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Manage Qdrant with KubeBlocks

The popularity of generative AI (Generative AI) has aroused widespread attention and completely ignited the vector database (Vector Database) market. Qdrant (read: quadrant) is a vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points—vectors with an additional payload Qdrant is tailored to extended filtering support. It makes it useful for all sorts of neural-network or semantic-based matching, faceted search, and other applications.

KubeBlocks supports the management of Qdrant.

Before you start

Create a cluster

Steps

  1. Execute the following command to create a Qdrant cluster.

    kbcli cluster create qdrant --cluster-definition=qdrant

    If you want to create a Qdrant cluster with multiple replicas. Use the following command and set the replica numbers.

    kbcli cluster create qdrant --cluster-definition=qdrant --set replicas=3
note

View more flags for creating a cluster to create a cluster with customized specifications.

kbcli cluster create --help
  1. Check whether the cluster is created.

    kbcli cluster list
    >
    NAME NAMESPACE CLUSTER-DEFINITION VERSION TERMINATION-POLICY STATUS CREATED-TIME
    qdrant default qdrant qdrant-1.8.1 Delete Running Aug 15,2023 23:03 UTC+0800
  2. Check the cluster information.

    kbcli cluster describe qdrant
    >
    Name: qdrant Created Time: Aug 15,2023 23:03 UTC+0800
    NAMESPACE CLUSTER-DEFINITION VERSION STATUS TERMINATION-POLICY
    default qdrant qdrant-1.8.1 Running Delete

    Endpoints:
    COMPONENT MODE INTERNAL EXTERNAL
    qdrant ReadWrite qdrant-qdrant.default.svc.cluster.local:6333 <none>
    qdrant-qdrant.default.svc.cluster.local:6334

    Topology:
    COMPONENT INSTANCE ROLE STATUS AZ NODE CREATED-TIME
    qdrant qdrant-qdrant-0 <none> Running <none> x-worker3/172.20.0.3 Aug 15,2023 23:03 UTC+0800
    qdrant qdrant-qdrant-1 <none> Running <none> x-worker2/172.20.0.5 Aug 15,2023 23:03 UTC+0800
    qdrant qdrant-qdrant-2 <none> Running <none> x-worker/172.20.0.2 Aug 15,2023 23:04 UTC+0800

    Resources Allocation:
    COMPONENT DEDICATED CPU(REQUEST/LIMIT) MEMORY(REQUEST/LIMIT) STORAGE-SIZE STORAGE-CLASS
    qdrant false 1 / 1 1Gi / 1Gi data:20Gi standard

    Images:
    COMPONENT TYPE IMAGE
    qdrant qdrant docker.io/qdrant/qdrant:latest

    Data Protection:
    AUTO-BACKUP BACKUP-SCHEDULE TYPE BACKUP-TTL LAST-SCHEDULE RECOVERABLE-TIME
    Disabled <none> <none> 7d <none> <none>

    Show cluster events: kbcli cluster list-events -n default qdrant

Connect to a Qdrant cluster

Qdrant provides both HTTP and gRPC protocols for client access on ports 6333 and 6334 respectively. Depending on where the client is, different connection options are offered to connect to the Qdrant cluster.

note

If your cluster is on AWS, install the AWS Load Balancer Controller first.

  • If your client is inside a K8s cluster, run kbcli cluster describe qdrant to get the ClusterIP address of the cluster or the corresponding K8s cluster domain name.
  • If your client is outside the K8s cluster but in the same VPC as the server, run kbcli cluster expose qdrant --enable=true --type=vpc to get a VPC load balancer address for the database cluster.
  • If your client is outside the VPC, run kbcli cluster expose qdrant --enable=true --type=internet to open a public network reachable address for the database cluster.

Monitor the database

For the testing environment, you can run the command below to open the Grafana monitor web page.

  1. View all built-in addons and make sure the monitoring addons are enabled. If the monitoring addons are not enabled, enable these addons first.

    # View all addons supported
    kbcli addon list
    ...
    grafana Helm Enabled true
    alertmanager-webhook-adaptor Helm Enabled true
    prometheus Helm Enabled alertmanager true
    ...
  2. Check whether the monitoring function of the cluster is enabled. If the monitoring function is enabled, the output shows disableExporter: false.

    kubectl get cluster qdrant -o yaml
    >
    apiVersion: apps.kubeblocks.io/v1alpha1
    kind: Cluster
    metadata:
    ......
    spec:
    ......
    componentSpecs:
    ......
    disableExporter: false

    If disableExporter: false is not shown in the output, it means the monitoring function of this cluster is not enabled and you need to enable it first.

    kbcli cluster update qdrant --disable-exporter=false
  3. View the dashboard list.

    kbcli dashboard list
    >
    NAME NAMESPACE PORT CREATED-TIME
    kubeblocks-grafana kb-system 13000 Jul 24,2023 11:38 UTC+0800
    kubeblocks-prometheus-alertmanager kb-system 19093 Jul 24,2023 11:38 UTC+0800
    kubeblocks-prometheus-server kb-system 19090 Jul 24,2023 11:38 UTC+0800
  4. Open and view the web console of a monitoring dashboard. For example,

    kbcli dashboard open kubeblocks-grafana

For the production environment, it is highly recommended to build your monitoring system or purchase a third-party monitoring service and you can refer to the monitoring document for details.

Scale

The scaling function for vector databases is also supported.

Scale horizontally

Horizontal scaling changes the amount of pods. For example, you can scale out replicas from three to five.

From v0.9.0, besides replicas, KubeBlocks also supports scaling in and out instances, refer to Horizontal Scale in API docs for more details and examples.

Before you start

Check whether the cluster status is Running. Otherwise, the following operations may fail.

kbcli cluster list qdrant
>
NAME CLUSTER-DEFINITION VERSION TERMINATION-POLICY STATUS AGE
qdrant qdrant qdrant-1.8.1 Delete Running 47m

Steps

Use the following command to perform horizontal scaling.

kbcli cluster hscale qdrant --replicas=5 --components=qdrant
  • --components describes the component name ready for horizontal scaling.
  • --replicas describes the replica amount of the specified components. Edit the amount based on your demands to scale in or out replicas.

Please wait a few seconds until the scaling process is over.

The kbcli cluster hscale command print the opsname, to check the progress of horizontal scaling, you can use the following command with the opsname.

kubectl get ops qdrant-horizontalscaling-xpdwz
>
NAME TYPE CLUSTER STATUS PROGRESS AGE
qdrant-horizontalscaling-xpdwz HorizontalScaling qdrant Running 0/2 16s

To check whether the scaling is done, use the following command.

kbcli cluster describe qdrant

Scale vertically

You can vertically scale a cluster by changing resource requirements and limits (CPU and storage). For example, you can change the resource class from 1C2G to 2C4G by performing vertical scaling.

Before you start

Check whether the cluster status is Running. Otherwise, the following operations may fail.

kbcli cluster list qdrant
>
NAME CLUSTER-DEFINITION VERSION TERMINATION-POLICY STATUS AGE
qdrant qdrant qdrant-1.8.1 Delete Running 47m

Steps

Use the following command to perform vertical scaling.

kbcli cluster vscale qdrant --cpu=0.5 --memory=512Mi --components=qdrant 

Please wait a few seconds until the scaling process is over.

The kbcli cluster vscale command prints a command to help check the progress of scaling.

kubectl get ops qdrant-verticalscaling-rpw2l
>
NAME TYPE CLUSTER STATUS PROGRESS AGE
qdrant-verticalscaling-rpw2l VerticalScaling qdrant Running 1/5 44s

To check whether the scaling is done, use the following command.

kbcli cluster describe qdrant

Volume Expansion

Steps:

kbcli cluster volume-expand qdrant --storage=40Gi --components=qdrant -t data

The volume expansion may take a few minutes.

The kbcli cluster volume-expand command print the opsname, to check the progress of volume expanding, you can use the following command with the opsname.

kubectl get ops qdrant-volumeexpansion-5pbd2
>
NAME TYPE CLUSTER STATUS PROGRESS AGE
qdrant-volumeexpansion-5pbd2 VolumeExpansion qdrant Running 1/1 67s

To check whether the expanding is done, use the following command.

kbcli cluster describe qdrant

Restart

  1. Restart a cluster.

    Configure the values of components and ttlSecondsAfterSucceed and run the command below to restart a specified cluster.

    kbcli cluster restart qdrant --components="qdrant" \
    --ttlSecondsAfterSucceed=30
    • components describes the component name that needs to be restarted.
    • ttlSecondsAfterSucceed describes the time to live of an OpsRequest job after the restarting succeeds.
  2. Validate the restarting.

    Run the command below to check the cluster status to check the restarting status.

    kbcli cluster list qdrant
    >
    NAME NAMESPACE CLUSTER-DEFINITION VERSION TERMINATION-POLICY STATUS CREATED-TIME
    qdrant default qdrant qdrant-1.8.1 Delete Running Aug 15,2023 23:03 UTC+0800
    • STATUS=Updating: it means the cluster restart is in progress.
    • STATUS=Running: it means the cluster has been restarted.

Stop/Start a cluster

You can stop/start a cluster to save computing resources. When a cluster is stopped, the computing resources of this cluster are released, which means the pods of Kubernetes are released, but the storage resources are reserved. You can start this cluster again by snapshots if you want to restore the cluster resources.

Stop a cluster

  1. Configure the name of your cluster and run the command below to stop this cluster.

    kbcli cluster stop qdrant
  2. Check the status of the cluster to see whether it is stopped.

    kbcli cluster list

Start a cluster

  1. Configure the name of your cluster and run the command below to start this cluster.

    kbcli cluster start qdrant
  2. Check the status of the cluster to see whether it is running again.

    kbcli cluster list

Backup and restore

The backup and restore operations for Qdrant are the same as those of other clusters and you can refer to the backup and restore documents for details. Remember to use --method parameter.