【发布时间】:2015-01-08 00:05:25
【问题描述】:
我在尝试让我的系统在新机器上运行时遇到了奇怪的问题。
操作系统:
Ubuntu 14.04.1 LTS(GNU/Linux 3.13.0-39-generic x86_64)
包:
芹菜==3.1.13
django-celery==3.0.23
librabbitmq==1.5.2
经纪人:
RabbitMQ“3.2.4”
重启后Celery进程卡住:
[2014-11-10 18:32:55,792: INFO/MainProcess] Connected to amqp://user:**@172.16.10.6:5672/vhost
[2014-11-10 18:32:55,804: INFO/MainProcess] mingle: searching for neighbors
试图在其他地方找到解决方案。 Here 我找到了增加 RabbitMQ 可用磁盘空间的建议。我检查了docs 并在 rabbitmq.config 文件中进行了更改:
{disk_free_limit, {mem_relative, 1.0}}
现在 RabbitMQ 应该有 6GB 可用空间,但它不会将 Celery 推入就绪状态。我还尝试在
中配置(正如有人建议的那样)打开文件描述符的限制/etc/default/rabbitmq-server
没有任何影响。当前 RabbitMQ 状态:
[{pid,4131},
{running_applications,
[{rabbitmq_management,"RabbitMQ Management Console","3.2.4"},
{rabbitmq_web_dispatch,"RabbitMQ Web Dispatcher","3.2.4"},
{webmachine,"webmachine","1.10.3-rmq3.2.4-gite9359c7"},
{mochiweb,"MochiMedia Web Server","2.7.0-rmq3.2.4-git680dba8"},
{rabbitmq_management_agent,"RabbitMQ Management Agent","3.2.4"},
{rabbit,"RabbitMQ","3.2.4"},
{os_mon,"CPO CXC 138 46","2.2.14"},
{inets,"INETS CXC 138 49","5.9.7"},
{mnesia,"MNESIA CXC 138 12","4.11"},
{amqp_client,"RabbitMQ AMQP Client","3.2.4"},
{xmerl,"XML parser","1.3.5"},
{sasl,"SASL CXC 138 11","2.3.4"},
{stdlib,"ERTS CXC 138 10","1.19.4"},
{kernel,"ERTS CXC 138 10","2.16.4"}]},
{os,{unix,linux}},
{erlang_version,
"Erlang R16B03 (erts-5.10.4) [source] [64-bit] [smp:4:4] [async-threads:30] [kernel-poll:true]\n"},
{memory,
[{total,46342000},
{connection_procs,290304},
{queue_procs,62864},
{plugins,458136},
{other_proc,13673776},
{mnesia,76376},
{mgmt_db,127808},
{msg_index,34384},
{other_ets,1100432},
{binary,5282744},
{code,19974306},
{atom,703377},
{other_system,4557493}]},
{vm_memory_high_watermark,0.4},
{vm_memory_limit,2503614464},
{disk_free_limit,6259036160},
{disk_free,2779140096},
{file_descriptors,
[{total_limit,924},{total_used,13},{sockets_limit,829},{sockets_used,9}]},
{processes,[{limit,1048576},{used,270}]},
{run_queue,0},
{uptime,4561}]
另一件事:当我使用 Supervisor 停止 Celery 进程时,没有记录任何热关机(实际上 - 没有记录任何内容)。
你能帮忙吗?
【问题讨论】:
标签: rabbitmq celery django-celery