Google Sheets Connector for Informatica

In this article you will learn how to integrate Google Sheets data in Informatica without coding in just a few clicks (live / bi-directional connection to Google Sheets). 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.

Using Google Sheets Connector you will be able to connect, read, and write data from within Informatica. 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.

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 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 Azure Data Factory (SSIS)

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

NOTE: If you need to consume API which is not listed on connector library page then please refer to the below article links. It talks about how to read / write pretty much any API and not just Google Sheets API. It explains various API tips / tricks using our other Universal Drivers not mentioned in this article (i.e. ZappySys JSON / XML and CSV Drivers).
How to read API data in Informatica (Call JSON / XML SOAP Service)
How to write data to API (POST) in Informatica (Call JSON / XML SOAP Service)

Introduction

JSON / REST API is becoming more and more popular each day as everyone embrace cloud-centric services. This article is primarily focused on Informatica users who want to access Google Sheets data or may be other API Integration in Informatica. However many tips and techniques described in this article will help you to understand how to integrate Google Sheets / XML SOAP / JSON / REST API in other ETL / Reporting apps such as Tableau, Power BI, SSRS, Talend, Excel and many more.

After going through this article you will learn how to Read Google Sheets / JSON / REST API data in Informatica and understand the concept of JSON / REST API. We will go through many screenshots and step-by-step examples to demonstrate Google Sheets or REST API integration in Informatica PowerCenter.

XML / JSON can come from a local file or REST API service (internal or public) so we will include both examples in this article (i.e. Read JSON files in Informatica, Import REST API in Informatica). So let’s get started. Next article will focus on how to write data to API in Informatica (POST / PUT data)

Requirements

This article assumes that you have full filled following basic requirements.

Download Install ZappySys ODBC PowerPack (API Driver for Google Sheets included)
Install Informatica PowerCenter Client Tools (e.g. Workflow and Mapping Designers)
Access to a Relational database such as SQL Server (or use any of your choice e.g. Oracle, MySQL, DB2 ). If nothing available then you can use flat file target.

High level Steps for Import Google Sheets data using Informatica (Read Google Sheets API data)

Before we dive deep to learn how to load Google Sheets data in Informatica (i.e. Google Sheets to SQL Table), Here the summary of high-level steps you need to perform to import Google Sheets in Informatica (same steps for Import JSON / XML / REST API).

Download and Install ZappySys API Driver (for connecting to Google Sheets)
Create ODBC DSN using ZappySys API driver and choose Google Sheets Connector during Wizard
Create Relational > ODBC Connection in Informatica Workflow designer (Point to DSN we created in the previous step)
Import Google Sheets Source Definition in the Informatica Mapping Designer > Sources Tab
Import Target Table Definition in the Informatica Mapping Designer > Targets Tab
Create source to target mapping in Mappings tab
Save mapping (name m_API_to_SQL_Load )
Create Session using the mapping we created in the previous step
Save Workflow and execute to load Google Sheets data into SQL Table. Verify your data and log.
Loading Google Sheets data to SQL Table in Informatica (Import REST API or JSON Files)

Video Tutorial – Read any API / JSON data in Informatica (Load Google Sheets to SQL Table)

Below video is not about Google Sheets API but its showing API access in general (for any API). By watching following ~5 min video can learn steps listed in this article to load JSON API data into SQL Server Table using ZappySys JSON Driver. You can go though full article to learn many useful details not covered in this video.

Watch this video on YouTube

Getting Started – Import Google Sheets to SQL Server in Informatica

Now let’s get started. For example purpose, we will read data from Google Sheets and load data into SQL Server Table using Informatica Workflow.

Create ODBC Data Source (DSN) based on ZappySys API Driver

Step-by-step instructions

To get data from Google Sheets using Informatica we first need to create a DSN (Data Source) which will access data from Google Sheets. We will later be able to read data using Informatica. Perform these steps:

Install ZappySys ODBC PowerPack.
Open ODBC Data Sources (x64):
Create a User Data Source (User DSN) based on ZappySys API Driver

ZappySys API Driver

You should create a System DSN (instead of a User DSN) if the client application is launched under a Windows System Account, e.g. as a Windows Service. If the client application is 32-bit (x86) running with a System DSN, use ODBC Data Sources (32-bit) instead of the 64-bit version.
When the Configuration window appears give your data source a name if you haven't done that already, then select "Google Sheets" from the list of Popular Connectors. If "Google Sheets" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

GoogleSheetsDSN

Google Sheets

Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

User Account [OAuth]

User accounts represent a developer, administrator, or any other person who interacts with Google APIs and services. User accounts are managed as Google Accounts, either with Google Workspace or Cloud Identity. They can also be user accounts that are managed by a third-party identity provider and federated with Workforce Identity Federation. [API reference]

Steps how to get and use Google Sheets credentials

Follow these steps on how to create Client Credentials (User Account principle) to authenticate and access Google Sheets API in SSIS package or ODBC data source:

WARNING: If you are planning to automate processes, we recommend that you use a Service Account authentication method. In case, you still need to use User Account, then make sure you use a system/generic account (e.g. automation@my-company.com). When you use a personal account which is tied to a specific employee profile and that employee leaves the company, the token may become invalid and any automated processes using that token will start to fail.

Step-1: Create project

This step is optional, if you already have a project in Google Cloud and can use it. However, if you don't, proceed with these simple steps to create one:

First of all, go to Google API Console.
Then click Select a project button and then click NEW PROJECT button:
Name your project and click CREATE button:
Wait until the project is created:
Done! Let's proceed to the next step.

Step-2: Enable Google Cloud APIs

In this step we will enable Google Sheets API and Google Drive API:

Select your project on the top bar:
Then click the "hamburger" icon on the top left and access APIs & Services:
Now let's enable several APIs by clicking ENABLE APIS AND SERVICES button:
In the search bar search for sheets and then locate and select Google Sheets API:
Then enable Google Sheets API:
Again, repeat the step and enable Google Drive API as well:
Done! Let's proceed to the next step.

Step-3: Create OAuth application

First of all, click the "hamburger" icon on the top left and then hit VIEW ALL PRODUCTS:
Then access Google Auth Platform to start creating an OAuth application:
Start by pressing GET STARTED button:
Next, continue by filling in App name and User support email fields:
Choose Internal option, if it's enabled, otherwise select External:
Optional step if you used Internal option in the previous step. Nevertheless, if you had to use External option, then click ADD USERS to add a user:
Then add your contact Email address:
Finally, check the checkbox and click CREATE button:
Done! Let's create Client Credentials in the next step.

Step-4: Create Client Credentials

In Google Auth Platform, select Clients menu item and click CREATE CLIENT button:
Choose Desktop app as Application type and name your credentials:
Continue by opening the created credentials:
Finally, copy Client ID and Client secret for the later step:
Done! We have all the data needed for authentication, let's proceed to the last step!

Step-5: Configure connection

Now go to SSIS package or ODBC data source and use previously copied values in User Account authentication configuration:
- In the ClientId field paste the Client ID value.
- In the ClientSecret field paste the Client secret value.
Press Generate Token button to generate Access and Refresh Tokens.
Open your Google Sheets spreadsheet in the browser, e.g.: https://docs.google.com/spreadsheets/d/1QM6WmGloHeGCliCqV3nEj8P-R1RbS59t5xJutN99rU/edit.
Extract the spreadsheet Id from the URL and copy it to the clipboard, e.g. 1QM6WmGloHeGCliCqV3nEj8P-R1RbS59t5xJutN99rU.
Go back to authentication configuration window and paste it into Default SpreadsheetId field.
Finally, click Test Connection to confirm the connection is working.
Done! Now you are ready to use Google Sheets Connector!

Fill in all required parameters and set optional parameters if needed:

GoogleSheetsDSN

Google Sheets

User Account [OAuth]

https://sheets.googleapis.com/v4/spreadsheets

Required Parameters
UseCustomApp	Fill-in the parameter...
Scope	Fill-in the parameter...
Default SpreadSheetId	Fill-in the parameter...
Optional Parameters
ClientId
ClientSecret
Default Tab Name (i.e. Sheet1)
RetryMode	RetryWhenStatusCodeMatch
RetryStatusCodeList	403\|429
RetryCountMax	5
Redirect URL (Only for Web App)

Service Account [OAuth]

Service accounts are accounts that do not represent a human user. They provide a way to manage authentication and authorization when a human is not directly involved, such as when an application needs to access Google Cloud resources. Service accounts are managed by IAM. [API reference]

Steps how to get and use Google Sheets credentials

Follow these steps on how to create Service Account to authenticate and access Google Sheets API in SSIS package or ODBC data source:

Step-1: Create project

This step is optional, if you already have a project in Google Cloud and can use it. However, if you don't, proceed with these simple steps to create one:

First of all, go to Google API Console.
Then click Select a project button and then click NEW PROJECT button:
Name your project and click CREATE button:
Wait until the project is created:
Done! Let's proceed to the next step.

Step-2: Enable Google Cloud APIs

In this step we will enable Google Sheets API and Google Drive API:

Select your project on the top bar:
Then click the "hamburger" icon on the top left and access APIs & Services:
Now let's enable several APIs by clicking ENABLE APIS AND SERVICES button:
In the search bar search for sheets and then locate and select Google Sheets API:
Then enable Google Sheets API:
Again, repeat the step and enable Google Drive API as well:
Done! Let's proceed to the next step.

Step-3: Create Service Account

Use the steps below to create a Service Account in Google Cloud:

First of all, go to IAM & Admin in Google Cloud console:
Once you do that, click Service Accounts on the left side and click CREATE SERVICE ACCOUNT button:
Then name your service account and click CREATE AND CONTINUE button:
Continue by clicking Select a role dropdown and start granting service account Project Viewer roles:
Find Project group and select Viewer role:
Finish adding roles by clicking CONTINUE button:

You can always add or modify permissions later in IAM & Admin.
Finally, in the last step, just click button DONE:
Done! We are ready to add a Key to this service account in the next step.

Step-4: Add Key to Service Account

We are ready to add a Key (P12 certificate) to the created Service Account:

In Service Accounts open newly created service account:
Next, copy email address of your service account for the later step:
Continue by selecting KEYS tab, then press ADD KEY dropdown, and click Create new key menu item:
Finally, select P12 option and hit CREATE button:
P12 certificate downloads into your machine. We have all the data needed for authentication, let's proceed to the last step!

Step-5: Configure connection

Now go to SSIS package or ODBC data source and use previously copied values in User Account authentication configuration:
- In the Service Account Email field paste the service account Email address value you copied in the previous step.
- In the Service Account Private Key Path (i.e. *.p12) field use downloaded certificate's file path.
Press Generate Token button to generate Access and Refresh Tokens.
Open your Google Sheets spreadsheet in the browser, e.g.: https://docs.google.com/spreadsheets/d/1QM6WmGloHeGCliCqV3nEj8P-R1RbS59t5xJutN99rU/edit.
Extract the spreadsheet Id from the URL and copy it to the clipboard, e.g. 1QM6WmGloHeGCliCqV3nEj8P-R1RbS59t5xJutN99rU.
Go back to authentication configuration window and paste it into Default SpreadsheetId field.
Finally, click Test Connection to confirm the connection is working.
Done! Now you are ready to use Google Sheets Connector!

Fill in all required parameters and set optional parameters if needed:

GoogleSheetsDSN

Google Sheets

Service Account [OAuth]

https://sheets.googleapis.com/v4/spreadsheets

Required Parameters
Service Account Email	Fill-in the parameter...
Service Account Private Key Path (i.e. *.p12)	Fill-in the parameter...
Default SpreadSheetId	Fill-in the parameter...
Optional Parameters
Scope	https://www.googleapis.com/auth/drive https://www.googleapis.com/auth/spreadsheets
Default Tab Name (i.e. Sheet1)
RetryMode	RetryWhenStatusCodeMatch
RetryStatusCodeList	403\|429
RetryCountMax	5
Impersonate As (Enter Email Id)

Once the data source has been configured, you can preview data. Select the Preview tab and use settings similar to the following to preview data:
Click OK to finish creating the data source.

Video instructions

Watch this video on YouTube

Create Connection in Informatica Workflow Designer

Once you create DSN using API Driver our next step is to define a connection for Google Sheets source in Informatica PowerCenter Workflow designer.

Open Workflow designer [W] icon
Goto Connections > Relational

Create a new connection for Google Sheets in Informatica
Click New and select ODBC

Select ODBC connection type in Informatica (Using ZappySys API ODBC DSN)
Now on the ODBC connection setup enter connection name, some fake userid / password (this is a required field but its ignored by JSON Driver)
In the Connection String field enter the exact same name of DSN (Open ODBC Data Sources UI to confirm)

Configure Google Sheets connection in Informatica for REST API – Using ZappySys API Driver
Click OK to close the connection properties.

That’s it. Now we ready to move to next step (define source and target in Mapping Designer).

Import Google Sheets Source Definition in Informatica Mapping Designer

Now let’s look at steps to import Google Sheets table definition.

Open Informatica Mapping Designer (Click [D] icon)
Click on Source Icon to switch to Sources designer
From the top menu > Click on Sources > Import from Database …

Import Google Sheets Source definition in Informatica Mapping Designer (JSON file or REST API)
Select ODBC data source from the dropdown (Find out DSN we created earlier to use as JSON Source)
Click Connect button to get a list of tables. Any array node is listed as a table. Also, you will see array node with parent columns (e.g. value_with_parent). You may get some warning like below but they are harmless so just ignore by clicking OK.

DLL name entry missing from C:\Informatica\PowerCenter8.6.1\client\bin\powrmart.ini Section = ODBCDLL Entry = ZappySys JSON Driver
—————————————————-
Using EXTODBC.DLL to support ZappySys JSON Driver. For native support of ZappySys JSON Driver make an entry in the .ini file.

Select Google Sheets Source Table in Informatica Mapping Designer (JSON file or REST API)
Select Table you wish to get (You can filter rows by custom SQL query. We will see later in this article how to do)
Optionally once table structure is imported you can rename it

Rename imported table definition in Informatica Source Designer
That’s it, we are now ready to perform similar steps to import Target table structure in the next section.

Import SQL Server Target Definition in Informatica Mapping Designer

Now let’s look at steps to import Target table definition (very similar to the previous section, the only difference is this time we will select DSN which points to SQL Server or any other Target Server).

Now lets look at steps to import target table definition in Informatica mapping designer.

In the Mapping Designer, Click on Target Icon to switch to Target designer
From the top menu > Click on Targets > Import from Database …
Select DSN for your Target server (if DSN doesn’t exist then create one by opening ODBC Sources just like we created one for JSON API source (see the previous section about creating DSN).

Import target Table Definition in informatica
Enter your userid , password and Schema name and click Connect to see tables
Select Table name to and click OK import definition.

Import Target SQL Table Definition in Informatica – Select table from the list

Create Source to Target Mapping in Informatica (Import JSON to SQL Server)

Once you have imported source and target table definition, we can create mapping and transformation to load data from JSON to SQL Table.

First open Mapping Designer (Click [D] icon)
Drag JSON Source from sources folder
Drag SQL Table from Targets folder
Map desired columns from Source to target

Define Source to Target mapping for Google Sheets to SQL Table load in Informatica
For certain columns you may have to do datatype conversion. For example to convert OrderDate form nstring to DataTime you have to use Expression Transform like below and map it to target. In below example, our JSON has date format (e.g. 2018-01-31 12:00:00 AM ). To import this to DateTime field in SQL server we need to convert it using TO_DATE function. Use double quotes around T to make this format working.
```
TO_DATE(OrderDate,'YYYY-MM-DD H12:MI:SS AM')

 --For ISO use below way
                TO_DATE(OrderDate,'YYYY-MM-DD"T"HH24:MI:SS')
```
Informatica Google Sheets to SQL Table Mapping – Datatype conversion (nstring to datetime)
Once you done with mapping save your mapping and name it (i.e. m_Api_To_SQL)
Now lets move to next section to create workflow.

Create Workflow and Session in Informatica

Now the final step is to create a new workflow. Perform following steps to create workflow which with a session task to import JSON data into SQL table.

Open workflow designer by click [W] icon.
Launch new workflow creation wizard by click Workflow top menu > Wizard
name your workflow (e.g. wf_Api_Tp_Sql_Table_Import)

Creating Informatica Workflow – Wizard UI (Import Google Sheets data to SQL Table)
Finish the wizard and double-click the Session to edit some default properties.
First change Error settings so we fail session on error (By default its always green)

Fail Informatica Session on error (Google Sheets data to SQL Load)
Select JSON connection for Source

Select Google Sheets Source Connection in Informatica – Load Google Sheets data to SQL Table
Change default Source query if needed. You can pass parameters to this query to make it dynamic.

Modify Google Sheets Source SQL query – Pass parameters, change URL, set filter etc
Select Target connection of SQL Target Table

Select SQL Target Connection in Informatica – Load Google Sheets data to SQL Table
Save workflow
That’s it. We ready to run our first workflow to load JSON data to SQL.

Execute Workflow and Validate Log in Informatica

Now once you are done with your workflow, execute it to see the log.

Loading JSON data to SQL Table in Informatica (Import REST API or JSON Files)

Loading Google Sheets data to SQL Table in Informatica (Import REST API or JSON Files)

POST data to Google Sheets in Informatica

There will be a time when you like to send Source data to REST API or SOAP Web Service. You can use below Query for example. For detailed explanation on how to POST data in Informatica check this article.

Video Tutorial – How to POST data to REST API in Informatica

Here is detailed step by step video on REST API POST in informatica PowerCenter

Watch this video on YouTube

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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

Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
Enter the desired Procedure name and click on OK:
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>';
```
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';
```
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''')
```
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.

Go to Custom Objects Tab and Click on Add button and Select Add Table:
Enter the desired Table name and click on OK:
And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.
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'
```
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"
```
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''')
```
Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.

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). Limit is 10MB per request. [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

Option	Value
No filter
Example1	$.store.books[*]
Example2 (Sections Under Books)	$.store.books[].sections[]
Example3 (Equals)	$.store.books[?(@author=='sam')]
Example4 (Equals - Any Section)	$..[?(@author=='sam')]
Example5 (Not Equals - Any Section)	$..[?(@author!='sam')]
Example6 (Number less than)	$.store.books[?(@.price<10)] Example7 (Regular Expression - Contains Pattern)=$.store.books[?(@author=~ /sam\|bob/ )]
Example8 (Regular Expression - Does Not Contain Pattern)	$.store.books[?(@author=~ /^((?!sam\|bob).)*$/ )]
Example9 (Regular Expression - Exact Pattern Match)	$.store.books[?(@author=~ /^sam\|bob$/ )]
Example10 (Regular Expression - Starts With)	$.store.books[?(@author=~ /^sam/ )]
Example11 (Regular Expression - Ends With)	$.store.books[?(@author=~ /sam$/ )]
Example12 (Between)	$.store.employees[?( @.hiredate>'2015-01-01' && @.hiredate<'2015-01-04' )]

Headers

Headers for Request. To enter multiple headers use double pipe or new line after each {header-name}:{value} pair

Generic Request (Bulk Write)

This is a generic endpoint for bulk write purpose. 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
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

Google Sheets Connector Examples for Informatica Connection

This page offers a collection of SQL examples designed for seamless integration with the ZappySys API ODBC Driver under ODBC Data Source (36/64) or ZappySys Data Gateway, enhancing your ability to connect and interact with Prebuilt Connectors effectively.

Query from default Spreadsheet [Read more...]

Gets data from Tab name Sheet1 from SpreadSheet Id defined in the connection

SELECT * FROM [Sheet1]

Query from User defined Spreadsheet [Read more...]

Gets data from Tab name 'Class Data' from user defined SpreadSheet Id

SELECT * FROM [Class Data] WITH(SpreadSheetId='1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms')

Query from custom cell range [Read more...]

In this example we query Tab name 'Class Data' and we are reading Range 'A4:GR'.

SELECT * FROM [Class Data]
WITH(
	  Range='A4:GR'  --cell range you like to query
	, ArrayTransEnableCustomColumns='False' --do not treat first row in range as Column Names
	, SpreadSheetId='1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms'  --enter sheet id you like to query. Comment this if you like to use default ID defined in the connection
)

Query from custom cell range [Read more...]

In this example we query Tab name 'Class Data' and we are reading Range 'A4:GR'.

UPDATE [Sheet1]
SET Col1='data-1', Col2=100, Col3='2020-01-31' --column names are ignored. Values are sent in the same order you supply and writtern to start cell specified by WriteRange
WITH(
	, WriteRange='G9' --start writing from here
	, SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU' --comment this to use default Sheet Id from connection setting
)

Update Multiple Rows in Sheet from CSV file [Read more...]

In this example we query CSV file as Source (Using ZapyySys CSV ODBC Driver) and updating Google Sheet in BULK.

UPDATE [Sheet1]
SOURCE(
 'ODBC',  --driver type ODBC | MSSQL | OLEDB
 'Driver={ZappySys CSV Driver};', --connection string for driver
 'SELECT * FROM $ WITH (SRC=''c:\data.csv'') ' --sql query for source data
)
WITH(
  WriteRange='G9', SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU' --comment this to use default Sheet Id from connection setting 
)

Update Values Vertically (Column Mode) [Read more...]

In this example we will write value as columns rather than row.

UPDATE [Sheet1]
SET Col1='Jan',Col2='Feb',Col3='Mar'
WITH(
  WriteRange='G9', 
  SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU', --comment this to use default Sheet Id from connection setting
  MajorDimension='COLUMNS' --write values vertical rather horizontal
)

Insert Data in Sheet1 [Read more...]

Insert row to tab name Sheet1 in SheetId defined in connection

INSERT INTO "Sheet1"("MyStringCol", "MyIntegerCol", "MyDateCol", "MyDecimalCol") VALUES('AAA',100,'2020-01-01',150.33)

Insert Multiple Rows in Sheet1 from CSV file [Read more...]

In this example we query CSV file as Source (Using ZapyySys CSV ODBC Driver) and updating Google Sheet in BULK.

INSERT INTO [Sheet1]
SOURCE(
 'ODBC', --driver type ODBC | MSSQL | OLEDB
 'Driver={ZappySys CSV Driver};', --connection string for driver
 'SELECT * FROM $ WITH (SRC=''c:\temp\dump.txt'') ' --sql query for source data
)
WITH(
  Range='G9', SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU' --comment this to use default Sheet Id from connection setting 
)

Write Values Vertically (Column Mode) [Read more...]

In this example we will write value as columns rather than row.

INSERT INTO [Sheet1](Col1,Col2,Col3) 
VALUES('Jan','Feb','Mar')
WITH(
  Range='G9', --starting cell to write data
  SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU', --comment this to use default Sheet Id from connection setting
  MajorDimension='COLUMNS' --write values vertical rather horizontal
)

Execute Action (i.e. Delete Rows / Columns) [Read more...]

This example shows how to execute various commands for sheet (i.e. copy, paste, formatting, delete, merge etc). In this example we are executing delete comamnds (i.e. deleteDimension commands). Notice we called same command twice becuase we want to delete two ranges (index 10-20 and 50-60). You can execute any valid command available by Google Sheets API. Here are some good examples of formatting commands https://developers.google.com/sheets/api/samples/formatting

SELECT * FROM batch_update_request
WITH(
	  Body='{
  "requests": [
    {
      "deleteDimension": {
        "range": {
          "sheetId": 0,
          "dimension": "ROWS",
          "startIndex": 10,
          "endIndex": 20
        }
      }
    } ,
    
   {
      "deleteDimension": {
        "range": {
          "sheetId": 0,
          "dimension": "ROWS",
          "startIndex": 50,
          "endIndex": 60
        }
      }
    }
    
  ]
}'
	, TabId='0' -- tab internal id (use UI to get this). 0 means first tab. Or check URL in browser and see at the end of URL #gid=xxxxxxx where xxxxxx is your tab id
	, SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU' --comment this to use default Sheet Id from connection setting
)

Conclusion

In this article we discussed how to connect to Google Sheets in Informatica and integrate data without any coding. Click here to Download Google Sheets Connector for Informatica 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 Informatica Documentation

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Download Google Sheets Connector for Informatica Documentation

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