MongoDB 消息存储

配置 MongoDB 消息存储

配置文件: emqx_backend_mongo.conf

配置 MongoDB 服务器

支持配置多台 MongoDB 服务器连接池:

  1. ## MongoDB 集群类型: single | unknown | sharded | rs
  2. backend.mongo.pool1.type = single
  3. ## 如果 type = rs; 需要配置 setname
  4. ## backend.mongo.pool1.rs_set_name = testrs
  5. ## MongoDB 服务器地址列表
  6. backend.mongo.pool1.server = 127.0.0.1:27017
  7. ## MongoDB 连接池大小
  8. backend.mongo.pool1.c_pool_size = 8
  9. ## 连接的数据库名称
  10. backend.mongo.pool1.database = mqtt
  11. ## MongoDB 认证用户名密码
  12. ## backend.mongo.pool1.login = emqtt
  13. ## backend.mongo.pool1.password = emqtt
  14. ## MongoDB 认证源
  15. ## backend.mongo.pool1.auth_source = admin
  16. ## 是否开启 SSL
  17. ## backend.mongo.pool1.ssl = false
  18. ## SSL 密钥文件路径
  19. ## backend.mongo.pool1.keyfile =
  20. ## SSL 证书文件路径
  21. ## backend.mongo.pool1.certfile =
  22. ## SSL CA 证书文件路径
  23. ## backend.mongo.pool1.cacertfile =
  24. ## MongoDB 数据写入模式: unsafe | safe
  25. ## backend.mongo.pool1.w_mode = safe
  26. ## MongoDB 数据读取模式: master | slaver_ok
  27. ## backend.mongo.pool1.r_mode = slave_ok
  28. ## MongoDB 底层 driver 配置, 保持默认即可
  29. ## backend.mongo.topology.pool_size = 1
  30. ## backend.mongo.topology.max_overflow = 0
  31. ## backend.mongo.topology.overflow_ttl = 1000
  32. ## backend.mongo.topology.overflow_check_period = 1000
  33. ## backend.mongo.topology.local_threshold_ms = 1000
  34. ## backend.mongo.topology.connect_timeout_ms = 20000
  35. ## backend.mongo.topology.socket_timeout_ms = 100
  36. ## backend.mongo.topology.server_selection_timeout_ms = 30000
  37. ## backend.mongo.topology.wait_queue_timeout_ms = 1000
  38. ## backend.mongo.topology.heartbeat_frequency_ms = 10000
  39. ## backend.mongo.topology.min_heartbeat_frequency_ms = 1000
  40. ## MongoDB Backend Hooks
  41. backend.mongo.hook.client.connected.1 = {"action": {"function": "on_client_connected"}, "pool": "pool1"}
  42. backend.mongo.hook.session.created.1 = {"action": {"function": "on_subscribe_lookup"}, "pool": "pool1"}
  43. backend.mongo.hook.client.disconnected.1 = {"action": {"function": "on_client_disconnected"}, "pool": "pool1"}
  44. backend.mongo.hook.session.subscribed.1 = {"topic": "#", "action": {"function": "on_message_fetch"}, "pool": "pool1", "offline_opts": {"time_range": "2h", "max_returned_count": 500}}
  45. backend.mongo.hook.session.subscribed.2 = {"topic": "#", "action": {"function": "on_retain_lookup"}, "pool": "pool1"}
  46. backend.mongo.hook.session.unsubscribed.1= {"topic": "#", "action": {"function": "on_acked_delete"}, "pool": "pool1"}
  47. backend.mongo.hook.message.publish.1 = {"topic": "#", "action": {"function": "on_message_publish"}, "pool": "pool1"}
  48. backend.mongo.hook.message.publish.2 = {"topic": "#", "action": {"function": "on_message_retain"}, "pool": "pool1"}
  49. backend.mongo.hook.message.publish.3 = {"topic": "#", "action": {"function": "on_retain_delete"}, "pool": "pool1"}
  50. backend.mongo.hook.message.acked.1 = {"topic": "#", "action": {"function": "on_message_acked"}, "pool": "pool1"}
  51. ## 获取离线消息
  52. ## "offline_opts": 获取离线消息的配置
  53. ## - max_returned_count: 单次拉去的最大离线消息数目
  54. ## - time_range: 仅拉去在当前时间范围的消息
  55. ## backend.mongo.hook.session.subscribed.1 = {"topic": "#", "action": {"function": "on_message_fetch"}, "pool": "pool1", "offline_opts": {"time_range": "2h", "max_returned_count": 500}}
  56. ## 如果需要存储 Qos0 消息, 可开启以下配置
  57. ## 警告: 当开启以下配置时, 需关闭 'on_message_fetch', 否则 qos1, qos2 消息会被存储俩次
  58. ## backend.mongo.hook.message.publish.4 = {"topic": "#", "action": {"function": "on_message_store"}, "pool": "pool1", "payload_format": "mongo_json"}

backend 消息存储规则包括:

hooktopicaction说明
client.connectedon_client_connected存储客户端在线状态
session.createdon_subscribe_lookup订阅主题
client.disconnectedon_client_disconnected存储客户端离线状态
session.subscribed#on_message_fetch获取离线消息
session.subscribed#on_retain_lookup获取retain消息
session.unsubscribed#on_acked_delete删除 acked 消息
message.publish#on_message_publish存储发布消息
message.publish#on_message_retain存储retain消息
message.publish#on_retain_delete删除retain消息
message.acked#on_message_acked消息ACK处理

MongoDB 数据库初始化

  1. use mqtt
  2. db.createCollection("mqtt_client")
  3. db.createCollection("mqtt_sub")
  4. db.createCollection("mqtt_msg")
  5. db.createCollection("mqtt_retain")
  6. db.createCollection("mqtt_acked")
  7. db.mqtt_client.ensureIndex({clientid:1, node:2})
  8. db.mqtt_sub.ensureIndex({clientid:1})
  9. db.mqtt_msg.ensureIndex({sender:1, topic:2})
  10. db.mqtt_retain.ensureIndex({topic:1})

Tip

数据库名称可自定义

MongoDB 用户状态集合(Client Collection)

mqtt_client 存储设备在线状态:

  1. {
  2. clientid: string,
  3. state: 0,1, //0离线 1在线
  4. node: string,
  5. online_at: timestamp,
  6. offline_at: timestamp
  7. }

查询设备在线状态:

  1. db.mqtt_client.findOne({clientid: ${clientid}})

例如 ClientId 为 test 客户端上线:

  1. db.mqtt_client.findOne({clientid: "test"})
  2. {
  3. "_id" : ObjectId("58646c9bdde89a9fb9f7fb73"),
  4. "clientid" : "test",
  5. "state" : 1,
  6. "node" : "emqx@127.0.0.1",
  7. "online_at" : 1482976411,
  8. "offline_at" : null
  9. }

例如 ClientId 为 test 客户端下线:

  1. db.mqtt_client.findOne({clientid: "test"})
  2. {
  3. "_id" : ObjectId("58646c9bdde89a9fb9f7fb73"),
  4. "clientid" : "test",
  5. "state" : 0,
  6. "node" : "emqx@127.0.0.1",
  7. "online_at" : 1482976411,
  8. "offline_at" : 1482976501
  9. }

MongoDB 用户订阅主题集合(Subscription Collection)

mqtt_sub 存储订阅关系:

  1. {
  2. clientid: string,
  3. topic: string,
  4. qos: 0,1,2
  5. }

用户 test 分别订阅主题 test_topic0 test_topic1 test_topic2:

  1. db.mqtt_sub.insert({clientid: "test", topic: "test_topic1", qos: 1})
  2. db.mqtt_sub.insert({clientid: "test", topic: "test_topic2", qos: 2})

某个客户端订阅主题:

  1. db.mqtt_sub.find({clientid: ${clientid}})

查询 ClientId 为 “test” 的客户端已订阅主题:

  1. db.mqtt_sub.find({clientid: "test"})
  2. { "_id" : ObjectId("58646d90c65dff6ac9668ca1"), "clientid" : "test", "topic" : "test_topic1", "qos" : 1 }
  3. { "_id" : ObjectId("58646d96c65dff6ac9668ca2"), "clientid" : "test", "topic" : "test_topic2", "qos" : 2 }

MongoDB 发布消息集合(Message Collection)

mqtt_msg 存储 MQTT 消息:

  1. {
  2. _id: int,
  3. topic: string,
  4. msgid: string,
  5. sender: string,
  6. qos: 0,1,2,
  7. retain: boolean (true, false),
  8. payload: string,
  9. arrived: timestamp
  10. }

查询某个客户端发布的消息:

  1. db.mqtt_msg.find({sender: ${clientid}})

查询 ClientId 为 “test” 的客户端发布的消息:

  1. db.mqtt_msg.find({sender: "test"})
  2. {
  3. "_id" : 1,
  4. "topic" : "/World",
  5. "msgid" : "AAVEwm0la4RufgAABeIAAQ==",
  6. "sender" : "test",
  7. "qos" : 1,
  8. "retain" : 1,
  9. "payload" : "Hello world!",
  10. "arrived" : 1482976729
  11. }

MongoDB 保留消息集合(Retain Message Collection)

mqtt_retain 存储 Retain 消息:

  1. {
  2. topic: string,
  3. msgid: string,
  4. sender: string,
  5. qos: 0,1,2,
  6. payload: string,
  7. arrived: timestamp
  8. }

查询 retain 消息:

  1. db.mqtt_retain.findOne({topic: ${topic}})

查询topic为 “t/retain” 的 retain 消息:

  1. db.mqtt_retain.findOne({topic: "t/retain"})
  2. {
  3. "_id" : ObjectId("58646dd9dde89a9fb9f7fb75"),
  4. "topic" : "t/retain",
  5. "msgid" : "AAVEwm0la4RufgAABeIAAQ==",
  6. "sender" : "c1",
  7. "qos" : 1,
  8. "payload" : "Hello world!",
  9. "arrived" : 1482976729
  10. }

MongoDB 接收消息 ack 集合(Message Acked Collection)

mqtt_acked 存储客户端消息确认:

  1. {
  2. clientid: string,
  3. topic: string,
  4. mongo_id: int
  5. }

启用 MongoDB 数据存储插件

  1. ./bin/emqx_ctl plugins load emqx_backend_mongo