spark 读取 kafka 指定偏移量数据

蔚落 2022-01-22 12:55 378阅读 0赞

1，读取zookeeper里面的最大偏移量
    2，手动输入指定的偏移量，实际生产是从redis读取，这里只是个案例
    
    
    import java.util
    
    import com.alibaba.fastjson.{JSON, JSONObject}
    import com.dianyou.util._
    import org.apache.kafka.clients.consumer.ConsumerRecord
    import org.apache.kafka.common.serialization.StringDeserializer
    import org.apache.spark.SparkConf
    import org.apache.spark.rdd.RDD
    import org.apache.spark.sql.SparkSession
    import org.apache.spark.streaming.kafka010.{KafkaUtils, LocationStrategies, OffsetRange}
    
    
    
    
    object SparkReadKafkaByOffsets {
    
      def main(args: Array[String]): Unit = {
    
    
        val sparkConf = new SparkConf()
    
        sparkConf.set("spark.app.name", "local_test")
        sparkConf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
        sparkConf.set("spark.debug.maxToStringFields", "1000")
        sparkConf.set("spark.master", "local[*]")
    
    
    
        val spark = SparkSession
          .builder
          .config(sparkConf)
          .getOrCreate()
    
    
        val sc = spark.sparkContext
    
    
        val kafkaServer = "node4:9092,node5:9092,node6:9092,node7:9092"
    //    val kafkaGroup = "group-test2019"
        val kafkaGroup = "group-test2019"
    //    val kafkaTopic = "dianyou_wxgz"
        val kafkaTopic = "dianyou_filter"
    
        //todo kafka的参数
        val kafkaParams: util.HashMap[String, Object] = new util.HashMap[String, Object]()
        kafkaParams.put("bootstrap.servers", kafkaServer)
        kafkaParams.put("key.deserializer", classOf[StringDeserializer])
        kafkaParams.put("value.deserializer", classOf[StringDeserializer])
        kafkaParams.put("group.id", kafkaGroup)
        kafkaParams.put("auto.offset.reset", "earliest")
        kafkaParams.put("enable.auto.commit", (false: java.lang.Boolean))
    
        val latestOffsetMap: util.Map[Int, Long] = OffsetRangeUtils.getLatestTimeOffset(kafkaServer, kafkaTopic)
        val startOffsetMap: util.Map[Int, Long] = new util.HashMap[Int, Long]()
        startOffsetMap.put(0,520130L)
        startOffsetMap.put(1,520120L)
        startOffsetMap.put(2,520127L)
        startOffsetMap.put(3,520114L)
        //todo 传入指定的偏移量
        val offsetRanges: Array[OffsetRange] = OffsetRangeUtils
          .getAppointOffsetRange(
            kafkaServer,
            kafkaTopic,
            startOffsetMap,
            latestOffsetMap
          )
    
        for (or <- offsetRanges) {
          println("打印：topic的name" + or.topic + "--------------分区：" + or.partition + "-------------偏移量：" + or.untilOffset.toString)
          println("++++++++++++++++++++++++++++++")
        }
    
        val rdd: RDD[ConsumerRecord[String, String]] = KafkaUtils
          .createRDD[String, String](
          sc,
          kafkaParams,
          offsetRanges,
          LocationStrategies.PreferConsistent)
    
    
        val rowRDD = rdd.map(line => {
    
            val value = line.value()
            val  publicJson: JSONObject =JSON.parseObject(value);
          if (publicJson.containsKey("urlTime")){
              val value = publicJson.getString("urlTime")
    
          }
            publicJson.toString
    
        })
        val aa = rowRDD.count()
        val rs = rowRDD.collect().toList
        println(rs)
        println(aa)
      }
    
    
    
    
    }