This commit fixes failures with "tuple already updated by self" when
listing twice the same role and in a DROP ROLE query.
This is an oversight in 6566133c5f, that has introduced a two-phase
logic in DropRole() where dependencies of all the roles to drop are
removed in a first phase, with the roles themselves removed from
pg_authid in a second phase.
The code is simplified to not rely on a List of ObjectAddress built in
the first phase used to remove the pg_authid entries in the second
phase, switching to a list of OIDs. Duplicated OIDs can be simply
avoided in the first phase thanks to that. Using ObjectAddress was not
necessary for the roles as they are not used for anything specific to
dependency.c, building all the ObjectAddress in the List with
AuthIdRelationId as class ID.
In 15 and older versions, where a single phase is used, DROP ROLE with
duplicated role names would fail on "role \"blah\" does not exist" for
the second entry after the CCI() done by the first deletion. This is
not really incorrect, but it does not seem worth changing based on a
lack of complaints.
Reported-by: Alexander Lakhin
Reviewed-by: Tender Wang
Discussion: https://postgr.es/m/18310-1eb233c5908189c8@postgresql.org
Backpatch-through: 16
Both drongo and fairywren seem not to like a new regression test added
by 2cca95e17. These machines show a different number of actual rows in
the EXPLAIN ANALYZE output. Since the number of actual rows is divided by
the number of loops, I suspect this might be due to some platform
dependant rounding behavior as the total row count is 5 and the number of
loops is 2. drongo and fairywren seem to be calculating that 5.0 / 2.0 is
3, whereas most other machines think the answer is 2.
Here we tweak the test query's WHERE clause so it's 4.0 / 2.0 instead.
There shouldn't be too much wiggle room for platform dependant-behavior to
be a factor with those numbers.
Reported-by: Tom Lane
Discussion: https://postgr.es/m/1035225.1706301718%40sss.pgh.pa.us
We perform addition of the days field of an interval via
arithmetic on the Julian-date representation of the timestamp's date.
This step is subject to int32 overflow, and we also should not let
the Julian date become very negative, for fear of weird results from
j2date. (In the timestamptz case, allow a Julian date of -1 to pass,
since it might convert back to zero after timezone rotation.)
The additions of the months and microseconds fields could also
overflow, of course. However, I believe we need no additional
checks there; the existing range checks should catch such cases.
The difficulty here is that j2date's magic modular arithmetic could
produce something that looks like it's in-range.
Per bug #18313 from Christian Maurer. This has been wrong for
a long time, so back-patch to all supported branches.
Discussion: https://postgr.es/m/18313-64d2c8952d81e84b@postgresql.org
It was possible when determining the cache keys for a Memoize path that
if the same expr appeared twice in the parameterized path's ppi_clauses
and/or in the Nested Loop's inner relation's lateral_vars. If this
happened the Memoize node's cache keys would contain duplicates. This
isn't a problem for correctness, all it means is that the cache lookups
will be suboptimal due to having redundant work to do on every hash table
lookup and insert.
Here we adjust paraminfo_get_equal_hashops() to look for duplicates and
ignore them when we find them.
Author: David Rowley
Reviewed-by: Richard Guo
Discussion: https://postgr.es/m/422277.1706207562%40sss.pgh.pa.us
It was possible in cases where we had a LATERAL joined subquery that
when the same Var is mentioned in both the lateral references and in the
outer Vars of the scan clauses that the given Var wouldn't be assigned
to the same NestLoopParam.
This could cause issues in Memoize as the cache key would reference the
Var for the scan clauses but when the parameter for the lateral references
changed some code in Memoize would see that some other parameter had
changed that's not part of the cache key and end up purging the entire
cache as a result, thinking the cache had become stale. This could
result in a Nested Loop -> Memoize plan being quite inefficient as, in
the worst case, the cache purging could result in never getting a cache
hit. In no cases could this problem lead to incorrect query results.
Here we switch the order of operations so that we create NestLoopParam
for the lateral references first before doing replace_nestloop_params().
replace_nestloop_params() will find and reuse the existing NestLoopParam
in cases where the Var exists in both locations.
Author: Richard Guo
Reviewed-by: Tom Lane, David Rowley
Discussion: https://postgr.es/m/CAMbWs48XHJEK1Q1CzAQ7L9sTANTs9W1cepXu8%3DKc0quUL%2Btg4Q%40mail.gmail.com
Formerly, these were only supported in to_char(), but there seems
little reason for that restriction. We should at least have enough
support to permit round-tripping the output of to_char().
In that spirit, TZ accepts either zone abbreviations or numeric
(HH or HH:MM) offsets, which are the cases that to_char() can output.
In an ideal world we'd make it take full zone names too, but
that seems like it'd introduce an unreasonable amount of ambiguity,
since the rules for POSIX-spec zone names are so lax.
OF is a subset of this, accepting only HH or HH:MM.
One small benefit of this improvement is that we can simplify
jsonpath's executeDateTimeMethod function, which no longer needs
to consider the HH and HH:MM cases separately. Moreover, letting
it accept zone abbreviations means it will accept "Z" to mean UTC,
which is emitted by JSON.stringify() for example.
Patch by me, reviewed by Aleksander Alekseev and Daniel Gustafsson
Discussion: https://postgr.es/m/1681086.1686673242@sss.pgh.pa.us
This commit implements ithe jsonpath .bigint(), .boolean(),
.date(), .decimal([precision [, scale]]), .integer(), .number(),
.string(), .time(), .time_tz(), .timestamp(), and .timestamp_tz()
methods.
.bigint() converts the given JSON string or a numeric value to
the bigint type representation.
.boolean() converts the given JSON string, numeric, or boolean
value to the boolean type representation. In the numeric case, only
integers are allowed. We use the parse_bool() backend function
to convert a string to a bool.
.decimal([precision [, scale]]) converts the given JSON string
or a numeric value to the numeric type representation. If precision
and scale are provided for .decimal(), then it is converted to the
equivalent numeric typmod and applied to the numeric number.
.integer() and .number() convert the given JSON string or a
numeric value to the int4 and numeric type representation.
.string() uses the datatype's output function to convert numeric
and various date/time types to the string representation.
The JSON string representing a valid date/time is converted to the
specific date or time type representation using jsonpath .date(),
.time(), .time_tz(), .timestamp(), .timestamp_tz() methods. The
changes use the infrastructure of the .datetime() method and perform
the datatype conversion as appropriate. Unlike the .datetime()
method, none of these methods accept a format template and use ISO
DateTime format instead. However, except for .date(), the
date/time related methods take an optional precision to adjust the
fractional seconds.
Jeevan Chalke, reviewed by Peter Eisentraut and Andrew Dunstan.
This commit adds the failover property to the replication slot. The
failover property indicates whether the slot will be synced to the standby
servers, enabling the resumption of corresponding logical replication
after failover. But note that this commit does not yet include the
capability to sync the replication slot; the subsequent commits will add
that capability.
A new optional parameter 'failover' is added to the
pg_create_logical_replication_slot() function. We will also enable to set
'failover' option for slots via the subscription commands in the
subsequent commits.
The value of the 'failover' flag is displayed as part of
pg_replication_slots view.
Author: Hou Zhijie, Shveta Malik, Ajin Cherian
Reviewed-by: Peter Smith, Bertrand Drouvot, Dilip Kumar, Masahiko Sawada, Nisha Moond, Kuroda, Hayato, Amit Kapila
Discussion: https://postgr.es/m/514f6f2f-6833-4539-39f1-96cd1e011f23@enterprisedb.com
9e2d870119 enabled the COPY command to skip malformed data, however
there was no visibility into how many tuples were actually skipped
during the COPY FROM.
This commit adds a new "tuples_skipped" column to
pg_stat_progress_copy view to report the number of tuples that were
skipped because they contain malformed data.
Bump catalog version.
Author: Atsushi Torikoshi
Reviewed-by: Masahiko Sawada
Discussion: https://postgr.es/m/d12fd8c99adcae2744212cb23feff6ed%40oss.nttdata.com
Add WITHOUT OVERLAPS clause to PRIMARY KEY and UNIQUE constraints.
These are backed by GiST indexes instead of B-tree indexes, since they
are essentially exclusion constraints with = for the scalar parts of
the key and && for the temporal part.
Author: Paul A. Jungwirth <pj@illuminatedcomputing.com>
Reviewed-by: Peter Eisentraut <peter@eisentraut.org>
Reviewed-by: jian he <jian.universality@gmail.com>
Discussion: https://www.postgresql.org/message-id/flat/CA+renyUApHgSZF9-nd-a0+OPGharLQLO=mDHcY4_qQ0+noCUVg@mail.gmail.com
This adds a Node *escontext parameter to it and a bunch of functions
downstream to it, replacing any ereport()s in that path by either
errsave() or ereturn() as appropriate. This also adds code to those
functions where necessary to return early upon encountering a soft
error.
The changes here are mainly intended to suppress errors in the
functions of jsonfuncs.c. Functions in any external modules, such as
arrayfuncs.c, that those functions may in turn call are not changed
here based on the assumption that the various checks in jsonfuncs.c
functions should ensure that only values that are structurally valid
get passed to the functions in those external modules. An exception
is made for domain_check() to allow handling domain constraint
violation errors softly.
For testing, this adds a function jsonb_populate_record_valid(),
which returns true if jsonb_populate_record() would finish without
causing an error for the provided JSON object, false otherwise. Note
that jsonb_populate_record() internally calls populate_record(),
which in turn uses populate_record_field().
Extracted from a much larger patch to add SQL/JSON query functions.
Author: Nikita Glukhov <n.gluhov@postgrespro.ru>
Author: Teodor Sigaev <teodor@sigaev.ru>
Author: Oleg Bartunov <obartunov@gmail.com>
Author: Alexander Korotkov <aekorotkov@gmail.com>
Author: Andrew Dunstan <andrew@dunslane.net>
Author: Amit Langote <amitlangote09@gmail.com>
Reviewers have included (in no particular order) Andres Freund,
Alexander Korotkov, Pavel Stehule, Andrew Alsup, Erik Rijkers,
Zihong Yu, Himanshu Upadhyaya, Daniel Gustafsson, Justin Pryzby,
Álvaro Herrera, Jian He, Peter Eisentraut
Discussion: https://postgr.es/m/cd0bb935-0158-78a7-08b5-904886deac4b@postgrespro.ru
Discussion: https://postgr.es/m/20220616233130.rparivafipt6doj3@alap3.anarazel.de
Discussion: https://postgr.es/m/abd9b83b-aa66-f230-3d6d-734817f0995d%40postgresql.org
Discussion: https://postgr.es/m/CA+HiwqHROpf9e644D8BRqYvaAPmgBZVup-xKMDPk-nd4EpgzHw@mail.gmail.com
Discussion: https://postgr.es/m/CA+HiwqE4XTdfb1nW=Ojoy_tQSRhYt-q_kb6i5d4xcKyrLC1Nbg@mail.gmail.com
This command, when used to add a column on a parent table with a complex
inheritance tree, tried to update multiple times the same tuple in
pg_attribute for a child table when incrementing attinhcount, causing
failures with "tuple already updated by self" because of a missing
CommandCounterIncrement() between two updates.
This exists for a rather long time, so backpatch all the way down.
Reported-by: Alexander Lakhin
Author: Tender Wang
Reviewed-by: Richard Guo
Discussion: https://postgr.es/m/18297-b04cd83a55b51e35@postgresql.org
Backpatch-through: 12
This commit tweaks a couple of things in 035_standby_logical_decoding to
hopefully stabilize it:
- Autovacuum is now disabled, as it could hold a global xmin with a
transaction.
- Conflicts are generated with command sequences that removed rows (on
catalogs, shared or non-shared, or just plain relations) followed by a
VACUUM. This was unstable because these did not check that the horizon
moved between the SQL commands and the VACUUM. The logic is refactored
as follows, to ensure that VACUUM removes dead rows before testing for
slot invalidation on a standby (idea suggested by Andres Freund):
-- Grab the current horizon.
-- Launch SQL commands removing rows.
-- Check that the snapshot horizon has been updated.
-- Launch VACUUM on the relation whose rows have been removed by the
first step.
Note that there are still some issues because of standby snapshot WAL
records generated by the bgwriter, but this makes the test much more
stable.
Per reports from buildfarm members dikkop and skink, with analysis and
tests from Alexander Lakhin.
While on it, fix a couple of incorrect comments.
Author: Bertrand Drouvot
Reviewed-by: Alexander Lakhin, Michael Paquier
Discussion: https://postgr.es/m/OSZPR01MB6310ED3CEDB531BCEDBC6AF2FD479@OSZPR01MB6310.jpnprd01.prod.outlook.com
Discussion: https://postgr.es/m/bf67e076-b163-9ba3-4ade-b9fc51a3a8f6@gmail.com
Backpatch-through: 16
Until now PostgreSQL has not been very smart about optimizing away IS
NOT NULL base quals on columns defined as NOT NULL. The evaluation of
these needless quals adds overhead. Ordinarily, anyone who came
complaining about that would likely just have been told to not include
the qual in their query if it's not required. However, a recent bug
report indicates this might not always be possible.
Bug 17540 highlighted that when we optimize Min/Max aggregates the IS NOT
NULL qual that the planner adds to make the rewritten plan ignore NULLs
can cause issues with poor index choice. That particular case
demonstrated that other quals, especially ones where no statistics are
available to allow the planner a chance at estimating an approximate
selectivity for can result in poor index choice due to cheap startup paths
being prefered with LIMIT 1.
Here we take generic approach to fixing this by having the planner check
for NOT NULL columns and just have the planner remove these quals (when
they're not needed) for all queries, not just when optimizing Min/Max
aggregates.
Additionally, here we also detect IS NULL quals on a NOT NULL column and
transform that into a gating qual so that we don't have to perform the
scan at all. This also works for join relations when the Var is not
nullable by any outer join.
This also helps with the self-join removal work as it must replace
strict join quals with IS NOT NULL quals to ensure equivalence with the
original query.
Author: David Rowley, Richard Guo, Andy Fan
Reviewed-by: Richard Guo, David Rowley
Discussion: https://postgr.es/m/CAApHDvqg6XZDhYRPz0zgOcevSMo0d3vxA9DvHrZtKfqO30WTnw@mail.gmail.com
Discussion: https://postgr.es/m/17540-7aa1855ad5ec18b4%40postgresql.org
This provides basic coverage for injection points within a single
process, while providing some callbacks that can be used for other
tests. There are plans to extend this module later with more
advanced capabilities for tests.
Author: Michael Paquier, with comment fixes from Ashutosh Bapat.
Reviewed-by: Ashutosh Bapat, Nathan Bossart, Álvaro Herrera, Dilip
Kumar, Amul Sul, Nazir Bilal Yavuz
Discussion: https://postgr.es/m/ZTiV8tn_MIb_H2rE@paquier.xyz
When evaluating a query with a multi-column GROUP BY clause, we can minimize
sort operations or avoid them if we synchronize the order of GROUP BY clauses
with the ORDER BY sort clause or sort order, which comes from the underlying
query tree. Grouping does not imply any ordering, so we can compare
the keys in arbitrary order, and a Hash Agg leverages this. But for Group Agg,
we simply compared keys in the order specified in the query. This commit
explores alternative ordering of the keys, trying to find a cheaper one.
The ordering of group keys may interact with other parts of the query, some of
which may not be known while planning the grouping. For example, 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 eliminating the sort entirely.
The patch always keeps the ordering specified in the query, assuming the user
might have additional insights.
This introduces a new GUC enable_group_by_reordering so that the optimization
may be disabled if needed.
Discussion: https://postgr.es/m/7c79e6a5-8597-74e8-0671-1c39d124c9d6%40sigaev.ru
Author: Andrei Lepikhov, Teodor Sigaev
Reviewed-by: Tomas Vondra, Claudio Freire, Gavin Flower, Dmitry Dolgov
Reviewed-by: Robert Haas, Pavel Borisov, David Rowley, Zhihong Yu
Reviewed-by: Tom Lane, Alexander Korotkov, Richard Guo, Alena Rybakina
Target columns in UPDATE ... SET must not be qualified with the target
table; we disallow this because it'd create ambiguity about which name
is the column name in case of field-qualified names. However, newbies
have been seen to expect that they could qualify a target name just
like other names. The error message when they do is confusing:
"column "foo" of relation "foo" does not exist". To improve matters,
issue a HINT if the invalid name is qualified and matches the
relation's alias.
James Coleman (editorialized a bit by me)
Discussion: https://postgr.es/m/CAAaqYe8S2Qa060UV-YF5GoSd5PkEhLV94x-fEi3=TOtpaXCV+w@mail.gmail.com
These support functions will transform expressions with constant
range values into direct comparisons on the range bound values,
which are frequently better-optimizable. The transformation is
skipped however if it would require double evaluation of a
volatile or expensive element expression.
Along the way, add the range opfamily OID to range typcache entries,
since load_rangetype_info has to compute that anyway and it seems
silly to duplicate the work later.
Kim Johan Andersson and Jian He, reviewed by Laurenz Albe
Discussion: https://postgr.es/m/94f64d1f-b8c0-b0c5-98bc-0793a34e0851@kimmet.dk
Presently, the most straightforward way for a shared library to use
shared memory is to request it at server startup via a
shmem_request_hook, which requires specifying the library in
shared_preload_libraries. Alternatively, the library can create a
dynamic shared memory (DSM) segment, but absent a shared location
to store the segment's handle, other backends cannot use it. This
commit introduces a registry for DSM segments so that these other
backends can look up existing segments with a library-specified
string. This allows libraries to easily use shared memory without
needing to request it at server startup.
The registry is accessed via the new GetNamedDSMSegment() function.
This function handles allocating the segment and initializing it
via a provided callback. If another backend already created and
initialized the segment, it simply attaches the segment.
GetNamedDSMSegment() locks the registry appropriately to ensure
that only one backend initializes the segment and that all other
backends just attach it.
The registry itself is comprised of a dshash table that stores the
DSM segment handles keyed by a library-specified string.
Reviewed-by: Michael Paquier, Andrei Lepikhov, Nikita Malakhov, Robert Haas, Bharath Rupireddy, Zhang Mingli, Amul Sul
Discussion: https://postgr.es/m/20231205034647.GA2705267%40nathanxps13
This is support function 12 for the GiST AM and translates
"well-known" RT*StrategyNumber values into whatever strategy number is
used by the opclass (since no particular numbers are actually
required). We will use this to support temporal PRIMARY
KEY/UNIQUE/FOREIGN KEY/FOR PORTION OF functionality.
This commit adds two implementations, one for internal GiST opclasses
(just an identity function) and another for btree_gist opclasses. It
updates btree_gist from 1.7 to 1.8, adding the support function for
all its opclasses.
Author: Paul A. Jungwirth <pj@illuminatedcomputing.com>
Reviewed-by: Peter Eisentraut <peter@eisentraut.org>
Reviewed-by: jian he <jian.universality@gmail.com>
Discussion: https://www.postgresql.org/message-id/flat/CA+renyUApHgSZF9-nd-a0+OPGharLQLO=mDHcY4_qQ0+noCUVg@mail.gmail.com
All commands accepting arguments, handling them with OT_NORMAL, OT_SQLID
or OT_SQLIDHACK, should call ignore_slash_options() in inactive branch
to scan and discard extra arguments. All the backslash commands that
handle arguments do so, except \bind.
This commit adds the missing ignore_slash_options to \bind's inactive
branch. This inconsistency is a logic bug, however the behavior happens
to be unchanged as any extra arguments are discarded later in
HandleSlashCmds(), so no backpatch is done.
While on it, this adds \bind to the list of backslash commands where
inactive \if branches are checked in the tests for psql.
Reported-by: Jelte Fennema-Nio
Author: Anthonin Bonnefoy
Discussion: https://postgr.es/m/CAGECzQR1+udGKz+FbHiCQ7CWDiF1fCGi2xYuvQUODdMAfJbaLA@mail.gmail.com
Due to the commit c5385929 which made all Perl warnings to fatal, use
of PostgreSQL::Test::Cluster:psql() and safe_psql() with timeout
started to fail with the following error:
Use of uninitialized value $ret in bitwise and (&) at
..src/test/perl/PostgreSQL/Test/Cluster.pm line 2015.
Fix that by placing $ret conversion code in psql() in an if (defined
$ret) block.
With this change, the behavior of psql() becomes same as before, that
is, the whole function returns undef on timeout, which is usefully
different from returning 0.
Author: Bharath Rupireddy <bharath.rupireddyforpostgres@gmail.com>
Discussion: https://www.postgresql.org/message-id/flat/06f899fd-1826-05ab-42d6-adeb1fd5e200%40eisentraut.org
The query checks that pg_database.dathasloginevt is unset on connect when
there are no event triggers. However, unsetting this flag is implemented in
a non-blocking way, so a concurrent autovacuum connection breaks this check.
It doesn't seem we can do much with this, at least within a regression test.
So, remove it.
Reported-by: Alexander Lakhin
Discussion: https://postgr.es/m/44807d19-81a6-3884-3e0f-22dd99aac3ed%40gmail.com
Currently, when source data contains unexpected data regarding data type or
range, the entire COPY fails. However, in some cases, such data can be ignored
and just copying normal data is preferable.
This commit adds a new option SAVE_ERROR_TO, which specifies where to save the
error information. When this option is specified, COPY skips soft errors and
continues copying.
Currently, SAVE_ERROR_TO only supports "none". This indicates error information
is not saved and COPY just skips the unexpected data and continues running.
Later works are expected to add more choices, such as 'log' and 'table'.
Author: Damir Belyalov, Atsushi Torikoshi, Alex Shulgin, Jian He
Discussion: https://postgr.es/m/87k31ftoe0.fsf_-_%40commandprompt.com
Reviewed-by: Pavel Stehule, Andres Freund, Tom Lane, Daniel Gustafsson,
Reviewed-by: Alena Rybakina, Andy Fan, Andrei Lepikhov, Masahiko Sawada
Reviewed-by: Vignesh C, Atsushi Torikoshi
Previously, identity columns were disallowed on partitioned tables.
(The reason was mainly that no one had gotten around to working
through all the details to make it work.) This makes it work now.
Some details on the behavior:
* A newly created partition inherits identity property
The partitions of a partitioned table are integral part of the
partitioned table. A partition inherits identity columns from the
partitioned table. An identity column of a partition shares the
identity space with the corresponding column of the partitioned
table. In other words, the same identity column across all
partitions of a partitioned table share the same identity space.
This is effected by sharing the same underlying sequence.
When INSERTing directly into a partition, the sequence associated
with the topmost partitioned table is used to calculate the value of
the corresponding identity column.
In regular inheritance, identity columns and their properties in a
child table are independent of those in its parent tables. A child
table does not inherit identity columns or their properties
automatically from the parent. (This is unchanged.)
* Attached partition inherits identity column
A table being attached as a partition inherits the identity property
from the partitioned table. This should be fine since we expect
that the partition table's column has the same type as the
partitioned table's corresponding column. If the table being
attached is a partitioned table, the identity properties are
propagated down its partition hierarchy.
An identity column in the partitioned table is also marked as NOT
NULL. The corresponding column in the partition needs to be marked
as NOT NULL for the attach to succeed.
* Drop identity property when detaching partition
A partition's identity column shares the identity space
(i.e. underlying sequence) as the corresponding column of the
partitioned table. If a partition is detached it can longer share
the identity space as before. Hence the identity columns of the
partition being detached loose their identity property.
When identity of a column of a regular table is dropped it retains
the NOT NULL constraint that came with the identity property.
Similarly the columns of the partition being detached retain the NOT
NULL constraints that came with identity property, even though the
identity property itself is lost.
The sequence associated with the identity property is linked to the
partitioned table (and not the partition being detached). That
sequence is not dropped as part of detach operation.
* Partitions with their own identity columns are not allowed.
* The usual ALTER operations (add identity column, add identity
property to existing column, alter properties of an indentity
column, drop identity property) are supported for partitioned
tables. Changing a column only in a partitioned table or a
partition is not allowed; the change needs to be applied to the
whole partition hierarchy.
Author: Ashutosh Bapat <ashutosh.bapat.oss@gmail.com>
Reviewed-by: Peter Eisentraut <peter@eisentraut.org>
Discussion: https://www.postgresql.org/message-id/flat/CAExHW5uOykuTC+C6R1yDSp=o8Q83jr8xJdZxgPkxfZ1Ue5RRGg@mail.gmail.com
This new function is equivalent to PQpipelineSync(), except that it does
not flush anything to the server except if the size threshold of the
output buffer is reached; the user must subsequently call PQflush()
instead.
Its purpose is to reduce the system call overhead of pipeline mode, by
giving to applications more control over the timing of the flushes when
manipulating commands in pipeline mode.
Author: Anton Kirilov
Reviewed-by: Jelte Fennema-Nio, Robert Haas, Álvaro Herrera, Denis
Laxalde, Michael Paquier
Discussion: https://postgr.es/m/CACV6eE5arHFZEA717=iKEa_OewpVFfWJOmsOdGrqqsr8CJVfWQ@mail.gmail.com
When removing a useless join, we'd remove PHVs that are not used at join
partner rels or above the join. A PHV that references the join's relid
in ph_eval_at is logically "above" the join and thus should not be
removed. We have the following check for that:
!bms_is_member(ojrelid, phinfo->ph_eval_at)
However, in the case of SJE removing a useless inner join, 'ojrelid' is
set to -1, which would trigger the "negative bitmapset member not
allowed" error in bms_is_member().
Fix it by skipping examining ojrelid for inner joins in this check.
Reported-by: Zuming Jiang
Bug: #18260
Discussion: https://postgr.es/m/18260-1b6a0c4ae311b837%40postgresql.org
Author: Richard Guo
Reviewed-by: Andrei Lepikhov
Most of these tests have been introduced in 6dd8b00807, to check for
behaviors related to hashing and hash plans, and money is a data type
with btree support but no hash functions. These tests are switched to
use varbit instead, to provide the same coverage.
Some other tests historically used money but don't really need it for
what they wanted to test (see rules.sql). Plans and coverage are
unchanged after the modifications done here.
Support for money may be removed a a later point, but this needs more
discussion.
Discussion: https://postgr.es/m/18240-c5da758d7dc1ecf0@postgresql.org
This changes the pg_attribute field attstattarget into a nullable
field in the variable-length part of the row. If no value is set by
the user for attstattarget, it is now null instead of previously -1.
This saves space in pg_attribute and tuple descriptors for most
practical scenarios. (ATTRIBUTE_FIXED_PART_SIZE is reduced from 108
to 104.) Also, null is the semantically more correct value.
The ANALYZE code internally continues to represent the default
statistics target by -1, so that that code can avoid having to deal
with null values. But that is now contained to the ANALYZE code.
Only the DDL code deals with attstattarget possibly null.
For system columns, the field is now always null. The ANALYZE code
skips system columns anyway.
To set a column's statistics target to the default value, the new
command form ALTER TABLE ... SET STATISTICS DEFAULT can be used. (SET
STATISTICS -1 still works.)
Reviewed-by: Alvaro Herrera <alvherre@alvh.no-ip.org>
Discussion: https://www.postgresql.org/message-id/flat/4da8d211-d54d-44b9-9847-f2a9f1184c76@eisentraut.org
A superuser may create a subscription with password_required=true, but
which uses a connection string without a password.
Previously, if the owner of such a subscription was changed to a
non-superuser, the non-superuser was able to utilize a password from
another source (like a password file or the PGPASSWORD environment
variable), which should not have been allowed.
This commit adds a step to re-validate the connection string before
connecting.
Reported-by: Jeff Davis
Author: Vignesh C
Reviewed-by: Peter Smith, Robert Haas, Amit Kapila
Discussion: https://www.postgresql.org/message-id/flat/e5892973ae2a80a1a3e0266806640dae3c428100.camel%40j-davis.com
Backpatch-through: 16
The code for wrapping subquery output expressions in PlaceHolderVars
believed that if the expression already was a PlaceHolderVar, it was
never necessary to wrap that in another one. That's wrong if the
expression is underneath an outer join and involves a lateral
reference to outside that scope: failing to add an additional PHV
risks evaluating the expression at the wrong place and hence not
forcing it to null when the outer join should do so. This is an
oversight in commit 9e7e29c75, which added logic to forcibly wrap
lateral-reference Vars in PlaceHolderVars, but didn't see that the
adjacent case for PlaceHolderVars needed the same treatment.
The test case we have for this doesn't fail before 4be058fe9, but now
that I see the problem I wonder if it is possible to demonstrate
related errors before that. That's moot though, since all such
branches are out of support.
Per bug #18284 from Holger Reise. Back-patch to all supported
branches.
Discussion: https://postgr.es/m/18284-47505a20c23647f8@postgresql.org
Many psql backslash commands tolerate trailing semicolons, even
though that's not part of the official syntax. These did not.
They tried to, by passing semicolon = true to psql_scan_slash_option,
but that function ignored this parameter in OT_WHOLE_LINE mode.
Teach it to do the right thing, and remove the now-duplicative
logic in exec_command_help.
Discussion: https://postgr.es/m/2012251.1704746912@sss.pgh.pa.us
Commit 9d9c02ccd, which added the notion of a "run condition" for
window functions, neglected to teach nodeFuncs.c to process the new
field. Remarkably, that doesn't seem to have had any ill effects
before we invented Var.varnullingrels, but now it can cause visible
failures in join-removal scenarios.
I have no faith that there's not reachable problems in v15 too,
so back-patch the code change to v15 where 9d9c02ccd came in.
The test case seems irrelevant to v15, though.
Per bug #18277 from Zuming Jiang. Diagnosis and patch by
Richard Guo.
Discussion: https://postgr.es/m/18277-089ead83b329a2fd@postgresql.org
The target relation for INSERT/UPDATE/DELETE/MERGE has a different behavior
than other relations in EvalPlanQual() and RETURNING clause. This is why we
forbid target relation to be either source or target relation in SJE.
It's not clear if we could ever support this.
Reported-by: Alexander Lakhin
Discussion: https://postgr.es/m/b9e8f460-f9a6-0e9b-e8ba-60d59f0bc22c%40gmail.com
When SJE uses RelOptInfo.unique_for_rels cache, it passes filtered quals to
innerrel_is_unique_ext(). That might lead to an invalid match to cache entries
made by previous non self-join checking calls. Add UniqueRelInfo.self_join
flag to prevent such cases. Also, fix that SJE should require a strict match
of outerrelids to make sure UniqueRelInfo.extra_clauses are valid.
Reported-by: Alexander Lakhin
Discussion: https://postgr.es/m/4788f781-31bd-9796-d7d6-588a751c8787%40gmail.com
Since commit 599b33b94, this function assumed that every RTE_RELATION
RangeTblEntry would have an associated RelOptInfo. But that's not so:
we only build RelOptInfos for relations that are scanned by the query.
In particular the target of an INSERT won't have one, so that Vars
appearing in an INSERT ... RETURNING list will not have an associated
RelOptInfo. This apparently wasn't a problem before commit f7816aec2
taught examine_simple_variable() to drill down into CTEs containing
INSERT RETURNING, but it is now.
To fix, add a fallback code path that gets the userid to use directly
from the RTEPermissionInfo associated with the RTE. (Sadly, we must
have two code paths, because not every RTE has a RTEPermissionInfo
either.)
Per report from Alexander Lakhin. No back-patch, since the case is
apparently unreachable before f7816aec2.
Discussion: https://postgr.es/m/608a4886-6c60-0f9e-97d5-591256bd4150@gmail.com
When the SJE code handles the transfer of qual clauses from the removed
relation to the remaining one, it replaces the Vars of the removed
relation with the Vars of the remaining relation for each clause, and
then reintegrates these clauses into the appropriate restriction or join
clause lists, while attempting to avoid duplicates.
However, the code compares RestrictInfo->clause to determine if two
clauses are duplicates. This is just flat wrong. Two RestrictInfos
with the same clause can have different required_relids,
incompatible_relids, is_pushed_down, and so on. This can cause qual
clauses to be mistakenly omitted, leading to wrong results.
This patch fixes it by comparing the entire RestrictInfos not just their
clauses ignoring 'rinfo_serial' field (otherwise almost all RestrictInfos will
be unique). Making 'rinfo_serial' equal_ignore would break other code. This
is why this commit implements our own comparison function for checking the
equality of RestrictInfos.
Reported-by: Zuming Jiang
Bug: #18261
Discussion: https://postgr.es/m/18261-2a75d748c928609b%40postgresql.org
Author: Richard Guo
Support referencing a composite-type variable in %TYPE.
Remove the undocumented, untested, and pretty useless ability
to have the subject of %TYPE be an (unqualified) type name.
You get the same result by just not writing %TYPE.
Add or adjust some test cases to improve code coverage here.
Discussion: https://postgr.es/m/716852.1704402127@sss.pgh.pa.us
This adds a new ALTER TABLE subcommand ALTER COLUMN ... SET EXPRESSION
that changes the generation expression of a generated column.
The syntax is not standard but was adapted from other SQL
implementations.
This command causes a table rewrite, using the usual ALTER TABLE
mechanisms. The implementation is similar to and makes use of some of
the infrastructure of the SET DATA TYPE subcommand (for example,
rebuilding constraints and indexes afterwards). The new command
requires a new pass in AlterTablePass, and the ADD COLUMN pass had to
be moved earlier so that combinations of ADD COLUMN and SET EXPRESSION
can work.
Author: Amul Sul <sulamul@gmail.com>
Discussion: https://www.postgresql.org/message-id/flat/CAAJ_b94yyJeGA-5M951_Lr+KfZokOp-2kXicpmEhi5FXhBeTog@mail.gmail.com
