gunicorn

Gunicorn fails when using WSGI

落爺英雄遲暮 提交于 2019-12-11 19:09:27
问题 I want Gunicorn to talk with TileStache via WSGI. But when I run this command... gunicorn "TileStache:WSGITileServer('/var/osm/bright/project/OSMBright4/tilestache.cfg')" ...I get these errors: 2013-03-30 23:02:41 [14300] [INFO] Starting gunicorn 0.17.2 2013-03-30 23:02:41 [14300] [INFO] Listening at: http://127.0.0.1:8000 (14300) 2013-03-30 23:02:41 [14300] [INFO] Using worker: sync 2013-03-30 23:02:41 [14305] [INFO] Booting worker with pid: 14305 Error loading Tilestache config: 2013-03-30

ImportError: Shell script to start Gunicorn fails to find module

浪子不回头ぞ 提交于 2019-12-11 13:16:45
问题 Given the following folder structure for an "productsapi" application based on Django REST framework and virtualenv. /webapps/ └── projects ├── bin │ ├── activate │ ├── activate.csh │ ├── activate.fish │ ├── activate_this.py │ ├── django-admin │ ├── django-admin.py │ ├── easy_install │ ├── easy_install-2.7 │ ├── gunicorn │ ├── gunicorn_django │ ├── gunicorn_paster │ ├── gunicorn_start.sh │ ├── pip │ ├── pip2 │ ├── pip2.7 │ ├── python ├── include ├── lib ├── local ├── logs ├── run ├── static └

Gunicorn Supervisor Startup Error

我怕爱的太早我们不能终老 提交于 2019-12-11 11:02:15
问题 I've followed this tutorial twice, but on the second machine that I've run it on I get a supervisor-run gunicorn error. When I tell supervisor to startup gunicorn using: $ sudo supervisorctl start gunicorn gunicorn: ERROR (abnormal termination) The gunicorn_err.log repeats this: Unknown command: 'run_gunicorn' Type 'manage.py help' for usage. The supervisor config looks like: [program:gunicorn] command=/home/ubuntu/.virtualenvs/<VIRTUALENV>/bin/python /home/ubuntu/<APPNAME>/manage.py run

Requests not being distributed across gunicorn workers

﹥>﹥吖頭↗ 提交于 2019-12-11 10:03:18
问题 I'm trying to write an app using tornado with gunicorn handling the worker threads. I've created the code shown below, but despite starting multiple workers it isn't sharing the requests. One worker seems to process all of the requests all of the time (not intermittent). Code: from tornado.web import RequestHandler, asynchronous, Application from tornado.ioloop import IOLoop import time from datetime import timedelta import os class MainHandler(RequestHandler): def get(self): print "GET start

Nginx 502 Bad Gateway - Django - Gunicorn - When running MySQL reports (Stored Procedures) that take longer than 30 seconds

牧云@^-^@ 提交于 2019-12-11 07:57:58
问题 I have a Django, Nginx, Gunicorn, and MySQL on AWS. Running a postback from django which calls a stored procedure that takes longer than 30 seconds to complete causes a return of "502 Bad Gateway" nginx/1.4.6 (Ubuntu). It sure looks like a timeout issue and that this post should resolve it. But alas, it doesn't seem to be working. Here is my gunicorn.conf file: description "Gunicorn application server handling formManagement django app" start on runlevel [2345] stop on runlevel [!2345]

What happens to a Django website when you restart Gunicorn?

若如初见. 提交于 2019-12-11 06:46:58
问题 In the near future, I'll be deploying a Django/Gunicorn/Nginx website to paying customers. This is my first public website. There will be times when I'll need to bring the site down temporarily for maintenance. I've learned how to configure Nginx to serve up a "503 Site Temporarily Unavailable" page while I'm doing my maintenance and I'm set to inform my customers in advance via an email. However, if I have a critical problem and need to change a setting or view or something and I need to

Gunicorn worker creating zombie processes

余生长醉 提交于 2019-12-11 06:28:00
问题 Not really an issue, but I do want to understand what is going on. And also why do these zombie process get created. Also would like to see if there is a good practice for this kind of thing. For now I do kill -HUP on the master gunicorn process, and it gets rid of the zombie processes. (I'm going to automatically kill -HUP every morning for log rotations) I'm wondering is there a way to figure out why these workers are spinning a zombie process? Here is the ps auxef output. USER PID %CPU

airflow: error: unrecognized arguments: webserver

浪尽此生 提交于 2019-12-11 05:49:59
问题 I am trying to start my airflow webserver, but it says it is an unrecognised argument $ airflow webserver [2017-05-25 15:06:44,682] {__init__.py:36} INFO - Using executor CeleryExecutor ____________ _____________ ____ |__( )_________ __/__ /________ __ ____ /| |_ /__ ___/_ /_ __ /_ __ \_ | /| / / ___ ___ | / _ / _ __/ _ / / /_/ /_ |/ |/ / _/_/ |_/_/ /_/ /_/ /_/ \____/____/|__/ [2017-05-25 15:06:45,099] {models.py:154} INFO - Filling up the DagBag from /home/ec2-user/airflow/dags usage:

Django on Production for POST request throws Server Error(500) on compute engine

半城伤御伤魂 提交于 2019-12-11 05:14:22
问题 I have deployed my Django 1.10 with python 3.6 Project on Google compute engine when I have changed Debug = True in my settings.py to Debug = False it throws Server Error (500) on one of my post requests.Even other post requests like signup are working fine. When I stop gunicorn process and re-run it again then this POST works for few hours and again start throwing Server Error(500). How can I solve this issue as I'm using Django 1.10.5, Python 3.6 on Compute Engine? Help me, please! Thanks

Airflow's Gunicorn is spamming error logs

邮差的信 提交于 2019-12-11 05:03:32
问题 I'm using Apache Airflow and recognized that the size of the gunicorn-error.log grown over 50 GB within 5 months. Most of the log messages are INFO level logs like: [2018-05-14 17:31:39 +0000] [29595] [INFO] Handling signal: ttou [2018-05-14 17:32:37 +0000] [2359] [INFO] Worker exiting (pid: 2359) [2018-05-14 17:33:07 +0000] [29595] [INFO] Handling signal: ttin [2018-05-14 17:33:07 +0000] [5758] [INFO] Booting worker with pid: 5758 [2018-05-14 17:33:10 +0000] [29595] [INFO] Handling signal: