iframe-proxy | Sunbelt Computer Software

This repository was archived by the owner on Jan 31, 2025. It is now read-only.

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from pyspark import SparkConf
from collections import namedtuple
from pyspark.sql import SparkSession
from lib.logger import Log4j
SurveyRecord = namedtuple("SurveyRecord", ["Age", "Gender", "Country", "State"])
if __name__ == "__main__":
    conf = SparkConf() \
        .setMaster("local[3]") \
        .setAppName("HelloRDD")
    # sc = SparkContext(conf=conf)
    spark = SparkSession.builder.config(conf=conf).getOrCreate()
    sc = spark.sparkContext
    logger = Log4j(spark)
    if len(sys.argv) != 2:
        logger.error("Usage: HelloSpark <filename>")
        sys.exit(-1)
    linesRDD = sc.textFile(sys.argv[1])
    partitionedRDD = linesRDD.repartition(2)
    colsRDD = partitionedRDD.map(lambda line: line.replace('"', '').split(","))
    selectRDD = colsRDD.map(lambda cols: SurveyRecord(int(cols[1]), cols[2], cols[3], cols[4]))
    filteredRDD = selectRDD.filter(lambda r: r.Age < 40)
    kvRDD = filteredRDD.map(lambda r: (r.Country, 1))
    countRDD = kvRDD.reduceByKey(lambda v1, v2: v1 + v2)
    colsList = countRDD.collect()
    for x in colsList:
        logger.info(x)

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