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HULFT Integrate is a modern data integration platform that provides a drag-and-drop user interface to create cooperation flows, data conversion, and processing so that complex data connections are easier than ever to execute. When paired with the CData JDBC-ODBC Bridge Driver, HULFT Integrate can work with live JDBC-ODBC Bridge data. This article explains how to connect to JDBC-ODBC Bridge and move the data into a CSV file.
With built-in optimized data processing, the CData JDBC driver offers unmatched performance for interacting with live JDBC-ODBC Bridge data. When you issue complex SQL queries to JDBC-ODBC Bridge, the driver pushes supported SQL operations, like filters and aggregations, directly to JDBC-ODBC Bridge and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze JDBC-ODBC Bridge data using native data types.
To enable access to JDBC-ODBC Bridge data from HULFT Integrate projects:
Once you copy the JAR files, you can create a project with access to JDBC-ODBC Bridge data. Start by opening Integrate Studio and creating a new project.
Once you create the project, add components to the script to copy JDBC-ODBC Bridge data to a CSV file.
Drag an "Execute Select SQL" component from the Tool Palette (Database -> JDBC) into the Script workspace.
For assistance constructing the JDBC URL, use the connection string designer built into the JDBC-ODBC Bridge JDBC Driver. Either double-click the JAR file or execute the JAR file from the command-line.
java -jar cdata.jdbc.jdbcodbc.jar
Fill in the connection properties and copy the connection string to the clipboard.
To connect to an ODBC data source, specify either the DSN (data source name) or specify an ODBC connection string: Set Driver and the connection properties for your ODBC driver. ๐ Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)SELECT Id, Name FROM Account
Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.
Map each column from the "Select" component to the corresponding column for the "CSV" component.
Drag the "Start" component onto the "Select" component and the "CSV" component onto the "End" component. Build the script and run the script to move JDBC-ODBC Bridge data into a CSV file.
๐ A completed script.Download a free, 30-day trial of the CData JDBC-ODBC Bridge Driver and start working with your live JDBC-ODBC Bridge data in HULFT Integrate. Reach out to our Support Team if you have any questions.
Download a free trial of the JDBC-ODBC Bridge to get started:
Download NowLearn more:
๐ ODBC Connectivity from Java IconThe JDBC-ODBC Bridge provides JDBC access from any Java App to ODBC data sources on Windows, Linux and Mac. Whether your organization uses Java-based tools for reporting and analytics, or builds custom Java solutions, the CData JDBC-ODBC Bridge provides an easy way to connect with any ODBC data source.