RabbitMQ(11)Mirror HA with Cluster

RabbitMQ(11)Mirror HA with Cluster

 

We can set up that from command line with  rabbitmqctl.

We can also do that from the rabbitMQ client.

We can also do that on the UI console.

 

There are several policy.

ha-mode——————ha-params ————— Result

all           ——————(absent)     ————— Queue is mirrored, if we add one node, the system will mirror all data to that.

exactly   ——————count  ———————We will only keep certain count of mirror nodes

nodes ———————node names ———— List the mirror nodes in the parameters part

 

Let’s try to implement it in scala.

 

Lyra, High Availability RabbitMQ Client

It will helps us to achieve high availability in our services by embracing failure, allowing for AMQP resources such as connections, channels and consumers to be automatically recovered when the server or network failures occur.

 

https://github.com/jhalterman/lyra

 

msgpack 

http://msgpack.org/

 

or 

 

msgpack4s

https://github.com/velvia/msgpack4s

 

https://github.com/msgpack/msgpack-java/issues/4

 

Some example

Project Configuration

For RabbitMQ load balance and cluster solution. I read some documents. Actually, there are several levels. 1. Cluster We can have a cluster of nodes which can have duplicated routing and exchange in every node. So the client can producer to any nodes. But the persist queue information is stored in one node, so if that node is down, we need to wait until that node recover. 2. HA based on cluster If we have configured mirrors in the cluster, then we will have the persist queue information in all the nodes. We will lost some performance here. But the good things is that when one node is down, we can go on serving from other nodes. 3. Sharding based on Cluster From the document, it is said, we will not just mirror all the queue information to all the nodes, the more nodes we have, we will lost more performance. Instead of simple mirror, we will sharding different data into different queues in different nodes. I did not read more about that since we are using mirror on production. I will begin from there. Set up RabbitMQ Cluster details here http://sillycat.iteye.com/blog/2066116 >chmod 400 ~/.erlang.cookie >sudo chown -R carl ~/.erlang.cookie >sudo chgrp -R staff ~/.erlang.cookie  enable the plugin >sudo rabbitmq-plugins enable rabbitmq_management  Start the first node as rabbitmq1 on local MAC >sudo RABBITMQ_NODE_PORT=5672 RABBITMQ_SERVER_START_ARGS="-rabbitmq_management listener [{port,15672}]" RABBITMQ_NODENAME=rabbit1 sbin/rabbitmq-server -detached  Start the second node >sudo RABBITMQ_NODE_PORT=5673 RABBITMQ_SERVER_START_ARGS="-rabbitmq_management listener [{port,15673}]" RABBITMQ_NODENAME=rabbit2 sbin/rabbitmq-server -detached  Check the status of these 2 nodes, make sure they are running fine separately. >sbin/rabbitmqctl -n rabbit2 cluster_status >sbin/rabbitmqctl -n rabbit1 cluster_status  Stop the second node, and make the second node join the first node as a cluster >sudo sbin/rabbitmqctl -n rabbit2 stop_app >sbin/rabbitmqctl -n rabbit2 join_cluster rabbit1@sparkworker1 >sudo sbin/rabbitmqctl -n rabbit2 start_app  Check the status again, it will be a running cluster.

 

In the basic class, we will do that

def setPolicy(): Unit = {
  val auth = "Basic " + DatatypeConverter.printBase64Binary((username + ":" + password).getBytes)
  rabbitAdmin.split(",").map(h => new URL("http://" + h.trim + "/api/policies/%2f/high-availability")).
    foreach { url =>
      logger.debug("setting policy for " + url)
      val conn = url.openConnection().asInstanceOf[HttpURLConnection]
      conn.setDoOutput(true)
      conn.setRequestMethod("PUT")
      List(
        "Content-Type" -> "application/json",
        "Content-Length" -> haDefinition.length.toString,
        "Authorization" -> auth
      ).foreach(t => conn.setRequestProperty(t._1, t._2))
      val os = conn.getOutputStream
      os.write(haDefinition.getBytes)
      os.close
      logger.debug("response " + conn.getResponseCode + conn.getResponseMessage)
    }
}

 

 

 

 

References:

old blog

http://sillycat.iteye.com/blog/2066116

 

sharding

https://github.com/rabbitmq/rabbitmq-sharding

 

HA

http://www.rabbitmq.com/ha.html

 

cluster

http://www.rabbitmq.com/clustering.html