Please take a look at the example in SPARK-10287
FYI
On Wed, Sep 9, 2015 at 8:50 AM, prachicsa <prachi...@gmail.com> wrote:
>
>
> I am very new to Spark.
>
> I have a very basic question. I read a file in Spark RDD in which each line
> is a JSON. I want to make apply groupBy like transformations. So I want to
> transform each JSON line into a PairRDD. Is there a straight forward way to
> do it in Java?
>
> My json is like this:
>
> {
> "tmpl": "p",
> "bw": "874",
> "aver": {"cnac": "US","t1": "2"},
> }
>
> Currently, the way I am trying is the to split by , first and then by :. Is
> there any straight forward way to do this?
>
> My current code:
>
> val pairs = setECrecords.flatMap(x => (x.split(",")))
> pairs.foreach(println)
>
> val pairsastuple = pairs.map(x => if(x.split("=").length>1)
> (x.split("=")(0), x.split("=")(1)) else (x.split("=")(0), x))
>
>
>
>
>
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