as a single FROM-clause entry. The result is the concatenation of the first row from each function, followed by the second row from each function, etc; with NULLs inserted if any function produces fewer rows than others. This is believed to be a much more useful behavior than what Postgres currently does with multiple SRFs in a SELECT list. This syntax also provides a reasonable way to combine use of column definition lists with WITH ORDINALITY: put the column definition list inside TABLE(), where it's clear that it doesn't control the ordinality column as well. Also implement SQL-compliant multiple-argument UNNEST(), by turning UNNEST(a,b,c) into TABLE(unnest(a), unnest(b), unnest(c)). The SQL standard specifies TABLE() with only a single function, not multiple functions, and it seems to require an implicit UNNEST() which is not what this patch does. There may be something wrong with that reading of the spec, though, because if it's right then the spec's TABLE() is just a pointless alternative spelling of UNNEST(). After further review of that, we might choose to adopt a different syntax for what this patch does, but in any case this functionality seems clearly worthwhile. Andrew Gierth, reviewed by Zoltán Böszörményi and Heikki Linnakangas, and significantly revised by me |
12 years ago |
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f3b3b8d5be |
Compute correct em_nullable_relids in get_eclass_for_sort_expr().
Bug #8591 from Claudio Freire demonstrates that get_eclass_for_sort_expr
must be able to compute valid em_nullable_relids for any new equivalence
class members it creates. I'd worried about this in the commit message
for
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12 years ago |
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db9f0e1d9a |
Postpone creation of pathkeys lists to fix bug #8049.
This patch gets rid of the concept of, and infrastructure for, non-canonical PathKeys; we now only ever create canonical pathkey lists. The need for non-canonical pathkeys came from the desire to have grouping_planner initialize query_pathkeys and related pathkey lists before calling query_planner. However, since query_planner didn't actually *do* anything with those lists before they'd been made canonical, we can get rid of the whole mess by just not creating the lists at all until the point where we formerly canonicalized them. There are several ways in which we could implement that without making query_planner itself deal with grouping/sorting features (which are supposed to be the province of grouping_planner). I chose to add a callback function to query_planner's API; other alternatives would have required adding more fields to PlannerInfo, which while not bad in itself would create an ABI break for planner-related plugins in the 9.2 release series. This still breaks ABI for anything that calls query_planner directly, but it seems somewhat unlikely that there are any such plugins. I had originally conceived of this change as merely a step on the way to fixing bug #8049 from Teun Hoogendoorn; but it turns out that this fixes that bug all by itself, as per the added regression test. The reason is that now get_eclass_for_sort_expr is adding the ORDER BY expression at the end of EquivalenceClass creation not the start, and so anything that is in a multi-member EquivalenceClass has already been created with correct em_nullable_relids. I am suspicious that there are related scenarios in which we still need to teach get_eclass_for_sort_expr to compute correct nullable_relids, but am not eager to risk destabilizing either 9.2 or 9.3 to fix bugs that are only hypothetical. So for the moment, do this and stop here. Back-patch to 9.2 but not to earlier branches, since they don't exhibit this bug for lack of join-clause-movement logic that depends on em_nullable_relids being correct. (We might have to revisit that choice if any related bugs turn up.) In 9.2, don't change the signature of make_pathkeys_for_sortclauses nor remove canonicalize_pathkeys, so as not to risk more plugin breakage than we have to. |
13 years ago |
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9cbc4b80dd |
Redo postgres_fdw's planner code so it can handle parameterized paths.
I wasn't going to ship this without having at least some example of how to do that. This version isn't terribly bright; in particular it won't consider any combinations of multiple join clauses. Given the cost of executing a remote EXPLAIN, I'm not sure we want to be very aggressive about doing that, anyway. In support of this, refactor generate_implied_equalities_for_indexcol so that it can be used to extract equivalence clauses that aren't necessarily tied to an index. |
13 years ago |
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bd61a623ac |
Update copyrights for 2013
Fully update git head, and update back branches in ./COPYRIGHT and legal.sgml files. |
13 years ago |
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d3237e04ca |
Fix SELECT DISTINCT with index-optimized MIN/MAX on inheritance trees.
In a query such as "SELECT DISTINCT min(x) FROM tab", the DISTINCT is pretty useless (there being only one output row), but nonetheless it shouldn't fail. But it could fail if "tab" is an inheritance parent, because planagg.c's code for fixing up equivalence classes after making the index-optimized MIN/MAX transformation wasn't prepared to find child-table versions of the aggregate expression. The least ugly fix seems to be to add an option to mutate_eclass_expressions() to skip child-table equivalence class members, which aren't used anymore at this stage of planning so it's not really necessary to fix them. Since child members are ignored in many cases already, it seems plausible for mutate_eclass_expressions() to have an option to ignore them too. Per bug #7703 from Maxim Boguk. Back-patch to 9.1. Although the same code exists before that, it cannot encounter child-table aggregates AFAICS, because the index optimization transformation cannot succeed on inheritance trees before 9.1 (for lack of MergeAppend). |
13 years ago |
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77387f0ac8 |
Suppress creation of backwardly-indexed paths for LATERAL join clauses.
Given a query such as SELECT * FROM foo JOIN LATERAL (SELECT foo.var1) ss(x) ON ss.x = foo.var2 the existence of the join clause "ss.x = foo.var2" encourages indxpath.c to build a parameterized path for foo using any index available for foo.var2. This is completely useless activity, though, since foo has got to be on the outside not the inside of any nestloop join with ss. It's reasonably inexpensive to add tests that prevent creation of such paths, so let's do that. |
14 years ago |
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927d61eeff |
Run pgindent on 9.2 source tree in preparation for first 9.3
commit-fest. |
14 years ago |
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5b7b5518d0 |
Revise parameterized-path mechanism to fix assorted issues.
This patch adjusts the treatment of parameterized paths so that all paths with the same parameterization (same set of required outer rels) for the same relation will have the same rowcount estimate. We cache the rowcount estimates to ensure that property, and hopefully save a few cycles too. Doing this makes it practical for add_path_precheck to operate without a rowcount estimate: it need only assume that paths with different parameterizations never dominate each other, which is close enough to true anyway for coarse filtering, because normally a more-parameterized path should yield fewer rows thanks to having more join clauses to apply. In add_path, we do the full nine yards of comparing rowcount estimates along with everything else, so that we can discard parameterized paths that don't actually have an advantage. This fixes some issues I'd found with add_path rejecting parameterized paths on the grounds that they were more expensive than not-parameterized ones, even though they yielded many fewer rows and hence would be cheaper once subsequent joining was considered. To make the same-rowcounts assumption valid, we have to require that any parameterized path enforce *all* join clauses that could be obtained from the particular set of outer rels, even if not all of them are useful for indexing. This is required at both base scans and joins. It's a good thing anyway since the net impact is that join quals are checked at the lowest practical level in the join tree. Hence, discard the original rather ad-hoc mechanism for choosing parameterization joinquals, and build a better one that has a more principled rule for when clauses can be moved. The original rule was actually buggy anyway for lack of knowledge about which relations are part of an outer join's outer side; getting this right requires adding an outer_relids field to RestrictInfo. |
14 years ago |
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dd4134ea56 |
Revisit handling of UNION ALL subqueries with non-Var output columns.
In commit |
14 years ago |