Coder Social home page Coder Social logo

python-ibmdb's Introduction

Python support for IBM DB2 and IBM Informix

Build Status

Python, DB-API components for IBM DB2 and Informix

Provides Python interface for connecting to IBM DB2 and Informix

Table of contents

Components

Pre-requisites

Installation

Quick Example

API Documentation

Downloads

Latest Updates

Support & Feedback

Contributing to the ibm_db python project

Components

  1. The ibm_db contains:
    • ibm_db driver: Python driver for IBM DB2 and IBM Informix databases. Uses the IBM Data Server Driver for ODBC and CLI APIs to connect to IBM DB2 and Informix.
    • ibm_db_dbi: Python driver for IBM DB2 and IBM Informix databases that complies to the DB-API 2.0 specification. Checkout the README for getting started with ibm_db and ibm_db_dbi

Pre-requisites

Install Python 2.7 or newer versions except python 3.3. Python ibm_db driver does not include support python 3.3 as it has reached end-of-life. You might need zlib, openssl, pip installations if not already available in your setup.

  • Linux/Unix: If you face problems due to missing python header files while installing the driver, you would need to install python developer package and retry install. e.g:
    zypper install python-devel
     or
    yum install python-devel
  • For installing ibm_db on Docker Linux container, you may need to install gcc, python, pip, python-devel and pam if not already installed. Refer to Installation for more details.

Installation

  • MAC OS: You can install the driver using pip as:
pip install --no-cache-dir ibm_db
  • All other platforms: You can install the driver using pip as:
pip install ibm_db

This will install ibm_db and ibm_db_dbi module.

  • For installing ibm_db on docker Linux container, you can refer as below:
yum install python gcc pam wget python-devel.x86_64
use, `yum install python3` to install python 3.x

if pip or pip3 does not exist, install it as:
wget https://bootstrap.pypa.io/get-pip.py
docker cp get-pip.py /root:<containerid>
cd root
python get-pip.py

Install python ibm_db as:
pip install ibm_db 
or
pip3 install ibm_db

  • Uninstalling the ibm_db driver :
pip uninstall ibm_db

The ODBC and CLI Driver(clidriver) is automatically downloaded at the time of installation and it is recommended to use this driver. However, if you wish to use an existing installation of clidriver or install the clidriver manually and use it, you can set IBM_DB_HOME environment variable. For more information on how to set this variable, refer Environment Variables section.

  • Environment Variables: IBM_DB_HOME :

    Set this environment variable to avoid automatic downloading of the clidriver during installation. You could set this to the installation path of ODBC and CLI driver in your environment. e.g:

    Windows :
    set IBM_DB_HOME=c:/Users/skauser/clidriver
    
    Other platforms:
    export IBM_DB_HOME=/home/skauser/clidriver
    

    You are required to set the library path to the clidriver under IBM_DB_HOME to pick this version of the ODBC and CLI Driver. e.g:

    Windows:
    set LIB = %IBM_DB_HOME%/lib;%LIB%
    
    AIX:
    export LIBPATH = $IBM_DB_HOME/lib:$LIBPATH
    
    MAC:
    export DYLD_LIBRARY_PATH = $IBM_DB_HOME/lib:$DYLD_LIBRARY_PATH
    
    Other platforms:
    export LD_LIBRARY_PATH = $IBM_DB_HOME/lib:$LD_LIBRARY_PATH
    

    The ODBC and CLI driver is available for download at Db2 LUW ODBC and CLI Driver. Refer to (License requirements) for more details on the CLI driver for manual download and installation.

Quick Example

$ python
Python 3.6.5 (default, May 10 2018, 00:54:55)
[GCC 4.3.4 [gcc-4_3-branch revision 152973]] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import ibm_db
>>> #For connecting to local database named pydev for user db2inst1 and password secret, use below example
>>> #ibm_db_conn = ibm_db.connect('pydev', 'db2inst1', 'secret')
>>> #For connecting to remote database named pydev for uid db2inst and pwd secret on host host.test.com, use below example
>>> # Connect using ibm_db
>>> conn_str='database=pydev;hostname=host.test.com;port=portno;protocol=tcpip;uid=db2inst1;pwd=secret'
>>> ibm_db_conn = ibm_db.connect(conn_str,'','')
>>>
>>> # Connect using ibm_db_dbi
>>> import ibm_db_dbi
>>> conn = ibm_db_dbi.Connection(ibm_db_conn)
>>> # Execute tables API
>>> conn.tables('DB2ADMIN', '%')
[{'TABLE_CAT': None, 'TABLE_SCHEM': 'DB2ADMIN', 'TABLE_NAME': 'MYTABLE', 'TABLE_TYPE': 'TABLE', 'REMARKS': None}]
>>>
>>> # create table using ibm_db
>>> create="create table mytable(id int, name varchar(50))"
>>> ibm_db.exec_immediate(ibm_db_conn, create)
<ibm_db.IBM_DBStatement object at 0x7fcc5f44f650>
>>>
>>> # Insert 3 rows into the table
>>> insert = "insert into mytable values(?,?)"
>>> params=((1,'Sanders'),(2,'Pernal'),(3,'OBrien'))
>>> stmt_insert = ibm_db.prepare(ibm_db_conn, insert)
>>> ibm_db.execute_many(stmt_insert,params)
3
>>> # Fetch data using ibm_db_dbi
>>> select="select id, name from mytable"
>>> cur = conn.cursor()
>>> cur.execute(select)
True
>>> row=cur.fetchall()
>>> print("{} \t {} \t {}".format(row[0],row[1],row[2]),end="\n")
(1, 'Sanders')   (2, 'Pernal')   (3, 'OBrien')
>>> row=cur.fetchall()
>>> print(row)
[]
>>>
>>> # Fetch data using ibm_db
>>> stmt_select = ibm_db.exec_immediate(ibm_db_conn, select)
>>> cols = ibm_db.fetch_tuple( stmt_select )
>>> print("%s, %s" % (cols[0], cols[1]))
1, Sanders
>>> cols = ibm_db.fetch_tuple( stmt_select )
>>> print("%s, %s" % (cols[0], cols[1]))
2, Pernal
>>> cols = ibm_db.fetch_tuple( stmt_select )
>>> print("%s, %s" % (cols[0], cols[1]))
3, OBrien
>>> cols = ibm_db.fetch_tuple( stmt_select )
>>> print(cols)
False
>>>
>>> # Close connections
>>> cur.close()
True
>>> ibm_db.close(ibm_db_conn)
True

More examples can be found under 'tests' folder.

API Documentation has examples for each API.

Jupyter Notebook examples can be found here -> Other Examples

API Documentation

For more information on the APIs supported by ibm_db, please refer to below link:

https://github.com/ibmdb/python-ibmdb/wiki/APIs

License requirements for connecting to databases

Python ibm_db driver can connect to DB2 on Linux Unix and Windows without any additional license/s, however, connecting to databases on DB2 for z/OS or DB2 for i(AS400) Servers require either client side or server side license/s. The client side license would need to be copied under license folder of your cidriver installation directory and for activating server side license, you would need to purchase DB2 Connect Unlimited for System z® and DB2 Connect Unlimited Edition for System i®.

To know more about license and purchasing cost, please contact IBM Customer Support.

To know more about server based licensing viz db2connectactivate, follow below links:

If you intend to install the clidriver manually, Following are the details of the client driver versions that you can download from CLIDRIVER to be able to connect to databases on non-LUW servers. You would need the client side license file as per Version for corresponding installation.:

CLIDriver and Client license versions for Specific Platform and Architecture

Platform Architecture Cli Driver Supported Version
AIX ppc aix32_odbc_cli.tar.gz Yes V11.1
others aix64_odbc_cli.tar.gz Yes V11.1
Darwin x64 macos64_odbc_cli.tar.gz Yes V10.5
Linux x64 linuxx64_odbc_cli.tar.gz Yes V11.1
s390x s390x64_odbc_cli.tar.gz Yes V11.1
s390 s390_odbc_cli.tar.gz Yes V11.1
ppc64 (LE) ppc64le_odbc_cli.tar.gz Yes V11.1
ppc64 ppc64_odbc_cli.tar.gz Yes V10.5
ppc32 ppc32_odbc_cli.tar.gz Yes V10.5
others linuxia32_odbc_cli.tar.gz Yes V11.1
Windows x64 ntx64_odbc_cli.zip Yes V11.1
x32 nt32_odbc_cli.zip Deprecated NA
Sun i86pc sunamd64_odbc_cli.tar.gz Yes V10.5
sunamd32_odbc_cli.tar.gz Yes V10.5
sparc sun64_odbc_cli.tar.gz Yes V11.1
sparc sun32_odbc_cli.tar.gz Yes V11.1

You can refer to ODBC and CLI Driver installation for details on how to install the driver manually.

Downloads

Use following pypi web location for downloading source code and binaries ibm_db: https://pypi.python.org/pypi/ibm_db . You can also get the source code by cloning the ibm_db github repository as :

git clone [email protected]:ibmdb/python-ibmdb.git

Latest Updates

Updated ibm_db

Mar 14th 2019: A new release 3.0.1 of ibm_db and ibm_db_dbi available.

Support & feedback

Your feedback is very much appreciated and expected through project ibm-db:

Contributing to the ibm_db python project

See CONTRIBUTING

The developer sign-off should include the reference to the DCO in remarks(example below):
DCO 1.1 Signed-off-by: Random J Developer <[email protected]>

python-ibmdb's People

Contributors

abhi7436 avatar aksanand avatar anandakshay44 avatar bimalkjha avatar cclauss avatar data-henrik avatar drpoggi avatar hemlatabhatt avatar ibmamar avatar jezdez avatar jospaul1 avatar kadler avatar mariobriggs avatar mizi avatar rpriyadh avatar rredburn avatar sabakauser avatar tam-lin avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.