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171 lines
6.2 KiB
Markdown
171 lines
6.2 KiB
Markdown
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# Using KubeBlocks to Deploy and Manage Databases
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Learn how to quickly deploy and manage various databases in a Kubernetes (K8s) environment through KubeBlocks.
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## Introduction to KubeBlocks
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KubeBlocks is a production-ready, open-source toolkit that runs any database--SQL, NoSQL, vector, or document--on Kubernetes.
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It scales smoothly from quick dev tests to full production clusters, making it a solid choice for RAG workloads like FastGPT that need several data stores working together.
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## Prerequisites
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Make sure the following tools are installed and configured:
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* **Kubernetes cluster**
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* A running Kubernetes cluster is required.
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* For local development or demos you can use [Minikube](https://minikube.sigs.k8s.io/docs/start/) (needs ≥ 2 CPUs, ≥ 4 GB RAM, and Docker/VM-driver support).
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* Any standard cloud or on-premises Kubernetes cluster (EKS, GKE, AKS, etc.) also works.
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* **kubectl**
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* The Kubernetes command-line interface.
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* Follow the official guide: [Install and Set Up kubectl](https://kubernetes.io/docs/tasks/tools/#kubectl).
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* **Helm** (v3.x+)
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* Kubernetes package manager used by the scripts below.
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* Install it via the official instructions: [Installing Helm](https://helm.sh/docs/intro/install/).
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## Installing
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1. **Configure the databases you want**
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Edit `00-config.sh` file. Based on your requirements, set the variable to `true` for the databases you want to install.
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For example, to install PostgreSQL and Neo4j:
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```bash
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ENABLE_POSTGRESQL=true
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ENABLE_REDIS=false
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ENABLE_ELASTICSEARCH=false
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ENABLE_QDRANT=false
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ENABLE_MONGODB=false
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ENABLE_NEO4J=true
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```
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2. **Prepare the environment and install KubeBlocks add-ons**
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```bash
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bash ./01-prepare.sh
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```
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*What the script does*
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`01-prepare.sh` performs basic pre-checks (Helm, kubectl, cluster reachability), adds the KubeBlocks Helm repo, and installs any core CRDs or controllers that KubeBlocks itself needs. It also installs the addons for every database you enabled in `00-config.sh`, but **does not** create the actual database clusters yet.
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3. **(Optional) Modify database settings**
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Before deployment you can edit the `values.yaml` file inside each `<db>/` directory to change `version`, `replicas`, `CPU`, `memory`, `storage size`, etc.
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4. **Install the database clusters**
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```bash
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bash ./02-install-database.sh
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```
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*What the script does*
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`02-install-database.sh` **actually deploys the chosen databases to Kubernetes**.
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When the script completes, confirm that the clusters are up. It may take a few minutes for all the clusters to become ready,
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especially if this is the first time running the script as Kubernetes needs to pull container images from registries.
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You can monitor the progress using the following commands:
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```bash
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kubectl get clusters -n rag
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NAME CLUSTER-DEFINITION TERMINATION-POLICY STATUS AGE
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es-cluster Delete Running 11m
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mongodb-cluster mongodb Delete Running 11m
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pg-cluster postgresql Delete Running 11m
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qdrant-cluster qdrant Delete Running 11m
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redis-cluster redis Delete Running 11m
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```
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You can see all the Database `Pods` created by KubeBlocks.
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Initially, you might see pods in `ContainerCreating` or `Pending` status - this is normal while images are being pulled and containers are starting up.
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Wait until all pods show `Running` status:
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```bash
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kubectl get po -n rag
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NAME READY STATUS RESTARTS AGE
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es-cluster-mdit-0 2/2 Running 0 11m
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mongodb-cluster-mongodb-0 2/2 Running 0 11m
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pg-cluster-postgresql-0 4/4 Running 0 11m
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pg-cluster-postgresql-1 4/4 Running 0 11m
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qdrant-cluster-qdrant-0 2/2 Running 0 11m
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redis-cluster-redis-0 2/2 Running 0 11m
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```
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You can also check the detailed status of a specific pod if it's taking longer than expected:
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```bash
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kubectl describe pod <pod-name> -n rag
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```
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## Connect to Databases
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To connect to your databases, follow these steps to identify available accounts, retrieve credentials, and establish connections:
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### 1. List Available Database Clusters
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First, view the database clusters running in your namespace:
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```bash
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kubectl get cluster -n rag
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```
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### 2. Retrieve Authentication Credentials
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For PostgreSQL, retrieve the username and password from Kubernetes secrets:
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```bash
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# Get PostgreSQL username
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kubectl get secrets -n rag pg-cluster-postgresql-account-postgres -o jsonpath='{.data.username}' | base64 -d
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# Get PostgreSQL password
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kubectl get secrets -n rag pg-cluster-postgresql-account-postgres -o jsonpath='{.data.password}' | base64 -d
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```
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If you have trouble finding the correct secret name, list all secrets:
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```bash
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kubectl get secrets -n rag
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```
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### 3. Port Forward to Local Machine
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Use port forwarding to access PostgreSQL from your local machine:
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```bash
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# Forward PostgreSQL port (5432) to your local machine
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# You can see all services with: kubectl get svc -n rag
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kubectl port-forward -n rag svc/pg-cluster-postgresql-postgresql 5432:5432
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```
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### 4. Connect Using Database Client
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Now you can connect using your preferred PostgreSQL client with the retrieved credentials:
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```bash
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# Example: connecting with psql
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export PGUSER=$(kubectl get secrets -n rag pg-cluster-postgresql-account-postgres -o jsonpath='{.data.username}' | base64 -d)
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export PGPASSWORD=$(kubectl get secrets -n rag pg-cluster-postgresql-account-postgres -o jsonpath='{.data.password}' | base64 -d)
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psql -h localhost -p 5432 -U $PGUSER
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```
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Keep the port-forwarding terminal running while you're connecting to the database.
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## Uninstalling
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1. **Remove the database clusters**
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```bash
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bash ./03-uninstall-database.sh
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```
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The script deletes the database clusters that were enabled in `00-config.sh`.
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2. **Clean up KubeBlocks add-ons**
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```bash
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bash ./04-cleanup.sh
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```
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This removes the addons installed by `01-prepare.sh`.
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## Reference
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* [Kubeblocks Documentation](https://kubeblocks.io/docs/preview/user_docs/overview/introduction)
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