Google Sheets Connector
Documentation
Version: 6
Documentation

Google Sheets Example - Insert Multiple Rows in Sheet1 from CSV file


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

The ZappySys API Driver is a user-friendly interface designed to facilitate the seamless integration of various applications with the Google Sheets API. With its intuitive design and robust functionality, the ZappySys API Driver simplifies the process of configuring specific API endpoints to efficiently read or write data from Google Sheets.

Following examples shows how to Insert Multiple Rows in Sheet1 from CSV file from Google Sheets using ZappySys API Driver. You can explore additional examples for the Azure DevOps Connector here.

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 
)

Microsoft SQL Server OPENQUERY Query - Google Sheets Example

Following examples shows how to Insert Multiple Rows in Sheet1 from CSV file in Microsoft SQL Server using OPENQUERY Query. This command facilitates the execution of pass-through queries on remote servers. Below example is demonstrating the usage of OPENQUERY.

SELECT * FROM OPENQUERY([MY_LINKED_SERVER_NAME], 
'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 
)');

Microsoft SQL Server EXEC Query - Google Sheets Example (Handling larger SQL text)

The major drawback of OPENQUERY is its inability to incorporate variables within SQL statements, which often leads to the use of cumbersome dynamic SQL (with numerous ticks and escape characters).

Fortunately, there is a solution. Starting with SQL 2005 and onwards, you can utilize the EXEC (your_sql) AT your_linked_server syntax. Following examples shows how to Insert Multiple Rows in Sheet1 from CSV file in Microsoft SQL Server using EXEC Query.

DECLARE @MyQyery NVARCHAR(MAX) = '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 
)';

EXE (@MyQyery) AT [MY_LINKED_SERVER_NAME];

Getting Started with Examples

ZappySys API Driver is a powerful software solution designed to facilitate the extraction and integration of data from a wide range of sources through APIs. Its intuitive design and extensive feature set make it an essential asset for any organization dealing with complex data integration tasks.

To get started with examples using ZappySys API Driver, please click on the following applications:

SQL Server Connect Google Sheets in SQL Server
Power BI Connect Google Sheets in Power BI
SSRS Connect Google Sheets in SSRS
Informatica Connect Google Sheets in Informatica
MS Access Connect Google Sheets in MS Access
MS Excel Connect Google Sheets in MS Excel
SSAS Connect Google Sheets in SSAS
C# Connect Google Sheets in C#
Python Connect Google Sheets in Python
JAVA Connect Google Sheets in JAVA
Tableau Connect Google Sheets in Tableau
SAP Crystal Reports Connect Google Sheets in SAP Crystal Reports
Azure Data Factory (Pipeline) Connect Google Sheets in Azure Data Factory (Pipeline)
Talend Studio Connect Google Sheets in Talend Studio
UiPath Connect Google Sheets in UiPath
PowerShell Connect Google Sheets in PowerShell
ODBC Connect Google Sheets in ODBC

Key features of the ZappySys API Driver include:

The API ODBC driver facilitates the reading and writing of data from numerous popular online services (refer to the complete list here) using familiar SQL language without learning complexity of REST API calls. The driver allows querying nested structure and output as a flat table. You can also create your own ODBC / Data Gateway API connector file and use it with this driver.

  1. Intuitive Configuration: The interface is designed to be user-friendly, enabling users to easily set up the specific API endpoints within Google Sheets without requiring extensive technical expertise or programming knowledge.

  2. Customizable Endpoint Setup: Users can conveniently configure the API endpoint settings, including the HTTP request method, endpoint URL, and any necessary parameters, to precisely target the desired data within Google Sheets.

  3. Data Manipulation Capabilities: The ZappySys API Driver allows for seamless data retrieval and writing, enabling users to fetch data from Google Sheets and perform various data manipulation operations as needed, all through an intuitive and straightforward interface.

  4. Secure Authentication Integration: The driver provides secure authentication integration, allowing users to securely connect to the Google Sheets API by inputting the necessary authentication credentials, such as API tokens or other authentication keys.

  5. Error Handling Support: The interface is equipped with comprehensive error handling support, ensuring that any errors or exceptions encountered during the data retrieval or writing process are efficiently managed and appropriately communicated to users for prompt resolution.

  6. Data Visualization and Reporting: The ZappySys API Driver facilitates the seamless processing and presentation of the retrieved data from Google Sheets, enabling users to generate comprehensive reports and visualizations for further analysis and decision-making purposes.

Overall, the ZappySys API Driver serves as a powerful tool for streamlining the integration of applications with Google Sheets, providing users with a convenient and efficient way to access and manage data, all through a user-friendly and intuitive interface.