I'm trying to process a very large query with pyodbc and I need to iterate over the rows without loading them all at once with fetchall().
Is there a good and principled way to do this?
According to official documentation the cursor is apparently an iterator. Therefore, you shouldn't need to create a custom iterator/generator.
If you are going to process the rows one at a time, you can use the cursor itself as an iterator:
cursor.execute("select user_id, user_name from users"):
for row in cursor:
print(row.user_id, row.user_name)
Sure - use a while
loop with fetchone
.
http://code.google.com/p/pyodbc/wiki/Cursor#fetchone
row = cursor.fetchone()
while row is not None:
# do something
row = cursor.fetchone()
you could also use cursor.fetchmany()
if you want to batch up the fetches (defaults to 1 if you don't override it)
http://code.google.com/p/pyodbc/wiki/Cursor#fetchmany
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