Spark preprocessor now works with s3 #118
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shivaram
reviewed
Oct 7, 2022
| super().__init__() | ||
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| self.spark = spark | ||
| self.output_dir = output_dir | ||
| self.output_to_s3 = output_to_s3 | ||
| if self.output_to_s3: | ||
| self.s3_bucket = os.getenv("S3_BUCKET") |
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Can we write a readme document or have some documentation that lists all the env variables that a user is required to set
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sure, will check in a README too.
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expects env variables
S3_BUCKET,AWS_ACCESS_KEY_IDandAWS_SECRET_ACCESS_KEY.writes preprocessed output to the local directory as well as s3, can delete the files from local, but keeping them for now.