请帮我写一个flink 消费kafka将数据备份至hbase中,语言使用scala,flink版本为1.14.0
时间: 2023-05-22 11:02:48 浏览: 207
SparkStreaming_HBase:将从Kafka收集过来的数据保存到HBase中
以下是使用 Scala 编写的 Flink 消费 Kafka 并备份至 HBase 的代码:
```
import org.apache.flink.streaming.api.scala._
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer
import org.apache.flink.streaming.connectors.hbase._
import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
import org.apache.flink.streaming.api.CheckpointingMode
import org.apache.flink.streaming.api.TimeCharacteristic
import org.apache.flink.streaming.api.functions.sink.SinkFunction
object KafkaToFlinkToHBase {
def main(args: Array[String]): Unit = {
val env = StreamExecutionEnvironment.getExecutionEnvironment
// 设置 Checkpoint 相关参数
env.enableCheckpointing(5000, CheckpointingMode.EXACTLY_ONCE)
env.getCheckpointConfig.setMinPauseBetweenCheckpoints(500)
env.getCheckpointConfig.setCheckpointTimeout(60000)
env.getCheckpointConfig.setMaxConcurrentCheckpoints(1)
// 设置 TimeCharacteristic
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime)
val kafkaProps = new Properties()
kafkaProps.setProperty("bootstrap.servers", "localhost:9092")
kafkaProps.setProperty("group.id", "test-group")
val consumer = new FlinkKafkaConsumer[String]("test-topic", new SimpleStringSchema(), kafkaProps)
val kafkaStream = env.addSource(consumer)
val hbaseConf = HBaseConfiguration.create()
hbaseConf.set(TableOutputFormat.OUTPUT_TABLE, "test-table")
hbaseConf.set("hbase.zookeeper.quorum", "localhost:2181")
hbaseConf.set("hbase.zookeeper.property.clientPort", "2181")
val hbaseStream = kafkaStream.map(record => {
// 进行数据处理
// ...
// 将处理后的数据放入 HBase 表
val hbaseRecord = new Put(Bytes.toBytes("row-key"))
hbaseRecord.addColumn(Bytes.toBytes("columnFamily"), Bytes.toBytes("qualifier"), Bytes.toBytes(record))
hbaseRecord
})
hbaseStream.addSink(new HBaseSinkFunction(hbaseConf))
env.execute("KafkaToFlinkToHBase")
}
}
```
请确保正确配置 HBase 和 Kafka 的相关参数。
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