flink-operator支持configmap和spec.flink-configuration两种配置，且spec.flink-configuration的优先级高于configmap，修改立即生效，默认会加载flink-config.yaml的configmap配置。

默认配置

文件名为link-config-resourceName.yaml，以下为其中一个demo：

➜  ~ kubectl get cm -n flink flink-config-basic-example -o yaml
apiVersion: v1
data:
  flink-conf.yaml: "blob.server.port: 6124\nkubernetes.jobmanager.annotations: flinkdeployment.flink.apache.org/generation:3\nkubernetes.jobmanager.replicas:
    1\njobmanager.rpc.address: basic-example.flink\nkubernetes.service-account: flink\nkubernetes.cluster-id:
    basic-example\nkubernetes.taskmanager.cpu.amount: 1.0\n$internal.application.program-args:
    \nparallelism.default: 2\nkubernetes.namespace: flink\ntaskmanager.numberOfTaskSlots:
    2\nkubernetes.rest-service.exposed.type: ClusterIP\nkubernetes.jobmanager.owner.reference:
    uid:0de2d2a7-2f1a-4595-add9-72a7f0bd8b9c,kind:FlinkDeployment,apiVersion:flink.apache.org/v1beta1,blockOwnerDeletion:true,controller:false,name:basic-example\nkubernetes.container.image.ref:
    harbor.hellobike.cn/kube-public/flink:1.17\ntaskmanager.memory.process.size: 2048m\nkubernetes.internal.jobmanager.entrypoint.class:
    org.apache.flink.kubernetes.entrypoint.KubernetesApplicationClusterEntrypoint\npipeline.name:
    basic-example\nweb.cancel.enable: false\nexecution.target: kubernetes-application\nexecution.shutdown-on-application-finish:
    false\njobmanager.memory.process.size: 2048m\ntaskmanager.rpc.port: 6122\nkubernetes.jobmanager.cpu.amount:
    1.0\ninternal.cluster.execution-mode: NORMAL\n$internal.pipeline.job-id: 457164662f25d342a566635bb8cee7b6\nexecution.checkpointing.externalized-checkpoint-retention:
    RETAIN_ON_CANCELLATION\npipeline.jars: local:///opt/flink/examples/streaming/StateMachineExample.jar\n$internal.flink.version:
    v1_17\nkubernetes.pod-template-file.jobmanager: /tmp/flink_op_generated_podTemplate_6579629526146254494.yaml\n"
  log4j-console.properties: |
    ################################################################################
    #  Licensed to the Apache Software Foundation (ASF) under one
    #  or more contributor license agreements.  See the NOTICE file
    #  distributed with this work for additional information
    #  regarding copyright ownership.  The ASF licenses this file
    #  to you under the Apache License, Version 2.0 (the
    #  "License"); you may not use this file except in compliance
    #  with the License.  You may obtain a copy of the License at
    #
    #      http://www.apache.org/licenses/LICENSE-2.0
    #
    #  Unless required by applicable law or agreed to in writing, software
    #  distributed under the License is distributed on an "AS IS" BASIS,
    #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    #  See the License for the specific language governing permissions and
    # limitations under the License.
    ################################################################################

    # This affects logging for both user code and Flink
    rootLogger.level = INFO
    rootLogger.appenderRef.console.ref = ConsoleAppender
    rootLogger.appenderRef.rolling.ref = RollingFileAppender

    # Uncomment this if you want to _only_ change Flink's logging
    #logger.flink.name = org.apache.flink
    #logger.flink.level = INFO

    # The following lines keep the log level of common libraries/connectors on
    # log level INFO. The root logger does not override this. You have to manually
    # change the log levels here.
    logger.akka.name = akka
    logger.akka.level = INFO
    logger.kafka.name= org.apache.kafka
    logger.kafka.level = INFO
    logger.hadoop.name = org.apache.hadoop
    logger.hadoop.level = INFO
    logger.zookeeper.name = org.apache.zookeeper
    logger.zookeeper.level = INFO

    # Log all infos to the console
    appender.console.name = ConsoleAppender
    appender.console.type = CONSOLE
    appender.console.layout.type = PatternLayout
    appender.console.layout.pattern = %d{yyyy-MM-dd HH:mm:ss,SSS} %-5p %-60c %x - %m%n

    # Log all infos in the given rolling file
    appender.rolling.name = RollingFileAppender
    appender.rolling.type = RollingFile
    appender.rolling.append = false
    appender.rolling.fileName = ${sys:log.file}
    appender.rolling.filePattern = ${sys:log.file}.%i
    appender.rolling.layout.type = PatternLayout
    appender.rolling.layout.pattern = %d{yyyy-MM-dd HH:mm:ss,SSS} %-5p %-60c %x - %m%n
    appender.rolling.policies.type = Policies
    appender.rolling.policies.size.type = SizeBasedTriggeringPolicy
    appender.rolling.policies.size.size=100MB
    appender.rolling.strategy.type = DefaultRolloverStrategy
    appender.rolling.strategy.max = 10

    # Suppress the irrelevant (wrong) warnings from the Netty channel handler
    logger.netty.name = org.apache.flink.shaded.akka.org.jboss.netty.channel.DefaultChannelPipeline
    logger.netty.level = OFF

    # Flink Deployment Logging Overrides
    # rootLogger.level = DEBUG
kind: ConfigMap
metadata:
  creationTimestamp: "2023-12-11T08:41:00Z"
  labels:
    app: basic-example
    type: flink-native-kubernetes
  name: flink-config-basic-example
  namespace: flink
  ownerReferences:
  - apiVersion: apps/v1
    blockOwnerDeletion: true
    controller: true
    kind: Deployment
    name: basic-example
    uid: cebef99f-2260-49be-b825-eab0bf2dc680
  resourceVersion: "6363470"
  uid: 4bbeb9f0-7e1b-431a-b084-51702fcbfd41

日志相关配置可以参考文档页面

Flink 版本和命名空间特定默认值 #

# Flink Version specific defaults 
kubernetes.operator.default-configuration.flink-version.v1_17.k1: v1
kubernetes.operator.default-configuration.flink-version.v1_17.k2: v2
kubernetes.operator.default-configuration.flink-version.v1_17.k3: v3

# Namespace specific defaults
kubernetes.operator.default-configuration.namespace.ns1.k1: v1
kubernetes.operator.default-configuration.namespace.ns1.k2: v2
kubernetes.operator.default-configuration.namespace.ns2.k1: v1

动态operator配置 #

flink-operator支持通过configmap的动态配置更改，动态配置默认开启，可以通过kubernetes.operator.dynamic.config.enabled为 false 来禁用。可以通过kubernetes.operator.dynamic.config.check.interval配置动态配置检查的时间间隔，默认是5分钟。

leader选举和高可用性 #

以下两个参数用来配置是都启用leader选举

kubernetes.operator.leader-election.enabled: true
kubernetes.operator.leader-election.lease-name: flink-operator-lease

flink-operator相关配置

默认配置

Flink 版本和命名空间特定默认值 #

动态operator配置 #

leader选举和高可用性 #

环境变量＃

operator配置参考 #

系统配置＃

资源/用户配置 #

弹性配置 #

系统metric配置 #

高级系统配置 #

flink-operator相关配置

默认配置

Flink 版本和命名空间特定默认值 #

动态operator配置 #

leader选举和高可用性 #

环境变量 ＃

operator配置参考 #

系统配置 ＃

资源/用户配置 #

弹性配置 #

系统metric配置 #

高级系统配置 #

环境变量＃

系统配置＃