Di seguito la risposta:
import org.apache.hadoop.conf.Configuration
import org.apache.mahout.math.cf.SimilarityAnalysis
import org.apache.mahout.math.indexeddataset.Schema
import org.apache.mahout.sparkbindings
import org.apache.mahout.sparkbindings.indexeddataset.IndexedDatasetSpark
import org.apache.spark.rdd.RDD
import org.bson.BSONObject
import com.mongodb.hadoop.MongoInputFormat
object SparkExample extends App {
implicit val mc = sparkbindings.mahoutSparkContext(masterUrl = "local", appName = "RowSimilarity")
val mongoConfig = new Configuration()
mongoConfig.set("mongo.input.uri", "mongodb://hostname:27017/db.collection")
val documents: RDD[(Object, BSONObject)] = mc.newAPIHadoopRDD(
mongoConfig,
classOf[MongoInputFormat],
classOf[Object],
classOf[BSONObject]
)
val documents_Array: RDD[(String, Array[String])] = documents.map(
doc1 => (
doc1._2.get("product_id").toString(),
doc1._2.get("product_attribute_value").toString().replace("[ \"", "").replace("\"]", "").split("\" , \"").map(value => value.toLowerCase.replace(" ", "-").mkString(" "))
)
)
val new_doc: RDD[(String, String)] = documents_Array.flatMapValues(x => x)
val myIDs = IndexedDatasetSpark(new_doc)(mc)
val readWriteSchema = new Schema(
"rowKeyDelim" -> "\t",
"columnIdStrengthDelim" -> ":",
"omitScore" -> false,
"elementDelim" -> " "
)
SimilarityAnalysis.rowSimilarityIDS(myIDs).dfsWrite("hdfs://hadoop:9000/mongo-hadoop-rowsimilarity", readWriteSchema)(mc)
}
build.sbt:
name := "scala-mongo"
version := "1.0"
scalaVersion := "2.10.6"
libraryDependencies += "org.mongodb" %% "casbah" % "3.1.1"
libraryDependencies += "org.apache.spark" %% "spark-core" % "1.6.1"
libraryDependencies += "org.mongodb.mongo-hadoop" % "mongo-hadoop-core" % "1.4.2"
libraryDependencies ++= Seq(
"org.apache.hadoop" % "hadoop-client" % "2.6.0" exclude("javax.servlet", "servlet-api") exclude ("com.sun.jmx", "jmxri") exclude ("com.sun.jdmk", "jmxtools") exclude ("javax.jms", "jms") exclude ("org.slf4j", "slf4j-log4j12") exclude("hsqldb","hsqldb"),
"org.scalatest" % "scalatest_2.10" % "1.9.2" % "test"
)
libraryDependencies += "org.apache.mahout" % "mahout-math-scala_2.10" % "0.11.2"
libraryDependencies += "org.apache.mahout" % "mahout-spark_2.10" % "0.11.2"
libraryDependencies += "org.apache.mahout" % "mahout-math" % "0.11.2"
libraryDependencies += "org.apache.mahout" % "mahout-hdfs" % "0.11.2"
resolvers += "typesafe repo" at " http://repo.typesafe.com/typesafe/releases/"
resolvers += Resolver.mavenLocal
Ho usato mongo-hadoop per ottenere dati da Mongo e utilizzarli. Poiché i miei dati avevano un array, ho dovuto utilizzare flatMapValues per appiattirli e quindi passare a IDS per un output corretto.
PS:ho pubblicato la risposta qui e non la domanda collegata perché questa domanda e risposta copre l'intero ambito dell'acquisizione dei dati e dell'elaborazione degli stessi.
