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- #
- # Copyright 2019 The FATE Authors. All Rights Reserved.
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- #
- from pyspark import SparkContext
- sc = SparkContext('local', 'test')
- a = []
- for i in range(10):
- a.append((i, str(i)))
- rdd1 = sc.parallelize(a)
- rdd2 = rdd1.mapValues(f=lambda x: x + "1")
- for k, v in rdd2.collect():
- print(f"{type(k)}: {k} {type(v)} {v}")
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