Flink读取Kafka数据Sink到MySQL和HBase数据库

た入场券 2022-04-23 06:36 210阅读 0赞

## Flink读取Kafka数据Sink到MySQL和HBase数据库 ##

Flink将流数据Sink到数据库，一般需要自己自定义Sink的实现。下面示例，演示Sink到MySQL和HBase示例。

import java.util.Properties
    import org.apache.flink.api.common.serialization.SimpleStringSchema
    import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
    import org.apache.flink.streaming.api.scala._
    import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer010
    
    object KafkaToSinkStreaming {
    
      def main(args: Array[String]): Unit = {
    
        val env = StreamExecutionEnvironment.getExecutionEnvironment
    
        val p = new Properties()
        p.setProperty("bootstrap.servers", "localhost:9092")
        p.setProperty("group.id", "test")
        val input = env.addSource(new FlinkKafkaConsumer010[String]("test", new SimpleStringSchema(), p))
    
        // 自定义MysqlSink类，将数据Sink到mysql
        val sink = new MysqlSink("jdbc:mysql://localhost:3306/test", "root", "root")
        input.addSink(sink)
    
        // 自定义HBaseSink类，将数据Sink到HBase
        val hBaseSink = new HBaseSink("student", "info")
        input.addSink(hBaseSink)
    
        env.execute("KafkaToSinkStreaming")
      }
    }

#### 自定义MysqlSink类 ####

import java.sql.{Connection, DriverManager}
    
    import com.google.gson.Gson
    import org.apache.flink.configuration.Configuration
    import org.apache.flink.streaming.api.functions.sink.{RichSinkFunction, SinkFunction}
    
    class MysqlSink(url: String, user: String, pwd: String) extends RichSinkFunction[String] {
    
      var conn: Connection = _
    
      override def open(parameters: Configuration): Unit = {
        super.open(parameters)
        Class.forName("com.mysql.jdbc.Driver")
        conn = DriverManager.getConnection(url, user, pwd)
        conn.setAutoCommit(false)
      }
    
      override def invoke(value: String, context: SinkFunction.Context[_]): Unit = {
        val g = new Gson()
        val s = g.fromJson(value, classOf[Student])
        println(value)
        val p = conn.prepareStatement("replace into student(name,age,sex,sid) values(?,?,?,?)")
        p.setString(1, s.name)
        p.setString(2, s.age.toString)
        p.setString(3, s.sex)
        p.setString(4, s.sid)
        p.execute()
        conn.commit()
      }
    
      override def close(): Unit = {
        super.close()
        conn.close()
      }
    
    }

#### 自定义HBaseSink类 ####

import com.google.gson.Gson
    import org.apache.flink.configuration.Configuration
    import org.apache.flink.streaming.api.functions.sink.{RichSinkFunction, SinkFunction}
    import org.apache.hadoop.hbase.{HBaseConfiguration, HConstants, TableName}
    import org.apache.hadoop.hbase.client._
    import org.apache.hadoop.hbase.util.Bytes
    
    class HBaseSink(tableName: String, family: String) extends RichSinkFunction[String] {
    
    
      var conn: Connection = _
    
      override def open(parameters: Configuration): Unit = {
        super.open(parameters)
        val conf = HBaseConfiguration.create()
        conf.set(HConstants.ZOOKEEPER_QUORUM, "localhost")
        conn = ConnectionFactory.createConnection(conf)
      }
    
      override def invoke(value: String, context: SinkFunction.Context[_]): Unit = {
        val g = new Gson()
        val student = g.fromJson(value, classOf[Student])
        println(value)
        println(student)
    
        val t: Table = conn.getTable(TableName.valueOf(tableName))
    
        val put: Put = new Put(Bytes.toBytes(student.sid))
        put.addColumn(Bytes.toBytes(family), Bytes.toBytes("name"), Bytes.toBytes(student.name))
        put.addColumn(Bytes.toBytes(family), Bytes.toBytes("age"), Bytes.toBytes(student.age))
        put.addColumn(Bytes.toBytes(family), Bytes.toBytes("sex"), Bytes.toBytes(student.sex))
        t.put(put)
        t.close()
      }
    
      override def close(): Unit = {
        super.close()
        conn.close()
      }
    }

#### Student类 ####

case class Student(name: String, age: Int, sex: String, sid: String)

执行KafkaToSinkStreaming程序后，在kafka product端输入。

{"name":"zhangsan","age":"18","sex":"male","sid":"1001"}
    {"name":"lisi","age":"20","sex":"male","sid":"1002"}
    {"name":"laowang","age":"20","sex":"male","sid":"1003"}
    {"name":"caocao","age":"28","sex":"male","sid":"1004"}

mysql的数据库结果：

![image][]

HBase数据库结果：

![image][image 1]

[具体代码见github项目][github]

[image]: /images/20220323/fd7731329a274dc4aebd464da2acaabc.png
[image 1]: /images/20220323/ffdbc250d704465ca19b5b573064a005.png
[github]: https://github.com/zhang3550545/flinkdemo