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Version: 1.1.0

Using a9s Search

This chapter describes how to interact with a9s Search using the Kubernetes API.

Pre-requisite

Choose your Kubernetes Environment

As a developer, you have the flexibility to choose between using an existing Kubernetes cluster or creating a new one for your testing and development needs.

If you choose to create a new cluster on your development machine, you can use kind for this purpose. Simply execute the following command:

kind create cluster --name=consumer-cluster
note

This cluster, referred to as the consumer cluster, does not run anything special; its true power lies in its seamless integration with a9s Data Services. Developers can effortlessly interact with the Data Services using Kubernetes Custom Resources provided by the a9s Kubernetes API.

Create Bindings to Data Services

note

Prior to creating new bindings, it is essential to confirm that they do not already exist. This verification process helps avoid unnecessary execution of commands. To ascertain the presence of bindings, please execute the following commands within a terminal session connected to your designated Kubernetes cluster.

kubectl get searchinstances.anynines.com

kubectl get servicebindings.anynines.com

kubectl get backups.anynines.com

kubectl get restores.anynines.com

If bindings exist you should not get the following error

error: the server doesn't have a resource type "<resource-name>"

If there are no existing bindings from the tenant cluster to a9s Data Services, you can create them by following the provided instructions.

Binding a Tenant Cluster

We use kube-bind to bind a9s Kubernetes API into tenant cluster.

In order to utilize the kubectl bind command, you'll need to have the kubectl-bind binary installed and properly added to your system's path.

Download the appropriate kubectl-bind binary for your system's architecture from the provided options:

Download links:

Open the folder to where you downloaded the file and open a terminal window

I. Create a new directory to add to your PATH environment variable

 mkdir <installation-directory>/bin

II. Give the folder executable permission

chmod 755 <installation-directory>/bin

III. Copy the binary to the newly created folder

cp ./kubectl-bind <installation-directory>/bin

IV. Add the path to PATH environment variable

export PATH=$PATH:<installation-directory>/bin

V. If everything is configured correctly you should see some output when you run the following command

kubectl bind
caution

When running the command above, you might encounter the error message:

'kubectl-bind' can't be opened because Apple cannot check it for malicious software.

To resolve this error, you can follow the instructions provided here.


  1. Replace <A9S-BIND-BACKEND-URL> with the domain provided to you by the platform operators.

    kubectl bind http://<A9S-BIND-BACKEND-URL>:443/export --konnector-image=public.ecr.aws/w5n9a2g2/anynines/konnector:v0.4.0-pre-release3
  2. Authenticate with provided URL using your OIDC credentials. Grant access in browser and respond Yes in the terminal to grant required access. Bind one at a time by using kubectl bind and logging into the browser.

    You can select the service to bind by using the web UI, as shown in the following image:

    Bind an a9s Data Service using the web UI

You are now all set to apply Kubernetes Custom Resources supported by the a9s Kubernetes API.

Create a Search Service Instance

To provision a Search, apply a Service Instance Claim. Before applying the Service Instance Claim, make sure to configure the required fields: service and plan.

The supported values for service and plan can be found in the following tables:

Supported Services

Service nameDescription
a9s-search2a9s Search 2

Supported Plans

Plan nameDescription
search-cluster-small-sslA cluster of 3 nodes with small resources.
search-cluster-medium-sslA cluster of 3 nodes with medium resources.
search-cluster-big-sslA cluster of 3 nodes with big resources.
search-single-nano-sslA single node with nano resources.
search-single-small-sslA single node with small resources.
search-single-medium-sslA single node with medium resources.
search-single-big-sslA single node with big resources.

Create a Search Kubernetes Object

To set up a Search Kubernetes Object, simply replace the placeholder values denoted by < > in the provided yaml. Kindly select one of the supported values for spec.service and spec.plan.

Optional: To set up a clustered Search with small specifications, apply the yaml manifest provided in the Example tab below. Feel free to modify the fields in order to create a Data Service tailored to your requirements.

  apiVersion: anynines.com/v1
kind: SearchInstance
metadata:
name: <name>
namespace: <namespace>
spec:
service: <service-name>
plan: <plan-name>
compositionRef:
name: a9s-search

Applying this Kubernetes yaml manifest is as straightforward as working with any default Kubernetes resource.

kubectl apply -f <filename.yaml>

After applying the manifest, please allow some time for the remote resources to be deployed. If you've deployed the provided example, you should observe an output similar to the following:

kubectl get searchinstances.anynines.com
NAME                          SYNCED   READY   CONNECTION-SECRET   AGE
example-search-instance True True 9m

You can also obtain additional information about the status of Search Objects using the following command:

kubectl describe searchinstances.anynines.com
Name:         example-search-instance
Namespace: default
...
Status:
Conditions:
Last Transition Time: 2023-08-07T09:57:49Z
Reason: ReconcileSuccess
Status: True
Type: Synced
Last Transition Time: 2023-08-07T10:04:11Z
Reason: Available
Status: True
Type: Ready
Managed:
Conditions:
Last Transition Time: 2023-08-07T09:57:50Z
Reason: ReconcileSuccess
Status: True
Type: Synced
Last Transition Time: 2023-08-07T10:04:00Z
Reason: Available
Status: True
Type: Ready
Created At: 2023-08-07T09:57:50.556Z
Provisioned At: 2023-08-07T10:03:40.445Z
State: provisioned
Updated At: 2023-08-07T10:03:40.500Z
info

No Search pod is running locally in the consumer cluster.

Behind the scenes the Custom Resources synced up to the a9s Data Service platform which ensures the database is provisioned and healthy. The status information reflecting the database status synced back to the tenant cluster to signify service readiness.

Bind an Application to a Search Database

The ServiceBinding Custom Resource is all that you need to quickly start using the database. To target a specific Search instance, set the spec.instanceRef field.

Optional: If you've followed the example from the previous step, where we create a Search Kubernetes Object, you can now proceed to apply the yaml manifest provided in the Example tab below. This will bind the previously created Search instance.

  apiVersion: anynines.com/v1
kind: ServiceBinding
metadata:
name: <name>
namespace: <namespace>
spec:
instanceRef: <search-instance-name>
serviceInstanceType: search
compositionRef:
name: a9s-servicebinding

After a few seconds, the ServiceBinding will be ready. You can then access the credentials and network details required for database connectivity by describing the Secret that was automatically created. The Data Service automation generates a Secret, named {service-binding-name}-creds, in the same namespace as the ServiceBinding.

For instance, if you have already applied the provided examples, upon the successful deployment of the ServiceBinding, you can access credentials and network details by describing the corresponding Kubernetes Secret using the following command:

kubectl get secret sample-search-servicebinding-creds -o yaml
apiVersion: v1
data:
cacrt: <base64 encoded value>
host: <base64 encoded value>
hosts: <base64 encoded value>
password: <base64 encoded value>
port: <base64 encoded value>
scheme: <base64 encoded value>
username: <base64 encoded value>
...

Backup a Search Database

The a9s platform provides an easy way to create backups and restore if needed. You can use the Kubernetes Custom Resource Backup from the API group anynines.com to create backups of Data Service Instances. To do this, simply target the specific Data Service Instance you want to back up, as shown in the following yaml manifest:

  apiVersion: anynines.com/v1
kind: Backup
metadata:
name: <name>
namespace: <namespace>
spec:
instanceRef: <search-instance-name>
serviceInstanceType: search
compositionRef:
name: a9s-backup

And then apply the yaml manifest:

kubectl apply -f <filename.yaml>

You can inspect the status of the backup to determine when it is complete, similar to how we did it for the Search instance, using the following command:

kubectl get backup.anynines.com -o yaml

You can observe the status transition from queued to done as the backup process completes.

apiVersion: anynines.com/v1
kind: Backup
...
status:
...
managed:
...
status: queued
apiVersion: anynines.com/v1
kind: Backup
...
status:
...
managed:
...
size: 736
status: done

Restore a Search Database Backup

To restore a backup, you must apply a Restore from the API group anynines.com, targeting an existing Search Backup. Below is the yaml file you can utilize for this purpose:

  apiVersion: anynines.com/v1
kind: Restore
metadata:
name: <name>
spec:
backupRef: <backup-name>
serviceInstanceType: search
compositionRef:
name: a9s-restore

And then apply the yaml manifest:

kubectl apply -f <filename.yaml>

You can observe the state transition from queued to running and done as the restore completes.

kubectl get restore.anynines.com -o yaml
apiVersion: v1
items:
- apiVersion: anynines.com/v1
kind: Restore
...
status:
...
managed:
...
state: queued
apiVersion: v1
items:
- apiVersion: anynines.com/v1
kind: Restore
...
status:
...
managed:
...
state: done

Delete a9s Kubernetes Custom Resources

Delete the Custom Resources using the kubectl delete command. Replace <resource-type> with the actual resource type and <resource-name> with the name of the Custom Resource you want to delete.

kubectl delete <resource-type> <resource-name>

Alternatively, you can use the following command to delete Custom Resources by specifying the filename of the yaml manifest:

kubectl delete -f <filename.yaml>

Coming soon

a9s Search offers a range of features that will soon be supported for a9s Search through Kubernetes integration. See the following table for a summary of these upcoming features.

FeatureDescription
MetricsMonitor, collect, and manage metrics for comprehensive insights into the service.
LoggingStream log data to a third-party service for centralized log management and analysis.
Disk Usage AlertsCreate disk usage alerts to be notified when ephemeral or persistent disk usage exceeds a certain threshold.
OpenSearch Settings ConfigurationConfigure advanced OpenSearch settings such as TLS protocol version, and cipher suites.
OpenSearch pluginsExtend the functionality of a9s Search with OpenSearch plugins, such as analysis-phonetic for phonetic analysis.
Service Migration and ManagementMigrate data to another Search instance. View service listings and initiate Data Service restarts as needed.