- 19 Jul, 2021 1 commit
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Michael Paquier authored
This grammar has no effect as there are no dependencies on statistics, but it is supported by the parser. This is more consistent with the other DROP commands. Author: Vignesh C Discussion: https://postgr.es/m/CALDaNm1LA=yNmzcSfy+0oe6CEAgsxXRf_-UutE3ZncFi8QkFNQ@mail.gmail.com Backpatch-through: 10
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- 23 Nov, 2017 1 commit
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Peter Eisentraut authored
Since some preparation work had already been done, the only source changes left were changing empty-element tags like <xref linkend="foo"> to <xref linkend="foo"/>, and changing the DOCTYPE. The source files are still named *.sgml, but they are actually XML files now. Renaming could be considered later. In the build system, the intermediate step to convert from SGML to XML is removed. Everything is build straight from the source files again. The OpenSP (or the old SP) package is no longer needed. The documentation toolchain instructions are updated and are much simpler now. Peter Eisentraut, Alexander Lakhin, Jürgen Purtz
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- 20 Oct, 2017 1 commit
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Peter Eisentraut authored
IDs in SGML are case insensitive, and we have accumulated a mix of upper and lower case IDs, including different variants of the same ID. In XML, these will be case sensitive, so we need to fix up those differences. Going to all lower case seems most straightforward, and the current build process already makes all anchors and lower case anyway during the SGML->XML conversion, so this doesn't create any difference in the output right now. A future XML-only build process would, however, maintain any mixed case ID spellings in the output, so that is another reason to clean this up beforehand. Author: Alexander Lakhin <exclusion@gmail.com>
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- 10 Oct, 2017 1 commit
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Peter Eisentraut authored
for DocBook XML compatibility
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- 14 Jun, 2017 1 commit
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Peter Eisentraut authored
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- 12 May, 2017 1 commit
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Alvaro Herrera authored
Previously, we had the WITH clause in the middle of the command, where you'd specify both generic options as well as statistic types. Few people liked this, so this commit changes it to remove the WITH keyword from that clause and makes it accept statistic types only. (We currently don't have any generic options, but if we invent in the future, we will gain a new WITH clause, probably at the end of the command). Also, the column list is now specified without parens, which makes the whole command look more similar to a SELECT command. This change will let us expand the command to supporting expressions (not just columns names) as well as multiple tables and their join conditions. Tom added lots of code comments and fixed some parts of the CREATE STATISTICS reference page, too; more changes in this area are forthcoming. He also fixed a potential problem in the alter_generic regression test, reducing verbosity on a cascaded drop to avoid dependency on message ordering, as we do in other tests. Tom also closed a security bug: we documented that table ownership was required in order to create a statistics object on it, but didn't actually implement it. Implement tab-completion for statistics objects. This can stand some more improvement. Authors: Alvaro Herrera, with lots of cleanup by Tom Lane Discussion: https://postgr.es/m/20170420212426.ltvgyhnefvhixm6i@alvherre.pgsql
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- 24 Mar, 2017 1 commit
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Alvaro Herrera authored
Add support for explicitly declared statistic objects (CREATE STATISTICS), allowing collection of statistics on more complex combinations that individual table columns. Companion commands DROP STATISTICS and ALTER STATISTICS ... OWNER TO / SET SCHEMA / RENAME are added too. All this DDL has been designed so that more statistic types can be added later on, such as multivariate most-common-values and multivariate histograms between columns of a single table, leaving room for permitting columns on multiple tables, too, as well as expressions. This commit only adds support for collection of n-distinct coefficient on user-specified sets of columns in a single table. This is useful to estimate number of distinct groups in GROUP BY and DISTINCT clauses; estimation errors there can cause over-allocation of memory in hashed aggregates, for instance, so it's a worthwhile problem to solve. A new special pseudo-type pg_ndistinct is used. (num-distinct estimation was deemed sufficiently useful by itself that this is worthwhile even if no further statistic types are added immediately; so much so that another version of essentially the same functionality was submitted by Kyotaro Horiguchi: https://postgr.es/m/20150828.173334.114731693.horiguchi.kyotaro@lab.ntt.co.jp though this commit does not use that code.) Author: Tomas Vondra. Some code rework by Álvaro. Reviewed-by: Dean Rasheed, David Rowley, Kyotaro Horiguchi, Jeff Janes, Ideriha Takeshi Discussion: https://postgr.es/m/543AFA15.4080608@fuzzy.cz https://postgr.es/m/20170320190220.ixlaueanxegqd5gr@alvherre.pgsql
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