如何找到二进制内存使用量增长的原因(取决于连接数)
我用了rabbitmqctl eval'[garbage_collect(P)|| P < - processes()]。'但是在统计数据上
root@Broker1:~# /usr/sbin/rabbitmqctl status | grep binary
{binary,6709401976},
root@Broker1:~# free -m
total used free shared buffers cached
Mem: 16084 4147 11937 22 161 1550
-/+ buffers/cache: 2435 13649
Swap: 4183 0 4183
root@Broker2:~# /usr/sbin/rabbitmqctl status
Status of node rabbit@Broker2 ...
[{pid,515},
{running_applications,
[{rabbitmq_web_mqtt,"RabbitMQ MQTT-over-WebSockets adapter","3.6.9"},
{rabbitmq_mqtt,"RabbitMQ MQTT Adapter","3.6.9"},
{rabbitmq_web_stomp,"Rabbit WEB-STOMP - WebSockets to Stomp adapter",
"3.6.9"},
{rabbitmq_stomp,"RabbitMQ STOMP plugin","3.6.9"},
{rabbitmq_management,"RabbitMQ Management Console","3.6.9"},
{rabbitmq_web_dispatch,"RabbitMQ Web Dispatcher","3.6.9"},
{rabbitmq_management_agent,"RabbitMQ Management Agent","3.6.9"},
{rabbit,"RabbitMQ","3.6.9"},
{os_mon,"CPO CXC 138 46","2.3"},
{cowboy,"Small, fast, modular HTTP server.","1.0.4"},
{ranch,"Socket acceptor pool for TCP protocols.","1.3.0"},
{ssl,"Erlang/OTP SSL application","5.3.6"},
{public_key,"Public key infrastructure","0.22.1"},
{cowlib,"Support library for manipulating Web protocols.","1.0.2"},
{crypto,"CRYPTO","3.4.1"},
{amqp_client,"RabbitMQ AMQP Client","3.6.9"},
{rabbit_common,
"Modules shared by rabbitmq-server and rabbitmq-erlang-client",
"3.6.9"},
{inets,"INETS CXC 138 49","5.10.3"},
{mnesia,"MNESIA CXC 138 12","4.12.3"},
{compiler,"ERTS CXC 138 10","5.0.2"},
{sockjs,"SockJS","0.3.4"},
{xmerl,"XML parser","1.3.7"},
{syntax_tools,"Syntax tools","1.6.16"},
{asn1,"The Erlang ASN1 compiler version 3.0.2","3.0.2"},
{sasl,"SASL CXC 138 11","2.4.1"},
{stdlib,"ERTS CXC 138 10","2.2"},
{kernel,"ERTS CXC 138 10","3.0.3"}]},
{os,{unix,linux}},
{erlang_version,
"Erlang/OTP 17 [erts-6.2] [source] [64-bit] [smp:10:10] [async-threads:160] [kernel-poll:true]\n"},
{memory,
[{total,3874499056},
{connection_readers,598416},
{connection_writers,139368},
{connection_channels,774752},
{connection_other,176069624},
{queue_procs,36524016},
{queue_slave_procs,0},
{plugins,80184008},
{other_proc,0},
{mnesia,48042392},
{metrics,7245632},
{mgmt_db,74517952},
{msg_index,1751384},
{other_ets,14801208},
{binary,3379246384},
{code,28040419},
{atom,1000601},
{other_system,33438764}]},
{alarms,[]},
{listeners,
[{clustering,2000,"::"},
{amqp,5672,"::"},
{http,15672,"::"},
{stomp,61613,"::"},
{'http/web-stomp',15674,"::"},
{mqtt,1883,"::"},
{'http/web-mqtt',15675,"::"}]},
{vm_memory_high_watermark,{absolute,"12288MiB"}},
{vm_memory_limit,12884901888},
{disk_free_limit,50000000},
{disk_free,91027542016},
{file_descriptors,
[{total_limit,65435},
{total_used,9214},
{sockets_limit,58889},
{sockets_used,9002}]},
{processes,[{limit,1048576},{used,42726}]},
{run_queue,0},
{uptime,82689},
{kernel,{net_ticktime,60}}
]
total used free shared buffers cached
Mem: 16084 4517 11567 27 160 2487
-/+ buffers/cache: 1869 14215
Swap: 4189 0 4189
我的记忆是免费的!但内存增长后连接到服务器很慢!!
集群:rabbit @ Broker1(更改)
RabbitMQ 3.6.9,Erlang 17.3
rabbitmq.config
[
{log_levels, [{connection, none},{channel,none}]},
{file_descriptors, [{total_limit, 65000}]},
{kernel, [
{log_levels, [{connection, none},{channel,none}]},
{inet_dist_listen_min, 2000},
{inet_dist_listen_max, 65000}
]},
{rabbit, [
{loopback_users, []},
{vm_memory_high_watermark, {absolute, "12288MiB"}},
{vm_memory_high_watermark_paging_ratio, 0.60},
{tcp_listeners, [5672]},
{log_levels, [{connection, none},{channel,none}]},
{heartbeat, 10000}
]},
{rabbitmq_mqtt, [
{log_levels, [{connection, none},{channel,none}]},
{default_user, <<"guest">>},
{default_pass, <<"guest">>},
{allow_anonymous, false},
{vhost, <<"test">>},
{exchange, <<"amq.topic">>},
{subscription_ttl, 180000},
{prefetch, 10},
{tcp_listeners, [1883]},
{tcp_listen_options, [
binary,
{packet, raw},
{reuseaddr, false},
{backlog, 8192},
{nodelay, true}
]}
]},
{rabbitmq_stomp, [
{default_vhost, <<"test">>},
{exchange, <<"amq.topic">>},
{tcp_listen_options, [
{backlog, 128},
{nodelay, true}
]}
]}
].
我相信你的实施是不正确的。我正在使用RabbitMQ在现场网站上进行实时通知,它没有任何问题。我有一个高达3500的并发客户端,但8GB RAM实例运行良好。
那你必须做什么?
您尚未指定用例。但是根据rabbitmq文档,只有当你有大量未传递的消息时,内存才会增长。许多未传递的消息可能会导致磁盘空间/ RAM空间,具体取决于客户端与您的连接方式。
如果每个用户有一个代理,那就非常昂贵。相反,如果您的用户将在多个端点(例如,电话和网络同时)接收相同的消息,则每个用户进行一次交换。在这种情况下,使用扇出交换并让用户订阅它。当交换中的消息达到零时,始终启用自动删除标志。使用非持久性交换;但要减少你的经纪人。
如果您确定一个用户只能连接一个设备而不是多个设备,则不需要进行扇出交换,而是为每个用户构建一个队列。仍然,启用自动删除标志。
保持较少数量的经纪人和处理交换或队列请求是有效的。
如果适合您的用例,可以使用的另一个选项是消息到期。假设您正在使用RabbitMQ向您的用户发送通知。但是,您可以将它们写入数据库并发出通知,您可以通过RMQ发送。如果用户不在线,可能大约10分钟或更长时间,到期是一个不错的选择。因为它是实时消息传递,而不是持久消息传递。他打算从数据库中读取它
注意:如果您解释用例,我可以帮助您。
阅读本文以了解更多:https://www.rabbitmq.com/blog/2014/10/30/understanding-memory-use-with-rabbitmq-3-4/
如上所述,
所有二进制使用都是由队列中的消息引起的。
最好的方法是使用非持久性队列和自动过期消息!
请注意,“内存中”和“持久”消息不是反义词:非持久性消息可以在内存压力下进行分页,持久性消息也可以在内存中。
这解释了你的问题!