How to use ConvertToWritableTypes in scala spark? -

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i looking @ basicsavesequencefile , tried follow in scala

so had:

val input = seq(("coffee", 1), ("coffee", 2), ("pandas", 3)) val inputrdd = sc.parallelize(input) // no parallelizepairs

but when try:

val outputrdd = inputrdd.map(new converttowritabletypes()) // have no maptopair how write instead?

how use converttowritabletypes in scala spark?

right get:

error:(29, 38) type mismatch;  found   : sparkexamplewriteseqlzo.converttowritabletypes  required: ((string, int)) => ?         val outputrdd = inputrdd.map(new converttowritabletypes())                                      ^

so you're looking @ java version, should looking @ scala version api's different. example give, don't need maptopair, can use normal map without static class:

  import org.apache.hadoop.io.intwritable   import org.apache.hadoop.io.text    val input = seq(("coffee", 1), ("coffee", 2), ("pandas", 3))   val inputrdd = sc.parallelize(input)    val outputrdd = inputrdd.map(record => (new text(record._1), new intwritable(record._2)))

you don't need though, scala example linked shows you:

  val data = sc.parallelize(list(("holden", 3), ("kay", 6), ("snail", 2)))   data.saveassequencefile(outputfile)

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