/Python/Sorts this RDD, which is assumed to consist of (key, value) pairs

Sorts this RDD, which is assumed to consist of (key, value) pairs

# sortByKey(ascending=True, numPartitions=None, keyfunc= <function <lambda> at 0x7fc35dbcf848>)
tmp = [('a', 1), ('b', 2), ('1', 3), ('d', 4), ('2', 5)]
sc.parallelize(tmp).sortByKey().first()
# ('1', 3)
sc.parallelize(tmp).sortByKey(True, 1).collect()
# [('1', 3), ('2', 5), ('a', 1), ('b', 2), ('d', 4)]
sc.parallelize(tmp).sortByKey(True, 2).collect()
# [('1', 3), ('2', 5), ('a', 1), ('b', 2), ('d', 4)]
tmp2 = [('Mary', 1), ('had', 2), ('a', 3), ('little', 4), ('lamb', 5)]
tmp2.extend([('whose', 6), ('fleece', 7), ('was', 8), ('white', 9)])
sc.parallelize(tmp2).sortByKey(True, 3, keyfunc=lambda k: k.lower()).collect()
# [('a', 3), ('fleece', 7), ('had', 2), ('lamb', 5),...('white', 9)]

Source: spark.apache.org

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