apiVersion: api/v1
kind: Plan
name: cdc-kafka-broker-failure
schedule: "@daily"
tags: ["cdc"]
testbed:
  generateName: cdc-testbed-
  reclaimPolicy:
    gcStrategy:
      onFailure:
        artifact:
          monitor: true
          log: true
        reserveEnv:
          durationOnWorkingHour: "{{meta.parameters.onFailureReserveDurationOnWorkingHour}}"
        notification:
          feishu: https://open.feishu.cn/open-apis/bot/v2/hook/4f6c6406-c963-4d52-8641-cca17aa734e9
  items:
  - name: upstream
    type: TIDB_CLUSTER
    spec:
      imagePullPolicy: Always
      pd:
        replicas: 1
        requests:
          cpu: 1000m
          memory: 4Gi
        limits:
          cpu: 1000m
          memory: 4Gi
        baseImage: '{{meta.parameters.pd_base_image}}'
        version: '{{meta.parameters.pd_component_version}}'
      tikv:
        storageClassName: fast-disks
        replicas: 1
        requests:
          cpu: 8000m
          memory: 16Gi
        limits:
          cpu: 8000m
          memory: 16Gi
        baseImage: '{{meta.parameters.tikv_base_image}}'
        version: '{{meta.parameters.tikv_component_version}}'
      tidb:
        replicas: 1
        requests:
          cpu: 8000m
          memory: 16Gi
        limits:
          cpu: 8000m
          memory: 16Gi
        baseImage: '{{meta.parameters.tidb_base_image}}'
        version: '{{meta.parameters.tidb_component_version}}'
      ticdc:
        replicas: 2
        requests:
          cpu: 8000m
          memory: 16Gi
        limits:
          cpu: 8000m
          memory: 16Gi
        baseImage: '{{meta.parameters.ticdc_base_image}}'
        version: '{{meta.parameters.ticdc_component_version}}'
      version: '{{meta.parameters.base_image_version}}'
  - name: downstream
    type: KAFKA_CLUSTER
    spec:
      zkspec:
        replicas: 1
        image: "{{meta.parameters.zookeeper_image}}"
        resources:
          requests:
            memory: 4Gi
            cpu: 4000m
            storage: 10Gi
      kafkaspec:
        replicas: 3
        imagePullPolicy: IfNotPresent
        image: "{{meta.parameters.kafka_server_image}}"
        storageClassName: fast-disks
        command:
        - "sh"
        - "-c"
        - "kafka-server-start.sh /opt/bitnami/kafka/config/server.properties --override broker.id=${HOSTNAME##*-}\
          \ --override listeners=PLAINTEXT://:9092 --override zookeeper.connect=$ZK_CONNECT\
          \ --override log.dir=/var/lib/kafka\
          \ --override offsets.topic.replication.factor=2"
        env:
          KAFKA_HEAP_OPTS: "-Xmx512M -Xms512M -XX:ParallelGCThreads=1"
          KAFKA_OPTS: "-Dlogging.level=INFO"
        resources:
          requests:
            memory: 4Gi
            cpu: 4000m
            storage: 100Gi
  - name: workload
    type: WORKLOAD_NODE
    spec:
      container:
        name: sysbench
        image: "{{meta.parameters.bench_toolset_image}}"
        command:
        - tail
        - "-f"
        - /dev/null
        resources:
          requests:
            memory: 4Gi
            cpu: 4000m
        volumeMount:
          mountPath: "/var/lib/mysql"
  - name: consumer
    type: WORKLOAD_NODE
    spec:
      artifact:
        artifactPaths: # 测试结束后会打包的目录, 每个目录一个 tarball 传到 minio
          - /cdc_kafka_consumer.log
      container:
        name: consumer
        image: "{{meta.parameters.kafka_consumer_image}}"
        command:
        - tail
        - "-f"
        - "/dev/null"
        resource:
          requests:
            memory: 8Gi
            cpu: 4000m
  - name: target
    type: MYSQL_NODE
    spec:
      image: "{{meta.parameters.mysql_image}}"
      port: 3306
      env:
        MYSQL_ALLOW_EMPTY_PASSWORD: "yes"
        MYSQL_ROOT_HOST: "%"
      resources:
        requests:
          memory: 4Gi
          cpu: 4000m
          storage: 50Gi
      storageClassName: fast-disks
      volumeMount:
        mountPath: "/var/lib/mysql"         # mountPath of "storage" request

steps:
- name: kafka-random-broker-fail
  caseName: kafka_random_broker_fail
  arguments:
  - name: upstream
    value: "{{testbed.upstream}}"
  - name: downstream
    value: "{{testbed.downstream}}"
  - name: workload
    value: "{{testbed.workload}}"
  - name: consumer
    value: "{{testbed.consumer}}"
  - name: target
    value: "{{testbed.target}}"
