438 Commits (18ce3a4ab22d2984f8540ab480979c851dae5338)

Author	SHA1	Message	Date
Kevin Grittner	18ce3a4ab2	Add infrastructure to support EphemeralNamedRelation references. ... A QueryEnvironment concept is added, which allows new types of objects to be passed into queries from parsing on through execution. At this point, the only thing implemented is a collection of EphemeralNamedRelation objects -- relations which can be referenced by name in queries, but do not exist in the catalogs. The only type of ENR implemented is NamedTuplestore, but provision is made to add more types fairly easily. An ENR can carry its own TupleDesc or reference a relation in the catalogs by relid. Although these features can be used without SPI, convenience functions are added to SPI so that ENRs can easily be used by code run through SPI. The initial use of all this is going to be transition tables in AFTER triggers, but that will be added to each PL as a separate commit. An incidental effect of this patch is to produce a more informative error message if an attempt is made to modify the contents of a CTE from a referencing DML statement. No tests previously covered that possibility, so one is added. Kevin Grittner and Thomas Munro Reviewed by Heikki Linnakangas, David Fetter, and Thomas Munro with valuable comments and suggestions from many others	9 years ago
Andres Freund	b8d7f053c5	Faster expression evaluation and targetlist projection. ... This replaces the old, recursive tree-walk based evaluation, with non-recursive, opcode dispatch based, expression evaluation. Projection is now implemented as part of expression evaluation. This both leads to significant performance improvements, and makes future just-in-time compilation of expressions easier. The speed gains primarily come from: - non-recursive implementation reduces stack usage / overhead - simple sub-expressions are implemented with a single jump, without function calls - sharing some state between different sub-expressions - reduced amount of indirect/hard to predict memory accesses by laying out operation metadata sequentially; including the avoidance of nearly all of the previously used linked lists - more code has been moved to expression initialization, avoiding constant re-checks at evaluation time Future just-in-time compilation (JIT) has become easier, as demonstrated by released patches intended to be merged in a later release, for primarily two reasons: Firstly, due to a stricter split between expression initialization and evaluation, less code has to be handled by the JIT. Secondly, due to the non-recursive nature of the generated "instructions", less performance-critical code-paths can easily be shared between interpreted and compiled evaluation. The new framework allows for significant future optimizations. E.g.: - basic infrastructure for to later reduce the per executor-startup overhead of expression evaluation, by caching state in prepared statements. That'd be helpful in OLTPish scenarios where initialization overhead is measurable. - optimizing the generated "code". A number of proposals for potential work has already been made. - optimizing the interpreter. Similarly a number of proposals have been made here too. The move of logic into the expression initialization step leads to some backward-incompatible changes: - Function permission checks are now done during expression initialization, whereas previously they were done during execution. In edge cases this can lead to errors being raised that previously wouldn't have been, e.g. a NULL array being coerced to a different array type previously didn't perform checks. - The set of domain constraints to be checked, is now evaluated once during expression initialization, previously it was re-built every time a domain check was evaluated. For normal queries this doesn't change much, but e.g. for plpgsql functions, which caches ExprStates, the old set could stick around longer. The behavior around might still change. Author: Andres Freund, with significant changes by Tom Lane, changes by Heikki Linnakangas Reviewed-By: Tom Lane, Heikki Linnakangas Discussion: https://postgr.es/m/20161206034955.bh33paeralxbtluv@alap3.anarazel.de	9 years ago
Robert Haas	691b8d5928	Allow for parallel execution whenever ExecutorRun() is done only once. ... Previously, it was unsafe to execute a plan in parallel if ExecutorRun() might be called with a non-zero row count. However, it's quite easy to fix things up so that we can support that case, provided that it is known that we will never call ExecutorRun() a second time for the same QueryDesc. Add infrastructure to signal this, and cross-checks to make sure that a caller who claims this is true doesn't later reneg. While that pattern never happens with queries received directly from a client -- there's no way to know whether multiple Execute messages will be sent unless the first one requests all the rows -- it's pretty common for queries originating from procedural languages, which often limit the result to a single tuple or to a user-specified number of tuples. This commit doesn't actually enable parallelism in any additional cases, because currently none of the places that would be able to benefit from this infrastructure pass CURSOR_OPT_PARALLEL_OK in the first place, but it makes it much more palatable to pass CURSOR_OPT_PARALLEL_OK in places where we currently don't, because it eliminates some cases where we'd end up having to run the parallel plan serially. Patch by me, based on some ideas from Rafia Sabih and corrected by Rafia Sabih based on feedback from Dilip Kumar and myself. Discussion: http://postgr.es/m/CA+TgmobXEhvHbJtWDuPZM9bVSLiTj-kShxQJ2uM5GPDze9fRYA@mail.gmail.com	9 years ago
Robert Haas	d3cc37f1d8	Don't scan partitioned tables. ... Partitioned tables do not contain any data; only their unpartitioned descendents need to be scanned. However, the partitioned tables still need to be locked, even though they're not scanned. To make that work, Append and MergeAppend relations now need to carry a list of (unscanned) partitioned relations that must be locked, and InitPlan must lock all partitioned result relations. Aside from the obvious advantage of avoiding some work at execution time, this has two other advantages. First, it may improve the planner's decision-making in some cases since the empty relation might throw things off. Second, it paves the way to getting rid of the storage for partitioned tables altogether. Amit Langote, reviewed by me. Discussion: http://postgr.es/m/6837c359-45c4-8044-34d1-736756335a15@lab.ntt.co.jp	9 years ago
Robert Haas	355d3993c5	Add a Gather Merge executor node. ... Like Gather, we spawn multiple workers and run the same plan in each one; however, Gather Merge is used when each worker produces the same output ordering and we want to preserve that output ordering while merging together the streams of tuples from various workers. (In a way, Gather Merge is like a hybrid of Gather and MergeAppend.) This works out to a win if it saves us from having to perform an expensive Sort. In cases where only a small amount of data would need to be sorted, it may actually be faster to use a regular Gather node and then sort the results afterward, because Gather Merge sometimes needs to wait synchronously for tuples whereas a pure Gather generally doesn't. But if this avoids an expensive sort then it's a win. Rushabh Lathia, reviewed and tested by Amit Kapila, Thomas Munro, and Neha Sharma, and reviewed and revised by me. Discussion: http://postgr.es/m/CAGPqQf09oPX-cQRpBKS0Gq49Z+m6KBxgxd_p9gX8CKk_d75HoQ@mail.gmail.com	9 years ago
Robert Haas	f35742ccb7	Support parallel bitmap heap scans. ... The index is scanned by a single process, but then all cooperating processes can iterate jointly over the resulting set of heap blocks. In the future, we might also want to support using a parallel bitmap index scan to set up for a parallel bitmap heap scan, but that's a job for another day. Dilip Kumar, with some corrections and cosmetic changes by me. The larger patch set of which this is a part has been reviewed and tested by (at least) Andres Freund, Amit Khandekar, Tushar Ahuja, Rafia Sabih, Haribabu Kommi, Thomas Munro, and me. Discussion: http://postgr.es/m/CAFiTN-uc4=0WxRGfCzs-xfkMYcSEWUC-Fon6thkJGjkh9i=13A@mail.gmail.com	9 years ago
Alvaro Herrera	fcec6caafa	Support XMLTABLE query expression ... 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	9 years ago
Robert Haas	a315b967cc	Allow custom and foreign scans to have shutdown callbacks. ... This is expected to be useful mostly when performing such scans in parallel, because in that case it allows (in combination with commit acf555bc53) nodes below a Gather to get control just before the DSM segment goes away. KaiGai Kohei, except that I rewrote the documentation. Reviewed by Claudio Freire. Discussion: http://postgr.es/m/CADyhKSXJK0jUJ8rWv4AmKDhsUh124_rEn39eqgfC5D8fu6xVuw@mail.gmail.com	9 years ago
Robert Haas	0414b26bac	Add optimizer and executor support for parallel index-only scans. ... Commit 5262f7a4fc added similar support for parallel index scans; this extends that work to index-only scans. As with parallel index scans, this requires support from the index AM, so currently parallel index-only scans will only be possible for btree indexes. Rafia Sabih, reviewed and tested by Rahila Syed, Tushar Ahuja, and Amit Kapila Discussion: http://postgr.es/m/CAOGQiiPEAs4C=TBp0XShxBvnWXuzGL2u++Hm1=qnCpd6_Mf8Fw@mail.gmail.com	9 years ago
Robert Haas	5262f7a4fc	Add optimizer and executor support for parallel index scans. ... In combination with 569174f1be, which taught the btree AM how to perform parallel index scans, this allows parallel index scan plans on btree indexes. This infrastructure should be general enough to support parallel index scans for other index AMs as well, if someone updates them to support parallel scans. Amit Kapila, reviewed and tested by Anastasia Lubennikova, Tushar Ahuja, and Haribabu Kommi, and me.	9 years ago
Peter Eisentraut	665d1fad99	Logical replication ... - Add PUBLICATION catalogs and DDL - Add SUBSCRIPTION catalog and DDL - Define logical replication protocol and output plugin - Add logical replication workers From: Petr Jelinek <petr@2ndquadrant.com> Reviewed-by: Steve Singer <steve@ssinger.info> Reviewed-by: Andres Freund <andres@anarazel.de> Reviewed-by: Erik Rijkers <er@xs4all.nl> Reviewed-by: Peter Eisentraut <peter.eisentraut@2ndquadrant.com>	9 years ago
Andres Freund	ea15e18677	Remove obsoleted code relating to targetlist SRF evaluation. ... Since 69f4b9c plain expression evaluation (and thus normal projection) can't return sets of tuples anymore. Thus remove code dealing with that possibility. This will require adjustments in external code using ExecEvalExpr()/ExecProject() - that should neither be hard nor very common. Author: Andres Freund and Tom Lane Discussion: https://postgr.es/m/20160822214023.aaxz5l4igypowyri@alap3.anarazel.de	9 years ago
Robert Haas	39162b2030	Fix failure to enforce partitioning contraint for internal partitions. ... When a tuple is inherited into a partitioning root, no partition constraints need to be enforced; when it is inserted into a leaf, the parent's partitioning quals needed to be enforced. The previous coding got both of those cases right. When a tuple is inserted into an intermediate level of the partitioning hierarchy (i.e. a table which is both a partition itself and in turn partitioned), it must enforce the partitioning qual inherited from its parent. That case got overlooked; repair. Amit Langote	9 years ago
Andres Freund	69f4b9c85f	Move targetlist SRF handling from expression evaluation to new executor node. ... Evaluation of set returning functions (SRFs_ in the targetlist (like SELECT generate_series(1,5)) so far was done in the expression evaluation (i.e. ExecEvalExpr()) and projection (i.e. ExecProject/ExecTargetList) code. This meant that most executor nodes performing projection, and most expression evaluation functions, had to deal with the possibility that an evaluated expression could return a set of return values. That's bad because it leads to repeated code in a lot of places. It also, and that's my (Andres's) motivation, made it a lot harder to implement a more efficient way of doing expression evaluation. To fix this, introduce a new executor node (ProjectSet) that can evaluate targetlists containing one or more SRFs. To avoid the complexity of the old way of handling nested expressions returning sets (e.g. having to pass up ExprDoneCond, and dealing with arguments to functions returning sets etc.), those SRFs can only be at the top level of the node's targetlist. The planner makes sure (via split_pathtarget_at_srfs()) that SRF evaluation is only necessary in ProjectSet nodes and that SRFs are only present at the top level of the node's targetlist. If there are nested SRFs the planner creates multiple stacked ProjectSet nodes. The ProjectSet nodes always get input from an underlying node. We also discussed and prototyped evaluating targetlist SRFs using ROWS FROM(), but that turned out to be more complicated than we'd hoped. While moving SRF evaluation to ProjectSet would allow to retain the old "least common multiple" behavior when multiple SRFs are present in one targetlist (i.e. continue returning rows until all SRFs are at the end of their input at the same time), we decided to instead only return rows till all SRFs are exhausted, returning NULL for already exhausted ones. We deemed the previous behavior to be too confusing, unexpected and actually not particularly useful. As a side effect, the previously prohibited case of multiple set returning arguments to a function, is now allowed. Not because it's particularly desirable, but because it ends up working and there seems to be no argument for adding code to prohibit it. Currently the behavior for COALESCE and CASE containing SRFs has changed, returning multiple rows from the expression, even when the SRF containing "arm" of the expression is not evaluated. That's because the SRFs are evaluated in a separate ProjectSet node. As that's quite confusing, we're likely to instead prohibit SRFs in those places. But that's still being discussed, and the code would reside in places not touched here, so that's a task for later. There's a lot of, now superfluous, code dealing with set return expressions around. But as the changes to get rid of those are verbose largely boring, it seems better for readability to keep the cleanup as a separate commit. Author: Tom Lane and Andres Freund Discussion: https://postgr.es/m/20160822214023.aaxz5l4igypowyri@alap3.anarazel.de	9 years ago
Tom Lane	ab1f0c8225	Change representation of statement lists, and add statement location info. ... This patch makes several changes that improve the consistency of representation of lists of statements. It's always been the case that the output of parse analysis is a list of Query nodes, whatever the types of the individual statements in the list. This patch brings similar consistency to the outputs of raw parsing and planning steps: * The output of raw parsing is now always a list of RawStmt nodes; the statement-type-dependent nodes are one level down from that. * The output of pg_plan_queries() is now always a list of PlannedStmt nodes, even for utility statements. In the case of a utility statement, "planning" just consists of wrapping a CMD_UTILITY PlannedStmt around the utility node. This list representation is now used in Portal and CachedPlan plan lists, replacing the former convention of intermixing PlannedStmts with bare utility-statement nodes. Now, every list of statements has a consistent head-node type depending on how far along it is in processing. This allows changing many places that formerly used generic "Node *" pointers to use a more specific pointer type, thus reducing the number of IsA() tests and casts needed, as well as improving code clarity. Also, the post-parse-analysis representation of DECLARE CURSOR is changed so that it looks more like EXPLAIN, PREPARE, etc. That is, the contained SELECT remains a child of the DeclareCursorStmt rather than getting flipped around to be the other way. It's now true for both Query and PlannedStmt that utilityStmt is non-null if and only if commandType is CMD_UTILITY. That allows simplifying a lot of places that were testing both fields. (I think some of those were just defensive programming, but in many places, it was actually necessary to avoid confusing DECLARE CURSOR with SELECT.) Because PlannedStmt carries a canSetTag field, we're also able to get rid of some ad-hoc rules about how to reconstruct canSetTag for a bare utility statement; specifically, the assumption that a utility is canSetTag if and only if it's the only one in its list. While I see no near-term need for relaxing that restriction, it's nice to get rid of the ad-hocery. The API of ProcessUtility() is changed so that what it's passed is the wrapper PlannedStmt not just the bare utility statement. This will affect all users of ProcessUtility_hook, but the changes are pretty trivial; see the affected contrib modules for examples of the minimum change needed. (Most compilers should give pointer-type-mismatch warnings for uncorrected code.) There's also a change in the API of ExplainOneQuery_hook, to pass through cursorOptions instead of expecting hook functions to know what to pick. This is needed because of the DECLARE CURSOR changes, but really should have been done in 9.6; it's unlikely that any extant hook functions know about using CURSOR_OPT_PARALLEL_OK. Finally, teach gram.y to save statement boundary locations in RawStmt nodes, and pass those through to Query and PlannedStmt nodes. This allows more intelligent handling of cases where a source query string contains multiple statements. This patch doesn't actually do anything with the information, but a follow-on patch will. (Passing this information through cleanly is the true motivation for these changes; while I think this is all good cleanup, it's unlikely we'd have bothered without this end goal.) catversion bump because addition of location fields to struct Query affects stored rules. This patch is by me, but it owes a good deal to Fabien Coelho who did a lot of preliminary work on the problem, and also reviewed the patch. Discussion: https://postgr.es/m/alpine.DEB.2.20.1612200926310.29821@lancre	9 years ago
Robert Haas	f1b4c771ea	Fix reporting of constraint violations for table partitioning. ... After a tuple is routed to a partition, it has been converted from the root table's row type to the partition's row type. ExecConstraints needs to report the failure using the original tuple and the parent's tuple descriptor rather than the ones for the selected partition. Amit Langote	9 years ago
Robert Haas	345b2dcf07	Move partition_tuple_slot out of EState. ... Commit 2ac3ef7a01 added a TupleTapleSlot for partition tuple slot to EState (es_partition_tuple_slot) but it's more logical to have it as part of ModifyTableState (mt_partition_tuple_slot) and CopyState (partition_tuple_slot). Discussion: http://postgr.es/m/1bd459d9-4c0c-197a-346e-e5e59e217d97@lab.ntt.co.jp Amit Langote, per a gripe from me	9 years ago
Bruce Momjian	1d25779284	Update copyright via script for 2017	9 years ago
Robert Haas	1fc5c49450	Refactor partition tuple routing code to reduce duplication. ... Amit Langote	9 years ago
Robert Haas	e13029a5ce	Provide a DSA area for all parallel queries. ... This will allow future parallel query code to dynamically allocate storage shared by all participants. Thomas Munro, with assorted changes by me.	9 years ago
Robert Haas	b81b5a96f4	Unbreak Finalize HashAggregate over Partial HashAggregate. ... Commit 5dfc198146 introduced the use of a new type of hash table with linear reprobing for hash aggregates. Such a hash table behaves very poorly if keys are inserted in hash order, which does in fact happen in the case where a query use a Finalize HashAggregate node fed (via Gather) by a Partial HashAggregate node. In fact, queries with this type of plan tend to run effectively forever. Fix that by seeding the hash value differently in each worker (and in the leader, if it participates). Andres Freund and Robert Haas	9 years ago
Robert Haas	f0e44751d7	Implement table partitioning. ... Table partitioning is like table inheritance and reuses much of the existing infrastructure, but there are some important differences. The parent is called a partitioned table and is always empty; it may not have indexes or non-inherited constraints, since those make no sense for a relation with no data of its own. The children are called partitions and contain all of the actual data. Each partition has an implicit partitioning constraint. Multiple inheritance is not allowed, and partitioning and inheritance can't be mixed. Partitions can't have extra columns and may not allow nulls unless the parent does. Tuples inserted into the parent are automatically routed to the correct partition, so tuple-routing ON INSERT triggers are not needed. Tuple routing isn't yet supported for partitions which are foreign tables, and it doesn't handle updates that cross partition boundaries. Currently, tables can be range-partitioned or list-partitioned. List partitioning is limited to a single column, but range partitioning can involve multiple columns. A partitioning "column" can be an expression. Because table partitioning is less general than table inheritance, it is hoped that it will be easier to reason about properties of partitions, and therefore that this will serve as a better foundation for a variety of possible optimizations, including query planner optimizations. The tuple routing based which this patch does based on the implicit partitioning constraints is an example of this, but it seems likely that many other useful optimizations are also possible. Amit Langote, reviewed and tested by Robert Haas, Ashutosh Bapat, Amit Kapila, Rajkumar Raghuwanshi, Corey Huinker, Jaime Casanova, Rushabh Lathia, Erik Rijkers, among others. Minor revisions by me.	9 years ago
Tom Lane	1833f1a1c3	Simplify code by getting rid of SPI_push, SPI_pop, SPI_restore_connection. ... The idea behind SPI_push was to allow transitioning back into an "unconnected" state when a SPI-using procedure calls unrelated code that might or might not invoke SPI. That sounds good, but in practice the only thing it does for us is to catch cases where a called SPI-using function forgets to call SPI_connect --- which is a highly improbable failure mode, since it would be exposed immediately by direct testing of said function. As against that, we've had multiple bugs induced by forgetting to call SPI_push/SPI_pop around code that might invoke SPI-using functions; these are much harder to catch and indeed have gone undetected for years in some cases. And we've had to band-aid around some problems of this ilk by introducing conditional push/pop pairs in some places, which really kind of defeats the purpose altogether; if we can't draw bright lines between connected and unconnected code, what's the point? Hence, get rid of SPI_push[_conditional], SPI_pop[_conditional], and the underlying state variable _SPI_curid. It turns out SPI_restore_connection can go away too, which is a nice side benefit since it was never more than a kluge. Provide no-op macros for the deleted functions so as to avoid an API break for external modules. A side effect of this removal is that SPI_palloc and allied functions no longer permit being called when unconnected; they'll throw an error instead. The apparent usefulness of the previous behavior was a mirage as well, because it was depended on by only a few places (which I fixed in preceding commits), and it posed a risk of allocations being unexpectedly long-lived if someone forgot a SPI_push call. Discussion: <20808.1478481403@sss.pgh.pa.us>	9 years ago
Andres Freund	5dfc198146	Use more efficient hashtable for execGrouping.c to speed up hash aggregation. ... The more efficient hashtable speeds up hash-aggregations with more than a few hundred groups significantly. Improvements of over 120% have been measured. Due to the the different hash table queries that not fully determined (e.g. GROUP BY without ORDER BY) may change their result order. The conversion is largely straight-forward, except that, due to the static element types of simplehash.h type hashes, the additional data some users store in elements (e.g. the per-group working data for hash aggregaters) is now stored in TupleHashEntryData->additional. The meaning of BuildTupleHashTable's entrysize (renamed to additionalsize) has been changed to only be about the additionally stored size. That size is only used for the initial sizing of the hash-table. Reviewed-By: Tomas Vondra Discussion: <20160727004333.r3e2k2y6fvk2ntup@alap3.anarazel.de>	9 years ago
Tom Lane	af33039317	Fix worst memory leaks in tqueue.c. ... TupleQueueReaderNext() leaks like a sieve if it has to do any tuple disassembly/reconstruction. While we could try to clean up its allocations piecemeal, it seems like a better idea just to insist that it should be run in a short-lived memory context, so that any transient space goes away automatically. I chose to have nodeGather.c switch into its existing per-tuple context before the call, rather than inventing a separate context inside tqueue.c. This is sufficient to stop all leakage in the simple case I exhibited earlier today (see link below), but it does not deal with leaks induced in more complex cases by tqueue.c's insistence on using TopMemoryContext for data that it's not actually trying hard to keep track of. That issue is intertwined with another major source of inefficiency, namely failure to cache lookup results across calls, so it seems best to deal with it separately. In passing, improve some comments, and modify gather_readnext's method for deciding when it's visited all the readers so that it's more obviously correct. (I'm not actually convinced that the previous code *is* correct in the case of a reader deletion; it certainly seems fragile.) Discussion: <32763.1469821037@sss.pgh.pa.us>	10 years ago
Robert Haas	4bc424b968	pgindent run for 9.6	10 years ago
Tom Lane	69f526aa49	Mark read/write expanded values as read-only in ExecProject(). ... If a plan node output expression returns an "expanded" datum, and that output column is referenced in more than one place in upper-level plan nodes, we need to ensure that what is returned is a read-only reference not a read/write reference. Otherwise one of the referencing sites could scribble on or even delete the expanded datum before we have evaluated the others. Commit 1dc5ebc907, which introduced this feature, supposed that it'd be sufficient to make SubqueryScan nodes force their output columns to read-only state. The folly of that was revealed by bug #14174 from Andrew Gierth, and really should have been immediately obvious considering that the planner will happily optimize SubqueryScan nodes out of the plan without any regard for this issue. The safest fix seems to be to make ExecProject() force its results into read-only state; that will cover every case where a plan node returns expression results. Actually we can delegate this to ExecTargetList() since we can recursively assume that plain Vars will not reference read-write datums. That should keep the extra overhead down to something minimal. We no longer need ExecMakeSlotContentsReadOnly(), which was introduced only in support of the idea that just a few plan node types would need to do this. In the future it would be nice to have the planner account for this problem and inject force-to-read-only expression evaluation nodes into only the places where there's a risk of multiple evaluation. That's not a suitable solution for 9.5 or even 9.6 at this point, though. Report: <20160603124628.9932.41279@wrigleys.postgresql.org>	10 years ago
Tom Lane	8a4930e3fa	Fix latent crash in do_text_output_multiline(). ... do_text_output_multiline() would fail (typically with a null pointer dereference crash) if its input string did not end with a newline. Such cases do not arise in our current sources; but it certainly could happen in future, or in extension code's usage of the function, so we should fix it. To fix, replace "eol += len" with "eol = text + len". While at it, make two cosmetic improvements: mark the input string const, and rename the argument from "text" to "txt" to dodge pgindent strangeness (since "text" is a typedef name). Even though this problem is only latent at present, it seems like a good idea to back-patch the fix, since it's a very simple/safe patch and it's not out of the realm of possibility that we might in future back-patch something that expects sane behavior from do_text_output_multiline(). Per report from Hao Lee. Report: <CAGoxFiFPAGyPAJLcFxTB5cGhTW2yOVBDYeqDugYwV4dEd1L_Ag@mail.gmail.com>	10 years ago
Robert Haas	f9143d102f	Rework custom scans to work more like the new extensible node stuff. ... Per discussion, the new extensible node framework is thought to be better designed than the custom path/scan/scanstate stuff we added in PostgreSQL 9.5. Rework the latter to be more like the former. This is not backward-compatible, but we generally don't promise that for C APIs, and there probably aren't many people using this yet anyway. KaiGai Kohei, reviewed by Petr Jelinek and me. Some further cosmetic changes by me.	10 years ago
Tom Lane	23a27b039d	Widen query numbers-of-tuples-processed counters to uint64. ... This patch widens SPI_processed, EState's es_processed field, PortalData's portalPos field, FuncCallContext's call_cntr and max_calls fields, ExecutorRun's count argument, PortalRunFetch's result, and the max number of rows in a SPITupleTable to uint64, and deals with (I hope) all the ensuing fallout. Some of these values were declared uint32 before, and others "long". I also removed PortalData's posOverflow field, since that logic seems pretty useless given that portalPos is now always 64 bits. The user-visible results are that command tags for SELECT etc will correctly report tuple counts larger than 4G, as will plpgsql's GET GET DIAGNOSTICS ... ROW_COUNT command. Queries processing more tuples than that are still not exactly the norm, but they're becoming more common. Most values associated with FETCH/MOVE distances, such as PortalRun's count argument and the count argument of most SPI functions that have one, remain declared as "long". It's not clear whether it would be worth promoting those to int64; but it would definitely be a large dollop of additional API churn on top of this, and it would only help 32-bit platforms which seem relatively less likely to see any benefit. Andreas Scherbaum, reviewed by Christian Ullrich, additional hacking by me	10 years ago
Robert Haas	69d34408e5	Allow parallel custom and foreign scans. ... This patch doesn't put the new infrastructure to use anywhere, and indeed it's not clear how it could ever be used for something like postgres_fdw which has to send an SQL query and wait for a reply, but there might be FDWs or custom scan providers that are CPU-bound, so let's give them a way to join club parallel. KaiGai Kohei, reviewed by me.	10 years ago
Bruce Momjian	ee94300446	Update copyright for 2016 ... Backpatch certain files through 9.1	10 years ago
Robert Haas	b287df70e4	Allow EXPLAIN (ANALYZE, VERBOSE) to display per-worker statistics. ... The original parallel sequential scan commit included only very limited changes to the EXPLAIN output. Aggregated totals from all workers were displayed, but there was no way to see what each individual worker did or to distinguish the effort made by the workers from the effort made by the leader. Per a gripe by Thom Brown (and maybe others). Patch by me, reviewed by Amit Kapila.	10 years ago
Robert Haas	166b61a88e	Avoid aggregating worker instrumentation multiple times. ... Amit Kapila, per design ideas from me.	10 years ago
Robert Haas	f0661c4e8c	Make sequential scans parallel-aware. ... In addition, this path fills in a number of missing bits and pieces in the parallel infrastructure. Paths and plans now have a parallel_aware flag indicating whether whatever parallel-aware logic they have should be engaged. It is believed that we will need this flag for a number of path/plan types, not just sequential scans, which is why the flag is generic rather than part of the SeqScan structures specifically. Also, execParallel.c now gives parallel nodes a chance to initialize their PlanState nodes from the DSM during parallel worker startup. Amit Kapila, with a fair amount of adjustment by me. Review of previous patch versions by Haribabu Kommi and others.	10 years ago
Robert Haas	6e71dd7ce9	Modify tqueue infrastructure to support transient record types. ... Commit 4a4e6893aa, which introduced this mechanism, failed to account for the fact that the RECORD pseudo-type uses transient typmods that are only meaningful within a single backend. Transferring such tuples without modification between two cooperating backends does not work. This commit installs a system for passing the tuple descriptors over the same shm_mq being used to send the tuples themselves. The two sides might not assign the same transient typmod to any given tuple descriptor, so we must also substitute the appropriate receiver-side typmod for the one used by the sender. That adds some CPU overhead, but still seems better than being unable to pass records between cooperating parallel processes. Along the way, move the logic for handling multiple tuple queues from tqueue.c to nodeGather.c; tqueue.c now provides a TupleQueueReader, which reads from a single queue, rather than a TupleQueueFunnel, which potentially reads from multiple queues. This change was suggested previously as a way to make sure that nodeGather.c rather than tqueue.c had policy control over the order in which to read from queues, but it wasn't clear to me until now how good an idea it was. typmod mapping needs to be performed separately for each queue, and it is much simpler if the tqueue.c code handles that and leaves multiplexing multiple queues to higher layers of the stack.	10 years ago
Robert Haas	3a1f8611f2	Update parallel executor support to reuse the same DSM. ... Commit b0b0d84b3d purported to make it possible to relaunch workers using the same parallel context, but it had an unpleasant race condition: we might reinitialize after the workers have sent their last control message but before they have dettached the DSM, leaving to crashes. Repair by introducing a new ParallelContext operation, ReinitializeParallelDSM. Adjust execParallel.c to use this new support, so that we can rescan a Gather node by relaunching workers but without needing to recreate the DSM. Amit Kapila, with some adjustments by me. Extracted from latest parallel sequential scan patch.	10 years ago
Robert Haas	bfc78d7196	Rewrite interaction of parallel mode with parallel executor support. ... In the previous coding, before returning from ExecutorRun, we'd shut down all parallel workers. This was dead wrong if ExecutorRun was called with a non-zero tuple count; it had the effect of truncating the query output. To fix, give ExecutePlan control over whether to enter parallel mode, and have it refuse to do so if the tuple count is non-zero. Rewrite the Gather logic so that it can cope with being called outside parallel mode. Commit 7aea8e4f2d is largely to blame for this problem, though this patch modifies some subsequently-committed code which relied on the guarantees it purported to make.	10 years ago
Tom Lane	a31e64d065	Fix some issues in new hashtable size calculations in nodeHash.c. ... Limit the size of the hashtable pointer array to not more than MaxAllocSize, per reports from Kouhei Kaigai and others of "invalid memory alloc request size" failures. There was discussion of allowing the array to get larger than that by using the "huge" palloc API, but so far no proof that that is actually a good idea, and at this point in the 9.5 cycle major changes from old behavior don't seem like the way to go. Fix a rather serious secondary bug in the new code, which was that it didn't ensure nbuckets remained a power of 2 when recomputing it for the multiple-batch case. Clean up sloppy division of labor between ExecHashIncreaseNumBuckets and its sole call site.	10 years ago
Robert Haas	3bd909b220	Add a Gather executor node. ... A Gather executor node runs any number of copies of a plan in an equal number of workers and merges all of the results into a single tuple stream. It can also run the plan itself, if the workers are unavailable or haven't started up yet. It is intended to work with the Partial Seq Scan node which will be added in future commits. It could also be used to implement parallel query of a different sort by itself, without help from Partial Seq Scan, if the single_copy mode is used. In that mode, a worker executes the plan, and the parallel leader does not, merely collecting the worker's results. So, a Gather node could be inserted into a plan to split the execution of that plan across two processes. Nested Gather nodes aren't currently supported, but we might want to add support for that in the future. There's nothing in the planner to actually generate Gather nodes yet, so it's not quite time to break out the champagne. But we're getting close. Amit Kapila. Some designs suggestions were provided by me, and I also reviewed the patch. Single-copy mode, documentation, and other minor changes also by me.	10 years ago
Robert Haas	d1b7c1ffe7	Parallel executor support. ... This code provides infrastructure for a parallel leader to start up parallel workers to execute subtrees of the plan tree being executed in the master. User-supplied parameters from ParamListInfo are passed down, but PARAM_EXEC parameters are not. Various other constructs, such as initplans, subplans, and CTEs, are also not currently shared. Nevertheless, there's enough here to support a basic implementation of parallel query, and we can lift some of the current restrictions as needed. Amit Kapila and Robert Haas	10 years ago
Robert Haas	4a4e6893aa	Glue layer to connect the executor to the shm_mq mechanism. ... The shm_mq mechanism was built to send error (and notice) messages and tuples between backends. However, shm_mq itself only deals in raw bytes. Since commit 2bd9e412f9, we have had infrastructure for one message to redirect protocol messages to a queue and for another backend to parse them and do useful things with them. This commit introduces a somewhat analogous facility for tuples by adding a new type of DestReceiver, DestTupleQueue, which writes each tuple generated by a query into a shm_mq, and a new TupleQueueFunnel facility which reads raw tuples out of the queue and reconstructs the HeapTuple format expected by the executor. The TupleQueueFunnel abstraction supports reading from multiple tuple streams at the same time, but only in round-robin fashion. Someone could imaginably want other policies, but this should be good enough to meet our short-term needs related to parallel query, and we can always extend it later. This also makes one minor addition to the shm_mq API that didn' seem worth breaking out as a separate patch. Extracted from Amit Kapila's parallel sequential scan patch. This code was originally written by me, and then it was revised by Amit, and then it was revised some more by me.	10 years ago
Alvaro Herrera	8c3d63c521	Remove ExecGetScanType function ... This became unused in a191a169d6.	11 years ago
Tom Lane	dd7a8f66ed	Redesign tablesample method API, and do extensive code review. ... The original implementation of TABLESAMPLE modeled the tablesample method API on index access methods, which wasn't a good choice because, without specialized DDL commands, there's no way to build an extension that can implement a TSM. (Raw inserts into system catalogs are not an acceptable thing to do, because we can't undo them during DROP EXTENSION, nor will pg_upgrade behave sanely.) Instead adopt an API more like procedural language handlers or foreign data wrappers, wherein the only SQL-level support object needed is a single handler function identified by having a special return type. This lets us get rid of the supporting catalog altogether, so that no custom DDL support is needed for the feature. Adjust the API so that it can support non-constant tablesample arguments (the original coding assumed we could evaluate the argument expressions at ExecInitSampleScan time, which is undesirable even if it weren't outright unsafe), and discourage sampling methods from looking at invisible tuples. Make sure that the BERNOULLI and SYSTEM methods are genuinely repeatable within and across queries, as required by the SQL standard, and deal more honestly with methods that can't support that requirement. Make a full code-review pass over the tablesample additions, and fix assorted bugs, omissions, infelicities, and cosmetic issues (such as failure to put the added code stanzas in a consistent ordering). Improve EXPLAIN's output of tablesample plans, too. Back-patch to 9.5 so that we don't have to support the original API in production.	11 years ago
Bruce Momjian	807b9e0dff	pgindent run for 9.5	11 years ago
Simon Riggs	f6d208d6e5	TABLESAMPLE, SQL Standard and extensible ... Add a TABLESAMPLE clause to SELECT statements that allows user to specify random BERNOULLI sampling or block level SYSTEM sampling. Implementation allows for extensible sampling functions to be written, using a standard API. Basic version follows SQLStandard exactly. Usable concrete use cases for the sampling API follow in later commits. Petr Jelinek Reviewed by Michael Paquier and Simon Riggs	11 years ago
Tom Lane	1dc5ebc907	Support "expanded" objects, particularly arrays, for better performance. ... This patch introduces the ability for complex datatypes to have an in-memory representation that is different from their on-disk format. On-disk formats are typically optimized for minimal size, and in any case they can't contain pointers, so they are often not well-suited for computation. Now a datatype can invent an "expanded" in-memory format that is better suited for its operations, and then pass that around among the C functions that operate on the datatype. There are also provisions (rudimentary as yet) to allow an expanded object to be modified in-place under suitable conditions, so that operations like assignment to an element of an array need not involve copying the entire array. The initial application for this feature is arrays, but it is not hard to foresee using it for other container types like JSON, XML and hstore. I have hopes that it will be useful to PostGIS as well. In this initial implementation, a few heuristics have been hard-wired into plpgsql to improve performance for arrays that are stored in plpgsql variables. We would like to generalize those hacks so that other datatypes can obtain similar improvements, but figuring out some appropriate APIs is left as a task for future work. (The heuristics themselves are probably not optimal yet, either, as they sometimes force expansion of arrays that would be better left alone.) Preliminary performance testing shows impressive speed gains for plpgsql functions that do element-by-element access or update of large arrays. There are other cases that get a little slower, as a result of added array format conversions; but we can hope to improve anything that's annoyingly bad. In any case most applications should see a net win. Tom Lane, reviewed by Andres Freund	11 years ago
Tom Lane	afb9249d06	Add support for doing late row locking in FDWs. ... Previously, FDWs could only do "early row locking", that is lock a row as soon as it's fetched, even though local restriction/join conditions might discard the row later. This patch adds callbacks that allow FDWs to do late locking in the same way that it's done for regular tables. To make use of this feature, an FDW must support the "ctid" column as a unique row identifier. Currently, since ctid has to be of type TID, the feature is of limited use, though in principle it could be used by postgres_fdw. We may eventually allow FDWs to specify another data type for ctid, which would make it possible for more FDWs to use this feature. This commit does not modify postgres_fdw to use late locking. We've tested some prototype code for that, but it's not in committable shape, and besides it's quite unclear whether it actually makes sense to do late locking against a remote server. The extra round trips required are likely to outweigh any benefit from improved concurrency. Etsuro Fujita, reviewed by Ashutosh Bapat, and hacked up a lot by me	11 years ago
Tom Lane	1a8a4e5cde	Code review for foreign/custom join pushdown patch. ... Commit e7cb7ee145 included some design decisions that seem pretty questionable to me, and there was quite a lot of stuff not to like about the documentation and comments. Clean up as follows: * Consider foreign joins only between foreign tables on the same server, rather than between any two foreign tables with the same underlying FDW handler function. In most if not all cases, the FDW would simply have had to apply the same-server restriction itself (far more expensively, both for lack of caching and because it would be repeated for each combination of input sub-joins), or else risk nasty bugs. Anyone who's really intent on doing something outside this restriction can always use the set_join_pathlist_hook. * Rename fdw_ps_tlist/custom_ps_tlist to fdw_scan_tlist/custom_scan_tlist to better reflect what they're for, and allow these custom scan tlists to be used even for base relations. * Change make_foreignscan() API to include passing the fdw_scan_tlist value, since the FDW is required to set that. Backwards compatibility doesn't seem like an adequate reason to expect FDWs to set it in some ad-hoc extra step, and anyway existing FDWs can just pass NIL. * Change the API of path-generating subroutines of add_paths_to_joinrel, and in particular that of GetForeignJoinPaths and set_join_pathlist_hook, so that various less-used parameters are passed in a struct rather than as separate parameter-list entries. The objective here is to reduce the probability that future additions to those parameter lists will result in source-level API breaks for users of these hooks. It's possible that this is even a small win for the core code, since most CPU architectures can't pass more than half a dozen parameters efficiently anyway. I kept root, joinrel, outerrel, innerrel, and jointype as separate parameters to reduce code churn in joinpath.c --- in particular, putting jointype into the struct would have been problematic because of the subroutines' habit of changing their local copies of that variable. * Avoid ad-hocery in ExecAssignScanProjectionInfo. It was probably all right for it to know about IndexOnlyScan, but if the list is to grow we should refactor the knowledge out to the callers. * Restore nodeForeignscan.c's previous use of the relcache to avoid extra GetFdwRoutine lookups for base-relation scans. * Lots of cleanup of documentation and missed comments. Re-order some code additions into more logical places.	11 years ago
Andres Freund	168d5805e4	Add support for INSERT ... ON CONFLICT DO NOTHING/UPDATE. ... The newly added ON CONFLICT clause allows to specify an alternative to raising a unique or exclusion constraint violation error when inserting. ON CONFLICT refers to constraints that can either be specified using a inference clause (by specifying the columns of a unique constraint) or by naming a unique or exclusion constraint. DO NOTHING avoids the constraint violation, without touching the pre-existing row. DO UPDATE SET ... [WHERE ...] updates the pre-existing tuple, and has access to both the tuple proposed for insertion and the existing tuple; the optional WHERE clause can be used to prevent an update from being executed. The UPDATE SET and WHERE clauses have access to the tuple proposed for insertion using the "magic" EXCLUDED alias, and to the pre-existing tuple using the table name or its alias. This feature is often referred to as upsert. This is implemented using a new infrastructure called "speculative insertion". It is an optimistic variant of regular insertion that first does a pre-check for existing tuples and then attempts an insert. If a violating tuple was inserted concurrently, the speculatively inserted tuple is deleted and a new attempt is made. If the pre-check finds a matching tuple the alternative DO NOTHING or DO UPDATE action is taken. If the insertion succeeds without detecting a conflict, the tuple is deemed inserted. To handle the possible ambiguity between the excluded alias and a table named excluded, and for convenience with long relation names, INSERT INTO now can alias its target table. Bumps catversion as stored rules change. Author: Peter Geoghegan, with significant contributions from Heikki Linnakangas and Andres Freund. Testing infrastructure by Jeff Janes. Reviewed-By: Heikki Linnakangas, Andres Freund, Robert Haas, Simon Riggs, Dean Rasheed, Stephen Frost and many others.	11 years ago