I try to parse a tab seperated file in Spark 1.5 with a json section as
efficent as possible.
The file looks like follows:
value1<tab>value2<tab>{json}
How can I parse all fields inc the json fields into a RDD directly?
If I use this peace of code:
val jsonCol = sc.textFile("/data/input").map(l => l.split("\t",3)).map(x =>
x(2).trim()).cache()
val json = sqlContext.read.json(jsonCol).rdd
I will loose value1 and value2!!!
I'm open for any idea!
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I'm using Spark 1.5
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