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Crystal Reports has many options for offloading data processing to remote data; this enables real-time reporting. The CData ODBC Driver for Google BigQuery brings this capability to Crystal Reports. This article shows how to create a report on BigQuery data that refreshes when you run the report.
CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:
Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.
For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery
Refer to the given table for the tools and versions used for this article:
| Application Name | Version |
|---|---|
| SAP Crystal Reports 2020 | SP3 |
| ODBC Driver | 23.0.8565 |
If you have not already, specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
Google uses the OAuth authentication standard. To access Google APIs on behalf of individual users, you can use the embedded credentials or you can register your own OAuth app.
OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, register an application to obtain the OAuth JWT values.
In addition to the OAuth values, specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.
π Create the ODBC DSN connection.When configuring the DSN, 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.
Follow the procedure below to use the SAP Crystal Reports tool to create the BigQuery connection and Design a Report.
After selecting a column to group by, the Standard Report Creation Wizard presents the option to create a chart. Follow the steps below to create a chart aggregating the OrderName column's values.
Select a template for the report to preview the finished report and view the chart populated with your data.
π Select a template type.You can now see that the report contains all the fields specified.
π The final report.To ensure that you see updates to data, click File and clear the "Save Data with Report" option. As you interact with the report, for example, drilling down to hidden details, Crystal Reports executes SQL queries to retrieve the data needed to display the report. To reload data you have already retrieved, refresh or rerun the report.
You can offload processing onto the driver by hiding details elements and enabling server-side grouping. To do this, you need to select a column to group by in the report creation wizard.
When you preview your report with the hidden details, Crystal Reports executes a GROUP BY query. When you double-click a column in the chart to drill down to details, Crystal Reports executes a SELECT WHERE query that decreases load times by retrieving only the data needed.
At this point, you have created a SAP Crystal report built on top of live BigQuery data using SAP Crystal Reports and CData ODBC driver. Learn more about the CData ODBC Driver for Google BigQuery and download a free trial from the CData ODBC Driver for Google BigQuery page. Let our Support Team know if you have any questions.
Download a free trial of the Google BigQuery ODBC Driver to get started:
Download NowLearn more:
π Google BigQuery IconThe Google BigQuery ODBC Driver is a powerful tool that allows you to connect with live Google BigQuery data, directly from any applications that support ODBC connectivity.
Access Google BigQuery like you would a database - read, write, and update Datasets, Tables, etc. through a standard ODBC Driver interface.