如何使用Spark流将整个json从kafka主题保存到Cassandra表



这是我的json数据,我正在将其发送给kafka主题,使用spark rdd进行阅读,救进卡桑德拉。

[{
"sensor": "swapSensor",
"sendtime": "2016-09-15T11:05:01.000Z",
"data": [{
"@context": "Context"
         }]
}]

这是我的卡桑德拉的桌子CREATE TABLE IF NOT EXISTS event(sensor text,sendTime text,count bigint,entireJson text, PRIMARY KEY ((sensor)));

我想将整个json(原始)数据推送到表的列entireJson

这是我的密码。

object StreamingData {
  var count = 1

  def main(args: Array[String]) {
    val Array(brokers, topics, cassandraHost) = Array("1.11.22.50:9092", "c", "localhost")

    def createSparkContext(): StreamingContext = {
      val conf = new SparkConf()
        .setAppName("c Events Processing")
        .setMaster("local[2]")
        .set("spark.cassandra.connection.host", cassandraHost)
        .set("spark.cassandra.connection.keep_alive_ms", "60000") // prevent cassandra connection from being closed after every write
      val sc = new SparkContext(conf)
      // Create the context
      val ssc = new StreamingContext(sc, Seconds(8))
      val sqlContext = new SQLContext(sc);
      // Kafka stream
      val kafkaParams = Map[String, String]("metadata.broker.list" -> brokers)
      val topicsSet = topics.split(",").toSet
      val cEvents = KafkaUtils.createDirectStream[String, String, StringDecoder, StringDecoder](ssc, kafkaParams, topicsSet).map(_._2)
      cEvents.foreachRDD { rdd =>
        count = count + 1
        sqlContext.read.json(rdd).registerTempTable("eventTable")
        val eventdf1 = sqlContext.sql("SELECT * FROM eventTable")

        eventdf1.collect.foreach(println)
        val eventdf = sqlContext.sql("SELECT sensor, sendtime,data.actor FROM eventTable")
        eventdf.printSchema()
        eventdf.map {
          case (r) => (r.getString(0) + count, sendtime, count,eventdf1)
        }
          .saveToCassandra("c", "event", SomeColumns("sensor", "sendtime", "count","entireJson"))
      }

      ssc
    }

  }

创建一个实体类,然后将其映射到表中。使用它可以直接将RDD存储到cassandra数据库中。==检查以下链接https://github.com/datastax/spark-cassandra-connector/blob/master/doc/6_advanced_mapper.md

我试过了,它可以将原始数据保存到我的Cassandras表列中。

 var rawdata = ""
        for (item <- rdd.collect().toArray) {
          System.out.println(item);
          rawdata = item
        }

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