Django Q Documentation
Release 0.3.6. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.4 Cluster . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . • Result hooks • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis • Python 2 and 3 Django Q is tested with: Python 2.7 & 3.4. Django 1.7.9 & 1.8 Release 0.3.6 1.1.1 Configuration Configuration is handled via the Q_CLUSTER dictionary in your settings.py # settings.py example Q_CLUSTER = { 'name': 'myproject', 'workers': 8, 'recycle': 500, 'timeout':0 码力 | 30 页 | 235.40 KB | 1 年前3
Django Q Documentation
Release 0.3.6success database Result hooks Django Admin integration PaaS compatible with multiple instances Multi cluster monitor Redis Python 2 and 3 Django Q is tested with: Python 2.7 & 3.4. Django 1.7.9 & 1.8.3 Contents: Synchronous testing Connection pooling Reference Schedules Schedule Management Commands Reference Cluster Multiple Clusters Using a Procfile Process managers Architecture Reference Monitor Legend Status running somewhere Configuration Configuration is handled via the Q_CLUSTER dictionary in your settings.py # settings.py example Q_CLUSTER = { 'name': 'myproject', 'workers': 8, 'recycle': 500,0 码力 | 35 页 | 198.62 KB | 1 年前3
Django Q Documentation
Release 0.4.6. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.4 Cluster . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . hooks and groups • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis broker • Python 2 and 3 Django Q is tested with: Python 2.7 & 3.4. Django 1.7 Release 0.4.6 1.1.1 Configuration Configuration is handled via the Q_CLUSTER dictionary in your settings.py # settings.py example Q_CLUSTER = { 'name': 'myproject', 'workers': 8, 'recycle': 500, 'timeout':0 码力 | 36 页 | 249.57 KB | 1 年前3
Django Q Documentation
Release 0.5.3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.5 Cluster . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . hooks and groups • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis broker • Python 2 and 3 Django Q is tested with: Python 2.7 & 3.4. Django 1.7 utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil • Hiredis parser. This C library maintained by the core Redis team is faster0 码力 | 38 页 | 358.27 KB | 1 年前3
Django Q Documentation
Release 0.5.3database Result hooks and groups Django Admin integration PaaS compatible with multiple instances Multi cluster monitor Redis broker Python 2 and 3 Django Q is tested with: Python 2.7 & 3.4. Django 1.7.10 & 1 Connection pooling Reference Schedules Schedule Missed schedules Management Commands Reference Cluster Multiple Clusters Using a Procfile Process managers Architecture Reference Monitor Legend Info utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil Hiredis [https://github.com/redis/hiredis] parser. This C library maintained0 码力 | 46 页 | 474.97 KB | 1 年前3
Django Q Documentation
Release 0.4.6database Result hooks and groups Django Admin integration PaaS compatible with multiple instances Multi cluster monitor Redis broker Python 2 and 3 Django Q is tested with: Python 2.7 & 3.4. Django 1.7.9 & 1 Synchronous testing Connection pooling Reference Schedules Schedule Management Commands Reference Cluster Multiple Clusters Using a Procfile Process managers Architecture Reference Monitor Legend Status connect to it. Configuration Configuration is handled via the Q_CLUSTER dictionary in your settings.py # settings.py example Q_CLUSTER = { 'name': 'myproject', 'workers': 8, 'recycle': 500,0 码力 | 42 页 | 203.66 KB | 1 年前3
Django Q Documentation
Release 0.6.4. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 1.6 Cluster . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . hooks and groups • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ or SQS • Python 2 and 3 Django Q is tested with: Python 2.7 & utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil • Hiredis parser. This C library maintained by the core Redis team is faster0 码力 | 42 页 | 376.79 KB | 1 年前3
Django Q Documentation
Release 0.6.4database Result hooks and groups Django Admin integration PaaS compatible with multiple instances Multi cluster monitor Redis, Disque, IronMQ or SQS Python 2 and 3 Django Q is tested with: Python 2.7 & 3.4. Django Connection pooling Reference Schedules Schedule Missed schedules Management Commands Reference Cluster Multiple Clusters Using a Procfile Process managers Architecture Reference Monitor Legend Info utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil Hiredis [https://github.com/redis/hiredis] parser. This C library maintained0 码力 | 53 页 | 512.86 KB | 1 年前3
Django Q Documentation
Release 0.7.9. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 1.6 Cluster . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . hooks and groups • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ, SQS, MongoDB or ORM • Python 2 and 3 Django Q is tested with: utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil • Hiredis parser. This C library maintained by the core Redis team is faster0 码力 | 50 页 | 397.77 KB | 1 年前3
Django Q Documentation
Release 0.7.9cache Result hooks and groups Django Admin integration PaaS compatible with multiple instances Multi cluster monitor Redis, Disque, IronMQ, SQS, MongoDB or ORM Python 2 and 3 Django Q is tested with: Python Connection pooling Reference Schedules Schedule Missed schedules Management Commands Reference Cluster Multiple Clusters Using a Procfile Process managers Architecture Reference Monitor Legend Info utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil Hiredis [https://github.com/redis/hiredis] parser. This C library maintained0 码力 | 62 页 | 514.67 KB | 1 年前3
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