我有一个带有(key,list [word1,word2,word3])的RDD,我希望将其转换为(key,word1),(key,word2)...(key,word-n),can有人指出我正确的方向如何解决这个问题?
答案 0 :(得分:1)
使用列表理解:
key, list_ = ('key', ['word1', 'word2', 'word3'])
result = [(key, item) for item in list_]
print(result)
输出:
[('key', 'word1'), ('key', 'word2'), ('key', 'word3')]
您可以使用flatMap()
rdd
myrdd = sc.parallelize([('key', ['word1', 'word2', 'word3'])])
myrdd.flatMap(lambda row: [(row[0], item) for item in row[1]]).collect()
#[('key', 'word1'), ('key', 'word2'), ('key', 'word3')]
答案 1 :(得分:0)
使用列表推导,迭代元组并将第一个元素与第二个元素中的每个项相关联:
>>> tupl = ('key', ['word1', 'word2', 'word3'])
>>> [(tupl[0], tupl[1][i]) for i in range(len(tupl[1]))]
[('key', 'word1'), ('key', 'word2'), ('key', 'word3')]
您可以使用flatMap()
rdd
myrdd = sc.parallelize([('key', ['word1', 'word2', 'word3'])])
myrdd.flatMap(lambda tupl: [(tupl[0], tupl[1][i]) for i in range(len(tupl[1]))]).collect()
#[('key', 'word1'), ('key', 'word2'), ('key', 'word3')]