Output 4JJavaError: An error occurred while calling o44.saveAsTextFile. If you try to run the application again, you may get an error in the console output as shown below. If the application runs without any error, an output folder should be created at the output path specified D:/workspace/spark/output/. WordCounts.saveAsTextFile("D:/workspace/spark/output/") WordCounts = words.map(lambda word: (word, 1)).reduceByKey(lambda a,b:a +b)
Words = sc.textFile("D:/workspace/spark/input.txt").flatMap(lambda line: line.split(" ")) # read data from text file and split each line into words Sc = SparkContext("local","PySpark Word Count Exmaple") # create Spark context with necessary configuration Of course, we will learn the Map-Reduce, the basic step to learn big data.įrom pyspark import SparkContext, SparkConf In this PySpark Word Count Example, we will learn how to count the occurrences of unique words in a text line. What have we done in PySpark Word Count?.Analyse the Input and Output of PySpark Word Count.
0 kommentar(er)
