ansible部署集群后平滑迁移IP

2024-01-20 10:59:10

修改集群IP

通过统一修改各集群节点的hosts文件来实现IP迁移

127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
# ::1         localhost localhost.localdomain localhost6 localhost6.localdomain6


##start user defiend###
192.168.30.105  elastic-node1
192.168.30.110  elastic-node2


192.168.30.110  mysql-node1

192.168.30.110  redis-node1


192.168.30.105  zookeeper-node1
192.168.30.110  zookeeper-node2


192.168.30.105  kafka-node1
192.168.30.110  kafka-node2


192.168.30.105  flink-node1
192.168.30.110  flink-node2

192.168.30.110  nginx-node1

192.168.30.110  Tlog-node1


####end user defiend######

hosts.j2

- name: Copy the hosts to  {{  groups["all"]  }}
  template: src=hosts.j2  dest="/etc/hosts" 
  tags: hoststest

- name: set esmaster hosts for {{  groups["all"] }}
  lineinfile: dest=/etc/hosts insertafter="{{item.position}}" line="{{item.value}}" state=present
  with_items:
    - {position: EOF, value: "{{ groups[‘elastic-master‘][0] }} instance"}
  tags: hoststest

- name: get hosts file data
  shell: cat /etc/hosts
  register: hosts_file_result
  tags: hoststest

- name: echo hosts data test
  debug:
    msg: "{{ hosts_file_result.stdout_lines }}"  
  tags: hoststest

- name:  get elastic hostsname
  shell: cat /etc/hosts | grep elastic | awk ‘{print $2}‘
  register: elastic_hosts
  tags: hoststest

- name:  get zookeeper hostsname
  shell: cat /etc/hosts | grep zookeeper | awk ‘{print $2}‘
  register: zookeeper_hosts
  tags: hoststest

- name:  get zookeeper hostsipname
  shell: cat /etc/hosts | grep zookeeper
  register: zookeeper_ip_hosts
  tags: hoststest

- name:  get kafka hostsname
  shell: cat /etc/hosts | grep kafka | awk ‘{print $2}‘
  register: kafka_hosts
  tags: hoststest

- name:  get flink hostsname
  shell: cat /etc/hosts | grep flink | awk ‘{print $2}‘
  register: flink_hosts
  tags: hoststest

- name:  get redis hostsname
  shell: cat /etc/hosts | grep redis | awk ‘{print $2}‘
  register: redis_hosts
  tags: hoststest

- name:  get mysql hostsname
  shell: cat /etc/hosts | grep mysql | awk ‘{print $2}‘
  register: mysql_hosts
  tags: hoststest

- name:  get Tlog hostsname
  shell: cat /etc/hosts | grep Tlog | awk ‘{print $2}‘
  register: Tlog_hosts
  tags: hoststest

- name:  get nginx hostsname
  shell: cat /etc/hosts | grep nginx | awk ‘{print $2}‘
  register: nginx_hosts
  tags: hoststest

tasks/main.yml 把hosts内容注册为play变量

应用配置文件模板

所有的连接信息通过hostsname来进行连接配置,不再按照默认的ip地址来连接

code:
    beanPath: com/transfar/admin
    projectPath: D:/sourceCode/git/admin/
console-available: true
export:
    imgFilePath: /Users/

mybatis-plus:
    configuration:
        log-impl: org.apache.ibatis.logging.stdout.StdOutImpl
        map-underscore-to-camel-case: false
    mapper-locations: classpath:mapper/*/*.xml
    type-aliases-package: com.transfar.admin.dao

server:
    port: 8082

spring:
    profiles:
        active: local
    jackson:
        date-format: yyyy-MM-dd HH:mm:ss
        time-zone: GMT+8
    output:
        ansi:
            enabled: ALWAYS
#Springboot默认上传文件大小为不超过1MB，现根据业务需求设置为不超过5MB
    servlet:
        multipart:
           max-file-size: 5MB
           max-request-size: 5MB
    application:
        name: admin-console
    datasource:
        driverClassName: com.mysql.cj.jdbc.Driver
        url: jdbc:mysql://{{mysql_hosts.stdout_lines[0]}}:{{MYSQL_PORT}}/siem?allowPublicKeyRetrieval=true&useSSL=false&useUnicode=true&characterEncoding=utf-8&serverTimezone=Asia/Shanghai
        password: {{ MYSQL_CONNECT_PASSWORD }}
        type: com.alibaba.druid.pool.DruidDataSource
        username: {{ MYSQL_CONNECT_USERNAME }}
    redis:
        database: 0
        host: {{ redis_hosts.stdout_lines[0] }}
        port: {{ redis_port }}
        password: {{ redis_password }}
    #============== kafka ===================
# 指定kafka 代理地址，可以多个
    kafka:
        bootstrap-servers: {{ kafka_hosts.stdout_lines |  join(‘:9092,‘)  }}:9092

  #=============== provider  =======================
        producer:
          # retries: 0
  # 每次批量发送消息的数量
           #batch-size: 16384
          # buffer-memory: 33554432

  # 指定消息key和消息体的编解码方式
           key-serializer: org.apache.kafka.common.serialization.StringSerializer
           value-serializer: org.apache.kafka.common.serialization.StringSerializer

  #=============== consumer  =======================
  # 指定默认消费者group id
        consumer:
           group-id: user-notification-group
           auto-offset-reset: earliest
          # enable-auto-commit: true
          # auto-commit-interval: 100

  # 指定消息key和消息体的编解码方式
           key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
           value-deserializer: org.apache.kafka.common.serialization.StringDeserializer   
logging:
    level:
        root: info
        com.transfar.admin: debug
    file:
        name: logs/${spring.application.name}.log

eureka:
    client:
        serviceUrl:
            defaultZone: http://{{ eureka_name }}:{{ eureka_passwd }}@{{ nginx_hosts.stdout_lines[0] }}:8761/eureka

fdfs:
    soTimeout: 1500 #socket连接超时时长
    connectTimeout: 600 #连接tracker服务器超时时长
    resHost: {{ nginx_hosts.stdout_lines[0]  }}
    storagePort: 23000
    visit: http
    trackerList: #TrackerList参数,支持多个，我这里只有一个，如果有多个在下方加- x.x.x.x:port
        - {{ nginx_hosts.stdout_lines[0]  }}:22122
    nginx:
        port: 8999
    file:
       type: .+(.jpg|.gif|.png|.pdf|.doc|.xls|.ppt|.rar|.zip)$

management:
    endpoints:
        web:
            exposure:
                include: "*"
    metrics:
        tags:
            application: ${spring.application.name} # 暴露的数据中添加application
label:
    endpoint:
        health:
            show-details: always
# 1-报表任务启动 2 - 关闭
report:
    start: 1

license:
    address: {{ taishi_dir }}/app/license/license.json

asset:
    visit: http
    ip: {{ nginx_hosts.stdout_lines[0]  }}

jasypt:
    encryptor:
        password: JeF8U9wHFOMfs2Y8
ribbon:
  ReadTimeout: 60000
  ConnectTimeout: 60000

微服务配置文件

broker.id={{ ansible_default_ipv4.address.split(‘.‘)| last }}
listeners=PLAINTEXT://{{ ansible_default_ipv4.address }}:9092
num.network.threads=3
num.io.threads=8
socket.send.buffer.bytes=102400
socket.receive.buffer.bytes=102400
socket.request.max.bytes=104857600
log.dirs={{ kafka_logdir }}
num.partitions=1
num.recovery.threads.per.data.dir=1
log.retention.hours=96
log.retention.bytes=-1
log.segment.bytes=1073741824
log.retention.check.interval.ms=300000
zookeeper.connect={{ zookeeper_hosts.stdout_lines |  join(‘:2181,‘) }}:2181
zookeeper.connection.timeout.ms=6000000
delete.topic.enable=true
auto.create.topics.enable=true
default.replication.factor=1
offsets.topic.replication.factor=1

kafka配置文件

tickTime=2000

initLimit=10

syncLimit=5

clientPort=2181

maxClientCnxns=0


dataDir= {{ zk_dataDir }}
dataLogDir= {{ zk_logDir }}

{% for host in zookeeper_ip_hosts.stdout_lines %} 
{% set ip= host.split(‘ ‘) | first %}
server.{{ ip.split(‘.‘) | last  }}={{ host.split(‘ ‘) | last }}:2888:3888
{% endfor %}

zookeeper集群配置文件

################################################################################
#  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.
################################################################################


#==============================================================================
# Common
#==============================================================================

# The external address of the host on which the JobManager runs and can be
# reached by the TaskManagers and any clients which want to connect. This setting
# is only used in Standalone mode and may be overwritten on the JobManager side
# by specifying the --host <hostname> parameter of the bin/jobmanager.sh executable.
# In high availability mode, if you use the bin/start-cluster.sh script and setup
# the conf/masters file, this will be taken care of automatically. Yarn/Mesos
# automatically configure the host name based on the hostname of the node where the
# JobManager runs.

jobmanager.rpc.address: {{ flink_hosts.stdout_lines[0] }}

# The RPC port where the JobManager is reachable.

jobmanager.rpc.port: 6123

#taskmanager.memory.jvm-metaspace.size: 1024m

# The total process memory size for the JobManager.
#
# Note this accounts for all memory usage within the JobManager process, including JVM metaspace and other overhead.

#jobmanager.memory.process.size: 1600m
jobmanager.memory.process.size: 4096m
jobmanager.memory.jvm-metaspace.size: 2048m

# The total process memory size for the TaskManager.
#
# Note this accounts for all memory usage within the TaskManager process, including JVM metaspace and other overhead.

taskmanager.memory.task.heap.size: {{ taskmanager_memory_task_heap_size }}
taskmanager.memory.managed.size: 1024m
taskmanager.memory.framework.off-heap.size: 2048m
taskmanager.memory.jvm-metaspace.size: 2048m
#taskmanager.memory.process.size: 1728m
# To exclude JVM metaspace and overhead, please, use total Flink memory size instead of ‘taskmanager.memory.process.size‘.
# It is not recommended to set both ‘taskmanager.memory.process.size‘ and Flink memory.
#
# taskmanager.memory.flink.size: 1280m

# The number of task slots that each TaskManager offers. Each slot runs one parallel pipeline.

taskmanager.numberOfTaskSlots: {{ taskmanager_numberOfTaskSlots }}

# The parallelism used for programs that did not specify and other parallelism.

parallelism.default: 1

# The default file system scheme and authority.
# 
# By default file paths without scheme are interpreted relative to the local
# root file system ‘file:///‘. Use this to override the default and interpret
# relative paths relative to a different file system,
# for example ‘hdfs://mynamenode:12345‘
#
# fs.default-scheme

#==============================================================================
# High Availability
#==============================================================================

# The high-availability mode. Possible options are ‘NONE‘ or ‘zookeeper‘.
#
# high-availability: zookeeper

# The path where metadata for master recovery is persisted. While ZooKeeper stores
# the small ground truth for checkpoint and leader election, this location stores
# the larger objects, like persisted dataflow graphs.
# 
# Must be a durable file system that is accessible from all nodes
# (like HDFS, S3, Ceph, nfs, ...) 
#
# high-availability.storageDir: hdfs:///flink/ha/

# The list of ZooKeeper quorum peers that coordinate the high-availability
# setup. This must be a list of the form:
# "host1:clientPort,host2:clientPort,..." (default clientPort: 2181)
#
# high-availability.zookeeper.quorum: localhost:2181


# ACL options are based on https://zookeeper.apache.org/doc/r3.1.2/zookeeperProgrammers.html#sc_BuiltinACLSchemes
# It can be either "creator" (ZOO_CREATE_ALL_ACL) or "open" (ZOO_OPEN_ACL_UNSAFE)
# The default value is "open" and it can be changed to "creator" if ZK security is enabled
#
# high-availability.zookeeper.client.acl: open

#==============================================================================
# Fault tolerance and checkpointing
#==============================================================================

# The backend that will be used to store operator state checkpoints if
# checkpointing is enabled.
#
# Supported backends are ‘jobmanager‘, ‘filesystem‘, ‘rocksdb‘, or the
# <class-name-of-factory>.
#
# state.backend: filesystem

# Directory for checkpoints filesystem, when using any of the default bundled
# state backends.
#
# state.checkpoints.dir: hdfs://namenode-host:port/flink-checkpoints

# Default target directory for savepoints, optional.
#
# state.savepoints.dir: hdfs://namenode-host:port/flink-checkpoints

# Flag to enable/disable incremental checkpoints for backends that
# support incremental checkpoints (like the RocksDB state backend). 
#
# state.backend.incremental: false
state.checkpoints.num-retained: 2

# The failover strategy, i.e., how the job computation recovers from task failures.
# Only restart tasks that may have been affected by the task failure, which typically includes
# downstream tasks and potentially upstream tasks if their produced data is no longer available for consumption.

jobmanager.execution.failover-strategy: region

#==============================================================================
# Rest & web frontend
#==============================================================================

# The port to which the REST client connects to. If rest.bind-port has
# not been specified, then the server will bind to this port as well.
#
#rest.port: 8081

# The address to which the REST client will connect to
#
#rest.address: 0.0.0.0

# Port range for the REST and web server to bind to.
#
#rest.bind-port: 8080-8090

# The address that the REST & web server binds to
#
#rest.bind-address: 0.0.0.0
rest.bind-address: 0.0.0.0
# Flag to specify whether job submission is enabled from the web-based
# runtime monitor. Uncomment to disable.

#web.submit.enable: false

#==============================================================================
# Advanced
#==============================================================================

# Override the directories for temporary files. If not specified, the
# system-specific Java temporary directory (java.io.tmpdir property) is taken.
#
# For framework setups on Yarn or Mesos, Flink will automatically pick up the
# containers‘ temp directories without any need for configuration.
#
# Add a delimited list for multiple directories, using the system directory
# delimiter (colon ‘:‘ on unix) or a comma, e.g.:
#     /data1/tmp:/data2/tmp:/data3/tmp
#
# Note: Each directory entry is read from and written to by a different I/O
# thread. You can include the same directory multiple times in order to create
# multiple I/O threads against that directory. This is for example relevant for
# high-throughput RAIDs.
#
# io.tmp.dirs: /tmp
io.tmp.dirs: {{ flink_temp_dir }}
# The classloading resolve order. Possible values are ‘child-first‘ (Flink‘s default)
# and ‘parent-first‘ (Java‘s default).
#
# Child first classloading allows users to use different dependency/library
# versions in their application than those in the classpath. Switching back
# to ‘parent-first‘ may help with debugging dependency issues.
#
# classloader.resolve-order: child-first

# The amount of memory going to the network stack. These numbers usually need 
# no tuning. Adjusting them may be necessary in case of an "Insufficient number
# of network buffers" error. The default min is 64MB, the default max is 1GB.
# 
#taskmanager.memory.network.fraction: 0.1
#taskmanager.memory.network.min: 64mb
#taskmanager.memory.network.max: 1gb

#==============================================================================
# Flink Cluster Security Configuration
#==============================================================================

# Kerberos authentication for various components - Hadoop, ZooKeeper, and connectors -
# may be enabled in four steps:
# 1. configure the local krb5.conf file
# 2. provide Kerberos credentials (either a keytab or a ticket cache w/ kinit)
# 3. make the credentials available to various JAAS login contexts
# 4. configure the connector to use JAAS/SASL

# The below configure how Kerberos credentials are provided. A keytab will be used instead of
# a ticket cache if the keytab path and principal are set.

# security.kerberos.login.use-ticket-cache: true
# security.kerberos.login.keytab: /path/to/kerberos/keytab
# security.kerberos.login.principal: flink-user

# The configuration below defines which JAAS login contexts

# security.kerberos.login.contexts: Client,KafkaClient

#==============================================================================
# ZK Security Configuration
#==============================================================================

# Below configurations are applicable if ZK ensemble is configured for security

# Override below configuration to provide custom ZK service name if configured
# zookeeper.sasl.service-name: zookeeper

# The configuration below must match one of the values set in "security.kerberos.login.contexts"
# zookeeper.sasl.login-context-name: Client

#==============================================================================
# HistoryServer
#==============================================================================

# The HistoryServer is started and stopped via bin/historyserver.sh (start|stop)

# Directory to upload completed jobs to. Add this directory to the list of
# monitored directories of the HistoryServer as well (see below).
jobmanager.archive.fs.dir: file://{{ flink_history_dir }}

# The address under which the web-based HistoryServer listens.
#historyserver.web.address: 0.0.0.0

# The port under which the web-based HistoryServer listens.
historyserver.web.port: 8882

# Comma separated list of directories to monitor for completed jobs.
historyserver.archive.fs.dir: file://{{ flink_history_dir }}
# Interval in milliseconds for refreshing the monitored directories.
#historyserver.archive.fs.refresh-interval: 10000

env.java.home: /usr/lib/java/jdk1.8.0_191
web.upload.dir: {{ flink_web_jar }}


metrics.reporters: prom
metrics.reporter.prom.class: org.apache.flink.metrics.prometheus.PrometheusReporter
metrics.reporter.prom.port: 9213-9214

flink配置文件

console-available: true
export:
    imgFilePath: /Users/

mybatis-plus:
    configuration:
        log-impl: org.apache.ibatis.logging.stdout.StdOutImpl
        map-underscore-to-camel-case: false
    mapper-locations: classpath:mapper/*/*.xml
    type-aliases-package: com.transfar.admin.dao

server:
    port: 8082

spring:
    profiles:
        active: local
    jackson:
        date-format: yyyy-MM-dd HH:mm:ss
        time-zone: GMT+8
    output:
        ansi:
            enabled: ALWAYS
#Springboot默认上传文件大小为不超过1MB，现根据业务需求设置为不超过5MB
    servlet:
        multipart:
           max-file-size: 5MB
           max-request-size: 5MB
    application:
        name: admin-console
    datasource:
        driverClassName: com.mysql.cj.jdbc.Driver
        url: jdbc:mysql://mysql-node1:6306/siem?allowPublicKeyRetrieval=true&useSSL=false&useUnicode=true&characterEncoding=utf-8&serverTimezone=Asia/Shanghai
        password: Transfar@2022
        type: com.alibaba.druid.pool.DruidDataSource
        username: taishi
    redis:
        database: 0
        host: redis-node1
        port: 6379
        password: Transfar@2022
    #============== kafka ===================
# 指定kafka 代理地址，可以多个
    kafka:
        bootstrap-servers: kafka-node1:9092,kafka-node2:9092

  #=============== provider  =======================
        producer:
          # retries: 0
  # 每次批量发送消息的数量
           #batch-size: 16384
          # buffer-memory: 33554432

  # 指定消息key和消息体的编解码方式
           key-serializer: org.apache.kafka.common.serialization.StringSerializer
           value-serializer: org.apache.kafka.common.serialization.StringSerializer

  #=============== consumer  =======================
  # 指定默认消费者group id
        consumer:
           group-id: user-notification-group
           auto-offset-reset: earliest
          # enable-auto-commit: true
          # auto-commit-interval: 100

  # 指定消息key和消息体的编解码方式
           key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
           value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
logging:
    level:
        root: info
        com.transfar.admin: debug
    file:
        name: logs/${spring.application.name}.log

eureka:
    client:
        serviceUrl:
            defaultZone: http://transfar:Transfar123@nginx-node1:8761/eureka

fdfs:
    soTimeout: 1500 #socket连接超时时长
    connectTimeout: 600 #连接tracker服务器超时时长
    resHost: nginx-node1
    storagePort: 23000
    visit: http
    trackerList: #TrackerList参数,支持多个，我这里只有一个，如果有多个在下方加- x.x.x.x:port
        - nginx-node1:22122
    nginx:
        port: 8999
    file:
       type: .+(.jpg|.gif|.png|.pdf|.doc|.xls|.ppt|.rar|.zip)$

management:
    endpoints:
        web:
            exposure:
                include: "*"
    metrics:
        tags:
            application: ${spring.application.name} # 暴露的数据中添加application
label:
    endpoint:
        health:
            show-details: always
# 1-报表任务启动 2 - 关闭
report:
    start: 1

license:
    address: /app/taishi/app/license/license.json

asset:
    visit: http
    ip: nginx-node1

jasypt:
    encryptor:
        password: JeF8U9wHFOMfs2Y8
ribbon:
  ReadTimeout: 60000
  ConnectTimeout: 60000

配置文件实例结果

task配置

- name: Copy the updateip.sh to {{ groups["all"]  }}
  template: src=updateip.sh.j2  dest={{ taishi_dir }}/updateip.sh owner={{ taishi_user }} group={{ taishi_user }} mode=0755
  tags: changeip

- name: "sh updateip.sh"
  shell: "{{ taishi_dir }}/updateip.sh"
  ignore_errors: True
  tags: changeip

- name: stop taishi serivice {{ groups["all"]  }}
  service: name=taishi state=stopped
  tags: changeip

- name:  start taishiservice to {{ groups["all"]  }}
  service: name=taishi state=started
  tags: changeip

tasks/main.yml

#! /bin/bash


#####update mysql data###############
mysqlip=`cat /etc/hosts | grep mysql | awk ‘{print $1}‘`
newip=`cat /etc/hosts | grep nginx | awk ‘{print $1}‘`

{{ taishi_dir }}/mysql/mysql-5.7.31-linux-glibc2.12-x86_64/bin/mysql -P{{ MYSQL_PORT }} -h$mysqlip -u{{MYSQL_CONNECT_USERNAME}} -p{{MYSQL_CONNECT_PASSWORD}} siem -e "UPDATE sys_config SET vals = ‘https://$newip:1688/devops/monitor/d/rYdddlPWk-evan/sadan-ji-ban-jian-kong?orgId=1&refresh=1m&kiosk=tv‘ where flag = ‘sysInfo‘ and feature = ‘url‘"
{{ taishi_dir }}/mysql/mysql-5.7.31-linux-glibc2.12-x86_64/bin/mysql -P{{ MYSQL_PORT }} -h$mysqlip -u{{MYSQL_CONNECT_USERNAME}} -p{{MYSQL_CONNECT_PASSWORD}} siem -e "UPDATE sys_config SET vals = ‘https://$newip:1688‘ where id = ‘h89573859ol6yhn8uhbdccc564rf8ui9‘"
{{ taishi_dir }}/mysql/mysql-5.7.31-linux-glibc2.12-x86_64/bin/mysql -P{{ MYSQL_PORT }} -h$mysqlip -u{{MYSQL_CONNECT_USERNAME}} -p{{MYSQL_CONNECT_PASSWORD}} siem -e "UPDATE sa_log_worker SET ip = ‘$newip‘ where name = ‘work1‘"



#####get host ip##########
myip="{{ ansible_default_ipv4.address }}"


########update kafka config############
sed -ri "s/([0-9]{1,3}\.){3}[0-9]{1,3}/$myip/g" {{ taishi_dir }}/kafka/config/server.properties



#####update Tlog config###############
sed -ri "s/([0-9]{1,3}\.){3}[0-9]{1,3}/$myip/g" {{ taishi_dir }}/Tlog/config/application.yml

updateip.sh.j2

#! /bin/bash


#####update mysql data###############
mysqlip=`cat /etc/hosts | grep mysql | awk ‘{print $1}‘`
newip=`cat /etc/hosts | grep nginx | awk ‘{print $1}‘`

/app/taishi/mysql/mysql-5.7.31-linux-glibc2.12-x86_64/bin/mysql -P6306 -h$mysqlip -utaishi -pTransf2 siem -e "UPDATE sys_config SET vals = ‘https://$newip:1688/devops/monitor/d/rYdddlPWk-evan/sadan-ji-ban-jian-kong?orgId=1&refresh=1m&kiosk=tv‘ where flag = ‘sysInfo‘ and feature = ‘url‘"
/app/taishi/mysql/mysql-5.7.31-linux-glibc2.12-x86_64/bin/mysql -P6306 -h$mysqlip -utaishi -pTransfa siem -e "UPDATE sys_config SET vals = ‘https://$newip:1688‘ where id = ‘h89573859ol6yhn8uhbdccc564rf8ui9‘"
/app/taishi/mysql/mysql-5.7.31-linux-glibc2.12-x86_64/bin/mysql -P6306 -h$mysqlip -utaishi -pTranssiem -e "UPDATE sa_log_worker SET ip = ‘$newip‘ where name = ‘work1‘"



#####get host ip##########
myip="192.168.30.110"


########update kafka config############
sed -ri "s/([0-9]{1,3}\.){3}[0-9]{1,3}/$myip/g" /app/taishi/kafka/config/server.properties



#####update Tlog config###############
sed -ri "s/([0-9]{1,3}\.){3}[0-9]{1,3}/$myip/g" /app/taishi/Tlog/config/application.yml

updateip.sh

执行task

这样就可以随意修改集群中任何主机的IP

1.修改主机IP 重启被修改主机的网络服务

2.重新建立主控端和新地址被控端的免密连接

ssh-copy-id -f -i /home/admin/.ssh/id_rsa.pub admin@192.168.30.110

3.修改各个主机的/etc/hosts

4.修改hosts_changeip文件中的IP地址

5.执行ansible task

6.通过新的IP地址访问系统即可

ansible部署集群后平滑迁移IP

码农公寓

修改集群IP

应用配置文件模板

task配置

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