Tom Lane 8b7ae5a82d Stabilize the results of pg_notification_queue_usage().
This function wasn't touched in commit 51004c717, but that turns out
to be a bad idea, because its results now include any dead space
that exists in the NOTIFY queue on account of our being lazy about
advancing the queue tail.  Notably, the isolation tests now fail
if run twice without a server restart between, because async-notify's
first test of the function will already show a positive value.
It seems likely that end users would be equally unhappy about the
result's instability.  To fix, just make the function call
asyncQueueAdvanceTail before computing its result.  That should end
in producing the same value as before, and it's hard to believe that
there's any practical use-case where pg_notification_queue_usage()
is called so often as to create a performance degradation, especially
compared to what we did before.

Out of paranoia, also mark this function parallel-restricted (it
was volatile, but parallel-safe by default, before).  Although the
code seems to work fine when run in a parallel worker, that's outside
the design scope of async.c, and it's a bit scary to have intentional
side-effects happening in a parallel worker.  There seems no plausible
use-case where it'd be important to try to parallelize this, so let's
not take any risk of introducing new bugs.

In passing, re-pgindent async.c and run reformat-dat-files on
pg_proc.dat, just because I'm a neatnik.

Discussion: https://postgr.es/m/13881.1574557302@sss.pgh.pa.us
2019-11-24 14:09:33 -05:00
2019-11-12 08:13:55 +01:00
2019-01-02 12:44:25 -05:00

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
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PostgreSQL has many language interfaces, many of which are listed here:

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he World's Most Advanced Open Source Relational Database.
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