On 9th of November 2017, Robert Haas committed patch:

Add hash partitioning.
 
Hash partitioning is useful when you want to partition a growing data
set evenly.  This can be useful to keep table sizes reasonable, which
makes maintenance operations such as VACUUM faster, or to enable
partition-wise join.
 
At present, we still depend on constraint exclusion for partitioning
pruning, and the shape of the partition constraints for hash
partitioning is such that that doesn't work.  Work is underway to fix
that, which should both improve performance and make partitioning
pruning work with hash partitioning.
 
Amul Sul, reviewed and tested by Dilip Kumar, Ashutosh Bapat, Yugo
Nagata, Rajkumar Raghuwanshi, Jesper Pedersen, and by me.  A few
final tweaks also by me.
 
Discussion: http://postgr.es/m/CAAJ_b96fhpJAP=ALbETmeLk1Uni_GFZD938zgenhF49qgDTjaQ@mail.gmail.com

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On 12nd of September 2017, Tom Lane committed patch:

Add psql variables to track success/failure of SQL queries.
 
 
This patch adds ERROR, SQLSTATE, and ROW_COUNT, which are updated after
every query, as well as LAST_ERROR_MESSAGE and LAST_ERROR_SQLSTATE,
which are updated only when a query fails.  The expected usage of these
is for scripting.
 
Fabien Coelho, reviewed by Pavel Stehule
 
Discussion: https://postgr.es/m/alpine.DEB.2.20..12290@lancre

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On 5th of September 2017, Tom Lane committed patch:

Add \gdesc psql command.
 
This command acts somewhat like \g, but instead of executing the query
buffer, it merely prints a description of the columns that the query
result would have.  (Of course, this still requires parsing the query;
if parse analysis fails, you get an error anyway.)  We accomplish this
using an unnamed prepared statement, which should be invisible to psql
users.
 
Pavel Stehule, reviewed by Fabien Coelho
 
Discussion: https://postgr.es/m/CAFj8pRBhYVvO34FU=EKb=nAF5t3b++krKt1FneCmR0kuF5m-QA@mail.gmail.com

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Long time ago I wrote about my project – Versioning.

Since then nothing really changed. But recently I found a case where I could use some more logic from versioning, so I changed it. In proceess, I also added somewhat better docs.

The change itself is that now, when you write patch using Versioning you can add some assertions about the user that will be loading the patch, like:

  • SELECT _v.assert_user_is_superuser();
  • SELECT _v.assert_user_is_not_superuser();
  • SELECT _v.assert_user_is_one_of( ‘depesz', ‘postgres', ‘dba' );

Not a big change, but helps me quite a bit.

This question appeared couple of times on irc, so I figured I can do a blogpost about it.

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I assume that you're familiar with explain.depesz.com and paste.depesz.com services.

From today they are also available as services in TOR, using respectively: explain4pg4j5wbw.onion and paste4sql64vzyry.onion (of course you need to have TOR Browser or some other way to browse darknet).

Why I did that? Well, I believe that TOR is one of the greatest inventions ever, and I'd like to do something so that it will be less associated with drugs, porn, or other illegal activities. Don't realistically think that there will be many people using TOR to access my Pg-related services, but it is a thing that I could have done, so I did it.

While working on it, I also updated pgFormatter code under paste-site to newest version.

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Another one missed, quite a long time ago, too..:

On 4th of November 2016, Kevin Grittner committed patch:

Implement syntax for transition tables in AFTER triggers.
 
 
This is infrastructure for the complete SQL standard feature.  No
support is included at this point for execution nodes or PLs.  The
intent is to add that soon.
 
As this patch leaves things, standard syntax can create tuplestores
to contain old and/or new versions of rows affected by a statement.
References to these tuplestores are in the TriggerData structure.
C triggers can access the tuplestores directly, so they are usable,
but they cannot yet be referenced within a SQL statement.

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Some (long) time ago, someone on irc suggested that I add option to keep track of optimizations of queries.

Sorry, I forgot your name, and the mails disappeared in some crash.

Anyway – right now, when you are on some plan page, you can press “Add optimization" button, and you will be redirected to index page, but when you will add plan there, it will be understood to be plan from optimization of the query. Like this one.

You can have any number of optimizations per plan, and when viewing plan that has optimizations, or is an optimization of earlier plan – you will see this above plan table.

Whether you'll use it – it's up to you. Someone wanted it, and it looked like sensible thing to add, so there it is 🙂

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I missed it completely, but on 24th of March 2017, Alvaro Herrera committed patch:

Implement multivariate n-distinct coefficients
 
 
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/.173334..horiguchi.kyotaro@lab.ntt.co.jp
though this commit does not use that code.)
 
Author: Tomas Vondra.  Some code rework by Álvaro.
 
    Ideriha Takeshi
Discussion: https://postgr.es/m/.4080608@fuzzy.cz
    https://postgr.es/m/.ixlaueanxegqd5gr@alvherre.pgsql

Afterwards, there were couple more commits related to it:

  • On 5th of April 2017, patch committed by Simon Riggs
  • On 17th of April 2017, patch committed by Alvaro Herrera
  • On 12nd of May 2017, patch committed by Alvaro Herrera

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On 7th of March 2017, Heikki Linnakangas committed patch:

Support SCRAM-SHA-256 authentication (RFC 5802 and 7677).
 
 
This introduces a new generic SASL authentication method, similar to the
GSS and SSPI methods. The server first tells the client which SASL
authentication mechanism to use, and then the mechanism-specific SASL
messages are exchanged in AuthenticationSASLcontinue and PasswordMessage
messages. Only SCRAM-SHA-256 is supported at the moment, but this allows
adding more SASL mechanisms in the future, without changing the overall
protocol.
 
Support for channel binding, aka SCRAM-SHA-256-PLUS is left for later.
 
The SASLPrep algorithm, for pre-processing the password, is not yet
implemented. That could cause trouble, if you use a password with
non-ASCII characters, and a client library that does implement SASLprep.
That will hopefully be added later.
 
Authorization identities, as specified in the SCRAM-SHA-256 specification,
are ignored. SET SESSION AUTHORIZATION provides more or less the same
functionality, anyway.
 
If a user doesn't exist, perform a "mock" authentication, by constructing
an authentic-looking challenge on the fly. The challenge is derived from
a new system-wide random value, "mock authentication nonce", which is
created at initdb, and stored in the control file. We go through these
motions, in order to not give away the information on whether the user
exists, to unauthenticated users.
 
Bumps PG_CONTROL_VERSION, because of the new field in control file.
 
Patch by Michael Paquier and Heikki Linnakangas, reviewed at different
stages by Robert Haas, Stephen Frost, David Steele, Aleksander Alekseev,
and many others.
 
Discussion: https://www.postgresql.org/message-id/CAB7nPqRbR3GmFYdedCAhzukfKrgBLTLtMvENOmPrVWREsZkF8g%40mail.gmail.com
Discussion: https://www.postgresql.org/message-id/CAB7nPqSMXU35g%3DW9X74HVeQp0uvgJxvYOuA4A-A3M%2B0wfEBv-w%40mail.gmail.com
Discussion: https://www.postgresql.org/message-id/.6080106@iki.fi

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