Deploy an analytics cluster using the Neo4j Helm chart

modules/ROOT/content-nav.adoc

@@ -48,6 +48,7 @@
 *** xref:kubernetes/quickstart-cluster/access-inside-k8s.adoc[]
 *** xref:kubernetes/quickstart-cluster/access-outside-k8s.adoc[]
 *** xref:kubernetes/quickstart-cluster/uninstall-cleanup.adoc[]
+** xref:kubernetes/quickstart-analytics-cluster.adoc[]
 ** xref:kubernetes/persistent-volumes.adoc[]
 ** xref:kubernetes/configuration.adoc[]
 ** xref:kubernetes/security.adoc[]

modules/ROOT/pages/kubernetes/configuration.adoc

@@ -509,6 +509,7 @@ services:
   # This service is available even if the deployment is not "ready"
   internals:
     enabled: false
+
     # Annotations for the internals service
     annotations: { }
     # n.b. there is no ports object for this service. Ports are autogenerated based on the neo4j configuration
@@ -697,6 +698,12 @@ podSpec:
   # If set to false then no anti-affinity rules are applied
   # If set to an object then that object is used for the Neo4j podAntiAffinity
   podAntiAffinity: true
+#    requiredDuringSchedulingIgnoredDuringExecution:
+#      - labelSelector:
+#          matchLabels:
+#            app: "demo"
+#            helm.neo4j.com/pod_category: "neo4j-instance"
+#        topologyKey: kubernetes.io/hostname
 
   #Add tolerations to the Neo4j pod
   tolerations: []
@@ -837,6 +844,52 @@ logging:
 #        </Root>
 #    </Loggers>
 #    </Configuration>
+
+# define your podDisruptionBudget details here
+podDisruptionBudget:
+  enabled: false
+  matchLabels: {}
+#    "demo": "neo4j"
+  matchExpressions: []
+#    - key: "demo"
+#      operator: "Equals"
+#      value: "neo4j"
+  labels: {}
+#    "name": "neo4j"
+  minAvailable: ""
+  maxUnavailable: ""
+
+# Service Monitor for prometheus
+# Please ensure prometheus operator or the service monitor CRD is present in your cluster before using service monitor config
+serviceMonitor:
+  enabled: false
+  labels: {}
+#    "demo": "value"
+  jobLabel: ""
+  interval: ""
+  port: ""
+  path: ""
+  namespaceSelector: {}
+#    any: false
+#    matchNames:
+#      - default
+  targetLabels: []
+#    - "demo"
+#    - "value"
+  selector: {}
+#    matchLabels:
+#      helm.neo4j.com/service: "admin"
+
+
+# this section is to be used only when setting up (1 primary + n secondary neo4j instances scenario)
+# Disabled by default.
+analytics:
+  # This flag will enable the internal ports and certain configs necessary to allow 1 primary + n secondary neo4j instances scenario
+  enabled: false
+  type:
+    # values can be primary or secondary
+    # this field denotes the neo4j instance type either primary or secondary
+    name: primary
 ----
 +
 . Pass the _neo4j-values.yaml_ file during installation.

modules/ROOT/pages/kubernetes/index.adoc

@@ -15,6 +15,7 @@ This chapter describes the following:
 * xref:kubernetes/helm-charts-setup.adoc[Configure the Neo4j Helm chart repository] -- Configure the Neo4j Helm chart repository and check for the available charts.
 * xref:kubernetes/quickstart-standalone/index.adoc[Quickstart: Deploy a standalone instance] -- Deploy a Neo4j standalone instance to a cloud (GKE, AWS, AKS) or a local (via Docker Desktop for macOS) Kubernetes cluster.
 * xref:kubernetes/quickstart-cluster/index.adoc[Quickstart: Deploy a cluster] -- Deploy a Neo4j cluster to a cloud (GKE, AWS, AKS) Kubernetes cluster.
+* xref:kubernetes/quickstart-analytics-cluster.adoc[Quickstart: Deploy a Neo4j cluster for analytic queries] -- Deploy an analytics Neo4j cluster to a local or a cloud (GKE, AWS, AKS) Kubernetes cluster.
 * xref:kubernetes/persistent-volumes.adoc[Volume mounts and persistent volumes] -- Use persistent volumes with the Neo4j Helm chart and what types Neo4j supports.
 * xref:kubernetes/configuration.adoc[Customizing a Neo4j Helm chart] -- Configure a Neo4j deployment using a customized _values.yaml_ file.
 * xref:kubernetes/security.adoc[Configuring SSL] -- Configure SSL for a Neo4j deployment running on Kubernetes.

modules/ROOT/pages/kubernetes/plugins.adoc

@@ -33,6 +33,7 @@ config:
   dbms.security.procedures.unrestricted: "gds.*"
 ----
 
+[[install-gds-ee-bloom]]
 === Install GDS Enterprise Edition (EE) and Bloom plugins
 
 To install GDS EE and Bloom, you must provide a license for each plugin.

modules/ROOT/pages/kubernetes/quickstart-analytics-cluster.adoc

@@ -0,0 +1,168 @@
+:description: How to deploy a Neo4j cluster to a cloud or a local Kubernetes cluster using Neo4j Helm chart.
+[role=enterprise-edition]
+[[quick-start-analytic-cluster]]
+= Quickstart: Deploy a Neo4j cluster for analytic queries
+
+_The feature is available in the Neo4j Helm chart from version 5.14._
+
+This quickstart shows how to configure and deploy a special Neo4j cluster without fault tolerance to support analytic queries.
+Information on using Neo4j’s graph data science library in a cluster can be found in the link:https://neo4j.com/docs/graph-data-science/current/[Neo4j Graph Data Science library documentation].
+
+The cluster is deployed to a cloud or a local Kubernetes cluster using the Neo4j Helm chart.
+Because the GDS library does not support fault tolerance, you can deploy a cluster with one primary server for the transaction workload and an N number of secondary servers for the GDS analytics.
+
+== Prerequisites
+
+Before you can deploy a Neo4j cluster on Kubernetes, you need to have:
+
+* A Kubernetes cluster running and the `kubectl` command-line tool installed and configured to communicate with your cluster.
+For more information, see link:xref:kubernetes/quickstart-cluster/prerequisites.adoc[Quickstart: Deploy a cluster -> Prerequisites].
+* A valid license for Neo4j Enterprise Edition.
+For more information, see xref:/kubernetes/plugins.adoc#install-gds-ee-bloom[Install GDS Enterprise Edition (EE) and Bloom plugins].
+* The xref:kubernetes/helm-charts-setup.adoc[latest version of the Neo4j Helm chart repository].
+* (Optional) A valid license for GDS Enterprise Edition.
+To install a licensed plugin, you must provide the license files in a Kubernetes secret.
+For more information, see xref:/kubernetes/plugins.adoc#install-gds-ee-bloom[Install GDS Enterprise Edition (EE) and Bloom plugins].
+
+== Create a value YAML file for each type of server
+
+To set up a Neo4j cluster for analytic queries, you need to create a value YAML file for each type of server, primary and secondary.
+For example:
+
+[.tabbed-example]
+=====
+[.include-with-primary]
+======
+
+Create a value YAML file for the primary server, for example, _primary-value.yaml_:
+
+[source, yaml]
+----
+neo4j:
+  name: analytics-cluster
+  acceptLicenseAgreement: "yes"
+  edition: enterprise
+  password: my-password
+volumes:
+  data:
+    mode: defaultStorageClass
+
+# Disable the Neo4j load balancer and enable the internal service so that the servers can access each other:
+services:
+  neo4j:
+    enabled: false
+  internals:
+    enabled: true
+
+# Enable the analytics cluster and set the type to primary:
+analytics:
+  enabled: true
+  type: primary
+----
+======
+[.include-with-secondary]
+======
+Create a value YAML file for the secondary servers, for example, _secondary-gds.yaml_.
+The password must be the same as for the primary server.
+If you are using GDS Enterprise Edition, you also need to create a secret with the license file and mount it as the _/licenses_ volume mount.
+For more information on how to create a secret, see xref:/kubernetes/plugins.adoc#install-gds-ee-bloom[Install GDS Enterprise Edition (EE) and Bloom plugins].
+
+[source, yaml]
+----
+neo4j:
+  name: analytics-cluster
+  acceptLicenseAgreement: "yes"
+  edition: enterprise
+  password: my-password
+volumes:
+  data:
+    mode: defaultStorageClass
+  # Define the volume mount for the license file:
+  licenses:
+    disableSubPathExpr: true
+    mode: volume
+    volume:
+      secret:
+        secretName: gds-license
+        items:
+          - key: gds.license
+            path: gds.license
+
+# Set the environment variables to download the plugins:
+env:
+  NEO4J_PLUGINS: '["graph-data-science"]'
+
+# Set the configuration for the plugins directory and the mount for the license file:
+config:
+  gds.enterprise.license_file: "/licenses/gds.license"
+  server.directories.plugins: "plugins"
+
+# Disable the Neo4j load balancer and enable the internal service so that the servers can access each other:
+services:
+  neo4j:
+    enabled: false
+  internals:
+    enabled: true
+
+# Enable the analytics cluster and set the type to secondary:
+analytics:
+  enabled: true
+  type: secondary
+
+----
+======
+=====
+
+For all available options, see xref:kubernetes/configuration.adoc[Customizing a Neo4j Helm chart].
+
+== Install the servers
+
+. Install a single Neo4j server using the _neo4j-primary.yaml_ file, created in the previous section:
++
+[source, bash]
+----
+helm install primary neo4j/neo4j -f /path/to/neo4j-primary.yaml
+----
+. Install the first secondary server using the _secondary-gds.yaml_ file, created in the previous section:
++
+[source, bash]
+----
+helm install gds1 neo4j/neo4j -f /path/to/secondary-gds.yaml
+----
+. Repeat step 2 to deploy a second secondary server.
+Use a different name, for example, _gds2_.
+
+
+== Verify the installation
+
+To verify that the cluster is deployed and running, you can install a load balancer and access Neo4j from the Neo4j Browser.
+
+. Deploy a Neo4j load balancer to the same namespace as the Neo4j cluster:
++
+[source, bash]
+----
+helm install lb neo4j/neo4j-load-balancer --set neo4j.name="analytics-cluster"
+----
+. When deployed, copy the external IP of the LoadBalancer to access Neo4j from an application outside the Kubernetes cluster.
+For more information, see xref:kubernetes/accessing-neo4j.adoc#access-outside-k8s[Applications accessing Neo4j from outside Kubernetes].
+. In a web browser, open the Neo4j Browser at _http://EXTERNAL_IP:7474/browser_ and log in using the password you have configured in your values YAML files.
+. Run the following Cypher query to verify that the cluster is deployed and running:
++
+[source, cypher]
+----
+SHOW SERVERS
+----
+. Run the following Cypher function to verify that the GDS library is installed:
++
+[source, cypher]
+----
+RETURN gds.version()
+----
+. Call `gds.isLicensed()` to verify that the GDS library is licensed:
++
+[source, cypher]
+----
+RETURN gds.isLicensed()
+----
++
+The returned value must be `true`.