Helix constructs follow a logical hierarchy. A cluster contains participants, and serve logical resources. Each resource can be divided into partitions, which themselves can be replicated. Helix now supports configuring and modifying clusters programmatically in a hierarchical way using a logical accessor.

Click here for the Javadocs of the accessors.

An Example

Configure a Participant

A participant is a combination of a host, port, and a UserConfig. A UserConfig is an arbitrary set of properties a Helix user can attach to any participant.

ParticipantId participantId = ParticipantId.from("localhost_12345");
ParticipantConfig participantConfig = new ParticipantConfig.Builder(participantId)

Configure a Resource

A Resource is essentially a combination of an IdealState and a UserConfig. You can use one of the mode-specific IdealState builders to aid in creating the ideal state of your specific resource.

In Action

Here is an example of a configured resource with an ideal state for FULL_AUTO mode and two partitions:

ResourceId resourceId = ResourceId.from("sampleResource");
StateModelDefinition stateModelDef = getStateModelDef();
Partition partition1 = new Partition(PartitionId.from(resourceId, "1"));
Partition partition2 = new Partition(PartitionId.from(resourceId, "2"));
AutoRebalanceModeISBuilder idealStateBuilder =
    new AutoRebalanceModeISBuilder(resourceId).add(partition1).add(partition2);
IdealState idealState = idealStateBuilder.setNumReplica(1).setStateModelDefId(
ResourceConfig resourceConfig =
    new ResourceConfig.Builder(resourceId).idealState(idealState).build();

Add the Cluster

Now we can take the participant and resource configured above, add them to a cluster configuration, and then persist the entire cluster at once using a ClusterAccessor:

// configure the cluster
ClusterId clusterId = ClusterId.from("sampleCluster");
ClusterConfig clusterConfig = new ClusterConfig.Builder(clusterId).addParticipant(participantConfig)

// create the cluster using a ClusterAccessor
HelixConnection connection = new ZkHelixConnection(zkAddr);
ClusterAccessor clusterAccessor = connection.createClusterAccessor(clusterId);

Create, Read, Update, and Delete

Note that you don’t have to specify the entire cluster beforehand! ClusterAccessor allows changing as much or as little of the cluster as needed on the fly. You can add a resource or participant to a cluster, reconfigure a resource, participant, or cluster, remove components from the cluster, and more. See the Javadocs to see all that the accessor class can do.

Delta Classes

Updating a cluster, participant, or resource should involve selecting the element to change, and then letting Helix change only that component. To do this, Helix has included Delta classes for ClusterConfig, ParticipantConfig, and ResourceConfig.

Example: Updating a Participant

Tags are used for Helix depolyments where only certain participants can be allowed to serve certain resources. To do this, Helix only assigns resource replicas to participants who have a tag that the resource specifies. In this example, we will use ParticipantConfig.Delta to remove a participant tag and add another as part of a reconfiguration.

// specify the change to the participant
ParticipantConfig.Delta delta = new ParticipantConfig.Delta(participantId).addTag("newTag").removeTag("oldTag");

// update the participant configuration
ClusterAccessor clusterAccessor = connection.createClusterAccessor(clusterId);
clusterAccessor.updateParticipant(participantId, delta);

Example: Dropping a Resource

Removing a resource from the cluster is quite simple:


Example: Reading the Cluster

Reading a full snapshot of the cluster is also a one-liner:

Cluster cluster = clusterAccessor.readCluster();

Atomic Accessor

Helix also includes a version of ClusterAccessor that can complete operations atomically relative to one another. The specific semantics of the atomic operations are included in the Javadocs. These atomic classes should be used sparingly and only in cases where contention can adversely affect the correctness of a Helix-based cluster. For most deployments, this is not the case, and using these classes will cause a degradation in performance. However, the interface for all atomic accessors mirrors that of the non-atomic accessors.

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