当前位置： 首页 > news >正文

k8s之flink的几种创建方式

news 2025/10/13 3:58:58

在此之前需要部署一下私人docker仓库，教程搭建 Docker 镜像仓库

注意：每台节点的daemon.json都需要配置"insecure-registries": ["http://主机IP:8080"] 并重启

一、session 模式

Session 模式是指在 Kubernetes 上启动一个共享的 Flink 集群（由 JobManager 和多个 TaskManagers 组成），然后多个 Flink 作业可以提交到这个共享集群上运行。这个模式下的集群会长期运行，直到用户手动停止它。这种模式适合多个作业需要频繁启动和停止，且对集群资源的利用率要求较高的场景。


Kubernetes 中的 Flink Session 集群部署至少包含三个组件：

  • 运行JobManager的部署

  • TaskManagers池的部署

  • 暴露JobManager的 REST 和 UI 端口的服务

1.1 Native Kubernetes 模式

Flink 的 Native Kubernetes 模式允许用户将 Apache Flink 无缝集成至 Kubernetes 环境中，实现在 Kubernetes 上运行 Flink 作业和应用程序。这种模式的主要优点是 Flink 能够利用 Kubernetes 提供的资源编排和管理能力，简化 Flink 集群的部署和管理。

在 Native Kubernetes 模式下，Flink 集群的部署和管理是通过 Flink 的 Kubernetes Operator 或者是直接使用 kubectl 命令行工具来完成的。Flink 的每个组件都被作为 Kubernetes 资源（如Pods, Services等）来管理。

1.1.1 构建镜像 Dockerfile

1.创建dockerfileFROM flink:1.16.2
RUN rm -f /etc/localtime && ln -sv /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && echo "Asia/Shanghai" > /etc/timezone
RUN export LANG=zh_CN.UTF-82.开始构建镜像
docker build -t  192.168.20.62:2333/bigdata/flink-session:1.16.23.上传镜像
docker push 192.168.20.62:2333/bigdata/flink-session:1.16.2

1.1.2 创建命名空间和 serviceaccount

# 创建namespace
kubectl create ns flink# 创建serviceaccount
kubectl create serviceaccount flink-service-account -n flink# 用户授权
kubectl create clusterrolebinding flink-role-binding-flink --clusterrole=edit --serviceaccount=flink:flink-service-account

1.1.3 创建 flink 集群

./bin/kubernetes-session.sh \
-Dkubernetes.cluster-id=my-first-flink-cluster  \
-Dkubernetes.container.image=192.168.20.62:2333/bigdata/flink-session:1.16.2 \
-Dkubernetes.namespace=flink \
-Dkubernetes.jobmanager.service-account=flink-service-account \
-Dkubernetes.rest-service.exposed.type=NodePort

1.1.4 提交任务

./bin/flink run \
--target kubernetes-session \
-Dkubernetes.cluster-id=my-first-flink-cluster \
-Dkubernetes.namespace=flink \
-Dkubernetes.jobmanager.service-account=flink-service-account \
./examples/streaming/TopSpeedWindowing.jar \
-Dkubernetes.taskmanager.cpu=2000m \
-Dexternal-resource.limits.kubernetes.cpu=4000m \
-Dexternal-resource.limits.kubernetes.memory=10Gi \
-Dexternal-resource.requests.kubernetes.cpu=2000m \
-Dexternal-resource.requests.kubernetes.memory=8Gi \
-Dkubernetes.taskmanager.cpu=2000m \

1.1.5 删除 flink 集群

kubectl delete deployment/my-first-flink-cluster -n flink
kubectl delete ns flink --force

1.2 Standalone 模式

Standalone 模式通常指的是在 Kubernetes 集群上运行 Flink 的一个单独集群环境，但它不是专门为 Kubernetes 设计的。在 Kubernetes 上使用 Standalone 模式意味着你将手动设置 Flink 集群（包括 JobManager 和 TaskManagers），而不是通过 Kubernetes Operator 或者其他 Kubernetes 原生的资源调度和管理机制。换句话说，在这个模式下，Flink 集群的各个组件（JobManager和TaskManagers）运行在 Kubernetes Pod 中，但是它们的生命周期管理并不是通过 Kubernetes 原生的支持来实现的，而是类似于在任何其他环境中部署 Flink 的传统方式。

1.2.1 创建docker-entrypoint.sh脚本

#!/usr/bin/env bash###############################################################################
#  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.
###############################################################################COMMAND_STANDALONE="standalone-job"
COMMAND_HISTORY_SERVER="history-server"# If unspecified, the hostname of the container is taken as the JobManager address
JOB_MANAGER_RPC_ADDRESS=${JOB_MANAGER_RPC_ADDRESS:-$(hostname -f)}
CONF_FILE="${FLINK_HOME}/conf/flink-conf.yaml"drop_privs_cmd() {if [ $(id -u) != 0 ]; then# Don't need to drop privs if EUID != 0returnelif [ -x /sbin/su-exec ]; then# Alpineecho su-exec adminelse# Othersecho gosu adminfi
}copy_plugins_if_required() {if [ -z "$ENABLE_BUILT_IN_PLUGINS" ]; thenreturn 0fiecho "Enabling required built-in plugins"for target_plugin in $(echo "$ENABLE_BUILT_IN_PLUGINS" | tr ';' ' '); doecho "Linking ${target_plugin} to plugin directory"plugin_name=${target_plugin%.jar}mkdir -p "${FLINK_HOME}/plugins/${plugin_name}"if [ ! -e "${FLINK_HOME}/opt/${target_plugin}" ]; thenecho "Plugin ${target_plugin} does not exist. Exiting."exit 1elseln -fs "${FLINK_HOME}/opt/${target_plugin}" "${FLINK_HOME}/plugins/${plugin_name}"echo "Successfully enabled ${target_plugin}"fidone
}set_config_option() {local option=$1local value=$2# escape periods for usage in regular expressionslocal escaped_option=$(echo ${option} | sed -e "s/\./\\\./g")# either override an existing entry, or append a new oneif grep -E "^${escaped_option}:.*" "${CONF_FILE}" > /dev/null; thensed -i -e "s/${escaped_option}:.*/$option: $value/g" "${CONF_FILE}"elseecho "${option}: ${value}" >> "${CONF_FILE}"fi
}prepare_configuration() {set_config_option jobmanager.rpc.address ${JOB_MANAGER_RPC_ADDRESS}set_config_option blob.server.port 6124set_config_option query.server.port 6125if [ -n "${TASK_MANAGER_NUMBER_OF_TASK_SLOTS}" ]; thenset_config_option taskmanager.numberOfTaskSlots ${TASK_MANAGER_NUMBER_OF_TASK_SLOTS}fiif [ -n "${FLINK_PROPERTIES}" ]; thenecho "${FLINK_PROPERTIES}" >> "${CONF_FILE}"fienvsubst < "${CONF_FILE}" > "${CONF_FILE}.tmp" && mv "${CONF_FILE}.tmp" "${CONF_FILE}"
}maybe_enable_jemalloc() {if [ "${DISABLE_JEMALLOC:-false}" == "false" ]; thenJEMALLOC_PATH="/usr/lib/$(uname -m)-linux-gnu/libjemalloc.so"JEMALLOC_FALLBACK="/usr/lib/x86_64-linux-gnu/libjemalloc.so"if [ -f "$JEMALLOC_PATH" ]; thenexport LD_PRELOAD=$LD_PRELOAD:$JEMALLOC_PATHelif [ -f "$JEMALLOC_FALLBACK" ]; thenexport LD_PRELOAD=$LD_PRELOAD:$JEMALLOC_FALLBACKelseif [ "$JEMALLOC_PATH" = "$JEMALLOC_FALLBACK" ]; thenMSG_PATH=$JEMALLOC_PATHelseMSG_PATH="$JEMALLOC_PATH and $JEMALLOC_FALLBACK"fiecho "WARNING: attempted to load jemalloc from $MSG_PATH but the library couldn't be found. glibc will be used instead."fifi
}maybe_enable_jemalloccopy_plugins_if_requiredprepare_configurationargs=("$@")
if [ "$1" = "help" ]; thenprintf "Usage: $(basename "$0") (jobmanager|${COMMAND_STANDALONE}|taskmanager|${COMMAND_HISTORY_SERVER})\n"printf "    Or $(basename "$0") help\n\n"printf "By default, Flink image adopts jemalloc as default memory allocator. This behavior can be disabled by setting the 'DISABLE_JEMALLOC' environment variable to 'true'.\n"exit 0
elif [ "$1" = "jobmanager" ]; thenargs=("${args[@]:1}")echo "Starting Job Manager"exec $(drop_privs_cmd) "$FLINK_HOME/bin/jobmanager.sh" start-foreground "${args[@]}"
elif [ "$1" = ${COMMAND_STANDALONE} ]; thenargs=("${args[@]:1}")echo "Starting Job Manager"exec $(drop_privs_cmd) "$FLINK_HOME/bin/standalone-job.sh" start-foreground "${args[@]}"
elif [ "$1" = ${COMMAND_HISTORY_SERVER} ]; thenargs=("${args[@]:1}")echo "Starting History Server"exec $(drop_privs_cmd) "$FLINK_HOME/bin/historyserver.sh" start-foreground "${args[@]}"
elif [ "$1" = "taskmanager" ]; thenargs=("${args[@]:1}")echo "Starting Task Manager"exec $(drop_privs_cmd) "$FLINK_HOME/bin/taskmanager.sh" start-foreground "${args[@]}"
fiargs=("${args[@]}")# Running command in pass-through mode
exec $(drop_privs_cmd) "${args[@]}"

1.2.2 编排 Dockerfile

FROM centos:7.9.2009USER root# 安装常用工具
RUN yum install -y vim tar wget curl rsync bzip2 iptables tcpdump less telnet net-tools lsof# 设置时区，默认是UTC时区
RUN rm -f /etc/localtime && ln -sv /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && echo "Asia/Shanghai" > /etc/timezoneRUN mkdir -p /opt/apacheADD jdk-8u231-linux-x64.tar.gz /opt/apache/ADD flink-1.16.2-bin-scala_2.12.tgz  /opt/apache/ENV FLINK_HOME /opt/apache/flink-1.16.2
ENV JAVA_HOME /opt/apache/jdk1.8.0_231
ENV PATH $JAVA_HOME/bin:$PATH# 创建用户应用jar目录
RUN mkdir $FLINK_HOME/usrlib/#RUN mkdir home
COPY docker-entrypoint.sh /opt/apache/
RUN chmod +x /opt/apache/docker-entrypoint.shRUN groupadd --system --gid=9999 admin && useradd --system --home-dir $FLINK_HOME --uid=9999 --gid=admin adminRUN chown -R admin:admin /opt/apache#设置的工作目录
WORKDIR $FLINK_HOME# 对外暴露端口
EXPOSE 6123 8081# 执行脚本，构建镜像时不执行，运行实例才会执行
ENTRYPOINT ["/opt/apache/docker-entrypoint.sh"]
CMD ["help"]

1.2.3 开始构建镜像

docker build -t 192.168.20.62:2333/bigdata/flink-centos-admin:1.16.2 . --no-cache# 上传镜像
docker push 192.168.20.62:2333/bigdata/flink-centos-admin:1.16.2

1.2.4 创建命名空间和 serviceaccount

# 创建namespace
kubectl create ns flink# 创建serviceaccount
kubectl create serviceaccount flink-service-account -n flink# 用户授权
kubectl create clusterrolebinding flink-role-binding-flink --clusterrole=edit --serviceaccount=flink:flink-service-account

1.2.5 编排 yaml 文件

1.2.5.1  flink-configuration-configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:name: flink-configlabels:app: flink
data:flink-conf.yaml: |+jobmanager.rpc.address: flink-jobmanagertaskmanager.numberOfTaskSlots: 2blob.server.port: 6124jobmanager.rpc.port: 6123taskmanager.rpc.port: 6122queryable-state.proxy.ports: 6125jobmanager.memory.process.size: 3200mtaskmanager.memory.process.size: 2728mtaskmanager.memory.flink.size: 2280mparallelism.default: 2log4j-console.properties: |+# This affects logging for both user code and FlinkrootLogger.level = INFOrootLogger.appenderRef.console.ref = ConsoleAppenderrootLogger.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 = akkalogger.akka.level = INFOlogger.kafka.name= org.apache.kafkalogger.kafka.level = INFOlogger.hadoop.name = org.apache.hadooplogger.hadoop.level = INFOlogger.zookeeper.name = org.apache.zookeeperlogger.zookeeper.level = INFO# Log all infos to the consoleappender.console.name = ConsoleAppenderappender.console.type = CONSOLEappender.console.layout.type = PatternLayoutappender.console.layout.pattern = %d{yyyy-MM-dd HH:mm:ss,SSS} %-5p %-60c %x - %m%n# Log all infos in the given rolling fileappender.rolling.name = RollingFileAppenderappender.rolling.type = RollingFileappender.rolling.append = falseappender.rolling.fileName = ${sys:log.file}appender.rolling.filePattern = ${sys:log.file}.%iappender.rolling.layout.type = PatternLayoutappender.rolling.layout.pattern = %d{yyyy-MM-dd HH:mm:ss,SSS} %-5p %-60c %x - %m%nappender.rolling.policies.type = Policiesappender.rolling.policies.size.type = SizeBasedTriggeringPolicyappender.rolling.policies.size.size=100MBappender.rolling.strategy.type = DefaultRolloverStrategyappender.rolling.strategy.max = 10# Suppress the irrelevant (wrong) warnings from the Netty channel handlerlogger.netty.name = org.jboss.netty.channel.DefaultChannelPipelinelogger.netty.level = OFF
1.2.5.2 jobmanager-service.yaml
apiVersion: v1
kind: Service
metadata:name: flink-jobmanager
spec:type: ClusterIPports:- name: rpcport: 6123- name: blob-serverport: 6124- name: webuiport: 8081selector:app: flinkcomponent: jobmanager
1.2.5.3 jobmanager-rest-service.yaml

将 jobmanager rest端口公开为公共 Kubernetes 节点的端口

apiVersion: v1
kind: Service
metadata:name: flink-jobmanager-rest
spec:type: NodePortports:- name: restport: 8081targetPort: 8081nodePort: 30081selector:app: flinkcomponent: jobmanager
1.2.5.4 taskmanager-query-state-service.yaml

公开 TaskManager 端口以访问可查询状态作为公共 Kubernetes 节点的端口

apiVersion: v1
kind: Service
metadata:name: flink-taskmanager-query-state
spec:type: NodePortports:- name: query-stateport: 6125targetPort: 6125nodePort: 30025selector:app: flinkcomponent: taskmanager
1.2.5.5  jobmanager-session-deployment-non-ha.yaml
apiVersion: apps/v1
kind: Deployment
metadata:name: flink-jobmanager
spec:replicas: 1selector:matchLabels:app: flinkcomponent: jobmanagertemplate:metadata:labels:app: flinkcomponent: jobmanagerspec:containers:- name: jobmanagerimage: 192.168.20.62:2333/bigdata/flink-centos-admin:1.16.2args: ["jobmanager"]ports:- containerPort: 6123name: rpc- containerPort: 6124name: blob-server- containerPort: 8081name: webuilivenessProbe:tcpSocket:port: 6123initialDelaySeconds: 30periodSeconds: 60volumeMounts:- name: flink-config-volumemountPath: /opt/apache/flink-1.16.2/conf/securityContext:runAsUser: 9999  # refers to user _flink_ from official flink image, change if necessaryvolumes:- name: flink-config-volumeconfigMap:name: flink-configitems:- key: flink-conf.yamlpath: flink-conf.yaml- key: log4j-console.propertiespath: log4j-console.properties
1.2.5.6  taskmanager-session-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:name: flink-taskmanager
spec:replicas: 2selector:matchLabels:app: flinkcomponent: taskmanagertemplate:metadata:labels:app: flinkcomponent: taskmanagerspec:containers:- name: taskmanagerimage: 192.168.20.62:2333/bigdata/flink-centos-admin:1.16.2args: ["taskmanager"]ports:- containerPort: 6122name: rpc- containerPort: 6125name: query-statelivenessProbe:tcpSocket:port: 6122initialDelaySeconds: 30periodSeconds: 60volumeMounts:- name: flink-config-volumemountPath: /opt/apache/flink-1.16.2/conf/securityContext:runAsUser: 9999  # refers to user _flink_ from official flink image, change if necessaryvolumes:- name: flink-config-volumeconfigMap:name: flink-configitems:- key: flink-conf.yamlpath: flink-conf.yaml- key: log4j-console.propertiespath: log4j-console.properties

1.2.6 创建 flink 集群

kubectl create ns flink
# Configuration and service definition
kubectl create -f flink-configuration-configmap.yaml -n flink# service
kubectl create -f jobmanager-service.yaml -n flink
kubectl create -f jobmanager-rest-service.yaml -n flink
kubectl create -f taskmanager-query-state-service.yaml -n flink# Create the deployments for the cluster
kubectl create -f jobmanager-session-deployment-non-ha.yaml -n flink
kubectl create -f taskmanager-session-deployment.yaml -n flink

1.2.7 提交任务

./bin/flink run -m 192.168.20.62:30081 ./examples/streaming/TopSpeedWindowing.jar

1.2.8 删除集群

kubectl delete -f jobmanager-service.yaml -n flink
kubectl delete -f flink-configuration-configmap.yaml -n flink
kubectl delete -f taskmanager-session-deployment.yaml -n flink
kubectl delete -f jobmanager-session-deployment.yaml -n flink
kubectl delete ns flink --force

二 、application 模式（推荐）

Kubernetes 中一个基本的 Flink Application 集群部署包含三个组件

  • 运行JobManager的应用程序

  • TaskManagers池的部署

  • 暴露JobManager的 REST 和 UI 端口的服务

2.1 Native Kubernetes 模式（常用）

2.1.1 构建镜像 Dockerfile

FROM flink:1.16.2
RUN rm -f /etc/localtime && ln -sv /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && echo "Asia/Shanghai" > /etc/timezone
RUN export LANG=zh_CN.UTF-8
RUN mkdir -p $FLINK_HOME/usrlib
COPY   ./flink-1.16.2/examples/streaming/TopSpeedWindowing.jar /opt/flink/usrlib/开始构建镜像docker build -t 192.168.20.62:2333/bigdata/flink-application:1.16.2 . --no-cache
docker push  192.168.20.62:2333/bigdata/flink-application:1.16.2

2.1.2 创建命名空间和 serviceacount

# 创建namespace
kubectl create ns flink
# 创建serviceaccount
kubectl create serviceaccount flink-service-account -n flink
# 用户授权
kubectl create clusterrolebinding flink-role-binding-flink --clusterrole=edit --serviceaccount=flink:flink-service-account

2.1.3 创建 flink 集群并提交任务

./bin/flink run-application \--target kubernetes-application \-Dkubernetes.cluster-id=my-first-application-cluster  \-Dkubernetes.container.image=192.168.20.62:2333/bigdata/flink-application:1.16.2 \-Dkubernetes.jobmanager.replicas=1 \-Dkubernetes.namespace=flink \-Dkubernetes.jobmanager.service-account=flink-service-account \-Dexternal-resource.limits.kubernetes.cpu=2000m \-Dexternal-resource.limits.kubernetes.memory=2Gi \-Dexternal-resource.requests.kubernetes.cpu=1000m \-Dexternal-resource.requests.kubernetes.memory=1Gi \-Dkubernetes.rest-service.exposed.type=NodePort \local:///opt/flink/usrlib/TopSpeedWindowing.jar

local是application模式中唯一支持的方案。local 代表本地环境，这里即 pod 或者容器环境，并非宿主机。

2.1.4 删除 flink 集群

kubectl delete deployment/my-first-application-cluster -n flink
kubectl delete ns flink --force

2.2 Standalone 模式

在此之前需要使用nfs设置一个共享目录，配置文件中设置共享目录是/mnt/bigdata/flink/usrlib

NFS共享存储服务

2.2.1 创建启动脚本docker-entrypoint.sh

#!/usr/bin/env bash###############################################################################
#  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.
###############################################################################COMMAND_STANDALONE="standalone-job"
COMMAND_HISTORY_SERVER="history-server"# If unspecified, the hostname of the container is taken as the JobManager address
JOB_MANAGER_RPC_ADDRESS=${JOB_MANAGER_RPC_ADDRESS:-$(hostname -f)}
CONF_FILE="${FLINK_HOME}/conf/flink-conf.yaml"drop_privs_cmd() {if [ $(id -u) != 0 ]; then# Don't need to drop privs if EUID != 0returnelif [ -x /sbin/su-exec ]; then# Alpineecho su-exec adminelse# Othersecho gosu adminfi
}copy_plugins_if_required() {if [ -z "$ENABLE_BUILT_IN_PLUGINS" ]; thenreturn 0fiecho "Enabling required built-in plugins"for target_plugin in $(echo "$ENABLE_BUILT_IN_PLUGINS" | tr ';' ' '); doecho "Linking ${target_plugin} to plugin directory"plugin_name=${target_plugin%.jar}mkdir -p "${FLINK_HOME}/plugins/${plugin_name}"if [ ! -e "${FLINK_HOME}/opt/${target_plugin}" ]; thenecho "Plugin ${target_plugin} does not exist. Exiting."exit 1elseln -fs "${FLINK_HOME}/opt/${target_plugin}" "${FLINK_HOME}/plugins/${plugin_name}"echo "Successfully enabled ${target_plugin}"fidone
}set_config_option() {local option=$1local value=$2# escape periods for usage in regular expressionslocal escaped_option=$(echo ${option} | sed -e "s/\./\\\./g")# either override an existing entry, or append a new oneif grep -E "^${escaped_option}:.*" "${CONF_FILE}" > /dev/null; thensed -i -e "s/${escaped_option}:.*/$option: $value/g" "${CONF_FILE}"elseecho "${option}: ${value}" >> "${CONF_FILE}"fi
}prepare_configuration() {set_config_option jobmanager.rpc.address ${JOB_MANAGER_RPC_ADDRESS}set_config_option blob.server.port 6124set_config_option query.server.port 6125if [ -n "${TASK_MANAGER_NUMBER_OF_TASK_SLOTS}" ]; thenset_config_option taskmanager.numberOfTaskSlots ${TASK_MANAGER_NUMBER_OF_TASK_SLOTS}fiif [ -n "${FLINK_PROPERTIES}" ]; thenecho "${FLINK_PROPERTIES}" >> "${CONF_FILE}"fienvsubst < "${CONF_FILE}" > "${CONF_FILE}.tmp" && mv "${CONF_FILE}.tmp" "${CONF_FILE}"
}maybe_enable_jemalloc() {if [ "${DISABLE_JEMALLOC:-false}" == "false" ]; thenJEMALLOC_PATH="/usr/lib/$(uname -m)-linux-gnu/libjemalloc.so"JEMALLOC_FALLBACK="/usr/lib/x86_64-linux-gnu/libjemalloc.so"if [ -f "$JEMALLOC_PATH" ]; thenexport LD_PRELOAD=$LD_PRELOAD:$JEMALLOC_PATHelif [ -f "$JEMALLOC_FALLBACK" ]; thenexport LD_PRELOAD=$LD_PRELOAD:$JEMALLOC_FALLBACKelseif [ "$JEMALLOC_PATH" = "$JEMALLOC_FALLBACK" ]; thenMSG_PATH=$JEMALLOC_PATHelseMSG_PATH="$JEMALLOC_PATH and $JEMALLOC_FALLBACK"fiecho "WARNING: attempted to load jemalloc from $MSG_PATH but the library couldn't be found. glibc will be used instead."fifi
}maybe_enable_jemalloccopy_plugins_if_requiredprepare_configurationargs=("$@")
if [ "$1" = "help" ]; thenprintf "Usage: $(basename "$0") (jobmanager|${COMMAND_STANDALONE}|taskmanager|${COMMAND_HISTORY_SERVER})\n"printf "    Or $(basename "$0") help\n\n"printf "By default, Flink image adopts jemalloc as default memory allocator. This behavior can be disabled by setting the 'DISABLE_JEMALLOC' environment variable to 'true'.\n"exit 0
elif [ "$1" = "jobmanager" ]; thenargs=("${args[@]:1}")echo "Starting Job Manager"exec $(drop_privs_cmd) "$FLINK_HOME/bin/jobmanager.sh" start-foreground "${args[@]}"
elif [ "$1" = ${COMMAND_STANDALONE} ]; thenargs=("${args[@]:1}")echo "Starting Job Manager"exec $(drop_privs_cmd) "$FLINK_HOME/bin/standalone-job.sh" start-foreground "${args[@]}"
elif [ "$1" = ${COMMAND_HISTORY_SERVER} ]; thenargs=("${args[@]:1}")echo "Starting History Server"exec $(drop_privs_cmd) "$FLINK_HOME/bin/historyserver.sh" start-foreground "${args[@]}"
elif [ "$1" = "taskmanager" ]; thenargs=("${args[@]:1}")echo "Starting Task Manager"exec $(drop_privs_cmd) "$FLINK_HOME/bin/taskmanager.sh" start-foreground "${args[@]}"
fiargs=("${args[@]}")# Running command in pass-through mode
exec $(drop_privs_cmd) "${args[@]}"

2.2.2 编排Dockerfile

FROM centos:7.9.2009USER root# 安装常用工具
RUN yum install -y vim tar wget curl rsync bzip2 iptables tcpdump less telnet net-tools lsof# 设置时区，默认是UTC时区
RUN rm -f /etc/localtime && ln -sv /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && echo "Asia/Shanghai" > /etc/timezoneRUN mkdir -p /opt/apacheADD jdk-8u231-linux-x64.tar.gz /opt/apache/ADD flink-1.16.2-bin-scala_2.12.tgz  /opt/apache/ENV FLINK_HOME /opt/apache/flink-1.16.2
ENV JAVA_HOME /opt/apache/jdk1.8.0_231
ENV PATH $JAVA_HOME/bin:$PATH# 创建用户应用jar目录
RUN mkdir $FLINK_HOME/usrlib/#RUN mkdir home
COPY docker-entrypoint.sh /opt/apache/COPY /RUN groupadd --system --gid=9999 admin && useradd --system --home-dir $FLINK_HOME --uid=9999 --gid=admin adminRUN chown -R admin:admin /opt/apache
RUN chmod +x /opt/apache/docker-entrypoint.sh#设置的工作目录
WORKDIR $FLINK_HOME# 对外暴露端口
EXPOSE 6123 8081# 执行脚本，构建镜像时不执行，运行实例才会执行
ENTRYPOINT ["/opt/apache/docker-entrypoint.sh"]
CMD ["help"]docker build -t 192.168.20.62:2333/bigdata/flink-centos-admin-application:1.16.2 . --no-cache
docker push 192.168.20.62:2333/bigdata/flink-centos-admin-application:1.16.2

2.2.3 创建命名空间和 serviceacount

# 创建namespace
kubectl create ns flink# 创建serviceaccount
kubectl create serviceaccount flink-service-account -n flink# 用户授权
kubectl create clusterrolebinding flink-role-binding-flink --clusterrole=edit --serviceaccount=flink:flink-service-account

2.2.4 flink-configuration-configmap.yaml

apiVersion: v1
kind: ConfigMap
metadata:name: flink-configlabels:app: flink
data:flink-conf.yaml: |+jobmanager.rpc.address: flink-jobmanagertaskmanager.numberOfTaskSlots: 2blob.server.port: 6124jobmanager.rpc.port: 6123taskmanager.rpc.port: 6122queryable-state.proxy.ports: 6125jobmanager.memory.process.size: 3200mtaskmanager.memory.process.size: 2728mtaskmanager.memory.flink.size: 2280mparallelism.default: 2log4j-console.properties: |+# This affects logging for both user code and FlinkrootLogger.level = INFOrootLogger.appenderRef.console.ref = ConsoleAppenderrootLogger.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 = akkalogger.akka.level = INFOlogger.kafka.name= org.apache.kafkalogger.kafka.level = INFOlogger.hadoop.name = org.apache.hadooplogger.hadoop.level = INFOlogger.zookeeper.name = org.apache.zookeeperlogger.zookeeper.level = INFO# Log all infos to the consoleappender.console.name = ConsoleAppenderappender.console.type = CONSOLEappender.console.layout.type = PatternLayoutappender.console.layout.pattern = %d{yyyy-MM-dd HH:mm:ss,SSS} %-5p %-60c %x - %m%n# Log all infos in the given rolling fileappender.rolling.name = RollingFileAppenderappender.rolling.type = RollingFileappender.rolling.append = falseappender.rolling.fileName = ${sys:log.file}appender.rolling.filePattern = ${sys:log.file}.%iappender.rolling.layout.type = PatternLayoutappender.rolling.layout.pattern = %d{yyyy-MM-dd HH:mm:ss,SSS} %-5p %-60c %x - %m%nappender.rolling.policies.type = Policiesappender.rolling.policies.size.type = SizeBasedTriggeringPolicyappender.rolling.policies.size.size=100MBappender.rolling.strategy.type = DefaultRolloverStrategyappender.rolling.strategy.max = 10# Suppress the irrelevant (wrong) warnings from the Netty channel handlerlogger.netty.name = org.jboss.netty.channel.DefaultChannelPipelinelogger.netty.level = OFF

2.2.5 jobmanager-service.yaml

apiVersion: v1
kind: Service
metadata:name: flink-jobmanager
spec:type: ClusterIPports:- name: rpcport: 6123- name: blob-serverport: 6124- name: webuiport: 8081selector:app: flinkcomponent: jobmanager

2.2.6  jobmanager-rest-service.yaml

将 jobmanager rest 端口公开为公共 Kubernetes 节点的端口。

apiVersion: v1
kind: Service
metadata:name: flink-jobmanager-rest
spec:type: NodePortports:- name: restport: 8081targetPort: 8081nodePort: 30081selector:app: flinkcomponent: jobmanager

2.2.7 taskmanager-query-state-service.yaml

公开 TaskManager 端口以访问可查询状态作为公共 Kubernetes 节点的端口。

apiVersion: v1
kind: Service
metadata:name: flink-taskmanager-query-state
spec:type: NodePortports:- name: query-stateport: 6125targetPort: 6125nodePort: 30025selector:app: flinkcomponent: taskmanager

2.2.8 jobmanager-application-non-ha.yaml

apiVersion: batch/v1
kind: Job
metadata:name: flink-jobmanager
spec:template:metadata:labels:app: flinkcomponent: jobmanagerspec:restartPolicy: OnFailurecontainers:- name: jobmanagerimage: 192.168.20.62:2333/bigdata/flink-centos-admin-application:1.16.2env:args: ["standalone-job", "--job-classname", "org.apache.flink.streaming.examples.windowing.TopSpeedWindowing","--output","/tmp/result"]ports:- containerPort: 6123name: rpc- containerPort: 6124name: blob-server- containerPort: 8081name: webuilivenessProbe:tcpSocket:port: 6123initialDelaySeconds: 30periodSeconds: 60volumeMounts:- name: flink-config-volumemountPath: /opt/apache/flink-1.16.2/conf- name: job-artifacts-volumemountPath: /opt/apache/flink-1.16.2/usrlibsecurityContext:runAsUser: 9999  # refers to user _flink_ from official flink image, change if necessaryvolumes:- name: flink-config-volumeconfigMap:name: flink-configitems:- key: flink-conf.yamlpath: flink-conf.yaml- key: log4j-console.propertiespath: log4j-console.properties- name: job-artifacts-volumehostPath:path: /mnt/bigdata/flink/usrlib

2.2.9 taskmanager-job-deployment.yaml

apiVersion: apps/v1
kind: Deployment
metadata:name: flink-taskmanager
spec:replicas: 2selector:matchLabels:app: flinkcomponent: taskmanagertemplate:metadata:labels:app: flinkcomponent: taskmanagerspec:containers:- name: taskmanagerimage: 192.168.20.62:2333/bigdata/flink-centos-admin-application:1.16.2env:args: ["taskmanager"]ports:- containerPort: 6122name: rpc- containerPort: 6125name: query-statelivenessProbe:tcpSocket:port: 6122initialDelaySeconds: 30periodSeconds: 60volumeMounts:- name: flink-config-volumemountPath: /opt/apache/flink-1.16.2/conf- name: job-artifacts-volumemountPath: /opt/apache/flink-1.16.2/usrlibsecurityContext:runAsUser: 9999  # refers to user _flink_ from official flink image, change if necessaryvolumes:- name: flink-config-volumeconfigMap:name: flink-configitems:- key: flink-conf.yamlpath: flink-conf.yaml- key: log4j-console.propertiespath: log4j-console.properties- name: job-artifacts-volumehostPath:path: /mnt/bigdata/flink/usrlib

2.2.10 创建 flink 集群并提交任务

kubectl create ns flink
# Configuration and service definition
kubectl create -f flink-configuration-configmap.yaml -n flink# service
kubectl create -f jobmanager-service.yaml -n flink
kubectl create -f jobmanager-rest-service.yaml -n flink
kubectl create -f taskmanager-query-state-service.yaml -n flink# Create the deployments for the cluster
kubectl create -f  jobmanager-application-non-ha.yaml -n flink
kubectl create -f  taskmanager-job-deployment.yaml -n flink

2.2.11 删除 flink 集群

kubectl delete -f flink-configuration-configmap.yaml -n flink
kubectl delete -f jobmanager-service.yaml -n flink
kubectl delete -f jobmanager-rest-service.yaml -n flink
kubectl delete -f taskmanager-query-state-service.yaml -n flink
kubectl delete -f jobmanager-application-non-ha.yaml -n flink
kubectl delete -f taskmanager-job-deployment.yaml -n flinkkubectl delete ns flink --force

相关文章：

k8s之flink的几种创建方式

在此之前需要部署一下私人docker仓库&#xff0c;教程搭建 Docker 镜像仓库 注意&#xff1a;每台节点的daemon.json都需要配置"insecure-registries": ["http://主机IP:8080"] 并重启 一、session 模式 Session 模式是指在 Kubernetes 上启动一个共享的…...

编程日记 2024/1/7 16:18:51

应用OpenCV绘制箭头

绘制箭头函数 方法&#xff1a;函数cv2.arrowedLine( ) 语法格式&#xff1a;cv2.arrowedLine(img, pt1, pt2, color[, thickness[, line_type[, shift[, tipLength]]]]) 参数说明&#xff1a; img&#xff1a;要画的直线所在的图像&#xff0c;也称为画布。。 pt1&#x…...

编程日记 2024/1/7 16:17:50

信息学奥赛一本通1032：大象喝水查

1032&#xff1a;大象喝水查 时间限制: 1000 ms 内存限制: 65536 KB 提交数: 104347 通过数: 64726 【题目描述】 一只大象口渴了&#xff0c;要喝20升水才能解渴&#xff0c;但现在只有一个深h厘米&#xff0c;底面半径为r厘米的小圆桶(h和r都是整数)。问大象至少…...

编程日记 2024/1/7 16:14:47

聊聊jvm的direct buffer统计

序 本文主要研究一下jvm的direct buffer统计 spring boot metrics jvm.memory.used {"name": "jvm.memory.used","description": "The amount of used memory","baseUnit": "bytes","measurements"…...

编程日记 2024/1/7 16:13:46

C/C++ 位段

目录 什么是位段&#xff1f; 位段的内存分配 位段的跨平台问题 什么是位段&#xff1f; 位段的声明与结构是类似的&#xff0c;但是有两个不同&#xff1a; 位段的成员必须是 int、unsigned int 或signed int 等整型家族。位段的成员名后边有一个冒号和一个数字 这是一个…...

编程日记 2024/1/7 16:12:45

Peter算法小课堂—树的应用

开篇先给大家讲个东西&#xff0c;叫vector&#xff0c;有老师称之为“向量”&#xff0c;当然与数学中的向量不一样啊&#xff0c;所以我要称之为“长度可变的数组” vector 头文件&#xff1a;#include <vector> 用法&#xff1a;vector<int> d; 尾部增加元素…...

编程日记 2024/1/7 16:11:44

FineBI：简介

1 介绍 FineBI 是帆软软件有限公司推出的一款商业智能&#xff08;Business Intelligence&#xff09;产品。 FineBI 是定位于自助大数据分析的 BI 工具&#xff0c;能够帮助企业的业务人员和数据分析师&#xff0c;开展以问题导向的探索式分析。 2 现阶段数据分析弊端 现阶…...

编程日记 2024/1/7 16:09:43

原神单机版【完全无脑搭建】⭐纯单机⭐*稳定版*

版本介绍 版本3.7稳定版【过分追新并不稳&#xff0c;合理才完美】 独家原神&#xff0c;游戏内自带剧情任务&#xff0c;完美仿官&#xff0c;一比一完美复制&#xff01; 已经拥有完美剧情、任务、副本、卡池、深渊、全物品、和全部功能和皮肤。 送&#xff1a;GM全套工具…...

编程日记 2024/1/7 16:08:42

用通俗易懂的方式讲解：万字长文带你入门大模型

告别2023&#xff0c;迎接2024。大模型技术已成为业界关注焦点&#xff0c;你是否也渴望掌握这一领域却又不知从何学起&#xff1f; 本篇文章将特别针对入门新手&#xff0c;以浅显易懂的方式梳理大模型的发展历程、核心网络结构以及数据微调等关键技术。 如果你在阅读中收获…...

编程日记 2024/1/7 16:07:41

Invalid options in vue.config.js: “plugins“ is not allowed

项目场景&#xff1a; 安装并配置elementPlus报错。 问题描述 "plugins" is not allowed. plugins不被允许。参考官网修改配置文件vue.config.js。 解决方案&#xff1a; const AutoImport require(unplugin-auto-import/webpack) const Components require(un…...

编程日记 2024/1/7 16:05:39

四、C语言中的数组：数组的创建与初始化

其实在之前的学习中我们已经或多或少接触到了数组&#xff0c;有关scanf()的安全用法中我们提到了如何避免数组溢出的问题&#xff0c;详情可以查看二、C语言数据类型与变量&#xff08;scanf和printf (4&#xff09;完) 这一章我们将详细学习数组在C语言中的应用 1.数组的概…...

编程日记 2024/1/7 16:02:36

html5中各标签的语法格式总结以及属性值说明

有关闭标签的元素 a元素 <a href"" target"" title""></a>表格相关元素 table元素&#xff1a;表格标签caption元素&#xff1a;表头thead元素tbody元素&#xff1a;表格主体元素tfoot元素th元素tr元素&#xff1a;行标签td元素&…...

编程日记 2024/1/7 15:58:33

力扣（leetcode）第412题Fizz Buzz（Python）

412.Fizz Buzz 题目链接&#xff1a;412.Fizz Buzz 给你一个整数 n &#xff0c;找出从 1 到 n 各个整数的 Fizz Buzz 表示&#xff0c;并用字符串数组 answer&#xff08;下标从 1 开始&#xff09;返回结果&#xff0c;其中&#xff1a; answer[i] “FizzBuzz” 如果 i 同…...

编程日记 2024/1/7 15:56:31

苦学golang半年，写了一款web服务器

苦学golang半年&#xff0c;写了一款web服务器 文章目录 苦学golang半年&#xff0c;写了一款web服务器example 项目地址&#xff1a;https://github.com/fengyuan-liang/jet-web-fasthttp 可以的话&#xff0c;请star支持一下&#x1f642; 苦学golang半年&#xff0c;写了一款…...

编程日记 2024/1/7 15:51:24

uniapp vue2 车牌号输入组件记录

uniapp vue2 车牌号输入案例记录 组件如图 直接上代码 1.html <template><view><view class"plate" :class"{show: show}"><view class"itemFirst flex-d"><view class"item item1" click"handl…...

编程日记 2024/1/7 15:49:22

Unity 点击对话系统（含Demo）

点击对话系统 可实现点击物体后自动移动到物体附近&#xff0c;然后弹出对话框进行对话。 基于Unity 简单角色对话UI脚本的编写&#xff08;新版UI组件&#xff09;和Unity 关于点击不同物品移动并触发不同事件的结合体&#xff0c;有兴趣可以看一下之前文章。 下边代码为U…...

编程日记 2024/1/7 15:46:20

vue接入高德地图

使用 JSAPI 安全模式,代理服务请以_AMapService 作为一级路由 index.html <script type"text/javascript">window._AMapSecurityConfig {serviceHost: "http://xx.xx.xx.xx:8223/_AMapService"};</script><script type"text/javascr…...

编程日记 2024/1/7 15:44:18

Linux的基本指令（5）

目录 bc指令 uname指令 压缩解压相关的指令 zip指令 unzip指令 tar打包压缩指令 tar解压解包指令 ​传输指令sz&rz 热键 关机命令 安装&#xff1a;yum install -y 指令 bc指令 bc命令可以很方便的进行浮点运算 Linux中的计算器 uname指令 语法&#xff1a;unam…...

编程日记 2024/1/7 15:43:17

华为商城秒杀时加密验证 device_data 的算法研究

前言 之前华为商城放出 Mate60 手机时, 想给自己和家人抢购一两台&#xff0c;手动刷了好几天无果后&#xff0c;决定尝试编写程序&#xff0c;直接发送 POST 请求来抢。通过抓包和简单重放发送后&#xff0c;始终不成功。仔细研究&#xff0c;发现 Cookie 中有一个名为 devic…...

编程日记 2024/1/7 15:42:16

Wrk压测发送Post请求的正确姿势

一、Wrk简介 wrk 是一个能够在单个多核 CPU 上产生显著负载的现代 HTTP 基准测试工具。它采用了多线程设计&#xff0c;并使用了像 epoll 和 kqueue 这样的可扩展事件通知机制。此外&#xff0c;用户可以指定 LuaJIT 脚本来完成 HTTP 请求生成、响应处理和自定义报告等功能。 …...

编程日记 2024/1/7 15:40:14

谷歌浏览器插件

项目中有时候会用到插件 sync-cookie-extension1.0.0&#xff1a;开发环境同步测试 cookie 至 localhost&#xff0c;便于本地请求服务携带 cookie 参考地址&#xff1a;https://juejin.cn/post/7139354571712757767 里面有源码下载下来&#xff0c;加在到扩展即可使用FeHelp…...

编程新知 2025/8/16 3:55:30

树莓派超全系列教程文档--(62)使用rpicam-app通过网络流式传输视频

使用rpicam-app通过网络流式传输视频 使用 rpicam-app 通过网络流式传输视频UDPTCPRTSPlibavGStreamerRTPlibcamerasrc GStreamer 元素 文章来源&#xff1a; http://raspberry.dns8844.cn/documentation 原文网址 使用 rpicam-app 通过网络流式传输视频 本节介绍来自 rpica…...

编程新知 2025/9/30 22:03:38

python/java环境配置

环境变量放一起 python&#xff1a; 1.首先下载Python Python下载地址&#xff1a;Download Python | Python.org downloads ---windows -- 64 2.安装Python 下面两个&#xff0c;然后自定义&#xff0c;全选 可以把前4个选上 3.环境配置 1&#xff09;搜高级系统设置 2…...

编程新知 2025/10/7 10:34:04

数据链路层的主要功能是什么

数据链路层&#xff08;OSI模型第2层&#xff09;的核心功能是在相邻网络节点&#xff08;如交换机、主机&#xff09;间提供可靠的数据帧传输服务&#xff0c;主要职责包括&#xff1a; &#x1f511; 核心功能详解&#xff1a; 帧封装与解封装 封装&#xff1a; 将网络层下发…...

编程新知 2025/6/16 23:36:50

C# 类和继承(抽象类)

抽象类 抽象类是指设计为被继承的类。抽象类只能被用作其他类的基类。 不能创建抽象类的实例。抽象类使用abstract修饰符声明。 抽象类可以包含抽象成员或普通的非抽象成员。抽象类的成员可以是抽象成员和普通带 实现的成员的任意组合。抽象类自己可以派生自另一个抽象类。例…...

编程新知 2025/10/11 18:22:02

Python如何给视频添加音频和字幕

在Python中&#xff0c;给视频添加音频和字幕可以使用电影文件处理库MoviePy和字幕处理库Subtitles。下面将详细介绍如何使用这些库来实现视频的音频和字幕添加&#xff0c;包括必要的代码示例和详细解释。 环境准备 在开始之前&#xff0c;需要安装以下Python库&#xff1a;…...

编程新知 2025/9/3 4:12:17

ardupilot 开发环境eclipse 中import 缺少C++

目录 文章目录 目录摘要1.修复过程摘要 本节主要解决ardupilot 开发环境eclipse 中import 缺少C++，无法导入ardupilot代码，会引起查看不方便的问题。如下图所示 1.修复过程 0.安装ubuntu 软件中自带的eclipse 1.打开eclipse—Help—install new software 2.在 Work with中…...

编程新知 2025/10/12 0:09:52

【HTTP三个基础问题】

面试官您好&#xff01;HTTP是超文本传输协议&#xff0c;是互联网上客户端和服务器之间传输超文本数据&#xff08;比如文字、图片、音频、视频等&#xff09;的核心协议&#xff0c;当前互联网应用最广泛的版本是HTTP1.1&#xff0c;它基于经典的C/S模型&#xff0c;也就是客…...

编程新知 2025/9/27 18:25:59

【JVM面试篇】高频八股汇总——类加载和类加载器

目录 1. 讲一下类加载过程&#xff1f; 2. Java创建对象的过程&#xff1f; 3. 对象的生命周期&#xff1f; 4. 类加载器有哪些&#xff1f; 5. 双亲委派模型的作用&#xff08;好处&#xff09;&#xff1f; 6. 讲一下类的加载和双亲委派原则&#xff1f; 7. 双亲委派模…...

编程新知 2025/9/23 0:32:25

C#学习第29天：表达式树（Expression Trees）

目录 什么是表达式树&#xff1f; 核心概念 1.表达式树的构建 2. 表达式树与Lambda表达式 3.解析和访问表达式树 4.动态条件查询 表达式树的优势 1.动态构建查询 2.LINQ 提供程序支持&#xff1a; 3.性能优化 4.元数据处理 5.代码转换和重写 适用场景 代码复杂性…...

编程新知 2025/7/21 4:21:36