Comments (9)
Yes!
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and https://github.com/laughingman7743/PyAthenaJDBC/blob/master/pyathenajdbc/connection.py#L127
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Use the s3_staging_dir
option to connect()
.
https://pypi.org/project/PyAthena/
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Hi @jkleint, sorry for not being more explicit. the s3_staging_dir
option, as far as I know, is for the source of the data to run the query against as configured in the athena/glue table.
What I'm looking for is the location of the output files that athena generates (csv, txt, meta). I want to store them in a bucket other than the data itself.
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@hero0926 here is the documentation from botocore and athena. it seems to have a Resultconfiguration
'ResultConfiguration': {
'OutputLocation': 'string',
'EncryptionConfiguration': {
'EncryptionOption': 'SSE_S3'|'SSE_KMS'|'CSE_KMS',
'KmsKey': 'string'
}
},
It is being used here: https://github.com/laughingman7743/PyAthena/blob/master/pyathena/connection.py#L66
and boto3 has something similar in start_query_execution
:
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/athena.html#Athena.Client.start_query_execution
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https://github.com/laughingman7743/PyAthena/blob/master/pyathena/common.py#L125
This is because the option name in the early release JDBC driver was s3_staging_dir
.
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Thanks @laughingman7743, I get it. So s3_staging_dir
in connect
does NOT mean the root of the data, but rather the output folder for the result files, which will be used in execute
as OutputLocation
is this correct?
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You can also change it when you run the query.
https://github.com/laughingman7743/PyAthena/blob/master/pyathena/cursor.py#L43
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@laughingman7743 would AWS_ATHENA_S3_STAGING_DIR
environment also do it?
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