Informatica Google Sheets Connector
In this article you will learn how to integrate
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.
Driver mentioned in this article 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.
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 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 JSON File 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)
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 JSON Files or REST API in Informatica.
- 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 JSON 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.
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.
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
To get data from GoogleSheets using Informatica we first need to create a DSN (Data Source) which will access data from GoogleSheets. 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
You should create System DSN if client application is launched under Windows System Account, e.g. as a Windows Service.
Launch ODBC Data Sources 32-bit version in case your client application is a 32-bit (x86) application (required only for System DSN).
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:GoogleSheetsDSNGoogle 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.Steps to get Google Sheets Credentials
This connection can be configured in two ways. Use Default App (Created by ZappySys) OR Use Custom App created by you.
To use minimum settings you can start with the ZappySys created App. Just change UseCustomApp=false on the properties grid so you dont need ClientID / Secret. When you click Generate Token you might see a warning about App is not trusted (Simply Click Advanced Link to expand hidden section and then click Go to App link to Proceed). To register a custom app, perform the following steps (Detailed steps found in the help link at the end):
- Go to Google API Console.
- From the Project Dropdown (usually found at the top bar) click Select Project.
- On the Project Popup click CREATE PROJECT.
- Once the project is created you can click Select Project to switch the context (You can click on Notification link or Choose from Top Dropdown).
- Click ENABLE APIS AND SERVICES.
- Now we need to Enable two APIs one by one (Sheets API and Drive API).
- Search Sheets. Select and click ENABLE.
- Search Drive. Select and click ENABLE.
- Go back to the main screen of the Google API Console
- Click the OAuth Consent Screen tab. Enter necessary details and Save.
- Click the Credentials tab.
- Click CREATE CREDENTIALS (some where in topbar) and select OAuth Client ID option.
- When prompted Select Application Type as Desktop App and click Create to receive your ClientID and Secret. You can use this information now to configure Connection with UseCustomApp=true.
Fill in all required parameters and set optional parameters if needed:GoogleSheetsDSNUser Account [OAuth]https://sheets.googleapis.com/v4/spreadsheets
Required Parameters UseCustomApp Fill in the parameter... Optional Parameters ClientId Fill in the parameter... ClientSecret Fill in the parameter... Scope Fill in the parameter... Default SpreadSheetId Fill in the parameter... Default Tab Name (i.e. Sheet1) Fill in the parameter... RetryMode Fill in the parameter... RetryStatusCodeList Fill in the parameter... RetryCountMax Fill in the parameter...Steps to get Google Sheets Credentials
Use these steps to authenticate as service account rather than Google / GSuite User. Learn more about service account here Basically to call Google API as Service account we need to perform following steps listed in 3 sections (Detailed steps found in the help link at the end)
Create ProjectFirst thing is create a Project so we can call Google API. Skip this section if you already have Project (Go to next section)
- Go to Google API Console
- From the Project Dropdown (usually found at the top bar) click Select Project
- On Project Propup click CREATE PROJECT
- Once project is created you can click Select Project to switch the context (You can click on Notification link or Choose from Top Dropdown)
- Click ENABLE APIS AND SERVICES
- Now we need to Enable two APIs one by one (Sheets API and Drive API).
- Search Sheets. Select and click ENABLE
- Search Drive. Select and click ENABLE
Create Service AccountOnce Project is created and APIs are enabled we can now create a service account under that project. Service account has its ID which looks like some email ID (not to confuse with Google /Gmail email ID)
- Go to Create Service Account
- From the Project Dropdown (usually found at the top bar) click Select Project
- Enter Service account name and Service account description
- For Role, do not select anything for now and Click Continue and then click Done. Next we will create Key.
Create KeyOnce service account is created we need to create key file (i.e. credentials).
- In the Cloud Console, click the email address for the service account that you created.
- Click Keys.
- Click Add key, then click Create new key.
- Click Create and select P12 format. A P12 key file is downloaded to your computer. We will use this file in our API connection.
- Click Close.
- Now you may use downloaded *.p12 key file as secret file and Service Account Email as Client ID (e.g. email@example.com ).
Add PermissionNow last thing is give read/write permission to Service Account. Basically you can create or open Google Sheet and add the Service Account as an editor to it as below.
- Copy the email address of your service account we created in previous step (its usually like this firstname.lastname@example.org).
- Create or select an existing Google Sheet.
- Navigate to Sheet for which you like to give read/write access to Service Account.
- Click on the Share button in the top right, and add the email address of the service account as an editor. Here is how to share file(s) with specific people. Juse share with Service Account (use Service Account Email found on previous section)
Fill in all required parameters and set optional parameters if needed:GoogleSheetsDSNService Account (Using Private Key File) [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... Optional Parameters Scope Fill in the parameter... Default SpreadSheetId Fill in the parameter... Default Tab Name (i.e. Sheet1) Fill in the parameter... RetryMode Fill in the parameter... RetryStatusCodeList Fill in the parameter... RetryCountMax Fill in the parameter...
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.
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
- Click New and select ODBC
- 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)
- 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 …
- 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.
- 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
- 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).
- Enter your userid , password and Schema name and click Connect to see tables
- Select Table name to and click OK import definition.
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
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')
- 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)
- 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)
- Select JSON connection for Source
- Change default Source query if needed. You can pass parameters to this query to make it dynamic.
- Select Target connection of SQL Target 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.
POST data to REST API 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
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Create Custom Store 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 Store 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 Store Procedure and write the your desired store procedure and Save it and it will create the custom store 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 Store 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';
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.
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"
ConclusionIn 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).
Actions supported by Google Sheets ConnectorGoogle 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.
|Range Start Index (starts from 0)||
|Range End Index (starts from 0)||
|Range for Table Boundary (Including Header)||
|Range for Data Cells||
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