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Release_1_0_2
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release-6-3
${ noResults }
1476 Commits (3c554100307f4e57c0881e205dbdbc173bb84d56)
| Author | SHA1 | Message | Date |
|---|---|---|---|
|
|
c2dc19342e |
Revert recovery prefetching feature.
This set of commits has some bugs with known fixes, but at this late
stage in the release cycle it seems best to revert and resubmit next
time, along with some new automated test coverage for this whole area.
Commits reverted:
dc88460c: Doc: Review for "Optionally prefetch referenced data in recovery."
1d257577: Optionally prefetch referenced data in recovery.
f003d9f8: Add circular WAL decoding buffer.
323cbe7c: Remove read_page callback from XLogReader.
Remove the new GUC group WAL_RECOVERY recently added by
|
5 years ago |
|
|
a55a98477b |
Sync guc.c and postgresql.conf.sample with the SGML docs.
It seems that various people have moved GUCs around in the config.sgml
listing without bothering to make the code agree. Ensure that the
config_group codes assigned to GUCs match where they are listed in
config.sgml. Likewise ensure that postgresql.conf.sample lists GUCs
in the same sub-section and same ordering as they appear in config.sgml.
(I've got some doubts about some of these choices, but for the purposes
of this patch, we'll treat config.sgml as gospel.)
Notably, this requires adding a WAL_RECOVERY config_group value,
because
|
5 years ago |
|
|
38f36aad8c |
GUC description improvements for clarity
|
5 years ago |
|
|
f7a97b6ec3 |
Update query_id computation
Properly fix: - the "ONLY" in FROM [ONLY] isn't hashed - the agglevelsup field in GROUPING isn't hashed - WITH TIES not being hashed (new in PG 13) - "DISTINCT" in "GROUP BY [DISTINCT]" isn't hashed (new in PG 14) Reported-by: Julien Rouhaud Discussion: https://postgr.es/m/20210425081119.ulyzxqz23ueh3wuj@nol |
5 years ago |
|
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7776a23a4b |
Fix incorrect format placeholder
|
5 years ago |
|
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9660834dd8 |
adjust query id feature to use pg_stat_activity.query_id
Previously, it was pg_stat_activity.queryid to match the
pg_stat_statements queryid column. This is an adjustment to patch
|
5 years ago |
|
|
ac725ee0f9 |
doc: Move force_parallel_mode to section for developer options
This GUC has always been classified as a planner option since its
introduction in
|
5 years ago |
|
|
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 |
|
|
b094063cd1 |
Move log_autovacuum_min_duration into its correct sections
This GUC has already been classified as LOGGING_WHAT, but its location in postgresql.conf.sample and the documentation did not reflect that, so fix those inconsistencies. Author: Justin Pryzby Discussion: https://postgr.es/m/20210404012546.GK6592@telsasoft.com |
5 years ago |
|
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07b76833b1 |
Doc: update documentation of check_function_bodies.
Adjust docs and description string to note that check_function_bodies applies to procedures too. (In hindsight it should have been named check_routine_bodies, but it seems too late for that now.) Daniel Westermann Discussion: https://postgr.es/m/GV0P278MB04834A9EB9A74B036DC7CE49D2739@GV0P278MB0483.CHEP278.PROD.OUTLOOK.COM |
5 years ago |
|
|
846d35b2dc |
Make new GUC short descriptions more consistent.
Reported-by: Daniel Westermann (DWE) <daniel.westermann@dbi-services.com> Discussion: https://postgr.es/m/GV0P278MB0483490FEAC879DCA5ED583DD2739%40GV0P278MB0483.CHEP278.PROD.OUTLOOK.COM |
5 years ago |
|
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dc88460c24 |
Doc: Review for "Optionally prefetch referenced data in recovery."
Typos, corrections and language improvements in the docs, and a few in code comments too. Reported-by: Justin Pryzby <pryzby@telsasoft.com> Discussion: https://postgr.es/m/20210409033703.GP6592%40telsasoft.com |
5 years ago |
|
|
1798d8f8b6 |
Fix typo
Author: Daniel Westermann Backpatch-through: 9.6 Discussion: https://postgr.es/m/GV0P278MB0483A7AA85BAFCC06D90F453D2739@GV0P278MB0483.CHEP278.PROD.OUTLOOK.COM |
5 years ago |
|
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1d257577e0 |
Optionally prefetch referenced data in recovery.
Introduce a new GUC recovery_prefetch, disabled by default. When enabled, look ahead in the WAL and try to initiate asynchronous reading of referenced data blocks that are not yet cached in our buffer pool. For now, this is done with posix_fadvise(), which has several caveats. Better mechanisms will follow in later work on the I/O subsystem. The GUC maintenance_io_concurrency is used to limit the number of concurrent I/Os we allow ourselves to initiate, based on pessimistic heuristics used to infer that I/Os have begun and completed. The GUC wal_decode_buffer_size is used to limit the maximum distance we are prepared to read ahead in the WAL to find uncached blocks. Reviewed-by: Alvaro Herrera <alvherre@2ndquadrant.com> (parts) Reviewed-by: Andres Freund <andres@anarazel.de> (parts) Reviewed-by: Tomas Vondra <tomas.vondra@2ndquadrant.com> (parts) Tested-by: Tomas Vondra <tomas.vondra@2ndquadrant.com> Tested-by: Jakub Wartak <Jakub.Wartak@tomtom.com> Tested-by: Dmitry Dolgov <9erthalion6@gmail.com> Tested-by: Sait Talha Nisanci <Sait.Nisanci@microsoft.com> Discussion: https://postgr.es/m/CA%2BhUKGJ4VJN8ttxScUFM8dOKX0BrBiboo5uz1cq%3DAovOddfHpA%40mail.gmail.com |
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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5fd9dfa5f5 |
Move pg_stat_statements query jumbling to core.
Add compute_query_id GUC to control whether a query identifier should be computed by the core (off by default). It's thefore now possible to disable core queryid computation and use pg_stat_statements with a different algorithm to compute the query identifier by using a third-party module. To ensure that a single source of query identifier can be used and is well defined, modules that calculate a query identifier should throw an error if compute_query_id specified to compute a query id and if a query idenfitier was already calculated. 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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3db826bd55 |
Tighten up allowed names for custom GUC parameters.
Formerly we were pretty lax about what a custom GUC's name could be; so long as it had at least one dot in it, we'd take it. However, corner cases such as dashes or equal signs in the name would cause various bits of functionality to misbehave. Rather than trying to make the world perfectly safe for that, let's just require that custom names look like "identifier.identifier", where "identifier" means something that scan.l would accept without double quotes. Along the way, this patch refactors things slightly in guc.c so that find_option() is responsible for reporting GUC-not-found cases, allowing removal of duplicative code from its callers. Per report from Hubert Depesz Lubaczewski. No back-patch, since the consequences of the problem don't seem to warrant changing behavior in stable branches. Discussion: https://postgr.es/m/951335.1612910077@sss.pgh.pa.us |
5 years ago |
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e1025044cd |
Split backend status and progress related functionality out of pgstat.c.
Backend status (supporting pg_stat_activity) and command
progress (supporting pg_stat_progress*) related code is largely
independent from the rest of pgstat.[ch] (supporting views like
pg_stat_all_tables that accumulate data over time). See also
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5 years ago |
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c30f54ad73 |
Detect POLLHUP/POLLRDHUP while running queries.
Provide a new GUC check_client_connection_interval that can be used to check whether the client connection has gone away, while running very long queries. It is disabled by default. For now this uses a non-standard Linux extension (also adopted by at least one other OS). POLLRDHUP is not defined by POSIX, and other OSes don't have a reliable way to know if a connection was closed without actually trying to read or write. In future we might consider trying to send a no-op/heartbeat message instead, but that could require protocol changes. Author: Sergey Cherkashin <s.cherkashin@postgrespro.ru> Author: Thomas Munro <thomas.munro@gmail.com> Reviewed-by: Thomas Munro <thomas.munro@gmail.com> Reviewed-by: Tatsuo Ishii <ishii@sraoss.co.jp> Reviewed-by: Konstantin Knizhnik <k.knizhnik@postgrespro.ru> Reviewed-by: Zhihong Yu <zyu@yugabyte.com> Reviewed-by: Andres Freund <andres@anarazel.de> Reviewed-by: Maksim Milyutin <milyutinma@gmail.com> Reviewed-by: Tsunakawa, Takayuki/綱川 貴之 <tsunakawa.takay@fujitsu.com> Reviewed-by: Tom Lane <tgl@sss.pgh.pa.us> (much earlier version) Discussion: https://postgr.es/m/77def86b27e41f0efcba411460e929ae%40postgrespro.ru |
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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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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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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bbcc4eb2e0 |
Change checkpoint_completion_target default to 0.9
Common recommendations are that the checkpoint should be spread out as much as possible, provided we avoid having it take too long. This change updates the default to 0.9 (from 0.5) to match that recommendation. There was some debate about possibly removing the option entirely but it seems there may be some corner-cases where having it set much lower to try to force the checkpoint to be as fast as possible could result in fewer periods of time of reduced performance due to kernel flushing. General agreement is that the "spread more" is the preferred approach though and those who need to tune away from that value are much less common. Reviewed-By: Michael Paquier, Peter Eisentraut, Tom Lane, David Steele, Nathan Bossart Discussion: https://postgr.es/m/20201207175329.GM16415%40tamriel.snowman.net |
5 years ago |
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e5595de03e |
Tidy up more loose ends related to configurable TOAST compression.
Change the default_toast_compression GUC to be an enum rather than
a string. Earlier, uncommitted versions of the patch supported using
CREATE ACCESS METHOD to add new compression methods to a running
system, but that idea was dropped before commit. So, we can simplify
the GUC handling as well, which has the nice side effect of improving
the error messages.
While updating the documentation to reflect the new GUC type, also
move it back to the right place in the list. I moved this while
revising what became commit
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5 years ago |
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26acb54a13 |
Revert "Enable parallel SELECT for "INSERT INTO ... SELECT ..."."
To allow inserts in parallel-mode this feature has to ensure that all the constraints, triggers, etc. are parallel-safe for the partition hierarchy which is costly and we need to find a better way to do that. Additionally, we could have used existing cached information in some cases like indexes, domains, etc. to determine the parallel-safety. List of commits reverted, in reverse chronological order: |
5 years ago |
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f0c2a5bba6 |
Avoid leaking memory in RestoreGUCState(), and improve comments.
RestoreGUCState applied InitializeOneGUCOption to already-live
GUC entries, causing any malloc'd subsidiary data to be forgotten.
We do want the effect of resetting the GUC to its compiled-in
default, and InitializeOneGUCOption seems like the best way to do
that, so add code to free any existing subsidiary data beforehand.
The interaction between can_skip_gucvar, SerializeGUCState, and
RestoreGUCState is way more subtle than their opaque comments
would suggest to an unwary reader. Rewrite and enlarge the
comments to try to make it clearer what's happening.
Remove a long-obsolete assertion in read_nondefault_variables: the
behavior of set_config_option hasn't depended on IsInitProcessingMode
since
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5 years ago |
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61752afb26 |
Provide recovery_init_sync_method=syncfs.
Since commit
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5 years ago |
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bbe0a81db6 |
Allow configurable LZ4 TOAST compression.
There is now a per-column COMPRESSION option which can be set to pglz (the default, and the only option in up until now) or lz4. Or, if you like, you can set the new default_toast_compression GUC to lz4, and then that will be the default for new table columns for which no value is specified. We don't have lz4 support in the PostgreSQL code, so to use lz4 compression, PostgreSQL must be built --with-lz4. In general, TOAST compression means compression of individual column values, not the whole tuple, and those values can either be compressed inline within the tuple or compressed and then stored externally in the TOAST table, so those properties also apply to this feature. Prior to this commit, a TOAST pointer has two unused bits as part of the va_extsize field, and a compessed datum has two unused bits as part of the va_rawsize field. These bits are unused because the length of a varlena is limited to 1GB; we now use them to indicate the compression type that was used. This means we only have bit space for 2 more built-in compresison types, but we could work around that problem, if necessary, by introducing a new vartag_external value for any further types we end up wanting to add. Hopefully, it won't be too important to offer a wide selection of algorithms here, since each one we add not only takes more coding but also adds a build dependency for every packager. Nevertheless, it seems worth doing at least this much, because LZ4 gets better compression than PGLZ with less CPU usage. It's possible for LZ4-compressed datums to leak into composite type values stored on disk, just as it is for PGLZ. It's also possible for LZ4-compressed attributes to be copied into a different table via SQL commands such as CREATE TABLE AS or INSERT .. SELECT. It would be expensive to force such values to be decompressed, so PostgreSQL has never done so. For the same reasons, we also don't force recompression of already-compressed values even if the target table prefers a different compression method than was used for the source data. These architectural decisions are perhaps arguable but revisiting them is well beyond the scope of what seemed possible to do as part of this project. However, it's relatively cheap to recompress as part of VACUUM FULL or CLUSTER, so this commit adjusts those commands to do so, if the configured compression method of the table happens not to match what was used for some column value stored therein. Dilip Kumar. The original patches on which this work was based were written by Ildus Kurbangaliev, and those were patches were based on even earlier work by Nikita Glukhov, but the design has since changed very substantially, since allow a potentially large number of compression methods that could be added and dropped on a running system proved too problematic given some of the architectural issues mentioned above; the choice of which specific compression method to add first is now different; and a lot of the code has been heavily refactored. More recently, Justin Przyby helped quite a bit with testing and reviewing and this version also includes some code contributions from him. Other design input and review from Tomas Vondra, Álvaro Herrera, Andres Freund, Oleg Bartunov, Alexander Korotkov, and me. Discussion: http://postgr.es/m/20170907194236.4cefce96%40wp.localdomain Discussion: http://postgr.es/m/CAFiTN-uUpX3ck%3DK0mLEk-G_kUQY%3DSNOTeqdaNRR9FMdQrHKebw%40mail.gmail.com |
5 years ago |
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377b7a8300 |
Don't leak malloc'd strings when a GUC setting is rejected.
Because guc.c prefers to keep all its string values in malloc'd not palloc'd storage, it has to be more careful than usual to avoid leaks. Error exits out of string GUC hook checks failed to clear the proposed value string, and error exits out of ProcessGUCArray() failed to clear the malloc'd results of ParseLongOption(). Found via valgrind testing. This problem is ancient, so back-patch to all supported branches. Discussion: https://postgr.es/m/3816764.1616104288@sss.pgh.pa.us |
5 years ago |
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cd91de0d17 |
Remove temporary files after backend crash
After a crash of a backend using temporary files, the files used to be left behind, on the basis that it might be useful for debugging. But we don't have any reports of anyone actually doing that, and it means the disk usage may grow over time due to repeated backend failures (possibly even hitting ENOSPC). So this behavior is a bit unfortunate, and fixing it required either manual cleanup (deleting files, which is error-prone) or restart of the instance (i.e. service disruption). This implements automatic cleanup of temporary files, controled by a new GUC remove_temp_files_after_crash. By default the files are removed, but it can be disabled to restore the old behavior if needed. Author: Euler Taveira Reviewed-by: Tomas Vondra, Michael Paquier, Anastasia Lubennikova, Thomas Munro Discussion: https://postgr.es/m/CAH503wDKdYzyq7U-QJqGn%3DGm6XmoK%2B6_6xTJ-Yn5WSvoHLY1Ww%40mail.gmail.com |
5 years ago |
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c8f78b6161 |
Add a new GUC and a reloption to enable inserts in parallel-mode.
Commit
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5 years ago |
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9f3665fbfc |
Don't consider newly inserted tuples in nbtree VACUUM.
Remove the entire idea of "stale stats" within nbtree VACUUM (stop caring about stats involving the number of inserted tuples). Also remove the vacuum_cleanup_index_scale_factor GUC/param on the master branch (though just disable them on postgres 13). The vacuum_cleanup_index_scale_factor/stats interface made the nbtree AM partially responsible for deciding when pg_class.reltuples stats needed to be updated. This seems contrary to the spirit of the index AM API, though -- it is not actually necessary for an index AM's bulk delete and cleanup callbacks to provide accurate stats when it happens to be inconvenient. The core code owns that. (Index AMs have the authority to perform or not perform certain kinds of deferred cleanup based on their own considerations, such as page deletion and recycling, but that has little to do with pg_class.reltuples/num_index_tuples.) This issue was fairly harmless until the introduction of the autovacuum_vacuum_insert_threshold feature by commit |
5 years ago |
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ff99918c62 |
Track total amounts of times spent writing and syncing WAL data to disk.
This commit adds new GUC track_wal_io_timing. When this is enabled, the total amounts of time XLogWrite writes and issue_xlog_fsync syncs WAL data to disk are counted in pg_stat_wal. This information would be useful to check how much WAL write and sync affect the performance. Enabling track_wal_io_timing will make the server query the operating system for the current time every time WAL is written or synced, which may cause significant overhead on some platforms. To avoid such additional overhead in the server with track_io_timing enabled, this commit introduces track_wal_io_timing as a separate parameter from track_io_timing. Note that WAL write and sync activity by walreceiver has not been tracked yet. This commit makes the server also track the numbers of times XLogWrite writes and issue_xlog_fsync syncs WAL data to disk, in pg_stat_wal, regardless of the setting of track_wal_io_timing. This counters can be used to calculate the WAL write and sync time per request, for example. Bump PGSTAT_FILE_FORMAT_ID. Bump catalog version. Author: Masahiro Ikeda Reviewed-By: Japin Li, Hayato Kuroda, Masahiko Sawada, David Johnston, Fujii Masao Discussion: https://postgr.es/m/0509ad67b585a5b86a83d445dfa75392@oss.nttdata.com |
5 years ago |
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3174d69fb9 |
Remove server and libpq support for old FE/BE protocol version 2.
Protocol version 3 was introduced in PostgreSQL 7.4. There shouldn't be many clients or servers left out there without version 3 support. But as a courtesy, I kept just enough of the old protocol support that we can still send the "unsupported protocol version" error in v2 format, so that old clients can display the message properly. Likewise, libpq still understands v2 ErrorResponse messages when establishing a connection. The impetus to do this now is that I'm working on a patch to COPY FROM, to always prefetch some data. We cannot do that safely with the old protocol, because it requires parsing the input one byte at a time to detect the end-of-copy marker. Reviewed-by: Tom Lane, Alvaro Herrera, John Naylor Discussion: https://www.postgresql.org/message-id/9ec25819-0a8a-d51a-17dc-4150bb3cca3b%40iki.fi |
5 years ago |
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e527a99055 |
Some copy-editing of GUC descriptions
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5 years ago |
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d16f8c8e41 |
Mark default_transaction_read_only as GUC_REPORT.
This allows clients to find out the setting at connection time without having to expend a query round trip to do so; which is helpful when trying to identify read/write servers. (One must also look at in_hot_standby, but that's already GUC_REPORT, cf bf8a662c9.) Modifying libpq to make use of this will come soon, but I felt it cleaner to push the server change separately. Haribabu Kommi, Greg Nancarrow, Vignesh C; reviewed at various times by Laurenz Albe, Takayuki Tsunakawa, Peter Smith. Discussion: https://postgr.es/m/CAF3+xM+8-ztOkaV9gHiJ3wfgENTq97QcjXQt+rbFQ6F7oNzt9A@mail.gmail.com |
5 years ago |
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d9d076222f
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VACUUM: ignore indexing operations with CONCURRENTLY
As envisioned in commit
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5 years ago |
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db8374d804 |
Remove outdated reference to RAID spindles.
Commit
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5 years ago |
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f5465fade9 |
Allow specifying CRL directory
Add another method to specify CRLs, hashed directory method, for both server and client side. This offers a means for server or libpq to load only CRLs that are required to verify a certificate. The CRL directory is specifed by separate GUC variables or connection options ssl_crl_dir and sslcrldir, alongside the existing ssl_crl_file and sslcrl, so both methods can be used at the same time. Author: Kyotaro Horiguchi <horikyota.ntt@gmail.com> Discussion: https://www.postgresql.org/message-id/flat/20200731.173911.904649928639357911.horikyota.ntt@gmail.com |
5 years ago |
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f900a79ecd |
Default to wal_sync_method=fdatasync on FreeBSD.
FreeBSD 13 gained O_DSYNC, which would normally cause wal_sync_method to
choose open_datasync as its default value. That may not be a good
choice for all systems, and performs worse than fdatasync in some
scenarios. Let's preserve the existing default behavior for now.
Like commit
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5 years ago |
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e19594c5c0 |
Reduce the default value of vacuum_cost_page_miss.
When commit |
5 years ago |
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0650ff2303 |
Add GUC to log long wait times on recovery conflicts.
This commit adds GUC log_recovery_conflict_waits that controls whether a log message is produced when the startup process is waiting longer than deadlock_timeout for recovery conflicts. This is useful in determining if recovery conflicts prevent the recovery from applying WAL. Note that currently a log message is produced only when recovery conflict has not been resolved yet even after deadlock_timeout passes, i.e., only when the startup process is still waiting for recovery conflict even after deadlock_timeout. Author: Bertrand Drouvot, Masahiko Sawada Reviewed-by: Alvaro Herrera, Kyotaro Horiguchi, Fujii Masao Discussion: https://postgr.es/m/9a60178c-a853-1440-2cdc-c3af916cff59@amazon.com |
5 years ago |
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9486e7b666 |
Improve commentary in timeout.c.
On re-reading I realized that I'd missed one race condition in the new timeout code. It's safe, but add a comment explaining it. Discussion: https://postgr.es/m/CA+hUKG+o6pbuHBJSGnud=TadsuXySWA7CCcPgCt2QE9F6_4iHQ@mail.gmail.com |
5 years ago |
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9877374bef |
Add idle_session_timeout.
This GUC variable works much like idle_in_transaction_session_timeout, in that it kills sessions that have waited too long for a new client query. But it applies when we're not in a transaction, rather than when we are. Li Japin, reviewed by David Johnston and Hayato Kuroda, some fixes by me Discussion: https://postgr.es/m/763A0689-F189-459E-946F-F0EC4458980B@hotmail.com |
5 years ago |
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09cf1d5226 |
Improve timeout.c's handling of repeated timeout set/cancel.
A very common usage pattern is that we set a timeout that we don't expect to reach, cancel it after a little bit, and later repeat. With the original implementation of timeout.c, this results in one setitimer() call per timeout set or cancel. We can do a lot better by being lazy about changing the timeout interrupt request, namely: (1) never cancel the outstanding interrupt, even when we have no active timeout events; (2) if we need to set an interrupt, but there already is one pending at or before the required time, leave it alone. When the interrupt happens, the signal handler will reschedule it at whatever time is then needed. For example, with a one-second setting for statement_timeout, this method results in having to interact with the kernel only a little more than once a second, no matter how many statements we execute in between. The mainline code might never call setitimer() at all after the first time, while each time the signal handler fires, it sees that the then-pending request is most of a second away, and that's when it sets the next interrupt request for. Each mainline timeout-set request after that will observe that the time it wants is past the pending interrupt request time, and do nothing. This also works pretty well for cases where a few different timeout lengths are in use, as long as none of them are very short. But that describes our usage well. Idea and original patch by Thomas Munro; I fixed a race condition and improved the comments. Discussion: https://postgr.es/m/CA+hUKG+o6pbuHBJSGnud=TadsuXySWA7CCcPgCt2QE9F6_4iHQ@mail.gmail.com |
5 years ago |
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4656e3d668 |
Replace CLOBBER_CACHE_ALWAYS with run-time GUC
Forced cache invalidation (CLOBBER_CACHE_ALWAYS) has been impractical to use for testing in PostgreSQL because it's so slow and because it's toggled on/off only at build time. It is helpful when hunting bugs in any code that uses the sycache/relcache because causes cache invalidations to be injected whenever it would be possible for an invalidation to occur, whether or not one was really pending. Address this by providing run-time control over cache clobber behaviour using the new debug_invalidate_system_caches_always GUC. Support is not compiled in at all unless assertions are enabled or CLOBBER_CACHE_ENABLED is explicitly defined at compile time. It defaults to 0 if compiled in, so it has negligible effect on assert build performance by default. When support is compiled in, test code can now set debug_invalidate_system_caches_always=1 locally to a backend to test specific queries, functions, extensions, etc. Or tests can toggle it globally for a specific test case while retaining normal performance during test setup and teardown. For backwards compatibility with existing test harnesses and scripts, debug_invalidate_system_caches_always defaults to 1 if CLOBBER_CACHE_ALWAYS is defined, and to 3 if CLOBBER_CACHE_RECURSIVE is defined. CLOBBER_CACHE_ENABLED is now visible in pg_config_manual.h, as is the related RECOVER_RELATION_BUILD_MEMORY setting for the relcache. Author: Craig Ringer <craig.ringer@2ndquadrant.com> Discussion: https://www.postgresql.org/message-id/flat/CAMsr+YF=+ctXBZj3ywmvKNUjWpxmuTuUKuv-rgbHGX5i5pLstQ@mail.gmail.com |
5 years ago |
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bf8a662c9a |
Introduce a new GUC_REPORT setting "in_hot_standby".
Aside from being queriable via SHOW, this value is sent to the client immediately at session startup, and again later on if the server gets promoted to primary during the session. The immediate report will be used in an upcoming patch to avoid an extra round trip when trying to connect to a primary server. Haribabu Kommi, Greg Nancarrow, Tom Lane; reviewed at various times by Laurenz Albe, Takayuki Tsunakawa, Peter Smith. Discussion: https://postgr.es/m/CAF3+xM+8-ztOkaV9gHiJ3wfgENTq97QcjXQt+rbFQ6F7oNzt9A@mail.gmail.com |
5 years ago |