Add column while maintaining correlation of the existing columns in Apache Spark Scala












0














I have a dataframe with columns review and rating in Spark Scala



val stopWordsList = scala.io.Source.fromFile("stopWords").getLines.toList
val downSampleReviewsDF = sqlContext.sql("SELECT review, rating FROM ds");


I have written a function which will remove stopWords from a given review (String)



def cleanTextFunc(text: String, removeList: List[String]): String = removeList.fold(text) {
case (text, termToRemove) => text.replaceAll("\b" + text + "\b" , "").replaceAll("""[p{Punct}&&[^.]]""", "").replaceAll(" +", " ")


}



How do I add another column "new_review" along with review and rating. The new_review should use cleanTextFunc() to get cleaned data for every row. cleanTextFunc takes two input arguments 1. text to clean 2. List of stop words to be removed from the text



Output should have Text | Rating | New_Text










share|improve this question
























  • Why not use the StopWordsRemover?
    – Shaido
    Nov 21 at 1:47
















0














I have a dataframe with columns review and rating in Spark Scala



val stopWordsList = scala.io.Source.fromFile("stopWords").getLines.toList
val downSampleReviewsDF = sqlContext.sql("SELECT review, rating FROM ds");


I have written a function which will remove stopWords from a given review (String)



def cleanTextFunc(text: String, removeList: List[String]): String = removeList.fold(text) {
case (text, termToRemove) => text.replaceAll("\b" + text + "\b" , "").replaceAll("""[p{Punct}&&[^.]]""", "").replaceAll(" +", " ")


}



How do I add another column "new_review" along with review and rating. The new_review should use cleanTextFunc() to get cleaned data for every row. cleanTextFunc takes two input arguments 1. text to clean 2. List of stop words to be removed from the text



Output should have Text | Rating | New_Text










share|improve this question
























  • Why not use the StopWordsRemover?
    – Shaido
    Nov 21 at 1:47














0












0








0







I have a dataframe with columns review and rating in Spark Scala



val stopWordsList = scala.io.Source.fromFile("stopWords").getLines.toList
val downSampleReviewsDF = sqlContext.sql("SELECT review, rating FROM ds");


I have written a function which will remove stopWords from a given review (String)



def cleanTextFunc(text: String, removeList: List[String]): String = removeList.fold(text) {
case (text, termToRemove) => text.replaceAll("\b" + text + "\b" , "").replaceAll("""[p{Punct}&&[^.]]""", "").replaceAll(" +", " ")


}



How do I add another column "new_review" along with review and rating. The new_review should use cleanTextFunc() to get cleaned data for every row. cleanTextFunc takes two input arguments 1. text to clean 2. List of stop words to be removed from the text



Output should have Text | Rating | New_Text










share|improve this question















I have a dataframe with columns review and rating in Spark Scala



val stopWordsList = scala.io.Source.fromFile("stopWords").getLines.toList
val downSampleReviewsDF = sqlContext.sql("SELECT review, rating FROM ds");


I have written a function which will remove stopWords from a given review (String)



def cleanTextFunc(text: String, removeList: List[String]): String = removeList.fold(text) {
case (text, termToRemove) => text.replaceAll("\b" + text + "\b" , "").replaceAll("""[p{Punct}&&[^.]]""", "").replaceAll(" +", " ")


}



How do I add another column "new_review" along with review and rating. The new_review should use cleanTextFunc() to get cleaned data for every row. cleanTextFunc takes two input arguments 1. text to clean 2. List of stop words to be removed from the text



Output should have Text | Rating | New_Text







scala apache-spark apache-spark-sql apache-spark-2.0






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edited Nov 21 at 1:47

























asked Nov 21 at 1:44









Nick

96110




96110












  • Why not use the StopWordsRemover?
    – Shaido
    Nov 21 at 1:47


















  • Why not use the StopWordsRemover?
    – Shaido
    Nov 21 at 1:47
















Why not use the StopWordsRemover?
– Shaido
Nov 21 at 1:47




Why not use the StopWordsRemover?
– Shaido
Nov 21 at 1:47












1 Answer
1






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oldest

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Just a few more lines



// Curried method to create UDF from removeList
def getStopWordRemoverUdf(removeList: List[String]): UserDefinedFunction = {
udf { (text: String) =>
cleanTextFunc(text, removeList)
}
}

// Create UDF by passing your removeList
val stopWordRemoverUdf: UserDefinedFunction = getStopWordRemoverUdf(removeList)

// Use UDF to create new column
val cleanedDownSampleReviewsDf: DataFrame = downSampleReviewsDF.withColumn("new_review", stopWordRemoverUdf(downSampleReviewsDF("review")))




References




  • Passing extra parameters to UDF in Spark






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    active

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    0














    Just a few more lines



    // Curried method to create UDF from removeList
    def getStopWordRemoverUdf(removeList: List[String]): UserDefinedFunction = {
    udf { (text: String) =>
    cleanTextFunc(text, removeList)
    }
    }

    // Create UDF by passing your removeList
    val stopWordRemoverUdf: UserDefinedFunction = getStopWordRemoverUdf(removeList)

    // Use UDF to create new column
    val cleanedDownSampleReviewsDf: DataFrame = downSampleReviewsDF.withColumn("new_review", stopWordRemoverUdf(downSampleReviewsDF("review")))




    References




    • Passing extra parameters to UDF in Spark






    share|improve this answer


























      0














      Just a few more lines



      // Curried method to create UDF from removeList
      def getStopWordRemoverUdf(removeList: List[String]): UserDefinedFunction = {
      udf { (text: String) =>
      cleanTextFunc(text, removeList)
      }
      }

      // Create UDF by passing your removeList
      val stopWordRemoverUdf: UserDefinedFunction = getStopWordRemoverUdf(removeList)

      // Use UDF to create new column
      val cleanedDownSampleReviewsDf: DataFrame = downSampleReviewsDF.withColumn("new_review", stopWordRemoverUdf(downSampleReviewsDF("review")))




      References




      • Passing extra parameters to UDF in Spark






      share|improve this answer
























        0












        0








        0






        Just a few more lines



        // Curried method to create UDF from removeList
        def getStopWordRemoverUdf(removeList: List[String]): UserDefinedFunction = {
        udf { (text: String) =>
        cleanTextFunc(text, removeList)
        }
        }

        // Create UDF by passing your removeList
        val stopWordRemoverUdf: UserDefinedFunction = getStopWordRemoverUdf(removeList)

        // Use UDF to create new column
        val cleanedDownSampleReviewsDf: DataFrame = downSampleReviewsDF.withColumn("new_review", stopWordRemoverUdf(downSampleReviewsDF("review")))




        References




        • Passing extra parameters to UDF in Spark






        share|improve this answer












        Just a few more lines



        // Curried method to create UDF from removeList
        def getStopWordRemoverUdf(removeList: List[String]): UserDefinedFunction = {
        udf { (text: String) =>
        cleanTextFunc(text, removeList)
        }
        }

        // Create UDF by passing your removeList
        val stopWordRemoverUdf: UserDefinedFunction = getStopWordRemoverUdf(removeList)

        // Use UDF to create new column
        val cleanedDownSampleReviewsDf: DataFrame = downSampleReviewsDF.withColumn("new_review", stopWordRemoverUdf(downSampleReviewsDF("review")))




        References




        • Passing extra parameters to UDF in Spark







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        share|improve this answer










        answered Nov 21 at 2:04









        y2k-shubham

        8441927




        8441927






























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