Comments (3)
If you put another file type (e.g. parquet) in the same blob store, are you able to read it with that config set?
Yes I am. So it turns out the credentials needed to be set differently for the SAS reader since it's using the Spark Context as opposed to the Spark Session variable.
I was able to set the credentials using: sc._jsc.hadoopConfiguration().set("fs.azure.account.key.{}.blob.core.windows.net".format(account_name), account_key)
I imagine the same would work from an S3 path.
So I guess this can be marked as resolved. It would be great to add this tidbit of information regarding the credentials to the README docs.
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If you put another file type (e.g. parquet) in the same blob store, are you able to read it with that config set?
from spark-sas7bdat.
Hi,
I'm facing the same issue.
The command "sc._jsc.hadoopConfiguration().set("fs.azure.account.key.{}.blob.core.windows.net".format(account_name), account_key)" can resolve this issue but this implies storing credential on cluster and not only for spark session.
There is a workaround byusing following command ?
spark.conf.set( "fs.azure.account.key.{}.blob.core.windows.net".format(account_name), account_key )
Thank you
from spark-sas7bdat.
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