Output to MySQL (JDBC)
The test steps for writing data to MySQL are as follows.
(1) Add dependencies.
Add the MySQL driver:
mysql
mysql-connector-java
8.0.27
. The official dependency of flink-connector-jdbc 1.17.0 has not yet been provided. For the time being, download it from the apache snapshot warehouse. Specify the warehouse path in the pom file:
apache -snapshots
apache snapshots
https://repository.apache.org/content/repositories/snapshots/Add
dependency:
org.apache.flink
flink-connector-jdbc
1.17-SNAPSHOT
If it does not take effect, you also need to modify the local maven configuration file, mirrorOf Add the following red content:
aliyunmaven
*,!apache-snapshots
Alibaba Cloud public warehouse
https://maven.aliyun.com/repository/public
(2) Start MySQL and create table ws under the test library
mysql>
CREATE TABLE `ws` (
`id` varchar(100) NOT NULL,
`ts` bigint(20) DEFAULT NULL,
`vc` int(11) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8
(3) Write sample code output to MySQL
public class SinkMySQL {
public static void main(String[] args) throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(1);
SingleOutputStreamOperator<WaterSensor> sensorDS = env
.socketTextStream("hadoop102", 7777)
.map(new WaterSensorMapFunction());
/**
* TODO 写入mysql
* 1、只能用老的sink写法: addsink
* 2、JDBCSink的4个参数:
* 第一个参数: 执行的sql,一般就是 insert into
* 第二个参数: 预编译sql, 对占位符填充值
* 第三个参数: 执行选项 ---》 攒批、重试
* 第四个参数: 连接选项 ---》 url、用户名、密码
*/
SinkFunction<WaterSensor> jdbcSink = JdbcSink.sink(
"insert into ws values(?,?,?)",
new JdbcStatementBuilder<WaterSensor>() {
@Override
public void accept(PreparedStatement preparedStatement, WaterSensor waterSensor) throws SQLException {
//每收到一条WaterSensor,如何去填充占位符
preparedStatement.setString(1, waterSensor.getId());
preparedStatement.setLong(2, waterSensor.getTs());
preparedStatement.setInt(3, waterSensor.getVc());
}
},
JdbcExecutionOptions.builder()
.withMaxRetries(3) // 重试次数
.withBatchSize(100) // 批次的大小:条数
.withBatchIntervalMs(3000) // 批次的时间
.build(),
new JdbcConnectionOptions.JdbcConnectionOptionsBuilder()
.withUrl("jdbc:mysql://hadoop102:3306/test?serverTimezone=Asia/Shanghai&useUnicode=true&characterEncoding=UTF-8")
.withUsername("root")
.withPassword("000000")
.withConnectionCheckTimeoutSeconds(60) // 重试的超时时间
.build()
);
sensorDS.addSink(jdbcSink);
env.execute();
}
}
(4) 运行代码,用客户端连接MySQL,查看是否成功写入数据。