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This article shows how to connect to CSV from Jaspersoft Studio as a standard JDBC data source with the CData JDBC Driver for CSV. You will use the standard Jaspersoft wizards to build SQL queries to CSV. The queries are executed directly to the CSV APIs, enabling real-time connectivity to CSV data.
To create a JDBC data source in Jaspersoft Studio, create a data adapter:
CData Drivers let you work with CSV files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.
Set the URI property to local folder path.
To connect to CSV file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended CSV files exist. In addition, at least set these properties:
To connect to CSV file(s) within Box, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Box.
To connect to CSV file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.
To connect to CSV file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. Set User, Password, and StorageBaseURL.
To connect to CSV file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.
To connect to CSV file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.
For assistance in constructing the JDBC URL, use the connection string designer built into the CSV JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.csv.jar
Fill in the connection properties and copy the connection string to the clipboard.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
Below is a typical JDBC URL for CSV:
jdbc:csv:URI=/PATH/TO/MyCSVFilesFolder;π A data adapter configured to use the JDBC Driver. (Salesforce is shown.)
Follow the steps below to build an SQL query to CSV, the basis of a simple report:
SELECT City, SUM(TotalDue) FROM Customer GROUP BY Cityπ The SQL query to be used to pull data into the report. (Salesforce is shown.)
In the Preview tab, you can see the report as it would look with the current CSV data.
π A JasperReport template populated with live data. (Salesforce is shown.)The following sections show how to create a chart tied to its own SQL query. When retrieving the data from the remote data source, more restrictive queries, written for specific report objects, can result in faster performance.
Follow the steps below to create a new dataset to populate the chart:
SELECT City, SUM(TotalDue) FROM Customer GROUP BY Cityπ The SQL query to be used to fill the chart. (Salesforce is shown.)
After adding the dataset, follow the steps below to map column values to the chart axes in the chart wizard:
Specify the y-axis values: In the chart wizard, click the button next to the Value box. In the Expression Editor, double-click TotalDue to set the expression to $F{TotalDue}.
$F{City}.toString()
π Columns selected for the axes of the chart.You can now generate reports on CSV data just as you would any other JDBC data source. Jaspersoft Studio periodically refreshes the data across report runs.
π The finished report's last page, displaying the chart. (Salesforce is shown.)Download a free trial of the CSV Driver to get started:
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π CSV/TSV Files IconRapidly create and deploy powerful Java applications that integrate with delimited flat-file (CSV/TSV) data.