Showing results for 
Search instead for 
Did you mean: 
Data Engineering
Showing results for 
Search instead for 
Did you mean: 

REDACTED_POSSIBLE_SECRET_ACCESS_KEY as part of column value result form aes_encrypt

New Contributor

Hi, i've encountered an error using base64/aes_encrypt, as result the string saved contains 'REDACTED_POSSIBLE_SECRET_ACCESS_KEY' at the end destroying the original data, rendering it useless undecryptable, is there a way to avoid this replacement in the saved data?

this behaviour occours in special conditions it seems, problem is the redaction is not only in presentation layer but the data beneath... whenever this query is writen, the data renders the REDACTED string

Captura de pantalla 2023-12-11 152523.png

i guess the problem is related to:

but it should not destroy the data. (string replaced contains 40 characters, tried appending a letter at the end to retrieve the correct encrypted value)





once the query is saved as table it can not be decrypted any more 




New Contributor II

I had the same issue, and my usage was similar to OP:

base64(aes_encrypt(<clear_text>, unbase64(secret(<scope>, <key>))))

Databricks support suggested to not call secret within the insert/update operation that writes to the table. After updating the python code to first fetch the encryption key from secret, then executing aes_encrypt using expr, the redaction and data corruption went away.

This article gives the overall approach I followed, using a mix of pyspark and sql. Just remember to first retrieve the encryption key, then construct the aes_encrypt call with the key, rather than calling secret from within aes_encrypt.

Hope this helps!

Welcome to Databricks Community: Lets learn, network and celebrate together

Join our fast-growing data practitioner and expert community of 80K+ members, ready to discover, help and collaborate together while making meaningful connections. 

Click here to register and join today! 

Engage in exciting technical discussions, join a group with your peers and meet our Featured Members.