Apache Spark Connector for SAP Crystal Reports Apache Spark Connector lets you connect to Apache Spark, a unified engine for large-scale data analytics. In this article you will learn how to quickly and efficiently integrate Apache Spark data in SAP Crystal Reports without coding. We will use high-performance Apache Spark Connector to easily connect to Apache Spark and then access the data inside SAP Crystal Reports. Let's follow the steps below to see how we can accomplish that! Download Documentation Apache Spark Connector for SAP Crystal Reports is based on ZappySys JDBC Bridge Driver which is part of ODBC PowerPack. It is a collection of high-performance ODBC drivers that enable you to integrate data in SQL Server, SSIS, a programming language, or any other ODBC-compatible application. ODBC PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few.

Connect to Apache Spark in other apps Connect to Apache Spark in SSIS Connect to Apache Spark in SQL Server Connect to Apache Spark in Power BI Connect to Apache Spark in SSRS Connect to Apache Spark in Informatica Connect to Apache Spark in MS Access Connect to Apache Spark in MS Excel Connect to Apache Spark in SSAS Connect to Apache Spark in C# Connect to Apache Spark in Python Connect to Apache Spark in JAVA Connect to Apache Spark in Tableau Connect to Apache Spark in Azure Data Factory (Pipeline) Connect to Apache Spark in Azure Data Factory (SSIS) Connect to Apache Spark in Talend Studio Connect to Apache Spark in UiPath Connect to Apache Spark in PowerShell Connect to Apache Spark in ODBC

Prerequisites

Before we begin, make sure you meet the following prerequisite:

• Java 8 Runtime Environment (JRE) installed. It is recommended to use these distributions:

  • Amazon Corretto 8
  • Oracle JRE 8

Download Apache Spark JDBC driver

To connect to Apache Spark in SAP Crystal Reports, you will have to download JDBC driver for it, which we will use in later steps. It is recommended to use JDBC driver compiled for Java 8, if possible. Let's perform these little steps right away:

1. Visit MVN Repository.
2. Download the JDBC driver, and save it locally, e.g. to D:\Drivers\JDBC\hive-jdbc-standalone.jar.
3. Make sure to download the standalone version of the Apache Hive JDBC driver to avoid Java library dependency errors, e.g., hive-jdbc-4.0.1-standalone.jar (commonly used driver to connect to Spark).
4. Done! That was easy, wasn't it? Let's proceed to the next step.

Create ODBC Data Source (DSN) based on ZappySys JDBC Bridge Driver

Step-by-step instructions

To get data from Apache Spark using SAP Crystal Reports we first need to create a DSN (Data Source) which will access data from Apache Spark. We will later be able to read data using SAP Crystal Reports. Perform these steps:

1. Download and install ODBC PowerPack.

2. Open ODBC Data Sources (x64):

   

3. Create a User data source (User DSN) based on ZappySys JDBC Bridge Driver

   ZappySys JDBC Bridge Driver

   
   • Create and use User DSN if the client application is run under a User Account. This is an ideal option in design-time, when developing a solution, e.g. in Visual Studio 2019. Use it for both type of applications - 64-bit and 32-bit.
   • Create and use System DSN if the client application is launched under a System Account, e.g. as a Windows Service. Usually, this is an ideal option to use in a production environment. Use ODBC Data Source Administrator (32-bit), instead of 64-bit version, if Windows Service is a 32-bit application.

4. Now, we need to configure the JDBC connection in the new ODBC data source. Simply enter the Connection string, credentials, configure other settings, and then click Test Connection button to test the connection:

   ApacheSparkDSN

   jdbc:hive2://spark-thrift-server-host:10000

   D:\Drivers\JDBC\hive-jdbc-standalone.jar

   []

   

   Use these values when setting parameters:

   • Connection string: jdbc:hive2://spark-thrift-server-host:10000
   • JDBC driver file(s): D:\Drivers\JDBC\hive-jdbc-standalone.jar
   • Connection parameters: []

5. You should see a message saying that connection test is successful:

   

   Otherwise, if you are getting an error, check out our Community for troubleshooting tips.

6. We are at the point where we can preview a SQL query. For more SQL query examples visit JDBC Bridge documentation:

   ApacheSparkDSN

   -- Basic SELECT with a WHERE clause
   SELECT
       id,
       name,
       salary
   FROM employees
   WHERE department = 'Sales';

   

   -- Basic SELECT with a WHERE clause
   SELECT
       id,
       name,
       salary
   FROM employees
   WHERE department = 'Sales';

   You can also click on the <Select Table> dropdown and select a table from the list.

   The ZappySys JDBC Bridge Driver acts as a transparent intermediary, passing SQL queries directly to the Trino JDBC driver, which then handles the query execution. This means the Bridge Driver simply relays the SQL query without altering it.

   Some JDBC drivers don't support INSERT/UPDATE/DELETE statements, so you may get an error saying "action is not supported" or a similar one. Please, be aware, this is not the limitation of ZappySys JDBC Bridge Driver, but is a limitation of the specific JDBC driver you are using.

7. Click OK to finish creating the data source.

Video Tutorial

Read data in SAP Crystal Reports from the ODBC data source

1. First of all, open SAP Crystal Reports and create the new Crystal Report.
   

2. And it will open the new data source selection window. Under ODBC(RDO) double click on the Make New Connection and Select the desired ODBC DSN, in our case we need to select ApacheSparkDSN which we created in upper section. And Click on Next.
   

   ApacheSparkDSN

   

3. Expand the Connection and under the data select the desired table(s) or view(s) and click Add > button and click on Next.
   

   ApacheSparkDSN

   ApacheSparkDSN

   

4. Add the desired Fields to Display in the Reports. Here we are adding all fields and click on Finish.
   

5. That's it and you will be able to load the data in the Report.
   

Using ZappySys Driver Custom Views and Stored Procedure in SAP Crystal Report

Using Custom Views in the SAP Crystal Report

ApacheSparkDSN

ApacheSparkDSN

Using Custom Stored Procedure in the SAP Crystal Report

1. First of all, create the custom stored procedure in the ZappySys Driver. Please refer to this article to create the custom stored procedure.
   
2. After establishing the connection with ApacheSparkDSN Data Source you can use the custom Stored Procedure in SQL Crystal Report. Same way you can write custom queries also in the query box.
   ApacheSparkDSN

   

Conclusion

In this article we showed you how to connect to Apache Spark in SAP Crystal Reports and integrate data without any coding, saving you time and effort. It's worth noting that ZappySys JDBC Bridge Driver allows you to connect not only to Apache Spark, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

We encourage you to download Apache Spark Connector for SAP Crystal Reports and see how easy it is to use it for yourself or your team.

If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.

Download Apache Spark Connector for SAP Crystal Reports Documentation

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