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${ noResults }
4100 Commits (e6ccd1ce1644d1b40b7981f8bc172394de524f99)
| Author | SHA1 | Message | Date |
|---|---|---|---|
|
|
d780d7c088 |
Change data type of counters in BufferUsage and WalUsage from long to int64.
Previously long was used as the data type for some counters in BufferUsage and WalUsage. But long is only four byte, e.g., on Windows, and it's entirely possible to wrap a four byte counter. For example, emitting more than four billion WAL records in one transaction isn't actually particularly rare. To avoid the overflows of those counters, this commit changes the data type of them from long to int64. Suggested-by: Andres Freund Author: Masahiro Ikeda Reviewed-by: Fujii Masao Discussion: https://postgr.es/m/20201221211650.k7b53tcnadrciqjo@alap3.anarazel.de Discussion: https://postgr.es/m/af0964ac-7080-1984-dc23-513754987716@oss.nttdata.com |
5 years ago |
|
|
829daab4bb |
Fix typos in operatorcmds.c
Author: Kyotaro Horiguchi, Justin Pryzby Discussion: https://postgr.es/m/20210428.173633.1525059946206239295.horikyota.ntt@gmail.com |
5 years ago |
|
|
9681f2160d |
Fix incorrect error code for CREATE/ALTER TABLE COMPRESSION
Specifying an incorrect value for the compression method of an attribute caused ERRCODE_FEATURE_NOT_SUPPORTED to be raised as error. Use instead ERRCODE_INVALID_PARAMETER_VALUE to be more consistent. Author: Dilip Kumar Discussion: https://postgr.es/m/CAFiTN-vH84fE-8C4zGZw4v0Wyh4Y2v=5JWg2fGE5+LPaDvz1GQ@mail.gmail.com |
5 years ago |
|
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4e8c0f1a0d
|
AlterSubscription_refresh: avoid stomping on global variable
This patch replaces use of the global "wrconn" variable in AlterSubscription_refresh with a local variable of the same name, making it consistent with other functions in subscriptioncmds.c (e.g. DropSubscription). The global wrconn is only meant to be used for logical apply/tablesync worker. Abusing it this way is known to cause trouble if an apply worker manages to do a subscription refresh, such as reported by Jeremy Finzel and diagnosed by Andres Freund back in November 2020, at https://www.postgresql.org/message-id/20201111215820.qihhrz7fayu6myfi@alap3.anarazel.de Backpatch to 10. In branch master, also move the connection establishment to occur outside the PG_TRY block; this way we can remove a test for NULL in PG_FINALLY, and it also makes the code more consistent with similar code in the same file. Author: Peter Smith <peter.b.smith@fujitsu.com> Reviewed-by: Bharath Rupireddy <bharath.rupireddyforpostgres@gmail.com> Reviewed-by: Japin Li <japinli@hotmail.com> Discussion: https://postgr.es/m/CAHut+Pu7Jv9L2BOEx_Z0UtJxfDevQSAUW2mJqWU+CtmDrEZVAg@mail.gmail.com |
5 years ago |
|
|
ec48314708 |
Revert per-index collation version tracking feature.
Design problems were discovered in the handling of composite types and record types that would cause some relevant versions not to be recorded. Misgivings were also expressed about the use of the pg_depend catalog for this purpose. We're out of time for this release so we'll revert and try again. Commits reverted: 1bf946bd: Doc: Document known problem with Windows collation versions. cf002008: Remove no-longer-relevant test case. ef387bed: Fix bogus collation-version-recording logic. 0fb0a050: Hide internal error for pg_collation_actual_version(<bad OID>). ff942057: Suppress "warning: variable 'collcollate' set but not used". d50e3b1f: Fix assertion in collation version lookup. f24b1569: Rethink extraction of collation dependencies. 257836a7: Track collation versions for indexes. cd6f479e: Add pg_depend.refobjversion. 7d1297df: Remove pg_collation.collversion. Discussion: https://postgr.es/m/CA%2BhUKGLhj5t1fcjqAu8iD9B3ixJtsTNqyCCD4V0aTO9kAKAjjA%40mail.gmail.com |
5 years ago |
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c250062df4
|
Remove unused argument of ATAddForeignConstraint
Commit
|
5 years ago |
|
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6f70d7ca1d
|
Have ALTER CONSTRAINT recurse on partitioned tables
When ALTER TABLE .. ALTER CONSTRAINT changes deferrability properties changed in a partitioned table, we failed to propagate those changes correctly to partitions and to triggers. Repair by adding a recursion mechanism to affect all derived constraints and all derived triggers. (In particular, recurse to partitions even if their respective parents are already in the desired state: it is possible for the partitions to have been altered individually.) Because foreign keys involve tables in two sides, we cannot use the standard ALTER TABLE recursion mechanism, so we invent our own by following pg_constraint.conparentid down. When ALTER TABLE .. ALTER CONSTRAINT is invoked on the derived pg_constraint object that's automaticaly created in a partition as a result of a constraint added to its parent, raise an error instead of pretending to work and then failing to modify all the affected triggers. Before this commit such a command would be allowed but failed to affect all triggers, so it would silently misbehave. (Restoring dumps of existing databases is not affected, because pg_dump does not produce anything for such a derived constraint anyway.) Add some tests for the case. Backpatch to 11, where foreign key support was added to partitioned tables by commit |
5 years ago |
|
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e798d095da
|
Fix OID passed to object-alter hook during ALTER CONSTRAINT
The OID of the constraint is used instead of the OID of the trigger --
an easy mistake to make. Apparently the object-alter hooks are not very
well tested :-(
Backpatch to 12, where this typo was introduced by
|
5 years ago |
|
|
a970edbed3 |
Fix ALTER TABLE / INHERIT with generated columns
When running ALTER TABLE t2 INHERIT t1, we must check that columns in t2 that correspond to a generated column in t1 are also generated and have the same generation expression. Otherwise, this would allow creating setups that a normal CREATE TABLE sequence would not allow. Discussion: https://www.postgresql.org/message-id/22de27f6-7096-8d96-4619-7b882932ca25@2ndquadrant.com |
5 years ago |
|
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3c80e96dff |
Adjust EXPLAIN output for parallel Result Cache plans
Here we adjust the EXPLAIN ANALYZE output for Result Cache so that we
don't show any Result Cache stats for parallel workers who don't
contribute anything to Result Cache plan nodes.
I originally had ideas that workers who don't help could still have their
Result Cache stats displayed. The idea with that was so that I could
write some parallel Result Cache regression tests that show the EXPLAIN
ANALYZE output. However, I realized a little too late that such tests
would just not be possible to have run in a stable way on the buildfarm.
With that knowledge, before
|
5 years ago |
|
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9626325da5 |
Add heuristic incoming-message-size limits in the server.
We had a report of confusing server behavior caused by a client bug that sent junk to the server: the server thought the junk was a very long message length and waited patiently for data that would never come. We can reduce the risk of that by being less trusting about message lengths. For a long time, libpq has had a heuristic rule that it wouldn't believe large message size words, except for a small number of message types that are expected to be (potentially) long. This provides some defense against loss of message-boundary sync and other corrupted-data cases. The server does something similar, except that up to now it only limited the lengths of messages received during the connection authentication phase. Let's do the same as in libpq and put restrictions on the allowed length of all messages, while distinguishing between message types that are expected to be long and those that aren't. I used a limit of 10000 bytes for non-long messages. (libpq's corresponding limit is 30000 bytes, but given the asymmetry of the FE/BE protocol, there's no good reason why the numbers should be the same.) Experimentation suggests that this is at least a factor of 10, maybe a factor of 100, more than we really need; but plenty of daylight seems desirable to avoid false positives. In any case we can adjust the limit based on beta-test results. For long messages, set a limit of MaxAllocSize - 1, which is the most that we can absorb into the StringInfo buffer that the message is collected in. This just serves to make sure that a bogus message size is reported as such, rather than as a confusing gripe about not being able to enlarge a string buffer. While at it, make sure that non-mainline code paths (such as COPY FROM STDIN) are as paranoid as SocketBackend is, and validate the message type code before believing the message length. This provides an additional guard against getting stuck on corrupted input. Discussion: https://postgr.es/m/2003757.1619373089@sss.pgh.pa.us |
5 years ago |
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d6b8d29419
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Allow a partdesc-omitting-partitions to be cached
Makes partition descriptor acquisition faster during the transient period in which a partition is in the process of being detached. This also adds the restriction that only one partition can be in pending-detach state for a partitioned table. While at it, return find_inheritance_children() API to what it was before |
5 years ago |
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8e9ea08bae |
Don't pass "ONLY" options specified in TRUNCATE to foreign data wrapper.
Commit
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5 years ago |
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6bbcff096f |
Mark multirange_constructor0() and multirange_constructor2() strict
These functions shouldn't receive null arguments: multirange_constructor0() doesn't have any arguments while multirange_constructor2() has a single array argument, which is never null. But mark them strict anyway for the sake of uniformity. Also, make checks for null arguments use elog() instead of ereport() as these errors should normally be never thrown. And adjust corresponding comments. Catversion is bumped. Reported-by: Peter Eisentraut Discussion: https://postgr.es/m/0f783a96-8d67-9e71-996b-f34a7352eeef%40enterprisedb.com |
5 years ago |
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8aba932251
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Fix relcache inconsistency hazard in partition detach
During queries coming from ri_triggers.c, we need to omit partitions that are marked pending detach -- otherwise, the RI query is tricked into allowing a row into the referencing table whose corresponding row is in the detached partition. Which is bogus: once the detach operation completes, the row becomes an orphan. However, the code was not doing that in repeatable-read transactions, because relcache kept a copy of the partition descriptor that included the partition, and used it in the RI query. This commit changes the partdesc cache code to only keep descriptors that aren't dependent on a snapshot (namely: those where no detached partition exist, and those where detached partitions are included). When a partdesc-without- detached-partitions is requested, we create one afresh each time; also, those partdescs are stored in PortalContext instead of CacheMemoryContext. find_inheritance_children gets a new output *detached_exist boolean, which indicates whether any partition marked pending-detach is found. Its "include_detached" input flag is changed to "omit_detached", because that name captures desired the semantics more naturally. CreatePartitionDirectory() and RelationGetPartitionDesc() arguments are identically renamed. This was noticed because a buildfarm member that runs with relcache clobbering, which would not keep the improperly cached partdesc, broke one test, which led us to realize that the expected output of that test was bogus. This commit also corrects that expected output. Author: Amit Langote <amitlangote09@gmail.com> Author: Álvaro Herrera <alvherre@alvh.no-ip.org> Discussion: https://postgr.es/m/3269784.1617215412@sss.pgh.pa.us |
5 years ago |
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7b357cc6ae
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Don't add a redundant constraint when detaching a partition
On ALTER TABLE .. DETACH CONCURRENTLY, we add a new table constraint that duplicates the partition constraint. But if the partition already has another constraint that implies that one, then that's unnecessary. We were already avoiding the addition of a duplicate constraint if there was an exact 'equal' match -- this just improves the quality of the check. Author: Justin Pryzby <pryzby@telsasoft.com> Reviewed-by: Álvaro Herrera <alvherre@alvh.no-ip.org> Discussion: https://postgr.es/m/20210410184226.GY6592@telsasoft.com |
5 years ago |
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544b28088f |
doc: Improve hyphenation consistency
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5 years ago |
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7ef8b52cf0 |
Fix typos and grammar in comments and docs
Author: Justin Pryzby Discussion: https://postgr.es/m/20210416070310.GG3315@telsasoft.com |
5 years ago |
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f90c708a04 |
Fix wrong units in two ExplainPropertyFloat calls.
This is only a latent bug, since these calls are only reached for non-text output formats, and currently none of those will print the units. Still, we should get it right in case that ever changes. Justin Pryzby Discussion: https://postgr.es/m/20210415163846.GA3315@telsasoft.com |
5 years ago |
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409723365b |
Provide query source text when parsing a SQL-standard function body.
Without this, we lose error cursor positions, as shown in the modified regression test result. Discussion: https://postgr.es/m/2197698.1617984583@sss.pgh.pa.us |
5 years ago |
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1111b2668d |
Undo decision to allow pg_proc.prosrc to be NULL.
Commit
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5 years ago |
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69d5ca484b |
Fix some inappropriately-disallowed uses of ALTER ROLE/DATABASE SET.
Most GUC check hooks that inspect database state have special checks that prevent them from throwing hard errors for state-dependent issues when source == PGC_S_TEST. This allows, for example, "ALTER DATABASE d SET default_text_search_config = foo" when the "foo" configuration hasn't been created yet. Without this, we have problems during dump/reload or pg_upgrade, because pg_dump has no idea about possible dependencies of GUC values and can't ensure a safe restore ordering. However, check_role() and check_session_authorization() hadn't gotten the memo about that, and would throw hard errors anyway. It's not entirely clear what is the use-case for "ALTER ROLE x SET role = y", but we've now heard two independent complaints about that bollixing an upgrade, so apparently some people are doing it. Hence, fix these two functions to act more like other check hooks with similar needs. (But I did not change their insistence on being inside a transaction, as it's still not apparent that setting either GUC from the configuration file would be wise.) Also fix check_temp_buffers, which had a different form of the disease of making state-dependent checks without any exception for PGC_S_TEST. A cursory survey of other GUC check hooks did not find any more issues of this ilk. (There are a lot of interdependencies among PGC_POSTMASTER and PGC_SIGHUP GUCs, which may be a bad idea, but they're not relevant to the immediate concern because they can't be set via ALTER ROLE/DATABASE.) Per reports from Charlie Hornsby and Nathan Bossart. Back-patch to all supported branches. Discussion: https://postgr.es/m/HE1P189MB0523B31598B0C772C908088DB7709@HE1P189MB0523.EURP189.PROD.OUTLOOK.COM Discussion: https://postgr.es/m/20160711223641.1426.86096@wrigleys.postgresql.org |
5 years ago |
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81a23dd879 |
Avoid unnecessary table open/close in TRUNCATE command.
ExecuteTruncate() filters out the duplicate tables specified in the TRUNCATE command, for example in the case where "TRUNCATE foo, foo" is executed. Such duplicate tables obviously don't need to be opened and closed because they are skipped. But previously it always opened the tables before checking whether they were duplicated ones or not, and then closed them if they were. That is, the duplicated tables were opened and closed unnecessarily. This commit changes ExecuteTruncate() so that it opens the table after it confirms that table is not duplicated one, which leads to avoid unnecessary table open/close. Do not back-patch because such unnecessary table open/close is not a bug though it exists in older versions. Author: Bharath Rupireddy Reviewed-by: Amul Sul, Fujii Masao Discussion: https://postgr.es/m/CALj2ACUdBO_sXJTa08OZ0YT0qk7F_gAmRa9hT4dxRcgPS4nsZA@mail.gmail.com |
5 years ago |
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df5efaf441 |
Standardize pg_authid oid_symbol values.
Commit
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5 years ago |
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0e69f705cc
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Set pg_class.reltuples for partitioned tables
When commit
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5 years ago |
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609b0652af |
Fix typos and grammar in documentation and code comments
Comment fixes are applied on HEAD, and documentation improvements are applied on back-branches where needed. Author: Justin Pryzby Discussion: https://postgr.es/m/20210408164008.GJ6592@telsasoft.com Backpatch-through: 9.6 |
5 years ago |
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8ff1c94649 |
Allow TRUNCATE command to truncate foreign tables.
This commit introduces new foreign data wrapper API for TRUNCATE. It extends TRUNCATE command so that it accepts foreign tables as the targets to truncate and invokes that API. Also it extends postgres_fdw so that it can issue TRUNCATE command to foreign servers, by adding new routine for that TRUNCATE API. The information about options specified in TRUNCATE command, e.g., ONLY, CACADE, etc is passed to FDW via API. The list of foreign tables to truncate is also passed to FDW. FDW truncates the foreign data sources that the passed foreign tables specify, based on those information. For example, postgres_fdw constructs TRUNCATE command using them and issues it to the foreign server. For performance, TRUNCATE command invokes the FDW routine for TRUNCATE once per foreign server that foreign tables to truncate belong to. Author: Kazutaka Onishi, Kohei KaiGai, slightly modified by Fujii Masao Reviewed-by: Bharath Rupireddy, Michael Paquier, Zhihong Yu, Alvaro Herrera, Stephen Frost, Ashutosh Bapat, Amit Langote, Daniel Gustafsson, Ibrar Ahmed, Fujii Masao Discussion: https://postgr.es/m/CAOP8fzb_gkReLput7OvOK+8NHgw-RKqNv59vem7=524krQTcWA@mail.gmail.com Discussion: https://postgr.es/m/CAJuF6cMWDDqU-vn_knZgma+2GMaout68YUgn1uyDnexRhqqM5Q@mail.gmail.com |
5 years ago |
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0827e8af70
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autovacuum: handle analyze for partitioned tables
Previously, autovacuum would completely ignore partitioned tables, which is not good regarding analyze -- failing to analyze those tables means poor plans may be chosen. Make autovacuum aware of those tables by propagating "changes since analyze" counts from the leaf partitions up the partitioning hierarchy. This also introduces necessary reloptions support for partitioned tables (autovacuum_enabled, autovacuum_analyze_scale_factor, autovacuum_analyze_threshold). It's unclear how best to document this aspect. Author: Yuzuko Hosoya <yuzukohosoya@gmail.com> Reviewed-by: Kyotaro Horiguchi <horikyota.ntt@gmail.com> Reviewed-by: Tomas Vondra <tomas.vondra@enterprisedb.com> Reviewed-by: Álvaro Herrera <alvherre@alvh.no-ip.org> Discussion: https://postgr.es/m/CAKkQ508_PwVgwJyBY=0Lmkz90j8CmWNPUxgHvCUwGhMrouz6UA@mail.gmail.com |
5 years ago |
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e717a9a18b |
SQL-standard function body
This adds support for writing CREATE FUNCTION and CREATE PROCEDURE
statements for language SQL with a function body that conforms to the
SQL standard and is portable to other implementations.
Instead of the PostgreSQL-specific AS $$ string literal $$ syntax,
this allows writing out the SQL statements making up the body
unquoted, either as a single statement:
CREATE FUNCTION add(a integer, b integer) RETURNS integer
LANGUAGE SQL
RETURN a + b;
or as a block
CREATE PROCEDURE insert_data(a integer, b integer)
LANGUAGE SQL
BEGIN ATOMIC
INSERT INTO tbl VALUES (a);
INSERT INTO tbl VALUES (b);
END;
The function body is parsed at function definition time and stored as
expression nodes in a new pg_proc column prosqlbody. So at run time,
no further parsing is required.
However, this form does not support polymorphic arguments, because
there is no more parse analysis done at call time.
Dependencies between the function and the objects it uses are fully
tracked.
A new RETURN statement is introduced. This can only be used inside
function bodies. Internally, it is treated much like a SELECT
statement.
psql needs some new intelligence to keep track of function body
boundaries so that it doesn't send off statements when it sees
semicolons that are inside a function body.
Tested-by: Jaime Casanova <jcasanov@systemguards.com.ec>
Reviewed-by: Julien Rouhaud <rjuju123@gmail.com>
Discussion: https://www.postgresql.org/message-id/flat/1c11f1eb-f00c-43b7-799d-2d44132c02d7@2ndquadrant.com
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5 years ago |
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1e55e7d175 |
Add wraparound failsafe to VACUUM.
Add a failsafe mechanism that is triggered by VACUUM when it notices
that the table's relfrozenxid and/or relminmxid are dangerously far in
the past. VACUUM checks the age of the table dynamically, at regular
intervals.
When the failsafe triggers, VACUUM takes extraordinary measures to
finish as quickly as possible so that relfrozenxid and/or relminmxid can
be advanced. VACUUM will stop applying any cost-based delay that may be
in effect. VACUUM will also bypass any further index vacuuming and heap
vacuuming -- it only completes whatever remaining pruning and freezing
is required. Bypassing index/heap vacuuming is enabled by commit
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5 years ago |
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4f0b0966c8 |
Make use of in-core query id added by commit 5fd9dfa5f5
Use the in-core query id computation for pg_stat_activity, log_line_prefix, and EXPLAIN VERBOSE. Similar to other fields in pg_stat_activity, only the queryid from the top level statements are exposed, and if the backends status isn't active then the queryid from the last executed statements is displayed. Add a %Q placeholder to include the queryid in log_line_prefix, which will also only expose top level statements. For EXPLAIN VERBOSE, if a query identifier has been computed, either by enabling compute_query_id or using a third-party module, display it. Bump catalog version. Discussion: https://postgr.es/m/20210407125726.tkvjdbw76hxnpwfi@nol Author: Julien Rouhaud Reviewed-by: Alvaro Herrera, Nitin Jadhav, Zhihong Yu |
5 years ago |
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c5b7ba4e67 |
Postpone some stuff out of ExecInitModifyTable.
Arrange to do some things on-demand, rather than immediately during
executor startup, because there's a fair chance of never having to do
them at all:
* Don't open result relations' indexes until needed.
* Don't initialize partition tuple routing, nor the child-to-root
tuple conversion map, until needed.
This wins in UPDATEs on partitioned tables when only some of the
partitions will actually receive updates; with larger partition
counts the savings is quite noticeable. Also, we can remove some
sketchy heuristics in ExecInitModifyTable about whether to set up
tuple routing.
Also, remove execPartition.c's private hash table tracking which
partitions were already opened by the ModifyTable node. Instead
use the hash added to ModifyTable itself by commit
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5 years ago |
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091e22b2e6 |
Clean up treatment of missing default and CHECK-constraint records.
Andrew Gierth reported that it's possible to crash the backend if no pg_attrdef record is found to match an attribute that has atthasdef set. AttrDefaultFetch warns about this situation, but then leaves behind a relation tupdesc that has null "adbin" pointer(s), which most places don't guard against. We considered promoting the warning to an error, but throwing errors during relcache load is pretty drastic: it effectively locks one out of using the relation at all. What seems better is to leave the load-time behavior as a warning, but then throw an error in any code path that wants to use a default and can't find it. This confines the error to a subset of INSERT/UPDATE operations on the table, and in particular will at least allow a pg_dump to succeed. Also, we should fix AttrDefaultFetch to not leave any null pointers in the tupdesc, because that just creates an untested bug hazard. While at it, apply the same philosophy of "warn at load, throw error only upon use of the known-missing info" to CHECK constraints. CheckConstraintFetch is very nearly the same logic as AttrDefaultFetch, but for reasons lost in the mists of time, it was throwing ERROR for the same cases that AttrDefaultFetch treats as WARNING. Make the two functions more nearly alike. In passing, get rid of potentially-O(N^2) loops in equalTupleDesc by making AttrDefaultFetch sort the entries after fetching them, so that equalTupleDesc can assume that entries in two equal tupdescs must be in matching order. (CheckConstraintFetch already was sorting CHECK constraints, but equalTupleDesc hadn't been told about it.) There's some argument for back-patching this, but with such a small number of field reports, I'm content to fix it in HEAD. Discussion: https://postgr.es/m/87pmzaq4gx.fsf@news-spur.riddles.org.uk |
5 years ago |
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82ed7748b7 |
ALTER SUBSCRIPTION ... ADD/DROP PUBLICATION
At present, if we want to update publications in a subscription, we can use SET PUBLICATION. However, it requires supplying all publications that exists and the new publications. If we want to add new publications, it's inconvenient. The new syntax only supplies the new publications. When the refresh is true, it only refreshes the new publications. Author: Japin Li <japinli@hotmail.com> Author: Bharath Rupireddy <bharath.rupireddyforpostgres@gmail.com> Discussion: https://www.postgresql.org/message-id/flat/MEYP282MB166939D0D6C480B7FBE7EFFBB6BC0@MEYP282MB1669.AUSP282.PROD.OUTLOOK.COM |
5 years ago |
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b4af70cb21 |
Simplify state managed by VACUUM.
Reorganize the state struct used by VACUUM -- group related items together to make it easier to understand. Also stop relying on stack variables inside lazy_scan_heap() -- move those into the state struct instead. Doing things this way simplifies large groups of related functions whose function signatures had a lot of unnecessary redundancy. Switch over to using int64 for the struct fields used to count things that are reported to the user via log_autovacuum and VACUUM VERBOSE output. We were using double, but that doesn't seem to have any advantages. Using int64 makes it possible to add assertions that verify that the first pass over the heap (pruning) encounters precisely the same number of LP_DEAD items that get deleted from indexes later on, in the second pass over the heap. These assertions will be added in later commits. Finally, adjust the signatures of functions with IndexBulkDeleteResult pointer arguments in cases where there was ambiguity about whether or not the argument relates to a single index or all indexes. Functions now use the idiom that both ambulkdelete() and amvacuumcleanup() have always used (where appropriate): accept a mutable IndexBulkDeleteResult pointer argument, and return a result IndexBulkDeleteResult pointer to caller. Author: Peter Geoghegan <pg@bowt.ie> Reviewed-By: Masahiko Sawada <sawada.mshk@gmail.com> Reviewed-By: Robert Haas <robertmhaas@gmail.com> Discussion: https://postgr.es/m/CAH2-WzkeOSYwC6KNckbhk2b1aNnWum6Yyn0NKP9D-Hq1LGTDPw@mail.gmail.com |
5 years ago |
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9f6f1f9b8e |
Fix typo in collationcmds.c
Introduced by
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5 years ago |
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9eacee2e62 |
Add Result Cache executor node (take 2)
Here we add a new executor node type named "Result Cache". The planner can include this node type in the plan to have the executor cache the results from the inner side of parameterized nested loop joins. This allows caching of tuples for sets of parameters so that in the event that the node sees the same parameter values again, it can just return the cached tuples instead of rescanning the inner side of the join all over again. Internally, result cache uses a hash table in order to quickly find tuples that have been previously cached. For certain data sets, this can significantly improve the performance of joins. The best cases for using this new node type are for join problems where a large portion of the tuples from the inner side of the join have no join partner on the outer side of the join. In such cases, hash join would have to hash values that are never looked up, thus bloating the hash table and possibly causing it to multi-batch. Merge joins would have to skip over all of the unmatched rows. If we use a nested loop join with a result cache, then we only cache tuples that have at least one join partner on the outer side of the join. The benefits of using a parameterized nested loop with a result cache increase when there are fewer distinct values being looked up and the number of lookups of each value is large. Also, hash probes to lookup the cache can be much faster than the hash probe in a hash join as it's common that the result cache's hash table is much smaller than the hash join's due to result cache only caching useful tuples rather than all tuples from the inner side of the join. This variation in hash probe performance is more significant when the hash join's hash table no longer fits into the CPU's L3 cache, but the result cache's hash table does. The apparent "random" access of hash buckets with each hash probe can cause a poor L3 cache hit ratio for large hash tables. Smaller hash tables generally perform better. The hash table used for the cache limits itself to not exceeding work_mem * hash_mem_multiplier in size. We maintain a dlist of keys for this cache and when we're adding new tuples and realize we've exceeded the memory budget, we evict cache entries starting with the least recently used ones until we have enough memory to add the new tuples to the cache. For parameterized nested loop joins, we now consider using one of these result cache nodes in between the nested loop node and its inner node. We determine when this might be useful based on cost, which is primarily driven off of what the expected cache hit ratio will be. Estimating the cache hit ratio relies on having good distinct estimates on the nested loop's parameters. For now, the planner will only consider using a result cache for parameterized nested loop joins. This works for both normal joins and also for LATERAL type joins to subqueries. It is possible to use this new node for other uses in the future. For example, to cache results from correlated subqueries. However, that's not done here due to some difficulties obtaining a distinct estimation on the outer plan to calculate the estimated cache hit ratio. Currently we plan the inner plan before planning the outer plan so there is no good way to know if a result cache would be useful or not since we can't estimate the number of times the subplan will be called until the outer plan is generated. The functionality being added here is newly introducing a dependency on the return value of estimate_num_groups() during the join search. Previously, during the join search, we only ever needed to perform selectivity estimations. With this commit, we need to use estimate_num_groups() in order to estimate what the hit ratio on the result cache will be. In simple terms, if we expect 10 distinct values and we expect 1000 outer rows, then we'll estimate the hit ratio to be 99%. Since cache hits are very cheap compared to scanning the underlying nodes on the inner side of the nested loop join, then this will significantly reduce the planner's cost for the join. However, it's fairly easy to see here that things will go bad when estimate_num_groups() incorrectly returns a value that's significantly lower than the actual number of distinct values. If this happens then that may cause us to make use of a nested loop join with a result cache instead of some other join type, such as a merge or hash join. Our distinct estimations have been known to be a source of trouble in the past, so the extra reliance on them here could cause the planner to choose slower plans than it did previous to having this feature. Distinct estimations are also fairly hard to estimate accurately when several tables have been joined already or when a WHERE clause filters out a set of values that are correlated to the expressions we're estimating the number of distinct value for. For now, the costing we perform during query planning for result caches does put quite a bit of faith in the distinct estimations being accurate. When these are accurate then we should generally see faster execution times for plans containing a result cache. However, in the real world, we may find that we need to either change the costings to put less trust in the distinct estimations being accurate or perhaps even disable this feature by default. There's always an element of risk when we teach the query planner to do new tricks that it decides to use that new trick at the wrong time and causes a regression. Users may opt to get the old behavior by turning the feature off using the enable_resultcache GUC. Currently, this is enabled by default. It remains to be seen if we'll maintain that setting for the release. Additionally, the name "Result Cache" is the best name I could think of for this new node at the time I started writing the patch. Nobody seems to strongly dislike the name. A few people did suggest other names but no other name seemed to dominate in the brief discussion that there was about names. Let's allow the beta period to see if the current name pleases enough people. If there's some consensus on a better name, then we can change it before the release. Please see the 2nd discussion link below for the discussion on the "Result Cache" name. Author: David Rowley Reviewed-by: Andy Fan, Justin Pryzby, Zhihong Yu, Hou Zhijie Tested-By: Konstantin Knizhnik Discussion: https://postgr.es/m/CAApHDvrPcQyQdWERGYWx8J%2B2DLUNgXu%2BfOSbQ1UscxrunyXyrQ%40mail.gmail.com Discussion: https://postgr.es/m/CAApHDvq=yQXr5kqhRviT2RhNKwToaWr9JAN5t+5_PzhuRJ3wvg@mail.gmail.com |
5 years ago |
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c9c41c7a33 |
Rename Default Roles to Predefined Roles
The term 'default roles' wasn't quite apt as these roles aren't able to be modified or removed after installation, so rename them to be 'Predefined Roles' instead, adding an entry into the newly added Obsolete Appendix to help users of current releases find the new documentation. Bruce Momjian and Stephen Frost Discussion: https://postgr.es/m/157742545062.1149.11052653770497832538%40wrigleys.postgresql.org and https://www.postgresql.org/message-id/20201120211304.GG16415@tamriel.snowman.net |
5 years ago |
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f82de5c46b |
Do COPY FROM encoding conversion/verification in larger chunks.
This gives a small performance gain, by reducing the number of calls
to the conversion/verification function, and letting it work with
larger inputs. Also, reorganizing the input pipeline makes it easier
to parallelize the input parsing: after the input has been converted
to the database encoding, the next stage of finding the newlines can
be done in parallel, because there cannot be any newline chars
"embedded" in multi-byte characters in the encodings that we support
as server encodings.
This changes behavior in one corner case: if client and server
encodings are the same single-byte encoding (e.g. latin1), previously
the input would not be checked for zero bytes ('\0'). Any fields
containing zero bytes would be truncated at the zero. But if encoding
conversion was needed, the conversion routine would throw an error on
the zero. After this commit, the input is always checked for zeros.
Reviewed-by: John Naylor
Discussion: https://www.postgresql.org/message-id/e7861509-3960-538a-9025-b75a61188e01%40iki.fi
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5 years ago |
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ea1b99a661 |
Add 'noError' argument to encoding conversion functions.
With the 'noError' argument, you can try to convert a buffer without knowing the character boundaries beforehand. The functions now need to return the number of input bytes successfully converted. This is is a backwards-incompatible change, if you have created a custom encoding conversion with CREATE CONVERSION. This adds a check to pg_upgrade for that, refusing the upgrade if there are any user-defined encoding conversions. Custom conversions are very rare, there are no commonly used extensions that I know of that uses that feature. No other objects can depend on conversions, so if you do have one, you can fairly easily drop it before upgrading, and recreate it after the upgrade with an updated version. Add regression tests for built-in encoding conversions. This doesn't cover every conversion, but it covers all the internal functions in conv.c that are used to implement the conversions. Reviewed-by: John Naylor Discussion: https://www.postgresql.org/message-id/e7861509-3960-538a-9025-b75a61188e01%40iki.fi |
5 years ago |
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28b3e3905c |
Revert b6002a796
This removes "Add Result Cache executor node". It seems that something weird is going on with the tracking of cache hits and misses as highlighted by many buildfarm animals. It's not yet clear what the problem is as other parts of the plan indicate that the cache did work correctly, it's just the hits and misses that were being reported as 0. This is especially a bad time to have the buildfarm so broken, so reverting before too many more animals go red. Discussion: https://postgr.es/m/CAApHDvq_hydhfovm4=izgWs+C5HqEeRScjMbOgbpC-jRAeK3Yw@mail.gmail.com |
5 years ago |
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b6002a796d |
Add Result Cache executor node
Here we add a new executor node type named "Result Cache". The planner can include this node type in the plan to have the executor cache the results from the inner side of parameterized nested loop joins. This allows caching of tuples for sets of parameters so that in the event that the node sees the same parameter values again, it can just return the cached tuples instead of rescanning the inner side of the join all over again. Internally, result cache uses a hash table in order to quickly find tuples that have been previously cached. For certain data sets, this can significantly improve the performance of joins. The best cases for using this new node type are for join problems where a large portion of the tuples from the inner side of the join have no join partner on the outer side of the join. In such cases, hash join would have to hash values that are never looked up, thus bloating the hash table and possibly causing it to multi-batch. Merge joins would have to skip over all of the unmatched rows. If we use a nested loop join with a result cache, then we only cache tuples that have at least one join partner on the outer side of the join. The benefits of using a parameterized nested loop with a result cache increase when there are fewer distinct values being looked up and the number of lookups of each value is large. Also, hash probes to lookup the cache can be much faster than the hash probe in a hash join as it's common that the result cache's hash table is much smaller than the hash join's due to result cache only caching useful tuples rather than all tuples from the inner side of the join. This variation in hash probe performance is more significant when the hash join's hash table no longer fits into the CPU's L3 cache, but the result cache's hash table does. The apparent "random" access of hash buckets with each hash probe can cause a poor L3 cache hit ratio for large hash tables. Smaller hash tables generally perform better. The hash table used for the cache limits itself to not exceeding work_mem * hash_mem_multiplier in size. We maintain a dlist of keys for this cache and when we're adding new tuples and realize we've exceeded the memory budget, we evict cache entries starting with the least recently used ones until we have enough memory to add the new tuples to the cache. For parameterized nested loop joins, we now consider using one of these result cache nodes in between the nested loop node and its inner node. We determine when this might be useful based on cost, which is primarily driven off of what the expected cache hit ratio will be. Estimating the cache hit ratio relies on having good distinct estimates on the nested loop's parameters. For now, the planner will only consider using a result cache for parameterized nested loop joins. This works for both normal joins and also for LATERAL type joins to subqueries. It is possible to use this new node for other uses in the future. For example, to cache results from correlated subqueries. However, that's not done here due to some difficulties obtaining a distinct estimation on the outer plan to calculate the estimated cache hit ratio. Currently we plan the inner plan before planning the outer plan so there is no good way to know if a result cache would be useful or not since we can't estimate the number of times the subplan will be called until the outer plan is generated. The functionality being added here is newly introducing a dependency on the return value of estimate_num_groups() during the join search. Previously, during the join search, we only ever needed to perform selectivity estimations. With this commit, we need to use estimate_num_groups() in order to estimate what the hit ratio on the result cache will be. In simple terms, if we expect 10 distinct values and we expect 1000 outer rows, then we'll estimate the hit ratio to be 99%. Since cache hits are very cheap compared to scanning the underlying nodes on the inner side of the nested loop join, then this will significantly reduce the planner's cost for the join. However, it's fairly easy to see here that things will go bad when estimate_num_groups() incorrectly returns a value that's significantly lower than the actual number of distinct values. If this happens then that may cause us to make use of a nested loop join with a result cache instead of some other join type, such as a merge or hash join. Our distinct estimations have been known to be a source of trouble in the past, so the extra reliance on them here could cause the planner to choose slower plans than it did previous to having this feature. Distinct estimations are also fairly hard to estimate accurately when several tables have been joined already or when a WHERE clause filters out a set of values that are correlated to the expressions we're estimating the number of distinct value for. For now, the costing we perform during query planning for result caches does put quite a bit of faith in the distinct estimations being accurate. When these are accurate then we should generally see faster execution times for plans containing a result cache. However, in the real world, we may find that we need to either change the costings to put less trust in the distinct estimations being accurate or perhaps even disable this feature by default. There's always an element of risk when we teach the query planner to do new tricks that it decides to use that new trick at the wrong time and causes a regression. Users may opt to get the old behavior by turning the feature off using the enable_resultcache GUC. Currently, this is enabled by default. It remains to be seen if we'll maintain that setting for the release. Additionally, the name "Result Cache" is the best name I could think of for this new node at the time I started writing the patch. Nobody seems to strongly dislike the name. A few people did suggest other names but no other name seemed to dominate in the brief discussion that there was about names. Let's allow the beta period to see if the current name pleases enough people. If there's some consensus on a better name, then we can change it before the release. Please see the 2nd discussion link below for the discussion on the "Result Cache" name. Author: David Rowley Reviewed-by: Andy Fan, Justin Pryzby, Zhihong Yu Tested-By: Konstantin Knizhnik Discussion: https://postgr.es/m/CAApHDvrPcQyQdWERGYWx8J%2B2DLUNgXu%2BfOSbQ1UscxrunyXyrQ%40mail.gmail.com Discussion: https://postgr.es/m/CAApHDvq=yQXr5kqhRviT2RhNKwToaWr9JAN5t+5_PzhuRJ3wvg@mail.gmail.com |
5 years ago |
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6197db5340 |
Improve style of some replication-related error messages.
Put the remote end's error message into the primary error string, instead of relegating it to errdetail(). Although this could end up being awkward if the remote sends us a really long error message, it seems more in keeping with our message style guidelines, and more helpful in situations where the errdetail could get dropped. Peter Smith Discussion: https://postgr.es/m/CAHut+Ps-Qv2yQceCwobQDP0aJOkfDzRFrOaR6+2Op2K=WHGeWg@mail.gmail.com |
5 years ago |
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86dc90056d |
Rework planning and execution of UPDATE and DELETE.
This patch makes two closely related sets of changes: 1. For UPDATE, the subplan of the ModifyTable node now only delivers the new values of the changed columns (i.e., the expressions computed in the query's SET clause) plus row identity information such as CTID. ModifyTable must re-fetch the original tuple to merge in the old values of any unchanged columns. The core advantage of this is that the changed columns are uniform across all tables of an inherited or partitioned target relation, whereas the other columns might not be. A secondary advantage, when the UPDATE involves joins, is that less data needs to pass through the plan tree. The disadvantage of course is an extra fetch of each tuple to be updated. However, that seems to be very nearly free in context; even worst-case tests don't show it to add more than a couple percent to the total query cost. At some point it might be interesting to combine the re-fetch with the tuple access that ModifyTable must do anyway to mark the old tuple dead; but that would require a good deal of refactoring and it seems it wouldn't buy all that much, so this patch doesn't attempt it. 2. For inherited UPDATE/DELETE, instead of generating a separate subplan for each target relation, we now generate a single subplan that is just exactly like a SELECT's plan, then stick ModifyTable on top of that. To let ModifyTable know which target relation a given incoming row refers to, a tableoid junk column is added to the row identity information. This gets rid of the horrid hack that was inheritance_planner(), eliminating O(N^2) planning cost and memory consumption in cases where there were many unprunable target relations. Point 2 of course requires point 1, so that there is a uniform definition of the non-junk columns to be returned by the subplan. We can't insist on uniform definition of the row identity junk columns however, if we want to keep the ability to have both plain and foreign tables in a partitioning hierarchy. Since it wouldn't scale very far to have every child table have its own row identity column, this patch includes provisions to merge similar row identity columns into one column of the subplan result. In particular, we can merge the whole-row Vars typically used as row identity by FDWs into one column by pretending they are type RECORD. (It's still okay for the actual composite Datums to be labeled with the table's rowtype OID, though.) There is more that can be done to file down residual inefficiencies in this patch, but it seems to be committable now. FDW authors should note several API changes: * The argument list for AddForeignUpdateTargets() has changed, and so has the method it must use for adding junk columns to the query. Call add_row_identity_var() instead of manipulating the parse tree directly. You might want to reconsider exactly what you're adding, too. * PlanDirectModify() must now work a little harder to find the ForeignScan plan node; if the foreign table is part of a partitioning hierarchy then the ForeignScan might not be the direct child of ModifyTable. See postgres_fdw for sample code. * To check whether a relation is a target relation, it's no longer sufficient to compare its relid to root->parse->resultRelation. Instead, check it against all_result_relids or leaf_result_relids, as appropriate. Amit Langote and Tom Lane Discussion: https://postgr.es/m/CA+HiwqHpHdqdDn48yCEhynnniahH78rwcrv1rEX65-fsZGBOLQ@mail.gmail.com |
5 years ago |
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27e1f14563 |
Add support for asynchronous execution.
This implements asynchronous execution, which runs multiple parts of a non-parallel-aware Append concurrently rather than serially to improve performance when possible. Currently, the only node type that can be run concurrently is a ForeignScan that is an immediate child of such an Append. In the case where such ForeignScans access data on different remote servers, this would run those ForeignScans concurrently, and overlap the remote operations to be performed simultaneously, so it'll improve the performance especially when the operations involve time-consuming ones such as remote join and remote aggregation. We may extend this to other node types such as joins or aggregates over ForeignScans in the future. This also adds the support for postgres_fdw, which is enabled by the table-level/server-level option "async_capable". The default is false. Robert Haas, Kyotaro Horiguchi, Thomas Munro, and myself. This commit is mostly based on the patch proposed by Robert Haas, but also uses stuff from the patch proposed by Kyotaro Horiguchi and from the patch proposed by Thomas Munro. Reviewed by Kyotaro Horiguchi, Konstantin Knizhnik, Andrey Lepikhov, Movead Li, Thomas Munro, Justin Pryzby, and others. Discussion: https://postgr.es/m/CA%2BTgmoaXQEt4tZ03FtQhnzeDEMzBck%2BLrni0UWHVVgOTnA6C1w%40mail.gmail.com Discussion: https://postgr.es/m/CA%2BhUKGLBRyu0rHrDCMC4%3DRn3252gogyp1SjOgG8SEKKZv%3DFwfQ%40mail.gmail.com Discussion: https://postgr.es/m/20200228.170650.667613673625155850.horikyota.ntt%40gmail.com |
5 years ago |
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65158f497a |
Remove small inefficiency in ExecARDeleteTriggers/ExecARUpdateTriggers.
Whilst poking at nodeModifyTable.c, I chanced to notice that while its calls to ExecBR*Triggers and ExecIR*Triggers are protected by tests to see if there are any relevant triggers to fire, its calls to ExecAR*Triggers are not; the latter functions do the equivalent tests themselves. This seems possibly reasonable given the more complex conditions involved, but what's less reasonable is that the ExecAR* functions aren't careful to do no work when there is no work to be done. ExecARInsertTriggers gets this right, but the other two will both force creation of a slot that the query may have no use for. ExecARUpdateTriggers additionally performed a usually-useless ExecClearTuple() on that slot. This is probably all pretty microscopic in real workloads, but a cycle shaved is a cycle earned. |
5 years ago |
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4753ef37e0 |
Use a WaitLatch for vacuum/autovacuum sleeping
Instead of using pg_usleep() in vacuum_delay_point(), use a WaitLatch. This has the advantage that we will realize if the postmaster has been killed since the last time we decided to sleep while vacuuming. Reviewed-by: Thomas Munro Discussion: https://postgr.es/m/CAFh8B=kcdk8k-Y21RfXPu5dX=bgPqJ8TC3p_qxR_ygdBS=JN5w@mail.gmail.com |
5 years ago |
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a4d75c86bf |
Extended statistics on expressions
Allow defining extended statistics on expressions, not just just on
simple column references. With this commit, expressions are supported
by all existing extended statistics kinds, improving the same types of
estimates. A simple example may look like this:
CREATE TABLE t (a int);
CREATE STATISTICS s ON mod(a,10), mod(a,20) FROM t;
ANALYZE t;
The collected statistics are useful e.g. to estimate queries with those
expressions in WHERE or GROUP BY clauses:
SELECT * FROM t WHERE mod(a,10) = 0 AND mod(a,20) = 0;
SELECT 1 FROM t GROUP BY mod(a,10), mod(a,20);
This introduces new internal statistics kind 'e' (expressions) which is
built automatically when the statistics object definition includes any
expressions. This represents single-expression statistics, as if there
was an expression index (but without the index maintenance overhead).
The statistics is stored in pg_statistics_ext_data as an array of
composite types, which is possible thanks to
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5 years ago |
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a14a0118a1 |
Add "pg_database_owner" default role.
Membership consists, implicitly, of the current database owner. Expect use in template databases. Once pg_database_owner has rights within a template, each owner of a database instantiated from that template will exercise those rights. Reviewed by John Naylor. Discussion: https://postgr.es/m/20201228043148.GA1053024@rfd.leadboat.com |
5 years ago |
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71f4c8c6f7
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ALTER TABLE ... DETACH PARTITION ... CONCURRENTLY
Allow a partition be detached from its partitioned table without blocking concurrent queries, by running in two transactions and only requiring ShareUpdateExclusive in the partitioned table. Because it runs in two transactions, it cannot be used in a transaction block. This is the main reason to use dedicated syntax: so that users can choose to use the original mode if they need it. But also, it doesn't work when a default partition exists (because an exclusive lock would still need to be obtained on it, in order to change its partition constraint.) In case the second transaction is cancelled or a crash occurs, there's ALTER TABLE .. DETACH PARTITION .. FINALIZE, which executes the final steps. The main trick to make this work is the addition of column pg_inherits.inhdetachpending, initially false; can only be set true in the first part of this command. Once that is committed, concurrent transactions that use a PartitionDirectory will include or ignore partitions so marked: in optimizer they are ignored if the row is marked committed for the snapshot; in executor they are always included. As a result, and because of the way PartitionDirectory caches partition descriptors, queries that were planned before the detach will see the rows in the detached partition and queries that are planned after the detach, won't. A CHECK constraint is created that duplicates the partition constraint. This is probably not strictly necessary, and some users will prefer to remove it afterwards, but if the partition is re-attached to a partitioned table, the constraint needn't be rechecked. Author: Álvaro Herrera <alvherre@alvh.no-ip.org> Reviewed-by: Amit Langote <amitlangote09@gmail.com> Reviewed-by: Justin Pryzby <pryzby@telsasoft.com> Discussion: https://postgr.es/m/20200803234854.GA24158@alvherre.pgsql |
5 years ago |