As part of an ETL process, I need to generate an SHA1 fingerprint that
uniquely defines a row of data (collisions will have to be handled as
well) for the audit trail.  The data in tables consists of short
strings and floating point values.

What's the best way to get an SHA1 fingerprint of a row that will work
across databases and also work in non-Python programming languages
(Python is used in the ETL process, but the main apps use C++ and
SQL)?    I'm concerned that the floating point numbers are going to
make the SHA1 process unstable.

Also, as a general question, does anybody know of some useful ETL
frameworks that use SQLAlchemy?

Thanks,

Eric
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