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- use awx-python in shebang in dev env
- scl enable where needed for rhel7 & container installs
- use scram-sha-256 pg user hashing by default
- ensure psycopg2 is using the correct PG_CONFIG at build time for the right libpq version
Installing the latest python36-setuptools automatically creates the symlink from python3 -> python3.6 and from python36 -> /usr/bin/python3.6. Building the images fails when the symlink is created explicitly in the AWX installer.
Signed-off-by: Uriel Mandujano <uriel.mandujano14@gmail.com>
Daphne has a default timeout of 86400 seconds, so after 1 day of starting
awx_web container, the stdout stops refreshing automatically on the web UI.
This fixes this issue by making the timeout infinite, so the connection
between nginx and daphne's websocket never closes.
run this command on _any_ node in an awx cluster:
$ awx-manage profile_sql --threshold=2.0 --minutes=1
...and for 1 minute, the timing for _every_ SQL query in _every_ awx
Python process that uses the Django ORM will be measured
queries that run longer than (in this example) 2 seconds will be
written to a per-process sqlite database in /var/lib/awx/profile, and
the file will contain an EXPLAIN VERBOSE for the query and the full
Python stack that led to that SQL query's execution (this includes not
just WSGI requests, but background processes like the runworker and
dispatcher)
$ awx-manage profile_sql --threshold=0
...can be used to disable profiling again (if you don't want to wait for
the minute to expire)
this commit implements the bulk of `awx-manage run_dispatcher`, a new
command that binds to RabbitMQ via kombu and balances messages across
a pool of workers that are similar to celeryd workers in spirit.
Specifically, this includes:
- a new decorator, `awx.main.dispatch.task`, which can be used to
decorate functions or classes so that they can be designated as
"Tasks"
- support for fanout/broadcast tasks (at this point in time, only
`conf.Setting` memcached flushes use this functionality)
- support for job reaping
- support for success/failure hooks for job runs (i.e.,
`handle_work_success` and `handle_work_error`)
- support for auto scaling worker pool that scale processes up and down
on demand
- minimal support for RPC, such as status checks and pool recycle/reload
