小编给大家分享一下RabbitMQ如何实现服务检查,希望大家阅读完这篇文章之后都有所收获,下面让我们一起去探讨吧!
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登录到各个RabbitMQ节点上,执行
rabbitmqctl status 正常状态如下: # Status of node rabbit@devxyz ... # [{pid,13505}, # {running_applications, # [{rabbitmq_management,"RabbitMQ Management Console","3.6.5"}, # {rabbitmq_management_agent,"RabbitMQ Management Agent","3.6.5"}, # {rabbit,"RabbitMQ","3.6.5"}, # {os_mon,"CPO CXC 138 46","2.4"}, # {rabbitmq_web_dispatch,"RabbitMQ Web Dispatcher","3.6.5"}, # {webmachine,"webmachine","1.10.3"}, # {mochiweb,"MochiMedia Web Server","2.13.1"}, # {amqp_client,"RabbitMQ AMQP Client","3.6.5"}, # {rabbit_common,[],"3.6.5"}, # {mnesia,"MNESIA CXC 138 12","4.13.4"}, # {compiler,"ERTS CXC 138 10","6.0.3"}, # {ssl,"Erlang/OTP SSL application","7.3.3.1"}, # {ranch,"Socket acceptor pool for TCP protocols.","1.2.1"}, # {public_key,"Public key infrastructure","1.1.1"}, # {xmerl,"XML parser","1.3.10"}, # {inets,"INETS CXC 138 49","6.2.4"}, # {asn1,"The Erlang ASN1 compiler version 4.0.2","4.0.2"}, # {crypto,"CRYPTO","3.6.3"}, # {syntax_tools,"Syntax tools","1.7"}, # {sasl,"SASL CXC 138 11","2.7"}, # {stdlib,"ERTS CXC 138 10","2.8"}, # {kernel,"ERTS CXC 138 10","4.2"}]}, # {os,{unix,linux}}, # {erlang_version, # "Erlang/OTP 18 [erts-7.3.1.2] [source] [64-bit] [smp:8:8] [async-threads:128] [hipe] [kernel-poll:true]\n"}, # {memory, # [{total,119288000}, # {connection_readers,491304}, # {connection_writers,33944}, # {connection_channels,115312}, # {connection_other,563312}, # {queue_procs,510368}, # {queue_slave_procs,0}, # {plugins,1254560}, # {other_proc,18328184}, # {mnesia,160320}, # {mgmt_db,2527968}, # {msg_index,66840}, # {other_ets,1641160}, # {binary,55247472}, # {code,27655723}, # {atom,992409}, # {other_system,9699124}]}, # {alarms,[]}, # {listeners,[{clustering,25672,"::"},{amqp,5672,"::"}]}, # {vm_memory_high_watermark,0.4}, # {vm_memory_limit,6663295795}, # {disk_free_limit,50000000}, # {disk_free,53003800576}, # {file_descriptors, # [{total_limit,1948}, # {total_used,23}, # {sockets_limit,1751}, # {sockets_used,21}]}, # {processes,[{limit,1048576},{used,498}]}, # {run_queue,0}, # {uptime,47953}, # {kernel,{net_ticktime,60}}] 得到rabbitmq服务的状态,得到的结果中显示服务正在running,且不存在nodedown、error等字样,并且 running_applications中包含了rabbitmq_management等应用名(如果开启了rabbitmq_management等插件) 1.1、如果running状态,但是没有rabbitmq_management字样,类似如下结果: # Status of node rabbit@devxyz ... # [{pid,13505}, # {running_applications,[{compiler,"ERTS CXC 138 10","6.0.3"}, # {ssl,"Erlang/OTP SSL application","7.3.3.1"}, # {ranch,"Socket acceptor pool for TCP protocols.", # "1.2.1"}, # {public_key,"Public key infrastructure","1.1.1"}, # {xmerl,"XML parser","1.3.10"}, # {inets,"INETS CXC 138 49","6.2.4"}, # {asn1,"The Erlang ASN1 compiler version 4.0.2", # "4.0.2"}, # {crypto,"CRYPTO","3.6.3"}, # {syntax_tools,"Syntax tools","1.7"}, # {sasl,"SASL CXC 138 11","2.7"}, # {stdlib,"ERTS CXC 138 10","2.8"}, # {kernel,"ERTS CXC 138 10","4.2"}]}, # {os,{unix,linux}}, # {erlang_version,"Erlang/OTP 18 [erts-7.3.1.2] [source] [64-bit] [smp:8:8] [async-threads:128] [hipe] [kernel-poll:true]\n"}, # {memory,[{total,58267544}, # {connection_readers,0}, # {connection_writers,0}, # {connection_channels,0}, # {connection_other,0}, # {queue_procs,0}, # {queue_slave_procs,0}, # {plugins,0}, # {other_proc,18771312}, # {mnesia,0}, # {mgmt_db,0}, # {msg_index,0}, # {other_ets,1218464}, # {binary,29984}, # {code,27655723}, # {atom,992409}, # {other_system,9599652}]}, # {alarms,[]}, # {listeners,[]}, # {processes,[{limit,1048576},{used,73}]}, # {run_queue,0}, # {uptime,48363}, # {kernel,{net_ticktime,60}}] 则说明rabbitmq应用没有启动,只启动了基础服务,则执行 rabbitmqctl start_app 得到: # Starting node rabbit@devxyz ... 然后 rabbitmqctl status 再次验证服务状态 1.2、如果存在error,例如: # Status of node rabbit@devxyz ... # Error: unable to connect to node rabbit@devxyz: nodedown # # DIAGNOSTICS # =========== # # attempted to contact: [rabbit@devxyz] # # rabbit@devxyz: # * connected to epmd (port 4369) on devxyz # * epmd reports: node 'rabbit' not running at all # no other nodes on devxyz # * suggestion: start the node # # current node details: # - node name: 'rabbitmq-cli-07@devxyz' # - home dir: /var/lib/rabbitmq # - cookie hash: duuNopvOx1ChRdjrRHPo+A== 说明rabbitmq的基础服务都没有启动起来,首先尝试如下命令看是否可以启动: rabbitmq-server -detached 得到: # Warning: PID file not written; -detached was passed. rabbitmqctl start_app 得到 # Starting node rabbit@devxyz ... rabbitmqctl status验证 如果无法得到正常状态,则需要根据报错信息进行判断再进行相应操作
登录到任意一个存活的RabbitMQ节点上,执行
rabbitmqctl cluster_status 得到: # Cluster status of node rabbit@HYRBT001 ... # [{nodes,[{disc,[rabbit@HYRBT001,rabbit@HYRBT002,rabbit@HYRBT003]}]}, # {running_nodes,[rabbit@HYRBT003,rabbit@HYRBT002,rabbit@HYRBT001]}, # {cluster_name,<<"HYRBT001">>}, # {partitions,[]}, # {alarms,[{rabbit@HYRBT003,[]},{rabbit@HYRBT002,[]},{rabbit@HYRBT001,[]}]}] 得到集群的状态信息 nodes: 后面会显示所有的rabbitmq节点 running_nodes: 后面会显示所有的rabbitmq节点 cluster_name:后面会显示集群名称 partitions之后为空 alarms之后跟的节点之后的[]中为空 2.1、如果nodes后面的rabbitmq节点不全,说明存在节点没有加入到集群中 例如: # Cluster status of node rabbit@HYCTL001 ... # [{nodes,[{disc,[rabbit@HYCTL001,rabbit@HYCTL002]}]}, # {running_nodes,[rabbit@HYCTL002,rabbit@HYCTL001]}, # {cluster_name,<<"rabbit@HYCTL001">>}, # {partitions,[]}, # {alarms,[{rabbit@HYCTL002,[]},{rabbit@HYCTL001,[]}]}] 但实际上应该有三个节点上,则登录到未加入到集群中的节点3上 首先验证此节点与已经加入集群的节点的连通性,通过ping测试 然后验证.erlang.cookie是否相同 .erlang.cookie位于/var/lib/rabbitmq/下 如果不同,则将集群中节点的内容复制到此节点上 验证都通过后,查看rabbitmq服务是否已经开启,具体见步骤1 服务正常之后,执行如下命令加入集群: rabbitmqctl stop_app 得到: # Stopping node rabbit@HYCTL003 ... rabbitmqctl reset 得到: # Resetting node rabbit@HYCTL003 ... rabbitmqctl join_cluster rabbit@集群节点名 得到: # Clustering node rabbit@HYCTL003 with rabbit@HYCTL001 ... rabbitmqctl start_app 得到: # Starting node rabbit@HYCTL003 ... rabbitmqctl cluster_status验证节点已经加入到nodes、running_nodes及alarms之后 得到: # Cluster status of node rabbit@HYCTL003 ... # [{nodes,[{disc,[rabbit@HYCTL001,rabbit@HYCTL002,rabbit@HYCTL003]}]}, # {running_nodes,[rabbit@HYCTL001,rabbit@HYCTL002,rabbit@HYCTL003]}, # {cluster_name,<<"rabbit@HYCTL001">>}, # {partitions,[]}, # {alarms,[{rabbit@HYCTL001,[]},{rabbit@HYCTL002,[]},{rabbit@HYCTL003,[]}]}] 2.2、如果running_nodes之后未显示所有的节点,说明部分节点上的rabbitmq服务未正常,例如: # Cluster status of node rabbit@HYCTL001 ... # [{nodes,[{disc,[rabbit@HYCTL001,rabbit@HYCTL002,rabbit@HYCTL003]}]}, # {running_nodes,[rabbit@HYCTL002,rabbit@HYCTL001]}, # {cluster_name,<<"rabbit@HYCTL001">>}, # {partitions,[]}, # {alarms,[{rabbit@HYCTL002,[]},{rabbit@HYCTL001,[]}]}] 发现节点3没有running,则登录到节点3 参考步骤1进行处理,处理完成后,执行 rabbitmqctl cluster_status验证 # Cluster status of node rabbit@HYCTL003 ... # [{nodes,[{disc,[rabbit@HYCTL001,rabbit@HYCTL002,rabbit@HYCTL003]}]}, # {running_nodes,[rabbit@HYCTL001,rabbit@HYCTL002,rabbit@HYCTL003]}, # {cluster_name,<<"rabbit@HYCTL001">>}, # {partitions,[]}, # {alarms,[{rabbit@HYCTL001,[]},{rabbit@HYCTL002,[]},{rabbit@HYCTL003,[]}]}] 2.3、如果partitions中存在节点,则说明发生了脑裂(一般为网络问题,导致节点之间通信异常),集群服务处于异常状态。 例如: # Cluster status of node rabbit@HYCTL001 ... # [{nodes,[{disc,[rabbit@HYCTL001,rabbit@HYCTL002,rabbit@HYCTL00]}]}, # {running_nodes,[rabbit@HYCTL001,rabbit@HYCTL002,rabbit@HYCTL003]}, # {cluster_name,<<"rabbit@HYCTL001">>}, # {partitions,[{rabbit@HYCTL001,rabbit@HYCTL002,[rabbit@HYCTL001]}, # {rabbit@HYCTL003,[rabbit@HYCTL001,rabbit@HYCTL002]}]}, # {alarms,[{rabbit@HYCTL001,[]},{rabbit@HYCTL002,[]},{rabbit@HYCTL003,[]}]}] 需要确定一个主节点进行保留,然后把另外partition中节点进行服务重启。 主节点的确定主要分两种情况: 2.3.1、如果使用了haproxy来对rabbitmq集群进行负载均衡,并且设置了主备模式,则可以通过查看haproxy的配置 文件来确定: 登录到某一台控制节点,查看haproxy配置文件: cat /etc/haproxy/conf.d/100-rabbitmq.cfg 得到: # listen rabbitmq # bind 192.168.0.10:5672 # balance roundrobin # mode tcp # option tcpka # timeout client 48h # timeout server 48h # server HYCTL001 192.168.0.11:5673 check inter 5000 rise 2 fall 3 # server HYCTL002 192.168.0.12:5673 backup check inter 5000 rise 2 fall 3 # server HYCTL003 192.168.0.13:5673 backup check inter 5000 rise 2 fall 3 配置文件中存在backup的是备节点,无backup的是主节点,由此可见,对于本环境,HYCTL001为主节点,处理业务 确定好主节点之后,登录到其他非主节点的rabbitmq节点进行rabbitmq服务的重启 执行如下命令: rabbitmqctl stop 得到: # Stopping and halting node rabbit@HYCTL003 ... rabbitmq-server -detached 得到: # Warning: PID file not written; -detached was passed. rabbitmqctl start_app 得到: # Starting node rabbit@HYCTL003 ... 使用rabbitmqctl status检查状态 使用rabbitmqctl cluster_status检查集群状态,如果依然存在其他脑裂的节点,则partitions中主节点所在元组 会增加刚刚重启的节点,其他元组中该节点被移除。如果所有的脑裂节点都已经处理完毕,则partitions后无节点存在, 得到: # Cluster status of node rabbit@HYCTL003 ... # [{nodes,[{disc,[rabbit@HYCTL001,rabbit@HYCTL002,rabbit@HYCTL003]}]}, # {running_nodes,[rabbit@HYCTL001,rabbit@HYCTL002,rabbit@HYCTL003]}, # {cluster_name,<<"rabbit@HYCTL001">>}, # {partitions,[]}, # {alarms,[{rabbit@HYCTL001,[]},{rabbit@HYCTL002,[]},{rabbit@HYCTL003,[]}]}] 2.3.2 如果没有设置主备模式,则需要确定下当前连接数最多的节点,以此节点为主 通过查看连接数来进行判断,在任意一个RabbitMQ节点上执行: rabbitmqctl list_connections pid | grep HYCTL001(节点名) | wc -l 对所有的节点名进行连接数个数的选取,最终选择连接数目最多的那个partition元组作为主元组,对其他元组中的节点 进行RabbitMQ服务的重启,重启步骤与2.3.1相同 2.4、如果alarms中存在节点,说明内存或者磁盘占用过多,例如: # Cluster status of node rabbit@HYCTL003 ... # [{nodes,[{disc,[rabbit@HYCTL001,rabbit@HYCTL002,rabbit@HYCTL003]}]}, # {running_nodes,[rabbit@HYCTL001,rabbit@HYCTL002,rabbit@HYCTL003]}, # {cluster_name,<<"rabbit@HYCTL001">>}, # {partitions,[]}, # {alarms,[{rabbit@HYCTL001,[]}, # {rabbit@HYCTL002,[]}, # {rabbit@HYCTL003,[disk,memory]}]}] 说明节点3上内存和磁盘都出现了报警,说明有大量的消息堆积在了节点3上,原因可能是后端消费消息的服务异常或者存在无效的队列 一直在接收消息,但是并没有消费者进行消费。 RabbitMQ报警的参数是可以设置的,具体的值通过rabbitmqctl status可以看到,如下: # {vm_memory_high_watermark,0.4},内存使用阈值 # {vm_memory_limit,81016840192},内存使用限值 # {disk_free_limit,50000000},空闲磁盘限值 # {disk_free,553529729024},磁盘空余量 # {file_descriptors, # [{total_limit,102300}, # {total_used,2040}, # {sockets_limit,92068}, # {sockets_used,2038}]},文件描述符和socket的使用及阈值 # {processes,[{limit,1048576},{used,31681}]},进程数使用及阈值 消息堆积数目的确定可以通过如下命令: rabbitmqctl list_queues messages_ready | awk 'NR>=2{print }'| awk '{sum+=$1}END{print sum}' 得到最终消息堆积数目 rabbitmqctl list_queues message_bytes_ram | awk 'NR>=2{print }'| awk '{sum+=$1}END{print sum}' 可以得到消息堆积占用的内存 rabbitmqctl list_queues message_bytes_persistent | awk 'NR>=2{print }'| awk '{sum+=$1}END{print sum}' 可以得到消息堆积占用的磁盘 消息堆积时需要先检查是那些队列堆积消息过多 rabbitmqctl list_queues message_bytes_ram name | awk 'NR>=2{print }'|sort -rn|less 得到消息堆积数目的从大到小的排序,并显示队列名称,然后根据队列名进行不同节点服务的排查,如果是服务状态异常,则 对服务进行处理,如果是无效队列(前期使用当前已经不再使用的服务产生的队列),则进行删除,队列的删除需要登录到 RabbitMQ的管理页面上进行处理,后面会写管理页面的操作。 2.5、检查RabbitMQ的队列或者连接是否处于流控状态 当RabbitMQ的消费者端的处理能力远低于消息的生产速度时,RabbitMQ会自动进行流控,避免消息过度堆积且导致消息从 产生到被消费时间间隔过长。 是否发生了流控可以通过命令行查看,登录到任意一个RabbitMQ节点,执行 rabbitmqctl list_queus name state | grep flow 如果得到结果,说明对应的队列产生了流控,需要对队列的生产进程和消费进程进行检查,参考2.4 rabbitmqctl list_connections name state|grep flow 如果得到结果,说明对应的连接产生了流控,此时队列中也一定会有流控,对队列的生产进程和消费进程进行检查,参考2.4
RabbitMQ管理页面的开启需要先启用rabbitmq_management插件 登录到任意一台RabbitMQ节点,首先查看是否启用了rabbitmq_management插件: rabbitmq-plugins list -v -E |grep -A5 rabbitmq_management 得到: # [E*] rabbitmq_management # Version: 3.6.5 # Dependencies: [rabbitmq_web_dispatch,amqp_client, # rabbitmq_management_agent] # Description: RabbitMQ Management Console 说明rabbitmq_management插件已经启用 如果未启用,则通过如下命令开启: rabbitmq-plugins enable rabbitmq_management 得到: # The following plugins have been enabled: # mochiweb # webmachine # rabbitmq_web_dispatch # amqp_client # rabbitmq_management_agent # rabbitmq_management # # Applying plugin configuration to rabbit@devxyz... started 6 plugins. rabbitmq_management插件启用以后,需要开通15672端口的防火墙规则,rabbitmq_management插件默认使用15672端口 进行访问 iptables -I INPUT -p tcp --dport 15672 -j ACCEPT service iptables save 开启iptables规则并保存 然后使用此节点的ip:15672登录到管理页面 输入用户名密码 用户名可以通过 rabbitmqctl list_users来获取,对应的密码为之前用户设置的密码,使用非guest用户登录 登录过后可以看到RabbitMQ整个集群的状态,各节点的状态,是否存在脑裂,是否存在报警,当前的消息堆积数目等, 如果需要对队列进行删除,需要点击Queues标签,然后再Filter后输入队列名,点击进入队列,拉到页面下方,点击 Delete/purge栏,点击Delete可删除队列,purge可清空队列
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