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Azure Data Lake Storage Icon Azure Data Lake Storage ODBC Driver

The Azure Data Lake Storage ODBC Driver is a powerful tool that allows you to connect with live data from Azure Data Lake Storage, directly from any applications that support ODBC connectivity.

Access Azure Data Lake Storage data like you would a database - read, write, and update Azure Data Lake Storage ADLSData, etc. through a standard ODBC Driver interface.

Create Reports with Azure Data Lake Storage Data in SAP Crystal Reports



Use the Report Wizard to design a report based on up-to-date Azure Data Lake Storage data.

Crystal Reports has many options for offloading data processing to remote data; this enables real-time reporting. The CData ODBC Driver for Azure Data Lake Storage brings this capability to Crystal Reports. This article shows how to create a report on Azure Data Lake Storage data that refreshes when you run the report.

Refer to the given table for the tools and versions used for this article:

Application NameVersion
SAP Crystal Reports 2020SP3
ODBC Driver23.0.8565

Connect to Azure Data Lake Storage Data

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.

Authenticating to a Gen 1 DataLakeStore Account

Gen 1 uses OAuth 2.0 in Azure AD for authentication.

For this, an Active Directory web application is required. You can create one as follows:

  1. Sign in to your Azure Account through the .
  2. Select "Azure Active Directory".
  3. Select "App registrations".
  4. Select "New application registration".
  5. Provide a name and URL for the application. Select Web app for the type of application you want to create.
  6. Select "Required permissions" and change the required permissions for this app. At a minimum, "Azure Data Lake" and "Windows Azure Service Management API" are required.
  7. Select "Key" and generate a new key. Add a description, a duration, and take note of the generated key. You won't be able to see it again.

To authenticate against a Gen 1 DataLakeStore account, the following properties are required:

  • Schema: Set this to ADLSGen1.
  • Account: Set this to the name of the account.
  • OAuthClientId: Set this to the application Id of the app you created.
  • OAuthClientSecret: Set this to the key generated for the app you created.
  • TenantId: Set this to the tenant Id. See the property for more information on how to acquire this.
  • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

Authenticating to a Gen 2 DataLakeStore Account

To authenticate against a Gen 2 DataLakeStore account, the following properties are required:

  • Schema: Set this to ADLSGen2.
  • Account: Set this to the name of the account.
  • FileSystem: Set this to the file system which will be used for this account.
  • AccessKey: Set this to the access key which will be used to authenticate the calls to the API. See the property for more information on how to acquire this.
  • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.
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.

Design a Report in SAP Crystal Reports

Follow the procedure below to use the SAP Crystal Reports tool to create the Azure Data Lake Storage connection and Design a Report.

  1. File -> New -> Standard Report. Create a standard report.
  2. Expand the ODBC (RDO) node under Create New Connection and double-click on "Make a New Connection". Select CData Azure Data Lake Storage Sys or any other source to prepare the report. Click on NEXT and FINISH. Data Source Selection
  3. Configure the data source by selecting the tables needed in the report and clicking NEXT. Add the table.
  4. You can also link tables from the Azure Data Lake Storage data in SAP Crystal Reports. Click on NEXT after adding the links between tables. Add multiple tables. Link the tables.
  5. After the tables are selected, select the fields you want displayed in the report from the selected table, followed by NEXT. Add the fields to display.
  6. Select the "Group By" field to group the information on the report. Add the Group By field.
  7. Sort the groups based on summarised totals and click on NEXT. Group Sorting

Create a Chart

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 FullPath column's values.

  1. In the Standard Report Creation Wizard, select the Bar Chart option and select the column you grouped by in the "On change of" menu.
  2. In the Show Summary menu, select the summary you created.
  3. Select filters and a template, as needed, to finish the wizard. Select a chart type.

Select a template for the report to preview the finished report and view the chart populated with your data.

Select a template type.

The Final Report

You can now see that the report contains all the fields specified.

The final report.

Working with Remote Data

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.

  1. Click File -> Report Options and select the "Perform Grouping On Server" option. Perform Grouping On Server option.
  2. Click Report -> Section Expert and select the Details section of your report. Select the "Hide (Drill-Down OK)" option. Hide (Drill-Down OK) option.

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 Azure Data Lake Storage data using SAP Crystal Reports and CData ODBC Driver. Learn more about the CData ODBC Driver for Azure Data Lake Storage and download a free trial from the Azure Data Lake Storage ODBC Driver page. Let our Support Team know if you have any questions.