kafka往mysql写数据操作笔记

第三讲代码

导入jar（df_connect_finance-0.1-jar-with-dependencies.jar）包到  /opt/lib/  下
--------------------------------------------------------->>>>

POST http://localhost:8083/connectors/

body:
--------------------
{
    "name": "finace_source_connector_01",
    "config": {
    	"cuid": "finace_source_connector_01",
        "connector.class": "com.datafibers.flink.stream.FinanceSourceConnector",
        "tasks.max": "1",
        "topic": "stock_source",
        "portfolio": "Top 10 IT Service",
        "interval": "5",
        "spoof": "RAND",
        "schema.registry.uri": "http://localhost:8081"
    }
}
---------------------------
GET http://localhost:8002/subjects

GET http://localhost:8002/subjects/stock_source/versions


GET http://localhost:8002/schemas/ids/1


在第一个窗口输入：
kafka-avro-console-consumer --bootstrap-server localhost:9092 --topic stock_source
//然后就会不断有数据更新进来


在第二个窗口打开：mysql -u root -pmypassword




show databases； 查看有没有simple_stream数据库
有的话use simple_stream；
没有的话create simple_stream；

进去看有没有stock_source
有的话drop掉

然后进入postman：

POST http://localhost:8083/connectors/

body:
---------------
{
  "name": "jdbc-sink-mysql-01",
  "config": {
    "connector.class": "io.confluent.connect.jdbc.JdbcSinkConnector",
    "tasks.max": "1",
    "topics": "stock_source",
    "connection.url": "jdbc:mysql://localhost:3306/simple_stream",
    "connection.user": "root",
    "connection.password": "mypassword",
    "auto.create": "true"
  }
}

-----------------

回到mysql：
show tables；
select count（*） from simple_stream；//查看表内数据量
select * from simple_stream limit 0，10；//查看表内前十条；