![]() Using the CData ODBC Drivers on a UNIX/Linux Machine This article shows how to use the pyodbc built-in functions to connect to SQL Server data, execute queries, and output the results. With the CData Linux/UNIX ODBC Driver for SQL Server and the pyodbc module, you can easily build SQL Server-connected Python applications. Specify the JDBC_URL in the application filter.The rich ecosystem of Python modules lets you get to work quicker and integrate your systems more effectively. Jdbc:sqlserver://server:port DatabaseName=dbname Specify the JDBC_URL in the Data Source application filter. Specify the location of the mssql-jdbc-6.4.0.jre8.jar in the EPM Integration Agent by setting the CUSTOM_CLASS_PATH parameter in the agentparams.ini file.įor example, specify: CUSTOM_CLASS_PATH=C:\EPMAgent\lib\mssql-jdbc-6.4.0.jre8.jarįor more information about setting parameters in the agentparams.ini file, see Configuring the EPM Integration Agent Startup Parameters. The driver must be a JRE8 compatible driver.Ĭopy the jar file mssql-jdbc-6.4.0.jre8.jar to the EPM_AGENT_HOME/lib directory.įor example, copy the jar file to the C:\EPMAgent\lib directory. To configure the Microsoft JDBC Driver for SQL Server:ĭownload the SQL server jar from the following website and unzip it: Download Microsoft JDBC Driver for SQL Server If you plan to use the Microsoft Java Database Connectivity (JDBC) driver to connect to the SQL Server in the EPM Integration Agent, this section describes how to download and configure the driver.
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