In this tutorial, we will use the REST API Task to call some API. We will use the OAuth connection along the REST API Task to write / update data to Google Spreadsheet.

Prerequisites

Before we perform the steps listed in this article, you will need to make sure the following prerequisites are met:

1. SSIS designer installed. Sometimes it is referred to as BIDS or SSDT (download it from Microsoft site).
2. Basic knowledge of SSIS package development using Microsoft SQL Server Integration Services.
3. Make sure ZappySys SSIS PowerPack is installed (download it).
4. Credentials of Google API.

Component Mention in this article

	JSON Generator Transform
	Web API Destination
	REST API Task

Create a Google API Project

The first step to access any Google API is to create an API Project in Google Console. If you don’t want to go through this then Skip this Step-1 and in the next section select the Default OAuth App option on OAth Connection Manager (This is the easiest option for now unless you want to use your own OAuth App).

Check this article for step-by-step instructions. When you follow these instructions make sure you enable Google Sheet API.

Create OAuth Connection Manager in SSIS

Once you create a Google API project and obtained a Client ID and Client Secret your next step is to create OAuth Connection Manager in SSIS. ZappySys OAuth connection manager comes with many predefined OAuth Providers (e.g. Facebook, Twitter, Google, etc) but you can also define custom OAuth settings for any OAuth enabled API.

To create SSIS OAuth 2.0 Connection for Google API perform the following steps.

1. Download and Install SSIS PowerPack.
2. Create a new SSIS Package.
3. Right-click in Connection Manager Area and Click “New Connection”.
4. When prompted select ZS-OAUTH connection type, On the OAuth Connection Manager Select Provider=Google.
5. Click here to create credentials. Then select the “Use Custom OAuth App” option and enter your ClientID, ClientSecret.
6. In the Scopes enter below scopes (or click Select Scopes). This will allow read/write access to Drive Files or Sheet (E.g. Reading file content / Export file to CSV). You can use the Scope browser to see many other available permissions. For more information click here.
   

   https://www.googleapis.com/auth/drive
   https://www.googleapis.com/auth/drive.file
   https://www.googleapis.com/auth/drive.readonly
   https://www.googleapis.com/auth/spreadsheets
   https://www.googleapis.com/auth/spreadsheets.readonly

7. Click on the Generate Token button.
   

   SSIS OAuth Connection Manager – Access Google Drive API using OAuth 2.0

8. You will see UI as below… Click Allow (You may have to scroll to see that button sometimes).
9. Click on Test Connection to see the connection is working and click on the OK button to save configure setting UI.

Find Google Sheet ID for API calls

Before we can write or update Sheet data in SSIS we need to know Google Driver File ID. We will use this ID in the next few sections.

The easiest way to find File ID is to look at the URL like below. If you need to know ID at runtime dynamically then refer to the last section.

Get Google Drive File ID for API call (Sheet ID)

Create Variables to make dynamic URL

1. Here, we are going to make a Dynamic URL value.
2. In Visual Studio Project Right Click on Design Panel, Select Variables.
   

   Create Variables

3. Let’s Create Variables with correct DataType and Value. In variable “varRange” set only the starting point(Sheet1!A2) of data if you don’t know the ending point and leave the first-row for giving header row later or click here.
   

Write SQL Server data to Google Spreadsheet

Now let’s look at a real-world example. How to write data from SQL Server table or other source and send to Google Sheet using Web API Destination.

1. Drag and Drop SSIS Data Flow Task from SSIS Toolbox.
   

   Dragging and dropping Data Flow Task into Control Flow

2. Double click on the Data Flow task to see the Data Flow designer surface.
3. Here, In Visual Studio, drag and drop the OLE DB Source, JSON Generator Transform and Web API Destination in the design surface and join the components with the blue arrow.
   

   Drag and Drop OLE DB Source, JSON Generator Transform, and Web API Destination

4. Here, you can use our Free ZS Dummy Data Source too. Click here for more information.
5. But, we are going through OLE DB Source so we need OLEDB Connection.

Create OLE DB Connection

1. Lets, create the OLE DB Connection.
2. Let’s, Right-click on Connection Managers Panel to Create OLEDB Connection, so you can use Source and Context Menu will appear, Select New OLEDB Connection from the Context Menu.
   

   Create OLE DB Connection

3. Now, click on New Button to create Connection.
   

   Create New Connection

4. Let’s Configure Connection Manager, just Follow steps one by one as we have created.
   

   Configure OLE DB Connection

5. Click on Test Connection to see correct configure it.
6. Click on the OK button to save connection configure setting UI.

Configure JSON Generator Transform

1. Double click on JSON Generator Transform to configure it.
2. Set Output Mode to Single Dataset Array. Right-click on Mappings, select Add Static Element then enter Name: “range” and Select variable we have created for value.
   

   Configure JSON Generator Transform – Add Static Value

3. Again, Right-click on Mappings, select Add Static Element then enter Name: “majorDimension” and Value: “ROWS“.
   

   Configure JSON Generator Transform – Add Static Value

4. Now, Right-click on Mappings, select Add Document Array, Check to Treat as 2D array option and enter Element Name as “values“.
   

   Configure JSON Generator Transform – Add Document Array

5. Then, right-click on Document Array, select Add elements > Select Add Multiple Columns and check on columns you like to add.
   

   Configure JSON Generator Transform – Add Element

6. Click on the OK button to save JSON Generator Transform configure setting UI.

Configure Web API Destination

1. Double click on Web API Destination to configure it.
2. Select the OAuth connection manager created in an earlier section (Assuming you had all scopes with write permission).
3. In the Setting tab,
   1. In URL, Generate Dynamic URL like below. Change Sheet ID, Range designator(including Sheet name) and API URL Parameters as per your need.
      

      https://sheets.googleapis.com/v4/spreadsheets/{{User::varGoogleSpreadsheetID}}/values/{{User::varRange}}:{{User::varSpreadsheetValues}}?valueInputOption={{User::varValueInputOption}}

      Example URL without variables (some part masked with xxxxxxxx):
      

      https://sheets.googleapis.com/v4/spreadsheets/1tuGO3_-2JlSmyiHwX6xxxxxxxxCHrORJc/values/Sheet1!A2:B4:append?valueInputOption=USER_ENTERED

   2. Change Request Method to POST.
   3. Select JSON Generator variable into Body (Request Data) or you can select Input column for Body (JSON Generator Output).
   4. Set application/JSON to Body Content-type.
      

      Configure Web API Destination

4. Click on the OK button to save Web API Destination configure setting UI.
5. That’s all, You are ready to Run or Execute Task and verify data into Google spreadsheet. Now update header row values for click here.
   

   Run or Execute Package and verify data into Google Spreadsheet

Append data to Google SpreadSheet using REST API Task

Now let’s look at how to write to Google SpreadSheet. To write multiple rows in a single request. Also, check this link to learn more.

For more information, you can see the example here. For parameter, detail review this API documentation.

You can use SSIS REST API Task or Web API Destination to achieve the Spreadsheet write scenario. For a simple example, let’s use the REST API Task.

1. Drag and Drop ZS REST API Task on the control flow designer.
   

   Drag and Drop REST API Task

2. Double click on ZS REST API Task to configure it.
3. In the Request Settings tab,
   1. set Request URL Access Mode to Url from a connection. Select OAuth Connection from the dropdown (Same connection we created in the previous section).
   2. Enter the URL below. Change Sheet ID, Range designator(including Sheet name) and API URL Parameters as per your need.
      

      https://sheets.googleapis.com/v4/spreadsheets/{{User::varGoogleSpreadsheetID}}/values/{{User::varRange}}:{{User::varSpreadsheetValues}}?valueInputOption={{User::varValueInputOption}}

      Example URL without variables (some part masked with xxxxxxxx):
      

      https://sheets.googleapis.com/v4/spreadsheets/1tuGO3_-2JlSmyiHwX6xxxxxxxxCHrORJc/values/Sheet1!A1:append?valueInputOption=USER_ENTERED

   3. Change Request Method to POST.
   4. Enter Request Body as below
      
      Note: For example purpose, we included header line in data cells but in the real-world header may already exist in the sheet.

      {
        "range": "{{User::varRange}}",
        "majorDimension": "ROWS",
        "values": [
          ["Item", "Cost", "Stocked", "Ship Date"],
          ["Wheel", "$20.50", "4", "3/1/2016"],
          ["Door", "$15", "2", "3/15/2016"],
          ["Engine", "$100", "1", "3/20/2016"],
          ["Totals", "=SUM(B2:B4)", "=SUM(C2:C4)", "=MAX(D2:D4)"]
        ]
      }

   5. Change Request Content type to application/JSON.
      

      Write data to Google SpreadSheet using REST API Task (OAuth 2.0 Connection)

4. Click on the OK button to save REST API Task configure setting UI.
5. That’s all, You are ready to Run or Execute Task and verify data into Google spreadsheet.
   

   Execute REST API Task and verify Google Spreadsheet data

Update Google Sheet Cells

Now let’s look at the below example of updating multiple cells in google Spreadsheet. For more information, you can see the example here. For parameter, detail review this API documentation.

You can use SSIS REST API Task or Web API Destination to achieve the Spreadsheet Update scenario. For a simple example, let’s use the REST API Task.

Update Google Sheet header cells manually

1. Drag and drop ZS REST API Tasks on the control flow designer.
2. Double click on the First REST API Task to configure it.
3. In the Request Settings tab,
   1. Enter the URL below. Change Range designator(including Sheet name: Sheet1!A1) and API URL Parameters as per your need.
      

      https://sheets.googleapis.com/v4/spreadsheets/{{User::varGoogleSpreadsheetID}}/values/{{User::varRange}}?valueInputOption={{User::varValueInputOption}}

      Example URL without variables (some part masked with xxxxxxxx):
      

      https://sheets.googleapis.com/v4/spreadsheets/1tuGO3_-2JlSmyiHwX6xxxxxxxxCHrORJc/values/Sheet1!A1?valueInputOption=USER_ENTERED

   2. Change Request Method to PUT.
   3. Enter Request Body as below
      

      {
        "range": "{{User::varRange}}",
        "majorDimension": "ROWS",
        "values": [
          ["CustomerID", "CustomerName"]
        ]
      }

4. Click on the OK button to save REST API Task configure setting UI.
5. That’s all, You are ready to Run or Execute Task and verify data into Google spreadsheet.
   

Single Range (Set Values for multiple cells)

1. Follow the previous section(write data to Google Spreadsheet) to update sheet data.
2. In the Request Settings tab,
   1. Enter the URL below. Change Sheet ID, Range designator(including Sheet name) and API URL Parameters as per your need.
      

      https://sheets.googleapis.com/v4/spreadsheets/{{User::varGoogleSpreadsheetID}}/values/{{User::varRange}}?valueInputOption={{User::varValueInputOption}}

      Example URL without variables (some part masked with xxxxxxxx):
      

      https://sheets.googleapis.com/v4/spreadsheets/1tuGO3_-2JlSmyiHwX6xxxxxxxxCHrORJc/values/Sheet1!A2:B4?valueInputOption=USER_ENTERED

   2. Change Request Method to PUT.
   3. Enter Request Body as below
      

      {
        "range": "{{User::varRange}}",
        "majorDimension": "ROWS",
        "values": [
          ["Laptop", "$2000.50"],
          ["Mobile", "$1150"]
        ]
      }

3. That’s all, click on the Test Request/Response button and verify data into Google spreadsheet.
   

   Calling Google Sheet API to Update Multiple Cell Values

Clear data to Google SpreadSheet using REST API Task

Clear a sheet of all values while preserving formats

Lets clear a sheet of all values by REST API Task, Before processed we need sheet Id. So let’s get the SheetId by API Call. For more information about click here.

1. Drag and Drop two ZS REST API Tasks on the control flow designer and rename(Get Sheet ID and Clear Google Sheet of all values) it.
2. Double click on the First REST API(Get Sheet ID) Task to configure it.
3. In the Request Settings tab,
   1. Enter the URL below. Change Sheet ID and API URL Parameters as per your need.
      

      https://sheets.googleapis.com/v4/spreadsheets/{{User::varGoogleSpreadsheetID}}

      Example URL without variables (some part masked with xxxxxxxx):
      

      https://sheets.googleapis.com/v4/spreadsheets/1tuGO3_-2JlSmyiHwX6xxxxxxxxCHrORJc

   2. Change Request Method to GET.
      REST API Task – Get Google Sheet ID
4. Now go to Response Settings Tab, Select Response content Type Json and Write Response Content Filter Expression. Check on Save Response Content. Select Save Mode to Variable and Create a New variable or select it.
   Example of Response Content Filter Expression for the first Sheet : 
   

   $.sheets.[0].properties.sheetId

   

   REST API Task – Save Google Sheet ID into Variable

5. Now, click on the Test Request/Response to check configures are ok.
6. Click on the OK button to save REST API Task configure setting UI.
7. Double click on the second REST API(Clear Google Sheet of all values) Task to configure it.
8. In the Request Settings tab,
   1. Enter the URL below. Change Sheet ID and API URL Parameters as per your need.
      

      https://sheets.googleapis.com/v4/spreadsheets/{{User::varGoogleSpreadsheetID}}:batchUpdate

      Example URL without variables (some part masked with xxxxxxxx):
      

      https://sheets.googleapis.com/v4/spreadsheets/1tuGO3_-2JlSmyiHwX6xxxxxxxxCHrORJc:batchUpdate

   2. Change Request Method to POST. Enter Request Body as below and change a variable parameter as per your need.
      

      {
        "requests": [
          {
            "updateCells": {
              "range": {
                "sheetId": {{User::varGoogleSheetID}}
              },
              "fields": "userEnteredValue"
            }
          }
        ]
      }

   3. Change Request Content type to application/JSON.
      
      

      REST API Task Configure – Clear sheet of all values

9. Click on the OK button to save REST API Task configure setting UI.
10. That’s all, You are ready to Run or Execute Task and verify data into Google spreadsheet.

Clears range cell values from a spreadsheet

1. Double click on REST API Task to configure it. Then, follow the way just like the previous section configures REST API Task.
2. Here you need to set the value of Variable “varSpreadsheetValues” to “clear” or you can change it directly in URL append to clear and value of variable “varRange” (Change cell range and sheet name) as per your need. For more information about it click here.
   1. Enter the URL below. Change Sheet ID, Range designator(including Sheet name) and API URL Parameters as per your need.
      

      https://sheets.googleapis.com/v4/spreadsheets/{{User::varGoogleSpreadsheetID}}/values/{{User::varRange}}:{{User::varSpreadsheetValues}}?valueInputOption={{User::varValueInputOption}}

      Example URL without variables (some part masked with xxxxxxxx):
      

      https://sheets.googleapis.com/v4/spreadsheets/1tuGO3_-2JlSmyiHwX6xxxxxxxxCHrORJc/values/Sheet1!A2:B4:clear?valueInputOption=USER_ENTERED

3. Change Request Method to POST.
4. Enter Request Body as below
   

   {}

5. Change Request Content type to application/JSON.
6. That’s all, click on the Test Request/Response button and verify data into Google spreadsheet.

Conclusion

Google Drive API and Google Sheets API provide a great way to automate file-related functionality. However, to call Google API  you have to use the SDK / coding approach (e.g. C#, Java, Python, Ruby). Luckily ZappySys SSIS PowerPack provides a great way to integrate any Google API call via simple drag and drop approach without coding. Try out yourself see how long it takes to call virtually any REST API.

References

Finally, you can use the following links for more information:

• JSON Generator Transform
• Web API Destination
• REST API Task
• Help File:
  • JSON Generator Transform
  • Web API Destination
  • REST API Task

The post How to write/update Google Sheet in SSIS appeared first on ZappySys Blog.

These days, JSON is more popular and it is replacing XML because it is faster, easier to use, it is shorter because it does not require tags and uses brackets instead.
In this tutorial, we will learn how to convert XML into JSON using SSIS. So let’s get started.

Requirements

1. 1. SSDT for business intelligence installed.
   2. ZappySys SSIS PowerPack

Getting started

A simple example to convert XML into JSON

This example is simple, we only need to get books’ information like the title, genre, price.

1. First in SSDT, drag and drop the Data Flow task:
   

   Drag and drop the Data Flow task

    

2. Press Example 1 to generate XML code. In the filter, you can add the following filter:

   $.store.book[*].author

   

   Adding filters to convert XML to JSON

    

3. Also, in connection press new and add a connection to a JSON file which will be the path where the JSON file will be stored.
4. In addition, go to your JSON file destination, go to mappings and select Add Elements below this node.
5. Select the option Add Multiple (Bound) and select the columns that you want to export to JSON:
   

   Add multiple bounds

    

6. Run the package and you will be able to see the data exported:
   

   Convert XML into JSON

How to convert array elements in XML to JSON?

The following example shows how to convert array elements from XML into JSON using SSIS.
We will use the Example 2 of the XML Source component:

XML with arrays

1. First, we will create a connection and then on mappings, we will Add Element(s) (Below this node):
   

   Add element JSON destination

    

2. Secondly, add the id source column:
   

   Add XML id property

    

3. Also, repeat the same step to add the name. The XML source configuration should be like the following:
   

   Add columns

    

4. You can set the data time format and culture also:
   

   Select JSON culture, date format

    

5. Finally, you will have the source XML like the following:
   

   JSON outoput

How to convert complex XML to JSON with a heterogeneous format

Sometimes you have an XML with different types of arrays, elements, attribute with different formats in the same XML file.
In this new example, we will work with the example 3 of the XML JSON Source. We will extract 2 arrays into 2 different JSON destinations with the help of the Multicast and the XML parser.

1. First, in the Data Flow, we will build something like this:
   

   XML Parser Transformation example

    

2. Also, in the XML Source, we will use the example 3, with includes different arrays and XML elements. Check the option Output as a RAW document:
   

   XML Source example

    

3. In addition, in XML Parser Transform, copy the XML file from the source here to parse metadata. In filter we will add the following filter:

   $.root.ColDocArray.element[*]

   

   XML filter

    

4. The output displayed will be like the following in JSON format:
   

   JSON destination

    

5. Also, in the other XML parser, we will do the same than with the first, but we will extract information of the ColStrArray elements. The filter used is the following:

   $.root.ColStrArray.element[*]

   

   XML second example

    

6. Finally, the JSON destination will be the following:
   

   JSON Destination to CONVERT XML INTO JSON

Conclusion

To conclude, we can say that the ZappySys SSIS PowerPack provide powerful tools to export data from XML to JSON. We test first a simple example and then we tested arrays and finally we parsed an XML file with multiple elements with a different format. Feel free to download FREE trial of SSIS PowerPack and try out 70+ awesome Tasks and Components.

References

• • 1. SSIS XML Source (Read XML File or Web API)
    2. SSIS JSON File Destination (Create JSON File)
    3. Extensible Markup Language (XML)
    4. Introducing to JSON

The post How to Convert XML into JSON using SSIS appeared first on ZappySys Blog.