| # 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. |
| |
| |
| """Minimal example of how to read samples from a dataset generated by `generate_pycarbon_dataset.py` |
| using pyspark""" |
| |
| from __future__ import print_function |
| |
| from pyspark.sql import SparkSession |
| |
| |
| def pyspark_hello_world(dataset_url='file:///tmp/carbon_pycarbon_dataset'): |
| spark = SparkSession \ |
| .builder \ |
| .master('local[1]') \ |
| .getOrCreate() |
| |
| dataset_path = dataset_url[7:] |
| # Create a dataframe object from carbon files |
| spark.sql("create table readcarbon using carbon location '" + str(dataset_path) + "'") |
| dataframe = spark.sql("select * from readcarbon") |
| |
| # Show a schema |
| dataframe.printSchema() |
| |
| # Count all |
| dataframe.count() |
| |
| # Show just some columns |
| dataframe.select('id').show() |
| |
| # This is how you can use a standard SQL to query a dataset. Note that the data is not decoded in this case. |
| number_of_rows = spark.sql( |
| 'SELECT count(id) ' |
| 'from carbon.`{}` '.format(dataset_url)).collect() |
| print('Number of rows in the dataset: {}'.format(number_of_rows[0][0])) |
| |
| |
| if __name__ == '__main__': |
| pyspark_hello_world() |