Chart Version
7.3.0
Kubernetes Version
1.13
Kubernetes provider
AWS (EKS cluster)
Helm Version
2.11.0
Everytime I run helm install --name elasticsearch elastic/elasticsearch --namespace elasticsearch --set resources.requests.memory=1.5Gi --set resources.limits.memory=1.5Gi --tiller-namespace spinnaker it appears to be deploying the master pods but they don't start.
NAME: elasticsearch
LAST DEPLOYED: Wed Sep 11 17:49:30 2019
NAMESPACE: elasticsearch
STATUS: DEPLOYED
RESOURCES:
==> v1/Pod(related)
NAME READY STATUS RESTARTS AGE
elasticsearch-master-0 0/1 Init:0/1 0 1s
elasticsearch-master-1 0/1 Terminating 0 5m46s
elasticsearch-master-2 0/1 Terminating 4 5m46s
==> v1/Service
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
elasticsearch-master ClusterIP 172.20.72.18 <none> 9200/TCP,9300/TCP 1s
elasticsearch-master-headless ClusterIP None <none> 9200/TCP,9300/TCP 1s
==> v1beta1/PodDisruptionBudget
NAME MIN AVAILABLE MAX UNAVAILABLE ALLOWED DISRUPTIONS AGE
elasticsearch-master-pdb N/A 1 0 1s
==> v1beta1/StatefulSet
NAME READY AGE
elasticsearch-master 0/3 1s
NOTES:
1. Watch all cluster members come up.
$ kubectl get pods --namespace=elasticsearch -l app=elasticsearch-master -w
2. Test cluster health using Helm test.
$ helm test elasticsearch
Here is the output of running helm get elasticsearch --tiller-namespace spinnaker
REVISION: 1
RELEASED: Wed Sep 11 17:49:30 2019
CHART: elasticsearch-7.3.0
USER-SUPPLIED VALUES:
resources:
limits:
memory: 1.5Gi
requests:
memory: 1.5Gi
COMPUTED VALUES:
antiAffinity: hard
antiAffinityTopologyKey: kubernetes.io/hostname
clusterHealthCheckParams: wait_for_status=green&timeout=1s
clusterName: elasticsearch
esConfig: {}
esJavaOpts: -Xmx1g -Xms1g
esMajorVersion: ""
extraEnvs: []
extraInitContainers: []
extraVolumeMounts: []
extraVolumes: []
fsGroup: ""
fullnameOverride: ""
httpPort: 9200
image: docker.elastic.co/elasticsearch/elasticsearch
imagePullPolicy: IfNotPresent
imagePullSecrets: []
imageTag: 7.3.0
ingress:
annotations: {}
enabled: false
hosts:
- chart-example.local
path: /
tls: []
initResources: {}
labels: {}
lifecycle: {}
masterService: ""
masterTerminationFix: false
maxUnavailable: 1
minimumMasterNodes: 2
nameOverride: ""
networkHost: 0.0.0.0
nodeAffinity: {}
nodeGroup: master
nodeSelector: {}
persistence:
annotations: {}
enabled: true
podAnnotations: {}
podManagementPolicy: Parallel
podSecurityContext:
fsGroup: 1000
priorityClassName: ""
protocol: http
readinessProbe:
failureThreshold: 3
initialDelaySeconds: 10
periodSeconds: 10
successThreshold: 3
timeoutSeconds: 5
replicas: 3
resources:
limits:
cpu: 1000m
memory: 1.5Gi
requests:
cpu: 100m
memory: 1.5Gi
roles:
data: "true"
ingest: "true"
master: "true"
schedulerName: ""
secretMounts: []
securityContext:
capabilities:
drop:
- ALL
runAsNonRoot: true
runAsUser: 1000
service:
annotations: {}
nodePort: null
type: ClusterIP
sidecarResources: {}
sysctlInitContainer:
enabled: true
sysctlVmMaxMapCount: 262144
terminationGracePeriod: 120
tolerations: []
transportPort: 9300
updateStrategy: RollingUpdate
volumeClaimTemplate:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 30Gi
HOOKS:
---
# elasticsearch-sjzcy-test
apiVersion: v1
kind: Pod
metadata:
name: "elasticsearch-sjzcy-test"
annotations:
"helm.sh/hook": test-success
spec:
containers:
- name: "elasticsearch-sphns-test"
image: "docker.elastic.co/elasticsearch/elasticsearch:7.3.0"
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-7.3.0"
app: "elasticsearch-master"
annotations:
{}
spec:
type: ClusterIP
selector:
heritage: "Tiller"
release: "elasticsearch"
chart: "elasticsearch-7.3.0"
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-7.3.0"
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/v1beta1
kind: StatefulSet
metadata:
name: elasticsearch-master
labels:
heritage: "Tiller"
release: "elasticsearch"
chart: "elasticsearch-7.3.0"
app: "elasticsearch-master"
annotations:
esMajorVersion: "7"
spec:
serviceName: elasticsearch-master-headless
selector:
matchLabels:
app: "elasticsearch-master"
replicas: 3
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-7.3.0"
app: "elasticsearch-master"
annotations:
spec:
securityContext:
fsGroup: 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:7.3.0"
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:7.3.0"
imagePullPolicy: "IfNotPresent"
readinessProbe:
failureThreshold: 3
initialDelaySeconds: 10
periodSeconds: 10
successThreshold: 3
timeoutSeconds: 5
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="${1}"
if [ -n "${ELASTIC_USERNAME}" ] && [ -n "${ELASTIC_PASSWORD}" ]; then
BASIC_AUTH="-u ${ELASTIC_USERNAME}:${ELASTIC_PASSWORD}"
else
BASIC_AUTH=''
fi
curl -XGET -s -k --fail ${BASIC_AUTH} http://127.0.0.1:9200${path}
}
if [ -f "${START_FILE}" ]; then
echo 'Elasticsearch is already running, lets check the node is healthy'
http "/"
else
echo 'Waiting for elasticsearch cluster to become cluster to be ready (request params: "wait_for_status=green&timeout=1s" )'
if http "/_cluster/health?wait_for_status=green&timeout=1s" ; 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
ports:
- name: http
containerPort: 9200
- name: transport
containerPort: 9300
resources:
limits:
cpu: 1000m
memory: 1.5Gi
requests:
cpu: 100m
memory: 1.5Gi
env:
- name: node.name
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: cluster.initial_master_nodes
value: "elasticsearch-master-0,elasticsearch-master-1,elasticsearch-master-2,"
- 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
And the ooutput of running kubectl get pods --namespace=elasticsearch -l app=elasticsearch-master
NAME READY STATUS RESTARTS AGE
elasticsearch-master-0 0/1 CrashLoopBackOff 4 4m
elasticsearch-master-1 0/1 Running 0 4m
elasticsearch-master-2 0/1 Error 4 3m
If you reduce the amount of memory you will also need to adjust the jvm memory size:
That could potentially be causing issues although I think that the cluster should still start up properly.
Could you also give me the log output from each of the containers? It's interesting that elasticsearch-master-1 does seem to be running but the others are crashing.
I have the same issue. Everything is running (3 nodes) but readinessProbess are failing and causes the pods to restart.
If I try to check the health, this is what I get:
{"error":{"root_cause":[{"type":"master_not_discovered_exception","reason":null}],"type":"master_not_discovered_exception","reason":null},"status":503}
(I forwarded port with kubectl port-forward svc/elasticsearch-master 9200 -n logging and then curl 'http://localhost:9200/_cluster/health?wait_for_status=green&timeout=1s'
Logs:
| elasticsearch {"type": "server", "timestamp": "2019-10-10T15:33:46,214Z", "level": "WARN", "component": "r.suppressed", "cluster.name": "elasticsearch", "node.name": "elasticsearch-master-2", "message": "path: /_cluster/health, params: {wait_for_status=green, timeout=1s}", โ
โ elasticsearch "stacktrace": ["org.elasticsearch.discovery.MasterNotDiscoveredException: null", โ
โ elasticsearch "at org.elasticsearch.action.support.master.TransportMasterNodeAction$AsyncSingleAction$2.onTimeout(TransportMasterNodeAction.java:214) [elasticsearch-7.4.0.jar:7.4.0]", โ
โ elasticsearch "at org.elasticsearch.cluster.ClusterStateObserver$ContextPreservingListener.onTimeout(ClusterStateObserver.java:325) [elasticsearch-7.4.0.jar:7.4.0]", โ
โ elasticsearch "at org.elasticsearch.cluster.ClusterStateObserver$ObserverClusterStateListener.onTimeout(ClusterStateObserver.java:252) [elasticsearch-7.4.0.jar:7.4.0]", โ
โ elasticsearch "at org.elasticsearch.cluster.service.ClusterApplierService$NotifyTimeout.run(ClusterApplierService.java:598) [elasticsearch-7.4.0.jar:7.4.0]", โ
โ elasticsearch "at org.elasticsearch.common.util.concurrent.ThreadContext$ContextPreservingRunnable.run(ThreadContext.java:703) [elasticsearch-7.4.0.jar:7.4.0]", โ
โ elasticsearch "at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) [?:?]", โ
โ elasticsearch "at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) [?:?]", โ
โ elasticsearch "at java.lang.Thread.run(Thread.java:830) [?:?]"] } โ
โ elasticsearch {"type": "server", "timestamp": "2019-10-10T15:33:53,510Z", "level": "WARN", "component": "o.e.c.c.ClusterFormationFailureHelper", "cluster.name": "elasticsearch", "node.name": "elasticsearch-master-2", "message": "master not discovered or elected yet, an election requires at least 2 nodes with ids from [jfp510YSTUWui7MHQ_kcNg, wsK1Hg0P โ
โ mKHlnCoU0hwZg, -F4nt28_Q7ORXOrpl2_KPQ[], have discovered [{elasticsearch-master-2}{jfp510YSTUWui7MHQ_kcNg}{LtX9Z5psRVKcNtfb3UxNQQ}{10.10.18.183}{10.10.18.183:9300}{dilm}{ml.machine_memory=2147483648, xpack.installed=true, ml.max_open_jobs=20}] which is not a quorum; discovery will continue using [10.10.1.193:9300, 10.10.34.124:9300] from hosts provid โ
โ ers and [{elasticsearch-master-2}{jfp510YSTUWui7MHQ_kcNg}{LtX9Z5psRVKcNtfb3UxNQQ}{10.10.18.183}{10.10.18.183:9300}{dilm}{ml.machine_memory=2147483648, xpack.installed=true, ml.max_open_jobs=20}] from last-known cluster state; node term 9, last-accepted version 280 in term 9" } โ
โ
to reproduce, change replicas to 2, in already deployed ES. elasticsearch-master-1 will try to restart but the probes will fail so it will never be ready (CrashLoopBackOff) and elasticsearch-master-0 will be still running but lots of exceptions in the logs:
โ elasticsearch {"type": "server", "timestamp": "2019-10-10T15:57:46,346Z", "level": "DEBUG", "component": "o.e.a.a.c.n.i.TransportNodesInfoAction", "cluster.name": "elasticsearch", "node.name": "elasticsearch-master-0", "message": "failed to execute on node [wsK1Hg0PTmKHlnCoU0hwZg]", "cluster.uuid": "mvthtCX-QSiRJlptaxKARg", "node.id": "-F4nt28_Q7ORXO โ
โ rpl2_KPQ" , โ
โ elasticsearch "stacktrace": ["org.elasticsearch.transport.NodeNotConnectedException: [elasticsearch-master-1][10.10.0.99:9300] Node not connected", โ
โ elasticsearch "at org.elasticsearch.transport.ConnectionManager.getConnection(ConnectionManager.java:222) ~[elasticsearch-7.4.0.jar:7.4.0]", โ
โ elasticsearch "at org.elasticsearch.transport.TransportService.getConnection(TransportService.java:617) ~[elasticsearch-7.4.0.jar:7.4.0]", โ
โ elasticsearch "at org.elasticsearch.transport.TransportService.sendRequest(TransportService.java:589) [elasticsearch-7.4.0.jar:7.4.0]", โ
โ elasticsearch "at org.elasticsearch.action.support.nodes.TransportNodesAction$AsyncAction.start(TransportNodesAction.java:182) [elasticsearch-7.4.0.jar:7.4.0]",
@RobertoUa another gotcha that I've encountered is that even if you delete the app that had 3 replicas and install again with 2 replicas but forget to delete persistent volume claims (which don't get removed by Helm when you delete the app), it still fails with MasterNotDiscoveredException.
@dolsem got the same problem on Digital Ocean managed K8s. After removing PVC manually that didn't fix anything :(
@dolsem got the same problem on Digital Ocean managed K8s. After removing PVC manually that didn't fix anything :(
@holms Would you mind opening a new bug report with the requested details so we can investigate further.
@fatmcgav
After increasing readiness probe to 200 it worked:
readinessProbe:
initialDelaySeconds: 200
And I think it might be due to this exit 1 in readinessProbe that you have in here:
https://github.com/elastic/helm-charts/blob/e463e7a1f4f719687e8b4294bc3223bfbd021915/elasticsearch/templates/statefulset.yaml#L223
After readinessProbe timeout pod always exits. This is not the best practice to do it this way as far as I'm aware
@fatmcgav
After increasing readiness probe to 200 it worked:
readinessProbe: initialDelaySeconds: 200And I think it might be due to this
exit 1in readinessProbe that you have in here:
https://github.com/elastic/helm-charts/blob/e463e7a1f4f719687e8b4294bc3223bfbd021915/elasticsearch/templates/statefulset.yaml#L223After readinessProbe timeout pod always exits. This is not the best practice to do it this way as far as I'm aware
@holms Cheers for the update.
Bumping the initialDelaySeconds value would indicate that, for whatever reason, the pods are taking a long time to start up and become ready for you.
By default, Elasticsearch within the pod is expected to return a 'green' cluster health within 40 seconds (10 second initial delay plus 3 retries at 10 seconds each)...
Maybe it's worth checking the pod logs to see _why_ it's taking soo long to become ready...
@fatmcgav opened new issue #361 also with logs attached. But really this happens even on my home server. So IDK what is going on, but best practises states you never do exit 1 in readiness, you might end up in such situation anytime in different environment.
@holms Cool, cheers. Let's continue this discussion on #361.
@CallmeTorre Is this still an issue for you?
@RobertoUa another gotcha that I've encountered is that even if you delete the app that had 3 replicas and install again with 2 replicas but forget to delete persistent volume claims (which don't get removed by Helm when you delete the app), it still fails with MasterNotDiscoveredException.
Indeed. In my case, it was some leftover pvc's from a removed es cluster, causing the NodeNotConnectedException issue. Kind of expected. I deleted the related pvc's and redeployed the cluster and the issue is gone. The number of replicas was the same on both cases though.
Hi guys,
I'm also receiving master_not_discovered_exception / MasterNotDiscoveredException and I can't figure out why.
Kubernetes: v1.17.0
CIDR: flannel
Chart version: 7.5.2
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:
release: "es"
chart: "elasticsearch"
app: "elasticsearch-master"
annotations:
{}
spec:
type: ClusterIP
selector:
release: "es"
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:
release: "es"
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:
release: "es"
chart: "elasticsearch"
app: "elasticsearch-master"
annotations:
esMajorVersion: "7"
spec:
serviceName: elasticsearch-master-headless
selector:
matchLabels:
app: "elasticsearch-master"
replicas: 3
podManagementPolicy: Parallel
updateStrategy:
type: RollingUpdate
volumeClaimTemplates:
- metadata:
name: elasticsearch-master
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
template:
metadata:
name: "elasticsearch-master"
labels:
release: "es"
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:7.5.2"
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:7.5.2"
imagePullPolicy: "IfNotPresent"
readinessProbe:
failureThreshold: 3
initialDelaySeconds: 50
periodSeconds: 10
successThreshold: 3
timeoutSeconds: 5
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}"
if [ -n "${ELASTIC_USERNAME}" ] && [ -n "${ELASTIC_PASSWORD}" ]; then
BASIC_AUTH="-u ${ELASTIC_USERNAME}:${ELASTIC_PASSWORD}"
else
BASIC_AUTH=''
fi
curl -XGET -s -k --fail ${BASIC_AUTH} http://127.0.0.1:9200${path}
}
if [ -f "${START_FILE}" ]; then
echo 'Elasticsearch is already running, lets check the node is healthy and there are master nodes available'
http "/_cluster/health?timeout=0s"
else
echo 'Waiting for elasticsearch cluster to become cluster to be ready (request params: "wait_for_status=green&timeout=1s" )'
if http "/_cluster/health?wait_for_status=green&timeout=1s" ; 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
ports:
- name: http
containerPort: 9200
- name: transport
containerPort: 9300
resources:
limits:
cpu: 1000m
memory: 2Gi
requests:
cpu: 100m
memory: 2Gi
env:
- name: node.name
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: cluster.initial_master_nodes
value: "elasticsearch-master-0,elasticsearch-master-1,elasticsearch-master-2,"
- 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
---
# Source: elasticsearch/templates/test/test-elasticsearch-health.yaml
apiVersion: v1
kind: Pod
metadata:
name: "es-khddf-test"
annotations:
"helm.sh/hook": test-success
spec:
containers:
- name: "es-xsqvw-test"
image: "docker.elastic.co/elasticsearch/elasticsearch:7.5.2"
command:
- "sh"
- "-c"
- |
#!/usr/bin/env bash -e
curl -XGET --fail 'elasticsearch-master:9200/_cluster/health?wait_for_status=green&timeout=1s'
restartPolicy: Never
$ kubectl get pods
NAME READY STATUS RESTARTS AGE
elasticsearch-master-0 0/1 Running 0 14m
elasticsearch-master-1 0/1 Pending 0 14m
elasticsearch-master-2 0/1 Pending 0 14m
es-khddf-test 0/1 Error 0 14m
and logs for the Running pod keeps repeating:
{"type": "server", "timestamp": "2020-02-04T15:31:04,041Z", "level": "DEBUG", "component": "o.e.a.s.m.TransportMasterNodeAction", "cluster.name": "elasticsearch", "node.name": "elasticsearch-master-0", "message": "timed out while retrying [cluster:monitor/health] after failure (timeout [1s])" }
{"type": "server", "timestamp": "2020-02-04T15:31:04,042Z", "level": "WARN", "component": "r.suppressed", "cluster.name": "elasticsearch", "node.name": "elasticsearch-master-0", "message": "path: /_cluster/health, params: {wait_for_status=green, timeout=1s}",
"stacktrace": ["org.elasticsearch.discovery.MasterNotDiscoveredException: null",
"at org.elasticsearch.action.support.master.TransportMasterNodeAction$AsyncSingleAction$2.onTimeout(TransportMasterNodeAction.java:218) [elasticsearch-7.5.2.jar:7.5.2]",
"at org.elasticsearch.cluster.ClusterStateObserver$ContextPreservingListener.onTimeout(ClusterStateObserver.java:325) [elasticsearch-7.5.2.jar:7.5.2]",
"at org.elasticsearch.cluster.ClusterStateObserver$ObserverClusterStateListener.onTimeout(ClusterStateObserver.java:252) [elasticsearch-7.5.2.jar:7.5.2]",
"at org.elasticsearch.cluster.service.ClusterApplierService$NotifyTimeout.run(ClusterApplierService.java:598) [elasticsearch-7.5.2.jar:7.5.2]",
"at org.elasticsearch.common.util.concurrent.ThreadContext$ContextPreservingRunnable.run(ThreadContext.java:703) [elasticsearch-7.5.2.jar:7.5.2]",
"at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) [?:?]",
"at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) [?:?]",
"at java.lang.Thread.run(Thread.java:830) [?:?]"] }
{"type": "server", "timestamp": "2020-02-04T15:31:05,590Z", "level": "WARN", "component": "o.e.c.c.ClusterFormationFailureHelper", "cluster.name": "elasticsearch", "node.name": "elasticsearch-master-0", "message": "master not discovered yet, this node has not previously joined a bootstrapped (v7+) cluster, and this node must discover master-eligible nodes [elasticsearch-master-0, elasticsearch-master-1, elasticsearch-master-2] to bootstrap a cluster: have discovered [{elasticsearch-master-0}{jcDINcndSQSZ5fPBuhiyQw}{VOTh1xvtSLy9ygU_R-IVFw}{192.168.0.117}{192.168.0.117:9300}{dilm}{ml.machine_memory=2147483648, xpack.installed=true, ml.max_open_jobs=20}]; discovery will continue using [] from hosts providers and [{elasticsearch-master-0}{jcDINcndSQSZ5fPBuhiyQw}{VOTh1xvtSLy9ygU_R-IVFw}{192.168.0.117}{192.168.0.117:9300}{dilm}{ml.machine_memory=2147483648, xpack.installed=true, ml.max_open_jobs=20}] from last-known cluster state; node term 0, last-accepted version 0 in term 0" }
{"type": "server", "timestamp": "2020-02-04T15:31:13,039Z", "level": "DEBUG", "component": "o.e.a.s.m.TransportMasterNodeAction", "cluster.name": "elasticsearch", "node.name": "elasticsearch-master-0", "message": "no known master node, scheduling a retry" }
SSH-ing into the pod and running curl on elasticsearch-master-0:9200 and elasticsearch-master-headless:9200 resolves the names and returns:
{
"name" : "elasticsearch-master-0",
"cluster_name" : "elasticsearch",
"cluster_uuid" : "_na_",
"version" : {
"number" : "7.5.2",
"build_flavor" : "default",
"build_type" : "docker",
"build_hash" : "8bec50e1e0ad29dad5653712cf3bb580cd1afcdf",
"build_date" : "2020-01-15T12:11:52.313576Z",
"build_snapshot" : false,
"lucene_version" : "8.3.0",
"minimum_wire_compatibility_version" : "6.8.0",
"minimum_index_compatibility_version" : "6.0.0-beta1"
},
"tagline" : "You Know, for Search"
}
but doing /_cluster/health gives:
{"error":{"root_cause":[{"type":"master_not_discovered_exception","reason":null}],"type":"master_not_discovered_exception","reason":null},"status":503}
At this point I don't have any ideas on what to check further. Please help :(
Found the problem: antiAffinity was set to hard and but I didn't have enough nodes so only one pod was being scheduled... since that pod couldn't go green (not finding enough masters) the deploy hanged.
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Most helpful comment
Found the problem: antiAffinity was set to hard and but I didn't have enough nodes so only one pod was being scheduled... since that pod couldn't go green (not finding enough masters) the deploy hanged.