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release-6-3
${ noResults }
1984 Commits (f5930f9a98ea65d659d41600a138e608988ad122)
| Author | SHA1 | Message | Date |
|---|---|---|---|
|
|
748e98d05b |
Fix code comment
The changes made in commit
|
11 months ago |
|
|
eec0040c4b |
Add support for NOT ENFORCED in foreign key constraints
This expands the NOT ENFORCED constraint flag, previously only
supported for CHECK constraints (commit
|
11 months ago |
|
|
cdc168ad4b |
Add support for not-null constraints on virtual generated columns
This was left out of the original patch for virtual generated columns
(commit
|
11 months ago |
|
|
9a9ead1105 |
Rename a node field for clarity
Rename ResultRelInfo.ri_ConstraintExprs to ri_CheckConstraintExprs. This reflects its specific purpose better and avoids confusion with adjacent fields with similar but distinct purposes. Discussion: https://postgr.es/m/CACJufxHArQysbDkWFmvK+D1TPHQWWTxWN15cMuUaTYX3xhQXgg@mail.gmail.com |
11 months ago |
|
|
9fbd53dea5
|
Remove the query_id_squash_values GUC
Commit
|
11 months ago |
|
|
f31aad9b07 |
Fix query jumbling to account for NULL nodes
Previously NULL nodes were ignored. This could cause issues where the computed query ID could match for queries where fields that are next to each other in their Node struct where one field was NULL and the other non-NULL. For example, the Query struct had distinctClause and sortClause next to each other. If someone wrote; SELECT DISTINCT c1 FROM t; and then; SELECT c1 FROM t ORDER BY c1; these would produce the same query ID since, in the first query, we ignored the NULL sortClause and appended the jumble bytes for the distictClause. In the latter query, since we did nothing for the NULL distinctClause then jumble the non-NULL sortClause, and since the node representation stored is the same in both cases, the query IDs were identical. Here we fix this by always accounting for NULL nodes by recording that we saw a NULL in the jumble buffer. This fixes the issue as the order that the NULL is recorded isn't the same in the above two queries. Author: Bykov Ivan <i.bykov@modernsys.ru> Author: Michael Paquier <michael@paquier.xyz> Author: David Rowley <dgrowleyml@gmail.com> Discussion: https://postgr.es/m/aafce7966e234372b2ba876c0193f1e9%40localhost.localdomain |
11 months ago |
|
|
787514b30b |
Use relation name instead of OID in query jumbling for RangeTblEntry
custom_query_jumble (introduced in |
11 months ago |
|
|
5ac462e2b7 |
Add support for custom_query_jumble as a node field attribute
This option gives the possibility for query jumble to define a custom
routine for the field of a Node, extending support for
custom_query_jumble as a node field attribute. When dealing with
complex node structures, this can be simpler than having to enforce a
custom function across a full node.
Custom functions need to be defined in queryjumblefuncs.c, named as
_jumble${node}_${field}(), and use in input the JumbleState, the node
and its field. The field is not really required if we have the Node,
but it makes custom implementations somewhat easier to think about. The
code generated by gen_node_support.pl uses a macro called
JUMBLE_CUSTOM(), hiding the internals of the logic inside
queryjumblefuncs.c.
This will be used by an upcoming patch manipulating adding a custom
routine into a field of RangeTblEntry, but this facility can become
useful in more cases.
Reviewed-by: Christoph Berg <myon@debian.org>
Discussion: https://postgr.es/m/Z9y43-dRvb4EtxQ0@paquier.xyz
|
11 months ago |
|
|
626df47ad9 |
Remove 'additional' pointer from TupleHashEntryData.
Reduces memory required for hash aggregation by avoiding an allocation and a pointer in the TupleHashEntryData structure. That structure is used for all buckets, whether occupied or not, so the savings is substantial. Discussion: https://postgr.es/m/AApHDvpN4v3t_sdz4dvrv1Fx_ZPw=twSnxuTEytRYP7LFz5K9A@mail.gmail.com Reviewed-by: David Rowley <dgrowleyml@gmail.com> |
11 months ago |
|
|
4d143509cb |
Create accessor functions for TupleHashEntry.
Refactor for upcoming optimizations. Reviewed-by: David Rowley <dgrowleyml@gmail.com> Discussion: https://postgr.es/m/1cc3b400a0e8eead18ff967436fa9e42c0c14cfb.camel@j-davis.com |
11 months ago |
|
|
cc721c459d |
HashAgg: use Bump allocator for hash TupleHashTable entries.
The entries aren't freed until the entire hash table is destroyed, so use the Bump allocator to improve allocation speed, avoid wasting space on the chunk header, and avoid wasting space due to the power-of-two allocations. Discussion: https://postgr.es/m/CAApHDvqv1aNB4cM36FzRwivXrEvBO_LsG_eQ3nqDXTjECaatOQ@mail.gmail.com Reviewed-by: David Rowley |
11 months ago |
|
|
2a0cd38da5 |
Allow plugins to set a 64-bit plan identifier in PlannedStmt
This field can be optionally set in a PlannedStmt through the planner hook, giving extensions the possibility to assign an identifier related to a computed plan. The backend is changed to report it in the backend entry of a process running (including the extended query protocol), with semantics and APIs to set or get it similar to what is used for the existing query ID (introduced in the backend via |
11 months ago |
|
|
28317de723 |
Ensure first ModifyTable rel initialized if all are pruned
Commit
|
11 months ago |
|
|
62d712ecfd
|
Introduce squashing of constant lists in query jumbling
pg_stat_statements produces multiple entries for queries like
SELECT something FROM table WHERE col IN (1, 2, 3, ...)
depending on the number of parameters, because every element of
ArrayExpr is individually jumbled. Most of the time that's undesirable,
especially if the list becomes too large.
Fix this by introducing a new GUC query_id_squash_values which modifies
the node jumbling code to only consider the first and last element of a
list of constants, rather than each list element individually. This
affects both the query_id generated by query jumbling, as well as
pg_stat_statements query normalization so that it suppresses printing of
the individual elements of such a list.
The default value is off, meaning the previous behavior is maintained.
Author: Dmitry Dolgov <9erthalion6@gmail.com>
Reviewed-by: Sergey Dudoladov (mysterious, off-list)
Reviewed-by: David Geier <geidav.pg@gmail.com>
Reviewed-by: Robert Haas <robertmhaas@gmail.com>
Reviewed-by: Álvaro Herrera <alvherre@alvh.no-ip.org>
Reviewed-by: Sami Imseih <samimseih@gmail.com>
Reviewed-by: Sutou Kouhei <kou@clear-code.com>
Reviewed-by: Tom Lane <tgl@sss.pgh.pa.us>
Reviewed-by: Michael Paquier <michael@paquier.xyz>
Reviewed-by: Marcos Pegoraro <marcos@f10.com.br>
Reviewed-by: Julien Rouhaud <rjuju123@gmail.com>
Reviewed-by: Zhihong Yu <zyu@yugabyte.com>
Tested-by: Yasuo Honda <yasuo.honda@gmail.com>
Tested-by: Sergei Kornilov <sk@zsrv.org>
Tested-by: Maciek Sakrejda <m.sakrejda@gmail.com>
Tested-by: Chengxi Sun <sunchengxi@highgo.com>
Tested-by: Jakub Wartak <jakub.wartak@enterprisedb.com>
Discussion: https://postgr.es/m/CA+q6zcWtUbT_Sxj0V6HY6EZ89uv5wuG5aefpe_9n0Jr3VwntFg@mail.gmail.com
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11 months ago |
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c65bc2e1d1 |
Make it possible for loadable modules to add EXPLAIN options.
Modules can use RegisterExtensionExplainOption to register new EXPLAIN options, and GetExplainExtensionId, GetExplainExtensionState, and SetExplainExtensionState to store related state inside the ExplainState object. Since this substantially increases the amount of code that needs to handle ExplainState-related tasks, move a few bits of existing code to a new file explain_state.c and add the rest of this infrastructure there. See the comments at the top of explain_state.c for further explanation of how this mechanism works. This does not yet provide a way for such such options to do anything useful. The intention is that we'll add hooks for that purpose in a separate commit. Discussion: http://postgr.es/m/CA+TgmoYSzg58hPuBmei46o8D3SKX+SZoO4K_aGQGwiRzvRApLg@mail.gmail.com Reviewed-by: Srinath Reddy <srinath2133@gmail.com> Reviewed-by: Andrei Lepikhov <lepihov@gmail.com> Reviewed-by: Tom Lane <tgl@sss.pgh.pa.us> Reviewed-by: Sami Imseih <samimseih@gmail.com> |
11 months ago |
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2b73a8cd33 |
BitmapHeapScan uses the read stream API
Make Bitmap Heap Scan use the read stream API instead of invoking ReadBuffer() for each block indicated by the bitmap. The read stream API handles prefetching, so remove all of the explicit prefetching from bitmap heap scan code. Now, heap table AM implements a read stream callback which uses the bitmap iterator to return the next required block to the read stream code. Tomas Vondra conducted extensive regression testing of this feature. Andres Freund, Thomas Munro, and I analyzed regressions and Thomas Munro patched the read stream API. Author: Melanie Plageman <melanieplageman@gmail.com> Reviewed-by: Tomas Vondra <tomas@vondra.me> Tested-by: Tomas Vondra <tomas@vondra.me> Tested-by: Andres Freund <andres@anarazel.de> Tested-by: Thomas Munro <thomas.munro@gmail.com> Tested-by: Nazir Bilal Yavuz <byavuz81@gmail.com> Discussion: https://postgr.es/m/flat/CAAKRu_ZwCwWFeL_H3ia26bP2e7HiKLWt0ZmGXPVwPO6uXq0vaA%40mail.gmail.com |
12 months ago |
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944e81bf99 |
Separate TBM[Shared|Private]Iterator and TBMIterateResult
Remove the TBMIterateResult member from the TBMPrivateIterator and TBMSharedIterator and make tbm_[shared|private_]iterate() take a TBMIterateResult as a parameter. This allows tidbitmap API users to manage multiple TBMIterateResults per scan. This is required for bitmap heap scan to use the read stream API, with which there may be multiple I/Os in flight at once, each one with a TBMIterateResult. Reviewed-by: Tomas Vondra <tomas@vondra.me> Discussion: https://postgr.es/m/d4bb26c9-fe07-439e-ac53-c0e244387e01%40vondra.me |
12 months ago |
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05cbd6cb22 |
Swap order of extern/static and pg_nodiscard
When pg_nodiscard was first added, the C standard draft had it as a function specifier, and so the code comment about placement was written with that in mind. The final C23 standard has it as an attribute and the placement rules are a bit different for that. Specifically, it needs to be before extern or static. (Or at least both current clang and gcc require that.) So just swap these. (To be clear: The current implementation with gcc attributes doesn't care. This change is just for maximum forward compatibility for non-gcc compilers.) This also keeps the order consistent with the previously introduced pg_noreturn. Also update the code comment to reflect the mentioned developments since its introduction. Reviewed-by: Dagfinn Ilmari Mannsåker <ilmari@ilmari.org> Reviewed-by: Andres Freund <andres@anarazel.de> Discussion: https://www.postgresql.org/message-id/flat/pxr5b3z7jmkpenssra5zroxi7qzzp6eswuggokw64axmdixpnk@zbwxuq7gbbcw |
12 months ago |
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8b1b342544 |
Improve EXPLAIN's display of window functions.
Up to now we just punted on showing the window definitions used in a plan, with window function calls represented as "OVER (?)". To improve that, show the window definition implemented by each WindowAgg plan node, and reference their window names in OVER. For nameless window clauses generated by "OVER (...)", assign unique names w1, w2, etc. In passing, re-order the properties shown for a WindowAgg node so that the Run Condition (if any) appears after the Window property and before the Filter (if any). This seems more sensible since the Run Condition is associated with the Window and acts before the Filter. Thanks to David G. Johnston and Álvaro Herrera for design suggestions. Author: Tom Lane <tgl@sss.pgh.pa.us> Reviewed-by: David Rowley <dgrowleyml@gmail.com> Discussion: https://postgr.es/m/144530.1741469955@sss.pgh.pa.us |
12 months ago |
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0fbceae841 |
Show index search count in EXPLAIN ANALYZE, take 2.
Expose the count of index searches/index descents in EXPLAIN ANALYZE's output for index scan/index-only scan/bitmap index scan nodes. This information is particularly useful with scans that use ScalarArrayOp quals, where the number of index searches can be unpredictable due to implementation details that interact with physical index characteristics (at least with nbtree SAOP scans, since Postgres 17 commit |
12 months ago |
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f4e53e10b6
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Add ALTER TABLE ... ALTER CONSTRAINT ... SET [NO] INHERIT
This allows to redefine an existing non-inheritable constraint to be inheritable, which allows to straighten up situations with NO INHERIT constraints so that thay can become normal constraints without having to re-verify existing data. For existing inheritance children this may require creating additional constraints, if they don't exist already. It also allows to do the opposite, if only for symmetry. Author: Suraj Kharage <suraj.kharage@enterprisedb.com> Reviewed-by: jian he <jian.universality@gmail.com> Discussion: https://postgr.es/m/CAF1DzPVfOW6Kk=7SSh7LbneQDJWh=PbJrEC_Wkzc24tHOyQWGg@mail.gmail.com |
12 months ago |
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1e4351af32 |
Expand virtual generated columns in the planner
Commit
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1 year ago |
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bfe56cdf9a |
Delay extraction of TIDBitmap per page offsets
Pages from the bitmap created by the TIDBitmap API can be exact or lossy. The TIDBitmap API extracts the tuple offsets from exact pages into an array for the convenience of the caller. This was done in tbm_private|shared_iterate() right after advancing the iterator. However, as long as tbm_private|shared_iterate() set a reference to the PagetableEntry in the TBMIterateResult, the offset extraction can be done later. Waiting to extract the tuple offsets has a few benefits. For the shared iterator case, it allows us to extract the offsets after dropping the shared iterator state lock, reducing time spent holding a contended lock. Separating the iteration step and extracting the offsets later also allows us to avoid extracting the offsets for prefetched blocks. Those offsets were never used, so the overhead of extracting and storing them was wasted. The real motivation for this change, however, is that future commits will make bitmap heap scan use the read stream API. This requires a TBMIterateResult per issued block. By removing the array of tuple offsets from the TBMIterateResult and only extracting the offsets when they are used, we reduce the memory required for per buffer data substantially. Suggested-by: Thomas Munro <thomas.munro@gmail.com> Reviewed-by: Thomas Munro <thomas.munro@gmail.com> Discussion: https://postgr.es/m/CA%2BhUKGLHbKP3jwJ6_%2BhnGi37Pw3BD5j2amjV3oSk7j-KyCnY7Q%40mail.gmail.com |
1 year ago |
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b8778c4cd8 |
Add lossy indicator to TBMIterateResult
TBMIterateResult->ntuples is -1 when the page in the bitmap is lossy. Add an explicit lossy indicator so that we can move ntuples out of the TBMIterateResult in a future commit. Discussion: https://postgr.es/m/CA%2BhUKGLHbKP3jwJ6_%2BhnGi37Pw3BD5j2amjV3oSk7j-KyCnY7Q%40mail.gmail.com |
1 year ago |
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525392d572 |
Don't lock partitions pruned by initial pruning
Before executing a cached generic plan, AcquireExecutorLocks() in plancache.c locks all relations in a plan's range table to ensure the plan is safe for execution. However, this locks runtime-prunable relations that will later be pruned during "initial" runtime pruning, introducing unnecessary overhead. This commit defers locking for such relations to executor startup and ensures that if the CachedPlan is invalidated due to concurrent DDL during this window, replanning is triggered. Deferring these locks avoids unnecessary locking overhead for pruned partitions, resulting in significant speedup, particularly when many partitions are pruned during initial runtime pruning. * Changes to locking when executing generic plans: AcquireExecutorLocks() now locks only unprunable relations, that is, those found in PlannedStmt.unprunableRelids (introduced in commit |
1 year ago |
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80d7f99049
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Add ATAlterConstraint struct for ALTER .. CONSTRAINT
Replace the use of Constraint with a new ATAlterConstraint struct, which allows us to pass additional information. No functionality is added by this commit. This is necessary for future work that allows altering constraints in other ways. I (Álvaro) took the liberty of restructuring the code for ALTER CONSTRAINT beyond what Amul did. The original coding before Amul's patch was unnecessarily baroque, and this change makes things simpler by removing one level of subroutine. Also, partly remove the assumption that only partitioned tables are relevant (by passing sensible 'recurse' arguments) and no longer ignore whether ONLY was specified. I say 'partly' because the current coding only walks down via the 'conparentid' relationship, which is only used for partitioned tables; but future patches could handle ONLY or not for other types of constraint changes for legacy inheritance trees too. Author: Amul Sul <sulamul@gmail.com> Author: Álvaro Herrera <alvherre@alvh.no-ip.org> Discussion: https://postgr.es/m/CAAJ_b94bfgPV-8Mw_HwSBeheVwaK9=5s+7+KbBj_NpwXQFgDGg@mail.gmail.com |
1 year ago |
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fc069a3a63 |
Implement Self-Join Elimination
The Self-Join Elimination (SJE) feature removes an inner join of a plain
table to itself in the query tree if it is proven that the join can be
replaced with a scan without impacting the query result. Self-join and
inner relation get replaced with the outer in query, equivalence classes,
and planner info structures. Also, the inner restrictlist moves to the
outer one with the removal of duplicated clauses. Thus, this optimization
reduces the length of the range table list (this especially makes sense for
partitioned relations), reduces the number of restriction clauses and,
in turn, selectivity estimations, and potentially improves total planner
prediction for the query.
This feature is dedicated to avoiding redundancy, which can appear after
pull-up transformations or the creation of an EquivalenceClass-derived clause
like the below.
SELECT * FROM t1 WHERE x IN (SELECT t3.x FROM t1 t3);
SELECT * FROM t1 WHERE EXISTS (SELECT t3.x FROM t1 t3 WHERE t3.x = t1.x);
SELECT * FROM t1,t2, t1 t3 WHERE t1.x = t2.x AND t2.x = t3.x;
In the future, we could also reduce redundancy caused by subquery pull-up
after unnecessary outer join removal in cases like the one below.
SELECT * FROM t1 WHERE x IN
(SELECT t3.x FROM t1 t3 LEFT JOIN t2 ON t2.x = t1.x);
Also, it can drastically help to join partitioned tables, removing entries
even before their expansion.
The SJE proof is based on innerrel_is_unique() machinery.
We can remove a self-join when for each outer row:
1. At most, one inner row matches the join clause;
2. Each matched inner row must be (physically) the same as the outer one;
3. Inner and outer rows have the same row mark.
In this patch, we use the next approach to identify a self-join:
1. Collect all merge-joinable join quals which look like a.x = b.x;
2. Add to the list above the baseretrictinfo of the inner table;
3. Check innerrel_is_unique() for the qual list. If it returns false, skip
this pair of joining tables;
4. Check uniqueness, proved by the baserestrictinfo clauses. To prove the
possibility of self-join elimination, the inner and outer clauses must
match exactly.
The relation replacement procedure is not trivial and is partly combined
with the one used to remove useless left joins. Tests covering this feature
were added to join.sql. Some of the existing regression tests changed due
to self-join removal logic.
Discussion: https://postgr.es/m/flat/64486b0b-0404-e39e-322d-0801154901f3%40postgrespro.ru
Author: Andrey Lepikhov <a.lepikhov@postgrespro.ru>
Author: Alexander Kuzmenkov <a.kuzmenkov@postgrespro.ru>
Co-authored-by: Alexander Korotkov <aekorotkov@gmail.com>
Co-authored-by: Alena Rybakina <lena.ribackina@yandex.ru>
Reviewed-by: Tom Lane <tgl@sss.pgh.pa.us>
Reviewed-by: Robert Haas <robertmhaas@gmail.com>
Reviewed-by: Andres Freund <andres@anarazel.de>
Reviewed-by: Simon Riggs <simon@2ndquadrant.com>
Reviewed-by: Jonathan S. Katz <jkatz@postgresql.org>
Reviewed-by: David Rowley <david.rowley@2ndquadrant.com>
Reviewed-by: Thomas Munro <thomas.munro@enterprisedb.com>
Reviewed-by: Konstantin Knizhnik <k.knizhnik@postgrespro.ru>
Reviewed-by: Heikki Linnakangas <hlinnaka@iki.fi>
Reviewed-by: Hywel Carver <hywel@skillerwhale.com>
Reviewed-by: Laurenz Albe <laurenz.albe@cybertec.at>
Reviewed-by: Ronan Dunklau <ronan.dunklau@aiven.io>
Reviewed-by: vignesh C <vignesh21@gmail.com>
Reviewed-by: Zhihong Yu <zyu@yugabyte.com>
Reviewed-by: Greg Stark <stark@mit.edu>
Reviewed-by: Jaime Casanova <jcasanov@systemguards.com.ec>
Reviewed-by: Michał Kłeczek <michal@kleczek.org>
Reviewed-by: Alena Rybakina <lena.ribackina@yandex.ru>
Reviewed-by: Alexander Korotkov <aekorotkov@gmail.com>
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1 year ago |
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75dfde1363 |
Fix an oversight in cbc127917 to handle MERGE correctly
ExecInitModifyTable() forgot to trim MERGE-related lists to exclude entries for result relations pruned during initial pruning, so fix that. While at it, make the function's use of the pruned resultRelations list, rather than ModifyTable.resultRelations, more consistent. Reported-by: Alexander Lakhin <exclusion@gmail.com> (via sqlsmith) Reviewed-by: Junwang Zhao <zhjwpku@gmail.com> Discussion: https://postgr.es/m/e72c94d9-e5f9-4753-9bc1-69d72bd54b8a@gmail.com |
1 year ago |
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c366d2bdba |
Allow extension functions to participate in in-place updates.
Commit
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1 year ago |
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c9238ad853 |
Fix indentation of comment in plannodes.h
Oversight in commit
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1 year ago |
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3d17d7d7fb |
Reformat node comments in plannodes.h
This is similar to
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1 year ago |
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83ea6c5402 |
Virtual generated columns
This adds a new variant of generated columns that are computed on read
(like a view, unlike the existing stored generated columns, which are
computed on write, like a materialized view).
The syntax for the column definition is
... GENERATED ALWAYS AS (...) VIRTUAL
and VIRTUAL is also optional. VIRTUAL is the default rather than
STORED to match various other SQL products. (The SQL standard makes
no specification about this, but it also doesn't know about VIRTUAL or
STORED.) (Also, virtual views are the default, rather than
materialized views.)
Virtual generated columns are stored in tuples as null values. (A
very early version of this patch had the ambition to not store them at
all. But so much stuff breaks or gets confused if you have tuples
where a column in the middle is completely missing. This is a
compromise, and it still saves space over being forced to use stored
generated columns. If we ever find a way to improve this, a bit of
pg_upgrade cleverness could allow for upgrades to a newer scheme.)
The capabilities and restrictions of virtual generated columns are
mostly the same as for stored generated columns. In some cases, this
patch keeps virtual generated columns more restricted than they might
technically need to be, to keep the two kinds consistent. Some of
that could maybe be relaxed later after separate careful
considerations.
Some functionality that is currently not supported, but could possibly
be added as incremental features, some easier than others:
- index on or using a virtual column
- hence also no unique constraints on virtual columns
- extended statistics on virtual columns
- foreign-key constraints on virtual columns
- not-null constraints on virtual columns (check constraints are supported)
- ALTER TABLE / DROP EXPRESSION
- virtual column cannot have domain type
- virtual columns are not supported in logical replication
The tests in generated_virtual.sql have been copied over from
generated_stored.sql with the keyword replaced. This way we can make
sure the behavior is mostly aligned, and the differences can be
visible. Some tests for currently not supported features are
currently commented out.
Reviewed-by: Jian He <jian.universality@gmail.com>
Reviewed-by: Dean Rasheed <dean.a.rasheed@gmail.com>
Tested-by: Shlok Kyal <shlok.kyal.oss@gmail.com>
Discussion: https://www.postgresql.org/message-id/flat/a368248e-69e4-40be-9c07-6c3b5880b0a6@eisentraut.org
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1 year ago |
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cbc127917e |
Track unpruned relids to avoid processing pruned relations
This commit introduces changes to track unpruned relations explicitly, making it possible for top-level plan nodes, such as ModifyTable and LockRows, to avoid processing partitions pruned during initial pruning. Scan-level nodes, such as Append and MergeAppend, already avoid the unnecessary processing by accessing partition pruning results directly via part_prune_index. In contrast, top-level nodes cannot access pruning results directly and need to determine which partitions remain unpruned. To address this, this commit introduces a new bitmapset field, es_unpruned_relids, which the executor uses to track the set of unpruned relations. This field is referenced during plan initialization to skip initializing certain nodes for pruned partitions. It is initialized with PlannedStmt.unprunableRelids, a new field that the planner populates with RT indexes of relations that cannot be pruned during runtime pruning. These include relations not subject to partition pruning and those required for execution regardless of pruning. PlannedStmt.unprunableRelids is computed during set_plan_refs() by removing the RT indexes of runtime-prunable relations, identified from PartitionPruneInfos, from the full set of relation RT indexes. ExecDoInitialPruning() then updates es_unpruned_relids by adding partitions that survive initial pruning. To support this, PartitionedRelPruneInfo and PartitionedRelPruningData now include a leafpart_rti_map[] array that maps partition indexes to their corresponding RT indexes. The former is used in set_plan_refs() when constructing unprunableRelids, while the latter is used in ExecDoInitialPruning() to convert partition indexes returned by get_matching_partitions() into RT indexes, which are then added to es_unpruned_relids. These changes make it possible for ModifyTable and LockRows nodes to process only relations that remain unpruned after initial pruning. ExecInitModifyTable() trims lists, such as resultRelations, withCheckOptionLists, returningLists, and updateColnosLists, to consider only unpruned partitions. It also creates ResultRelInfo structs only for these partitions. Similarly, child RowMarks for pruned relations are skipped. By avoiding unnecessary initialization of structures for pruned partitions, these changes improve the performance of updates and deletes on partitioned tables during initial runtime pruning. Due to ExecInitModifyTable() changes as described above, EXPLAIN on a plan for UPDATE and DELETE that uses runtime initial pruning no longer lists partitions pruned during initial pruning. Reviewed-by: Robert Haas <robertmhaas@gmail.com> (earlier versions) Reviewed-by: Tomas Vondra <tomas@vondra.me> Discussion: https://postgr.es/m/CA+HiwqFGkMSge6TgC9KQzde0ohpAycLQuV7ooitEEpbKB0O_mg@mail.gmail.com |
1 year ago |
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119fc30dd5 |
Move CompareType to separate header file
We'll want to make use of it in more places, and we'd prefer to not have to include all of primnodes.h everywhere. Author: Mark Dilger <mark.dilger@enterprisedb.com> Reviewed-by: Peter Eisentraut <peter@eisentraut.org> Discussion: https://www.postgresql.org/message-id/flat/E72EAA49-354D-4C2E-8EB9-255197F55330@enterprisedb.com |
1 year ago |
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041e8b95b8 |
Get rid of our dependency on type "long" for memory size calculations.
Consistently use "Size" (or size_t, or in some places int64 or double) as the type for variables holding memory allocation sizes. In most places variables' data types were fine already, but we had an ancient habit of computing bytes from kilobytes-units GUCs with code like "work_mem * 1024L". That risks overflow on Win64 where they did not make "long" as wide as "size_t". We worked around that by restricting such GUCs' ranges, so you couldn't set work_mem et al higher than 2GB on Win64. This patch removes that restriction, after replacing such calculations with "work_mem * (Size) 1024" or variants of that. It should be noted that this patch was constructed by searching outwards from the GUCs that have MAX_KILOBYTES as upper limit. So I can't positively guarantee there are no other places doing memory-size arithmetic in int or long variables. I do however feel pretty confident that increasing MAX_KILOBYTES on Win64 is safe now. Also, nothing in our code should be dealing in multiple-gigabyte allocations without authorization from a relevant GUC, so it seems pretty likely that this search caught everything that could be at risk of overflow. Author: Vladlen Popolitov <v.popolitov@postgrespro.ru> Co-authored-by: Tom Lane <tgl@sss.pgh.pa.us> Discussion: https://postgr.es/m/1a01f0-66ec2d80-3b-68487680@27595217 |
1 year ago |
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d47cbf474e |
Perform runtime initial pruning outside ExecInitNode()
This commit builds on the prior change that moved PartitionPruneInfos out of individual plan nodes into a list in PlannedStmt, making it possible to initialize PartitionPruneStates without traversing the plan tree and perform runtime initial pruning before ExecInitNode() initializes the plan trees. These tasks are now handled in a new routine, ExecDoInitialPruning(), which is called by InitPlan() before calling ExecInitNode() on various plan trees. ExecDoInitialPruning() performs the initial pruning and saves the result -- a Bitmapset of indexes for surviving child subnodes -- in es_part_prune_results, a list in EState. PartitionPruneStates created for initial pruning are stored in es_part_prune_states, another list in EState, for later use during exec pruning. Both lists are parallel to es_part_prune_infos, which holds the PartitionPruneInfos from PlannedStmt, enabling shared indexing. PartitionPruneStates initialized in ExecDoInitialPruning() now include only the PartitionPruneContexts for initial pruning steps. Exec pruning contexts are initialized later in ExecInitPartitionExecPruning() when the parent plan node is initialized, as the exec pruning step expressions depend on the parent node's PlanState. The existing function PartitionPruneFixSubPlanMap() has been repurposed for this initialization to avoid duplicating a similar loop structure for finding PartitionedRelPruningData to initialize exec pruning contexts for. It has been renamed to InitExecPruningContexts() to reflect its new primary responsibility. The original logic to "fix subplan maps" remains intact but is now encapsulated within the renamed function. This commit removes two obsolete Asserts in partkey_datum_from_expr(). The ExprContext used for pruning expression evaluation is now independent of the parent PlanState, making these Asserts unnecessary. By centralizing pruning logic and decoupling it from the plan initialization step (ExecInitNode()), this change sets the stage for future patches that will use the result of initial pruning to save the overhead of redundant processing for pruned partitions. Reviewed-by: Robert Haas <robertmhaas@gmail.com> Reviewed-by: Tomas Vondra <tomas@vondra.me> Discussion: https://postgr.es/m/CA+HiwqFGkMSge6TgC9KQzde0ohpAycLQuV7ooitEEpbKB0O_mg@mail.gmail.com |
1 year ago |
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bb3ec16e14 |
Move PartitionPruneInfo out of plan nodes into PlannedStmt
This moves PartitionPruneInfo from plan nodes to PlannedStmt, simplifying traversal by centralizing all PartitionPruneInfo structures in a single list in it, which holds all instances for the main query and its subqueries. Instead of plan nodes (Append or MergeAppend) storing PartitionPruneInfo pointers, they now reference an index in this list. A bitmapset field is added to PartitionPruneInfo to store the RT indexes corresponding to the apprelids field in Append or MergeAppend. This allows execution pruning logic to verify that it operates on the correct plan node, mainly to facilitate debugging. Duplicated code in set_append_references() and set_mergeappend_references() is refactored into a new function, register_pruneinfo(). This updates RT indexes by applying rtoffet and adds PartitionPruneInfo to the global list in PlannerGlobal. By allowing pruning to be performed without traversing the plan tree, this change lays the groundwork for runtime initial pruning to occur independently of plan tree initialization. Reviewed-by: Alvaro Herrera <alvherre@alvh.no-ip.org> (earlier version) Reviewed-by: Robert Haas <robertmhaas@gmail.com> Reviewed-by: Tomas Vondra <tomas@vondra.me> Discussion: https://postgr.es/m/CA+HiwqFGkMSge6TgC9KQzde0ohpAycLQuV7ooitEEpbKB0O_mg@mail.gmail.com |
1 year ago |
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128897b101 |
Fix grammatical typos around possessive "its"
Some places spelled it "it's", which is short for "it is". In passing, fix a couple other nearby grammatical errors. Author: Jacob Brazeal <jacob.brazeal@gmail.com> Discussion: https://postgr.es/m/CA+COZaAO8g1KJCV0T48=CkJMjAnnfTGLWOATz+2aCh40c2Nm+g@mail.gmail.com |
1 year 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 |
1 year ago |
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630f9a43ce |
Change gist stratnum function to use CompareType
This changes commit
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1 year ago |
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6339f6468e |
Rename RowCompareType to CompareType
RowCompareType served as a way to describe the fundamental meaning of an operator, notionally independent of an operator class (although so far this was only really supported for btrees). Its original purpose was for use inside RowCompareExpr, and it has also found some small use outside, such as for get_op_btree_interpretation(). We want to expand this now, as a more general way to describe operator semantics for other index access methods, including gist (to improve GistTranslateStratnum()) and others not written yet. To avoid future confusion, we rename the type to CompareType and the symbols from ROWCOMPARE_XXX to COMPARE_XXX to reflect their more general purpose. Reviewed-by: Mark Dilger <mark.dilger@enterprisedb.com> Discussion: https://www.postgresql.org/message-id/flat/E72EAA49-354D-4C2E-8EB9-255197F55330@enterprisedb.com |
1 year ago |
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b4a07f532b |
Revert "TupleHashTable: store additional data along with tuple."
This reverts commit
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1 year ago |
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6e826278f1 |
Fix pgindent damage
Oversight in commit
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1 year ago |
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ca87c415e2 |
Add support for NOT ENFORCED in CHECK constraints
This adds support for the NOT ENFORCED/ENFORCED flag for constraints, with support for check constraints. The plan is to eventually support this for foreign key constraints, where it is typically more useful. Note that CHECK constraints do not currently support ALTER operations, so changing the enforceability of an existing constraint isn't possible without dropping and recreating it. This could be added later. Author: Amul Sul <amul.sul@enterprisedb.com> Reviewed-by: Peter Eisentraut <peter@eisentraut.org> Reviewed-by: jian he <jian.universality@gmail.com> Tested-by: Triveni N <triveni.n@enterprisedb.com> Discussion: https://www.postgresql.org/message-id/flat/CAAJ_b962c5AcYW9KUt_R_ER5qs3fUGbe4az-SP-vuwPS-w-AGA@mail.gmail.com |
1 year ago |
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e0ece2a981 |
TupleHashTable: store additional data along with tuple.
Previously, the caller needed to allocate the memory and the TupleHashTable would store a pointer to it. That wastes space for the palloc overhead as well as the size of the pointer itself. Now, the TupleHashTable relies on the caller to correctly specify the additionalsize, and allocates that amount of space. The caller can then request a pointer into that space. Discussion: https://postgr.es/m/b9cbf0219a9859dc8d240311643ff4362fd9602c.camel@j-davis.com Reviewed-by: Heikki Linnakangas |
1 year ago |
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8a96faedc4 |
Remove unused TupleHashTableData->entrysize.
Discussion: https://postgr.es/m/7530bd8783b1a78d53a3c70383e38d8da0a5ffe5.camel%40j-davis.com |
1 year ago |
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50e6eb731d |
Update copyright for 2025
Backpatch-through: 13 |
1 year ago |
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2762792952 |
Convert SetOp to read its inputs as outerPlan and innerPlan.
The original design for set operations involved appending the two input relations into one and adding a flag column that allows distinguishing which side each row came from. Then the SetOp node pries them apart again based on the flag. This is bizarre. The only apparent reason to do it is that when sorting, we'd only need one Sort node not two. But since sorting is at least O(N log N), sorting all the data is actually worse than sorting each side separately --- plus, we have no chance of taking advantage of presorted input. On top of that, adding the flag column frequently requires an additional projection step that adds cycles, and then the Append node isn't free either. Let's get rid of all of that and make the SetOp node have two separate children, using the existing outerPlan/innerPlan infrastructure. This initial patch re-implements nodeSetop.c and does a bare minimum of work on the planner side to generate correctly-shaped plans. In particular, I've tried not to change the cost estimates here, so that the visible changes in the regression test results will only involve removal of useless projection steps and not any changes in whether to use sorted vs hashed mode. For SORTED mode, we combine successive identical tuples from each input into groups, and then merge-join the groups. The tuple comparisons now use SortSupport instead of simple equality, but the group-formation part should involve roughly the same number of tuple comparisons as before. The cross-comparisons between left and right groups probably add to that, but I'm not sure to quantify how many more comparisons we might need. For HASHED mode, nodeSetop's logic is almost the same as before, just refactored into two separate loops instead of one loop that has an assumption that it will see all the left-hand inputs first. In both modes, I added early-exit logic to not bother reading the right-hand relation if the left-hand input is empty, since neither INTERSECT nor EXCEPT modes can produce any output if the left input is empty. This could have been done before in the hashed mode, but not in sorted mode. Sorted mode can also stop as soon as it exhausts the left input; any remaining right-hand tuples cannot have matches. Also, this patch adds some infrastructure for detecting whether child plan nodes all output the same type of tuple table slot. If they do, the hash table logic can use slightly more efficient code based on assuming that that's the input slot type it will see. We'll make use of that infrastructure in other plan node types later. Patch by me; thanks to Richard Guo and David Rowley for review. Discussion: https://postgr.es/m/1850138.1731549611@sss.pgh.pa.us |
1 year ago |
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1a0da347a7 |
Bitmap Table Scans use unified TBMIterator
With the repurposing of TBMIterator as an interface for both parallel
and serial iteration through TIDBitmaps in commit
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1 year ago |
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7f9d4187e7 |
Add common interface for TBMIterators
Add and use TBMPrivateIterator, which replaces the current TBMIterator
for serial use cases, and repurpose TBMIterator to be a unified
interface for both the serial ("private") and parallel ("shared") TID
Bitmap iterator interfaces. This encapsulation simplifies call sites for
callers supporting both parallel and serial TID Bitmap access.
TBMIterator is not yet used in this commit.
Author: Melanie Plageman
Reviewed-by: Tomas Vondra, Heikki Linnakangas
Discussion: https://postgr.es/m/063e4eb4-32d9-439e-a0b1-75565a9835a8%40iki.fi
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1 year ago |