FlinkDeployment Reference

This page serves as a full reference for FlinkDeployment custom resource definition including all the possible configuration parameters.

FlinkDeployment

Class: org.apache.flink.kubernetes.operator.crd.FlinkDeployment

Description: Custom resource that represents both Application and Session deployments.

ParameterTypeDocs
specorg.apache.flink.kubernetes.operator.crd.spec.FlinkDeploymentSpecSpec that describes a Flink application or session cluster deployment.
statusorg.apache.flink.kubernetes.operator.crd.status.FlinkDeploymentStatusLast observed status of the Flink deployment.

Spec

FlinkDeploymentSpec

Class: org.apache.flink.kubernetes.operator.api.spec.FlinkDeploymentSpec

Description: Spec that describes a Flink application or session cluster deployment.

ParameterTypeDocs
joborg.apache.flink.kubernetes.operator.api.spec.JobSpecJob specification for application deployments/session job. Null for session clusters.
restartNoncejava.lang.LongNonce used to manually trigger restart for the cluster/session job. In order to trigger restart, change the number to anything other than the current value.
flinkConfigurationjava.util.Map<java.lang.String,java.lang.String>Flink configuration overrides for the Flink deployment or Flink session job.
imagejava.lang.StringFlink docker image used to start the Job and TaskManager pods.
imagePullPolicyjava.lang.StringImage pull policy of the Flink docker image.
serviceAccountjava.lang.StringKubernetes service used by the Flink deployment.
flinkVersionorg.apache.flink.kubernetes.operator.api.spec.FlinkVersionFlink image version.
ingressorg.apache.flink.kubernetes.operator.api.spec.IngressSpecIngress specs.
podTemplateio.fabric8.kubernetes.api.model.PodBase pod template for job and task manager pods. Can be overridden by the jobManager and taskManager pod templates.
jobManagerorg.apache.flink.kubernetes.operator.api.spec.JobManagerSpecJobManager specs.
taskManagerorg.apache.flink.kubernetes.operator.api.spec.TaskManagerSpecTaskManager specs.
logConfigurationjava.util.Map<java.lang.String,java.lang.String>Log configuration overrides for the Flink deployment. Format logConfigFileName -> configContent.
modeorg.apache.flink.kubernetes.operator.api.spec.KubernetesDeploymentModeDeployment mode of the Flink cluster, native or standalone.

FlinkSessionJobSpec

Class: org.apache.flink.kubernetes.operator.api.spec.FlinkSessionJobSpec

Description: Spec that describes a Flink session job.

ParameterTypeDocs
joborg.apache.flink.kubernetes.operator.api.spec.JobSpecJob specification for application deployments/session job. Null for session clusters.
restartNoncejava.lang.LongNonce used to manually trigger restart for the cluster/session job. In order to trigger restart, change the number to anything other than the current value.
flinkConfigurationjava.util.Map<java.lang.String,java.lang.String>Flink configuration overrides for the Flink deployment or Flink session job.
deploymentNamejava.lang.StringThe name of the target session cluster deployment.

FlinkVersion

Class: org.apache.flink.kubernetes.operator.api.spec.FlinkVersion

Description: Enumeration for supported Flink versions.

ValueDocs
v1_13
v1_14
v1_15
v1_16
v1_17
v1_18
v1_19

IngressSpec

Class: org.apache.flink.kubernetes.operator.api.spec.IngressSpec

Description: Ingress spec.

ParameterTypeDocs
templatejava.lang.StringIngress template for the JobManager service.
classNamejava.lang.StringIngress className for the Flink deployment.
annotationsjava.util.Map<java.lang.String,java.lang.String>Ingress annotations.

JobManagerSpec

Class: org.apache.flink.kubernetes.operator.api.spec.JobManagerSpec

Description: JobManager spec.

ParameterTypeDocs
resourceorg.apache.flink.kubernetes.operator.api.spec.ResourceResource specification for the JobManager pods.
replicasintNumber of JobManager replicas. Must be 1 for non-HA deployments.
podTemplateio.fabric8.kubernetes.api.model.PodJobManager pod template. It will be merged with FlinkDeploymentSpec.podTemplate.

JobSpec

Class: org.apache.flink.kubernetes.operator.api.spec.JobSpec

Description: Flink job spec.

ParameterTypeDocs
jarURIjava.lang.StringOptional URI of the job jar within the Flink docker container. For example: local:///opt/flink/examples/streaming/StateMachineExample.jar. If not specified the job jar should be available in the system classpath.
parallelismintParallelism of the Flink job.
entryClassjava.lang.StringFully qualified main class name of the Flink job.
argsjava.lang.String[]Arguments for the Flink job main class.
stateorg.apache.flink.kubernetes.operator.api.spec.JobStateDesired state for the job.
savepointTriggerNoncejava.lang.LongNonce used to manually trigger savepoint for the running job. In order to trigger a savepoint, change the number to anything other than the current value.
initialSavepointPathjava.lang.StringSavepoint path used by the job the first time it is deployed. Upgrades/redeployments will not be affected.
checkpointTriggerNoncejava.lang.LongNonce used to manually trigger checkpoint for the running job. In order to trigger a checkpoint, change the number to anything other than the current value.
upgradeModeorg.apache.flink.kubernetes.operator.api.spec.UpgradeModeUpgrade mode of the Flink job.
allowNonRestoredStatejava.lang.BooleanAllow checkpoint state that cannot be mapped to any job vertex in tasks.

JobState

Class: org.apache.flink.kubernetes.operator.api.spec.JobState

Description: Enum describing the desired job state.

ValueDocs
runningJob is expected to be processing data.
suspendedProcessing is suspended with the intention of continuing later.

KubernetesDeploymentMode

Class: org.apache.flink.kubernetes.operator.api.spec.KubernetesDeploymentMode

Description: Enum to control Flink deployment mode on Kubernetes.

ValueDocs
nativeDeploys Flink using Flinks native Kubernetes support. Only supported for newer versions of Flink
standaloneDeploys Flink on-top of kubernetes in standalone mode.

Resource

Class: org.apache.flink.kubernetes.operator.api.spec.Resource

Description: Resource spec.

ParameterTypeDocs
cpujava.lang.DoubleAmount of CPU allocated to the pod.
memoryjava.lang.StringAmount of memory allocated to the pod. Example: 1024m, 1g
ephemeralStoragejava.lang.StringAmount of ephemeral storage allocated to the pod. Example: 1024m, 2G

TaskManagerSpec

Class: org.apache.flink.kubernetes.operator.api.spec.TaskManagerSpec

Description: TaskManager spec.

ParameterTypeDocs
resourceorg.apache.flink.kubernetes.operator.api.spec.ResourceResource specification for the TaskManager pods.
replicasjava.lang.IntegerNumber of TaskManager replicas. If defined, takes precedence over parallelism
podTemplateio.fabric8.kubernetes.api.model.PodTaskManager pod template. It will be merged with FlinkDeploymentSpec.podTemplate.

UpgradeMode

Class: org.apache.flink.kubernetes.operator.api.spec.UpgradeMode

Description: Enum to control Flink job upgrade behavior.

ValueDocs
savepointJob is upgraded by first taking a savepoint of the running job, shutting it down and restoring from the savepoint.
last-stateJob is upgraded using any latest checkpoint or savepoint available.
statelessJob is upgraded with empty state.

Status

Checkpoint

Class: org.apache.flink.kubernetes.operator.api.status.Checkpoint

Description: Represents information about a finished checkpoint.

ParameterTypeDocs
timeStamplongMillisecond timestamp at the start of the checkpoint operation.
triggerTypeorg.apache.flink.kubernetes.operator.api.status.SnapshotTriggerTypeCheckpoint trigger mechanism.
formatTypeorg.apache.flink.kubernetes.operator.api.status.CheckpointTypeCheckpoint format.
triggerNoncejava.lang.LongNonce value used when the checkpoint was triggered manually {@link SnapshotTriggerType#MANUAL}, null for other types of checkpoint.

CheckpointInfo

Class: org.apache.flink.kubernetes.operator.api.status.CheckpointInfo

Description: Stores checkpoint-related information.

ParameterTypeDocs
lastCheckpointorg.apache.flink.kubernetes.operator.api.status.CheckpointLast completed checkpoint by the operator.
triggerIdjava.lang.StringTrigger id of a pending checkpoint operation.
triggerTimestampjava.lang.LongTrigger timestamp of a pending checkpoint operation.
triggerTypeorg.apache.flink.kubernetes.operator.api.status.SnapshotTriggerTypeCheckpoint trigger mechanism.
formatTypeorg.apache.flink.kubernetes.operator.api.status.CheckpointTypeCheckpoint format.
lastPeriodicCheckpointTimestamplongTrigger timestamp of last periodic checkpoint operation.

CheckpointType

Class: org.apache.flink.kubernetes.operator.api.status.CheckpointType

Description: Checkpoint format type.

ValueDocs
FULL
INCREMENTAL
UNKNOWNCheckpoint format unknown, if the checkpoint was not triggered by the operator.
descriptionorg.apache.flink.configuration.description.InlineElement

FlinkDeploymentReconciliationStatus

Class: org.apache.flink.kubernetes.operator.api.status.FlinkDeploymentReconciliationStatus

Description: Status of the last reconcile step for the flink deployment.

ParameterTypeDocs
reconciliationTimestamplongEpoch timestamp of the last successful reconcile operation.
lastReconciledSpecjava.lang.StringLast reconciled deployment spec. Used to decide whether further reconciliation steps are necessary.
lastStableSpecjava.lang.StringLast stable deployment spec according to the specified stability condition. If a rollback strategy is defined this will be the target to roll back to.
stateorg.apache.flink.kubernetes.operator.api.status.ReconciliationStateDeployment state of the last reconciled spec.

FlinkDeploymentStatus

Class: org.apache.flink.kubernetes.operator.api.status.FlinkDeploymentStatus

Description: Last observed status of the Flink deployment.

ParameterTypeDocs
jobStatusorg.apache.flink.kubernetes.operator.api.status.JobStatusLast observed status of the Flink job on Application/Session cluster.
errorjava.lang.StringError information about the FlinkDeployment/FlinkSessionJob.
lifecycleStateorg.apache.flink.kubernetes.operator.api.lifecycle.ResourceLifecycleStateLifecycle state of the Flink resource (including being rolled back, failed etc.).
clusterInfojava.util.Map<java.lang.String,java.lang.String>Information from running clusters.
jobManagerDeploymentStatusorg.apache.flink.kubernetes.operator.api.status.JobManagerDeploymentStatusLast observed status of the JobManager deployment.
reconciliationStatusorg.apache.flink.kubernetes.operator.api.status.FlinkDeploymentReconciliationStatusStatus of the last reconcile operation.
taskManagerorg.apache.flink.kubernetes.operator.api.status.TaskManagerInfoInformation about the TaskManagers for the scale subresource.

FlinkSessionJobReconciliationStatus

Class: org.apache.flink.kubernetes.operator.api.status.FlinkSessionJobReconciliationStatus

Description: Status of the last reconcile step for the flink sessionjob.

ParameterTypeDocs
reconciliationTimestamplongEpoch timestamp of the last successful reconcile operation.
lastReconciledSpecjava.lang.StringLast reconciled deployment spec. Used to decide whether further reconciliation steps are necessary.
lastStableSpecjava.lang.StringLast stable deployment spec according to the specified stability condition. If a rollback strategy is defined this will be the target to roll back to.
stateorg.apache.flink.kubernetes.operator.api.status.ReconciliationStateDeployment state of the last reconciled spec.

FlinkSessionJobStatus

Class: org.apache.flink.kubernetes.operator.api.status.FlinkSessionJobStatus

Description: Last observed status of the Flink Session job.

ParameterTypeDocs
jobStatusorg.apache.flink.kubernetes.operator.api.status.JobStatusLast observed status of the Flink job on Application/Session cluster.
errorjava.lang.StringError information about the FlinkDeployment/FlinkSessionJob.
lifecycleStateorg.apache.flink.kubernetes.operator.api.lifecycle.ResourceLifecycleStateLifecycle state of the Flink resource (including being rolled back, failed etc.).
reconciliationStatusorg.apache.flink.kubernetes.operator.api.status.FlinkSessionJobReconciliationStatusStatus of the last reconcile operation.

JobManagerDeploymentStatus

Class: org.apache.flink.kubernetes.operator.api.status.JobManagerDeploymentStatus

Description: Status of the Flink JobManager Kubernetes deployment.

ValueDocs
READYJobManager is running and ready to receive REST API calls.
DEPLOYED_NOT_READYJobManager is running but not ready yet to receive REST API calls.
DEPLOYINGJobManager process is starting up.
MISSINGJobManager deployment not found, probably not started or killed by user.
ERRORDeployment in terminal error, requires spec change for reconciliation to continue.

JobStatus

Class: org.apache.flink.kubernetes.operator.api.status.JobStatus

Description: Last observed status of the Flink job within an application deployment.

ParameterTypeDocs
jobNamejava.lang.StringName of the job.
jobIdjava.lang.StringFlink JobId of the Job.
statejava.lang.StringLast observed state of the job.
startTimejava.lang.StringStart time of the job.
updateTimejava.lang.StringUpdate time of the job.
savepointInfoorg.apache.flink.kubernetes.operator.api.status.SavepointInfoInformation about pending and last savepoint for the job.
checkpointInfoorg.apache.flink.kubernetes.operator.api.status.CheckpointInfoInformation about pending and last checkpoint for the job.

ReconciliationState

Class: org.apache.flink.kubernetes.operator.api.status.ReconciliationState

Description: Current state of the reconciliation.

ValueDocs
DEPLOYEDThe lastReconciledSpec is currently deployed.
UPGRADINGThe spec is being upgraded.
ROLLING_BACKIn the process of rolling back to the lastStableSpec.
ROLLED_BACKRolled back to the lastStableSpec.

Savepoint

Class: org.apache.flink.kubernetes.operator.api.status.Savepoint

Description: Represents information about a finished savepoint.

ParameterTypeDocs
timeStamplongMillisecond timestamp at the start of the savepoint operation.
locationjava.lang.StringExternal pointer of the savepoint can be used to recover jobs.
triggerTypeorg.apache.flink.kubernetes.operator.api.status.SnapshotTriggerTypeSavepoint trigger mechanism.
formatTypeorg.apache.flink.kubernetes.operator.api.status.SavepointFormatTypeSavepoint format.
triggerNoncejava.lang.LongNonce value used when the savepoint was triggered manually {@link SnapshotTriggerType#MANUAL}, null for other types of savepoints.

SavepointFormatType

Class: org.apache.flink.kubernetes.operator.api.status.SavepointFormatType

Description: Savepoint format type.

ValueDocs
CANONICALA canonical, common for all state backends format.
NATIVEA format specific for the chosen state backend.
UNKNOWNSavepoint format unknown, if the savepoint was not triggered by the operator.

SavepointInfo

Class: org.apache.flink.kubernetes.operator.api.status.SavepointInfo

Description: Stores savepoint related information.

ParameterTypeDocs
lastSavepointorg.apache.flink.kubernetes.operator.api.status.SavepointLast completed savepoint by the operator.
triggerIdjava.lang.StringTrigger id of a pending savepoint operation.
triggerTimestampjava.lang.LongTrigger timestamp of a pending savepoint operation.
triggerTypeorg.apache.flink.kubernetes.operator.api.status.SnapshotTriggerTypeSavepoint trigger mechanism.
formatTypeorg.apache.flink.kubernetes.operator.api.status.SavepointFormatTypeSavepoint format.
savepointHistoryjava.util.List<org.apache.flink.kubernetes.operator.api.status.Savepoint>List of recent savepoints.
lastPeriodicSavepointTimestamplongTrigger timestamp of last periodic savepoint operation.

SnapshotTriggerType

Class: org.apache.flink.kubernetes.operator.api.status.SnapshotTriggerType

Description: Snapshot trigger mechanism.

ValueDocs
MANUALSnapshot manually triggered by changing a triggerNonce.
PERIODICSnapshot periodically triggered by the operator.
UPGRADESnapshot triggered during stateful upgrade.
UNKNOWNSnapshot trigger mechanism unknown, such as savepoint retrieved directly from Flink job.

TaskManagerInfo

Class: org.apache.flink.kubernetes.operator.api.status.TaskManagerInfo

Description: Last observed status of the Flink job within an application deployment.

ParameterTypeDocs
labelSelectorjava.lang.StringTaskManager label selector.
replicasintNumber of TaskManager replicas if defined in the spec.