Connecting to IBM AS400 server for database operations hangs

Question

I\'m trying to talk to an AS400 in Python. The goal is to use SQLAlchemy, but when I couldn\'t get that to work I stepped back to a more basic script using just ibm_db inste

Answer 1

Here is an example to work with as400, sqlalchemy and pandas. This exammple take a bunch of csv files and insert with pandas/sqlalchemy. Only works for windows, on linux the i series odbc driver segfaults (Centos 7 and Debian 9 x68_64)

Client is Windows 10.

My as400 version is 7.3

Python is 2.7.14

installed with pip: pandas, pyodbc, imb_db_sa, sqlalchemy

You need to install i access for windows from ftp://public.dhe.ibm.com/as400/products/clientaccess/win32/v7r1m0/servicepack/si66062/

Aditionally the modifications by @JohnY on pyodbc.py C:\Python27\Lib\site-packages\sqlalchemy\dialects\ibm_db_sa\pyodbc.py Change line 99 to

    pyodbc_driver_name = "IBM i Access ODBC Driver"

The odbc driver changed it's name.

#!/usr/bin/env python
# -*- coding: utf-8 -*-
import pandas as pd
import numpy as np
from sqlalchemy import create_engine
import glob

csvfiles=(glob.glob("c:/Users/nahum/Documents/OUT/*.csv"))
df_csvfiles = pd.DataFrame(csvfiles)
for index, row in df_csvfiles.iterrows():
    datastore2=pd.read_csv(str(row[0]), delimiter=',', header=[0],skipfooter=3)
    engine = create_engine('ibm_db_sa+pyodbc://DB2_USER:PASSWORD@IP_SERVER/*local')
    datastore2.to_sql('table', engine, schema='SCHEMA', chunksize=1000, if_exists='append', index=False)

Hope it helps.