Created
January 14, 2020 07:32
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Python multiprocessing with pool
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| # Read CSV file and convert to parquet, upload to S3 | |
| def csv_manipulation(self, merchant: str, directory: str): | |
| temp = [] | |
| schema = pyarrow.schema(self.get_schema()) | |
| p = Pool(processes=self.limit_process) | |
| for f in os.listdir(directory): | |
| filepath = os.path.join(directory, f) | |
| try: | |
| with open(filepath, 'r', encoding='ISO-8859-1') as csvfile: | |
| reader = csv.reader(csvfile) | |
| for row in reader: | |
| if len(temp) < self.chunk_size: | |
| temp.append(self.calculate_stat(row)) | |
| else: | |
| p.apply_async(self.upload, args=(temp, merchant, schema)) | |
| temp = [] | |
| temp.append(self.calculate_stat(row)) | |
| except csv.Error: | |
| # skip error when CSV is empty | |
| pass | |
| if len(temp) > 0: | |
| p.apply_async(self.upload, args=(temp, merchant, schema)) | |
| temp = [] | |
| p.close() | |
| p.join() | |
| return |
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