目录

版本管理

mysql:  8.0
Elasticsearch 7.9.2 
Canal v1.1.5
Canal-Adapter v1.1.5

Canal 参考官网：

Mysql 设置 在MySQL配置文件my.cnf设置： 应该是 vi 或者 vim 无法使用，使用 docker copy 来解决

docker exec -it [id] /bin/bash  // 进入容器
# 本地创建
vim mysqld.cnf  // 修改mysql配置

# 打开binlog
log-bin=mysql-bin
# 选择ROW(行)模式
binlog-format=ROW
# 配置MySQL replaction需要定义，不要和canal的slaveId重复
server_id=1

docker copy /root/mysqld.cnf   容器id/etc/mysql/

检查是否开启

# 查看是否开启binlog模式
show variables like 'log_bin%';
# 查看binlog日志文件列表
show variables like 'binlog_format%';
# 查看当前正在写入的binlog文件：
SHOW master STATUS;
# 重置
reset master;

增加新用户:

CODE
# 添加用户并设置密码
CREATE USER canal IDENTIFIED BY 'canal';  
# 授权
GRANT SELECT, REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO 'canal'@'%';
-- GRANT ALL PRIVILEGES ON *.* TO 'canal'@'%' ;
#重新加载权限
FLUSH PRIVILEGES;

安装 Elasticsearch

# 下载elasticsearch镜像
docker pull elasticsearch:7.9.2 

# //启动elasticsearch
docker run -d --name elasticsearch -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" -e ES_JAVA_OPTS="-Xms64m -Xmx1g" elasticsearch:7.9.2 
 
# //进入elasticsearch容器
docker exec -it elasticsearch /bin/bash  

# 安装ik分词器(服务器下载失败可能是内存炸了)

./bin/elasticsearch-plugin  install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.9.2/elasticsearch-analysis-ik-7.9.2.zip

es 跨域问题

docker exec -it elasticsearch /bin/sh
vi config/elasticsearch.yml

cluster.name: "docker-cluster"
network.hosts:0.0.0.0
# 跨域
http.cors.allow-origin: "*"
http.cors.enabled: true

目录挂载

# 授予权限，不然启动失败
chmod 777 /home/haha/mydata/elasticsearch/data

docker run -d --name elasticsearch --restart=always -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" -e ES_JAVA_OPTS="-Xms64m -Xmx1g" -v   /home/haha/mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins -v /home/haha/mydata/elasticsearch/data:/usr/share/elasticsearch/data elasticsearch:7.9.2 

安装 Elasticsearch-Head 解决 es 跨域连接问题

docker exec -it elasticsearch /bin/sh
vi config/elasticsearch.yml

cluster.name: "docker-cluster"
network.hosts:0.0.0.0
# 跨域
http.cors.allow-origin: "*"
http.cors.enabled: true

启动 es-head

docker run -d \
--name=elasticsearch-head \
-p 9100:9100 \
mobz/elasticsearch-head:5-alpine

解决 es-head 无法创建索引

进入elasticsearch-head容器内

docker exec -it elasticsearch-head /bin/sh
vi _site/vendor.js

将第6886行
contentType: "application/x-www-form-urlencoded",
改为
contentType: "application/json;charset=UTF-8",
将第7574行
var inspectData = s.contentType === "application/x-www-form-urlencoded" &&
改为
var inspectData = s.contentType === "application/json;charset=UTF-8" &&

重启，可以清一下浏览器缓存

exit
docker restart elasticsearch-head

安装 Canal

可以参考：

2 G的服务器搞不来

安装镜像

# 拉取镜像
$ docker pull canal/canal-server:v1.1.5
# 随便启动一个，用于拉取配置文件
$ docker run --name canal -p 11111:11111  -d canal/canal-server:v1.1.5
# 挂载配置文件
$ docker cp canal:/home/admin /home/haha/docker-canal
# 删除容器
$ docker stop canal
$ docker rm canal
# 启动新的容器
$ docker run --name canal -p 11111:11111 -v /home/haha/docker-canal:/home/admin -d canal/canal-server:v1.1.5

编写配置文件

# 切换到挂载目录
$ cd /usr/kang/docker-canal

# 切换到需要修改的配置文件所在目录
$ cd canal-server/conf/example/
# 修改文件
$ vim instance.properties

更改 slaveId=10 ，记得和数据库的 server-id 不一样

更改数据库地址

canal.instance.mysql.slaveId=0
canal.instance.master.address=192.168.80.80:3306
canal.instance.dbUsername=root
canal.instance.dbPassword=123456789

#################################################
## mysql serverId , v1.0.26+ will autoGen
# canal.instance.mysql.slaveId=0

# enable gtid use true/false
canal.instance.gtidon=false

# position info
# 数据库地址
canal.instance.master.address=192.168.118.130:3306
# 当前正在写入的 binlog文件，第二部分中mysql命令可查询
canal.instance.master.journal.name=binlog.000001
# 正在写入的偏移量
canal.instance.master.position=156
canal.instance.master.timestamp=
canal.instance.master.gtid=

# rds oss binlog

canal.instance.rds.secretkey=
canal.instance.rds.instanceId=

# table meta tsdb info
canal.instance.tsdb.enable=true
#canal.instance.tsdb.url=jdbc:mysql://127.0.0.1:3306/canal_tsdb
#canal.instance.tsdb.dbUsername=canal
#canal.instance.tsdb.dbPassword=canal

#canal.instance.standby.address =
#canal.instance.standby.journal.name =
#canal.instance.standby.position =
#canal.instance.standby.timestamp =
#canal.instance.standby.gtid=

# username/password
# mysql 用户，若之前创建过可不用修改
canal.instance.dbUsername=canal
canal.instance.dbPassword=canal
canal.instance.connectionCharset = UTF-8
# enable druid Decrypt database password
canal.instance.enableDruid=false
#canal.instance.pwdPublicKey=MFwwDQYJKoZIhvcNAQEBBQADSwAwSAJBALK4BUxdDltRRE5/zXpVEVPUgunvscYFtEip3pmLlhrWpacX7y7GCMo2/JM6LeHmiiNdH1FWgGCpUfircSwlWKUCAwEAAQ==

# table regex
canal.instance.filter.regex=.*\\..*
# table black regex
canal.instance.filter.black.regex=mysql\\.slave_.*
# table field filter(format: schema1.tableName1:field1/field2,schema2.tableName2:field1/field2)
#canal.instance.filter.field=test1.t_product:id/subject/keywords,test2.t_company:id/name/contact/ch
# table field black filter(format: schema1.tableName1:field1/field2,schema2.tableName2:field1/field2)
#canal.instance.filter.black.field=test1.t_product:subject/product_image,test2.t_company:id/name/contact/ch

# mq config
canal.mq.topic=example
# dynamic topic route by schema or table regex
#canal.mq.dynamicTopic=mytest1.user,mytest2\\..*,.*\\..*
canal.mq.partition=0
# hash partition config
#canal.mq.partitionsNum=3
#canal.mq.partitionHash=test.table:id^name,.*\\..*
#canal.mq.dynamicTopicPartitionNum=test.*:4,mycanal:6
#################################################

问题：

# 下面是挂在的目录，需要授权，不然挂在出来，里面拒绝访问
chmod 777 /home/haha/docker-canal/

PUT /area_city
{
  "mappings": {
    "properties": {
      "id":{
        "type": "long"
      },
      "pid":{
        "type": "integer"
      },
      "deep":{
        "type": "integer"
      },
      "name":{
        "type": "text"
      },
      "pinyin_prefix":{
        "type": "text"
      },
      "pinyin":{
        "type": "text"
      },
      "ext_id":{
        "type": "text"
      },
      "ext_name":{
        "type": "text"
      }
    }
  }
  }

安装 Canal-Adapter 安装镜像

BASH
# 拉取镜像
$ docker pull slpcat/canal-adapter:v1.1.5

# 随意启动，用于挂载配置文件
$ docker run --name canal-adapter -p 8081:8081 -d slpcat/canal-adapter:v1.1.5

# 创建存储挂载的目录
$ mkdir /usr/kang/docker-canal-adapter

# 挂载文件 
$ docker cp canal-adapter:/opt/canal-adapter /home/haha/docker-canal-adapter

# 删除容器
$ docker stop canal-adapter
$ docker rm canal-adapter

# 建议添加权限
chmod 777 /home/haha/docker-canal-adapter

# 启动新的容器
$ docker run --name canal-adapter -p 8081:8081 -v /home/haha/docker-canal-adapter/canal-adapter:/opt/canal-adapter -d slpcat/canal-adapter:v1.1.5

配置canal-adapter 文件'

需要修改的是，conf目录下的 applicatiopn.yml 、es7目录下的 mytest_user.yml

编辑 application.yml:

BASH
# 切换到挂载目录
$ cd /home/haha/docker-canal-adapter/canal-adapter


$ cd conf/
$ vim application.yml
YAML
server:
  port: 8081
spring:
  jackson:
    date-format: yyyy-MM-dd HH:mm:ss
    time-zone: GMT+8
    default-property-inclusion: non_null

canal.conf:
  mode: tcp #tcp kafka rocketMQ rabbitMQ
  flatMessage: true
  zookeeperHosts:
  syncBatchSize: 1000
  retries: 0
  timeout:
  accessKey:
  secretKey:
  consumerProperties:
    # canal tcp consumer  编辑此处为 canal.deployer 的地址，canal.deployer的默认端口为 11111
    # 用于获取 canal 的数据进行实时同步
    canal.tcp.server.host: 192.168.80.80:11111
    canal.tcp.zookeeper.hosts:
    canal.tcp.batch.size: 500
    canal.tcp.username:
    canal.tcp.password:
    # kafka consumer
#    kafka.bootstrap.servers: 127.0.0.1:9092
#    kafka.enable.auto.commit: false
#    kafka.auto.commit.interval.ms: 1000
#    kafka.auto.offset.reset: latest
#    kafka.request.timeout.ms: 40000
#    kafka.session.timeout.ms: 30000
#   kafka.isolation.level: read_committed
#    kafka.max.poll.records: 1000
    # rocketMQ consumer
#    rocketmq.namespace:
#    rocketmq.namesrv.addr: 127.0.0.1:9876
#    rocketmq.batch.size: 1000
#    rocketmq.enable.message.trace: false
#    rocketmq.customized.trace.topic:
#    rocketmq.access.channel:
#    rocketmq.subscribe.filter:
    # rabbitMQ consumer
#    rabbitmq.host:
#    rabbitmq.virtual.host:
#    rabbitmq.username:
#    rabbitmq.password:
#    rabbitmq.resource.ownerId:

  srcDataSources:
    defaultDS: # 修改此处为 数据库信息
      url: jdbc:mysql://192.168.80.80:3306/estest?useUnicode=true
      username: root
      password: 123456789
  canalAdapters:
  - instance: example # canal instance Name or mq topic name
    groups:
    - groupId: g1
      outerAdapters:
      - name: logger
#      - name: rdb
#        key: mysql1
#        properties:
#          jdbc.driverClassName: com.mysql.jdbc.Driver
#          jdbc.url: jdbc:mysql://127.0.0.1:3306/mytest2?useUnicode=true
#          jdbc.username: root
#          jdbc.password: 121212
#      - name: rdb
#        key: oracle1
#        properties:
#          jdbc.driverClassName: oracle.jdbc.OracleDriver
#          jdbc.url: jdbc:oracle:thin:@localhost:49161:XE
#          jdbc.username: mytest
#          jdbc.password: m121212
#      - name: rdb
#        key: postgres1
#        properties:
#          jdbc.driverClassName: org.postgresql.Driver
#          jdbc.url: jdbc:postgresql://localhost:5432/postgres
#          jdbc.username: postgres
#          jdbc.password: 121212
#          threads: 1
#          commitSize: 3000
#      - name: hbase
#        properties:
#          hbase.zookeeper.quorum: 127.0.0.1
#          hbase.zookeeper.property.clientPort: 2181
#          zookeeper.znode.parent: /hbase
      - name: es7 # es7文件夹配置,还有es6
#        key: fgnKey
        hosts: 192.168.80.80:9200 # 127.0.0.1:9200 for rest mode es 集群地址, 逗号分隔
        properties:
          mode: rest # or rest 可指定transport模式或者rest模式
#          # security.auth: test:123456 #  only used for rest mode
          cluster.name: elasticsearch #指定es的集群名称
#        - name: kudu
#          key: kudu
#          properties:
#            kudu.master.address: 127.0.0.1 # ',' split multi address

修改mytest_user.yml 文件

在 es7 文件夹

dataSourceKey: defaultDS #源数据源的key, 对应上面配置的srcDataSources中的值
destination: example # cannal的instance或者MQ的topic
groupId: g1	# 对应MQ模式下的groupId, 只会同步对应groupId的数据
esMapping:
  _index: area_city  # es 的索引名称
  _id: _id # es 的_id, 如果不配置该项必须配置下面的pk项_id则会由es自动分配
  upsert: true 
  pk: id # 如果不需要_id, 则需要指定一个属性为主键属性
  # sql映射
  sql: "SELECT id AS _id, pid, deep, name, pinyin_prefix, pinyin, ext_id, ext_name FROM area_city"
#  objFields:
#    _labels: array:;
  etlCondition: "where a.c_time>={}" # etl 的条件参数
  commitBatch: 3000 # 提交批大小

sql 映射中的 sql语句，为 id 其别名为 _id 不然在同步时为出错

sql 字段不要写 `` 不然会有问题，这个折磨我好久，

编写完成重启容器:

BASH
$ docker restart canal-adapter

测试 同步全量数据

postman 或者 xshell

curl http://localhost:8081/etl/es7/mytest_user.yml -X POST

创建表

CREATE TABLE `area_city` (
  `id` bigint(20) NOT NULL COMMENT '城市编号',
  `pid` int(11) NOT NULL COMMENT '上级ID',
  `deep` int(11) NOT NULL COMMENT '层级深度；0：省，1：市，2：区，3：镇',
  `name` varchar(255) NOT NULL COMMENT '城市',
  `pinyin_prefix` varchar(255) NOT NULL COMMENT 'name的拼音前缀',
  `pinyin` varchar(255) NOT NULL COMMENT 'name的完整拼音',
  `ext_id` varchar(50) NOT NULL COMMENT '数据源原始的编号；如果是添加的数据，此编号为0\r\n',
  `ext_name` varchar(255) NOT NULL COMMENT '数据源原始的名称，为未精简的名称\r\n'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;

表要创建在 application.yml 所设置的数据库中

创建 es 索引

PUT /index
{
  "mappings": {
    "properties": {
      "id":{
        "type": "long"
      },
      "pid":{
        "type": "integer"
      },
      "deep":{
        "type": "integer"
      },
      "name":{
        "type": "text"
      },
      "pinyin_prefix":{
        "type": "text"
      },
      "pinyin":{
        "type": "text"
      },
      "ext_id":{
        "type": "text"
      },
      "ext_name":{
        "type": "text"
      }
    }
  }
 }