Add column while maintaining correlation of the existing columns in Apache Spark Scala
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
add a comment |
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
Why not use theStopWordsRemover
?
– Shaido
Nov 21 at 1:47
add a comment |
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
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
scala apache-spark apache-spark-sql apache-spark-2.0
edited Nov 21 at 1:47
asked Nov 21 at 1:44
Nick
96110
96110
Why not use theStopWordsRemover
?
– Shaido
Nov 21 at 1:47
add a comment |
Why not use theStopWordsRemover
?
– 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
add a comment |
1 Answer
1
active
oldest
votes
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
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
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
add a comment |
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
add a comment |
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
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
answered Nov 21 at 2:04
y2k-shubham
8441927
8441927
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Why not use the
StopWordsRemover
?– Shaido
Nov 21 at 1:47