Google Sheets Connector for Azure Data Factory (SSIS)

Read / write Google Sheets data inside your app, perform many Google Sheets operations without coding using easy to use high performance API Connector for Google Sheets
You can use this connector to integrate Google Sheets data inside SSIS and SQL Server. Let's take a look at the steps below to see how exactly to accomplish that.

Download Documentation

If you are new with SSIS and ZappySys SSIS PowerPack then check below links to get started.

How to get started with SSIS and SSIS PowerPack. it covers how to install necessary tools to design/debug SSIS Packages, deploy to SSIS catalog and last Schedule SSIS Package to run using SQL Agent. It will also cover how to secure SSIS package and Parameterize values (e.g. Password, Hostname, etc).
SSIS API Source Help File
SSIS API Destination Help File

Connect to Google Sheets in other apps

Connect to Google Sheets in SSIS

Connect to Google Sheets in SQL Server

Connect to Google Sheets in Power BI

Connect to Google Sheets in SSRS

Connect to Google Sheets in Informatica

Connect to Google Sheets in MS Access

Connect to Google Sheets in MS Excel

Connect to Google Sheets in SSAS

Connect to Google Sheets in C#

Connect to Google Sheets in Python

Connect to Google Sheets in JAVA

Connect to Google Sheets in Tableau

Connect to Google Sheets in SAP Crystal Reports

Connect to Google Sheets in Azure Data Factory (Pipeline)

Connect to Google Sheets in Talend Studio

Connect to Google Sheets in UiPath

Connect to Google Sheets in PowerShell

Connect to Google Sheets in ODBC

Create SSIS package

First of all, create an SSIS package, which will connect to Google Sheets in SSIS. Once you do that, you are one step closer to deploying and running it in Azure-SSIS integration runtime in Azure Data Factory (ADF). Then simply proceed to the next step - creating and configuring Azure Blob Storage Container.

Prepare custom setup files for Azure-SSIS runtime

Now it's time to start preparing custom setup files for Azure-SSIS runtime. During Azure-SSIS runtime creation you can instruct ADF to perform a custom setup on a VM (Azure-SSIS node); i.e. to run the custom installer, copy files, execute PowerShell scripts, etc. In that case, your custom setup files are downloaded and run in the Azure-SSIS node (a VM) when you start the runtime. In this section we will prepare custom setup files so that you can run SSIS packages with SSIS PowerPack connectors inside in Azure-SSIS runtime.

Read more on Azure-SSIS runtime custom setup in Microsoft Azure Data Factory reference.

Trial Users

Use the step below if you are a Trial User, when you did not purchase a license key. Proceed with these steps:

Download SSIS PowerPack trial installer.
Make sure you don't rename the installer and keep it named as SSISPowerPackSetup_64bit_Trial.msi.
Create a text file and name it main.cmd (make it all lowercase, very important).

Copy and paste this script into it and save it:

set DIR=%CUSTOM_SETUP_SCRIPT_LOG_DIR%

echo Calling Step 1 : %TIME% >> "%DIR%\steps_log.txt"
dir /s /b > "%DIR%\file_list.txt"

echo Calling Step 2 : %TIME% >> "%DIR%\steps_log.txt"

::Install SSIS PowerPack
msiexec /i  "SSISPowerPackSetup_64bit_Trial.msi" ADDLOCAL=ALL /q  /L*V "%DIR%\powerpack_trial_install_log.txt"

echo Calling Step 3 : %TIME% >> "%DIR%\steps_log.txt"
dir "C:\Program Files\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"
dir "C:\Program Files (x86)\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"

echo DONE : %TIME% >> "%DIR%\steps_log.txt"

echo complete

This is the entry-point script that is executed when Azure-SSIS runtime is started.

At last! You are ready to upload these two files — main.cmd & SSISPowerPackSetup_64bit_Trial.msi — into your Azure Blob Storage container's folder, which we will do in the Upload custom setup files to Azure Blob Storage container step.

Paid Customers

Use the steps below if you are a Paid Customer, when you purchased a license. Proceed with these steps:

Download SSIS PowerPack paid installer.
Make sure you don't rename the installer and keep it named as SSISPowerPackSetup_64bit.msi.
Have your SSIS PowerPack license key handy, we will need it in the below script.
Create a text file and name it main.cmd (make it all lowercase, very important).
Copy and paste the below script into it.
Paste your license key by replacing parameter's --register argument with your real license key.

Finally, save main.cmd:

set DIR=%CUSTOM_SETUP_SCRIPT_LOG_DIR%

echo Calling Step 1 : %TIME% >> "%DIR%\steps_log.txt"
dir /s /b > "%DIR%\file_list.txt"

echo Calling Step 2 : %TIME% >> "%DIR%\steps_log.txt"

::Install SSIS PowerPack
msiexec /i  "SSISPowerPackSetup_64bit.msi" ADDLOCAL=ALL /q  /L*V "%DIR%\powerpack_install_log.txt"

echo Calling Step 3 : %TIME% >> "%DIR%\steps_log.txt"

::Activate PowerPack license (Optional)
"C:\Program Files (x86)\ZappySys\SSIS PowerPack (64 bit)\LicenseManager.exe" -p SSISPowerPack --register "lgGAAO0-----REPLACE-WITH-YOUR-LICENSE-KEY-----czM=" --logfile "%DIR%\powerpack_register_log.txt"

::Show System Info
echo Calling Step 4 : %TIME% >> "%DIR%\steps_log.txt"
"C:\Program Files (x86)\ZappySys\SSIS PowerPack (64 bit)\LicenseManager.exe" -i -l "%DIR%\sysinfo_log.txt"

echo Calling Step 5 : %TIME% >> "%DIR%\steps_log.txt"
dir "C:\Program Files\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"
dir "C:\Program Files (x86)\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"

echo DONE : %TIME% >> "%DIR%\steps_log.txt"

echo complete

This is the entry-point script that is executed when Azure-SSIS runtime is started.

At last! You are ready to upload these two files — main.cmd & SSISPowerPackSetup_64bit.msi — into your Azure Blob Storage container's folder, which we will do in the Upload custom setup files to Azure Blob Storage container step.

Upload custom setup files to Azure Blob Storage container

Within Azure Blob Storage container we will store custom setup files we prepared in the previous step so that Azure-SSIS can use them in custom setup process. Just perform these very simple, but very important steps:

Create Azure Blob Storage container, if you haven't done it already
Make sure you create and use Azure Blob Storage container instead of Azure Data Lake Storage folder. Azure Data Lake Storage won't allow creating an SAS URI for the container, which is a crucial step in the process.
Find Blob Containers node, right-click on it and hit Create Blob Container option:
Upload the two custom setup files — main.cmd & the MSI installer — into your Azure Blob Storage container's folder:
It was easy, wasn't it? It's time we create an SAS URI in the next step.

Create SAS URI for Azure Blob Container

Once you have custom setup files prepared, it's time we generate an SAS URI. This SAS URI will be used by a new Azure-SSIS runtime to install SSIS PowerPack inside the runtime's node, a VM. Let's proceed together by performing the steps below:

Install and launch Azure Storage Explorer.
Right-click on the Storage Accounts node and then hit Connect to Azure storage... menu item:
Proceed by right-clicking on that container node and select Get Shared Access Signature... option.
Next, set the Expiry time field to a date far in the future.
If you restart Azure-SSIS runtime and your SAS URI is expired by that time, it will not start.
Select Read, Create, Write, and List permissions:
We also recommend to add Delete permission too to support future functionality.
Copy SAS URL to the clipboard and save it for the next step: You can also generate and copy SAS URL from within Azure Portal itself:

Create Azure-SSIS integration runtime

Once you have the SAS URL we obtained in the previous step, we are ready to move on to create an Azure-SSIS runtime in Azure Data Factory:

Firstly, perform the steps described in Create an Azure-SSIS integration runtime article in Azure Data Factory reference.
In Advanced settings page section, configure Custom setup container SAS URI you obtained in the previous step:
And you are done! That was quick! You can see your Azure-SSIS runtime up and running:

The custom setup script is executed only once — at the time an Azure-SSIS runtime is started.

It is also executed if you stop and start Azure-SSIS runtime again.

Deploy SSIS package in Visual Studio

We are ready to deploy the SSIS package to Azure-SSIS runtime. Once you do that, proceed to the next step for the grand finale!

Execute SSIS package in SQL Server Management Studio (SSMS)

After all hard work, we are ready to execute SSIS package in SQL Server Management Studio (SSMS):

Connect to the SQL Server which is linked to your Azure-SSIS runtime and contains SSISDB database.
Navigate to Integration Services Catalog » Your Folder » Your Project » Your Package, right-click on it, and hit Execute...:
To view the status of the past execution, navigate to Integration Services Catalog » Your Folder » Your Project » Your Package, right-click on it, and select Reports » Standard Reports » All Executions menu item:

Scenarios

Moving SSIS PowerPack license to another Azure-SSIS runtime

If you are a Paid Customer, there will be a time when you no longer use Azure-SSIS runtime or you need to use your license on a different ADF instance. To transfer a license from one Azure-SSIS runtime to another, perform these steps:

Copy & paste this script into main.cmd we used in the previous step:

set DIR=%CUSTOM_SETUP_SCRIPT_LOG_DIR%

echo Calling Step 1 : %TIME% >> "%DIR%\steps_log.txt"
dir /s /b > "%DIR%\file_list.txt"
 
echo Calling Step 2 : %TIME% >> "%DIR%\steps_log.txt"

::Install SSIS PowerPack
msiexec /i  "SSISPowerPackSetup_64bit.msi" ADDLOCAL=ALL /q  /L*V "%DIR%\powerpack_install_log.txt"
 
echo Calling Step 3 : %TIME% >> "%DIR%\steps_log.txt"
 
::De-Activate same license
"C:\Program Files (x86)\ZappySys\SSIS PowerPack (64 bit)\LicenseManager.exe" -p SSISPowerPack --unregister --logfile "%DIR%\powerpack_un_register_log.txt"
 
::Show System Info
echo Calling Step 4 : %TIME% >> "%DIR%\steps_log.txt"
"C:\Program Files (x86)\ZappySys\SSIS PowerPack (64 bit)\LicenseManager.exe" -i -l "%DIR%\sysinfo_log.txt"
 
echo Calling Step 5 : %TIME% >> "%DIR%\steps_log.txt"
dir "C:\Program Files\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"
dir "C:\Program Files (x86)\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"
 
echo DONE : %TIME% >> "%DIR%\steps_log.txt"
 
echo complete

Start Azure-SSIS runtime.
This will unregister your license on the original Azure-SSIS runtime.
Stop Azure-SSIS runtime to deallocate resources in Azure.
Now you are free to activate it on another Azure-SSIS runtime.

Advanced topics

Actions supported by Google Sheets Connector

Google Sheets Connector support following actions for REST API integration. If some actions are not listed below then you can easily edit Connector file and enhance out of the box functionality.

Read Sheet Data

Read google spreadsheet data from desired tab / cell location (i.e. start/end range) [Read more...]

Parameter	Description
Range

Clear Sheet Values

Clears values from a spreadsheet. The caller must specify the spreadsheet ID and range. Only values are cleared -- all other properties of the cell (such as formatting, data validation, etc..) are kept. [Read more...]

Parameter	Description
Range

Delete Sheet Rows / Columns

Deletes rows / columns based on startIndex / endIndex range (Index is zero based). For example to delete First 5 rows specify startIndex=0 and endIndex=4 [Read more...]

Parameter

Description

Range Type

Specifies what would you like to delete (i.e. Rows or Columns)

Option	Value
ROWS	ROWS
COLUMNS	COLUMNS

Range Start Index (starts from 0)

Range Start Index (Zero based) for operation. For Column Operation translate Alpha value to zero based index. Example: Column D = Index 3. Column AA=26

Range End Index (starts from 0)

Range End Index (Zero based) for operation. For Column Operation translate Alpha value to zero based index. Example: Column D = Index 3. Column AA=26

TabId

Numeric ID of SpreadSheet Tab for which you like to delete rows/columns. For first tab its 0. You can find this ID from Sheet URL in browser. Get Number after edit#gid= (thats your Tab ID)

Delete SpreadSheet Tab

Deletes specified tab from spreadsheet [Read more...]

Parameter	Description
TabId	Numeric ID of SpreadSheet Tab for which you like to delete rows/columns. For first tab its 0. You can find this ID from Sheet URL in browser. Get Number after edit#gid= (thats your Tab ID)

Create SpreadSheet Tab

Creates new tab for specified spreadsheet. [Read more...]

Parameter	Description
NewTabName	Name for new Tab you like to add
InitialRowCount	Initial row count for new sheet
InitialColumnCount	Initial column count for new sheet
TabColorRedValue	Tab Color - Red Value for RGB
TabColorGreenValue	Tab Color - Green Value for RGB
TabColorBlueValue	Tab Color - Blue Value for RGB

Execute Command(s)

Perform various operations available in online editor such as copy, paste, format, merge. Add multiple JSON command by adding comma after first command (e.g. requests : [ {..cmd1..} , {..cmd2..}, {..cmd3..} ] ) Refer to example requests on help link. [Read more...]

Parameter	Description
Request Body
TabId	Numeric ID of SpreadSheet Tab for which you like to delete rows/columns. For first tab its 0. You can find this ID from Sheet URL in browser. Get Number after edit#gid= (thats your Tab ID)

Update Sheet Data (Overwrite Cells)

Update data to spreadsheet on desired tab / cell location (i.e. start/end range) [Read more...]

Parameter	Description
Range for Table Boundary (Including Header)	Enter Range to detect Table column names and datatypes. Example: enter A1:C if you have table of 3 columns starting from Cell A1
Range for Data Cells	Cell Range which needs to be update. Example: Enter A2 if you like to start update from cell A2

Insert Sheet Data (Append at the end)

Append data to spreadsheet on desired tab. Data is appended after last non-empty row/cell location. You can supply cell offset to start scan to find non-empty cell. [Read more...]

Parameter	Description
Start Range	This is the range in which next row location is detected based on first empty cell and row (Examples: A1, A1:GR, A1:GR200). This range is also used to detect metadata. Values are appended after the last row of the table.

Get Sheet Properties / Tab information

Read read sheet properties (e.g. list of tabs on sheet and its properties) [Read more...]

Parameter

Description

SpreadSheetId

Option	Value
Enter SpreadSheet Id
Example SpreadSheet Id	1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms

Generic Request

This is generic endpoint. Use this endpoint when some actions are not implemented by connector. Just enter partial URL (Required), Body, Method, Header etc. Most parameters are optional except URL. [Read more...]

Parameter	Description
Url	API URL goes here. You can enter full URL or Partial URL relative to Base URL. If it is full URL then domain name must be part of ServiceURL or part of TrustedDomains
Body	Request Body content goes here
IsMultiPart	Set this option if you want to upload file(s) (i.e. POST RAW file data) or send data using Multi-Part encoding method (i.e. Content-Type: multipart/form-data). Multi-Part request allows you to mix key/value and upload files in same request. On the other hand raw upload allows only single file upload (without any key/value) ==== Raw Upload (Content-Type: application/octet-stream) ===== To upload single file in raw mode check this option and specify full file path starting with @ sign in the Body (e.g. @c:\data\myfile.zip ) ==== Form-Data / Multipart Upload (Content-Type: multipart/form-data) ===== To treat your Request data as multi part fields you must specify key/value pairs separated by new lines into RequestData field (i.e. Body). Each key value pair is entered on new-line and key/value are separated using equal sign (=). Preceding and trailing spaces are ignored also blank lines are ignored. If field value has some any special character(s) then use escape sequence (e.g. For NewLine: \r\n, For Tab: \t, For at (@): \@). When value of any field starts with at sign (@) its automatically treated as File you want to upload. By default file content type is determined based on extension however you can supply content type manually for any field using this way [ YourFileFieldName.Content-Type=some-content-type ]. By default File Upload Field always includes Content-Type in the request (non file fields do not have content-type by default unless you supply manually). For some reason if you dont want to use Content-Type header in your request then supply blank Content-Type to exclude this header altogather [e.g. SomeFieldName.Content-Type= ]. In below example we have supplied Content-Type for file2 and SomeField1, all other fields are using default content-type. See below Example of uploading multiple files along with additional fields. If some API requires you to pass Content-Type: multipart/form-data rather than multipart/form-data then manually set Request Header => Content-Type: multipart/mixed (it must starts with multipart/ else will be ignored). file1=@c:\data\Myfile1.txt file2=@c:\data\Myfile2.json file2.Content-Type=application/json SomeField1=aaaaaaa SomeField1.Content-Type=text/plain SomeField2=12345 SomeFieldWithNewLineAndTab=This is line1\r\nThis is line2\r\nThis is \ttab \ttab \ttab SomeFieldStartingWithAtSign=\@MyTwitterHandle
Filter	Enter filter to extract array from response. Example: $.rows[] --OR-- $.customers[].orders[*]. Check your response document and find out hierarchy you like to extract
Headers	Headers for Request. To enter multiple headers use double pipe or new line after each {header-name}:{value} pair

Conclusion

In this article we discussed how to connect to Google Sheets in Azure Data Factory (SSIS) and integrate data without any coding. Click here to Download Google Sheets Connector for Azure Data Factory (SSIS) 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 Google Sheets Connector for Azure Data Factory (SSIS) Documentation

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Build your own Custom API Connector

Download Google Sheets Connector for Azure Data Factory (SSIS) Documentation

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