Parsing Json object definition spanning multiple lines

[SK]

Hi,

I have a json file where the definition of each object spans multiple lines.
An example of one object definition appears below.

 {
    "name": "16287e9cdf",
    "width": 500,
    "height": 325,
    "width": 1024,
    "height": 665,
    "obj": [
      {
        "x": 395.08,
        "y": 82.09,
        "w": 185.48677,
        "h": 185.48677,
        "min": 50,
        "max": 59,
        "attr1": 2,
        "attr2": 68,
        "attr3": 8
      },
      {
        "x": 519.1,
        "y": 225.8,
        "w": 170,
        "h": 171,
        "min": 20,
        "max": 29,
        "attr1": 7,
        "attr2": 93,
        "attr3": 10
      }
   ]
}

I used the following Spark code to parse the file. However, the parsing is
failing because I think it expects one Json object definition per line. I
can try to preprocess the input file  to remove the new lines, but I would
like to know if it is possible to parse a Json object definition that spans
multiple lines, directly in Spark.  

val inp = sc.textFile(args(0))
val res = inp.map(line => { parse(line) })
                   .map(json =>
                      {
                         implicit lazy val formats =
org.json4s.DefaultFormats
                         val image = (json \ "name").extract[String]
                      }
                    )


Thanks for  your help.





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