org.apache.spark.rdd.HadoopRDD Scala Examples

The following examples show how to use org.apache.spark.rdd.HadoopRDD. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.

Example 1

Source File: JavaHadoopRDD.scala From drizzle-spark with Apache License 2.0

5 votes

package org.apache.spark.api.java

import scala.collection.JavaConverters._
import scala.reflect.ClassTag

import org.apache.hadoop.mapred.InputSplit

import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.api.java.JavaSparkContext._
import org.apache.spark.api.java.function.{Function2 => JFunction2}
import org.apache.spark.rdd.HadoopRDD

@DeveloperApi
class JavaHadoopRDD[K, V](rdd: HadoopRDD[K, V])
    (implicit override val kClassTag: ClassTag[K], implicit override val vClassTag: ClassTag[V])
  extends JavaPairRDD[K, V](rdd) {

  
  @DeveloperApi
  def mapPartitionsWithInputSplit[R](
      f: JFunction2[InputSplit, java.util.Iterator[(K, V)], java.util.Iterator[R]],
      preservesPartitioning: Boolean = false): JavaRDD[R] = {
    new JavaRDD(rdd.mapPartitionsWithInputSplit((a, b) => f.call(a, b.asJava).asScala,
      preservesPartitioning)(fakeClassTag))(fakeClassTag)
  }
}

Example 2

Source File: L9-11CollabFilteringPreprocessing.scala From prosparkstreaming with Apache License 2.0

5 votes

package org.apress.prospark

import org.apache.hadoop.io.LongWritable
import org.apache.hadoop.io.Text
import org.apache.hadoop.mapred.FileSplit
import org.apache.hadoop.mapred.TextInputFormat
import org.apache.spark.SparkConf
import org.apache.spark.SparkContext
import org.apache.spark.rdd.HadoopRDD
import org.apache.spark.rdd.RDD.rddToPairRDDFunctions

import com.google.common.io.Files

object CollabFilteringPreprocessingApp {

  def main(args: Array[String]) {
    if (args.length != 3) {
      System.err.println(
        "Usage: CollabFilteringPreprocessingApp <appname> <inputpath> <outputpath>")
      System.exit(1)
    }
    val Seq(appName, iPath, oPath) = args.toSeq

    val conf = new SparkConf()
      .setAppName(appName)
      .setJars(SparkContext.jarOfClass(this.getClass).toSeq)

    val delim = " "

    val sc = new SparkContext(conf)
    sc.hadoopFile(iPath, classOf[TextInputFormat], classOf[LongWritable], classOf[Text], sc.defaultMinPartitions)
      .asInstanceOf[HadoopRDD[LongWritable, Text]]
      .mapPartitionsWithInputSplit((iSplit, iter) =>
        iter.map(splitAndLine => (Files.getNameWithoutExtension(iSplit.asInstanceOf[FileSplit].getPath.toString), splitAndLine._2.toString.split(" ")(1))))
      .filter(r => r._2 != "0")
      .map(r => ((r._1, r._2), 1))
      .reduceByKey(_ + _)
      .map(r => r._1._1.replace("subject", "") + delim + r._1._2 + delim + r._2)
      .sample(false, 0.7)
      .coalesce(1)
      .saveAsTextFile(oPath)
  }
}

Example 3

Source File: L9-13FPMiningPreprocessing.scala From prosparkstreaming with Apache License 2.0

5 votes

package org.apress.prospark

import org.apache.hadoop.io.LongWritable
import org.apache.hadoop.io.Text
import org.apache.hadoop.mapred.FileSplit
import org.apache.hadoop.mapred.TextInputFormat
import org.apache.spark.SparkConf
import org.apache.spark.SparkContext
import org.apache.spark.rdd.HadoopRDD
import org.apache.spark.rdd.RDD.rddToPairRDDFunctions

import com.google.common.io.Files

object FPMiningPreprocessingApp {

  def main(args: Array[String]) {
    if (args.length != 3) {
      System.err.println(
        "Usage: FPMiningPreprocessingApp <appname> <inputpath> <outputpath>")
      System.exit(1)
    }
    val Seq(appName, iPath, oPath) = args.toSeq

    val conf = new SparkConf()
      .setAppName(appName)
      .setJars(SparkContext.jarOfClass(this.getClass).toSeq)

    val delim = " "

    val sc = new SparkContext(conf)
    sc.hadoopFile(iPath, classOf[TextInputFormat], classOf[LongWritable], classOf[Text], sc.defaultMinPartitions)
      .asInstanceOf[HadoopRDD[LongWritable, Text]]
      .mapPartitionsWithInputSplit((iSplit, iter) =>
        iter.map(splitAndLine => (Files.getNameWithoutExtension(iSplit.asInstanceOf[FileSplit].getPath.toString), splitAndLine._2.toString.split(" ")(1))))
      .filter(r => r._2 != "0")
      .map(r => (r._1, r._2))
      .distinct()
      .groupByKey()
      .map(r => r._2.mkString(" "))
      .sample(false, 0.7)
      .coalesce(1)
      .saveAsTextFile(oPath)
  }
}

Example 4

Source File: JavaHadoopRDD.scala From sparkoscope with Apache License 2.0

5 votes

package org.apache.spark.api.java

import scala.collection.JavaConverters._
import scala.reflect.ClassTag

import org.apache.hadoop.mapred.InputSplit

import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.api.java.JavaSparkContext._
import org.apache.spark.api.java.function.{Function2 => JFunction2}
import org.apache.spark.rdd.HadoopRDD

@DeveloperApi
class JavaHadoopRDD[K, V](rdd: HadoopRDD[K, V])
    (implicit override val kClassTag: ClassTag[K], implicit override val vClassTag: ClassTag[V])
  extends JavaPairRDD[K, V](rdd) {

  
  @DeveloperApi
  def mapPartitionsWithInputSplit[R](
      f: JFunction2[InputSplit, java.util.Iterator[(K, V)], java.util.Iterator[R]],
      preservesPartitioning: Boolean = false): JavaRDD[R] = {
    new JavaRDD(rdd.mapPartitionsWithInputSplit((a, b) => f.call(a, b.asJava).asScala,
      preservesPartitioning)(fakeClassTag))(fakeClassTag)
  }
}

Example 5

Source File: JavaHadoopRDD.scala From SparkCore with Apache License 2.0

5 votes

package org.apache.spark.api.java

import scala.collection.JavaConversions._
import scala.reflect.ClassTag

import org.apache.hadoop.mapred.InputSplit

import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.api.java.JavaSparkContext._
import org.apache.spark.api.java.function.{Function2 => JFunction2}
import org.apache.spark.rdd.HadoopRDD

@DeveloperApi
class JavaHadoopRDD[K, V](rdd: HadoopRDD[K, V])
    (implicit override val kClassTag: ClassTag[K], implicit override val vClassTag: ClassTag[V])
  extends JavaPairRDD[K, V](rdd) {

  
  @DeveloperApi
  def mapPartitionsWithInputSplit[R](
      f: JFunction2[InputSplit, java.util.Iterator[(K, V)], java.util.Iterator[R]],
      preservesPartitioning: Boolean = false): JavaRDD[R] = {
    new JavaRDD(rdd.mapPartitionsWithInputSplit((a, b) => f.call(a, asJavaIterator(b)),
      preservesPartitioning)(fakeClassTag))(fakeClassTag)
  }
}

Example 6

Source File: JavaHadoopRDD.scala From multi-tenancy-spark with Apache License 2.0

5 votes

package org.apache.spark.api.java

import scala.collection.JavaConverters._
import scala.reflect.ClassTag

import org.apache.hadoop.mapred.InputSplit

import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.api.java.JavaSparkContext._
import org.apache.spark.api.java.function.{Function2 => JFunction2}
import org.apache.spark.rdd.HadoopRDD

@DeveloperApi
class JavaHadoopRDD[K, V](rdd: HadoopRDD[K, V])
    (implicit override val kClassTag: ClassTag[K], implicit override val vClassTag: ClassTag[V])
  extends JavaPairRDD[K, V](rdd) {

  
  @DeveloperApi
  def mapPartitionsWithInputSplit[R](
      f: JFunction2[InputSplit, java.util.Iterator[(K, V)], java.util.Iterator[R]],
      preservesPartitioning: Boolean = false): JavaRDD[R] = {
    new JavaRDD(rdd.mapPartitionsWithInputSplit((a, b) => f.call(a, b.asJava).asScala,
      preservesPartitioning)(fakeClassTag))(fakeClassTag)
  }
}

Example 7

Source File: JavaHadoopRDD.scala From iolap with Apache License 2.0

5 votes

package org.apache.spark.api.java

import scala.collection.JavaConversions._
import scala.reflect.ClassTag

import org.apache.hadoop.mapred.InputSplit

import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.api.java.JavaSparkContext._
import org.apache.spark.api.java.function.{Function2 => JFunction2}
import org.apache.spark.rdd.HadoopRDD

@DeveloperApi
class JavaHadoopRDD[K, V](rdd: HadoopRDD[K, V])
    (implicit override val kClassTag: ClassTag[K], implicit override val vClassTag: ClassTag[V])
  extends JavaPairRDD[K, V](rdd) {

  
  @DeveloperApi
  def mapPartitionsWithInputSplit[R](
      f: JFunction2[InputSplit, java.util.Iterator[(K, V)], java.util.Iterator[R]],
      preservesPartitioning: Boolean = false): JavaRDD[R] = {
    new JavaRDD(rdd.mapPartitionsWithInputSplit((a, b) => f.call(a, asJavaIterator(b)),
      preservesPartitioning)(fakeClassTag))(fakeClassTag)
  }
}

Example 8

Source File: JavaHadoopRDD.scala From spark1.52 with Apache License 2.0

5 votes

package org.apache.spark.api.java

import scala.collection.JavaConversions._
import scala.reflect.ClassTag

import org.apache.hadoop.mapred.InputSplit

import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.api.java.JavaSparkContext._
import org.apache.spark.api.java.function.{Function2 => JFunction2}
import org.apache.spark.rdd.HadoopRDD

@DeveloperApi
class JavaHadoopRDD[K, V](rdd: HadoopRDD[K, V])
    (implicit override val kClassTag: ClassTag[K], implicit override val vClassTag: ClassTag[V])
  extends JavaPairRDD[K, V](rdd) {

  
  @DeveloperApi
  def mapPartitionsWithInputSplit[R](
      f: JFunction2[InputSplit, java.util.Iterator[(K, V)], java.util.Iterator[R]],
      preservesPartitioning: Boolean = false): JavaRDD[R] = {
    new JavaRDD(rdd.mapPartitionsWithInputSplit((a, b) => f.call(a, asJavaIterator(b)),
      preservesPartitioning)(fakeClassTag))(fakeClassTag)
  }
}

Example 9

Source File: JavaHadoopRDD.scala From Spark-2.3.1 with Apache License 2.0

5 votes

package org.apache.spark.api.java

import scala.collection.JavaConverters._
import scala.reflect.ClassTag

import org.apache.hadoop.mapred.InputSplit

import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.api.java.JavaSparkContext._
import org.apache.spark.api.java.function.{Function2 => JFunction2}
import org.apache.spark.rdd.HadoopRDD

@DeveloperApi
class JavaHadoopRDD[K, V](rdd: HadoopRDD[K, V])
    (implicit override val kClassTag: ClassTag[K], implicit override val vClassTag: ClassTag[V])
  extends JavaPairRDD[K, V](rdd) {

  
  @DeveloperApi
  def mapPartitionsWithInputSplit[R](
      f: JFunction2[InputSplit, java.util.Iterator[(K, V)], java.util.Iterator[R]],
      preservesPartitioning: Boolean = false): JavaRDD[R] = {
    new JavaRDD(rdd.mapPartitionsWithInputSplit((a, b) => f.call(a, b.asJava).asScala,
      preservesPartitioning)(fakeClassTag))(fakeClassTag)
  }
}

Example 10

Source File: TextFileOverwrite.scala From spark_helper with Apache License 2.0

5 votes

package org.apache.spark

import org.apache.spark.rdd.{RDD, HadoopRDD}
import org.apache.spark.util.SerializableConfiguration
import org.apache.hadoop.mapred.{FileInputFormat, JobConf, TextInputFormat}
import org.apache.hadoop.io.{LongWritable, Text}
import org.apache.hadoop.fs.Path

object TextFileOverwrite {

  def textFile(
      paths: Seq[String],
      minPartitions: Int,
      sc: SparkContext
  ): RDD[String] = {

    

    val confBroadcast =
      sc.broadcast(new SerializableConfiguration(sc.hadoopConfiguration))

    val setInputPathsFunc =
      (jobConf: JobConf) =>
        FileInputFormat.setInputPaths(jobConf, paths.map(p => new Path(p)): _*)

    new HadoopRDD(
      sc,
      confBroadcast,
      Some(setInputPathsFunc),
      classOf[TextInputFormat],
      classOf[LongWritable],
      classOf[Text],
      minPartitions
    ).map(pair => pair._2.toString)
  }
}

Example 11

Source File: JavaHadoopRDD.scala From BigDatalog with Apache License 2.0

5 votes

package org.apache.spark.api.java

import scala.collection.JavaConverters._
import scala.reflect.ClassTag

import org.apache.hadoop.mapred.InputSplit

import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.api.java.JavaSparkContext._
import org.apache.spark.api.java.function.{Function2 => JFunction2}
import org.apache.spark.rdd.HadoopRDD

@DeveloperApi
class JavaHadoopRDD[K, V](rdd: HadoopRDD[K, V])
    (implicit override val kClassTag: ClassTag[K], implicit override val vClassTag: ClassTag[V])
  extends JavaPairRDD[K, V](rdd) {

  
  @DeveloperApi
  def mapPartitionsWithInputSplit[R](
      f: JFunction2[InputSplit, java.util.Iterator[(K, V)], java.util.Iterator[R]],
      preservesPartitioning: Boolean = false): JavaRDD[R] = {
    new JavaRDD(rdd.mapPartitionsWithInputSplit((a, b) => f.call(a, b.asJava).asScala,
      preservesPartitioning)(fakeClassTag))(fakeClassTag)
  }
}