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Extract, Transform, and Load SAP Business One DI Data in Python

The CData Python Connector for SAP Business One DI enables you to create ETL applications and pipelines for SAP Business One DI data in Python with petl.

The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively. With the CData Python Connector for SAP Business One DI and the petl framework, you can build SAP Business One DI-connected applications and pipelines for extracting, transforming, and loading SAP Business One DI data. This article shows how to connect to SAP Business One DI with the CData Python Connector and use petl and pandas to extract, transform, and load SAP Business One DI data.

With built-in, optimized data processing, the CData Python Connector offers unmatched performance for interacting with live SAP Business One DI data in Python. When you issue complex SQL queries from SAP Business One DI, the driver pushes supported SQL operations, like filters and aggregations, directly to SAP Business One DI and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Connecting to SAP Business One DI Data

Connecting to SAP Business One DI data looks just like connecting to any relational data source. Create a connection string using the required connection properties. For this article, you will pass the connection string as a parameter to the create_engine function.

To connect to SAP Business One DI data, specify the following connection properties:

  • DBServerType: The type of server being connected to.
  • Server: The name or IP address of the Business One DI server to connect to.
  • CompanyDB: The company to connect to.
  • User: The username used when connecting to the LicenseServer.
  • Password: The password used when connecting to the LicenseServer.
  • LicenseServer (optional): Set this if your License Server is different from the Server.
  • UseTrusted (optional): Set to TRUE to connect using Windows credentials.

After installing the CData SAP Business One DI Connector, follow the procedure below to install the other required modules and start accessing SAP Business One DI through Python objects.

Install Required Modules

Use the pip utility to install the required modules and frameworks:

pip install petl
pip install pandas

Build an ETL App for SAP Business One DI Data in Python

Once the required modules and frameworks are installed, we are ready to build our ETL app. Code snippets follow, but the full source code is available at the end of the article.

First, be sure to import the modules (including the CData Connector) with the following:

import petl as etl
import pandas as pd
import cdata.sapbusinessonedi as mod

You can now connect with a connection string. Use the connect function for the CData SAP Business One DI Connector to create a connection for working with SAP Business One DI data.

cnxn = mod.connect("Server=ServerName;DBServerType=MSSQL_2016;CompanyDB=SBODemoCA;User=manager;Password=manager;")

Create a SQL Statement to Query SAP Business One DI

Use SQL to create a statement for querying SAP Business One DI. In this article, we read data from the OACT entity.

sql = "SELECT AcctCode, AcctName FROM OACT WHERE AcctName = 'account_name'"

Extract, Transform, and Load the SAP Business One DI Data

With the query results stored in a DataFrame, we can use petl to extract, transform, and load the SAP Business One DI data. In this example, we extract SAP Business One DI data, sort the data by the AcctName column, and load the data into a CSV file.

Loading SAP Business One DI Data into a CSV File

table1 = etl.fromdb(cnxn,sql)

table2 = etl.sort(table1,'AcctName')

etl.tocsv(table2,'oact_data.csv')

With the CData Python Connector for SAP Business One DI, you can work with SAP Business One DI data just like you would with any database, including direct access to data in ETL packages like petl.

Free Trial & More Information

Download a free, 30-day trial of the SAP Business One DI Python Connector to start building Python apps and scripts with connectivity to SAP Business One DI data. Reach out to our Support Team if you have any questions.



Full Source Code


import petl as etl
import pandas as pd
import cdata.sapbusinessonedi as mod

cnxn = mod.connect("Server=ServerName;DBServerType=MSSQL_2016;CompanyDB=SBODemoCA;User=manager;Password=manager;")

sql = "SELECT AcctCode, AcctName FROM OACT WHERE AcctName = 'account_name'"

table1 = etl.fromdb(cnxn,sql)

table2 = etl.sort(table1,'AcctName')

etl.tocsv(table2,'oact_data.csv')