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# ask-ai
m

Mikael Frosthage

02/07/2024, 3:27 PM
I'm saving a csv file to my s3 bucket using S3PickleIOManager. It appears as if the content is not saved as a regular csv utf8 string.
s

Scout

02/07/2024, 3:27 PM
Based on the documentation, the
S3PickleIOManager
is designed to manage the output of operations by pickling Python objects and saving them to S3. Pickling is a way to serialize Python objects, which means that the data is not stored in plain text (like a UTF-8 encoded CSV file) but in a binary format that can be deserialized (unpickled) back into a Python object later. If you want to save data as a regular CSV file with UTF-8 encoding to S3, you would need to use a different approach. You could create a custom IO manager that writes the data to S3 as a CSV file, or you could use an existing IO manager that supports writing files in the desired format. The documentation does not provide a direct example of an IO manager for writing CSV files to S3, but you could potentially adapt the existing
S3PickleIOManager
by overriding the
handle_output
method to write CSV data instead of pickled data. Alternatively, you could look for community-contributed IO managers or examples that handle CSV files specifically. For saving CSV files, you would typically want to use Python's built-in
csv
module or
pandas
DataFrame's
to_csv
method to write the CSV data, and then use the
boto3
library (which is the AWS SDK for Python) to upload the file to S3 with the correct content type and encoding. Remember that when you save a file to S3, you can also set the
ContentType
metadata to indicate that the file is a CSV with UTF-8 encoding. This can be done by setting the
ContentType
to
text/csv; charset=utf-8
when uploading the file using
boto3
. If you need further assistance with creating a custom IO manager or adapting an existing one to handle CSV files, you may want to refer to the Dagster community or documentation for more specific guidance or examples.
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