Newer
Older
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
package stats
import org.rogach.scallop._
import org.json4s.jackson.Serialization
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.SparkSession
import org.apache.log4j.Logger
import org.apache.log4j.Level
class Conf(arguments: Seq[String]) extends ScallopConf(arguments) {
val data = opt[String](required = true)
val json = opt[String]()
verify()
}
case class Rating(user: Int, item: Int, rating: Double)
object Analyzer extends App {
// Remove these lines if encountering/debugging Spark
Logger.getLogger("org").setLevel(Level.OFF)
Logger.getLogger("akka").setLevel(Level.OFF)
val spark = SparkSession.builder()
.master("local[1]")
.getOrCreate()
spark.sparkContext.setLogLevel("ERROR")
println("")
println("******************************************************")
var conf = new Conf(args)
println("Loading data from: " + conf.data())
val dataFile = spark.sparkContext.textFile(conf.data())
val data = dataFile.map(l => {
val cols = l.split("\t").map(_.trim)
Rating(cols(0).toInt, cols(1).toInt, cols(2).toDouble)
})
assert(data.count == 100000, "Invalid data")
// Save answers as JSON
def printToFile(content: String,
location: String = "./answers.json") =
Some(new java.io.PrintWriter(location)).foreach{
f => try{
f.write(content)
} finally{ f.close }
}
conf.json.toOption match {
case None => ;
case Some(jsonFile) => {
var json = "";
{
// Limiting the scope of implicit formats with {}
implicit val formats = org.json4s.DefaultFormats
val answers: Map[String, Any] = Map(
"3.1.1" -> Map(
"global-avg-rating" -> 3.0
)
)
json = Serialization.writePretty(answers)
}
println(json)
println("Saving answers in: " + jsonFile)
printToFile(json, jsonFile)
}
}
println("")
spark.close()
}