| # |
| # Licensed to the Apache Software Foundation (ASF) under one or more |
| # contributor license agreements. See the NOTICE file distributed with |
| # this work for additional information regarding copyright ownership. |
| # The ASF licenses this file to You 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. |
| # |
| class AmaContext(object): |
| |
| def __init__(self, sc, spark, job_id, env): |
| self.sc = sc |
| self.spark = spark |
| self.job_id = job_id |
| self.env = env |
| |
| def get_dataframe(self, action_name, dataset_name, format = "parquet"): |
| return self.spark.read.format(format).load(str(self.env.working_dir) + "/" + self.job_id + "/" + action_name + "/" + dataset_name) |
| |
| class Environment(object): |
| |
| def __init__(self, name, master, input_root_path, output_root_path, working_dir, configuration): |
| self.name = name |
| self.master = master |
| self.input_root_path = input_root_path |
| self.output_root_path = output_root_path |
| self.working_dir = working_dir |
| self.configuration = configuration |
| |
| data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] |
| rdd = ama_context.sc.parallelize(data) |
| odd = rdd.filter(lambda num: num % 2 != 0) |