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Issue #102

1 - Support for empty dataframe for Pandas.read_sql_athena(ctas_approach=True)
2 - Cleaning temp S3 files for Pandas.read_sql_athena(ctas_approach=True)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

@igorborgest igorborgest added bug Something isn't working enhancement New feature or request labels Jan 8, 2020
@igorborgest igorborgest requested a review from a team January 8, 2020 12:02
@igorborgest igorborgest self-assigned this Jan 8, 2020
@igorborgest igorborgest merged commit 1de6510 into master Jan 8, 2020
@igorborgest igorborgest deleted the athena branch January 8, 2020 12:07
@danielgoldszmit
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Hi Igor wouldn't be more clear to have another methond like:
Pandas.ctas_sql_athena
Instead of Pandas.read_sql_athena(ctas_approach=True)

@igorborgest
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@danielgoldszmit really make sense split it in two methods.

I'm not sure about the name Pandas.ctas_sql_athena because it will suggest a method to execute CTAS in fact and not only use the CTAS as a strategy to fetch the data faster...

But I have no better suggestions for now. Let me think more about that.

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