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${ noResults }
4209 Commits (REL_14_STABLE)
Author | SHA1 | Message | Date |
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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 |
4 years ago |
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4573f6a9af |
amcheck: Remove duplicate XID/MXID bounds checks.
Commit
|
4 years ago |
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5c55dc8b47 |
libpq: Set Server Name Indication (SNI) for SSL connections
By default, have libpq set the TLS extension "Server Name Indication" (SNI). This allows an SNI-aware SSL proxy to route connections. (This requires a proxy that is aware of the PostgreSQL protocol, not just any SSL proxy.) In the future, this could also allow the server to use different SSL certificates for different host specifications. (That would require new server functionality. This would be the client-side functionality for that.) Since SNI makes the host name appear in cleartext in the network traffic, this might be undesirable in some cases. Therefore, also add a libpq connection option "sslsni" to turn it off. Discussion: https://www.postgresql.org/message-id/flat/7289d5eb-62a5-a732-c3b9-438cee2cb709%40enterprisedb.com |
4 years ago |
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d92b1cdbab |
Revert "Add sortsupport for gist_btree opclasses, for faster index builds."
This reverts commit
|
4 years ago |
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9f984ba6d2 |
Add sortsupport for gist_btree opclasses, for faster index builds.
Commit
|
4 years ago |
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0b5e824528 |
Message improvement
The previous wording contained a superfluous comma. Adjust phrasing for grammatical correctness and clarity. |
4 years ago |
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4c0239cb7a |
Remove redundant memset(0) calls for page init of some index AMs
Bloom, GIN, GiST and SP-GiST rely on PageInit() to initialize the
contents of a page, and this routine fills entirely a page with zeros
for a size of BLCKSZ, including the special space. Those index AMs have
been using an extra memset() call to fill with zeros the special page
space, or even the whole page, which is not necessary as PageInit()
already does this work, so let's remove them. GiST was not doing this
extra call, but has commented out a system call that did so since
|
4 years ago |
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a3740c48eb |
postgres_fdw: Allow partitions specified in LIMIT TO to be imported.
Commit
|
4 years ago |
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3a51306722 |
psql: Show all query results by default
Previously, psql printed only the last result if a command string returned multiple result sets. Now it prints all of them. The previous behavior can be obtained by setting the psql variable SHOW_ALL_RESULTS to off. Author: Fabien COELHO <coelho@cri.ensmp.fr> Reviewed-by: "Iwata, Aya" <iwata.aya@jp.fujitsu.com> Reviewed-by: Daniel Verite <daniel@manitou-mail.org> Reviewed-by: Peter Eisentraut <peter.eisentraut@2ndquadrant.com> Reviewed-by: Kyotaro Horiguchi <horikyota.ntt@gmail.com> Reviewed-by: vignesh C <vignesh21@gmail.com> Discussion: https://www.postgresql.org/message-id/flat/alpine.DEB.2.21.1904132231510.8961@lancre |
4 years ago |
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1d9c5d0ce2 |
Do not rely on pgstat.h to indirectly include storage/ headers.
An upcoming patch might remove the (now indirect) proc.h include (which in turn includes other headers), and it's cleaner for the modified files to include their dependencies directly anyway... Discussion: https://postgr.es/m/20210402194458.2vu324hkk2djq6ce@alap3.anarazel.de |
5 years ago |
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b1be3074ac |
postgres_fdw: Add option to control whether to keep connections open.
This commit adds a new option keep_connections that controls whether postgres_fdw keeps the connections to the foreign server open so that the subsequent queries can re-use them. This option can only be specified for a foreign server. The default is on. If set to off, all connections to the foreign server will be discarded at the end of transaction. Closed connections will be re-established when they are necessary by future queries using a foreign table. This option is useful, for example, when users want to prevent the connections from eating up the foreign servers connections capacity. Author: Bharath Rupireddy Reviewed-by: Alexey Kondratov, Vignesh C, Fujii Masao Discussion: https://postgr.es/m/CALj2ACVvrp5=AVp2PupEm+nAC8S4buqR3fJMmaCoc7ftT0aD2A@mail.gmail.com |
5 years ago |
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98e5bd103f |
Fix typos in comments.
Author: Masahiko Sawada Discussion: https://postgr.es/m/CAD21AoA1YL7t0nzVSEySx6zOaE7xO3r0jyu8hkitGL2_XbaMxQ@mail.gmail.com |
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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3b6c1259f9 |
amcheck: Fix verify_heapam's tuple visibility checking rules.
We now follow the order of checks from HeapTupleSatisfies* more closely to avoid coming to erroneous conclusions. Mark Dilger and Robert Haas Discussion: http://postgr.es/m/CA+Tgmob6sii0yTvULYJ0Vq4w6ZBmj7zUhddL3b+SKDi9z9NA7Q@mail.gmail.com |
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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8998e3cafa |
Silence compiler warning in non-assert builds.
Per buildfarm. |
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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13cb5bd846 |
Remove extra semicolon in postgres_fdw tests.
Author: Suraj Kharage Reviewed-by: Bharath Rupireddy, Vignesh C Discussion: https://postgr.es/m/CAF1DzPWRfxUeH-wShz7P_pK5Tx6M_nEK+TkS8gn5ngvg07Q5=g@mail.gmail.com |
5 years ago |
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9ee7d533da |
adjust dblink regression expected output for commit 5da9868ed9
Seems the -1/singular output is used in the dblink regression tests. Reported-by: Álvaro Herrera Discussion: https://postgr.es/m/20210330231506.GA10666@alvherre.pgsql |
5 years ago |
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ed934d4fa3 |
Allow estimate_num_groups() to pass back further details about the estimation
Here we add a new output parameter to estimate_num_groups() to allow it to inform the caller of additional, possibly useful information about the estimation. The new output parameter is a struct that currently contains just a single field with a set of flags. This was done rather than having the flags as an output parameter to allow future fields to be added without having to change the signature of the function at a later date when we want to pass back further information that might not be suitable to store in the flags field. It seems reasonable that one day in the future that the planner would want to know more about the estimation. For example, how many individual sets of statistics was the estimation generated from? The planner may want to take that into account if we ever want to consider risks as well as costs when generating plans. For now, there's only 1 flag we set in the flags field. This is to indicate if the estimation fell back on using the hard-coded constants in any part of the estimation. Callers may like to change their behavior if this is set, and this gives them the ability to do so. Callers may pass the flag pointer as NULL if they have no interest in obtaining any additional information about the estimate. We're not adding any actual usages of these flags here. Some follow-up commits will make use of this feature. Additionally, we're also not making any changes to add support for clauselist_selectivity() and clauselist_selectivity_ext(). However, if this is required in the future then the same struct being added here should be fine to use as a new output argument for those functions too. Author: David Rowley Discussion: https://postgr.es/m/CAApHDvqQqpk=1W-G_ds7A9CsXX3BggWj_7okinzkLVhDubQzjA@mail.gmail.com |
5 years ago |
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f64ea6dc5c |
Add a xid argument to the filter_prepare callback for output plugins.
Along with gid, this provides a different way to identify the transaction. The users that use xid in some way to prepare the transactions can use it to filter prepare transactions. The later commands COMMIT PREPARED or ROLLBACK PREPARED carries both identifiers, providing an output plugin the choice of what to use. Author: Markus Wanner Reviewed-by: Vignesh C, Amit Kapila Discussion: https://postgr.es/m/ee280000-7355-c4dc-e47b-2436e7be959c@enterprisedb.com |
5 years ago |
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bc2797ebb1 |
Update obsolete comment.
Back-patch to all supported branches. Author: Etsuro Fujita Discussion: https://postgr.es/m/CAPmGK17DwzaSf%2BB71dhL2apXdtG-OmD6u2AL9Cq2ZmAR0%2BzapQ%40mail.gmail.com |
5 years ago |
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22e1943f13 |
pgcrypto: Check for error return of px_cipher_decrypt()
This has previously not been a problem (that anyone ever reported), but in future OpenSSL versions (3.0.0), where legacy ciphers are/can be disabled, this is the place where this is reported. So we need to catch the error here, otherwise the higher-level functions would return garbage. The nearby encryption code already handled errors similarly. Reviewed-by: Daniel Gustafsson <daniel@yesql.se> Discussion: https://www.postgresql.org/message-id/9e9c431c-0adc-7a6d-9b1a-915de1ba3fe7@enterprisedb.com |
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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5f79580ad6 |
Fix memory lifetime issues of replication slot stats.
When accessing replication slot stats, introduced in
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5 years ago |
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65445469d6 |
amcheck: Reduce debug message verbosity.
Empty sibling pages can occasionally be much more common than any other event that we report on at elevel DEBUG1. Increase the elevel for relevant cases to DEBUG2 to avoid overwhelming the user with relatively insignificant details. |
5 years ago |
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4078ce65a0 |
Fix a confusing amcheck corruption message.
Don't complain about the last TOAST chunk number being different from what we expected if there are no TOAST chunks at all. In such a case, saying that the final chunk number is 0 is not really accurate, and the fact the value is missing from the TOAST table is reported separately anyway. Mark Dilger Discussion: http://postgr.es/m/AA5506CE-7D2A-42E4-A51D-358635E3722D@enterprisedb.com |
5 years ago |
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0ba71107ef |
Revert changes for SSL compression in libpq
This partially reverts |
5 years ago |
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096bbf7c93 |
Switch back sslcompression to be a normal input field in libpq
Per buildfarm member crake, any servers including a postgres_fdw server
with this option set would fail to do a pg_upgrade properly as the
option got hidden in
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5 years ago |
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f9264d1524 |
Remove support for SSL compression
PostgreSQL disabled compression as of
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5 years ago |
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1265a9c8f8 |
Add binary I/O capability for cube datatype.
We can adjust the not-yet-released cube--1.4--1.5.sql upgrade rather than making a whole new version. KaiGai Kohei Discussion: https://postgr.es/m/CAOP8fzZO4y60QPTK=RGDXeVeVHV9tLHKOsh7voUOoUouVCPV8A@mail.gmail.com |
5 years ago |
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112d411fbe |
Remove deprecated containment operators for contrib types.
Since PG 8.2, @ and ~ have been deprecated aliases for the containment
operators @> and <@. It seems like enough time has passed to actually
remove them, so do so.
This completes the project begun in commit
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5 years ago |
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19890a064e |
Add option to enable two_phase commits via pg_create_logical_replication_slot.
Commit
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5 years ago |
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8bdb1332eb |
Avoid repeated decoding of prepared transactions after a restart.
In commit
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5 years ago |
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388b959315 |
Raise a timeout to 180s, in contrib/test_decoding.
Per buildfarm member hornet. The test is new in v14, so no back-patch. |
5 years ago |
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e5d8a99903 |
Use full 64-bit XIDs in deleted nbtree pages.
Otherwise we risk "leaking" deleted pages by making them non-recyclable indefinitely. Commit |
5 years ago |
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bcf2667bf6 |
Fix some typos, grammar and style in docs and comments
The portions fixing the documentation are backpatched where needed. Author: Justin Pryzby Discussion: https://postgr.es/m/20210210235557.GQ20012@telsasoft.com backpatch-through: 9.6 |
5 years ago |
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8deb6b38dc
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Reinstate HEAP_XMAX_LOCK_ONLY|HEAP_KEYS_UPDATED as allowed
Commit
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5 years ago |
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6f6f284c7e |
Simplify printing of LSNs
Add a macro LSN_FORMAT_ARGS for use in printf-style printing of LSNs. Convert all applicable code to use it. Reviewed-by: Ashutosh Bapat <ashutosh.bapat@enterprisedb.com> Reviewed-by: Kyotaro Horiguchi <horikyota.ntt@gmail.com> Reviewed-by: Michael Paquier <michael@paquier.xyz> Discussion: https://www.postgresql.org/message-id/flat/CAExHW5ub5NaTELZ3hJUCE6amuvqAtsSxc7O+uK7y4t9Rrk23cw@mail.gmail.com |
5 years ago |
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6ee479abfc |
Fix invalid array access in trgm_regexp.c.
Brown-paper-bag bug in 08c0d6ad6: I missed one place that needed to guard against RAINBOW arc colors. Remarkably, nothing noticed the invalid array access except buildfarm member thorntail. Thanks to Noah Misch for assistance with tracking this down. |
5 years ago |
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08c0d6ad65 |
Invent "rainbow" arcs within the regex engine.
Some regular expression constructs, most notably the "." match-anything metacharacter, produce a sheaf of parallel NFA arcs covering all possible colors (that is, character equivalence classes). We can make a noticeable improvement in the space and time needed to process large regexes by replacing such cases with a single arc bearing the special color code "RAINBOW". This requires only minor additional complication in places such as pull() and push(). Callers of pg_reg_getoutarcs() must now be prepared for the possibility of seeing a RAINBOW arc. For the one known user, contrib/pg_trgm, that's a net benefit since it cuts the number of arcs to be dealt with, and the handling isn't any different than for other colors that contain too many characters to be dealt with individually. This is part of a patch series that in total reduces the regex engine's runtime by about a factor of four on a large corpus of real-world regexes. Patch by me, reviewed by Joel Jacobson Discussion: https://postgr.es/m/1340281.1613018383@sss.pgh.pa.us |
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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927f453a94 |
Fix tuple routing to initialize batching only for inserts
A cross-partition update on a partitioned table is implemented as a delete followed by an insert. With foreign partitions, this was however causing issues, because the FDW and core may disagree on when to enable batching. postgres_fdw was only allowing batching for plain inserts (CMD_INSERT) while core was trying to batch the insert component of the cross-partition update. Fix by restricting core to apply batching only to plain CMD_INSERT queries. It's possible to allow batching for cross-partition updates, but that will require more extensive changes, so better to leave that for a separate patch. Author: Amit Langote Reviewed-by: Tomas Vondra, Takayuki Tsunakawa Discussion: https://postgr.es/m/20200628151002.7x5laxwpgvkyiu3q@development |
5 years ago |
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0e392fcc0d |
Use errmsg_internal for debug messages
An inconsistent set of debug-level messages was not using errmsg_internal(), thus uselessly exposing the messages to translation work. Fix those. |
5 years ago |
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46d6e5f567 |
Display the time when the process started waiting for the lock, in pg_locks, take 2
This commit adds new column "waitstart" into pg_locks view. This column reports the time when the server process started waiting for the lock if the lock is not held. This information is useful, for example, when examining the amount of time to wait on a lock by subtracting "waitstart" in pg_locks from the current time, and identify the lock that the processes are waiting for very long. This feature uses the current time obtained for the deadlock timeout timer as "waitstart" (i.e., the time when this process started waiting for the lock). Since getting the current time newly can cause overhead, we reuse the already-obtained time to avoid that overhead. Note that "waitstart" is updated without holding the lock table's partition lock, to avoid the overhead by additional lock acquisition. This can cause "waitstart" in pg_locks to become NULL for a very short period of time after the wait started even though "granted" is false. This is OK in practice because we can assume that users are likely to look at "waitstart" when waiting for the lock for a long time. The first attempt of this patch (commit |
5 years ago |
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9e596b65f4 |
Add "LP_DEAD item?" column to GiST pageinspect functions
This brings gist_page_items() and gist_page_items_bytea() in line with
nbtree's bt_page_items() function.
Minor follow-up to commit
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5 years ago |
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fa41cf8f18 |
Avoid misinterpreting GiST pages in pageinspect.
GistPageSetDeleted() sets pd_lower when deleting a page, and sets the
page contents to a GISTDeletedPageContents. Avoid treating deleted GiST
pages as regular slotted pages within pageinspect.
Oversight in commit
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5 years ago |