在confluent上测试connect source和sink

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  • 测试目标

为了实现分库分表前期的安全操作, 希望分表的数据还是能够暂时合并到原表中, 使用基于kafka connect实现, debezium做connect source, kafka-jdbc-connector-sink做sink.

实现步骤

开启binlog的MySQL

  • 创建测试数据库test 
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    create database test;
  • 初始化表 ``` create table if not exists tx_refund_bill( id bigint unsigned auto_increment comment ‘主键’ primary key, order_id bigint not null comment ‘订单id’, bill_type tinyint not null comment ‘11’ )comment ‘退款费用明细’ charset=utf8;

CREATE TABLE test_new1 LIKE tx_refund_bill;

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- 数据测试sql

INSERT INTO tx_refund_bill (order_id, bill_type) VALUES (1,3);

update tx_refund_bill set order_id = 3 where id = 1;

select * from tx_refund_bill;

select * from test_new1;

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# 在confluent快速搭建kafka connect
- [download confluent](https://www.confluent.io/download/)
- quick local start
    - 创建confluent配置目录
    ```
    mkdir ~/.confluent
    ```
    - 设置confluent环境
    ```
    export CONFLUENT_HOME=/home/xingwang/service/confluent-5.4.0
    export PATH=$CONFLUENT_HOME/bin:$PATH
    ```

- 安装debezium
    - [下载](https://www.confluent.io/hub/debezium/debezium-connector-mysql)
    - 解压后复制到/home/xingwang/service/confluent-5.4.0/share/java
- 安装kafka-connect-jdbc
    - confluent默认带了kafka-connect-jdbc,只需要额外下载mysql-connector-java-5.1.40.jar放到/home/xingwang/service/confluent-5.4.0/share/java/kafka-connect-jdbc就可以了

- start confluent

confluent local start

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- log位置

log在/tmp/下

- confluent 管理页面

[http://172.17.228.163:9021/](http://172.17.228.163:9021/)


# 配置connect(配置可以直接在http client中执行(.http))

查看connectors

GET http://172.17.228.163:8083/connectors

delete connnector

curl -XDELETE ‘http://172.17.228.163:8083/connectors/debezium’

创建source debezium connector

curl -H “Content-Type:application/json” -XPUT ‘http://172.17.228.163:8083/connectors/debezium/config’ -d ‘ { “connector.class”: “io.debezium.connector.mysql.MySqlConnector”, “tasks.max”: “1”, “database.hostname”: “localhost”, “database.port”: “3306”, “database.user”: “root”, “database.password”: “Mo@123456”, “database.server.id”: “19991”, “database.server.name”: “test_0”, “database.whitelist”: “test”, “include.schema.changes”: “false”, “snapshot.mode”: “schema_only”, “snapshot.locking.mode”: “none”, “database.history.kafka.bootstrap.servers”: “localhost:9092”, “database.history.kafka.topic”: “dbhistory”, “decimal.handling.mode”: “string”, “table.whitelist”: “test.tx_refund_bill”, “database.history.store.only.monitored.tables.ddl”:”true”, “database.history.skip.unparseable.ddl”:”true” }’

查看source debezium connector status

GET http://172.17.228.163:8083/connectors/debezium/status

delete connnector

curl -XDELETE ‘http://172.17.228.163:8083/connectors/jdbc-sink’

创建sink jdbc connector

curl -H “Content-Type:application/json” -XPUT ‘http://172.17.228.163:8083/connectors/jdbc-sink/config’ -d ‘ { “connector.class”: “io.confluent.connect.jdbc.JdbcSinkConnector”, “connection.url”: “jdbc:mysql://localhost:3306/test?nullCatalogMeansCurrent=true”, “connection.user”: “root”, “connection.password”: “Mo@123456”, “tasks.max”: “1”, “topics”: “test_0.test.tx_refund_bill”, “table.name.format”: “test_new1”,

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"insert.mode": "upsert",
"pk.fields": "id",
"pk.mode": "record_value",

"transforms": "ExtractField",
"transforms.ExtractField.type": "org.apache.kafka.connect.transforms.ExtractField$Value",
"transforms.ExtractField.field": "after"   }'

查看connectors status

GET http://172.17.228.163:8083/connectors/jdbc-sink/status

```

实验

  • 在tx_refund_bill表中insert数据,观察test_new1的变化
  • 在tx_refund_bill表中执行update语句,观察test_new1的变化

reference