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Spark + MNS__Spark_開發人員指南_E-MapReduce-阿裏雲

Spark + MNS

Spark 接入 MNS

下麵這個例子演示了 Spark Streaming 如何消費 MNS 中的數據，統計每個 batch 內的單詞個數。

    val conf = new SparkConf().setAppName("Test MNS Streaming")
    val batchInterval = Seconds(10)
    val ssc = new StreamingContext(conf, batchInterval)
    val queuename = "queuename"
    val accessKeyId = "<accessKeyId>"
    val accessKeySecret = "<accessKeySecret>"
    val endpoint = "https://xxx.yyy.zzzz/abc"
    val mnsStream = MnsUtils.createPullingStreamAsRawBytes(ssc, queuename, accessKeyId, accessKeySecret, endpoint,
      StorageLevel.MEMORY_ONLY)
    mnsStream.foreachRDD( rdd => {
      rdd.map(bytes => new String(bytes)).flatMap(line => line.split(" "))
        .map(word => (word, 1))
        .reduceByKey(_ + _).collect().foreach(e => println(s"word: ${e._1}, cnt: ${e._2}"))
    })
    ssc.start()
    ssc.awaitTermination()

附錄

完整示例代碼請看: