On 20th of December 2020, Alexander Korotkov committed patch:
Multiranges are basically sorted arrays of non-overlapping ranges with
set-theoretic operations defined over them.
Since v14, each range type automatically gets a corresponding multirange
datatype. There are both manual and automatic mechanisms for naming multirange
types. Once can specify multirange type name using multirange_type_name
attribute in CREATE TYPE. Otherwise, a multirange type name is generated
automatically. If the range type name contains "range" then we change that to
"multirange". Otherwise, we add "_multirange" to the end.
Implementation of multiranges comes with a space-efficient internal
representation format, which evades extra paddings and duplicated storage of
oids. Altogether this format allows fetching a particular range by its index
Statistic gathering and selectivity estimation are implemented for multiranges.
For this purpose, stored multirange is approximated as union range without gaps.
This field will likely need improvements in the future.
Catversion is bumped.
Author: Paul Jungwirth, revised by me
Reviewed-by: David Fetter, Corey Huinker, Jeff Davis, Pavel Stehule
Reviewed-by: Alvaro Herrera, Tom Lane, Isaac Morland, David G. Johnston
Reviewed-by: Zhihong Yu, Alexander Korotkov
Continue reading Waiting for PostgreSQL 14 – Multirange datatypes
Yesterday someone on irc asked:
i've a query that returns sequential numbers with gaps (generate_series + join) and my question is: can is somehow construct ranges out of the returned values? sort of range_agg or something?
There was no further discussion, aside from me saying
sure you can. not trivial task, but possible.
you'd need window functions.
but it got me thinking …
Continue reading Converting list of integers into list of ranges
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
Continue reading Waiting for PostgreSQL 11 – Support all SQL:2011 options for window frame clauses.
On 3rd of November, Heikki Linnakangas committed patch:
Support range data types.
Selectivity estimation functions are missing for some range type operators,
which is a TODO.
Continue reading Waiting for 9.2 – Range data types
Today some guy on IRC asked question, which I didn't fully understand, but which could (probably) be summarized: how to group data into 5 minute intervals, based on some timestamp column.
Well, it seems trivial (as long as you know how to do it), but since he clearly didn't know how to do it (or I misunderstood his problem), here's the explanation:
Continue reading Grouping data into time ranges