Google Drive Connector for SQL Server In this article you will learn how to quickly and efficiently integrate Google Drive data in SQL Server without coding. We will use high-performance Google Drive Connector to easily connect to Google Drive and then access the data inside SQL Server. Read / write Google Drive data inside your app; perform many Google Drive operations without coding, just using easy to use high performance API Connector for Google Drive Let's follow the steps below to see how we can accomplish that! Download Documentation Google Drive Connector for SQL Server is based on ZappySys API Driver which is part of ODBC PowerPack. It is a collection of high-performance ODBC drivers that enable you to integrate data in SQL Server, SSIS, a programming language, or any other ODBC-compatible application. ODBC PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few.

Connect to Google Drive in other apps Connect to Google Drive in SSIS Connect to Google Drive in Power BI Connect to Google Drive in SSRS Connect to Google Drive in Informatica Connect to Google Drive in MS Access Connect to Google Drive in MS Excel Connect to Google Drive in SSAS Connect to Google Drive in C# Connect to Google Drive in Python Connect to Google Drive in JAVA Connect to Google Drive in Tableau Connect to Google Drive in SAP Crystal Reports Connect to Google Drive in Azure Data Factory (Pipeline) Connect to Google Drive in Azure Data Factory (SSIS) Connect to Google Drive in Talend Studio Connect to Google Drive in UiPath Connect to Google Drive in PowerShell Connect to Google Drive in ODBC

Video Tutorial - Integrate Google Drive data in SQL Server

This video covers following and more so watch carefully. After watching this video follow the steps described in this article.

• How to download / install required driver for Google Drive integration in SQL Server
• How to configure connection for Google Drive
• Features about API Driver (Authentication / Query Language / Examples / Driver UI)
• Using Google Drive Connection in SQL Server

Create Data Source in ZappySys Data Gateway based on API Driver

1. Download and install ZappySys ODBC PowerPack.

2. Search for gateway in start menu and Open ZappySys Data Gateway:
   

3. 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:
   

4. 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.

   GoogleDriveDSN

   
   

5. When the Configuration window appears give your data source a name if you haven't done that already, then select "Google Drive" from the list of Popular Connectors. If "Google Drive" 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:

   GoogleDriveDSN

   Google Drive

   

6. 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 Drive credentials
   

   Follow these steps on how to create Client Credentials (User Account principle) to authenticate and access Google Drive 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:

   1. First of all, go to Google API Console.

   2. Then click Select a project button and then click NEW PROJECT button:

      

   3. Name your project and click CREATE button:

      

   4. Wait until the project is created:

      
   5. Done! Let's proceed to the next step.

   Step-2: Enable Google Drive API

   In this step we will enable Google Drive API:

   1. Select your project on the top bar:

      

   2. Then click the "hamburger" icon on the top left and access APIs & Services:

      

   3. Now let's enable several APIs by clicking ENABLE APIS AND SERVICES button:

      

   4. In the search bar search for drive and then locate and select Google Drive API:

      

   5. Enable Google Drive API:

      
   6. Done! Let's proceed to the next step.

   Step-3: Create OAuth application

   1. First of all, click the "hamburger" icon on the top left and then hit VIEW ALL PRODUCTS:

      

   2. Then access Google Auth Platform to start creating an OAuth application:

      

   3. Start by pressing GET STARTED button:

      

   4. Next, continue by filling in App name and User support email fields:

      

   5. Choose Internal option, if it's enabled, otherwise select External:

      

   6. 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:

      

   7. Then add your contact Email address:

      

   8. Finally, check the checkbox and click CREATE button:

      
   9. Done! Let's create Client Credentials in the next step.

   Step-4: Create Client Credentials

   1. In Google Auth Platform, select Clients menu item and click CREATE CLIENT button:

      

   2. Choose Desktop app as Application type and name your credentials:

      

   3. Continue by opening the created credentials:

      

   4. Finally, copy Client ID and Client secret for the later step:

      
   5. Done! We have all the data needed for authentication, let's proceed to the last step!

   Step-5: Configure connection

   1. 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.

   2. Press Generate Token button to generate Access and Refresh Tokens.

   3. Finally, click Test Connection to confirm the connection is working.

   4. Done! Now you are ready to use Google Drive Connector!

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

   GoogleDriveDSN

   Google Drive

   User Account [OAuth]

   https://www.googleapis.com/

   Required Parameters
   UseCustomApp	Fill-in the parameter...
   Optional Parameters
   ClientId
   ClientSecret
   Scope	https://www.googleapis.com/auth/drive
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	403|429
   RetryCountMax	5
   RetryMultiplyWaitTime	True
   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 Drive credentials
   

   Follow these steps on how to create Service Account to authenticate and access Google Drive 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:

   1. First of all, go to Google API Console.

   2. Then click Select a project button and then click NEW PROJECT button:

      

   3. Name your project and click CREATE button:

      

   4. Wait until the project is created:

      
   5. Done! Let's proceed to the next step.

   Step-2: Enable Google Drive API

   In this step we will enable Google Drive API:

   1. Select your project on the top bar:

      

   2. Then click the "hamburger" icon on the top left and access APIs & Services:

      

   3. Now let's enable several APIs by clicking ENABLE APIS AND SERVICES button:

      

   4. In the search bar search for drive and then locate and select Google Drive API:

      

   5. Enable Google Drive API:

      
   6. 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:

   1. First of all, go to IAM & Admin in Google Cloud console:

      

   2. Once you do that, click Service Accounts on the left side and click CREATE SERVICE ACCOUNT button:

      

   3. Then name your service account and click CREATE AND CONTINUE button:

      

   4. Continue by clicking Select a role dropdown and start granting service account Project Viewer roles:

      

   5. Find Project group and select Viewer role:

      

   6. Finish adding roles by clicking CONTINUE button:

      
      You can always add or modify permissions later in IAM & Admin.

   7. Finally, in the last step, just click button DONE:

      

   8. 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 (JSON or P12 file) to the created Service Account:

   1. In Service Accounts open newly created service account:

      

   2. Next, copy email address of your service account for the later step:

      

   3. Continue by selecting KEYS tab, then press ADD KEY dropdown, and click Create new key menu item:

      

   4. Finally, select JSON (Engine v19+) or P12 option and hit CREATE button:

      
   5. Key file downloads into your machine. We have all the data needed for authentication, let's proceed to the last step!

   Step-5: Share Google Drive files and folders with Service Account

   Now it's time to grant Google Drive read/write permissions to the created service account:

   1. Login to https://drive.google.com with Google account credentials whose files/folders you want to share with the service account.

   2. Select the file or folder, right-click on it, click Share menu item, and then hit Share subitem:

      

   3. Share it with your service account:

      

   4. Grant it appropriate permissions, e.g. Viewer or Editor (for reading or writing):

      
   5. That's it! Let's proceed to the configuration!

   Step-6: Configure connection

   1. Now go to SSIS package or ODBC data source and configure these fields in Service 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. *.json or *.p12) field use downloaded certificate's file path.
   2. Done! Now you are ready to use Google Drive Connector!

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

   GoogleDriveDSN

   Google Drive

   Service Account [OAuth]

   https://www.googleapis.com/

   Required Parameters
   Service Account Email	Fill-in the parameter...
   Service Account Private Key Path (i.e. *.json OR *.p12)	Fill-in the parameter...
   Optional Parameters
   Scope	https://www.googleapis.com/auth/drive
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	403|429
   RetryCountMax	5
   RetryMultiplyWaitTime	True
   Impersonate As (Google account email address)

   

7. 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:
   

8. Click OK to finish creating the data source.

Read data in SQL Server using ZappySys Data Gateway

To read the data in SQL Server, the first thing you have to do is create a Linked Server:

1. First, let's open SQL Server Management Studio, create a new Linked Server, and start configuring it:

   

2. Then click on Security option and configure username we created in ZappySys Data Gateway in one of the previous steps:
   

3. Optional step. 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 [LINKED_SERVER_TO_GOOGLE_DRIVE_IN_DATA_GATEWAY] rather than OPENQUERY.
   If don't enabled it, you will encounter the Server 'LINKED_SERVER_TO_GOOGLE_DRIVE_IN_DATA_GATEWAY' is not configured for RPC error.

   Query Example:

   EXEC('SELECT * from Products') AT [LINKED_SERVER_TO_GOOGLE_DRIVE_IN_DATA_GATEWAY]

   ---

   If you plan to use 'INSERT INTO...EXEC(....) AT [LINKED_SERVER_TO_GOOGLE_DRIVE_IN_DATA_GATEWAY]' in that case you need to Disable Promotion of Distributed Transactions(MSDTC).
   If don't disabled it, you will encounter the The 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 [LINKED_SERVER_TO_GOOGLE_DRIVE_IN_DATA_GATEWAY]

4. Finally, open a new query and execute a query we saved in one of the previous steps:
   

   SELECT * FROM OPENQUERY([LINKED_SERVER_TO_GOOGLE_DRIVE_IN_DATA_GATEWAY], 'SELECT * FROM Products')

   

   SELECT * FROM OPENQUERY([LINKED_SERVER_TO_GOOGLE_DRIVE_IN_DATA_GATEWAY], 'SELECT * FROM Products')

Create Linked Server using Code

    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_GoogleDriveDSN', @droplogins='droplogins'

    --3. Create new linked server

    EXEC master.dbo.sp_addlinkedserver
      @server = N'LS_GoogleDriveDSN'  --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'GoogleDriveDSN' --Data source name you gave on Gateway service settings

    --4. Attach gateway login with linked server

    EXEC master.dbo.sp_addlinkedsrvlogin
    @rmtsrvname=N'LS_GoogleDriveDSN'  --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_GoogleDriveDSN', 'rpc', true;
    EXEC sp_serveroption 'LS_GoogleDriveDSN', 'rpc out', true;

    --Disable MSDTC - Below needed to support INSERT INTO from EXEC AT statement
    EXEC sp_serveroption 'LS_GoogleDriveDSN', '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_GoogleDriveDSN', 'query timeout', 1200;
    GO

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.

If you are using newer version of ZappySys Data Gateway then adding firewall rule is just a single click.

1. Search for gateway in start menu and open ZappySys Data Gateway.
2. 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).

1. Search for Windows Firewall Advanced Security in start menu.
2. Under Inbound Rules > Right click and click [New Rule] >> Click Next
3. Select Port on Rule Type >> Click Next
4. Click on TCP and enter port number under specified local port as 5000 (use different one if you changed Default port) >> Click Next
5. Select Profile (i.e. Private, Public) >> Click Next
6. Enter Rule name [i.e. ZappySys Data Gateway – Allow Inbound ] >> Click Next
7. Click OK to save the rule

OPENQUERY vs EXEC (handling larger SQL text)

So far we have seen examples of using OPENQUERY. It allows us to send pass-through query at remote server. The biggest limitation of OPENQUERY is it doesn't allow you to use variables inside SQL so often we have to use unpleasant looking dynamic SQL (Lots of tick, tick …. and escape hell). Well there is good news. With SQL 2005 and later you can use EXEC(your_sql) AT your_linked_server syntax . Disadvantage of EXEC AT is you cannot do SELECT INTO like OPENQUERY. Also you cannot perform JOIN like below in EXEC AT

    SELECT a.* FROM OPENQUERY([ls_GoogleDriveDSN],'select * from Customers') a
    JOIN OPENQUERY([ls_GoogleDriveDSN],'select * from Orders') b ON a.CustomerId=b.CustomerId;

    USE [master]
    GO
    --Replace YOUR_GATEWAY_USER, YOUR_GATEWAY_PASSWORD
    --Replace localhost with IP/Machine name if ZappySys Gateway Running on different machine other than SQL Server

    --Create new linked server
    EXEC master.dbo.sp_addlinkedserver
    @server = N'LS_GoogleDriveDSN'  --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'GoogleDriveDSN' --Data source name you gave on Gateway service settings

    --Attach gateway login with linked server
    EXEC master.dbo.sp_addlinkedsrvlogin
    @rmtsrvname=N'LS_GoogleDriveDSN'  --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_GoogleDriveDSN', 'rpc', true;
    EXEC sp_serveroption 'LS_GoogleDriveDSN', 'rpc out', true;
    --Disable MSDTC - Below needed to support INSERT INTO from EXEC AT statement
    EXEC sp_serveroption 'LS_GoogleDriveDSN', '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_GoogleDriveDSN', 'query timeout', 1200;
    GO

Fetching Tables / Columns using metadata stored procs

exec [linked-server-name].[gateway-datasource-name].[DATA].sp_tables

exec [linked-server-name].[gateway-datasource-name].[DATA].sp_columns_90 N'your-table-name'

    //List all tables
    exec [ls_GoogleDriveDSN].[GoogleDriveDSN].[DATA].sp_tables

    //List all columns and its type for specified table
    exec [ls_GoogleDriveDSN].[GoogleDriveDSN].[DATA].sp_columns_90 N'Account'

Known Issues

Let's explore some common problems that can occur when using OPENQUERY or Data Gateway connectivity.

SQL Native Client 11.0 not visible in the Providers dropdown (Linked Server Creation)

If you are following some screenshots / steps from our article it might say use SQL Native Client to create Linked Server to ZappySys Gateway but for some users they dont see that driver entry in the dropdown. This is due to the fact that Microsoft has deprecated SQL Native Client OLEDB Driver (SQLNCLI and SQLNCLI11) going forward after SQL 2022. So you need to use [Microsoft OLE DB Driver for SQL Server] instead (MSOLEDBSQL). Please follow all other instructions except the driver type selection, use new suggested driver instead if you dont see SQL Native Client.

Error: The data is invalid

There will be a time when, you may encounter unexpected errors like the ones listed below. These can include:

OLE DB provider "SQLNCLI11" for linked server "Zs_Csv" returned message "Deferred prepare could not be completed.".
OLE DB provider "SQLNCLI11" for linked server "Zs_Csv" returned message "Communication link failure".
Msg 13, Level 16, State 1, Line 0

Session Provider: The data is invalid.

There are few reasons for such error but below are two main reasons

• If the query length exceeds 2000 characters, as shown below, you might encounter this error.

  SELECT * FROM OPENQUERY(LS, '--some really long text more than 2000 chars--')

• If a query contains multiple OPENQUERY statements for JOINs or UNIONs, as shown below, it might fail due to a MARS compatibility issue where the gateway doesn't support parallel queries on a single connection.

  SELECT a.id, b.name from OPENQUERY(LS, 'select * from tbl1') a join OPENQUERY(LS, 'select * from tbl2') b on a.id=b.id

There are few ways to fix above error based on reason why you getting this error (i.e. Query Length issue OR JOIN/UNION in the same statement)

• If your query has long SQL (more than 2000 chars ) then reduce SQL length using different techniques
  • e.g. use SELECT * FROM MyTable rather than SELECT col1,col2… FROM MyTable
  • Use Meta Option in WITH clause if you must use column name. (e.g. SELECT * FROM MyTable WITH(META=’c:\meta.txt’) this way you can define column in Meta file rather than SELECT query. Check this article
  • Consider using EXECT (….) AT [Linked_Server_name] option rather than OPENQUERY so you can use very long SQL (See next section on EXEC..AT usecase)
  • Consider using Virtual Table / Stored Proc to wrap long SQL so your call is very small (where usp_GetOrdersByYear is custom proc created on ZappySys Driver UI)
    

    SELECT * FROM OPENQUERY(LS, 'EXEC usp_GetOrdersByYear 2021')

• If your query uses JOIN  / UNION with multiple OPENQUERY in same SQL then use multiple Linked servers (one for each OPENQUERY clause) as below.
  

  select a.id, b.name from OPENQUERY(LS_1, 'select * from tbl1') a join OPENQUERY(LS_2, 'select * from tbl2') b on a.id=b.id

Error: Unable to begin a distributed transaction (When INSERT + EXEC used)

If you try to use the EXEC statement to insert data into a table, as shown below, you might encounter the following error unless the MSDTC option is turned off.

INSERT INTO MyTable EXEC('select * from tbl') AT MyLinkedServer

"Protocol error in TDS stream"
The operation could not be performed because OLE DB provider "SQLNCLI11" for linked server "ls_Json2" was unable to begin a distributed transaction.
--OR--
The operation could not be performed because OLE DB provider "MSOLEDBSQL" for linked server "ls_Json" was unable to begin a distributed transaction.

Solution:
Method-1: Go to linked server properties | Server Options | Enable Promotion of Distributed Transaction | Change to false (Default is true)
Now your try your INSERT with EXEC AT and it should work

Method-2: Run the below command if you dont want to use UI

EXEC master.dbo.sp_serveroption @server=N'My_Linked_Server', @optname=N'remote proc transaction promotion', @optvalue=N'false'

Error: Cannot use OPENQUERY with JOIN / UNION

When you perform a JOIN or UNION ALL on the same Linked Server, it may fail to process sometimes because the Data Gateway doesn't support parallel query requests on the same connection. A workaround for that would be to create multiple linked servers for the same data source. Refer to the section above for the same workaround.

Error: Truncation errors due to data length mismatch

Many times, you may encounter truncation errors if a table column's length is less than the actual column size from the query column. To solve this issue, use the new version of Data Gateway and check the 'Use nvarchar(max) for string options' option found on the General Tab.

Performance Tips

Now, let's look at a few performance tips in this section.

Use INSERT INTO rather than SELECT INTO to avoid extra META request

We discussed some Pros and Cons of OPENQUERY vs EXEC (…) AT in previous section. One obvious advantage of EXEC (….) AT is it reduces number of requests to driver (It sends pass through query). With EXEC you cannot load data dynamically like SELECT INTO tmp FROM OPENQUERY. Table must exist before hand if you use EXEC.

INSERT INTO tmp_API_Report_Load(col1,col2)
EXEC('select col1,col2 from some_api_table') AT [API-LINKED-SERVER]
--OR--
INSERT INTO tmp_API_Report_Load(col1,col2)
select col1,col2 from OPENQUERY([API-LINKED-SERVER], 'select col1,col2 from some_api_table')

The advantage of this method is that your query speed will increase because the system only calls the API once when you use EXEC AT. In contrast, with OPENROWSET, the query needs to be called twice: once to obtain metadata and once to retrieve the data.

Use Cached Metadata if possible

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

1. Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
   

2. Enter the desired Procedure name and click on OK:
   

3. 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>';
   

   
   

4. 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';

   
   

5. 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([LINKED_SERVER_TO_GOOGLE_DRIVE_IN_DATA_GATEWAY], 'EXEC usp_get_orders @fromdate=''1996-07-30''')

   
   

6. 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.

1. Go to Custom Objects Tab and Click on Add button and Select Add Table:
   

2. Enter the desired Table name and click on OK:
   

3. And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.

4. 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'

   
   

5. 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"

   
   

6. 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([LINKED_SERVER_TO_GOOGLE_DRIVE_IN_DATA_GATEWAY], 'EXEC [usp_get_orders] ''1996-01-01''')

   
   

7. 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 Drive Connector

Google Drive Connector Examples for SQL Server 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.

SELECT * FROM Drive

SELECT * FROM SharedDrives --WITH(Query='name = "HR"')

SELECT * FROM SharedDrives WITH(Query='name = "HR"')

SELECT * FROM Files
WITH(
	--Query='name  contains "ZappySys*.*"', --includes files where name contains "zappysys" word
)

SELECT * FROM Files
WITH(
	--Query='name  contains "ZappySys*.*"', --includes files where name contains "zappysys" word
	DriveId='0AFWIggplk2z6Uk9PVA', 
	DriveType='drive',
	SupportsAllDrives='true',
	IncludeItemsFromAllDrives='true'
)

SELECT * FROM Files
WITH(
	--Query='name  contains "ZappySys*.*"', --includes files where name contains "zappysys" word
	DriveType='allDrives',
	SupportsAllDrives='true',
	IncludeItemsFromAllDrives='true'
)

SELECT * FROM list_parent_items
WITH(
	--Parent folder id (Keep it blank to scan all files in all folders - recursive
	  FolderId='1VK5NBhuOTaLEy1pBMsQtG672vrJNgxai'
	
	--List only from Trash (deleted files)
	, IncludeFromTrash='false'
	
	--Extra search criteria
	--, Query='or (name contains ''blog'') or (name contains ''test'') ' --extra query
	
	--Item type to return (default is all)
	--, ItemType='files'	-- (default=all) all, files, folders, sheets, documents, files_native, files_exclude_native
	--, ItemType='folders'
	--, ItemType='sheets'
	--, ItemType='files_native'
)

SELECT * FROM download_file
  WITH(Id='1PpE2eSi5faAnMwiSolwr34zA5MwOdR3D'	
      ,ResponseDataFile='C:\MyFiles\myfile.ext'
  )
  --You can get file Id by selecting from 'list_files' endpoint

SELECT * FROM download_file
WITH(
	  DriveType='drive' --or set 'user' for mydrive 
	, DriveId='0AFWIggplk2z6Uk9PVA'
	, Id='1hk7odj2Y2--yxN9DY0zW88hSnxqiyHq0' --file id
	, ResponseDataFile='c:\temp\dump.zip'
	--You can get file Id by selecting from 'list_files' endpoint
)

SELECT *
FROM upload_file_overwrite
WITH(
	  DriveId='' --for my drive keep blank
	--DriveId='0AC00HWQH144cUk9PVA' --team drive id (keep blank for uploading to my drive)
	
	, DiskFilePath='C:\temp\dump.csv' --source file path
	, FileName='dump.csv' --target file name
	, ParentFolderId='root'
	--OR--
	--, ParentFolderId='1PRySfNNjWIp9ZAnhPh-u9tKRj3QOETSq'

	--, FileOverwriteMode='AlwaysOverwrite'
	--OR--
	--, FileOverwriteMode='FailIfExists' 
	
	--, KeepRevisionForever='false'	
)

SELECT * FROM Files

UPDATE Files
  WITH (Id='1EVzXFVBQIh3LcJvfcLhI1UWhW3qUxFkM'
  ,DiskFilePath='C:\MyFiles\myfile.ext')
  --You can get file Id by selecting from 'list_files' endpoint

DELETE FROM Files
  WITH (Id='1gcu0hV34OTfgvcu9CFhr7Go4b35j5Mop')
  --You can get file Id by selecting from 'list_files' endpoint

DELETE FROM Files where Name='dump.csv' and Trashed=0 WITH(DriveId='0AC00HWQH144cUk9PVA', DriveType='drive')
  --You can get file Id by selecting from 'list_files' endpoint

INSERT INTO Files
  WITH (FileName='My filename'
      ,DiskFilePath='C:\MyFolder\Mymyfile.ext'
      ,ParentFolderId='root'
	  )
  --You can get ParentFolderId by selecting from 'list_folders' endpoint or just use 'root'

DELETE FROM Folders
  WITH (Id='1yDO11prsLH9DUrBTCadV6GGMJrITjF9I')
  --You can get folder Id by selecting from 'list_folders' endpoint

INSERT INTO Folders
  WITH (Name='My folder name'
      ,ParentFolderId='root')
  --You can get ParentFolderId by selecting from 'list_folders' endpoint or just use 'root'

SELECT * FROM FileInfo
  WITH (Id='1EVzXFVBQIh3LcJvfcLhI1UWhW3qUxFkM')
  --You can get file Id by selecting from 'list_files' endpoint

SELECT * FROM ItemsList

SELECT Id, Kind, Name, MimeType
  FROM list_items
  WITH (Query = 'name contains ''.txt''')

SELECT * FROM FilesList

SELECT * FROM FoldersList

SELECT * FROM Trash

SELECT * FROM Trash
				WITH(
				    DriveType='drive'
				   ,DriveId='1j0HFOP4gsoExxxxxx' 	--get id from select * from SharedDrives			   
				 )

DELETE FROM Trash

DELETE FROM Trash
				WITH(
				    DriveType='drive'
				   ,DriveId='1j0HFOP4gsoExxxxxx' --get id from select * from SharedDrives
				 )

SELECT "Status" FROM export_file
				WITH(
                      Id='1j0HFOP4gsoE-Zbf2xN3IsPSj8wgwNtIfyyvM1_BWkW4' --//google sheet id or document ID
					  
				   --,DriveId='xx your shared drive id'  --get id from select * from SharedDrives
				   --,DriveType='drive'
					   
					 , ExportAs='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'
				   --, ExportAs='application/pdf'
					 , ResponseDataFile='c:\temp\sheet1.xlsx'		
					 , FileOverwriteMode='AlwaysOverwrite' -- or try 'FailIfExists' or 'SkipIfExists'					 
				))
			 --You can export files from 'export_file' endpoint

Conclusion

In this article we showed you how to connect to Google Drive in SQL Server and integrate data without any coding, saving you time and effort. We encourage you to download Google Drive Connector for SQL Server and see how easy it is to use it for yourself or your team.

If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.

Download Google Drive Connector for SQL Server Documentation

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