Create data source using Amazon S3 CSV File ODBC Driver

Step-by-step instructions

To get data from Amazon S3 CSV File using SAP Crystal Reports, we first need to create an ODBC data source. We will later read this data in SAP Crystal Reports. Perform these steps:

1. Download and install ODBC PowerPack (if you haven't already).

2. Search for odbc and open the ODBC Data Sources (64-bit):

   

3. Create a User data source (User DSN) based on the ZappySys Amazon S3 CSV Driver driver:

   ZappySys Amazon S3 CSV Driver

   
   • Create and use a User DSN if the client application runs under a User Account. This is the ideal option at design time (e.g., when developing in Visual Studio). Use it for both types of applications (64-bit and 32-bit).
   • Create and use a System DSN if the client application runs under a System Account (e.g., as a Windows Service). This is usually the required option in a production environment. If your Windows Service is a 32-bit application, you must use the 32-bit ODBC Data Source Administrator to configure this

4. Create and configure a connection for the Amazon S3 storage account.

   

5. You can use select your desired single file by clicking [...] path button.

   mybucket/dbo.tblNames.csv

   dbo.tblNames.csv

   
   
   
   ----------OR----------

   You can also read the multiple files stored in Amazon S3 Storage using wildcard pattern supported e.g. dbo.tblNames*.csv.
   

   Note: If you want to operation with multiple files then use wild card pattern as below 
   (when you use wild card pattern in source path then system will treat target path as folder regardless you end with slash)
   
   mybucket/dbo.tblNames.csv (will read only single .CSV file)
   mybucket/dbo.tbl*.csv (all files starting with file name)
   mybucket/*.csv (all files with .csv Extension and located under folder subfolder)
   

   mybucket/dbo.tblNames*.csv

   
   
   
   ----------OR----------

   You can also read the zip and gzip compressed files also without extracting it in using Amazon S3 CSV Source File Task.

   mybucket/dbo.tblNames*.gz

   

6. Navigate to the Preview Tab and let's explore the different modes available to access the data.
   

   1. --- Using Direct Query ---

      Click on Preview Tab, Select Table from Tables Dropdown and select [value] and click Preview.
      

   2. --- Using Stored Procedure ---

      Note : For this you have to Save ODBC Driver configuration and then again reopen to configure same driver. For more information click here.
      

      Click on the Custom Objects Tab, Click on Add button and select Add Procedure and Enter an appropriate name and Click on OK button to create.
      

      1. --- Without Parameters ---

         Now Stored Procedure can be created with or without parameters (see example below). If you use parameters then Set default value otherwise it may fail to compilation)
         
         

      2. --- With Parameters ---

         Note : Here you can use Placeholder with Paramters in Stored Procedure.
         Example : SELECT * FROM $ WHERE OrderID = '<@OrderID, FUN_TRIM>' or CustId = '<@CustId>' and Total >= '<@Total>'
         

         

   3. --- Using Virtual Table ---

      Note : For this you have to Save ODBC Driver configuration and then again reopen to configure same driver. For more information click here.
      

      ZappySys APi Drivers support flexible Query language so you can override Default Properties you configured on Data Source such as URL, Body. This way you don't have to create multiple Data Sources if you like to read data from multiple EndPoints. However not every application support supplying custom SQL to driver so you can only select Table from list returned from driver.

      Many applications like MS Access, Informatica Designer wont give you option to specify custom SQL when you import Objects. In such case Virtual Table is very useful. You can create many Virtual Tables on the same Data Source (e.g. If you have 50 Buckets with slight variations you can create virtual tables with just URL as Parameter setting).

      vt__Customers
      DataPath=mybucket_1/customers.csv
      
      vt__Orders
      DataPath=mybucket_2/orders.csv
      
      vt__Products
      DataPath=mybucket_3/products.csv
      

      1. Click on the Custom Objects Tab, Click on Add button and select Add Table and Enter an appropriate name and Click on OK button to create.
         
      2. Once you see Query Builder Window on screen Configure it.
         
      3. Click on Preview Tab, Select Virtual Table(prefix with vt__) from Tables Dropdown or write SQL query with Virtual Table name and click Preview.
         

7. Click OK to finish creating the data source

8. That's it; we are done. In a few clicks we configured the to Read the Amazon S3 CSV File data using ZappySys Amazon S3 CSV File Connector

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 AmazonS3CsvFileDSN which we created in upper section. And Click on Next.

   AmazonS3CsvFileDSN

   

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

   AmazonS3CsvFileDSN

   AmazonS3CsvFileDSN

   

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

You can create parameterized Stored Procedure and Virtual Tables on the same Data Source (ODBC DSN or Data Gateway Data Source). Please refer to this article for the same. You can create procedures to encapsulate custom logic and then only pass handful parameters rather than long SQL to execute your API call.

Using Custom Views in the SAP Crystal Report

After establishing the connection with AmazonS3CsvFileDSN Data Source you can use the custom view in SQL Crystal Report.

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 AmazonS3CsvFileDSN 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.
   AmazonS3CsvFileDSN

   

Optional: Centralized data access via ZappySys Data Gateway

In some situations, you may need to provide Amazon S3 CSV File data access to multiple users or services. Configuring the data source on a Data Gateway creates a single, centralized connection point for this purpose.

This configuration provides two primary advantages:

• Centralized data access
  The data source is configured once on the gateway, eliminating the need to set it up individually on each user's machine or application. This significantly simplifies the management process.
• Centralized access control
  Since all connections route through the gateway, access can be governed or revoked from a single location for all users.

	Data Gateway	Local ODBC data source
Simple configuration
Installation	Single machine	Per machine
Connectivity	Local and remote	Local only
Connections limit	Limited by License	Unlimited
Central data access
Central access control
More flexible cost

To achieve this, you must first create a data source in the Data Gateway (server-side) and then create an ODBC data source in SAP Crystal Reports (client-side) to connect to it.

Let's not wait and get going!

Create Amazon S3 CSV File data source in the gateway

In this section we will create a data source for Amazon S3 CSV File in the Data Gateway. Let's follow these steps to accomplish that:

1. Search for gateway in the Windows Start Menu and open ZappySys Data Gateway Configuration:

   

2. Go to the Users tab and follow these steps to add a Data Gateway user:

   • Click the Add button
   • In the Login field enter a username, e.g., john
   • Then enter a Password
   • Check the Is Administrator checkbox
   • Click OK to save
   

3. Now we are ready to add a data source:

   • Click the Add button
   • Give the Data source a name (have it handy for later)
   • Then select Native - ZappySys Amazon S3 CSV Driver
   • Finally, click OK
   AmazonS3CsvFileDSN

   ZappySys Amazon S3 CSV Driver

   

4. When the ZappySys Amazon S3 CSV Driver configuration window opens, go back to ODBC Data Source Administrator where you already have the Amazon S3 CSV File ODBC data source created and configured, and follow these steps on how to Import data source configuration into the Gateway:

   • Open ODBC data source configuration and click Copy settings:
     

     ZappySys Amazon S3 CSV Driver - Configuration [Version: 2.0.1.10418]

     ZappySys Amazon S3 CSV Driver - Amazon S3 CSV File

     Read and write CSV files in Amazon S3 effortlessly. Streamline, manage, and automate CSV files in S3 buckets for analytics, reporting, and data pipelines — almost no coding required.

     AmazonS3CsvFileDSN

     
   • The window opens, telling us the connection string was successfully copied to the clipboard:

   • Then go to Data Gateway configuration and in data source configuration window click Load settings:

     AmazonS3CsvFileDSN

     

     ZappySys Amazon S3 CSV Driver - Configuration [Version: 2.0.1.10418]

     ZappySys Amazon S3 CSV Driver - Amazon S3 CSV File

     Read and write CSV files in Amazon S3 effortlessly. Streamline, manage, and automate CSV files in S3 buckets for analytics, reporting, and data pipelines — almost no coding required.

     AmazonS3CsvFileDSN

     
   • Once a window opens, just paste the settings by pressing CTRL+V or by clicking right mouse button and then Paste option.

5. Once done, go to the Network Settings tab and Add a firewall rule for inbound traffic:

   
   • This will initially allow all inbound traffic.
   • Click Edit IP filters to restrict access to specific IP addresses or ranges.

6. Crucial Step: After creating or modifying the data source, you must:

   • Click the Save button to persist your changes.
   • Hit Yes when prompted to restart the Data Gateway service.

   This ensures all changes are properly applied:

   
   Skipping this step may cause the new settings to fail, preventing you from connecting to the data source.

Create ODBC data source to connect to the gateway

In this part we will create an ODBC data source to connect to the ZappySys Data Gateway from SAP Crystal Reports. To achieve that, let's perform these steps:

1. Search for odbc and open the ODBC Data Sources (64-bit):

   

2. Create a User data source (User DSN) based on the ODBC Driver 17 for SQL Server driver:

   ODBC Driver 17 for SQL Server

   
   If you don't see the ODBC Driver 17 for SQL Server driver in the list, choose a similar version.

3. Then set a Name for the data source (e.g. Gateway) and the address of the Data Gateway:

   ZappySysGatewayDSN

   localhost,5000

   
   Make sure you separate the hostname and port with a comma, e.g. localhost,5000.

4. Proceed with the authentication part:

   • Select SQL Server authentication
   • In the Login ID field enter the user name you created in the Data Gateway, e.g., john
   • Set Password to the one you configured in the Data Gateway
   

5. Then set the default database property to AmazonS3CsvFileDSN (the one we used in the Data Gateway):

   AmazonS3CsvFileDSN

   AmazonS3CsvFileDSN

   
   Make sure to type the data source name manually or copy/paste it directly into the field. Using the dropdown might fail because the Trust server certificate option is not enabled yet (next step).

6. Continue by checking the Trust server certificate option:

   

7. Once you do that, test the connection:

   

8. If the connection is successful, everything is good:

   

9. Done!

We are ready to move to the final step. Let's do it!

Access data in SAP Crystal Reports via the gateway

Finally, we are ready to read data from Amazon S3 CSV File in SAP Crystal Reports via the Data Gateway. Follow these final steps:

1. Go back to SAP Crystal Reports.

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

   

3. 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 ZappySysGatewayDSN which we created in upper section. And Click on Next.

   ZappySysGatewayDSN

   

4. Read the data the same way we discussed at the beginning of this article.

5. That's it!

Now you can connect to Amazon S3 CSV File data in SAP Crystal Reports via the Data Gateway.

Conclusion

In this article we showed you how to connect to Amazon S3 CSV File in SAP Crystal Reports and integrate data without writing complex code — all of this was powered by Amazon S3 CSV File ODBC Driver.

Download ODBC PowerPack now or ping us via chat if you have any questions or are looking for a specific feature (you can also reach out to us by submitting a ticket):

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