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The CData JDBC driver for Shopify data enables access to live data from dashboards and reports. This article shows how to connect to Shopify data as a JDBC data source and publish reports based on Shopify data in Pentaho.
Create a new data source with the driver by clicking Data -> Add Data Source -> Advanced -> JDBC (Custom) and then creating a new Shopify connection. In the resulting dialog, configure the connection properties as shown below.
Custom Connection URL property: Enter the JDBC URL. This starts with jdbc:shopify: and is followed by a semicolon-separated list of connection properties.
To make use of all the features of the data provider, provide the AppId, Password, and ShopUrl connection properties.
To obtain these values, see the Getting Started section in the help documentation to register the data provider as an application with Shopify.
For assistance in constructing the JDBC URL, use the connection string designer built into the Shopify JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.shopify.jar
Fill in the connection properties and copy the connection string to the clipboard.
๐ 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:
jdbc:shopify:AppId=MyAppId;Password=MyPassword;ShopUrl=https://yourshopname.myshopify.com;
You are now ready to create a report with Shopify data.
Add the Shopify source to your report: Click Data -> Add Data Source -> JDBC and select the data source.
Configure the query. This article uses the one below:
SELECT FirstName, Id FROM Customers๐ The query to retrieve data, specified in the JDBC data source configuration wizard. (Salesforce is shown.)
Download a free trial of the Shopify Driver to get started:
Download NowLearn more:
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