dstream中的独特元素

时间:2016-06-07 17:16:42

标签: apache-spark pyspark spark-streaming dstream

我正在处理窗口dstreams,其中每个dstream包含3个带有以下键的rdd:

a,b,c
b,c,d
c,d,e
d,e,f

我想在所有dstream中获得唯一的密钥

a,b,c,d,e,f

如何在火花流中做到这一点?

1 个答案:

答案 0 :(得分:2)

我们可以使用一个t + 4间隔的窗口来保持“最近最近看到的密钥”的数量,并使用它来删除当前间隔的重复项。

有些内容:

// original dstream
val dstream = ??? 
// make distinct (for a single interval) and pair with 1's for counting
val keyedDstream = dstream.transform(rdd=> rdd.distinct).map(e => (e,1))
// keep a window of t*4 with the count of distinct keys we have seen
val windowed = keyedDstream.reduceByKeyAndWindow((x:Int,y:Int) => x+y, Seconds(4),Seconds(1))
// join the windowed count with the initially keyed dstream
val joined = keyedDstream.join(windowed)
// the unique keys though the window are those with a running count of 1 (only seen in the current interval) 
val uniquesThroughWindow = joined.transform{rdd => 
    rdd.collect{case (k,(current, prev)) if (prev == 1) => k}
}
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