flink读取kafka数据批量写入到impala数据库代码示例

以下是一个简单的 Flink 读取 Kafka 数据并批量写入 Impala 数据库的代码示例：

import org.apache.flink.streaming.api.scala._
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer
import org.apache.flink.streaming.util.serialization.SimpleStringSchema
import org.apache.flink.table.api.scala._
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.sinks.ImpalaTableSink

val env = StreamExecutionEnvironment.getExecutionEnvironment
val tableEnv = TableEnvironment.getTableEnvironment(env)

val kafkaProps = new Properties()
kafkaProps.setProperty("bootstrap.servers", "localhost:9092")
kafkaProps.setProperty("group.id", "flink-kafka-consumer")

val kafkaConsumer = new FlinkKafkaConsumer[String]("my-topic", new SimpleStringSchema(), kafkaProps)
val kafkaStream = env.addSource(kafkaConsumer)

val table = tableEnv.fromDataStream(kafkaStream)
tableEnv.registerTable("my_table", table)

val impalaProps = new Properties()
impalaProps.setProperty("jdbc.url", "jdbc:impala://localhost:21050/my_database")
impalaProps.setProperty("jdbc.driver", "com.cloudera.impala.jdbc41.Driver")
impalaProps.setProperty("jdbc.username", "my_username")
impalaProps.setProperty("jdbc.password", "my_password")

val impalaSink = new ImpalaTableSink("my_table", impalaProps)
table.insertInto(impalaSink)

env.execute("Flink Kafka-Impala Example")

希望这个代码示例能够帮助你！