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* Rename JsonIsPredicate.value_type, fix JSON backend/nodes/ infrastructure.Tom Lane2022-05-13
| | | | | | | | | | | | | | | | | | | | | I started out with the intention to rename value_type to item_type to avoid a collision with a typedef name that appears on some platforms. Along the way, I noticed that the adjacent field "format" was not being correctly handled by the backend/nodes/ infrastructure functions: copyfuncs.c erroneously treated it as a scalar, while equalfuncs, outfuncs, and readfuncs omitted handling it at all. This looks like it might be cosmetic at the moment because the field is always NULL after parse analysis; but that's likely a bug in itself, and the code's certainly not very future-proof. Let's fix it while we can still do so without forcing an initdb on beta testers. Further study found a few other inconsistencies in the backend/nodes/ infrastructure for the recently-added JSON node types, so fix those too. catversion bumped because of potential change in stored rules. Discussion: https://postgr.es/m/526703.1652385613@sss.pgh.pa.us
* PLAN clauses for JSON_TABLEAndrew Dunstan2022-04-05
| | | | | | | | | | | | | | | | | | | | These clauses allow the user to specify how data from nested paths are joined, allowing considerable freedom in shaping the tabular output of JSON_TABLE. PLAN DEFAULT allows the user to specify the global strategies when dealing with sibling or child nested paths. The is often sufficient to achieve the necessary goal, and is considerably simpler than the full PLAN clause, which allows the user to specify the strategy to be used for each named nested path. Nikita Glukhov Reviewers have included (in no particular order) Andres Freund, Alexander Korotkov, Pavel Stehule, Andrew Alsup, Erik Rijkers, Zhihong Yu, Himanshu Upadhyaya, Daniel Gustafsson, Justin Pryzby. Discussion: https://postgr.es/m/7e2cb85d-24cf-4abb-30a5-1a33715959bd@postgrespro.ru
* SQL/JSON query functionsAndrew Dunstan2022-03-29
| | | | | | | | | | | | | | | | | | | | | | | | | | | This introduces the SQL/JSON functions for querying JSON data using jsonpath expressions. The functions are: JSON_EXISTS() JSON_QUERY() JSON_VALUE() All of these functions only operate on jsonb. The workaround for now is to cast the argument to jsonb. JSON_EXISTS() tests if the jsonpath expression applied to the jsonb value yields any values. JSON_VALUE() must return a single value, and an error occurs if it tries to return multiple values. JSON_QUERY() must return a json object or array, and there are various WRAPPER options for handling scalar or multi-value results. Both these functions have options for handling EMPTY and ERROR conditions. Nikita Glukhov Reviewers have included (in no particular order) Andres Freund, Alexander Korotkov, Pavel Stehule, Andrew Alsup, Erik Rijkers, Zihong Yu, Himanshu Upadhyaya, Daniel Gustafsson, Justin Pryzby. Discussion: https://postgr.es/m/cd0bb935-0158-78a7-08b5-904886deac4b@postgrespro.ru
* IS JSON predicateAndrew Dunstan2022-03-28
| | | | | | | | | | | | | | | | | | | | | | | | | This patch intrdocuces the SQL standard IS JSON predicate. It operates on text and bytea values representing JSON as well as on the json and jsonb types. Each test has an IS and IS NOT variant. The tests are: IS JSON [VALUE] IS JSON ARRAY IS JSON OBJECT IS JSON SCALAR IS JSON WITH | WITHOUT UNIQUE KEYS These are mostly self-explanatory, but note that IS JSON WITHOUT UNIQUE KEYS is true whenever IS JSON is true, and IS JSON WITH UNIQUE KEYS is true whenever IS JSON is true except it IS JSON OBJECT is true and there are duplicate keys (which is never the case when applied to jsonb values). Nikita Glukhov Reviewers have included (in no particular order) Andres Freund, Alexander Korotkov, Pavel Stehule, Andrew Alsup, Erik Rijkers, Zihong Yu, Himanshu Upadhyaya, Daniel Gustafsson, Justin Pryzby. Discussion: https://postgr.es/m/cd0bb935-0158-78a7-08b5-904886deac4b@postgrespro.ru
* SQL/JSON constructorsAndrew Dunstan2022-03-27
| | | | | | | | | | | | | | | | | | | | | | | | | | | | This patch introduces the SQL/JSON standard constructors for JSON: JSON() JSON_ARRAY() JSON_ARRAYAGG() JSON_OBJECT() JSON_OBJECTAGG() For the most part these functions provide facilities that mimic existing json/jsonb functions. However, they also offer some useful additional functionality. In addition to text input, the JSON() function accepts bytea input, which it will decode and constuct a json value from. The other functions provide useful options for handling duplicate keys and null values. This series of patches will be followed by a consolidated documentation patch. Nikita Glukhov Reviewers have included (in no particular order) Andres Freund, Alexander Korotkov, Pavel Stehule, Andrew Alsup, Erik Rijkers, Zihong Yu, Himanshu Upadhyaya, Daniel Gustafsson, Justin Pryzby. Discussion: https://postgr.es/m/cd0bb935-0158-78a7-08b5-904886deac4b@postgrespro.ru
* Common SQL/JSON clausesAndrew Dunstan2022-03-27
| | | | | | | | | | | | | | | | | This introduces some of the building blocks used by the SQL/JSON constructor and query functions. Specifically, it provides node executor and grammar support for the FORMAT JSON [ENCODING foo] clause, and values decorated with it, and for the RETURNING clause. The following SQL/JSON patches will leverage these. Nikita Glukhov (who probably deserves an award for perseverance). Reviewers have included (in no particular order) Andres Freund, Alexander Korotkov, Pavel Stehule, Andrew Alsup, Erik Rijkers, Zihong Yu, Himanshu Upadhyaya, Daniel Gustafsson, Justin Pryzby. Discussion: https://postgr.es/m/cd0bb935-0158-78a7-08b5-904886deac4b@postgrespro.ru
* Revert "Common SQL/JSON clauses"Andrew Dunstan2022-03-22
| | | | | | This reverts commit 865fe4d5df560a6f5353da652018ff876978ad2d. This has caused issues with a significant number of buildfarm members
* Common SQL/JSON clausesAndrew Dunstan2022-03-22
| | | | | | | | | | | | | | | | | This introduces some of the building blocks used by the SQL/JSON constructor and query functions. Specifically, it provides node executor and grammar support for the FORMAT JSON [ENCODING foo] clause, and values decorated with it, and for the RETURNING clause. The following SQL/JSON patches will leverage these. Nikita Glukhov (who probably deserves an award for perseverance). Reviewers have included (in no particular order) Andres Freund, Alexander Korotkov, Pavel Stehule, Andrew Alsup. Erik Rijkers, Zihong Yu and Himanshu Upadhyaya. Discussion: https://postgr.es/m/cd0bb935-0158-78a7-08b5-904886deac4b@postgrespro.ru
* Add UNIQUE null treatment optionPeter Eisentraut2022-02-03
| | | | | | | | | | | | | | | | | | | | | | | | | The SQL standard has been ambiguous about whether null values in unique constraints should be considered equal or not. Different implementations have different behaviors. In the SQL:202x draft, this has been formalized by making this implementation-defined and adding an option on unique constraint definitions UNIQUE [ NULLS [NOT] DISTINCT ] to choose a behavior explicitly. This patch adds this option to PostgreSQL. The default behavior remains UNIQUE NULLS DISTINCT. Making this happen in the btree code is pretty easy; most of the patch is just to carry the flag around to all the places that need it. The CREATE UNIQUE INDEX syntax extension is not from the standard, it's my own invention. I named all the internal flags, catalog columns, etc. in the negative ("nulls not distinct") so that the default PostgreSQL behavior is the default if the flag is false. Reviewed-by: Maxim Orlov <orlovmg@gmail.com> Reviewed-by: Pavel Borisov <pashkin.elfe@gmail.com> Discussion: https://www.postgresql.org/message-id/flat/84e5ee1b-387e-9a54-c326-9082674bde78@enterprisedb.com
* Fix memory leak in indexUnchanged hint mechanism.Peter Geoghegan2022-01-12
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Commit 9dc718bd added a "logically unchanged by UPDATE" hinting mechanism, which is currently used within nbtree indexes only (see commit d168b666). This mechanism determined whether or not the incoming item is a logically unchanged duplicate (a duplicate needed only for MVCC versioning purposes) once per row updated per non-HOT update. This approach led to memory leaks which were noticeable with an UPDATE statement that updated sufficiently many rows, at least on tables that happen to have an expression index. On HEAD, fix the issue by adding a cache to the executor's per-index IndexInfo struct. Take a different approach on Postgres 14 to avoid an ABI break: simply pass down the hint to all indexes unconditionally with non-HOT UPDATEs. This is deemed acceptable because the hint is currently interpreted within btinsert() as "perform a bottom-up index deletion pass if and when the only alternative is splitting the leaf page -- prefer to delete any LP_DEAD-set items first". nbtree must always treat the hint as a noisy signal about what might work, as a strategy of last resort, with costs imposed on non-HOT updaters. (The same thing might not be true within another index AM that applies the hint, which is why the original behavior is preserved on HEAD.) Author: Peter Geoghegan <pg@bowt.ie> Reported-By: Klaudie Willis <Klaudie.Willis@protonmail.com> Diagnosed-By: Tom Lane <tgl@sss.pgh.pa.us> Discussion: https://postgr.es/m/261065.1639497535@sss.pgh.pa.us Backpatch: 14-, where the hinting mechanism was added.
* Update copyright for 2022Bruce Momjian2022-01-07
| | | | Backpatch-through: 10
* Remove arbitrary 64K-or-so limit on rangetable size.Tom Lane2021-09-15
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Up to now the size of a query's rangetable has been limited by the constants INNER_VAR et al, which mustn't be equal to any real rangetable index. 65000 doubtless seemed like enough for anybody, and it still is orders of magnitude larger than the number of joins we can realistically handle. However, we need a rangetable entry for each child partition that is (or might be) processed by a query. Queries with a few thousand partitions are getting more realistic, so that the day when that limit becomes a problem is in sight, even if it's not here yet. Hence, let's raise the limit. Rather than just increase the values of INNER_VAR et al, this patch adopts the approach of making them small negative values, so that rangetables could theoretically become as long as INT_MAX. The bulk of the patch is concerned with changing Var.varno and some related variables from "Index" (unsigned int) to plain "int". This is basically cosmetic, with little actual effect other than to help debuggers print their values nicely. As such, I've only bothered with changing places that could actually see INNER_VAR et al, which the parser and most of the planner don't. We do have to be careful in places that are performing less/greater comparisons on varnos, but there are very few such places, other than the IS_SPECIAL_VARNO macro itself. A notable side effect of this patch is that while it used to be possible to add INNER_VAR et al to a Bitmapset, that will now draw an error. I don't see any likelihood that it wouldn't be a bug to include these fake varnos in a bitmapset of real varnos, so I think this is all to the good. Although this touches outfuncs/readfuncs, I don't think a catversion bump is required, since stored rules would never contain Vars with these fake varnos. Andrey Lepikhov and Tom Lane, after a suggestion by Peter Eisentraut Discussion: https://postgr.es/m/43c7f2f5-1e27-27aa-8c65-c91859d15190@postgrespro.ru
* Update copyright for 2021Bruce Momjian2021-01-02
| | | | Backpatch-through: 9.5
* Improve our ability to regurgitate SQL-syntax function calls.Tom Lane2020-11-04
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The SQL spec calls out nonstandard syntax for certain function calls, for example substring() with numeric position info is supposed to be spelled "SUBSTRING(string FROM start FOR count)". We accept many of these things, but up to now would not print them in the same format, instead simplifying down to "substring"(string, start, count). That's long annoyed me because it creates an interoperability problem: we're gratuitously injecting Postgres-specific syntax into what might otherwise be a perfectly spec-compliant view definition. However, the real reason for addressing it right now is to support a planned change in the semantics of EXTRACT() a/k/a date_part(). When we switch that to returning numeric, we'll have the parser translate EXTRACT() to some new function name (might as well be "extract" if you ask me) and then teach ruleutils.c to reverse-list that per SQL spec. In this way existing calls to date_part() will continue to have the old semantics. To implement this, invent a new CoercionForm value COERCE_SQL_SYNTAX, and make the parser insert that rather than COERCE_EXPLICIT_CALL when the input has SQL-spec decoration. (But if the input has the form of a plain function call, continue to mark it COERCE_EXPLICIT_CALL, even if it's calling one of these functions.) Then ruleutils.c recognizes COERCE_SQL_SYNTAX as a cue to emit SQL call syntax. It can know which decoration to emit using hard-wired knowledge about the functions that could be called this way. (While this solution isn't extensible without manual additions, neither is the grammar, so this doesn't seem unmaintainable.) Notice that this solution will reverse-list a function call with SQL decoration only if it was entered that way; so dump-and-reload will not by itself produce any changes in the appearance of views. This requires adding a CoercionForm field to struct FuncCall. (I couldn't resist the temptation to rearrange that struct's field order a tad while I was at it.) FuncCall doesn't appear in stored rules, so that change isn't a reason for a catversion bump, but I did one anyway because the new enum value for CoercionForm fields could confuse old backend code. Possible future work: * Perhaps CoercionForm should now be renamed to DisplayForm, or something like that, to reflect its more general meaning. This'd require touching a couple hundred places, so it's not clear it's worth the code churn. * The SQLValueFunction node type, which was invented partly for the same goal of improving SQL-compatibility of view output, could perhaps be replaced with regular function calls marked with COERCE_SQL_SYNTAX. It's unclear if this would be a net code savings, however. Discussion: https://postgr.es/m/42b73d2d-da12-ba9f-570a-420e0cce19d9@phystech.edu
* Don't create pg_type entries for sequences or toast tables.Tom Lane2020-07-07
| | | | | | | | | | | | | | | | | | | | | | | | | | | Commit f7f70d5e2 left one inconsistency behind: we're still creating pg_type entries for the composite types of sequences and toast tables, but not arrays over those composites. But there seems precious little reason to have named composite types for toast tables, and not much more to have them for sequences (especially given the thought that sequences may someday not be standalone relations at all). So, let's close that inconsistency by removing these composite types, rather than adding arrays for them. This buys back a little bit of the initial pg_type bloat added by the previous patch, and could be a significant savings in a large database with many toast tables. Aside from a small logic rearrangement in heap_create_with_catalog, this patch mostly needs to clean up some places that were assuming that pg_class.reltype always has a valid value. Those are really pre-existing bugs, given that it's documented otherwise; notably, the plpgsql changes fix code that gives "cache lookup failed for type 0" on indexes today. But none of these seem interesting enough to back-patch. Also, remove the pg_dump/pg_upgrade infrastructure for propagating a toast table's pg_type OID into the new database, since we no longer need that. Discussion: https://postgr.es/m/761F1389-C6A8-4C15-80CE-950C961F5341@gmail.com
* Implement operator class parametersAlexander Korotkov2020-03-30
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | PostgreSQL provides set of template index access methods, where opclasses have much freedom in the semantics of indexing. These index AMs are GiST, GIN, SP-GiST and BRIN. There opclasses define representation of keys, operations on them and supported search strategies. So, it's natural that opclasses may be faced some tradeoffs, which require user-side decision. This commit implements opclass parameters allowing users to set some values, which tell opclass how to index the particular dataset. This commit doesn't introduce new storage in system catalog. Instead it uses pg_attribute.attoptions, which is used for table column storage options but unused for index attributes. In order to evade changing signature of each opclass support function, we implement unified way to pass options to opclass support functions. Options are set to fn_expr as the constant bytea expression. It's possible due to the fact that opclass support functions are executed outside of expressions, so fn_expr is unused for them. This commit comes with some examples of opclass options usage. We parametrize signature length in GiST. That applies to multiple opclasses: tsvector_ops, gist__intbig_ops, gist_ltree_ops, gist__ltree_ops, gist_trgm_ops and gist_hstore_ops. Also we parametrize maximum number of integer ranges for gist__int_ops. However, the main future usage of this feature is expected to be json, where users would be able to specify which way to index particular json parts. Catversion is bumped. Discussion: https://postgr.es/m/d22c3a18-31c7-1879-fc11-4c1ce2f5e5af%40postgrespro.ru Author: Nikita Glukhov, revised by me Reviwed-by: Nikolay Shaplov, Robert Haas, Tom Lane, Tomas Vondra, Alvaro Herrera
* Reconsider the representation of join alias Vars.Tom Lane2020-01-09
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The core idea of this patch is to make the parser generate join alias Vars (that is, ones with varno pointing to a JOIN RTE) only when the alias Var is actually different from any raw join input, that is a type coercion and/or COALESCE is necessary to generate the join output value. Otherwise just generate varno/varattno pointing to the relevant join input column. In effect, this means that the planner's flatten_join_alias_vars() transformation is already done in the parser, for all cases except (a) columns that are merged by JOIN USING and are transformed in the process, and (b) whole-row join Vars. In principle that would allow us to skip doing flatten_join_alias_vars() in many more queries than we do now, but we don't have quite enough infrastructure to know that we can do so --- in particular there's no cheap way to know whether there are any whole-row join Vars. I'm not sure if it's worth the trouble to add a Query-level flag for that, and in any case it seems like fit material for a separate patch. But even without skipping the work entirely, this should make flatten_join_alias_vars() faster, particularly where there are nested joins that it previously had to flatten recursively. An essential part of this change is to replace Var nodes' varnoold/varoattno fields with varnosyn/varattnosyn, which have considerably more tightly-defined meanings than the old fields: when they differ from varno/varattno, they identify the Var's position in an aliased JOIN RTE, and the join alias is what ruleutils.c should print for the Var. This is necessary because the varno change destroyed ruleutils.c's ability to find the JOIN RTE from the Var's varno. Another way in which this change broke ruleutils.c is that it's no longer feasible to determine, from a JOIN RTE's joinaliasvars list, which join columns correspond to which columns of the join's immediate input relations. (If those are sub-joins, the joinaliasvars entries may point to columns of their base relations, not the sub-joins.) But that was a horrid mess requiring a lot of fragile assumptions already, so let's just bite the bullet and add some more JOIN RTE fields to make it more straightforward to figure that out. I added two integer-List fields containing the relevant column numbers from the left and right input rels, plus a count of how many merged columns there are. This patch depends on the ParseNamespaceColumn infrastructure that I added in commit 5815696bc. The biggest bit of code change is restructuring transformFromClauseItem's handling of JOINs so that the ParseNamespaceColumn data is propagated upward correctly. Other than that and the ruleutils fixes, everything pretty much just works, though some processing is now inessential. I grabbed two pieces of low-hanging fruit in that line: 1. In find_expr_references, we don't need to recurse into join alias Vars anymore. There aren't any except for references to merged USING columns, which are more properly handled when we scan the join's RTE. This change actually fixes an edge-case issue: we will now record a dependency on any type-coercion function present in a USING column's joinaliasvar, even if that join column has no references in the query text. The odds of the missing dependency causing a problem seem quite small: you'd have to posit somebody dropping an implicit cast between two data types, without removing the types themselves, and then having a stored rule containing a whole-row Var for a join whose USING merge depends on that cast. So I don't feel a great need to change this in the back branches. But in theory this way is more correct. 2. markRTEForSelectPriv and markTargetListOrigin don't need to recurse into join alias Vars either, because the cases they care about don't apply to alias Vars for USING columns that are semantically distinct from the underlying columns. This removes the only case in which markVarForSelectPriv could be called with NULL for the RTE, so adjust the comments to describe that hack as being strictly internal to markRTEForSelectPriv. catversion bump required due to changes in stored rules. Discussion: https://postgr.es/m/7115.1577986646@sss.pgh.pa.us
* Update copyrights for 2020Bruce Momjian2020-01-01
| | | | Backpatch-through: update all files in master, backpatch legal files through 9.4
* Remove fmgr.h includes from headers that don't really need it.Andres Freund2019-08-16
| | | | | | | | | Most of the fmgr.h includes were obsoleted by 352a24a1f9d6f7d4abb1. A few others can be obsoleted using the underlying struct type in an implementation detail. Author: Andres Freund Discussion: https://postgr.es/m/20190803193733.g3l3x3o42uv4qj7l@alap3.anarazel.de
* Fix handling of expressions and predicates in REINDEX CONCURRENTLYMichael Paquier2019-07-29
| | | | | | | | | | | | | | | | | | | | | | | When copying the definition of an index rebuilt concurrently for the new entry, the index information was taken directly from the old index using the relation cache. In this case, predicates and expressions have some post-processing to prepare things for the planner, which loses some information including the collations added in any of them. This inconsistency can cause issues when attempting for example a table rewrite, and makes the new indexes rebuilt concurrently inconsistent with the old entries. In order to fix the problem, fetch expressions and predicates directly from the catalog of the old entry, and fill in IndexInfo for the new index with that. This makes the process more consistent with DefineIndex(), and the code is refactored with the addition of a routine to create an IndexInfo node. Reported-by: Manuel Rigger Author: Michael Paquier Discussion: https://postgr.es/m/CA+u7OA5Hp0ra235F3czPom_FyAd-3+XwSJmX95r1+sRPOJc9VQ@mail.gmail.com Backpatch-through: 12
* Make some small planner API cleanups.Tom Lane2019-01-29
| | | | | | | | | | | | | | | | | | | | | | Move a few very simple node-creation and node-type-testing functions from the planner's clauses.c to nodes/makefuncs and nodes/nodeFuncs. There's nothing planner-specific about them, as evidenced by the number of other places that were using them. While at it, rename and_clause() etc to is_andclause() etc, to clarify that they are node-type-testing functions not node-creation functions. And use "static inline" implementations for the shortest ones. Also, modify flatten_join_alias_vars() and some subsidiary functions to take a Query not a PlannerInfo to define the join structure that Vars should be translated according to. They were only using the "parse" field of the PlannerInfo anyway, so this just requires removing one level of indirection. The advantage is that now parse_agg.c can use flatten_join_alias_vars() without the horrid kluge of creating an incomplete PlannerInfo, which will allow that file to be decoupled from relation.h in a subsequent patch. Discussion: https://postgr.es/m/11460.1548706639@sss.pgh.pa.us
* Update copyright for 2019Bruce Momjian2019-01-02
| | | | Backpatch-through: certain files through 9.4
* Revise attribute handling code on partition creationAlvaro Herrera2018-11-08
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The original code to propagate NOT NULL and default expressions specified when creating a partition was mostly copy-pasted from typed-tables creation, but not being a great match it contained some duplicity, inefficiency and bugs. This commit fixes the bug that NOT NULL constraints declared in the parent table would not be honored in the partition. One reported issue that is not fixed is that a DEFAULT declared in the child is not used when inserting through the parent. That would amount to a behavioral change that's better not back-patched. This rewrite makes the code simpler: 1. instead of checking for duplicate column names in its own block, reuse the original one that already did that; 2. instead of concatenating the list of columns from parent and the one declared in the partition and scanning the result to (incorrectly) propagate defaults and not-null constraints, just scan the latter searching the former for a match, and merging sensibly. This works because we know the list in the parent is already correct and there can only be one parent. This rewrite makes ColumnDef->is_from_parent unused, so it's removed on branch master; on released branches, it's kept as an unused field in order not to cause ABI incompatibilities. This commit also adds a test case for creating partitions with collations mismatching that on the parent table, something that is closely related to the code being patched. No code change is introduced though, since that'd be a behavior change that could break some (broken) working applications. Amit Langote wrote a less invasive fix for the original NOT NULL/defaults bug, but while I kept the tests he added, I ended up not using his original code. Ashutosh Bapat reviewed Amit's fix. Amit reviewed mine. Author: Álvaro Herrera, Amit Langote Reviewed-by: Ashutosh Bapat, Amit Langote Reported-by: Jürgen Strobel (bug #15212) Discussion: https://postgr.es/m/152746742177.1291.9847032632907407358@wrigleys.postgresql.org
* Update copyright for 2018Bruce Momjian2018-01-02
| | | | Backpatch-through: certain files through 9.3
* Support domains over composite types.Tom Lane2017-10-26
| | | | | | | | | | | | | | | | | | | | | | | | | | | This is the last major omission in our domains feature: you can now make a domain over anything that's not a pseudotype. The major complication from an implementation standpoint is that places that might be creating tuples of a domain type now need to be prepared to apply domain_check(). It seems better that unprepared code fail with an error like "<type> is not composite" than that it silently fail to apply domain constraints. Therefore, relevant infrastructure like get_func_result_type() and lookup_rowtype_tupdesc() has been adjusted to treat domain-over-composite as a distinct case that unprepared code won't recognize, rather than just transparently treating it the same as plain composite. This isn't a 100% solution to the possibility of overlooked domain checks, but it catches most places. In passing, improve typcache.c's support for domains (it can now cache the identity of a domain's base type), and rewrite the argument handling logic in jsonfuncs.c's populate_record[set]_worker to reduce duplicative per-call lookups. I believe this is code-complete so far as the core and contrib code go. The PLs need varying amounts of work, which will be tackled in followup patches. Discussion: https://postgr.es/m/4206.1499798337@sss.pgh.pa.us
* Allow multiple tables to be specified in one VACUUM or ANALYZE command.Tom Lane2017-10-03
| | | | | | | | | | | | | | Not much to say about this; does what it says on the tin. However, formerly, if there was a column list then the ANALYZE action was implied; now it must be specified, or you get an error. This is because it would otherwise be a bit unclear what the user meant if some tables have column lists and some don't. Nathan Bossart, reviewed by Michael Paquier and Masahiko Sawada, with some editorialization by me Discussion: https://postgr.es/m/E061A8E3-5E3D-494D-94F0-E8A9B312BBFC@amazon.com
* Phase 2 of pgindent updates.Tom Lane2017-06-21
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Change pg_bsd_indent to follow upstream rules for placement of comments to the right of code, and remove pgindent hack that caused comments following #endif to not obey the general rule. Commit e3860ffa4dd0dad0dd9eea4be9cc1412373a8c89 wasn't actually using the published version of pg_bsd_indent, but a hacked-up version that tried to minimize the amount of movement of comments to the right of code. The situation of interest is where such a comment has to be moved to the right of its default placement at column 33 because there's code there. BSD indent has always moved right in units of tab stops in such cases --- but in the previous incarnation, indent was working in 8-space tab stops, while now it knows we use 4-space tabs. So the net result is that in about half the cases, such comments are placed one tab stop left of before. This is better all around: it leaves more room on the line for comment text, and it means that in such cases the comment uniformly starts at the next 4-space tab stop after the code, rather than sometimes one and sometimes two tabs after. Also, ensure that comments following #endif are indented the same as comments following other preprocessor commands such as #else. That inconsistency turns out to have been self-inflicted damage from a poorly-thought-through post-indent "fixup" in pgindent. This patch is much less interesting than the first round of indent changes, but also bulkier, so I thought it best to separate the effects. Discussion: https://postgr.es/m/E1dAmxK-0006EE-1r@gemulon.postgresql.org Discussion: https://postgr.es/m/30527.1495162840@sss.pgh.pa.us
* Fix crash when partitioned column specified twice.Robert Haas2017-04-28
| | | | | | Amit Langote, reviewed by Beena Emerson Discussion: http://postgr.es/m/6ed23d3d-c09d-4cbc-3628-0a8a32f750f4@lab.ntt.co.jp
* Support XMLTABLE query expressionAlvaro Herrera2017-03-08
| | | | | | | | | | | | | | | | | | | | | | | | | | | | XMLTABLE is defined by the SQL/XML standard as a feature that allows turning XML-formatted data into relational form, so that it can be used as a <table primary> in the FROM clause of a query. This new construct provides significant simplicity and performance benefit for XML data processing; what in a client-side custom implementation was reported to take 20 minutes can be executed in 400ms using XMLTABLE. (The same functionality was said to take 10 seconds using nested PostgreSQL XPath function calls, and 5 seconds using XMLReader under PL/Python). The implemented syntax deviates slightly from what the standard requires. First, the standard indicates that the PASSING clause is optional and that multiple XML input documents may be given to it; we make it mandatory and accept a single document only. Second, we don't currently support a default namespace to be specified. This implementation relies on a new executor node based on a hardcoded method table. (Because the grammar is fixed, there is no extensibility in the current approach; further constructs can be implemented on top of this such as JSON_TABLE, but they require changes to core code.) Author: Pavel Stehule, Álvaro Herrera Extensively reviewed by: Craig Ringer Discussion: https://postgr.es/m/CAFj8pRAgfzMD-LoSmnMGybD0WsEznLHWap8DO79+-GTRAPR4qA@mail.gmail.com
* Update copyright via script for 2017Bruce Momjian2017-01-03
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* Replace enum InhOption with simple boolean.Tom Lane2016-12-23
| | | | | | | | | | | | | | | | | | | | Now that it has only INH_NO and INH_YES values, it's just weird that it's not a plain bool, so make it that way. Also rename RangeVar.inhOpt to "inh", to be like RangeTblEntry.inh. My recollection is that we gave it a different name specifically because it had a different representation than the derived bool value, but it no longer does. And this is a good forcing function to be sure we catch any places that are affected by the change. Bump catversion because of possible effect on stored RangeVar nodes. I'm not exactly convinced that we ever store RangeVar on disk, but we have a readfuncs function for it, so be cautious. (If we do do so, then commit e13486eba was in error not to bump catversion.) Follow-on to commit e13486eba. Discussion: http://postgr.es/m/CA+TgmoYe+EG7LdYX6pkcNxr4ygkP4+A=jm9o-CPXyOvRiCNwaQ@mail.gmail.com
* Remove sql_inheritance GUC.Robert Haas2016-12-23
| | | | | | This backward-compatibility GUC is long overdue for removal. Discussion: http://postgr.es/m/CA+TgmoYe+EG7LdYX6pkcNxr4ygkP4+A=jm9o-CPXyOvRiCNwaQ@mail.gmail.com
* Add location field to DefElemPeter Eisentraut2016-09-06
| | | | | | | | | | | | | | Add a location field to the DefElem struct, used to parse many utility commands. Update various error messages to supply error position information. To propogate the error position information in a more systematic way, create a ParseState in standard_ProcessUtility() and pass that to interested functions implementing the utility commands. This seems better than passing the query string and then reassembling a parse state ad hoc, which violates the encapsulation of the ParseState type. Reviewed-by: Pavel Stehule <pavel.stehule@gmail.com>
* Fix CREATE MATVIEW/CREATE TABLE AS ... WITH NO DATA to not plan the query.Tom Lane2016-06-27
| | | | | | | | | | | | | | | | | | | | | | | | | | | Previously, these commands always planned the given query and went through executor startup before deciding not to actually run the query if WITH NO DATA is specified. This behavior is problematic for pg_dump because it may cause errors to be raised that we would rather not see before a REFRESH MATERIALIZED VIEW command is issued. See for example bug #13907 from Marian Krucina. This change is not sufficient to fix that particular bug, because we also need to tweak pg_dump to issue the REFRESH later, but it's a necessary step on the way. A user-visible side effect of doing things this way is that the returned command tag for WITH NO DATA cases will now be "CREATE MATERIALIZED VIEW" or "CREATE TABLE AS", not "SELECT 0". We could preserve the old behavior but it would take more code, and arguably that was just an implementation artifact not intended behavior anyhow. In 9.5 and HEAD, also get rid of the static variable CreateAsReladdr, which was trouble waiting to happen; there is not any prohibition on nested CREATE commands. Back-patch to 9.3 where CREATE MATERIALIZED VIEW was introduced. Michael Paquier and Tom Lane Report: <20160202161407.2778.24659@wrigleys.postgresql.org>
* Add defenses against putting expanded objects into Const nodes.Tom Lane2016-01-21
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Putting a reference to an expanded-format value into a Const node would be a bad idea for a couple of reasons. It'd be possible for the supposedly immutable Const to change value, if something modified the referenced variable ... in fact, if the Const's reference were R/W, any function that has the Const as argument might itself change it at runtime. Also, because datumIsEqual() is pretty simplistic, the Const might fail to compare equal to other Consts that it should compare equal to, notably including copies of itself. This could lead to unexpected planner behavior, such as "could not find pathkey item to sort" errors or inferior plans. I have not been able to find any way to get an expanded value into a Const within the existing core code; but Paul Ramsey was able to trigger the problem by writing a datatype input function that returns an expanded value. The best fix seems to be to establish a rule that varlena values being placed into Const nodes should be passed through pg_detoast_datum(). That will do nothing (and cost little) in normal cases, but it will flatten expanded values and thereby avoid the above problems. Also, it will convert short-header or compressed values into canonical format, which will avoid possible unexpected lack-of-equality issues for those cases too. And it provides a last-ditch defense against putting a toasted value into a Const, which we already knew was dangerous, cf commit 2b0c86b66563cf2f. (In the light of this discussion, I'm no longer sure that that commit provided 100% protection against such cases, but this fix should do it.) The test added in commit 65c3d05e18e7c530 to catch datatype input functions with unstable results would fail for functions that returned expanded values; but it seems a bit uncharitable to deem a result unstable just because it's expressed in expanded form, so revise the coding so that we check for bitwise equality only after applying pg_detoast_datum(). That's a sufficient condition anyway given the new rule about detoasting when forming a Const. Back-patch to 9.5 where the expanded-object facility was added. It's possible that this should go back further; but in the absence of clear evidence that there's any live bug in older branches, I'll refrain for now.
* Update copyright for 2016Bruce Momjian2016-01-02
| | | | Backpatch certain files through 9.1
* pgindent run for 9.5Bruce Momjian2015-05-23
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* Support GROUPING SETS, CUBE and ROLLUP.Andres Freund2015-05-16
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This SQL standard functionality allows to aggregate data by different GROUP BY clauses at once. Each grouping set returns rows with columns grouped by in other sets set to NULL. This could previously be achieved by doing each grouping as a separate query, conjoined by UNION ALLs. Besides being considerably more concise, grouping sets will in many cases be faster, requiring only one scan over the underlying data. The current implementation of grouping sets only supports using sorting for input. Individual sets that share a sort order are computed in one pass. If there are sets that don't share a sort order, additional sort & aggregation steps are performed. These additional passes are sourced by the previous sort step; thus avoiding repeated scans of the source data. The code is structured in a way that adding support for purely using hash aggregation or a mix of hashing and sorting is possible. Sorting was chosen to be supported first, as it is the most generic method of implementation. Instead of, as in an earlier versions of the patch, representing the chain of sort and aggregation steps as full blown planner and executor nodes, all but the first sort are performed inside the aggregation node itself. This avoids the need to do some unusual gymnastics to handle having to return aggregated and non-aggregated tuples from underlying nodes, as well as having to shut down underlying nodes early to limit memory usage. The optimizer still builds Sort/Agg node to describe each phase, but they're not part of the plan tree, but instead additional data for the aggregation node. They're a convenient and preexisting way to describe aggregation and sorting. The first (and possibly only) sort step is still performed as a separate execution step. That retains similarity with existing group by plans, makes rescans fairly simple, avoids very deep plans (leading to slow explains) and easily allows to avoid the sorting step if the underlying data is sorted by other means. A somewhat ugly side of this patch is having to deal with a grammar ambiguity between the new CUBE keyword and the cube extension/functions named cube (and rollup). To avoid breaking existing deployments of the cube extension it has not been renamed, neither has cube been made a reserved keyword. Instead precedence hacking is used to make GROUP BY cube(..) refer to the CUBE grouping sets feature, and not the function cube(). To actually group by a function cube(), unlikely as that might be, the function name has to be quoted. Needs a catversion bump because stored rules may change. Author: Andrew Gierth and Atri Sharma, with contributions from Andres Freund Reviewed-By: Andres Freund, Noah Misch, Tom Lane, Svenne Krap, Tomas Vondra, Erik Rijkers, Marti Raudsepp, Pavel Stehule Discussion: CAOeZVidmVRe2jU6aMk_5qkxnB7dfmPROzM7Ur8JPW5j8Y5X-Lw@mail.gmail.com
* Update copyright for 2015Bruce Momjian2015-01-06
| | | | Backpatch certain files through 9.0
* pgindent run for 9.4Bruce Momjian2014-05-06
| | | | | This includes removing tabs after periods in C comments, which was applied to back branches, so this change should not effect backpatching.
* Update copyright for 2014Bruce Momjian2014-01-07
| | | | | Update all files in head, and files COPYRIGHT and legal.sgml in all back branches.
* Support ordered-set (WITHIN GROUP) aggregates.Tom Lane2013-12-23
| | | | | | | | | | | | | | | | | | | | | | | | | | | | This patch introduces generic support for ordered-set and hypothetical-set aggregate functions, as well as implementations of the instances defined in SQL:2008 (percentile_cont(), percentile_disc(), rank(), dense_rank(), percent_rank(), cume_dist()). We also added mode() though it is not in the spec, as well as versions of percentile_cont() and percentile_disc() that can compute multiple percentile values in one pass over the data. Unlike the original submission, this patch puts full control of the sorting process in the hands of the aggregate's support functions. To allow the support functions to find out how they're supposed to sort, a new API function AggGetAggref() is added to nodeAgg.c. This allows retrieval of the aggregate call's Aggref node, which may have other uses beyond the immediate need. There is also support for ordered-set aggregates to install cleanup callback functions, so that they can be sure that infrastructure such as tuplesort objects gets cleaned up. In passing, make some fixes in the recently-added support for variadic aggregates, and make some editorial adjustments in the recent FILTER additions for aggregates. Also, simplify use of IsBinaryCoercible() by allowing it to succeed whenever the target type is ANY or ANYELEMENT. It was inconsistent that it dealt with other polymorphic target types but not these. Atri Sharma and Andrew Gierth; reviewed by Pavel Stehule and Vik Fearing, and rather heavily editorialized upon by Tom Lane
* Support multi-argument UNNEST(), and TABLE() syntax for multiple functions.Tom Lane2013-11-21
| | | | | | | | | | | | | | | | | | | | | | | | | | | | This patch adds the ability to write TABLE( function1(), function2(), ...) as a single FROM-clause entry. The result is the concatenation of the first row from each function, followed by the second row from each function, etc; with NULLs inserted if any function produces fewer rows than others. This is believed to be a much more useful behavior than what Postgres currently does with multiple SRFs in a SELECT list. This syntax also provides a reasonable way to combine use of column definition lists with WITH ORDINALITY: put the column definition list inside TABLE(), where it's clear that it doesn't control the ordinality column as well. Also implement SQL-compliant multiple-argument UNNEST(), by turning UNNEST(a,b,c) into TABLE(unnest(a), unnest(b), unnest(c)). The SQL standard specifies TABLE() with only a single function, not multiple functions, and it seems to require an implicit UNNEST() which is not what this patch does. There may be something wrong with that reading of the spec, though, because if it's right then the spec's TABLE() is just a pointless alternative spelling of UNNEST(). After further review of that, we might choose to adopt a different syntax for what this patch does, but in any case this functionality seems clearly worthwhile. Andrew Gierth, reviewed by Zoltán Böszörményi and Heikki Linnakangas, and significantly revised by me
* Fix whitespace issues found by git diff --check, add gitattributesPeter Eisentraut2013-11-10
| | | | | Set per file type attributes in .gitattributes to fine-tune whitespace checks. With the associated cleanups, the tree is now clean for git
* Add SQL Standard WITH ORDINALITY support for UNNEST (and any other SRF)Greg Stark2013-07-29
| | | | | Author: Andrew Gierth, David Fetter Reviewers: Dean Rasheed, Jeevan Chalke, Stephen Frost
* Implement the FILTER clause for aggregate function calls.Noah Misch2013-07-16
| | | | | | | | | This is SQL-standard with a few extensions, namely support for subqueries and outer references in clause expressions. catversion bump due to change in Aggref and WindowFunc. David Fetter, reviewed by Dean Rasheed.
* Add a convenience routine makeFuncCall to reduce duplication.Robert Haas2013-07-01
| | | | David Fetter and Andrew Gierth, reviewed by Jeevan Chalke
* Add infrastructure for storing a VARIADIC ANY function's VARIADIC flag.Tom Lane2013-01-21
| | | | | | | | | | | | | | | | | Originally we didn't bother to mark FuncExprs with any indication whether VARIADIC had been given in the source text, because there didn't seem to be any need for it at runtime. However, because we cannot fold a VARIADIC ANY function's arguments into an array (since they're not necessarily all the same type), we do actually need that information at runtime if VARIADIC ANY functions are to respond unsurprisingly to use of the VARIADIC keyword. Add the missing field, and also fix ruleutils.c so that VARIADIC ANY function calls are dumped properly. Extracted from a larger patch that also fixes concat() and format() (the only two extant VARIADIC ANY functions) to behave properly when VARIADIC is specified. This portion seems appropriate to review and commit separately. Pavel Stehule
* Update copyrights for 2013Bruce Momjian2013-01-01
| | | | | Fully update git head, and update back branches in ./COPYRIGHT and legal.sgml files.
* Update copyright notices for year 2012.Bruce Momjian2012-01-01
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