Expand a Cluster - Kubernetes
Like regular TigerGraph clusters, a TigerGraph cluster deployed on Kubernetes can also be expanded. When you expand a TigerGraph cluster on Kubernetes, the data across the different nodes are automatically redistributed.
Expanding a cluster requires several minutes of downtime.
A running TigerGraph Deployment in a Kubernetes cluster
You have configured
kubectlfor access to your running Kubernetes cluster.
There is some data loaded in your TigerGraph instance. If the instance is completely empty, cluster expansion fails.
The following are the steps to expand a TigerGraph cluster on Kubernetes
2.1. Identify new cluster replication and partition
Before running any commands to expand a cluster, make sure you have a clear idea of how the new cluster should be distributed. You should have the following information:
The new replication factor of the cluster
The new partitioning factor of the cluster
The new size of the cluster
2.2. Download script
Clone the repository at https://github.com/tigergraph/ecosys.
Change into the
There is a script named
tg that you need to perform the actions described in this page.
2.3. Expand cluster
tg script with the following arguments to expand the cluster:
$ ./tg <cloud_platform> expand -s <new_size> -n <namespace> --prefix <prefix>
<cloud_platform>with the cloud platform where your Kubernetes cluster is provisioned. Possible values are:
<new_size>with the new size (the number of nodes) of the cluster. This value is required.
<namespace>with the namespace where your resources reside. If not provided, the script uses the default namespace
<prefix>with the Pod name prefix. If you didn’t specify a prefix when creating the cluster, do not specify one here.
For example, to expand a TigerGraph Deployment in the
example namespace of a Google Kubernetes Engine (GKE) Kubernetes cluster to a 6-node cluster, run the following command:
$ ./tg gke expand -s 6 -n example