Connecting to IBM AS400 server for database operations hangs
The way to find out what port is needed is to look at the service table entries on the IBM i.
Your IBM i guy can use the iNav GUI or the green screen Work with Service Table Entry (WRKSRVTBLE) command
Should get a screen like so:
Service Port Protocol
as-admin-http 2001 tcp
as-admin-http 2001 udp
as-admin-https 2010 tcp
as-admin-https 2010 udp
as-central 8470 tcp
as-central-s 9470 tcp
as-database 8471 tcp
as-database-s 9471 tcp
drda 446 tcp
drda 446 udp
The default port for the DB is indeed 8471. Though drda is used for "distributed db" operations.
Based upon this thread, to use ibm_db to connect to DB2 on an IBM i, you need the IBM Connect product; which is a commercial package that has to be paid for.
This thread suggests using ODBC via the pyodbc module. It also suggests that JDBC via the JT400 toolkit may also work.
The README for ibm_db_sa
only lists DB2 for Linux/Unix/Windows in the "Supported Database" section. So it most likely doesn't work for DB2 for i, at least not right out of the box.
Since you've stated you have IBM System i Access for Windows, I strongly recommend just using one of the drivers that comes with it (ODBC, OLEDB, or ADO.NET, as @Charles mentioned).
Personally, I always use ODBC, with either pyodbc
or pypyodbc
. Either one works fine. A simple example:
import pyodbc
connection = pyodbc.connect(
driver='{iSeries Access ODBC Driver}',
system='11.22.33.44',
uid='username',
pwd='password')
c1 = connection.cursor()
c1.execute('select * from qsys2.sysschemas')
for row in c1:
print row
Now, one of SQLAlchemy's connection methods is pyodbc
, so I would think that if you can establish a connection using pyodbc
directly, you can somehow configure SQLAlchemy to do the same. But I'm not an SQLAlchemy user myself, so I don't have example code for that.
UPDATE
I managed to get SQLAlchemy to connect to our IBM i and execute straight SQL queries. In other words, to get it to about the same functionality as simply using PyODBC directly. I haven't tested any other SQLAlchemy features. What I did to set up the connection on my Windows 7 machine:
Install
ibm_db_sa
as an SQLAlchemy dialect
You may be able to usepip
for this, but I did it the low-tech way:- Download
ibm_db_sa
from PyPI.
As of this writing, the latest version is 0.3.2, uploaded on 2014-10-20. It's conceivable that later versions will either be fixed or broken in different ways (so in the future, the modifications I'm about to describe might be unnecessary, or they might not work). - Unpack the archive (
ibm_db_sa-0.3.2.tar.gz
) and copy the enclosedibm_db_sa
directory into thesqlalchemy\dialects
directory.
- Download
Modify
sqlalchemy\dialects\ibm_db_sa\pyodbc.py
- Add the
initialize()
method to theAS400Dialect_pyodbc
class
The point of this is to override the method of the same name inDB2Dialect
, whichAS400Dialect_pyodbc
inherits from. The problem is thatDB2Dialect.initialize()
tries to set attributesdbms_ver
anddbms_name
, neither of which is available or relevant when connecting to IBM i using PyODBC (as far as I can tell). - Add the module-level name
dialect
and set it to theAS400Dialect_pyodbc
class
- Add the
Code for the above modifications should go at the end of the file, and look like this:
def initialize(self, connection):
super(DB2Dialect, self).initialize(connection)
dialect = AS400Dialect_pyodbc
Note the indentation! Remember, the initialize()
method needs to belong to the AS400Dialect_pyodbc
class, and dialect
needs to be global to the module.
Finally, you need to give the engine creator the right URL:
'ibm_db_sa+pyodbc://username:password@host/*local'
(Obviously, substitute valid values for username
, password
, and host
.)
That's it. At this point, you should be able to create the engine, connect to the i, and execute plain SQL through SQLAlchemy. I would think a lot of the ORM stuff should also work at this point, but I have not verified this.