Bug #95568 Memory consumption rapidly increases when using a cursor when it should be level

Description:
I am checking nearly 70 million rows (timeseries data). I'm only fetching a single row at a time, memory usage should be at a constant. However, it very quickly increases until it takes over 8GB of memory. 

This is not present in version 8.0.11 using identical code.

How to repeat:
for timestamp,value in cursor:
    #My code here is irrelevant as it's not the issue, it works fine in 8.0.11
    pass

Suggested fix:
I have managed to stop the memory from increasing by the following:

cursor = cnx.cursor(buffered=False, raw=True)

and then raw decoding:

timestamp = float(row[0].decode('utf-8'))
value = float(row[1].decode('utf-8'))

Unfortunately, I don't know which change made a difference as I did both at the same time. My understanding was/is that buffered defaults to False, so likely something to do with the raw?

Hello Andrew,

Thank you for the report and feedback.
Could you please provide exact repeatable test case( create table statement, python script, optionally details such MySQL Server version, instance is local or remote etc) to reproduce this issue at our end? Thank you. 

regards,
Umesh

No feedback was provided for this bug for over a month, so it is
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