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Michael Paquier 7949d95945 Introduce pluggable APIs for Cumulative Statistics
This commit adds support in the backend for $subject, allowing
out-of-core extensions to plug their own custom kinds of cumulative
statistics.  This feature has come up a few times into the lists, and
the first, original, suggestion came from Andres Freund, about
pg_stat_statements to use the cumulative statistics APIs in shared
memory rather than its own less efficient internals.  The advantage of
this implementation is that this can be extended to any kind of
statistics.

The stats kinds are divided into two parts:
- The in-core "builtin" stats kinds, with designated initializers, able
to use IDs up to 128.
- The "custom" stats kinds, able to use a range of IDs from 128 to 256
(128 slots available as of this patch), with information saved in
TopMemoryContext.  This can be made larger, if necessary.

There are two types of cumulative statistics in the backend:
- For fixed-numbered objects (like WAL, archiver, etc.).  These are
attached to the snapshot and pgstats shmem control structures for
efficiency, and built-in stats kinds still do that to avoid any
redirection penalty.  The data of custom kinds is stored in a first
array in snapshot structure and a second array in the shmem control
structure, both indexed by their ID, acting as an equivalent of the
builtin stats.
- For variable-numbered objects (like tables, functions, etc.).  These
are stored in a dshash using the stats kind ID in the hash lookup key.

Internally, the handling of the builtin stats is unchanged, and both
fixed and variabled-numbered objects are supported.  Structure
definitions for builtin stats kinds are renamed to reflect better the
differences with custom kinds.

Like custom RMGRs, custom cumulative statistics can only be loaded with
shared_preload_libraries at startup, and must allocate a unique ID
shared across all the PostgreSQL extension ecosystem with the following
wiki page to avoid conflicts:
https://wiki.postgresql.org/wiki/CustomCumulativeStats

This makes the detection of the stats kinds and their handling when
reading and writing stats much easier than, say, allocating IDs for
stats kinds from a shared memory counter, that may change the ID used by
a stats kind across restarts.  When under development, extensions can
use PGSTAT_KIND_EXPERIMENTAL.

Two examples that can be used as templates for fixed-numbered and
variable-numbered stats kinds will be added in some follow-up commits,
with tests to provide coverage.

Some documentation is added to explain how to use this plugin facility.

Author: Michael Paquier
Reviewed-by: Dmitry Dolgov, Bertrand Drouvot
Discussion: https://postgr.es/m/Zmqm9j5EO0I4W8dx@paquier.xyz
2024-08-04 19:41:24 +09:00
.github Add CODE_OF_CONDUCT.md, CONTRIBUTING.md, and SECURITY.md. 2024-07-02 13:03:58 -05:00
config jit: Remove {llvm-config,clang}-N configure probes. 2024-05-16 13:58:25 +12:00
contrib Include bison header files into implementation files 2024-08-02 10:25:11 +02:00
doc Introduce pluggable APIs for Cumulative Statistics 2024-08-04 19:41:24 +09:00
src Introduce pluggable APIs for Cumulative Statistics 2024-08-04 19:41:24 +09:00
.cirrus.star Remove duplicate words in docs and code comments. 2023-10-09 09:18:47 +05:30
.cirrus.tasks.yml Convert node test compile-time settings into run-time parameters 2024-08-01 10:09:18 +02:00
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PostgreSQL Database Management System

This directory contains the source code distribution of the PostgreSQL database management system.

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions. This distribution also contains C language bindings.

Copyright and license information can be found in the file COPYRIGHT.

General documentation about this version of PostgreSQL can be found at https://www.postgresql.org/docs/devel/. In particular, information about building PostgreSQL from the source code can be found at https://www.postgresql.org/docs/devel/installation.html.

The latest version of this software, and related software, may be obtained at https://www.postgresql.org/download/. For more information look at our web site located at https://www.postgresql.org/.