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Spark reduceByKey算子学习使用详解

作者:高景洋　日期:2020-10-25 10:50:56　浏览次数:2388

reduceByKey:

按key 分组，并进行计算

示例代码：

统计RDD中，每个单词出现的次数：

def my_reduceByKey():
    data = ['hello spark', 'hello world', 'hello world']
    rdd = sc.parallelize(data)
    map_rdd = rdd.flatMap(lambda line: line.split(' ')).map(lambda x: (x, 1))
    reduce_by_key = map_rdd.reduceByKey(lambda a,b:a+b)

 print(reduce_by_key.collect())

输出结果：

[('hello', 3), ('spark', 1), ('world', 2)]

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