I collect data from the LoRa node, and then gateway forward to lora server, at last, the data to the lora app server. but i cannot find the following interface.
(https://docs.loraserver.io/lora-app-server/integrate/data/)
enter image description here
You need to implement a MQTT client (or user a command-line one, like mosquitto_sub, as suggested in https://docs.loraserver.io/lora-app-server/integrate/data/) and then subscribe to the receiving topic for the specified node. The image you posted is not an interface but an example message a node will send through the topic. For the case given, appID is "123" and devEUI is "0202020202020202", so you need to subscribe to the following topic to get messages from the node:
application/123/node/0202020202020202/rx
As said, you may consume the messages through a MQTT client (there are plenty of clients for different languages), or from the command line.
Just updating from current versions.
Global integrations
Global integrations are configured through the lora-app-server.toml configuration file and are globally enabled. This means that for every application configured, the application will be published using this / these integration(s).
The following integrations are available:
MQTT
AWS Simple Notification Service
Azure Service Bus
Google Cloud Platform Pub/Sub
Application integrations
Additional to the globally enabled integrations, it is also possible to set up integrations per application.
The following integrations are available:
HTTP
InfluxDB
From: loraserver.io
Related
I'm using a web-socket protocol in my spring boot application. There are multiple pods used, to handle heavy traffic. Now, having multiple pods is causing an issue. Let me brief it a bit,
Let's assume there are 2 pods (Pod 1, Pod 2). Angular UI is subscribing to spring boot application on the web-socket protocol, let's say via Pod 1. Now, the spring boot application sends a message to the UI, let's say its send via Pod 2, and this message is getting dropped (never reach the UI) since the web-socket connection was established via Pod 1.
Because of this, some messages are getting dropped, which are being sent to UI by other Pods (which were not used for the initial subscription process), and messages send via Pod which was used initially for subscription, only those messages are received at UI.
How to tackle this scenario, so that every message is send to UI in this multiple pods environment?
The solution to multiple pod issues is by using an external message broker (like RabbitMq, ActiveMq), instead of an in-memory message broker (default behavior).
You may face the below issues while implementing this (writing them down in one place so that you don't have to struggle much as I did 🙂),
Creating Auto-Delete Queues
When using external message broker, you might observe that the queues are created for every websocket connection, but they are not deleted when the websocket connection is over. We don't even need these queues. Hence come the need of Auto-Delete Queues. These auto-queues are automatically deleted when websocket connection is closed. How to declare auto-delete queues, its easy peasy
When using user destinations with an external message broker, check the broker documentation on how to manage inactive queues, so that when the user session is over, all unique user queues are removed. For example, RabbitMQ creates auto-delete queues when destinations like /exchange/amq.direct/position-updates are used. So in that case the client could subscribe to /user/exchange/amq.direct/position-updates. Similarly, ActiveMQ has configuration options for purging inactive destinations.
In simple terms, websocket client and websocket server should use /exchange/amq.direct/<anything> this exchange destination.
For more info, read the official docs
ssl/stomp protocol on Cloud instance
Another issue you might face when you are hosting you application to AWS or Azure or Google Cloud, is that they use ssl/stomp protocol, so you code which works fine in your local machine (since it uses stomp protocol) doesn't work fine in Cloud.
Broadcasting message from one pod to other pods
This issue is the same as written in this Stackoverflow question. [refer the question for clearance]
Now, lemme put up the code snippet and will add comments to indicate which part of snippet fixes which issue. Add it inside your configureMessageBroker method,
val tcpClient = new ReactorNettyTcpClient<>
(TcpClient.create()
.port(yourRabbitmqCloudStompPort)
.host(yourRabbitmqCloudHost)
.secure(SslProvider.defaultClientProvider()),
new StompReactorNettyCodec());
messageBrokerRegistry
// enables stompbroker, instead of in-memory broker
.enableStompBroker("/queue", "/topic", "/exchange")
.setClientLogin(yourRabbitmqCloudClientLogin)
.setClientPasscode(yourRabbitmqCloudClientPasscode)
.setSystemLogin(yourRabbitmqCloudSystemLogin)
.setSystemPasscode(yourRabbitmqCloudSystemPasscode)
// broadcast msg to every pod
.setUserDestinationBroadcast("/topic/unresolved-user-destination")
.setUserRegistryBroadcasr("/topic/user-registry")
// enables ssl/stomp protocol
.setTcpClient(tcpClient);
I have exposed a websocket enabled service endpoint through Azure Application Gateway and the service is hosted on azure service fabric. Client initiates a websocket connection with my endpoint and is able to exchange data. During certain message flows, my Web Socket enabled service calls other services hosted on the service fabric using azure service bus. These are handled in a completely async manner. Once the other services finish processing, they post a message to the service bus which my WebSocket service reads back.
The problem I am having is to route the messages back to the right service fabric node so that it can be pushed back to the client at the other end of the WebSocket connection
In the picture below, you can imagine each node containing multiple services including the web socket enabled service. Once the Websocket service posts a message to the service bus, the downstream services start processing and finally they post a message back to the service bus which the websocket service reads back. Here a random node will pick up the message and it might not have the relevent websocket connection to push the processed data back
Sample Design
I have looked at redis pubsub model and it looks like I have to maintain last message processed on the nodes. It also means, every node on the cluster will need to read the message and discard it if they don't have the websocket connection with the client. I am looking for any suggested design models for this kind of problem
I ran into a similar scenario and didn't like the idea of using a new external service (Redis/SQL Server) as a backplane that would simply duplicate each message/event across all nodes.
The solution I settled on was to lean on a property of actor proxies, using actor events to call-back to a specific instance of a stateless service. Creating an actor service to act as a pub/sub backplane.
The solution is summarised in this blog post and this GitHub repo. It's worth pointing out that the documentation states actor events are best effort. This hasn't really been an issue when the application is running as normal, I presume that during a deployment or failover, some events may get lost, however this could be mitigated with additional work.
It's also worth noting that your load balancing rules should maintain sticky connections between clients and back-end instances. You could create separate rules for websockets if you only wanted this to apply to them and not your regular HTTP traffic.
Whereas the corporate environment I am working in accepts the use of http(s) based request response patterns, which is OK for GraphQL Query and Mutation, they have issues with the use of websockets as needed for GraphQL Subscription and would prefer that the subscription is routed via IBM MQ.
Does anyone have any experience with this? I am thinking of using Apollo Server to serve up the GraphQL interface. Perhaps there is a front-end subscription solution that can be plugged in using IBM MQ? The back end data sources are Oracle databases.
Message queues are usually used to communicate between services while web sockets are how browsers can communicate with the server over a constant socket. This allows the server to send data to the client when a new event of a subscription arrived (classically browsers only supported "pull" and could only receive data when they asked for it). Browsers don't implement the MQ protocols you would need to directly subscribe to the MQ itself. I am not an expert on MQs but what is usually done is there is a subscription server that connects to the client via web socket. The subscription service then itself subscribes to the message queue and notifies relevant clients about their subscribed events. You can easily scale the subscription servers horizontally when you need additional resources.
As illustrated above, I need to build a Vert.x Java app that will be an HTTP server/virtual host (TLS Http traffic, Web socket traffic) that will redirect/channel specific domain traffic to other Vert.x Java apps running on the same server, each in it's own JVM.
I have been reading for days but I remain uncertain as to how to approach all aspects of the task.
What I DO know or have experience with:
Creating an HTTP server, etc
Using a Vert.x VirtualHost handler to "handle" incoming traffic for a
specific domain
What I DO NOT know:
How do I "re-direct" a domain's traffic to another Vert.x app (this
other Vert.x app would also be running on the same server, in its own
JVM).
- Naturally this "other" Vert.x app would need to respond to HTTP
requests, etc. What Vert.x mechanisms do I employ to accomplish this
aspect of the task?
Are any of the following concepts part of the solution? I'm unfamiliar with these concepts and how they may or may not form part of the solution.:
Running each Vert.x app using -cluster option?
Vert.x Streams?
Vert.x Pumps?
There are multiple ways to let your microservices communicate with each other, the fact that all your apps are running on the same server doesn't change much, but it makes number 2.) easy to configure
1.) Rest based client - server communication
Both host and apps have a webserver
When you handle the incoming requests on the host, you simply call another app with a HttpClient
Typically all services find each others address via service discovery.
Eg: each service registers his address in a central registry then other services use this central registry to find the addresses.
Note: this maybe an overkill for you and you can just configure the addresses of the other services.
2.) You start the vertx microservices in clustered mode
the eventbus is then shared among the services
For all incoming requests you send a broadcast on the eventbus
the responsible app replies to the message
For further reading you can checkout https://vertx.io/docs/vertx-hazelcast/java/#configcluster. You start your projects with -cluster option and define the clustering in an xml configuration. I think by default it finds the services via local broadcast.
3.) You use a message broker like RabbitMq etc.
All your apps connect to a central message broker
When a new request comes in to the host, it sends a message to the message broker
The responible app then listens to the relevant messages and replies
The host receives the reply from the message broker
There are already many existing vertx clients for certain message brokers like kafka, camel, zeromq:
https://github.com/vert-x3/vertx-awesome#integration
I'm currently using Socket.IO with redis store.
And I'm using Room feature with it.
So I'm totally okay with Room join (subscribe)
and Leave (unsubscribe) with Socket.IO.
I just see this page
http://www.rabbitmq.com/blog/2010/11/12/rabbitmq-nodejs-rabbitjs/
And I have found that some people are using Socket.IO with rabbitMQ.
Why using Socket.IO alone is not good enough?
Is there any good reason to use Socket.IO with rabbitMQ?
SocketIO is a browser --> server transport mechanism whereas RabbitMQ is a server --> server message bus.
The two can be implemented together to create a very responsive system in scenarios where a user journey consists of a message starting life on a browser and ending up in, say, some persistence layer (such as a database).
A message would be transported to the web server via socketIO and then, instead of the web server being responsible for persisting the message, it would drop it on a Rabbit queue and leave some other process responsible for persisting it. This way, the web server is free to return to its web serving responsibilities and, crucially, lessening its load.
Take a look at SockJS http://sockjs.org .
It's made by the RabbitMQ team
It's simpler than Socket.io
There's an erlang server for SockJS
Apart from that, there is an experimental project within RabbitMQ team that intends to provide a SockJS plugin for RabbitMQ.
I just used rabbitMQ with socket.io for a totally different reason than in the accepted answer. It wasn't that relevant in 2012, that's why I'm updating here.
I'm using a docker swarm deployment of a chat application with scalability and high availability. I have three replicas of the chat application (which uses socket.io) running in the cluster. The swarm cluster automatically load-balances the incoming requests and at any given time a client might get connected to any of the three replicas of the application.
With this scenario, it gets really necessary to sync the WebSocket responses in the replicas of the application because two clients connected to two different instances of the application wouldn't get each other's messages because they've been connected to different WebSockets.
This is where rabbitMQ intervenes. It syncs all the instances of the application and whenever a message is pushed from a WebSocket on a replica, it gets pushed by all replicas.
Complete details of the project have been given here. This is a potential use case of socket.io and rabbitMQ use in conjunction. This goes for any application using socket.io in a distributed environment with high availability and scalability.