JSON File Connector for SSAS In this article you will learn how to integrate JSON File data in SSAS without coding in just a few clicks (live / bi-directional connection to JSON File). JSON File Connector can be used to extract and output JSON data stored in local files or direct JSON String (variables or DB columns). JSON Connector also supports JSONPath to filter data from nested array/sub-documents. This Connector is optimized to work with very large files.. Using JSON File Connector you will be able to connect, read, and write data from within SSAS. Follow the steps below to see how we would accomplish that. Download Documentation The driver mentioned above is part of ODBC PowerPack which is a collection of high-performance Drivers for various API data source (i.e. REST API, JSON, XML, CSV, Amazon S3 and many more). Using familiar SQL query language you can make live connections and read/write data from API sources or JSON / XML / CSV Files inside SQL Server (T-SQL) or your favorite Reporting (i.e. Power BI, Tableau, Qlik, SSRS, MicroStrategy, Excel, MS Access), ETL Tools (i.e. Informatica, Talend, Pentaho, SSIS). You can also call our drivers from programming languages such as JAVA, C#, Python, PowerShell etc. If you are new to ODBC and ZappySys ODBC PowerPack then check the following links to get started. ODBC PowerPack - System Requirements and Installation Getting Started - Using ODBC PowerPack ODBC API Driver Help File

Connect to JSON File in other apps Connect to JSON File in SSIS Connect to JSON File in SQL Server Connect to JSON File in Power BI Connect to JSON File in SSRS Connect to JSON File in Informatica Connect to JSON File in MS Access Connect to JSON File in MS Excel Connect to JSON File in C# Connect to JSON File in Python Connect to JSON File in JAVA Connect to JSON File in Tableau Connect to JSON File in SAP Crystal Reports Connect to JSON File in Azure Data Factory (Pipeline) Connect to JSON File in Azure Data Factory (SSIS) Connect to JSON File in Talend Studio Connect to JSON File in UiPath Connect to JSON File in PowerShell Connect to JSON File in ODBC

Create Data Source in ZappySys Data Gateway based on JSON Driver

1. Download and install ZappySys ODBC PowerPack.

2. Search for gateway in start menu and Open ZappySys Data Gateway:
   

3. Go to Users Tab to add our first Gateway user. Click Add; we will give it a name tdsuser and enter password you like to give. Check Admin option and click OK to save. We will use these details later when we create linked server:
   

4. Now we are ready to add a data source. Click Add, give data source a name (Copy this name somewhere, we will need it later) and then select Native - ZappySys JSON Driver. Finally, click OK. And it will create the Data Set for it and open the ZS driver UI.

   

5. You can use pass single file or multiple file path using wildcard pattern in path and you can use select single file by clicking [...] path button or multiple file using wildcard pattern in path.
   

   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)
   
   C:\SSIS\Test\reponse.json (will read only single reponse.json file)
   C:\SSIS\Test\j*.json (all files starting with file name)
   C:\SSIS\Test\*.json (all files with .json Extension and located under folder subfolder)
   

6. Now enter JSONPath expression in Array Filter textbox to extract only specific part of JSON file as below ($.value[*] will get content of value attribute from JSON document. Value attribute is array of JSON documents so we have to use [*] to indicate we want all records of that array)
   

   NOTE: Here, We are using our desired filter, but you need to select your desired filter based on your requirement.

   
   Click on Test Connection button to view whether the Test Connection is SUCCESSFUL or Not.
   $.value[*]
   

7. Once you configured a data source, you can preview data. Hit Preview tab, and use similar settings to preview data:
   

8. Click OK to finish creating the data source

9. That's it; we are done. In a few clicks we configured the call to JSON File using ZappySys JSON File Connector

Read JSON File data in SSAS cube

With the data source created in the Data Gateway (previous step), we're now ready to read JSON File data in an SSAS cube. Before we dive in, open Visual Studio and create a new Analysis Services project. Then, you're all set!

Create data source based on ZappySys Data Gateway

Let's start by creating a data source for a cube, based on the Data Gateway's data source we created earlier. So, what are we waiting for? Let's do it!

1. Create a new data source:
2. Once a window opens, select Create a data source based on an existing or new connection option and click New...:
3. Here things become a little complicated, but do not despair, it's only for a little while. Just perform these little steps:
   • Select Native OLE DB\SQL Server Native Client 11.0 as provider.
   • Enter your Server name (or IP address) and Port, separated by a comma.
   • Select SQL Server Authentication option for authentication.
   • Input User name which has admin permissions in the ZappySys Data Gateway.
   • In Database name field enter the same data source name you use in the ZappySys Data Gateway.
   • Hopefully, our hard work is done, when we Test Connection.
   JsonFileDSN

   JsonFileDSN

   
   If SQL Server Native Client 11.0 is not listed as Native OLE DB provider, try using these:

   • Microsoft OLE DB Driver for SQL Server
   • Microsoft OLE DB Provider for SQL Server
4. Indeed, life is easy again:

Add data source view

We have data source in place, it's now time to add a data source view. Let's not waste a single second and get on to it!

1. Start by right-clicking on Data Source Views and then choosing New Data Source View...:
2. Select the previously created data source and click Next:
3. Ignore the Name Matching window and click Next.
4. Add the tables you will use in your SSAS cube:
   For cube dimensions, consider creating a Virtual Table in the Data Gateway's data source. Use the DISTINCT keyword in the SELECT statement to get unique values from the facts table, like this:

   SELECT DISTINCT Country FROM Customers

   For demonstration purposes we are using sample tables which may not be available in JSON File.
5. Review your data source view and click Finish:
6. Add the missing table relationships and you're done!

Create cube

We have a data source view ready to be used by our cube. Let's create one!

1. Start by right-clicking on Cubes and selecting New Cube... menu item:
2. Select tables you will use for the measures:
3. And then select the measures themselves:
4. Don't stop and select the dimensions too:
5. Move along and click Finish before the final steps:
6. Review your cube before processing it:
7. It's time for the grand finale! Hit Process... to create the cube:
8. A splendid success!

Execute MDX query

The cube is created and processed. It's time to reap what we sow! Just execute an MDX query and get JSON File data in your SSAS cube:

Advanced topics

Create Custom Stored Procedure in ZappySys Driver

You can create procedures to encapsulate custom logic and then only pass handful parameters rather than long SQL to execute your API call.

Steps to create Custom Stored Procedure in ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here

1. Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
   

2. Enter the desired Procedure name and click on OK:
   

3. Select the created Stored Procedure and write the your desired stored procedure and Save it and it will create the custom stored procedure in the ZappySys Driver:
   Here is an example stored procedure for ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here
   

   CREATE PROCEDURE [usp_get_orders]
       @fromdate = '<<yyyy-MM-dd,FUN_TODAY>>'
    AS
       SELECT * FROM Orders where OrderDate >= '<@fromdate>';
   

   
   

4. That's it now go to Preview Tab and Execute your Stored Procedure using Exec Command. In this example it will extract the orders from the date 1996-01-01:
   

   Exec usp_get_orders '1996-01-01';

   
   

5. Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
   As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.
   

   SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC usp_get_orders @fromdate=''1996-07-30''')

   
   

6. Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
   

Create Custom Virtual Table in ZappySys Driver

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.

If you're dealing with Microsoft Access and need to import data from an SQL query, it's important to note that Access doesn't allow direct import of SQL queries. Instead, you can create custom objects (Virtual Tables) to handle the import process.

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 URLs with slight variations you can create virtual tables with just URL as Parameter setting.

1. Go to Custom Objects Tab and Click on Add button and Select Add Table:
   

2. Enter the desired Table name and click on OK:
   

3. And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.

4. Select the created table, Select Text Type AS SQL and write the your desired SQL Query and Save it and it will create the custom table in the ZappySys Driver:
   Here is an example SQL query for ZappySys Driver. You can insert Placeholders also. Read more about placeholders here
   

   SELECT
     "ShipCountry",
     "OrderID",
     "CustomerID",
     "EmployeeID",
     "OrderDate",
     "RequiredDate",
     "ShippedDate",
     "ShipVia",
     "Freight",
     "ShipName",
     "ShipAddress",
     "ShipCity",
     "ShipRegion",
     "ShipPostalCode"
   FROM "Orders"
   Where "ShipCountry"='USA'

   
   

5. That's it now go to Preview Tab and Execute your custom virtual table query. In this example it will extract the orders for the USA Shipping Country only:
   

   SELECT * FROM "vt__usa_orders_only"

   
   

6. Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
   As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.
   

   SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC [usp_get_orders] ''1996-01-01''')

   
   

7. Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
   

Conclusion

In this article we discussed how to connect to JSON File in SSAS and integrate data without any coding. Click here to Download JSON File Connector for SSAS and try yourself see how easy it is. If you still have any question(s) then ask here or simply click on live chat icon below and ask our expert (see bottom-right corner of this page).

Download JSON File Connector for SSAS Documentation 

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Download JSON File Connector for SSAS Documentation

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