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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 Driver for MongoDB, HULFT Integrate can work with live MongoDB data. This article explains how to connect to MongoDB 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 MongoDB data. When you issue complex SQL queries to MongoDB, the driver pushes supported SQL operations, like filters and aggregations, directly to MongoDB 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 MongoDB data using native data types.
Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:
MongoDB's flexibility means that it can be used as a transactional, operational, or analytical database. That means CData customers use our solutions to integrate their business data with MongoDB or integrate their MongoDB data with their data warehouse (or both). Customers also leverage our live connectivity options to analyze and report on MongoDB directly from their preferred tools, like Power BI and Tableau.
For more details on MongoDB use case and how CData enhances your MongoDB experience, check out our blog post: The Top 10 Real-World MongoDB Use Cases You Should Know in 2024.
To enable access to MongoDB data from HULFT Integrate projects:
Once you copy the JAR files, you can create a project with access to MongoDB data. Start by opening Integrate Studio and creating a new project.
Once you create the project, add components to the script to copy MongoDB 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 MongoDB JDBC Driver. Either double-click the JAR file or execute the JAR file from the command-line.
java -jar cdata.jdbc.mongodb.jar
Fill in the connection properties and copy the connection string to the clipboard.
Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.
๐ Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)SELECT borough, cuisine FROM restaurants
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 MongoDB data into a CSV file.
๐ A completed script.Download a free, 30-day trial of the CData JDBC Driver for MongoDB and start working with your live MongoDB data in HULFT Integrate. Reach out to our Support Team if you have any questions.
Download a free trial of the MongoDB Driver to get started:
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๐ MongoDB IconRapidly create and deploy powerful Java applications that integrate with MongoDB document databases.