commit	0c42e47bc101043ba3930c5be4bbe517eb877bca	[log] [tgz]
author	Xiangkun Yin <32592585+ptyin@users.noreply.github.com>	Tue Feb 27 19:20:42 2024 +0800
committer	GitHub <noreply@github.com>	Tue Feb 27 19:20:42 2024 +0800
tree	75c50b82fb4768001af8d0d4deba2e53b4dfd6c6
parent	fe4f87a4d20961236bd499820d0275dc06414ab3 [diff]

tree: 75c50b82fb4768001af8d0d4deba2e53b4dfd6c6

README.md

seata-k8s

Associated Projects:

Method 1: Using Operator

Usage

To experience deploying Seata Server using the Operator method, follow these steps:

Clone this repository:

git clone https://github.com/apache/incubator-seata-k8s.git

(Optional) Build and publish the controller image to a private registry:
This step can be skipped, the operator use apache/seata-controller:latest as controller image by default.
```
IMG=${IMAGE-TO-PUSH} make docker-build docker-push
```
If you are using minikube for testing, you can skip the above publishing process with the following command:
```
eval $(minikube docker-env)
IMG=${IMAGE-TO-PUSH} make docker-build
```

Deploy Controller, CRD, RBAC, and other resources to the Kubernetes cluster:

make deploy
kubectl get deployment -n seata-k8s-controller-manager  # check if exists

You can now deploy your CR to the cluster. An example can be found here seata-server-cluster.yaml:
```
apiVersion: operator.seata.apache.org/v1alpha1
kind: SeataServer
metadata:
  name: seata-server
  namespace: default
spec:
  serviceName: seata-server-cluster
  replicas: 3
  image: seataio/seata-server:latest
  store:
    resources:
      requests:
        storage: 5Gi
```
For the example above, if everything is correct, the controller will deploy 3 StatefulSet resources and a Headless Service to the cluster. You can access the Seata Server cluster in the cluster through seata-server-0.seata-server-cluster.default.svc.

Reference

For CRD details, you can visit operator.seata.apache.org_seataservers.yaml. Here are some important configurations:

serviceName: Used to define the name of the Headless Service deployed by the controller. This will affect how you access the server cluster. In the example above, you can access the Seata Server cluster through seata-server-0.seata-server-cluster.default.svc.
replicas: Defines the number of Seata Server replicas. Adjusting this field achieves scaling without the need for additional HTTP requests to change the Seata raft cluster list.
image: Defines the Seata Server image name.
ports: Three ports need to be set under the ports property: consolePort, servicePort, and raftPort, with default values of 7091, 8091, and 9091, respectively.
resources: Used to define container resource requirements.
store.resources: Used to define mounted storage resource requirements.

env: Environment variables passed to the container. You can use this field to define Seata Server configuration. For example:

apiVersion: operator.seata.apache.org/v1alpha1
kind: SeataServer
metadata:
  name: seata-server
  namespace: default
spec:
  image: seataio/seata-server:latest
  store:
    resources:
      requests:
        storage: 5Gi
  env:
    console.user.username: seata
    console.user.password: seata

Method 2: Example without Using Operator

Due to certain reasons, Seata Docker images currently do not support external container calls. Therefore, the example projects should also be kept in link mode with the Seata image inside the container.

# Start Seata deployment (nacos,seata,mysql)
kubectl create -f deploy/seata-deploy.yaml
# Start Seata service (nacos,seata,mysql)
kubectl create -f deploy/seata-service.yaml
# Get a NodePort IP (kubectl get service)
# Modify the IP in examples/examples-deploy for DNS addressing
# Connect to MySQL and import table structure
# Start example deployment (samples-account,samples-storage)
kubectl create -f example/example-deploy.yaml
# Start example service (samples-account,samples-storage)
kubectl create -f example/example-service.yaml
# Start order deployment (samples-order)
kubectl create -f example/example-deploy.yaml
# Start order service (samples-order)
kubectl create -f example/example-service.yaml
# Start business deployment (samples-dubbo-business-call)
kubectl create -f example/business-deploy.yaml
# Start business deployment (samples-dubbo-service-call)
kubectl create -f example/business-service.yaml

Open the Nacos console in your browser [http://localhost:8848/nacos/] to check if all instances are registered successfully.

Testing

# Account service - Deduct amount
curl -H "Content-Type: application/json" -X POST --data "{\"id\":1,\"userId\":\"1\",\"amount\":100}" cluster-ip:8102/account/dec_account
# Storage service - Deduct stock
curl -H "Content-Type: application/json" -X POST --data "{\"commodityCode\":\"C201901140001\",\"count\":100}" cluster-ip:8100/storage/dec_storage
# Order service - Add order and deduct amount
curl -H "Content-Type: application/json" -X POST --data "{\"userId\":\"1\",\"commodityCode\":\"C201901140001\",\"orderCount\":10,\"orderAmount\":100}" cluster-ip:8101/order/create_order
# Business service - Client Seata version too low
curl -H "Content-Type: application/json" -X POST --data "{\"userId\":\"1\",\"commodityCode\":\"C201901140001\",\"count\":10,\"amount\":100}" cluster-ip:8104/business/dubbo/buy