使用Apache Flink实现MySQL数据读取和写入的完整指南
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.SourceFunction;
import org.apache.flink.streaming.connectors.mysql.MySqlConnectionData;
import org.apache.flink.streaming.connectors.mysql.MySqlConnector;
import org.apache.flink.streaming.connectors.mysql.MySqlSinkFunction;
import org.apache.flink.streaming.connectors.mysql.table.DynamicTableSink;
import org.apache.flink.types.Row;
public class FlinkMySqlExample {
public static void main(String[] args) throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
// 读取MySQL数据
DataStream<String> inputStream = env.addSource(new MySqlSourceFunction());
// 写入MySQL数据
inputStream.addSink(MySqlConnector.newBuilder()
.setDriverName("com.mysql.jdbc.Driver")
.setUsername("yourUsername")
.setPassword("yourPassword")
.setDBUrl("jdbc:mysql://yourJdbcHost:yourJdbcPort/yourDatabase")
.setTableName("yourTableName")
.setBatchIntervalMs(2000) // 每2秒执行一次批量写入
.setBatchSize(1000) // 当批次达到1000条记录时写入数据库
.build()
);
env.execute("Flink MySQL Example");
}
private static class MySqlSourceFunction implements SourceFunction<String> {
private boolean running = true;
@Override
public void run(SourceContext<String> ctx) throws Exception {
// 模拟从MySQL数据库读取数据的逻辑
while (running) {
// 假设从数据库中获取到了一条新数据
String newData = "data from MySQL";
ctx.collect(newData);
// 模拟一个数据获取间隔
Thread.sleep(1000);
}
}
@Override
public void cancel() {
running = false;
}
}
}
这段代码展示了如何使用Apache Flink连接MySQL数据库进行数据读取和写入。首先,我们创建了一个自定义的SourceFunction来模拟从MySQL读取数据。然后,我们使用MySqlConnector来指定如何连接到MySQL数据库,并且如何将数据写入其中。这个例子简单地演示了如何使用Flink的MySQL连接器,并没有包含完整的错误处理或生产就绪的代码。
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