Flink DataStream使用JdbcInputFormat方式从Mysql读取数据
- 1. 背景
- 2. 查看Mysql表数据
- 3. Flink DataStream查询数据程序
官网Jdbc DataStream Connector只有Sink，没有Source，所以需要用其它方式从Mysql查询数据
2. 查看Mysql表数据mysql> select * from person;
+------+------+
| id | name |
+------+------+
| 1 | yi |
| 2 | er |
+------+------+
2 rows in set (0.00 sec)
mysql>
import org.apache.flink.api.common.typeinfo.BasicTypeInfo
import org.apache.flink.api.java.typeutils.RowTypeInfo
import org.apache.flink.connector.jdbc.JdbcInputFormat
import org.apache.flink.streaming.api.scala.{DataStream, StreamExecutionEnvironment, createTypeInformation}
import org.apache.flink.types.Row
object FlinkTest {
def main(args: Array[String]): Unit = {
val senv:StreamExecutionEnvironment = StreamExecutionEnvironment.getExecutionEnvironment
senv.setParallelism(1)
val mysqlPersonDataInput:DataStream[Row] = senv.createInput(JdbcInputFormat.buildJdbcInputFormat()
.setDrivername("com.mysql.cj.jdbc.Driver")
.setDBUrl("jdbc:mysql://192.168.8.115:3306/test?serverTimezone=GMT%2B8&useSSL=false")
.setUsername("root")
.setPassword("Root_123")
.setQuery("select id, name from person")
.setRowTypeInfo(new RowTypeInfo(
BasicTypeInfo.LONG_TYPE_INFO,
BasicTypeInfo.STRING_TYPE_INFO))
.finish())
mysqlPersonDataInput.executeAndCollect().foreach(println)
}
}
运行程序，结果如下:
+I[1, yi]
+I[2, er]
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