Helm-charts: elastic/helm-charts/elasticsearch: Readiness probe failed: Waiting for elasticsearch cluster to become ready

Created on 14 Aug 2020  路  14Comments  路  Source: elastic/helm-charts

Chart version:
7.7.1
Kubernetes version:
1.16
Kubernetes provider: E.g. GKE (Google Kubernetes Engine)
EKS
Helm Version:
2.16.10

helm get release output

e.g. helm get elasticsearch (replace elasticsearch with the name of your helm release)

Be careful to obfuscate every secrets (credentials, token, public IP, ...) that could be visible in the output before copy-pasting.

If you find some secrets in plain text in helm get release output you should use Kubernetes Secrets to managed them is a secure way (see Security Example).


Output of helm get release

$ helm get elasticsearch
REVISION: 1
RELEASED: Fri Aug 14 14:15:21 2020
CHART: elasticsearch-7.7.1
USER-SUPPLIED VALUES:
{}

COMPUTED VALUES:
antiAffinity: hard
antiAffinityTopologyKey: kubernetes.io/hostname
clusterHealthCheckParams: wait_for_status=green&timeout=1s
clusterName: elasticsearch
envFrom: []
esConfig: {}
esJavaOpts: -Xmx1g -Xms1g
esMajorVersion: ""
extraContainers: []
extraEnvs: []
extraInitContainers: []
extraVolumeMounts: []
extraVolumes: []
fsGroup: ""
fullnameOverride: ""
httpPort: 9200
image: docker.elastic.co/elasticsearch/elasticsearch
imagePullPolicy: IfNotPresent
imagePullSecrets: []
imageTag: 7.7.1
ingress:
  annotations: {}
  enabled: false
  hosts:
  - chart-example.local
  path: /
  tls: []
initResources: {}
keystore: []
labels: {}
lifecycle: {}
masterService: ""
masterTerminationFix: false
maxUnavailable: 1
minimumMasterNodes: 1
nameOverride: ""
networkHost: 0.0.0.0
nodeAffinity: {}
nodeGroup: master
nodeSelector: {}
persistence:
  annotations: {}
  enabled: true
podAnnotations: {}
podManagementPolicy: Parallel
podSecurityContext:
  fsGroup: 1000
  runAsUser: 1000
podSecurityPolicy:
  create: false
  name: ""
  spec:
    fsGroup:
      rule: RunAsAny
    privileged: true
    runAsUser:
      rule: RunAsAny
    seLinux:
      rule: RunAsAny
    supplementalGroups:
      rule: RunAsAny
    volumes:
    - secret
    - configMap
    - persistentVolumeClaim
priorityClassName: ""
protocol: http
rbac:
  create: false
  serviceAccountName: ""
readinessProbe:
  failureThreshold: 3
  initialDelaySeconds: 10
  periodSeconds: 10
  successThreshold: 3
  timeoutSeconds: 5
replicas: 1
resources:
  limits:
    cpu: 1000m
    memory: 2Gi
  requests:
    cpu: 1000m
    memory: 2Gi
roles:
  data: "true"
  ingest: "true"
  master: "true"
schedulerName: ""
secretMounts: []
securityContext:
  capabilities:
    drop:
    - ALL
  runAsNonRoot: true
  runAsUser: 1000
service:
  annotations: {}
  httpPortName: http
  labels: {}
  labelsHeadless: {}
  loadBalancerIP: ""
  loadBalancerSourceRanges: []
  nodePort: ""
  transportPortName: transport
  type: ClusterIP
sidecarResources: {}
sysctlInitContainer:
  enabled: true
sysctlVmMaxMapCount: 262144
terminationGracePeriod: 120
tolerations: []
transportPort: 9300
updateStrategy: RollingUpdate
volumeClaimTemplate:
  accessModes:
  - ReadWriteOnce
  resources:
    requests:
      storage: 30Gi

HOOKS:
---
# elasticsearch-lgztd-test
apiVersion: v1
kind: Pod
metadata:
  name: "elasticsearch-lgztd-test"
  annotations:
    "helm.sh/hook": test-success
spec:
  securityContext:
    fsGroup: 1000
    runAsUser: 1000

  containers:
  - name: "elasticsearch-ctvif-test"
    image: "docker.elastic.co/elasticsearch/elasticsearch:7.7.1"
    command:
      - "sh"
      - "-c"
      - |
        #!/usr/bin/env bash -e
        curl -XGET --fail 'elasticsearch-master:9200/_cluster/health?wait_for_status=green&timeout=1s'
  restartPolicy: Never
MANIFEST:

---
# Source: elasticsearch/templates/poddisruptionbudget.yaml
apiVersion: policy/v1beta1
kind: PodDisruptionBudget
metadata:
  name: "elasticsearch-master-pdb"
spec:
  maxUnavailable: 1
  selector:
    matchLabels:
      app: "elasticsearch-master"
---
# Source: elasticsearch/templates/service.yaml
kind: Service
apiVersion: v1
metadata:
  name: elasticsearch-master
  labels:
    heritage: "Tiller"
    release: "elasticsearch"
    chart: "elasticsearch"
    app: "elasticsearch-master"
  annotations:
    {}

spec:
  type: ClusterIP
  selector:
    heritage: "Tiller"
    release: "elasticsearch"
    chart: "elasticsearch"
    app: "elasticsearch-master"
  ports:
  - name: http
    protocol: TCP
    port: 9200
  - name: transport
    protocol: TCP
    port: 9300
---
# Source: elasticsearch/templates/service.yaml
kind: Service
apiVersion: v1
metadata:
  name: elasticsearch-master-headless
  labels:
    heritage: "Tiller"
    release: "elasticsearch"
    chart: "elasticsearch"
    app: "elasticsearch-master"
  annotations:
    service.alpha.kubernetes.io/tolerate-unready-endpoints: "true"
spec:
  clusterIP: None # This is needed for statefulset hostnames like elasticsearch-0 to resolve
  # Create endpoints also if the related pod isn't ready
  publishNotReadyAddresses: true
  selector:
    app: "elasticsearch-master"
  ports:
  - name: http
    port: 9200
  - name: transport
    port: 9300
---
# Source: elasticsearch/templates/statefulset.yaml
apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: elasticsearch-master
  labels:
    heritage: "Tiller"
    release: "elasticsearch"
    chart: "elasticsearch"
    app: "elasticsearch-master"
  annotations:
    esMajorVersion: "7"
spec:
  serviceName: elasticsearch-master-headless
  selector:
    matchLabels:
      app: "elasticsearch-master"
  replicas: 1
  podManagementPolicy: Parallel
  updateStrategy:
    type: RollingUpdate
  volumeClaimTemplates:
  - metadata:
      name: elasticsearch-master
    spec:
      accessModes:
      - ReadWriteOnce
      resources:
        requests:
          storage: 30Gi

  template:
    metadata:
      name: "elasticsearch-master"
      labels:
        heritage: "Tiller"
        release: "elasticsearch"
        chart: "elasticsearch"
        app: "elasticsearch-master"
      annotations:

    spec:
      securityContext:
        fsGroup: 1000
        runAsUser: 1000

      affinity:
        podAntiAffinity:
          requiredDuringSchedulingIgnoredDuringExecution:
          - labelSelector:
              matchExpressions:
              - key: app
                operator: In
                values:
                - "elasticsearch-master"
            topologyKey: kubernetes.io/hostname
      terminationGracePeriodSeconds: 120
      volumes:
      initContainers:
      - name: configure-sysctl
        securityContext:
          runAsUser: 0
          privileged: true
        image: "docker.elastic.co/elasticsearch/elasticsearch:7.7.1"
        imagePullPolicy: "IfNotPresent"
        command: ["sysctl", "-w", "vm.max_map_count=262144"]
        resources:
          {}


      containers:
      - name: "elasticsearch"
        securityContext:
          capabilities:
            drop:
            - ALL
          runAsNonRoot: true
          runAsUser: 1000

        image: "docker.elastic.co/elasticsearch/elasticsearch:7.7.1"
        imagePullPolicy: "IfNotPresent"
        readinessProbe:
          exec:
            command:
              - sh
              - -c
              - |
                #!/usr/bin/env bash -e
                # If the node is starting up wait for the cluster to be ready (request params: "wait_for_status=green&timeout=1s" )
                # Once it has started only check that the node itself is responding
                START_FILE=/tmp/.es_start_file

                http () {
                  local path="${1}"
                  local args="${2}"
                  set -- -XGET -s

                  if [ "$args" != "" ]; then
                    set -- "$@" $args
                  fi

                  if [ -n "${ELASTIC_USERNAME}" ] && [ -n "${ELASTIC_PASSWORD}" ]; then
                    set -- "$@" -u "${ELASTIC_USERNAME}:${ELASTIC_PASSWORD}"
                  fi

                  curl --output /dev/null -k "$@" "http://127.0.0.1:9200${path}"
                }

                if [ -f "${START_FILE}" ]; then
                  echo 'Elasticsearch is already running, lets check the node is healthy'
                  HTTP_CODE=$(http "/" "-w %{http_code}")
                  RC=$?
                  if [[ ${RC} -ne 0 ]]; then
                    echo "curl --output /dev/null -k -XGET -s -w '%{http_code}' \${BASIC_AUTH} http://127.0.0.1:9200/ failed with RC ${RC}"
                    exit ${RC}
                  fi
                  # ready if HTTP code 200, 503 is tolerable if ES version is 6.x
                  if [[ ${HTTP_CODE} == "200" ]]; then
                    exit 0
                  elif [[ ${HTTP_CODE} == "503" && "7" == "6" ]]; then
                    exit 0
                  else
                    echo "curl --output /dev/null -k -XGET -s -w '%{http_code}' \${BASIC_AUTH} http://127.0.0.1:9200/ failed with HTTP code ${HTTP_CODE}"
                    exit 1
                  fi

                else
                  echo 'Waiting for elasticsearch cluster to become ready (request params: "wait_for_status=green&timeout=1s" )'
                  if http "/_cluster/health?wait_for_status=green&timeout=1s" "--fail" ; then
                    touch ${START_FILE}
                    exit 0
                  else
                    echo 'Cluster is not yet ready (request params: "wait_for_status=green&timeout=1s" )'
                    exit 1
                  fi
                fi
          failureThreshold: 3
          initialDelaySeconds: 10
          periodSeconds: 10
          successThreshold: 3
          timeoutSeconds: 5

        ports:
        - name: http
          containerPort: 9200
        - name: transport
          containerPort: 9300
        resources:
          limits:
            cpu: 1000m
            memory: 2Gi
          requests:
            cpu: 1000m
            memory: 2Gi

        env:
          - name: node.name
            valueFrom:
              fieldRef:
                fieldPath: metadata.name
          - name: cluster.initial_master_nodes
            value: "elasticsearch-master-0,"
          - name: discovery.seed_hosts
            value: "elasticsearch-master-headless"
          - name: cluster.name
            value: "elasticsearch"
          - name: network.host
            value: "0.0.0.0"
          - name: ES_JAVA_OPTS
            value: "-Xmx1g -Xms1g"
          - name: node.data
            value: "true"
          - name: node.ingest
            value: "true"
          - name: node.master
            value: "true"
        volumeMounts:
          - name: "elasticsearch-master"
            mountPath: /usr/share/elasticsearch/data

Describe the bug:

$ kubectl get pods
NAME                     READY   STATUS    RESTARTS   AGE
elasticsearch-master-0   0/1     Running   0          10m

$ kubectl describe pod elasticsearch-master-0
Events:
  Type     Reason                  Age                 From                                                 Message
  ----     ------                  ----                ----                                                 -------
  Normal   Scheduled               11m                 default-scheduler                                    Successfully assigned elk/elasticsearch-master-0 to ip-10-107-1-247.us-west-2.compute.internal
  Normal   SuccessfulAttachVolume  10m                 attachdetach-controller                              AttachVolume.Attach succeeded for volume "pvc-71b0adf3-3731-4891-97ef-83f4a192a929"
  Normal   Pulled                  10m                 kubelet, ip-101-17-11-247.us-west-2.compute.internal  Container image "docker.elastic.co/elasticsearch/elasticsearch:7.7.1" already present on machine
  Normal   Created                 10m                 kubelet, ip-101-17-11-247.us-west-2.compute.internal  Created container configure-sysctl
  Normal   Started                 10m                 kubelet, ip-101-17-11-247.us-west-2.compute.internal  Started container configure-sysctl
  Normal   Pulled                  10m                 kubelet, ip-101-17-11-247.us-west-2.compute.internal  Container image "docker.elastic.co/elasticsearch/elasticsearch:7.7.1" already present on machine
  Normal   Created                 10m                 kubelet, ip-101-17-11-247.us-west-2.compute.internal  Created container elasticsearch
  Normal   Started                 10m                 kubelet, ip-101-17-11-247.us-west-2.compute.internal  Started container elasticsearch
  Warning  Unhealthy               20s (x60 over 10m)  kubelet, ip-101-17-11-247.us-west-2.compute.internal  Readiness probe failed: Waiting for elasticsearch cluster to become ready (request params: "wait_for_status=green&timeout=1s" )

**Steps to reproduce:**

1.
helm install --name elasticsearch ./elasticsearch --namespace elk
2.
3.

**Expected behavior:**

**Provide logs and/or server output (if relevant):**

*Be careful to obfuscate every secrets (credentials, token, public IP, ...) that could be visible in the output before copy-pasting*

```

Any additional context:

bug elasticsearch

Most helpful comment

If your running a single replica cluster add the following helm value:

clusterHealthCheckParams: "wait_for_status=yellow&timeout=1s"

Your status will never go green with a single replica cluster.

The following values should work:

replicas: 1
minimumMasterNodes: 1
clusterHealthCheckParams: 'wait_for_status=yellow&timeout=1s'

All 14 comments

I deleted 7.7.1, installed 7.8.1. I got same error.

Error:
Readiness probe failed: Waiting for elasticsearch cluster to become ready (request params: "wait_for_status=green&timeout=1s" )

I use the chart, https://github.com/elastic/helm-charts, version 7.8.1 to install elasticsearch into kubernetes cluster.
helm version: 2.16.10
Kubernetes version: 1.16 (EKS)

I use default settings, except changed the number of replicas from 3 to 1, changed minimumMasterNodes from 2 to 1 due to resource limitations.

git diff
--- a/elasticsearch/values.yaml
+++ b/elasticsearch/values.yaml

-replicas: 3
-minimumMasterNodes: 2
+replicas: 1
+minimumMasterNodes: 1


helm install --name elasticsearch ./elasticsearch --namespace elk

$ kubectl get pods
NAME                     READY   STATUS    RESTARTS   AGE
elasticsearch-master-0   0/1     Running   0          8m22s


kubectl describe pod elasticsearch-master-0

Events:
  Type     Reason                  Age               From                                                 Message
  ----     ------                  ----              ----                                                 -------
  Normal   Scheduled               45s               default-scheduler                                    Successfully assigned elk/elasticsearch-master-0 to ip-11-111-1-111.us-west-2.compute.internal
  Normal   SuccessfulAttachVolume  42s               attachdetach-controller                              AttachVolume.Attach succeeded for volume "pvc-71b0adf3-3731-4891-97ef-83f4a192a929"
  Normal   Pulled                  35s               kubelet, ip-11-111-1-111.us-west-2.compute.internal  Container image "docker.elastic.co/elasticsearch/elasticsearch:7.8.1" already present on machine
  Normal   Created                 35s               kubelet, ip-11-111-1-111.us-west-2.compute.internal  Created container configure-sysctl
  Normal   Started                 35s               kubelet, ip-11-111-1-111.us-west-2.compute.internal  Started container configure-sysctl
  Normal   Pulled                  35s               kubelet, ip-11-111-1-111.us-west-2.compute.internal  Container image "docker.elastic.co/elasticsearch/elasticsearch:7.8.1" already present on machine
  Normal   Created                 35s               kubelet, ip-11-111-1-111.us-west-2.compute.internal  Created container elasticsearch
  Normal   Started                 34s               kubelet, ip-11-111-1-111.us-west-2.compute.internal  Started container elasticsearch
  Warning  Unhealthy               5s (x2 over 17s)  kubelet, ip-11-111-1-111.us-west-2.compute.internal  Readiness probe failed: Waiting for elasticsearch cluster to become ready (request params: "wait_for_status=green&timeout=1s" )
Cluster is not yet ready (request params: "wait_for_status=green&timeout=1s" )

is this happening if you edited anything in the helm-charts/elasticsearch/values.yaml file

Instead of use local source code I cloned from github.com/elastic/helm-charts, I use the command below to install elasticsearch,

$ helm repo add elastic https://helm.elastic.co
"elastic" has been added to your repositories

$ kubectl create namespace elk
$ helm install --name elasticsearch --version 7.8.1 elastic/elasticsearch --namespace elk

$ kubectl describe pod elasticsearch-master-0
  Warning  Unhealthy               3m10s (x2 over 3m20s)  kubelet, ip-10-117-56-142.us-west-2.compute.internal  Readiness probe failed: Waiting for elasticsearch cluster to become ready (request params: "wait_for_status=green&timeout=1s" )
Cluster is not yet ready (request params: "wait_for_status=green&timeout=1s" )

I have encountered the same problem, is there any fix yet?

I'm experiencing the same.

This is my config that overrides some defaults

replicas: 1

persistence:
  enabled: false

resources:
  requests:
    cpu: "2"
    memory: "1Gi"
  limits:
    cpu: "2"
    memory: "2Gi"

# Openshift overrides
# https://github.com/elastic/helm-charts/tree/master/elasticsearch/examples/openshift
securityContext:
  runAsUser: null

podSecurityContext:
  fsGroup: null
  runAsUser: null

sysctlInitContainer:
  enabled: false

How is the cluster supposed to go green with these charts on initial standup?

The headless service doesn't resolve in DNS until at least one node is up, but the readiness check doesn't return ready until the cluster is green. I didn't try lowering the minimum master nodes, but even with that, it's unclear how it should properly start back up when none of the pods are currently up and running -- both during an initial deployment and in future if you for example needed to fully shut down the cluster and bring it back up with same pv's.

On a handcrafted deployment I have - I wound up disabling the readiness check until the cluster was operational, and then rolling out an update re-enabling it.

Maybe I'm missing something and it's the same thing affecting the deployment in this issue?

If this is completely unrelated to this issue, please disregard, just seemed to have a likely overlap.

If your running a single replica cluster add the following helm value:

clusterHealthCheckParams: "wait_for_status=yellow&timeout=1s"

Your status will never go green with a single replica cluster.

The following values should work:

replicas: 1
minimumMasterNodes: 1
clusterHealthCheckParams: 'wait_for_status=yellow&timeout=1s'

We have faced with the same issue in case of StatefulSet restoring with the same PVC(using it for test envs). It works ok if we crate elastic pod from scratch, but not after StatefulSet restoration. In couple with error Cluster is not yet ready (request params: "wait_for_status=green&timeout=1s" ) we get next error:

{"type": "server", "timestamp": "2020-10-01T14:09:37,285Z", "level": "INFO", "component": "o.e.c.r.a.AllocationService", "cluster.name": "***", "node.name": "**-0", "message": "Cluster health status changed from [RED] to [YELLOW] (reason: [shards started [[*_*][0]]]).", "cluster.uuid": "***", "node.id": "****" }

The issue seems to be not in the elasticsearch pods - assume it's in the index itself. Even if we create index from the app with number_of_replicas parameter set to 0, after elasticsearch pod recreation with the same pvc we get this value set to 1. This command helps us to get elastic back to life:

curl -H 'Content-Type: application/json' -XPUT 'elastic_host:9200/index_name/_settings' -d '{ "index":{"number_of_replicas" : 0 }}

May be there are some default value for numbers of replicas, which applies in case of elasticsearch restart?

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

I'm having the same issue running it on AWS Fargate. The fact that we can not run it on a privileged mode, I had to disable these settings from values.yml:

sysctlInitContainer:
  enabled: false

But I end up with Max file descriptors being too low:

[2]: max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144]

Any suggestions to run it on Fargate ?

I was having the same issue. As our developers are coming from docker-compose I want to make the transition as smooth as possible so enabled the discovery.type=single-node option by using a singleNode: true property in the values.yaml.

https://github.com/elastic/helm-charts/pull/1027

Please test this is working for you as well and let me know any feedback. I've not written python in quite sometime!

I am also running into the same issue. Though in my scenario I am using the multi approach used in their examples, and replica's of 2 with ES version 6.1.4. I tried updating the clusterHealthCheckParams: "wait_for_status=[yellow,green]&timeout=200s" with no avail. Nothing else coming out of the events or logs which raise any concern.

I was having the same issue. Earlier I have set a password with a length of fewer than 20 characters. but after setting a password with 20 character length in 100s pod status is turn in ready.

I was having the same issue. Earlier I have set a password with a length of fewer than 20 characters. but after setting a password with 20 character length in 100s pod status is turn in ready.

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