What is the benefit of upgrading PostgreSQL?

Couple of times, in various places, I was asked: what is the benefit from upgrading to some_version.

So far, I just read release docs, and compiled list of what has changed.

But this is not necessarily simple – consider upgrade from 9.3.2 to 10.2. That's a lot of changes.

So, to be able to answer these questions faster in future, I created a site: Why upgrade PostgreSQL?.

Usage should be simple – pick from which version you want to upgrade, to which version you want to upgrade, and press gives me… button.

Hope you'll find it useful.

Which schema is using the most disk space?

I was faced with interesting problem. Which schema, in my DB, uses the most disk space? Theoretically it's trivial, we have set of helpful functions:

  • pg_column_size
  • pg_database_size
  • pg_indexes_size
  • pg_relation_size
  • pg_table_size
  • pg_tablespace_size
  • pg_total_relation_size

But in some cases it becomes more of a problem. For example – when you have thousands of tables …

Continue reading Which schema is using the most disk space?

Waiting for PostgreSQL 11 – Support all SQL:2011 options for window frame clauses.

On 7th of February 2018, Tom Lane committed patch:

Support all SQL:2011 options for window frame clauses.
 
 
This patch adds the ability to use "RANGE offset PRECEDING/FOLLOWING"
frame boundaries in window functions.  We'd punted on that back in the
original patch to add window functions, because it was not clear how to
do it in a reasonably data-type-extensible fashion.  That problem is
resolved here by adding the ability for btree operator classes to provide
an "in_range" support function that defines how to add or subtract the
RANGE offset value.  Factoring it this way also allows the operator class
to avoid overflow problems near the ends of the datatype's range, if it
wishes to expend effort on that.  (In the committed patch, the integer
opclasses handle that issue, but it did not seem worth the trouble to
avoid overflow failures for datetime types.)
 
The patch includes in_range support for the integer_ops opfamily
(int2/int4/int8) as well as the standard datetime types.  Support for
other numeric types has been requested, but that seems like suitable
material for a follow-on patch.
 
In addition, the patch adds GROUPS mode which counts the offset in
ORDER-BY peer groups rather than rows, and it adds the frame_exclusion
options specified by SQL:2011.  As far as I can see, we are now fully
up to spec on window framing options.
 
Existing behaviors remain unchanged, except that I changed the errcode
for a couple of existing error reports to meet the SQL spec's expectation
that negative "offset" values should be reported as SQLSTATE 22013.
 
Internally and in relevant parts of the documentation, we now consistently
use the terminology "offset PRECEDING/FOLLOWING" rather than "value
PRECEDING/FOLLOWING", since the term "value" is confusingly vague.
 
Oliver Ford, reviewed and whacked around some by me
 
Discussion: https://postgr.es/m/CAGMVOdu9sivPAxbNN0X+q19Sfv9edEPv=HibOJhB14TJv_RCQg@mail.gmail.com

Continue reading Waiting for PostgreSQL 11 – Support all SQL:2011 options for window frame clauses.

Waiting for PostgreSQL 11 – Support parallel btree index builds.

Support parallel btree index builds.
 
 
To make this work, tuplesort.c and logtape.c must also support
parallelism, so this patch adds that infrastructure and then applies
it to the particular case of parallel btree index builds.  Testing
to date shows that this can often be 2-3x faster than a serial
index build.
 
The model for deciding how many workers to use is fairly primitive
at present, but it's better than not having the feature.  We can
refine it as we get more experience.
 
Peter Geoghegan with some help from Rushabh Lathia.  While Heikki
Linnakangas is not an author of this patch, he wrote other patches
without which this feature would not have been possible, and
therefore the release notes should possibly credit him as an author
of this feature.  Reviewed by Claudio Freire, Heikki Linnakangas,
Thomas Munro, Tels, Amit Kapila, me.
 
Discussion: http://postgr.es/m/CAM3SWZQKM=Pzc=CAHzRixKjp2eO5Q0Jg1SoFQqeXFQ647JiwqQ@mail.gmail.com
Discussion: http://postgr.es/m/CAH2-Wz=AxWqDoVvGU7dq856S4r6sJAj6DBn7VMtigkB33N5eyg@mail.gmail.com

Continue reading Waiting for PostgreSQL 11 – Support parallel btree index builds.

Fix for parallel scans on explain.depesz.com

On Friday, Zr40 reported on irc that explain.depesz.com doesn't show table/index names for Parallel Seq Scan nodes.

Checked it and found couple of other omissions of the same kind with other Parallel* scans.

Fixed (I hope) all of them in:

The change is not really big, but just figured I'll let you know.

Waiting for PostgreSQL 11 – Allow UPDATE to move rows between partitions.

On 19th of January 2018, Robert Haas committed patch:

Allow UPDATE to move rows between partitions.
 
 
When an UPDATE causes a row to no longer match the partition
constraint, try to move it to a different partition where it does
match the partition constraint.  In essence, the UPDATE is split into
a DELETE from the old partition and an INSERT into the new one.  This
can lead to surprising behavior in concurrency scenarios because
EvalPlanQual rechecks won't work as they normally did; the known
problems are documented.  (There is a pending patch to improve the
situation further, but it needs more review.)
 
Amit Khandekar, reviewed and tested by Amit Langote, David Rowley,
Rajkumar Raghuwanshi, Dilip Kumar, Amul Sul, Thomas Munro, Álvaro
Herrera, Amit Kapila, and me.  A few final revisions by me.
 
Discussion: http://postgr.es/m/CAJ3gD9do9o2ccQ7j7+tSgiE1REY65XRiMb=yJO3u3QhyP8EEPQ@mail.gmail.com

Continue reading Waiting for PostgreSQL 11 – Allow UPDATE to move rows between partitions.

Waiting for PostgreSQL 11 – Add hash partitioning.

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

Continue reading Waiting for PostgreSQL 11 – Add hash partitioning.

Waiting for PostgreSQL 11 – Add psql variables to track success/failure of SQL queries.

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

Continue reading Waiting for PostgreSQL 11 – Add psql variables to track success/failure of SQL queries.

Waiting for PostgreSQL 11 – Add \gdesc psql command.

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

Continue reading Waiting for PostgreSQL 11 – Add \gdesc psql command.