Google Sheets Connector for Tableau
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 Tableau. Follow the steps below to see how we would accomplish that. 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
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Create Data Source in ZappySys Data Gateway based on API Driver
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Download and install ZappySys ODBC PowerPack.
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Search for gateway in start menu and Open ZappySys Data Gateway:
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Go to Users Tab to add our first Gateway user. Click Add; we will give it a name tdsuser and enter password you like to give. Check Admin option and click OK to save. We will use these details later when we create linked server:
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Now we are ready to add a data source. Click Add, give data source a name (Copy this name somewhere, we will need it later) and then select Native - ZappySys API Driver. Finally, click OK. And it will create the Data Set for it and open the ZS driver UI.
GoogleSheetsDSN
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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. Later on you can use this information now to configure Connection with UseCustomApp=true.
NOTE: If you are planning to use your current data connection/token for automated processes, we recommend that you use a generic account for token generation when the login box appears (e.g. sales_automation@mycompany.com instead of bob_smith@mycompany.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 fail. Another potentially unwanted effect of using a personal token is incorrect logging; the API calls (e.g. Read, Edit, Delete, Upload) made with that token will record the specific user as performing the calls instead of an automated process.
- Go to OAuth Consent Screen tab. Under Publishing Status click PUBLISH APP to ensure your refresh token doesnt expire often. If you planning to use App for Private use then do not have to worry about Verification Status after Publish.
Fill in all required parameters and set optional parameters if needed:
GoogleSheetsDSNGoogle SheetsUser Account [OAuth]https://sheets.googleapis.com/v4/spreadsheetsRequired Parameters UseCustomApp Fill in the parameter... Default SpreadSheetId Fill in the parameter... Optional Parameters ClientId Fill in the parameter... ClientSecret Fill in the parameter... Scope 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... Redirect URL (Only for Web App) 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 Project
First 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 Account
Once 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 Key
Once 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. some-service-account-name@your-project-id.iam.gserviceaccount.com ).
Add Permission
Now 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 some-service-account-name@your-project-id.iam.gserviceaccount.com).
- 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:
GoogleSheetsDSNGoogle SheetsService Account (Using Private Key File) [OAuth]https://sheets.googleapis.com/v4/spreadsheetsRequired 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 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:
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Click OK to finish creating the data source.
Read data in SQL Server from the ZappySys Data Gateway
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To read the data in SQL Server the first thing you have to do is create a Linked Server. Go to SQL Server Management Studio and configure it in a similar way:
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Then click on Security option and configure username we created in ZappySys Data Gateway in one of the previous steps:
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Optional: Under the Server Options, Enable RPC and RPC Out and Disable Promotion of Distributed Transactions(MSDTC).
You need to enable RPC Out if you plan to use
EXEC(...) AT [MY_LINKED_SERVER_NAME]
rather than OPENQUERY.
If don't enabled it, you will encounter theServer 'MY_LINKED_SERVER_NAME' is not configured for RPC
error.Query Example:
EXEC('Select * from Products') AT [MY_LINKED_SERVER_NAME]
If you plan to use
'INSERT INTO...EXEC(....) AT [MY_LINKED_SERVER_NAME]'
in that case you need to Disable Promotion of Distributed Transactions(MSDTC).
If don't disabled it, you will encounter theThe operation could not be performed because OLE DB provider "SQLNCLI11" for linked server "MY_LINKED_SERVER_NAME" was unable to begin a distributed transaction.
error.Query Example:
Insert Into dbo.Products EXEC('Select * from Products') AT [MY_LINKED_SERVER_NAME]
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Finally, open a new query and execute a query we saved in one of the previous steps:
SELECT * FROM OPENQUERY([MY_LINKED_SERVER_NAME], 'SELECT * FROM Products');
Create Linked Server using Code
In previous section you saw how to create a Linked Server from UI. You can do similar action by code too (see below). Run below script after changing necessary parameters. Assuming your Data Source name on ZappySys Data Gateway UI is 'GoogleSheetsDSN'
USE [master]
GO
--///////////////////////////////////////////////////////////////////////////////////////
--Run below code in SSMS to create Linked Server and use ZappySys Drivers in SQL Server
--///////////////////////////////////////////////////////////////////////////////////////
//Replace YOUR_GATEWAY_USER, YOUR_GATEWAY_PASSWORD
//Replace localhost with IP/Machine name if ZappySys Gateway Running on different machine other than SQL Server
//Replace Port 5000 if you configured gateway on a different port
--1. Configure your gateway service as per this article https://zappysys.com/links?id=10036
--2. Make sure you have SQL Server Installed. You can download FREE SQL Server Express Edition from here if you dont want to buy Paid version https://www.microsoft.com/en-us/sql-server/sql-server-editions-express
--Uncomment below if you like to drop linked server if it already exists
--EXEC master.dbo.sp_dropserver @server=N'LS_GoogleSheetsDSN', @droplogins='droplogins'
--3. Create new linked server
EXEC master.dbo.sp_addlinkedserver
@server = N'LS_GoogleSheetsDSN' --Linked server name (this will be used in OPENQUERY sql
, @srvproduct=N''
---- For MSSQL 2012,2014,2016 and 2019 use below (SQL Server Native Client 11.0)---
, @provider=N'SQLNCLI11'
---- For MSSQL 2022 or higher use below (Microsoft OLE DB Driver for SQL Server)---
--, @provider=N'MSOLEDBSQL'
, @datasrc=N'localhost,5000' --//Machine / Port where Gateway service is running
, @provstr=N'Network Library=DBMSSOCN;'
, @catalog=N'GoogleSheetsDSN' --Data source name you gave on Gateway service settings
--4. Attach gateway login with linked server
EXEC master.dbo.sp_addlinkedsrvlogin
@rmtsrvname=N'LS_GoogleSheetsDSN' --linked server name
, @useself=N'False'
, @locallogin=NULL
, @rmtuser=N'YOUR_GATEWAY_USER' --enter your Gateway user name
, @rmtpassword='YOUR_GATEWAY_PASSWORD' --enter your Gateway user's password
GO
--5. Enable RPC OUT (This is Optional - Only needed if you plan to use EXEC(...) AT YourLinkedServerName rather than OPENQUERY
EXEC sp_serveroption 'LS_GoogleSheetsDSN', 'rpc', true;
EXEC sp_serveroption 'LS_GoogleSheetsDSN', 'rpc out', true;
--Disable MSDTC - Below needed to support INSERT INTO from EXEC AT statement
EXEC sp_serveroption 'LS_GoogleSheetsDSN', 'remote proc transaction promotion', false;
--Increase query timeout if query is going to take longer than 10 mins (Default timeout is 600 seconds)
--EXEC sp_serveroption 'LS_GoogleSheetsDSN', 'query timeout', 1200;
GO
Create View in SQL Server
Finally, use this or similar query in a view or stored procedure, which you will be able to use in Tableau. We will create a view to return invoices:
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CREATE VIEW vwApiInvoices AS SELECT * FROM OPENQUERY([MY_LINKED_SERVER_NAME], 'SELECT * FROM Invoices')
Read data in Tableau from SQL Server
Actually, we will be getting data from SQL Server which in turn will be getting data from ZappySys Data Gateway data source. Let's begin and see how to accomplish that:
- Open Tableau Desktop and click File > New
- To create new Connection click More > Microsoft SQL Server > Enter your credentials to connect to SQL Server (in our example before we used tdsuser):
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Once connection is created for SQL Server we can read Google Sheets data 3 different ways:
- Query View which contains OPENQUERY to Linked Server for Google Sheets data
- Use direct SQL Query using OPENQUERY
- Use Stored Procedure (Mostly useful to parameterize calls
- See below example to pull data from Google Sheets in Tableau using SQL View approach:
- Once your data sources are created you can click on Sheet1 and drag fields to create visualizations for Tableau Dashboard:
Passing Parameters to Google Sheets calls in Tableau (Dynamic SQL)
Now let's look at scenario where you have to pass parameters to build Dynamic Dashboard. You can try to insert Parameters in your Direct SQL when you build Dynamic SQL but we found some issues with that so we are going to suggest Stored Procedure approach. For more information on Known issue on Dynamic Metadata Check this post.-
First lets create a stored procedure in SQL Server for Parameter Example. Notice how we added WITH RESULT SETS in the code to describe metadata.
--DROP PROC dbo.usp_GetInvoicesByCountry --GO /* Purpose: Parameterize Google Sheets call via SQL. Call ZappySys Drivers inside SQL Server. */ CREATE PROC dbo.usp_GetInvoicesByCountry @country varchar(100) AS DECLARE @sql varchar(max) --//Escape single ticks carefully SET @sql = 'SELECT OrderID,CustomerID,Country,Quantity FROM $ WITH (Src=''https://services.odata.org/V3/Northwind/Northwind.svc/Invoices?$format=json@filter=Country eq '+ @country +''' ,Filter=''$.value[*]'' ,DataFormat=''OData'' )' DECLARE @sqlFull varchar(max) SET @sqlFull='SELECT * FROM OPENQUERY( [LS] , ''' + REPLACE( @sql, '''', '''''' ) + ''' )' PRINT @sqlFull --//For DEBUG purpose EXECUTE (@sqlFull) WITH RESULT SETS ( (OrderID int,CustomerID varchar(100),Country varchar(100),Quantity int) --//describe first result. If you don't do this then wont work in Tableau ) GO -- Example call EXEC dbo.usp_GetInvoicesByCountry @country='Germany'
- Once you create a stored procedure go to Tableau datasource and select Database which contains the stored procedure we just created.
- Now find your stored proc and drag it on the datasource pane. You will see parameters UI as below. You can create new parameter - Select New Parameter under Value Column.
- Thats it now you can reuse your parameterized datasource anywhere in Dashboard.
- If you have need to select Parameters from predefined values rather than free text then edit your parameter and select List option. Define values you like to select from as below.
- When you create Tableau Dashboard you will see Parameter dropdown (If you selected List) elase you may see Textbox to enter custom value.
Firewall settings
So far we have assumed that Gateway is running on the same machine as SQL Server. However there will be a case when ZappySys ODBC PowerPack is installed on a different machine than SQL Server. In such case you may have to perform additional Firewall configurations. On most computers firewall settings wont allow outside traffic to ZappySys Data Gateway. In such case perform following steps to allow other machines to connect to Gateway.
Method-1 (Preferred)If you are using newer version of ZappySys Data Gateway then adding firewall rule is just a single click.
- Search for gateway in start menu and open ZappySys Data Gateway.
- Go to Firewall Tab and click Add Firewall Rule button like below. This will create Firewall rule to all Inbound Traffic on Port 5000 (Unless you changed it).
- Search for Windows Firewall Advanced Security in start menu.
- Under Inbound Rules > Right click and click [New Rule] >> Click Next
- Select Port on Rule Type >> Click Next
- Click on TCP and enter port number under specified local port as 5000 (use different one if you changed Default port) >> Click Next
- Select Profile (i.e. Private, Public) >> Click Next
- Enter Rule name [i.e. ZappySys Data Gateway – Allow Inbound ] >> Click Next
- Click OK to save the rule
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
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Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
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Enter the desired Procedure name and click on OK:
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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>';
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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';
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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''')
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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.
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Go to Custom Objects Tab and Click on Add button and Select Add Table:
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Enter the desired Table name and click on OK:
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And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.
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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'
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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"
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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''')
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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.Parameter | Description |
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Range |
|
Parameter | Description |
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Range |
|
Parameter | Description | ||||||
---|---|---|---|---|---|---|---|
Range Type |
|
||||||
Range Start Index (starts from 0) |
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Range End Index (starts from 0) |
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TabId |
|
Parameter | Description |
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TabId |
|
Parameter | Description |
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NewTabName |
|
InitialRowCount |
|
InitialColumnCount |
|
TabColorRedValue |
|
TabColorGreenValue |
|
TabColorBlueValue |
|
Parameter | Description |
---|---|
Request Body |
|
TabId |
|
Parameter | Description |
---|---|
Range for Table Boundary (Including Header) |
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Range for Data Cells |
|
Parameter | Description |
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Start Range |
|
Parameter | Description | ||||||
---|---|---|---|---|---|---|---|
SpreadSheetId |
|
Parameter | Description |
---|---|
Url |
|
Body |
|
IsMultiPart |
|
Filter |
|
Headers |
|
Google Sheets Connector Examples for Tableau 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 Tableau and integrate data without any coding. Click here to Download Google Sheets Connector for Tableau 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).
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