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${ noResults }
159 Commits (6e0cb3dec10e460288d68a128e3d79d16a230cdb)
Author | SHA1 | Message | Date |
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6e0cb3dec1 |
postgres_fdw: Allow postgres_fdw.application_name to include escape sequences.
application_name that used when postgres_fdw establishes a connection to a foreign server can be specified in either or both a connection parameter of a server object and GUC postgres_fdw.application_name. This commit allows those parameters to include escape sequences that begins with % character. Then postgres_fdw replaces those escape sequences with status information. For example, %d and %u are replaced with user name and database name in local server, respectively. This feature enables us to add information more easily to track remote transactions or queries, into application_name of a remote connection. Author: Hayato Kuroda Reviewed-by: Kyotaro Horiguchi, Masahiro Ikeda, Hou Zhijie, Fujii Masao Discussion: https://postgr.es/m/TYAPR01MB5866FAE71C66547C64616584F5EB9@TYAPR01MB5866.jpnprd01.prod.outlook.com Discussion: https://postgr.es/m/TYCPR01MB5870D1E8B949DAF6D3B84E02F5F29@TYCPR01MB5870.jpnprd01.prod.outlook.com |
4 years ago |
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2e577c9446 |
Remove assertion for ALTER TABLE .. DETACH PARTITION CONCURRENTLY
One code path related to this flavor of ALTER TABLE was checking that
the relation to detach has to be a normal table or a partitioned table,
which would fail if using the command with a different relation kind.
Views, sequences and materialized views cannot be part of a partition
tree, so these would cause the command to fail anyway, but the assertion
was triggered. Foreign tables can be part of a partition tree, and
again the assertion would have failed. The simplest solution is just to
remove this assertion, so as we get the same failure as the
non-concurrent code path.
While on it, add a regression test in postgres_fdw for the concurrent
partition detach of a foreign table, as per a suggestion from Alexander
Lakhin.
Issue introduced in
|
4 years ago |
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aa12781b0d |
Improve publication error messages
Commit
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4 years ago |
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f8abb0f5e1 |
postgres_fdw: suppress casts on constants in limited cases.
When deparsing an expression of the form "remote_var OP constant", we'd normally apply a cast to the constant to make sure that the remote parser thinks it's of the same type we do. However, doing so is often not necessary, and it causes problems if the user has intentionally declared the local column as being of a different type than the remote column. A plausible use-case for that is using text to represent a type that's an enum on the remote side. A comparison on such a column will get shipped as "var = 'foo'::text", which blows up on the remote side because there's no enum = text operator. But if we simply leave off the explicit cast, the comparison will do exactly what the user wants. It's possible to do this without major risk of semantic problems, by relying on the longstanding parser heuristic that "if one operand of an operator is of type unknown, while the other one has a known type, assume that the unknown operand is also of that type". Hence, this patch leaves off the cast only if (a) the operator inputs have the same type locally; (b) the constant will print as a string literal or NULL, both of which are initially taken as type unknown; and (c) the non-Const input is a plain foreign Var. Rule (c) guarantees that the remote parser will know the type of the non-Const input; moreover, it means that if this cast-omission does cause any semantic surprises, that can only happen in cases where the local column has a different type than the remote column. That wasn't guaranteed to work anyway, and this patch should represent a net usability gain for such cases. One point that I (tgl) remain slightly uncomfortable with is that we will ignore an implicit RelabelType when deciding if the non-Const input is a plain Var. That makes it a little squishy to argue that the remote should resolve the Const as being of the same type as its Var, because then our Const is not the same type as our Var. However, if we don't do that, then this hack won't work as desired if the user chooses to use varchar rather than text to represent some remote column. That seems useful, so do it like this for now. We might have to give up the RelabelType-ignoring bit if any problems surface. Dian Fay, with review and kibitzing by me Discussion: https://postgr.es/m/C9LU294V7K4F.34LRRDU449O45@lamia |
4 years ago |
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5fedf7417b |
Improve HINT message that FDW reports when there are no valid options.
The foreign data wrapper's validator function provides a HINT message with list of valid options for the object specified in CREATE or ALTER command, when the option given in the command is invalid. Previously postgresql_fdw_validator() and the validator functions for postgres_fdw and dblink_fdw worked in that way even there were no valid options in the object, which could lead to the HINT message with empty list (because there were no valid options). For example, ALTER FOREIGN DATA WRAPPER postgres_fdw OPTIONS (format 'csv') reported the following ERROR and HINT messages. This behavior was confusing. ERROR: invalid option "format" HINT: Valid options in this context are: There is no such issue in file_fdw. The validator function for file_fdw reports the HINT message "There are no valid options in this context." instead in that case. This commit improves postgresql_fdw_validator() and the validator functions for postgres_fdw and dblink_fdw so that they do likewise. For example, this change causes the above ALTER FOREIGN DATA WRAPPER command to report the following messages. ERROR: invalid option "nonexistent" HINT: There are no valid options in this context. Author: Kosei Masumura Reviewed-by: Bharath Rupireddy, Fujii Masao Discussion: https://postgr.es/m/557d06cebe19081bfcc83ee2affc98d3@oss.nttdata.com |
4 years ago |
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3071bbfe44 |
Fix null-pointer crash in postgres_fdw's conversion_error_callback.
Commit
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4 years ago |
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b073c3ccd0 |
Revoke PUBLIC CREATE from public schema, now owned by pg_database_owner.
This switches the default ACL to what the documentation has recommended since CVE-2018-1058. Upgrades will carry forward any old ownership and ACL. Sites that declined the 2018 recommendation should take a fresh look. Recipes for commissioning a new database cluster from scratch may need to create a schema, grant more privileges, etc. Out-of-tree test suites may require such updates. Reviewed by Peter Eisentraut. Discussion: https://postgr.es/m/20201031163518.GB4039133@rfd.leadboat.com |
4 years ago |
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98dbef90eb |
postgres_fdw: Revert unstable tests for postgres_fdw.application_name.
Commit
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4 years ago |
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449ab63505 |
postgres_fdw: Allow application_name of remote connection to be set via GUC.
This commit adds postgres_fdw.application_name GUC which specifies a value for application_name configuration parameter used when postgres_fdw establishes a connection to a foreign server. This GUC setting always overrides application_name option of the foreign server object. This GUC is useful when we want to specify our own application_name per remote connection. Previously application_name of a remote connection could be set basically only via options of a server object. But which meant that every session connecting to the same foreign server basically should use the same application_name. Also if we want to change the setting, we had to execute "ALTER SERVER ... OPTIONS ..." command. It was inconvenient. Author: Hayato Kuroda Reviewed-by: Masahiro Ikeda, Fujii Masao Discussion: https://postgr.es/m/TYCPR01MB5870D1E8B949DAF6D3B84E02F5F29@TYCPR01MB5870.jpnprd01.prod.outlook.com |
4 years ago |
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aa769f80ed |
postgres_fdw: Fix issues with generated columns in foreign tables.
postgres_fdw imported generated columns from the remote tables as plain columns, and caused failures like "ERROR: cannot insert a non-DEFAULT value into column "foo"" when inserting into the foreign tables, as it tried to insert values into the generated columns. To fix, we do the following under the assumption that generated columns in a postgres_fdw foreign table are defined so that they represent generated columns in the underlying remote table: * Send DEFAULT for the generated columns to the foreign server on insert or update, not generated column values computed on the local server. * Add to postgresImportForeignSchema() an option "import_generated" to include column generated expressions in the definitions of foreign tables imported from a foreign server. The option is true by default. The assumption seems reasonable, because that would make a query of the postgres_fdw foreign table return values for the generated columns that are consistent with the generated expression. While here, fix another issue in postgresImportForeignSchema(): it tried to include column generated expressions as column default expressions in the foreign table definitions when the import_default option was enabled. Per bug #16631 from Daniel Cherniy. Back-patch to v12 where generated columns were added. Discussion: https://postgr.es/m/16631-e929fe9db0ffc7cf%40postgresql.org |
4 years ago |
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5d44fff01e |
In postgres_fdw, allow CASE expressions to be pushed to the remote server.
This is simple enough except for the need to check whether CaseTestExpr nodes have a collation that is not derived from a remote Var. For that, examine the CASE's "arg" expression and then pass that info down into the recursive examination of the WHEN expressions. Alexander Pyhalov, reviewed by Gilles Darold and myself Discussion: https://postgr.es/m/fda09032e90d85d9b726a41e03f9097f@postgrespro.ru |
4 years ago |
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1ec7fca859 |
postgres_fdw: Fix handling of pending asynchronous requests.
A pending asynchronous request is handled by process_pending_request(),
which previously not only processed an in-progress remote query but
performed ExecForeignScan() to produce a tuple to return to the local
server asynchronously from the result of the remote query. But that led
to a server crash when executing a query or led to an "InstrStartNode
called twice in a row" or "InstrEndLoop called on running node" failure
when doing EXPLAIN ANALYZE of it, in cases where the plan tree for it
contained multiple async-capable nodes accessing the same
initplan/subplan that contained multiple async-capable nodes scanning
the same foreign tables as for the parent async-capable nodes, as
reported by Andrey Lepikhov. The reason is that the second step in
process_pending_request() invoked when executing the initplan/subplan
for one of the parent async-capable nodes caused recursive execution of
the initplan/subplan for another of the parent async-capable nodes.
To fix, split process_pending_request() into the two steps and postpone
the second step until ForeignAsyncConfigureWait() is called for each of
the pending asynchronous requests. Also, in ExecAppendAsyncEventWait()
we assumed that FDWs would register at least one wait event in a
WaitEventSet created there when they were called from
ForeignAsyncConfigureWait() in that function, but allow FDWs to register
zero wait events in the WaitEventSet; modify ExecAppendAsyncEventWait()
to just return in that case.
Oversight in commit
|
4 years ago |
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83f4fcc655 |
Change the name of the Result Cache node to Memoize
"Result Cache" was never a great name for this node, but nobody managed to come up with another name that anyone liked enough. That was until David Johnston mentioned "Node Memoization", which Tom Lane revised to just "Memoize". People seem to like "Memoize", so let's do the rename. Reviewed-by: Justin Pryzby Discussion: https://postgr.es/m/20210708165145.GG1176@momjian.us Backpatch-through: 14, where Result Cache was introduced |
4 years ago |
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d68a003912 |
Rename debug_invalidate_system_caches_always to debug_discard_caches.
The name introduced by commit
|
4 years ago |
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b9734c13f1 |
Fix crash in postgres_fdw for provably-empty remote UPDATE/DELETE.
In
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4 years ago |
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d854720df6 |
postgres_fdw: Tighten up allowed values for batch_size, fetch_size options.
Previously the values such as '100$%$#$#', '9,223,372,' were accepted and treated as valid integers for postgres_fdw options batch_size and fetch_size. Whereas this is not the case with fdw_startup_cost and fdw_tuple_cost options for which an error is thrown. This was because endptr was not used while converting strings to integers using strtol. This commit changes the logic so that it uses parse_int function instead of strtol as it serves the purpose by returning false in case if it is unable to convert the string to integer. Note that this function also rounds off the values such as '100.456' to 100 and '100.567' or '100.678' to 101. While on this, use parse_real for fdw_startup_cost and fdw_tuple_cost options. Since parse_int and parse_real are being used for reloptions and GUCs, it is more appropriate to use in postgres_fdw rather than using strtol and strtod directly. Back-patch to v14. Author: Bharath Rupireddy Reviewed-by: Ashutosh Bapat, Tom Lane, Kyotaro Horiguchi, Fujii Masao Discussion: https://postgr.es/m/CALj2ACVMO6wY5Pc4oe1OCgUOAtdjHuFsBDw8R5uoYR86eWFQDA@mail.gmail.com |
4 years ago |
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c7b7311f61 |
Avoid doing catalog lookups in postgres_fdw's conversion_error_callback.
As in
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4 years ago |
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8021770909 |
Further stabilize postgres_fdw test.
The queries involving ft1_nopw don't stably return the same row anymore. I surmise that an autovacuum hitting "S 1"."T 1" right after the updates introduced by f61db909d/5843659d0 freed some space, changing where subsequent insertions get stored. It's only by good luck that these results were stable before, though, since a LIMIT without ORDER BY isn't well defined, and it's not like we've ever treated that table as append-only in this test script. Since we only really care whether these commands succeed or not, just replace "SELECT *" with "SELECT 1". Report: https://buildfarm.postgresql.org/cgi-bin/show_log.pl?nm=crake&dt=2021-06-23%2019%3A52%3A08 |
4 years ago |
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5843659d09 |
Stabilize test case added by commit f61db909d .
Buildfarm members ayu and tern have sometimes shown a different plan than expected for this query. I'd been unable to reproduce that before today, but I finally realized what is happening. If there is a concurrent open transaction (probably an autovacuum run in the buildfarm, but this can also be arranged manually), then the index entries for the rows removed by the DELETE a few lines up are not killed promptly, causing a change in the planner's estimate of the extremal value of ft2.c1, which moves the rowcount estimate for "c1 > 1100" by enough to change the join plan from nestloop to hash. To fix, change the query condition to "c1 > 1000", causing the hash plan to be preferred whether or not a concurrent open transaction exists. Since this UPDATE is tailored to be a no-op, nothing else changes. Report: https://buildfarm.postgresql.org/cgi-bin/show_log.pl?nm=ayu&dt=2021-06-09%2022%3A45%3A48 Report: https://buildfarm.postgresql.org/cgi-bin/show_log.pl?nm=ayu&dt=2021-06-13%2022%3A38%3A18 Report: https://buildfarm.postgresql.org/cgi-bin/show_log.pl?nm=tern&dt=2021-06-20%2004%3A55%3A36 |
4 years ago |
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99cea49d65 |
Fix copying data into slots with FDW batching
Commit
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4 years ago |
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cb92703384 |
Adjust batch size in postgres_fdw to not use too many parameters
The FE/BE protocol identifies parameters with an Int16 index, which limits the maximum number of parameters per query to 65535. With batching added to postges_fdw this limit is much easier to hit, as the whole batch is essentially a single query, making this error much easier to hit. The failures are a bit unpredictable, because it also depends on the number of columns in the query. So instead of just failing, this patch tweaks the batch_size to not exceed the maximum number of parameters. Reported-by: Hou Zhijie <houzj.fnst@cn.fujitsu.com> Reviewed-by: Bharath Rupireddy <bharath.rupireddyforpostgres@gmail.com> Discussion: https://postgr.es/m/OS0PR01MB571603973C0AC2874AD6BF2594299%40OS0PR01MB5716.jpnprd01.prod.outlook.com |
4 years ago |
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f3baaf28a6 |
Fix rescanning of async-aware Append nodes.
In cases where run-time pruning isn't required, the synchronous and
asynchronous subplans for an async-aware Append node determined using
classify_matching_subplans() should be re-used when rescanning the node,
but the previous code re-determined them using that function repeatedly
each time when rescanning the node, leading to incorrect results in a
normal build and an Assert failure in an Assert-enabled build as that
function doesn't assume that it's called repeatedly in such cases. Fix
the code as mentioned above.
My oversight in commit
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4 years ago |
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f61db909df |
Fix postgres_fdw failure with whole-row Vars of type RECORD.
Commit
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4 years ago |
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889592344c |
Fix planner's row-mark code for inheritance from a foreign table.
Commit
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4 years ago |
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a784859f44 |
Prevent asynchronous execution of direct foreign-table modifications.
Commits |
4 years ago |
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a363bc6da9 |
Fix EXPLAIN ANALYZE for async-capable nodes.
EXPLAIN ANALYZE for an async-capable ForeignScan node associated with
postgres_fdw is done just by using instrumentation for ExecProcNode()
called from the node's callbacks, causing the following problems:
1) If the remote table to scan is empty, the node is incorrectly
considered as "never executed" by the command even if the node is
executed, as ExecProcNode() isn't called from the node's callbacks at
all in that case.
2) The command fails to collect timings for things other than
ExecProcNode() done in the node, such as creating a cursor for the
node's remote query.
To fix these problems, add instrumentation for async-capable nodes, and
modify postgres_fdw accordingly.
My oversight in commit
|
4 years ago |
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1273a15bf9 |
Disable cache clobber to avoid breaking postgres_fdw termination test.
Commit
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4 years ago |
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8e9ea08bae |
Don't pass "ONLY" options specified in TRUNCATE to foreign data wrapper.
Commit
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4 years ago |
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93f4146144 |
Simplify tests of postgres_fdw terminating connections
The tests introduced in |
4 years ago |
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8ff1c94649 |
Allow TRUNCATE command to truncate foreign tables.
This commit introduces new foreign data wrapper API for TRUNCATE. It extends TRUNCATE command so that it accepts foreign tables as the targets to truncate and invokes that API. Also it extends postgres_fdw so that it can issue TRUNCATE command to foreign servers, by adding new routine for that TRUNCATE API. The information about options specified in TRUNCATE command, e.g., ONLY, CACADE, etc is passed to FDW via API. The list of foreign tables to truncate is also passed to FDW. FDW truncates the foreign data sources that the passed foreign tables specify, based on those information. For example, postgres_fdw constructs TRUNCATE command using them and issues it to the foreign server. For performance, TRUNCATE command invokes the FDW routine for TRUNCATE once per foreign server that foreign tables to truncate belong to. Author: Kazutaka Onishi, Kohei KaiGai, slightly modified by Fujii Masao Reviewed-by: Bharath Rupireddy, Michael Paquier, Zhihong Yu, Alvaro Herrera, Stephen Frost, Ashutosh Bapat, Amit Langote, Daniel Gustafsson, Ibrar Ahmed, Fujii Masao Discussion: https://postgr.es/m/CAOP8fzb_gkReLput7OvOK+8NHgw-RKqNv59vem7=524krQTcWA@mail.gmail.com Discussion: https://postgr.es/m/CAJuF6cMWDDqU-vn_knZgma+2GMaout68YUgn1uyDnexRhqqM5Q@mail.gmail.com |
4 years ago |
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a3740c48eb |
postgres_fdw: Allow partitions specified in LIMIT TO to be imported.
Commit
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4 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 |
4 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 |
4 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 |
4 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 |
4 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 |
4 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 |
4 years ago |
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0ba71107ef |
Revert changes for SSL compression in libpq
This partially reverts |
4 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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4 years ago |
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f9264d1524 |
Remove support for SSL compression
PostgreSQL disabled compression as of
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4 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 |
4 years ago |
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5e7fa189ee |
postgres_fdw: Fix assertion in estimate_path_cost_size().
Commit
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4 years ago |
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f77717b298 |
postgres_fdw: Fix tests for CLOBBER_CACHE_ALWAYS.
The regression tests added in commits |
4 years ago |
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0c3fc09fe3 |
postgres_fdw: Fix test failure with -DENFORCE_REGRESSION_TEST_NAME_RESTRICTIONS
The roles created by regression test should have names starting with
"regress_", and the test introduced in commit
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4 years ago |
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6adc5376dc |
postgres_fdw: Stabilize regression test for postgres_fdw_disconnect_all().
The regression test added in commit
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4 years ago |
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411ae64997 |
postgres_fdw: Add functions to discard cached connections.
This commit introduces two new functions postgres_fdw_disconnect() and postgres_fdw_disconnect_all(). The former function discards the cached connections to the specified foreign server. The latter discards all the cached connections. If the connection is used in the current transaction, it's not closed and a warning message is emitted. For example, these functions are useful when users want to explicitly close the foreign server connections that are no longer necessary and then to prevent them from eating up the foreign servers connections capacity. Author: Bharath Rupireddy, tweaked a bit by Fujii Masao Reviewed-by: Alexey Kondratov, Zhijie Hou, Zhihong Yu, Fujii Masao Discussion: https://postgr.es/m/CALj2ACVvrp5=AVp2PupEm+nAC8S4buqR3fJMmaCoc7ftT0aD2A@mail.gmail.com |
4 years ago |
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b663a41363 |
Implement support for bulk inserts in postgres_fdw
Extends the FDW API to allow batching inserts into foreign tables. That is usually much more efficient than inserting individual rows, due to high latency for each round-trip to the foreign server. It was possible to implement something similar in the regular FDW API, but it was inconvenient and there were issues with reporting the number of actually inserted rows etc. This extends the FDW API with two new functions: * GetForeignModifyBatchSize - allows the FDW picking optimal batch size * ExecForeignBatchInsert - inserts a batch of rows at once Currently, only INSERT queries support batching. Support for DELETE and UPDATE may be added in the future. This also implements batching for postgres_fdw. The batch size may be specified using "batch_size" option both at the server and table level. The initial patch version was written by me, but it was rewritten and improved in many ways by Takayuki Tsunakawa. Author: Takayuki Tsunakawa Reviewed-by: Tomas Vondra, Amit Langote Discussion: https://postgr.es/m/20200628151002.7x5laxwpgvkyiu3q@development |
5 years ago |
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708d165ddb |
postgres_fdw: Add function to list cached connections to foreign servers.
This commit adds function postgres_fdw_get_connections() to return the foreign server names of all the open connections that postgres_fdw established from the local session to the foreign servers. This function also returns whether each connection is valid or not. This function is useful when checking all the open foreign server connections. If we found some connection to drop, from the result of function, probably we can explicitly close them by the function that upcoming commit will add. This commit bumps the version of postgres_fdw to 1.1 since it adds new function. Author: Bharath Rupireddy, tweaked by Fujii Masao Reviewed-by: Zhijie Hou, Alexey Kondratov, Zhihong Yu, Fujii Masao Discussion: https://postgr.es/m/2d5cb0b3-a6e8-9bbb-953f-879f47128faa@oss.nttdata.com |
5 years ago |
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e3ebcca843 |
postgres_fdw: Fix connection leak.
In postgres_fdw, the cached connections to foreign servers will not be closed until the local session exits if the user mappings or foreign servers that those connections depend on are dropped. Those connections can be leaked. To fix that connection leak issue, after a change to a pg_foreign_server or pg_user_mapping catalog entry, this commit makes postgres_fdw close the connections depending on that entry immediately if current transaction has not used those connections yet. Otherwise, mark those connections as invalid and then close them at the end of current transaction, since they cannot be closed in the midst of the transaction using them. Closed connections will be remade at the next opportunity if necessary. Back-patch to all supported branches. Author: Bharath Rupireddy Reviewed-by: Zhihong Yu, Zhijie Hou, Fujii Masao Discussion: https://postgr.es/m/CALj2ACVNcGH_6qLY-4_tXz8JLvA+4yeBThRfxMz7Oxbk1aHcpQ@mail.gmail.com |
5 years ago |
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85d08b8b72 |
Band-aid new postgres_fdw test case to remove error text dependency.
Buildfarm member lorikeet is still failing the test from commit
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5 years ago |