function to clean text data in spark rdd

#Function to clean text data in spark rdd how to

1.7 Reading all text files separately and union to create a Single RDD I will leave it to you to research and come up with an example. TextFile() and wholeTextFile() returns an error when it finds a nested folder hence, first using scala, Java, Python languages create a file path list by traversing all nested folders and pass all file names with comma separator in order to create a single RDD. #read all text files from a directory to single RDDġ.6 Reading text files from nested directories into Single RDD Println('#read all text files from a directory to single RDD') It also supports reading files and multiple directories combination. #read text files base on wildcard characterġ.5 Read files from multiple directories into single RDD Val rdd3 = ('src/main/resources/csv/text*.txt') Println('#read text files base on wildcard character') For example below snippet read all files start with text and with the extension “.txt” and creates single RDD. TextFile() and wholeTextFiles() methods also accepts pattern matching and wild characters. This read file text01.txt & text02.txt files.ġ.4 Read all text files matching a pattern Val rdd4 = ('src/main/resources/csv/text01.txt,' + Println('#read multiple text files into a RDD') When you know the names of the multiple files you would like to read, just input all file names with comma separator and just a folder if you want to read all files from a folder in order to create an RDD and both methods mentioned above supports this. txt files, for example, sparkContext.textFile() and sparkContext.wholeTextFiles() methods to read into RDD and () and () methods to read into DataFrame from local or HDFS file.Ĭlass .MapPartitionsRDDįile:/C:/apps/sparkbyexamples/src/spark-scala-examples-new/src/main/resources/csv/text01.txt=>One,1

#Function to clean text data in spark rdd how to

In this Spark tutorial, you will learn how to read a text file from local & Hadoop HDFS into RDD and DataFrame using Scala examples. 2.2 textFile() – Read text file into Dataset.2.1 text() – Read text file into DataFrame.Spark read text file into DataFrame and Dataset 1.7 Reading all text files separately and union to create a Single RDD.1.6 Reading text files from nested directories into Single RDD.1.5 Read files from multiple directories into single RDD.1.4 Read all text files matching a pattern.1.2 wholeTextFiles() – Read text files into RDD of Tuple.1.1 textFile() – Read text file into RDD.