Spark学习 day6 - 呓语

对数据进行分析

1、正常的单词进行单词计数
2、特殊字符统计出现多少个

from pyspark import SparkConf, SparkContext
from pyspark.storagelevel import StorageLevel
from defs import context_jieba
from defs import context_jieba, filter_words, append_words, extract_user_and_word
from operator import add
import reif __name__ == '__main__':conf = SparkConf().setAppName("test").setMaster("local[*]")sc = SparkContext(conf=conf)file_rdd = sc.textFile("../../data/input/accumulator_broadcast_data.txt")abnormal_char = [",", ".", "!", "#", "$", "%"]broadcast = sc.broadcast(abnormal_char)acmlt = sc.accumulator(0)lines_rdd = file_rdd.filter(lambda line: line.strip())data_rdd = lines_rdd.map(lambda line: line.strip())#通过空格切分words_rdd = data_rdd.flatMap(lambda line: re.split("\s+", line))def filter_func(data):global acmltabnormal_chars = broadcast.valueif data in abnormal_chars:acmlt += 1return Falseelse:return Truenormal_words_rdd = words_rdd.filter(filter_func)result_rdd = normal_words_rdd.map(lambda x: (x, 1)).\reduceByKey(lambda a, b: a + b)print("正常单词计数结果：", result_rdd.collect())print("特殊字符数量：", acmlt)