“Invalid parameter type” (numpy.int64) when inserting rows with executemany()

Question

I try to insert bunch of data to database

insert_list = [(1,1,1,1,1,1),(2,2,2,2,2,2),(3,3,3,3,3,3),....] #up to 10000 tuples in this list

conn = pyodbc.conn         


        

Answer 1

Your problem is not with the volume of data per se, it is that some of your tuples contain numpy.int64 values that cannot be used directly as parameter values for your SQL statement. For example,

a = numpy.array([10, 11, 12], dtype=numpy.int64)
params = (1, 1, a[1], 1, 1, 1)
crsr.execute(sql, params)

will throw

ProgrammingError: ('Invalid parameter type. param-index=2 param-type=numpy.int64', 'HY105')

because the third parameter value is a numpy.int64 element from your numpy array a. Converting that value with int() will avoid the issue:

a = numpy.array([10, 11, 12], dtype=numpy.int64)
params = (1, 1, int(a[1]), 1, 1, 1)
crsr.execute(sql, params)

By the way, the reason that

sql = 'SET GLOBAL max_allowed_packet=50*1024*1024'
cursor.execute(sql)

didn't work is that max_allowed_packet is a MySQL setting that does not have any meaning for Microsoft SQL Server.

Answer 2

For anyone out there reading this, it was driving me up the wall.

My eventual solution was to convert all variables to 'str' and it worked fine.