Zookeeper Cluster Manager

This is a cluster manager implementation for Vert.x that uses Zookeeper.

It implements interfaces of vert.x cluster totally. So you can using it to instead of vertx-hazelcast if you want. This implementation is packaged inside:

<dependency>
<groupId>io.vertx</groupId>
<artifactId>vertx-zookeeper</artifactId>
<version>4.4.9</version>
</dependency>

In Vert.x a cluster manager is used for various functions including:

Discovery and group membership of Vert.x nodes in a cluster
Maintaining cluster wide topic subscriber lists (so we know which nodes are interested in which event busaddresses)
Distributed Map support
Distributed Locks
Distributed Counters

Cluster managersdo not* handle the event bus inter-node transport, this is done directly by Vert.x with TCP connections.

How to work

We are using Apache Curator framework rather than zookeeper client directly, so we have a dependency for libraries used in Curator such as guava, slf4j and of course zookeeper.

Since ZK using tree dictionary to store data, we can take root path as namespace default root path is io.vertx which in default-zookeeper.json. and there are another 5 sub path to record other information for functions in vert.x cluster manager, all you can change the path is root path.

you can find all the vert.x node information in path of /io.vertx/cluster/nodes/, /io.vertx/asyncMap/$name/ record all the AsyncMap you created with io.vertx.core.shareddata.AsyncMap interface. /io.vertx/asyncMultiMap/$name/ record all the AsyncMultiMap you created with io.vertx.core.spi.cluster.AsyncMultiMap interface. /io.vertx/locks/ record distributed Locks information. /io.vertx/counters/ record distributed Count information.

Using this cluster manager

If you are using Vert.x from the command line, the jar corresponding to this cluster manager (it will be named vertx-zookeeper-4.4.9.jar` should be in the lib directory of the Vert.x installation.

If you want clustering with this cluster manager in your Vert.x Maven or Gradle project then just add a dependency to the artifact: io.vertx:vertx-zookeeper:${version} in your project.

If the jar is on your classpath as above then Vert.x will automatically detect this and use it as the cluster manager. Please make sure you don’t have any other cluster managers on your classpath or Vert.x might choose the wrong one.

You can also specify the cluster manager programmatically if you are embedding Vert.x by specifying it on the options when you are creating your Vert.x instance, for example:

ClusterManager mgr = new ZookeeperClusterManager();
VertxOptions options = new VertxOptions().setClusterManager(mgr);
Vertx.clusteredVertx(options).onComplete(res -> {
  if (res.succeeded()) {
    Vertx vertx = res.result();
  } else {
    // failed!
  }
});

Configuring this cluster manager

Usually the cluster manager is configured by a file default-zookeeper.json which is packaged inside the jar.

If you want to override this configuration you can provide a file called zookeeper.json on your classpath and this will be used instead. If you want to embed the zookeeper.json file in a fat jar, it must be located at the root of the fat jar. If it’s an external file, the*directory** containing the file must be added to the classpath. For example, if you are using the launcher class from Vert.x, the classpath enhancement can be done as follows:

# If the zookeeper.json is in the current directory:
java -jar ... -cp . -cluster
vertx run MyVerticle -cp . -cluster

# If the zookeeper.json is in the conf directory
java -jar ... -cp conf -cluster

Another way to override the configuration is by providing the system property vertx.zookeeper.conf with a location:

# Use a cluster configuration located in an external file
java -Dvertx.zookeeper.config=./config/my-zookeeper-conf.json -jar ... -cluster

# Or use a custom configuration from the classpath
java -Dvertx.zookeeper.config=classpath:my/package/config/my-cluster-config.json -jar ... -cluster

The vertx.zookeeper.config system property, when present, overrides any zookeeper.json from the classpath, but if loading from this system property fails, then loading falls back to either zookeeper.json or the Zookeeper default configuration.

The configuration file is described in detail in `default-zookeeper.json’s comment.

You can also specify configuration programmatically if embedding:

JsonObject zkConfig = new JsonObject();
zkConfig.put("zookeeperHosts", "127.0.0.1");
zkConfig.put("rootPath", "io.vertx");
zkConfig.put("retry", new JsonObject()
    .put("initialSleepTime", 3000)
    .put("maxTimes", 3));


ClusterManager mgr = new ZookeeperClusterManager(zkConfig);
VertxOptions options = new VertxOptions().setClusterManager(mgr);

Vertx.clusteredVertx(options).onComplete(res -> {
  if (res.succeeded()) {
    Vertx vertx = res.result();
  } else {
    // failed!
  }
});

The retry policy can be specified in the json configuration as following:

{
 "retry":{
   "policy": "exponential_backoff"
 }
}

The possible value for the policy are:

exponential_backoff (default)
bounded_exponential_backoff
one_time
n_times
forever
until_elapsed

You can also configure the zookeeper hosts using the vertx.zookeeper.hosts system property.

Enabling logging

When trouble-shooting clustering issues with Zookeeper it’s often useful to get some logging output from Zookeeper to see if it’s forming a cluster properly. You can do this (when using the default JUL logging) by adding a file called vertx-default-jul-logging.properties on your classpath. This is a standard java.util.logging (JUL) configuration file. Inside it set:

org.apache.zookeeper.level=INFO

and also

java.util.logging.ConsoleHandler.level=INFO
java.util.logging.FileHandler.level=INFO

Apache Ignite

JUnit 5