kubectl desceribe pods spark-worker-0

gistfile1.txt

Name:           spark-worker-0
Namespace:      spark
Priority:       0
Node:           gke-fs-acc-europe-west3-gke-1-bfaf9a76-xw13/10.156.0.56
Start Time:     Thu, 12 Mar 2020 11:13:03 +0100
Labels:         app.kubernetes.io/component=worker
                app.kubernetes.io/instance=spark
                app.kubernetes.io/managed-by=Helm
                app.kubernetes.io/name=spark
                controller-revision-hash=spark-worker-7cc5d8b86f
                helm.sh/chart=spark-1.2.7
                statefulset.kubernetes.io/pod-name=spark-worker-0
Annotations:    <none>
Status:         Running
IP:             10.24.3.63
Controlled By:  StatefulSet/spark-worker
Containers:
  spark-worker:
    Container ID:   docker://f5dd1e28703c8abd7ed547c33740a3140f0aac7a8c49823661c81208189fb359
    Image:          docker.io/bitnami/spark:2.4.3
    Image ID:       docker-pullable://bitnami/spark@sha256:250f5a494427bd26fca0fb36bed1b3aec5532018b5394f50c9551a01cadbb8b3
    Port:           8081/TCP
    Host Port:      0/TCP
    State:          Running
      Started:      Thu, 12 Mar 2020 11:13:04 +0100
    Ready:          True
    Restart Count:  0
    Limits:
      cpu:     8
      memory:  16Gi
    Requests:
      cpu:      4
      memory:   4Gi
    Liveness:   http-get http://:8081/ delay=180s timeout=5s period=20s #success=1 #failure=6
    Readiness:  http-get http://:8081/ delay=30s timeout=5s period=10s #success=1 #failure=6
    Environment:
      SPARK_MODE:               worker
      BASH_DEBUG:               1
      SPARK_DAEMON_MEMORY:
      SPARK_WORKER_WEBUI_PORT:  8081
      SPARK_DAEMON_JAVA_OPTS:
      SPARK_MASTER_URL:         spark://spark-master-svc:7077
      SPARK_WORKER_OPTS:
      SPARK_DAEMON_MEMORY:      4g
    Mounts:
      /var/run/secrets/kubernetes.io/serviceaccount from default-token-kgkqf (ro)
Conditions:
  Type              Status
  Initialized       True
  Ready             True
  ContainersReady   True
  PodScheduled      True
Volumes:
  default-token-kgkqf:
    Type:        Secret (a volume populated by a Secret)
    SecretName:  default-token-kgkqf
    Optional:    false
QoS Class:       Burstable
Events:
  Type    Reason     Age    From                                                         Message
  ----    ------     ----   ----                                                         -------
  Normal  Scheduled  4m16s  default-scheduler                                            Successfully assigned spark/spark-worker-0 to gke-fs-acc-europe-west3-gke-1-bfaf9a76-xw13
  Normal  Pulled     4m15s  kubelet, gke-fs-acc-europe-west3-gke-1-adidas-bfaf9a76-xw13  Container image "docker.io/bitnami/spark:2.4.3" already present on machine
  Normal  Created    4m15s  kubelet, gke-fs-acc-europe-west3-gke-1-adidas-bfaf9a76-xw13  Created container spark-worker
  Normal  Started    4m15s  kubelet, gke-fs-acc-europe-west3-gke-1-adidas-bfaf9a76-xw13  Started container spark-worker