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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