mirror of https://github.com/postgres/postgres
Tag:
Branch:
Tree:
fdf218f1d5
REL2_0B
REL6_4
REL6_5_PATCHES
REL7_0_PATCHES
REL7_1_STABLE
REL7_2_STABLE
REL7_3_STABLE
REL7_4_STABLE
REL8_0_STABLE
REL8_1_STABLE
REL8_2_STABLE
REL8_3_STABLE
REL8_4_STABLE
REL8_5_ALPHA1_BRANCH
REL8_5_ALPHA2_BRANCH
REL8_5_ALPHA3_BRANCH
REL9_0_ALPHA4_BRANCH
REL9_0_ALPHA5_BRANCH
REL9_0_STABLE
REL9_1_STABLE
REL9_2_STABLE
REL9_3_STABLE
REL9_4_STABLE
REL9_5_STABLE
REL9_6_STABLE
REL_10_STABLE
REL_11_STABLE
REL_12_STABLE
REL_13_STABLE
REL_14_STABLE
REL_15_STABLE
REL_16_STABLE
REL_17_STABLE
REL_18_STABLE
Release_1_0_3
WIN32_DEV
ecpg_big_bison
master
PG95-1_01
PG95-1_08
PG95-1_09
REL2_0
REL6_1
REL6_1_1
REL6_2
REL6_2_1
REL6_3
REL6_3_2
REL6_4_2
REL6_5
REL6_5_1
REL6_5_2
REL6_5_3
REL7_0
REL7_0_2
REL7_0_3
REL7_1
REL7_1_1
REL7_1_2
REL7_1_3
REL7_1_BETA
REL7_1_BETA2
REL7_1_BETA3
REL7_2
REL7_2_1
REL7_2_2
REL7_2_3
REL7_2_4
REL7_2_5
REL7_2_6
REL7_2_7
REL7_2_8
REL7_2_BETA1
REL7_2_BETA2
REL7_2_BETA3
REL7_2_BETA4
REL7_2_BETA5
REL7_2_RC1
REL7_2_RC2
REL7_3
REL7_3_1
REL7_3_10
REL7_3_11
REL7_3_12
REL7_3_13
REL7_3_14
REL7_3_15
REL7_3_16
REL7_3_17
REL7_3_18
REL7_3_19
REL7_3_2
REL7_3_20
REL7_3_21
REL7_3_3
REL7_3_4
REL7_3_5
REL7_3_6
REL7_3_7
REL7_3_8
REL7_3_9
REL7_4
REL7_4_1
REL7_4_10
REL7_4_11
REL7_4_12
REL7_4_13
REL7_4_14
REL7_4_15
REL7_4_16
REL7_4_17
REL7_4_18
REL7_4_19
REL7_4_2
REL7_4_20
REL7_4_21
REL7_4_22
REL7_4_23
REL7_4_24
REL7_4_25
REL7_4_26
REL7_4_27
REL7_4_28
REL7_4_29
REL7_4_3
REL7_4_30
REL7_4_4
REL7_4_5
REL7_4_6
REL7_4_7
REL7_4_8
REL7_4_9
REL7_4_BETA1
REL7_4_BETA2
REL7_4_BETA3
REL7_4_BETA4
REL7_4_BETA5
REL7_4_RC1
REL7_4_RC2
REL8_0_0
REL8_0_0BETA1
REL8_0_0BETA2
REL8_0_0BETA3
REL8_0_0BETA4
REL8_0_0BETA5
REL8_0_0RC1
REL8_0_0RC2
REL8_0_0RC3
REL8_0_0RC4
REL8_0_0RC5
REL8_0_1
REL8_0_10
REL8_0_11
REL8_0_12
REL8_0_13
REL8_0_14
REL8_0_15
REL8_0_16
REL8_0_17
REL8_0_18
REL8_0_19
REL8_0_2
REL8_0_20
REL8_0_21
REL8_0_22
REL8_0_23
REL8_0_24
REL8_0_25
REL8_0_26
REL8_0_3
REL8_0_4
REL8_0_5
REL8_0_6
REL8_0_7
REL8_0_8
REL8_0_9
REL8_1_0
REL8_1_0BETA1
REL8_1_0BETA2
REL8_1_0BETA3
REL8_1_0BETA4
REL8_1_0RC1
REL8_1_1
REL8_1_10
REL8_1_11
REL8_1_12
REL8_1_13
REL8_1_14
REL8_1_15
REL8_1_16
REL8_1_17
REL8_1_18
REL8_1_19
REL8_1_2
REL8_1_20
REL8_1_21
REL8_1_22
REL8_1_23
REL8_1_3
REL8_1_4
REL8_1_5
REL8_1_6
REL8_1_7
REL8_1_8
REL8_1_9
REL8_2_0
REL8_2_1
REL8_2_10
REL8_2_11
REL8_2_12
REL8_2_13
REL8_2_14
REL8_2_15
REL8_2_16
REL8_2_17
REL8_2_18
REL8_2_19
REL8_2_2
REL8_2_20
REL8_2_21
REL8_2_22
REL8_2_23
REL8_2_3
REL8_2_4
REL8_2_5
REL8_2_6
REL8_2_7
REL8_2_8
REL8_2_9
REL8_2_BETA1
REL8_2_BETA2
REL8_2_BETA3
REL8_2_RC1
REL8_3_0
REL8_3_1
REL8_3_10
REL8_3_11
REL8_3_12
REL8_3_13
REL8_3_14
REL8_3_15
REL8_3_16
REL8_3_17
REL8_3_18
REL8_3_19
REL8_3_2
REL8_3_20
REL8_3_21
REL8_3_22
REL8_3_23
REL8_3_3
REL8_3_4
REL8_3_5
REL8_3_6
REL8_3_7
REL8_3_8
REL8_3_9
REL8_3_BETA1
REL8_3_BETA2
REL8_3_BETA3
REL8_3_BETA4
REL8_3_RC1
REL8_3_RC2
REL8_4_0
REL8_4_1
REL8_4_10
REL8_4_11
REL8_4_12
REL8_4_13
REL8_4_14
REL8_4_15
REL8_4_16
REL8_4_17
REL8_4_18
REL8_4_19
REL8_4_2
REL8_4_20
REL8_4_21
REL8_4_22
REL8_4_3
REL8_4_4
REL8_4_5
REL8_4_6
REL8_4_7
REL8_4_8
REL8_4_9
REL8_4_BETA1
REL8_4_BETA2
REL8_4_RC1
REL8_4_RC2
REL8_5_ALPHA1
REL8_5_ALPHA2
REL8_5_ALPHA3
REL9_0_0
REL9_0_1
REL9_0_10
REL9_0_11
REL9_0_12
REL9_0_13
REL9_0_14
REL9_0_15
REL9_0_16
REL9_0_17
REL9_0_18
REL9_0_19
REL9_0_2
REL9_0_20
REL9_0_21
REL9_0_22
REL9_0_23
REL9_0_3
REL9_0_4
REL9_0_5
REL9_0_6
REL9_0_7
REL9_0_8
REL9_0_9
REL9_0_ALPHA4
REL9_0_ALPHA5
REL9_0_BETA1
REL9_0_BETA2
REL9_0_BETA3
REL9_0_BETA4
REL9_0_RC1
REL9_1_0
REL9_1_1
REL9_1_10
REL9_1_11
REL9_1_12
REL9_1_13
REL9_1_14
REL9_1_15
REL9_1_16
REL9_1_17
REL9_1_18
REL9_1_19
REL9_1_2
REL9_1_20
REL9_1_21
REL9_1_22
REL9_1_23
REL9_1_24
REL9_1_3
REL9_1_4
REL9_1_5
REL9_1_6
REL9_1_7
REL9_1_8
REL9_1_9
REL9_1_ALPHA1
REL9_1_ALPHA2
REL9_1_ALPHA3
REL9_1_ALPHA4
REL9_1_ALPHA5
REL9_1_BETA1
REL9_1_BETA2
REL9_1_BETA3
REL9_1_RC1
REL9_2_0
REL9_2_1
REL9_2_10
REL9_2_11
REL9_2_12
REL9_2_13
REL9_2_14
REL9_2_15
REL9_2_16
REL9_2_17
REL9_2_18
REL9_2_19
REL9_2_2
REL9_2_20
REL9_2_21
REL9_2_22
REL9_2_23
REL9_2_24
REL9_2_3
REL9_2_4
REL9_2_5
REL9_2_6
REL9_2_7
REL9_2_8
REL9_2_9
REL9_2_BETA1
REL9_2_BETA2
REL9_2_BETA3
REL9_2_BETA4
REL9_2_RC1
REL9_3_0
REL9_3_1
REL9_3_10
REL9_3_11
REL9_3_12
REL9_3_13
REL9_3_14
REL9_3_15
REL9_3_16
REL9_3_17
REL9_3_18
REL9_3_19
REL9_3_2
REL9_3_20
REL9_3_21
REL9_3_22
REL9_3_23
REL9_3_24
REL9_3_25
REL9_3_3
REL9_3_4
REL9_3_5
REL9_3_6
REL9_3_7
REL9_3_8
REL9_3_9
REL9_3_BETA1
REL9_3_BETA2
REL9_3_RC1
REL9_4_0
REL9_4_1
REL9_4_10
REL9_4_11
REL9_4_12
REL9_4_13
REL9_4_14
REL9_4_15
REL9_4_16
REL9_4_17
REL9_4_18
REL9_4_19
REL9_4_2
REL9_4_20
REL9_4_21
REL9_4_22
REL9_4_23
REL9_4_24
REL9_4_25
REL9_4_26
REL9_4_3
REL9_4_4
REL9_4_5
REL9_4_6
REL9_4_7
REL9_4_8
REL9_4_9
REL9_4_BETA1
REL9_4_BETA2
REL9_4_BETA3
REL9_4_RC1
REL9_5_0
REL9_5_1
REL9_5_10
REL9_5_11
REL9_5_12
REL9_5_13
REL9_5_14
REL9_5_15
REL9_5_16
REL9_5_17
REL9_5_18
REL9_5_19
REL9_5_2
REL9_5_20
REL9_5_21
REL9_5_22
REL9_5_23
REL9_5_24
REL9_5_25
REL9_5_3
REL9_5_4
REL9_5_5
REL9_5_6
REL9_5_7
REL9_5_8
REL9_5_9
REL9_5_ALPHA1
REL9_5_ALPHA2
REL9_5_BETA1
REL9_5_BETA2
REL9_5_RC1
REL9_6_0
REL9_6_1
REL9_6_10
REL9_6_11
REL9_6_12
REL9_6_13
REL9_6_14
REL9_6_15
REL9_6_16
REL9_6_17
REL9_6_18
REL9_6_19
REL9_6_2
REL9_6_20
REL9_6_21
REL9_6_22
REL9_6_23
REL9_6_24
REL9_6_3
REL9_6_4
REL9_6_5
REL9_6_6
REL9_6_7
REL9_6_8
REL9_6_9
REL9_6_BETA1
REL9_6_BETA2
REL9_6_BETA3
REL9_6_BETA4
REL9_6_RC1
REL_10_0
REL_10_1
REL_10_10
REL_10_11
REL_10_12
REL_10_13
REL_10_14
REL_10_15
REL_10_16
REL_10_17
REL_10_18
REL_10_19
REL_10_2
REL_10_20
REL_10_21
REL_10_22
REL_10_23
REL_10_3
REL_10_4
REL_10_5
REL_10_6
REL_10_7
REL_10_8
REL_10_9
REL_10_BETA1
REL_10_BETA2
REL_10_BETA3
REL_10_BETA4
REL_10_RC1
REL_11_0
REL_11_1
REL_11_10
REL_11_11
REL_11_12
REL_11_13
REL_11_14
REL_11_15
REL_11_16
REL_11_17
REL_11_18
REL_11_19
REL_11_2
REL_11_20
REL_11_21
REL_11_22
REL_11_3
REL_11_4
REL_11_5
REL_11_6
REL_11_7
REL_11_8
REL_11_9
REL_11_BETA1
REL_11_BETA2
REL_11_BETA3
REL_11_BETA4
REL_11_RC1
REL_12_0
REL_12_1
REL_12_10
REL_12_11
REL_12_12
REL_12_13
REL_12_14
REL_12_15
REL_12_16
REL_12_17
REL_12_18
REL_12_19
REL_12_2
REL_12_20
REL_12_21
REL_12_22
REL_12_3
REL_12_4
REL_12_5
REL_12_6
REL_12_7
REL_12_8
REL_12_9
REL_12_BETA1
REL_12_BETA2
REL_12_BETA3
REL_12_BETA4
REL_12_RC1
REL_13_0
REL_13_1
REL_13_10
REL_13_11
REL_13_12
REL_13_13
REL_13_14
REL_13_15
REL_13_16
REL_13_17
REL_13_18
REL_13_19
REL_13_2
REL_13_20
REL_13_21
REL_13_22
REL_13_3
REL_13_4
REL_13_5
REL_13_6
REL_13_7
REL_13_8
REL_13_9
REL_13_BETA1
REL_13_BETA2
REL_13_BETA3
REL_13_RC1
REL_14_0
REL_14_1
REL_14_10
REL_14_11
REL_14_12
REL_14_13
REL_14_14
REL_14_15
REL_14_16
REL_14_17
REL_14_18
REL_14_19
REL_14_2
REL_14_3
REL_14_4
REL_14_5
REL_14_6
REL_14_7
REL_14_8
REL_14_9
REL_14_BETA1
REL_14_BETA2
REL_14_BETA3
REL_14_RC1
REL_15_0
REL_15_1
REL_15_10
REL_15_11
REL_15_12
REL_15_13
REL_15_14
REL_15_2
REL_15_3
REL_15_4
REL_15_5
REL_15_6
REL_15_7
REL_15_8
REL_15_9
REL_15_BETA1
REL_15_BETA2
REL_15_BETA3
REL_15_BETA4
REL_15_RC1
REL_15_RC2
REL_16_0
REL_16_1
REL_16_10
REL_16_2
REL_16_3
REL_16_4
REL_16_5
REL_16_6
REL_16_7
REL_16_8
REL_16_9
REL_16_BETA1
REL_16_BETA2
REL_16_BETA3
REL_16_RC1
REL_17_0
REL_17_1
REL_17_2
REL_17_3
REL_17_4
REL_17_5
REL_17_6
REL_17_BETA1
REL_17_BETA2
REL_17_BETA3
REL_17_RC1
REL_18_BETA1
REL_18_BETA2
REL_18_BETA3
REL_18_RC1
Release_1_0_2
Release_2_0
Release_2_0_0
release-6-3
${ noResults }
547 Commits (fdf218f1d52b2c93145f16b28b8374703ae4ef19)
Author | SHA1 | Message | Date |
---|---|---|---|
![]() |
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 |
![]() |
38d103763d |
Make more use of castNode()
|
9 years ago |
![]() |
555494d1bc |
Fix placement of initPlans when forcibly materializing a subplan.
If we forcibly place a Material node atop a finished subplan, we need
to move any initPlans attached to the subplan up to the Material node,
in order to keep SS_finalize_plan() happy. I'd figured this out in
commit
|
9 years ago |
![]() |
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 |
![]() |
215b43cdc8 |
Improve RLS planning by marking individual quals with security levels.
In an RLS query, we must ensure that security filter quals are evaluated before ordinary query quals, in case the latter contain "leaky" functions that could expose the contents of sensitive rows. The original implementation of RLS planning ensured this by pushing the scan of a secured table into a sub-query that it marked as a security-barrier view. Unfortunately this results in very inefficient plans in many cases, because the sub-query cannot be flattened and gets planned independently of the rest of the query. To fix, drop the use of sub-queries to enforce RLS qual order, and instead mark each qual (RestrictInfo) with a security_level field establishing its priority for evaluation. Quals must be evaluated in security_level order, except that "leakproof" quals can be allowed to go ahead of quals of lower security_level, if it's helpful to do so. This has to be enforced within the ordering of any one list of quals to be evaluated at a table scan node, and we also have to ensure that quals are not chosen for early evaluation (i.e., use as an index qual or TID scan qual) if they're not allowed to go ahead of other quals at the scan node. This is sufficient to fix the problem for RLS quals, since we only support RLS policies on simple tables and thus RLS quals will always exist at the table scan level only. Eventually these qual ordering rules should be enforced for join quals as well, which would permit improving planning for explicit security-barrier views; but that's a task for another patch. Note that FDWs would need to be aware of these rules --- and not, for example, send an insecure qual for remote execution --- but since we do not yet allow RLS policies on foreign tables, the case doesn't arise. This will need to be addressed before we can allow such policies. Patch by me, reviewed by Stephen Frost and Dean Rasheed. Discussion: https://postgr.es/m/8185.1477432701@sss.pgh.pa.us |
9 years ago |
![]() |
1d25779284 |
Update copyright via script for 2017
|
9 years ago |
![]() |
7012b132d0 |
postgres_fdw: Push down aggregates to remote servers.
Now that the upper planner uses paths, and now that we have proper hooks to inject paths into the upper planning process, it's possible for foreign data wrappers to arrange to push aggregates to the remote side instead of fetching all of the rows and aggregating them locally. This figures to be a massive win for performance, so teach postgres_fdw to do it. Jeevan Chalke and Ashutosh Bapat. Reviewed by Ashutosh Bapat with additional testing by Prabhat Sahu. Various mostly cosmetic changes by me. |
9 years ago |
![]() |
2c00fad286 |
Fix improper repetition of previous results from a hashed aggregate.
ExecReScanAgg's check for whether it could re-use a previously calculated hashtable neglected the possibility that the Agg node might reference PARAM_EXEC Params that are not referenced by its input plan node. That's okay if the Params are in upper tlist or qual expressions; but if one appears in aggregate input expressions, then the hashtable contents need to be recomputed when the Param's value changes. To avoid unnecessary performance degradation in the case of a Param that isn't within an aggregate input, add logic to the planner to determine which Params are within aggregate inputs. This requires a new field in struct Agg, but fortunately we never write plans to disk, so this isn't an initdb-forcing change. Per report from Jeevan Chalke. This has been broken since forever, so back-patch to all supported branches. Andrew Gierth, with minor adjustments by me Report: <CAM2+6=VY8ykfLT5Q8vb9B6EbeBk-NGuLbT6seaQ+Fq4zXvrDcA@mail.gmail.com> |
9 years ago |
![]() |
45639a0525 |
Avoid invalidating all foreign-join cached plans when user mappings change.
We must not push down a foreign join when the foreign tables involved should be accessed under different user mappings. Previously we tried to enforce that rule literally during planning, but that meant that the resulting plans were dependent on the current contents of the pg_user_mapping catalog, and we had to blow away all cached plans containing any remote join when anything at all changed in pg_user_mapping. This could have been improved somewhat, but the fact that a syscache inval callback has very limited info about what changed made it hard to do better within that design. Instead, let's change the planner to not consider user mappings per se, but to allow a foreign join if both RTEs have the same checkAsUser value. If they do, then they necessarily will use the same user mapping at runtime, and we don't need to know specifically which one that is. Post-plan-time changes in pg_user_mapping no longer require any plan invalidation. This rule does give up some optimization ability, to wit where two foreign table references come from views with different owners or one's from a view and one's directly in the query, but nonetheless the same user mapping would have applied. We'll sacrifice the first case, but to not regress more than we have to in the second case, allow a foreign join involving both zero and nonzero checkAsUser values if the nonzero one is the same as the prevailing effective userID. In that case, mark the plan as only runnable by that userID. The plancache code already had a notion of plans being userID-specific, in order to support RLS. It was a little confused though, in particular lacking clarity of thought as to whether it was the rewritten query or just the finished plan that's dependent on the userID. Rearrange that code so that it's clearer what depends on which, and so that the same logic applies to both RLS-injected role dependency and foreign-join-injected role dependency. Note that this patch doesn't remove the other issue mentioned in the original complaint, which is that while we'll reliably stop using a foreign join if it's disallowed in a new context, we might fail to start using a foreign join if it's now allowed, but we previously created a generic cached plan that didn't use one. It was agreed that the chance of winning that way was not high enough to justify the much larger number of plan invalidations that would have to occur if we tried to cause it to happen. In passing, clean up randomly-varying spelling of EXPLAIN commands in postgres_fdw.sql, and fix a COSTS ON example that had been allowed to leak into the committed tests. This reverts most of commits |
9 years ago |
![]() |
7b67a0a49c |
Fix some interrelated planner issues with initPlans and Param munging.
In commit |
9 years ago |
![]() |
5ce5e4a12e |
Set consider_parallel correctly for upper planner rels.
Commit |
9 years ago |
![]() |
c12f02ffc9 |
Don't apply sortgroupref labels to a tlist that might not match.
If we need to use a gating Result node for pseudoconstant quals,
create_scan_plan() intentionally suppresses use_physical_tlist's checks
on whether there are matches for sortgroupref labels, on the grounds that
we don't need matches because we can label the Result's projection output
properly. However, it then called apply_pathtarget_labeling_to_tlist
anyway. This oversight was harmless when written, but in commit
|
9 years ago |
![]() |
19e972d558 |
Rethink node-level representation of partial-aggregation modes.
The original coding had three separate booleans representing partial
aggregation behavior, which was confusing, unreadable, and error-prone,
not least because the booleans weren't always listed in the same order.
It was also inadequate for the allegedly-desirable future extension to
support intermediate partial aggregation, because we'd need separate
markers for serialization and deserialization in such a case.
Merge these bools into an enum "AggSplit" to provide symbolic names for
the supported operating modes (and document what those are). By assigning
the values of the enum constants carefully, we can treat AggSplit values
as options bitmasks so that tests of what to do aren't noticeably more
expensive than before.
While at it, get rid of Aggref.aggoutputtype. That's not needed since
commit
|
9 years ago |
![]() |
8b9d323cb9 |
Refactor planning of projection steps that don't need a Result plan node.
The original upper-planner-pathification design (commit |
9 years ago |
![]() |
4bc424b968 |
pgindent run for 9.6
|
9 years ago |
![]() |
c9ce4a1c61 |
Eliminate "parallel degree" terminology.
This terminology provoked widespread complaints. So, instead, rename the GUC max_parallel_degree to max_parallel_workers_per_gather (leaving room for a possible future GUC max_parallel_workers that acts as a system-wide limit), and rename the parallel_degree reloption to parallel_workers. Rename structure members to match. These changes create a dump/restore hazard for users of PostgreSQL 9.6beta1 who have set the reloption (or applied the GUC using ALTER USER or ALTER DATABASE). |
9 years ago |
![]() |
aeb9ae6457 |
Disable physical tlist if any Var would need multiple sortgroupref labels.
As part of upper planner pathification (commit
|
9 years ago |
![]() |
f9aefcb91f |
Support using index-only scans with partial indexes in more cases.
Previously, the planner would reject an index-only scan if any restriction clause for its table used a column not available from the index, even if that restriction clause would later be dropped from the plan entirely because it's implied by the index's predicate. This is a fairly common situation for partial indexes because predicates using columns not included in the index are often the most useful kind of predicate, and we have to duplicate (or at least imply) the predicate in the WHERE clause in order to get the index to be considered at all. So index-only scans were essentially unavailable with such partial indexes. To fix, we have to do detection of implied-by-predicate clauses much earlier in the planner. This patch puts it in check_index_predicates (nee check_partial_indexes), meaning it gets done for every partial index, whereas we previously only considered this issue at createplan time, so that the work was only done for an index actually selected for use. That could result in a noticeable planning slowdown for queries against tables with many partial indexes. However, testing suggested that there isn't really a significant cost, especially not with reasonable numbers of partial indexes. We do get a small additional benefit, which is that cost_index is more accurate since it correctly discounts the evaluation cost of clauses that will be removed. We can also avoid considering such clauses as potential indexquals, which saves useless matching cycles in the case where the predicate columns aren't in the index, and prevents generating bogus plans that double-count the clause's selectivity when the columns are in the index. Tomas Vondra and Kyotaro Horiguchi, reviewed by Kevin Grittner and Konstantin Knizhnik, and whacked around a little by me |
10 years ago |
![]() |
5fe5a2cee9 |
Allow aggregate transition states to be serialized and deserialized.
This is necessary infrastructure for supporting parallel aggregation for aggregates whose transition type is "internal". Such values can't be passed between cooperating processes, because they are just pointers. David Rowley, reviewed by Tomas Vondra and by me. |
10 years ago |
![]() |
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 |
![]() |
e06a38965b |
Support parallel aggregation.
Parallel workers can now partially aggregate the data and pass the transition values back to the leader, which can combine the partial results to produce the final answer. David Rowley, based on earlier work by Haribabu Kommi. Reviewed by Álvaro Herrera, Tomas Vondra, Amit Kapila, James Sewell, and me. |
10 years ago |
![]() |
0bf3ae88af |
Directly modify foreign tables.
postgres_fdw can now sent an UPDATE or DELETE statement directly to the foreign server in simple cases, rather than sending a SELECT FOR UPDATE statement and then updating or deleting rows one-by-one. Etsuro Fujita, reviewed by Rushabh Lathia, Shigeru Hanada, Kyotaro Horiguchi, Albe Laurenz, Thom Brown, and me. |
10 years ago |
![]() |
992b5ba30d |
Push scan/join target list beneath Gather when possible.
This means that, for example, "SELECT expensive_func(a) FROM bigtab WHERE something" can compute expensive_func(a) in the workers rather than the leader if it happens to be parallel-safe, which figures to be a big win in some practical cases. Currently, we can only do this if the entire target list is parallel-safe. If we worked harder, we might be able to evaluate parallel-safe targets in the worker and any parallel-restricted targets in the leader, but that would be more complicated, and there aren't that many parallel-restricted functions that people are likely to use in queries anyway. I think. So just do the simple thing for the moment. Robert Haas, Amit Kapila, and Tom Lane |
10 years ago |
![]() |
307c78852f |
Rethink representation of PathTargets.
In commit
|
10 years ago |
![]() |
570be1f73f |
Re-export a few of createplan.c's make_xxx() functions.
CitusDB is using these and don't wish to redesign their code right now. I am not on board with this being a good idea, or a good precedent, but I lack the energy to fight about it. |
10 years ago |
![]() |
c82c92b111 |
Give pull_var_clause() reject/recurse/return behavior for WindowFuncs too.
All along, this function should have treated WindowFuncs in a manner similar to Aggrefs, ie with an option whether or not to recurse into them. By not considering the case, it was always recursing, which is OK for most callers (although I suspect that the case in prepare_sort_from_pathkeys might represent a bug). But now we need return-without-recursing behavior as well. There are also more than a few callers that should never see a WindowFunc, and now we'll get some error checking on that. |
10 years ago |
![]() |
364a9f47ab |
Refactor pull_var_clause's API to make it less tedious to extend.
In commit |
10 years ago |
![]() |
8776c15c85 |
Fix incorrect tlist generation in create_gather_plan().
This function is written as though Gather doesn't project; but it does. Even if it did not project, though, we must use build_path_tlist to ensure that the output columns receive correct sortgroupref labeling. Per report from Amit Kapila. |
10 years ago |
![]() |
9e8b99420f |
Improve handling of group-column indexes in GroupingSetsPath.
Instead of having planner.c compute a groupColIdx array and store it in GroupingSetsPaths, make create_groupingsets_plan() find the grouping columns by searching in the child plan node's tlist. Although that's probably a bit slower for create_groupingsets_plan(), it's more like the way every other plan node type does this, and it provides positive confirmation that we know which child output columns we're supposed to be grouping on. (Indeed, looking at this now, I'm not at all sure that it wasn't broken before, because create_groupingsets_plan() isn't demanding an exact tlist match from its child node.) Also, this allows substantial simplification in planner.c, because it no longer needs to compute the groupColIdx array at all; no other cases were using it. I'd intended to put off this refactoring until later (like 9.7), but in view of the likely bug fix and the need to rationalize planner.c's tlist handling so we can do something sane with Konstantin Knizhnik's function-evaluation-postponement patch, I think it can't wait. |
10 years ago |
![]() |
8c314b9853 |
Finish refactoring make_foo() functions in createplan.c.
This patch removes some redundant cost calculations that I left for later
cleanup in commit
|
10 years ago |
![]() |
3fc6e2d7f5 |
Make the upper part of the planner work by generating and comparing Paths.
I've been saying we needed to do this for more than five years, and here it finally is. This patch removes the ever-growing tangle of spaghetti logic that grouping_planner() used to use to try to identify the best plan for post-scan/join query steps. Now, there is (nearly) independent consideration of each execution step, and entirely separate construction of Paths to represent each of the possible ways to do that step. We choose the best Path or set of Paths using the same add_path() logic that's been used inside query_planner() for years. In addition, this patch removes the old restriction that subquery_planner() could return only a single Plan. It now returns a RelOptInfo containing a set of Paths, just as query_planner() does, and the parent query level can use each of those Paths as the basis of a SubqueryScanPath at its level. This allows finding some optimizations that we missed before, wherein a subquery was capable of returning presorted data and thereby avoiding a sort in the parent level, making the overall cost cheaper even though delivering sorted output was not the cheapest plan for the subquery in isolation. (A couple of regression test outputs change in consequence of that. However, there is very little change in visible planner behavior overall, because the point of this patch is not to get immediate planning benefits but to create the infrastructure for future improvements.) There is a great deal left to do here. This patch unblocks a lot of planner work that was basically impractical in the old code structure, such as allowing FDWs to implement remote aggregation, or rewriting plan_set_operations() to allow consideration of multiple implementation orders for set operations. (The latter will likely require a full rewrite of plan_set_operations(); what I've done here is only to fix it to return Paths not Plans.) I have also left unfinished some localized refactoring in createplan.c and planner.c, because it was not necessary to get this patch to a working state. Thanks to Robert Haas, David Rowley, and Amit Kapila for review. |
10 years ago |
![]() |
19a541143a |
Add an explicit representation of the output targetlist to Paths.
Up to now, there's been an assumption that all Paths for a given relation compute the same output column set (targetlist). However, there are good reasons to remove that assumption. For example, an indexscan on an expression index might be able to return the value of an expensive function "for free". While we have the ability to generate such a plan today in simple cases, we don't have a way to model that it's cheaper than a plan that computes the function from scratch, nor a way to create such a plan in join cases (where the function computation would normally happen at the topmost join node). Also, we need this so that we can have Paths representing post-scan/join steps, where the targetlist may well change from one step to the next. Therefore, invent a "struct PathTarget" representing the columns we expect a plan step to emit. It's convenient to include the output tuple width and tlist evaluation cost in this struct, and there will likely be additional fields in future. While Path nodes that actually do have custom outputs will need their own PathTargets, it will still be true that most Paths for a given relation will compute the same tlist. To reduce the overhead added by this patch, keep a "default PathTarget" in RelOptInfo, and allow Paths that compute that column set to just point to their parent RelOptInfo's reltarget. (In the patch as committed, actually every Path is like that, since we do not yet have any cases of custom PathTargets.) I took this opportunity to provide some more-honest costing of PlaceHolderVar evaluation. Up to now, the assumption that "scan/join reltargetlists have cost zero" was applied not only to Vars, where it's reasonable, but also PlaceHolderVars where it isn't. Now, we add the eval cost of a PlaceHolderVar's expression to the first plan level where it can be computed, by including it in the PathTarget cost field and adding that to the cost estimates for Paths. This isn't perfect yet but it's much better than before, and there is a way forward to improve it more. This costing change affects the join order chosen for a couple of the regression tests, changing expected row ordering. |
10 years ago |
![]() |
7c944bd903 |
Introduce a new GUC force_parallel_mode for testing purposes.
When force_parallel_mode = true, we enable the parallel mode restrictions for all queries for which this is believed to be safe. For the subset of those queries believed to be safe to run entirely within a worker, we spin up a worker and run the query there instead of running it in the original process. When force_parallel_mode = regress, make additional changes to allow the regression tests to run cleanly even though parallel workers have been injected under the hood. Taken together, this facilitates both better user testing and better regression testing of the parallelism code. Robert Haas, with help from Amit Kapila and Rushabh Lathia. |
10 years ago |
![]() |
3cb5867b7d |
Don't test for system columns on join relations
create_foreignscan_plan needs to know whether any system columns are requested from a relation (this flag is needed by ForeignNext during execution). However, for join relations this is a pointless test, because it's not possible to request system columns from them, so remove the check. Author: Etsuro Fujita Discussion: http://www.postgresql.org/message-id/56AA0FC5.9000207@lab.ntt.co.jp Reviewed-by: David Rowley, Robert Haas |
10 years ago |
![]() |
fbe5a3fb73 |
Only try to push down foreign joins if the user mapping OIDs match.
Previously, the foreign join pushdown infrastructure left the question of security entirely up to individual FDWs, but it would be easy for a foreign data wrapper to inadvertently open up subtle security holes that way. So, make it the core code's job to determine which user mapping OID is relevant, and don't attempt join pushdown unless it's the same for all relevant relations. Per a suggestion from Tom Lane. Shigeru Hanada and Ashutosh Bapat, reviewed by Etsuro Fujita and KaiGai Kohei, with some further changes by me. |
10 years ago |
![]() |
45be99f8cd |
Support parallel joins, and make related improvements.
The core innovation of this patch is the introduction of the concept of a partial path; that is, a path which if executed in parallel will generate a subset of the output rows in each process. Gathering a partial path produces an ordinary (complete) path. This allows us to generate paths for parallel joins by joining a partial path for one side (which at the baserel level is currently always a Partial Seq Scan) to an ordinary path on the other side. This is subject to various restrictions at present, especially that this strategy seems unlikely to be sensible for merge joins, so only nested loops and hash joins paths are generated. This also allows an Append node to be pushed below a Gather node in the case of a partitioned table. Testing revealed that early versions of this patch made poor decisions in some cases, which turned out to be caused by the fact that the original cost model for Parallel Seq Scan wasn't very good. So this patch tries to make some modest improvements in that area. There is much more to be done in the area of generating good parallel plans in all cases, but this seems like a useful step forward. Patch by me, reviewed by Dilip Kumar and Amit Kapila. |
10 years ago |
![]() |
a7de3dc5c3 |
Support multi-stage aggregation.
Aggregate nodes now have two new modes: a "partial" mode where they output the unfinalized transition state, and a "finalize" mode where they accept unfinalized transition states rather than individual values as input. These new modes are not used anywhere yet, but they will be necessary for parallel aggregation. The infrastructure also figures to be useful for cases where we want to aggregate local data and remote data via the FDW interface, and want to bring back partial aggregates from the remote side that can then be combined with locally generated partial aggregates to produce the final value. It may also be useful even when neither FDWs nor parallelism are in play, as explained in the comments in nodeAgg.c. David Rowley and Simon Riggs, reviewed by KaiGai Kohei, Heikki Linnakangas, Haribabu Kommi, and me. |
10 years ago |
![]() |
ee94300446 |
Update copyright for 2016
Backpatch certain files through 9.1 |
10 years ago |
![]() |
51d152f18e |
Change Gather not to use a physical tlist.
This should have been part of the original commit, but was missed. Pushing data between processes is expensive, so we definitely want to project away unneeded columns here, just as we do for other nodes like Sort and Hash that care about the volume of data. |
10 years ago |
![]() |
385f337c9f |
Allow foreign and custom joins to handle EvalPlanQual rechecks.
Commit
|
10 years ago |
![]() |
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 |
![]() |
5c90a2ffdd |
Comment update.
Adjust to account for
|
10 years ago |
![]() |
5fc4c26db5 |
Allow FDWs to push down quals without breaking EvalPlanQual rechecks.
This fixes a long-standing bug which was discovered while investigating the interaction between the new join pushdown code and the EvalPlanQual machinery: if a ForeignScan appears on the inner side of a paramaterized nestloop, an EPQ recheck would re-return the original tuple even if it no longer satisfied the pushed-down quals due to changed parameter values. This fix adds a new member to ForeignScan and ForeignScanState and a new argument to make_foreignscan, and requires changes to FDWs which push down quals to populate that new argument with a list of quals they have chosen to push down. Therefore, I'm only back-patching to 9.5, even though the bug is not new in 9.5. Etsuro Fujita, reviewed by me and by Kyotaro Horiguchi. |
10 years ago |
![]() |
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 |
![]() |
68fa28f771 |
Postpone extParam/allParam calculations until the very end of planning.
Until now we computed these Param ID sets at the end of subquery_planner, but that approach depends on subquery_planner returning a concrete Plan tree. We would like to switch over to returning one or more Paths for a subquery, and in that representation the necessary details aren't fully fleshed out (not to mention that we don't really want to do this work for Paths that end up getting discarded). Hence, refactor so that we can compute the param ID sets at the end of planning, just before set_plan_references is run. The main change necessary to make this work is that we need to capture the set of outer-level Param IDs available to the current query level before exiting subquery_planner, since the outer levels' plan_params lists are transient. (That's not going to pose a problem for returning Paths, since all the work involved in producing that data is part of expression preprocessing, which will continue to happen before Paths are produced.) On the plus side, this change gets rid of several existing kluges. Eventually I'd like to get rid of SS_finalize_plan altogether in favor of doing this work during set_plan_references, but that will require some complex rejiggering because SS_finalize_plan needs to visit subplans and initplans before the main plan. So leave that idea for another day. |
10 years ago |
![]() |
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. |
10 years ago |
![]() |
828df727a6 |
Fix spelling error
David Rowley |
10 years ago |
![]() |
5ca611841b |
Improve handling of CustomPath/CustomPlan(State) children.
Allow CustomPath to have a list of paths, CustomPlan a list of plans, and CustomPlanState a list of planstates known to the core system, so that custom path/plan providers can more reasonably use this infrastructure for nodes with multiple children. KaiGai Kohei, per a design suggestion from Tom Lane, with some further kibitzing by me. |
10 years ago |
![]() |
807b9e0dff |
pgindent run for 9.5
|
10 years ago |
![]() |
c5dd8ead40 |
More fixes for lossy-GiST-distance-functions patch.
Paul Ramsey reported that commit
|
10 years ago |