2016-08-03 59 views

回答

2

我在弗林克殼($FLINK_HOME/bin/start-scala-shell.sh local)用下面的代碼來實現這一點:

import org.apache.flink.util.Collector 
benv. 
    fromElements(("a-b", "data1", 1), ("a-c", "data2", 1), ("a-b", "data3", 1)). 
    groupBy(0). 
    reduceGroup { 
    (it: Iterator[(String, String, Int)], out: Collector[(String, List[String], Int)]) => { 
     // Watch out: if the group is _very_ large this can lead to OOM errors 
     val group = it.toList 
     // For all groups with at least one element (prevent out-of-bounds) 
     if (group.length > 0) 
     // Get the "name", all the elements and their third-column aggregate 
     out.collect((group(0)._1, group.map(_._2), group.map(_._3).sum)) 
    } 
    }.print 

利用隨後的輸出

(a-b,List(data1, data3),2) 
(a-c,List(data2),1) 
+0

謝謝您!我希望除了類似MapReduce的解決方案之外,還有其他一些可用的東西,但這仍然是(仍然),而不是這種情況。再次感謝你 :-)! –

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