【云原生】Flink on k8s 讲解与实战操作
Flink核心是一个流式的数据流执行引擎，并且能够基于同一个Flink运行时，提供支持流处理和批处理两种类型应用。其针对数据流的分布式计算提供了数据分布，数据通信及容错机制等功能。
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一、概述
Flink核心是一个流式的数据流执行引擎，并且能够基于同一个Flink运行时，提供支持流处理和批处理两种类型应用。其针对数据流的分布式计算提供了数据分布，数据通信及容错机制等功能。
Flink官网：Apache Flink: Stateful Computations over Data Streams
不同版本的文档：Index of /flink
k8s on flink 官方文档：Native Kubernetes | Apache Flink
GitHub地址：GitHub - apache/flink at release-1.14.6
二、Flink 运行模式
官方文档：https://nightlies.apache.org/flink/flink-docs-release-1.15/zh/docs/deployment/overview/
FLink on yarn 有三种运行模式：
- yarn-session模式（Seesion Mode）
- yarn-cluster模式（Per-Job Mode）
- Application模式（Application Mode）
【温馨提示】Per-Job 模式（已弃用），Per-job 模式仅由 YARN 支持，并已在 Flink 1.15 中弃用。它将被丢弃在FLINK-26000中。
三、Flink on k8s实战操作
1）flink下载
wget https://dlcdn.apache.org/flink/flink-1.14.6/flink-1.14.6-bin-scala_2.12.tgz
2）构建基础镜像
docker pull apache/flink:1.14.6-scala_2.12
docker tag apache/flink:1.14.6-scala_2.12 myharbor.com/bigdata/flink:1.14.6-scala_2.12
docker push myharbor.com/bigdata/flink:1.14.6-scala_2.123）session模式
Flink Session 集群作为长时间运行的 Kubernetes Deployment 执行。你可以在一个Session 集群上运行多个 Flink 作业。每个作业都需要在集群部署完成后提交到集群。
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、Native Kubernetes 模式
参数配置：
Configuration | Apache Flink
【1】构建镜像Dockerfile
FROM myharbor.com/bigdata/flink:1.14.6-scala_2.12
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
开始构建镜像
docker build -t myharbor.com/bigdata/flink-session:1.14.6-scala_2.12 . --no-cache
# 上传镜像
docker push myharbor.com/bigdata/flink-session:1.14.6-scala_2.12【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【3】创建flink集群
./bin/kubernetes-session.sh \
-Dkubernetes.cluster-id=my-first-flink-cluster \
-Dkubernetes.container.image=myharbor.com/bigdata/flink-session:1.14.6-scala_2.12 \
-Dkubernetes.namespace=flink \
-Dkubernetes.jobmanager.service-account=flink-service-account \
-Dkubernetes.rest-service.exposed.type=NodePort
【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
# 参数配置
./examples/streaming/WordCount.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 \【温馨提示】注意jdk版本，目前jdk8是正常的。
【5】查看
kubectl get pods -n flink
kubectl logs -f my-first-flink-cluster-taskmanager-1-1
【6】删除flink集群
kubectl delete deployment/my-first-flink-cluster -n flink
kubectl delete ns flink --force2、Standalone模式
【1】构建镜像
默认用户是flink用户，这里我换成admin，根据企业需要更换用户，脚本可以通过上面运行的pod拿到。
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 [ $(id -u) != 0 ]; then
# Don't need to drop privs if EUID != 0
return
elif [ -x /sbin/su-exec ]; then
# Alpine
echo su-exec admin
else
# Others
echo gosu admin
fi
}
copy_plugins_if_required() {
if [ -z "$ENABLE_BUILT_IN_PLUGINS" ]; then
return 0
fi
echo "Enabling required built-in plugins"
for target_plugin in $(echo "$ENABLE_BUILT_IN_PLUGINS" | tr ';' ' '); do
echo "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}" ]; then
echo "Plugin ${target_plugin} does not exist. Exiting."
exit 1
else
ln -fs "${FLINK_HOME}/opt/${target_plugin}" "${FLINK_HOME}/plugins/${plugin_name}"
echo "Successfully enabled ${target_plugin}"
fi
done
}
set_config_option() {
local option=$1
local value=$2
# escape periods for usage in regular expressions
local escaped_option=$(echo ${option} | sed -e "s/\./\\\./g")
# either override an existing entry, or append a new one
if grep -E "^${escaped_option}:.*" "${CONF_FILE}" > /dev/null; then
sed -i -e "s/${escaped_option}:.*/$option: $value/g" "${CONF_FILE}"
else
echo "${option}: ${value}" >> "${CONF_FILE}"
fi
}
prepare_configuration() {
set_config_option jobmanager.rpc.address ${JOB_MANAGER_RPC_ADDRESS}
set_config_option blob.server.port 6124
set_config_option query.server.port 6125
if [ -n "${TASK_MANAGER_NUMBER_OF_TASK_SLOTS}" ]; then
set_config_option taskmanager.numberOfTaskSlots ${TASK_MANAGER_NUMBER_OF_TASK_SLOTS}
fi
if [ -n "${FLINK_PROPERTIES}" ]; then
echo "${FLINK_PROPERTIES}" >> "${CONF_FILE}"
fi
envsubst < "${CONF_FILE}" > "${CONF_FILE}.tmp" && mv "${CONF_FILE}.tmp" "${CONF_FILE}"
}
maybe_enable_jemalloc() {
if [ "${DISABLE_JEMALLOC:-false}" == "false" ]; then
JEMALLOC_PATH="/usr/lib/$(uname -m)-linux-gnu/libjemalloc.so"
JEMALLOC_FALLBACK="/usr/lib/x86_64-linux-gnu/libjemalloc.so"
if [ -f "$JEMALLOC_PATH" ]; then
export LD_PRELOAD=$LD_PRELOAD:$JEMALLOC_PATH
elif [ -f "$JEMALLOC_FALLBACK" ]; then
export LD_PRELOAD=$LD_PRELOAD:$JEMALLOC_FALLBACK
else
if [ "$JEMALLOC_PATH" = "$JEMALLOC_FALLBACK" ]; then
MSG_PATH=$JEMALLOC_PATH
else
MSG_PATH="$JEMALLOC_PATH and $JEMALLOC_FALLBACK"
fi
echo "WARNING: attempted to load jemalloc from $MSG_PATH but the library couldn't be found. glibc will be used instead."
fi
fi
}
maybe_enable_jemalloc
copy_plugins_if_required
prepare_configuration
args=("$@")
if [ "$1" = "help" ]; then
printf "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 [ "$1" = "jobmanager" ]; then
args=("${args[@]:1}")
echo "Starting Job Manager"
exec $(drop_privs_cmd) "$FLINK_HOME/bin/jobmanager.sh" start-foreground "${args[@]}"
elif [ "$1" = ${COMMAND_STANDALONE} ]; then
args=("${args[@]:1}")
echo "Starting Job Manager"
exec $(drop_privs_cmd) "$FLINK_HOME/bin/standalone-job.sh" start-foreground "${args[@]}"
elif [ "$1" = ${COMMAND_HISTORY_SERVER} ]; then
args=("${args[@]:1}")
echo "Starting History Server"
exec $(drop_privs_cmd) "$FLINK_HOME/bin/historyserver.sh" start-foreground "${args[@]}"
elif [ "$1" = "taskmanager" ]; then
args=("${args[@]:1}")
echo "Starting Task Manager"
exec $(drop_privs_cmd) "$FLINK_HOME/bin/taskmanager.sh" start-foreground "${args[@]}"
fi
args=("${args[@]}")
# Running command in pass-through mode
exec $(drop_privs_cmd) "${args[@]}"
编排Dockerfile
FROM myharbor.com/bigdata/centos:7.9.2009
USER 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/timezone
RUN mkdir -p /opt/apache
ADD jdk-8u212-linux-x64.tar.gz /opt/apache/
ADD flink-1.14.6-bin-scala_2.12.tgz /opt/apache/
ENV FLINK_HOME /opt/apache/flink-1.14.6
ENV JAVA_HOME /opt/apache/jdk1.8.0_212
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.sh
RUN groupadd --system --gid=9999 admin && useradd --system --home-dir $FLINK_HOME --uid=9999 --gid=admin admin
RUN 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"]
开始构建镜像
docker build -t myharbor.com/bigdata/flink-centos-admin:1.14.6-scala_2.12 . --no-cache
# 上传镜像
docker push myharbor.com/bigdata/flink-centos-admin:1.14.6-scala_2.12
# 删除镜像
docker rmi myharbor.com/bigdata/flink-centos-admin:1.14.6-scala_2.12
crictl rmi myharbor.com/bigdata/flink-centos-admin:1.14.6-scala_2.12【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【3】编排yaml文件
flink-configuration-configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: flink-config
labels:
app: flink
data:
flink-conf.yaml: |+
jobmanager.rpc.address: flink-jobmanager
taskmanager.numberOfTaskSlots: 2
blob.server.port: 6124
jobmanager.rpc.port: 6123
taskmanager.rpc.port: 6122
queryable-state.proxy.ports: 6125
jobmanager.memory.process.size: 3200m
taskmanager.memory.process.size: 2728m
taskmanager.memory.flink.size: 2280m
parallelism.default: 2
log4j-console.properties: |+
# 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.jboss.netty.channel.DefaultChannelPipeline
logger.netty.level = OFF
jobmanager-service.yaml可选服务，仅非 HA 模式需要。
apiVersion: v1
kind: Service
metadata:
name: flink-jobmanager
spec:
type: ClusterIP
ports:
- name: rpc
port: 6123
- name: blob-server
port: 6124
- name: webui
port: 8081
selector:
app: flink
component: jobmanager
jobmanager-rest-service.yaml可选服务，将 jobmanagerrest端口公开为公共 Kubernetes 节点的端口。
apiVersion: v1
kind: Service
metadata:
name: flink-jobmanager-rest
spec:
type: NodePort
ports:
- name: rest
port: 8081
targetPort: 8081
nodePort: 30081
selector:
app: flink
component: jobmanager
taskmanager-query-state-service.yaml可选服务，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: NodePort
ports:
- name: query-state
port: 6125
targetPort: 6125
nodePort: 30025
selector:
app: flink
component: taskmanager
以上几个配置文件是公共的
jobmanager-session-deployment-non-ha.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: flink-jobmanager
spec:
replicas: 1
selector:
matchLabels:
app: flink
component: jobmanager
template:
metadata:
labels:
app: flink
component: jobmanager
spec:
containers:
- name: jobmanager
image: myharbor.com/bigdata/flink-centos-admin:1.14.6-scala_2.12
args: ["jobmanager"]
ports:
- containerPort: 6123
name: rpc
- containerPort: 6124
name: blob-server
- containerPort: 8081
name: webui
livenessProbe:
tcpSocket:
port: 6123
initialDelaySeconds: 30
periodSeconds: 60
volumeMounts:
- name: flink-config-volume
mountPath: /opt/apache/flink-1.14.6/conf/
securityContext:
runAsUser: 9999 # refers to user _flink_ from official flink image, change if necessary
volumes:
- name: flink-config-volume
configMap:
name: flink-config
items:
- key: flink-conf.yaml
path: flink-conf.yaml
- key: log4j-console.properties
path: log4j-console.properties
taskmanager-session-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: flink-taskmanager
spec:
replicas: 2
selector:
matchLabels:
app: flink
component: taskmanager
template:
metadata:
labels:
app: flink
component: taskmanager
spec:
containers:
- name: taskmanager
image: myharbor.com/bigdata/flink-centos-admin:1.14.6-scala_2.12
args: ["taskmanager"]
ports:
- containerPort: 6122
name: rpc
- containerPort: 6125
name: query-state
livenessProbe:
tcpSocket:
port: 6122
initialDelaySeconds: 30
periodSeconds: 60
volumeMounts:
- name: flink-config-volume
mountPath: /opt/apache/flink-1.14.6/conf/
securityContext:
runAsUser: 9999 # refers to user _flink_ from official flink image, change if necessary
volumes:
- name: flink-config-volume
configMap:
name: flink-config
items:
- key: flink-conf.yaml
path: flink-conf.yaml
- key: log4j-console.properties
path: log4j-console.properties
【4】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镜像逆向解析dockerfile
alias whaler="docker run -t --rm -v /var/run/docker.sock:/var/run/docker.sock:ro pegleg/whaler"
whaler flink:1.14.6-scala_2.12
查看
kubectl get pods,svc -n flink -owide
web：http://192.168.182.110:30081/#/overview
【5】提交任务
./bin/flink run -m local-168-182-110:30081 ./examples/streaming/WordCount.jar
kubectl logs flink-taskmanager-54649bf96c-zjtkh -n flink
【6】删除flink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
【7】访问flink web
端口就是jobmanager-rest-service.yaml文件中的NodePort
http://192.168.182.110:30081/#/overview
4）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
1、Native Kubernetes 模式（常用）
【1】构建镜像Dockerfile
FROM myharbor.com/bigdata/flink:1.14.6-scala_2.12
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 TopSpeedWindowing.jar $FLINK_HOME/usrlib/
开始构建镜像
docker build -t myharbor.com/bigdata/flink-application:1.14.6-scala_2.12 . --no-cache
# 上传镜像
docker push myharbor.com/bigdata/flink-application:1.14.6-scala_2.12
# 删除镜像
docker rmi myharbor.com/bigdata/flink-application:1.14.6-scala_2.12
crictl rmi myharbor.com/bigdata/flink-application:1.14.6-scala_2.12【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【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=myharbor.com/bigdata/flink-application:1.14.6-scala_2.12 \
-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【注意】
local是应用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。
查看
kubectl get pods pods,svc -n flink
kubectl logs -f my-first-application-cluster-taskmanager-1-1 -n flink
【4】删除flink集群
kubectl delete deployment/my-first-application-cluster -n flink
kubectl delete ns flink --force2、Standalone模式
【1】构建镜像 Dockerfile
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 [ $(id -u) != 0 ]; then
# Don't need to drop privs if EUID != 0
return
elif [ -x /sbin/su-exec ]; then
# Alpine
echo su-exec admin
else
# Others
echo gosu admin
fi
}
copy_plugins_if_required() {
if [ -z "$ENABLE_BUILT_IN_PLUGINS" ]; then
return 0
fi
echo "Enabling required built-in plugins"
for target_plugin in $(echo "$ENABLE_BUILT_IN_PLUGINS" | tr ';' ' '); do
echo "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}" ]; then
echo "Plugin ${target_plugin} does not exist. Exiting."
exit 1
else
ln -fs "${FLINK_HOME}/opt/${target_plugin}" "${FLINK_HOME}/plugins/${plugin_name}"
echo "Successfully enabled ${target_plugin}"
fi
done
}
set_config_option() {
local option=$1
local value=$2
# escape periods for usage in regular expressions
local escaped_option=$(echo ${option} | sed -e "s/\./\\\./g")
# either override an existing entry, or append a new one
if grep -E "^${escaped_option}:.*" "${CONF_FILE}" > /dev/null; then
sed -i -e "s/${escaped_option}:.*/$option: $value/g" "${CONF_FILE}"
else
echo "${option}: ${value}" >> "${CONF_FILE}"
fi
}
prepare_configuration() {
set_config_option jobmanager.rpc.address ${JOB_MANAGER_RPC_ADDRESS}
set_config_option blob.server.port 6124
set_config_option query.server.port 6125
if [ -n "${TASK_MANAGER_NUMBER_OF_TASK_SLOTS}" ]; then
set_config_option taskmanager.numberOfTaskSlots ${TASK_MANAGER_NUMBER_OF_TASK_SLOTS}
fi
if [ -n "${FLINK_PROPERTIES}" ]; then
echo "${FLINK_PROPERTIES}" >> "${CONF_FILE}"
fi
envsubst < "${CONF_FILE}" > "${CONF_FILE}.tmp" && mv "${CONF_FILE}.tmp" "${CONF_FILE}"
}
maybe_enable_jemalloc() {
if [ "${DISABLE_JEMALLOC:-false}" == "false" ]; then
JEMALLOC_PATH="/usr/lib/$(uname -m)-linux-gnu/libjemalloc.so"
JEMALLOC_FALLBACK="/usr/lib/x86_64-linux-gnu/libjemalloc.so"
if [ -f "$JEMALLOC_PATH" ]; then
export LD_PRELOAD=$LD_PRELOAD:$JEMALLOC_PATH
elif [ -f "$JEMALLOC_FALLBACK" ]; then
export LD_PRELOAD=$LD_PRELOAD:$JEMALLOC_FALLBACK
else
if [ "$JEMALLOC_PATH" = "$JEMALLOC_FALLBACK" ]; then
MSG_PATH=$JEMALLOC_PATH
else
MSG_PATH="$JEMALLOC_PATH and $JEMALLOC_FALLBACK"
fi
echo "WARNING: attempted to load jemalloc from $MSG_PATH but the library couldn't be found. glibc will be used instead."
fi
fi
}
maybe_enable_jemalloc
copy_plugins_if_required
prepare_configuration
args=("$@")
if [ "$1" = "help" ]; then
printf "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 [ "$1" = "jobmanager" ]; then
args=("${args[@]:1}")
echo "Starting Job Manager"
exec $(drop_privs_cmd) "$FLINK_HOME/bin/jobmanager.sh" start-foreground "${args[@]}"
elif [ "$1" = ${COMMAND_STANDALONE} ]; then
args=("${args[@]:1}")
echo "Starting Job Manager"
exec $(drop_privs_cmd) "$FLINK_HOME/bin/standalone-job.sh" start-foreground "${args[@]}"
elif [ "$1" = ${COMMAND_HISTORY_SERVER} ]; then
args=("${args[@]:1}")
echo "Starting History Server"
exec $(drop_privs_cmd) "$FLINK_HOME/bin/historyserver.sh" start-foreground "${args[@]}"
elif [ "$1" = "taskmanager" ]; then
args=("${args[@]:1}")
echo "Starting Task Manager"
exec $(drop_privs_cmd) "$FLINK_HOME/bin/taskmanager.sh" start-foreground "${args[@]}"
fi
args=("${args[@]}")
# Running command in pass-through mode
exec $(drop_privs_cmd) "${args[@]}"
编排Dockerfile
FROM myharbor.com/bigdata/centos:7.9.2009
USER 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/timezone
RUN mkdir -p /opt/apache
ADD jdk-8u212-linux-x64.tar.gz /opt/apache/
ADD flink-1.14.6-bin-scala_2.12.tgz /opt/apache/
ENV FLINK_HOME /opt/apache/flink-1.14.6
ENV JAVA_HOME /opt/apache/jdk1.8.0_212
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 groupadd --system --gid=9999 admin && useradd --system --home-dir $FLINK_HOME --uid=9999 --gid=admin admin
RUN chown -R admin:admin /opt/apache
RUN chmod +x ${FLINK_HOME}/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 myharbor.com/bigdata/flink-centos-admin:1.14.6-scala_2.12 . --no-cache
# 上传镜像
docker push myharbor.com/bigdata/flink-centos-admin:1.14.6-scala_2.12
# 删除镜像
docker rmi myharbor.com/bigdata/flink-centos-admin:1.14.6-scala_2.12【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【3】编排yaml文件
flink-configuration-configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: flink-config
labels:
app: flink
data:
flink-conf.yaml: |+
jobmanager.rpc.address: flink-jobmanager
taskmanager.numberOfTaskSlots: 2
blob.server.port: 6124
jobmanager.rpc.port: 6123
taskmanager.rpc.port: 6122
queryable-state.proxy.ports: 6125
jobmanager.memory.process.size: 3200m
taskmanager.memory.process.size: 2728m
taskmanager.memory.flink.size: 2280m
parallelism.default: 2
log4j-console.properties: |+
# 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.jboss.netty.channel.DefaultChannelPipeline
logger.netty.level = OFFjobmanager-service.yaml可选服务，仅非 HA 模式需要。
apiVersion: v1
kind: Service
metadata:
name: flink-jobmanager
spec:
type: ClusterIP
ports:
- name: rpc
port: 6123
- name: blob-server
port: 6124
- name: webui
port: 8081
selector:
app: flink
component: jobmanager
jobmanager-rest-service.yaml 可选服务，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: NodePort
ports:
- name: rest
port: 8081
targetPort: 8081
nodePort: 30081
selector:
app: flink
component: jobmanagertaskmanager-query-state-service.yaml 可选服务，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: NodePort
ports:
- name: query-state
port: 6125
targetPort: 6125
nodePort: 30025
selector:
app: flink
component: taskmanager
jobmanager-application-non-ha.yaml ，非高可用
apiVersion: batch/v1
kind: Job
metadata:
name: flink-jobmanager
spec:
template:
metadata:
labels:
app: flink
component: jobmanager
spec:
restartPolicy: OnFailure
containers:
- name: jobmanager
image: myharbor.com/bigdata/flink-centos-admin:1.14.6-scala_2.12
env:
args: ["standalone-job", "--job-classname", "org.apache.flink.examples.java.wordcount.WordCount","--output","/tmp/result"]
ports:
- containerPort: 6123
name: rpc
- containerPort: 6124
name: blob-server
- containerPort: 8081
name: webui
livenessProbe:
tcpSocket:
port: 6123
initialDelaySeconds: 30
periodSeconds: 60
volumeMounts:
- name: flink-config-volume
mountPath: /opt/apache/flink-1.14.6/conf
- name: job-artifacts-volume
mountPath: /opt/apache/flink-1.14.6/usrlib
securityContext:
runAsUser: 9999 # refers to user _flink_ from official flink image, change if necessary
volumes:
- name: flink-config-volume
configMap:
name: flink-config
items:
- key: flink-conf.yaml
path: flink-conf.yaml
- key: log4j-console.properties
path: log4j-console.properties
- name: job-artifacts-volume
hostPath:
path: /mnt/nfsdata/flink/application/job-artifacts
【温馨提示】注意这里的挂载
/mnt/bigdata/flink/usrlib，最好这里使用共享目录。
taskmanager-job-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: flink-taskmanager
spec:
replicas: 2
selector:
matchLabels:
app: flink
component: taskmanager
template:
metadata:
labels:
app: flink
component: taskmanager
spec:
containers:
- name: taskmanager
image: myharbor.com/bigdata/flink-centos-admin:1.14.6-scala_2.12
env:
args: ["taskmanager"]
ports:
- containerPort: 6122
name: rpc
- containerPort: 6125
name: query-state
livenessProbe:
tcpSocket:
port: 6122
initialDelaySeconds: 30
periodSeconds: 60
volumeMounts:
- name: flink-config-volume
mountPath: /opt/apache/flink-1.14.6/conf
- name: job-artifacts-volume
mountPath: /opt/apache/flink-1.14.6/usrlib
securityContext:
runAsUser: 9999 # refers to user _flink_ from official flink image, change if necessary
volumes:
- name: flink-config-volume
configMap:
name: flink-config
items:
- key: flink-conf.yaml
path: flink-conf.yaml
- key: log4j-console.properties
path: log4j-console.properties
- name: job-artifacts-volume
hostPath:
path: /mnt/nfsdata/flink/application/job-artifacts
【4】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查看
kubectl get pods,svc -n flink
【5】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 flink
kubectl delete ns flink --force
【6】查看
kubectl get pods,svc -n flink
kubectl exec -it flink-taskmanager-54cb7fc57c-g484q -n flink -- bash 
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