Azure Data Factory (ADF) ManagedEngine ServiceDesk Plus (Zoho) Connector In this article you will learn how to integrate ManagedEngine ServiceDesk Plus (Zoho) data to Azure Data Factory (ADF) without coding in just a few clicks (live / bi-directional connection to ManagedEngine ServiceDesk Plus (Zoho)). ManagedEngine (Zoho) ServiceDesk Plus Connector can be used to integrate ServiceDesk Plus data in your App / BI Tools. You can read/write Requests, Tasks, Comments, Worklogs and many other items.. Using ManagedEngine ServiceDesk Plus (Zoho) Connector you will be able to connect, read, and write data from within Azure Data Factory (ADF). Follow the steps below to see how we would accomplish that. Download  Help File  Buy  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. ODBC PowerPack - System Requirements and Installation Getting Started - Using ODBC PowerPack ODBC API Driver Help File

See also Connect ManagedEngine ServiceDesk Plus (Zoho) in SSIS Connect ManagedEngine ServiceDesk Plus (Zoho) in SQL Server Connect ManagedEngine ServiceDesk Plus (Zoho) in Power BI Connect ManagedEngine ServiceDesk Plus (Zoho) in SSRS Connect ManagedEngine ServiceDesk Plus (Zoho) in Informatica Connect ManagedEngine ServiceDesk Plus (Zoho) in MS Access Connect ManagedEngine ServiceDesk Plus (Zoho) in MS Excel Connect ManagedEngine ServiceDesk Plus (Zoho) in SSAS Connect ManagedEngine ServiceDesk Plus (Zoho) in C# Connect ManagedEngine ServiceDesk Plus (Zoho) in Python Connect ManagedEngine ServiceDesk Plus (Zoho) in JAVA Connect ManagedEngine ServiceDesk Plus (Zoho) in Tableau Connect ManagedEngine ServiceDesk Plus (Zoho) in SAP Crystal Reports Connect ManagedEngine ServiceDesk Plus (Zoho) in ODBC

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

To get data from ManagedEngineServiceDeskPlus(Zoho) using Azure Data Factory (ADF) we first need to create a DSN (Data Source) which will access data from ManagedEngineServiceDeskPlus(Zoho). We will later be able to read data using Azure Data Factory (ADF). Perform these steps:

1. Install ZappySys ODBC PowerPack.

2. Open ODBC Data Sources (x64):
   

3. Create a System Data Source (System DSN) based on ZappySys API Driver

   ZappySys API Driver

   
   You should create a System DSN (instead of a User DSN) if the client application is launched under a Windows System Account, e.g. as a Windows Service. If the client application is 32-bit (x86) running with a System DSN, use ODBC Data Sources (32-bit) instead of the 64-bit version. Furthermore, a User DSN may be created instead, but then you will not be able to use the connection from Windows Services (or any application running under a Windows System Account).

4. When the Configuration window appears give your data source a name if you haven't done that already, then select "ManagedEngine ServiceDesk Plus (Zoho)" from the list of Popular Connectors. If "ManagedEngine ServiceDesk Plus (Zoho)" 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:

   ManagedEngineServiceDeskPlus(Zoho)DSN

   ManagedEngine ServiceDesk Plus (Zoho)

   

5. 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.

    OAuth [OAuth]

   OAuth Connection for ManageEngine ServiceDesk Plus API [API Help..]

   Steps to get ManagedEngine ServiceDesk Plus (Zoho) Credentials : OAuth [OAuth]
   To register custom App, perform the following steps (Detailed steps found in the help link at the end)

   1. Go to Zoho API Console
   2. Click Add Client link
   3. Select Server-based Applications option
   4. Enter desired client name (Display purpose only)
   5. Enter some URL for Company homepage
   6. For Authorized Redirect URI enter https://zappysys.com/oauth (Or enter your own but we recommend using ZappySys one if possible). This URL must match on Zoho Connector UI.
   7. Click CREATE.
   8. Copy Client ID and Secret and paste on Zoho Connector UI.

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

   ManagedEngineServiceDeskPlus(Zoho)DSN

   ManagedEngine ServiceDesk Plus (Zoho)

   OAuth [OAuth]

   https://sdpondemand.manageengine.com/api/v3

   Required Parameters
   Optional Parameters
   ClientId	Fill in the parameter...
   ClientSecret	Fill in the parameter...
   Permissions	Fill in the parameter...
   AccountUrl	Fill in the parameter...
   RedirectUrl	Fill in the parameter...
   RetryMode	Fill in the parameter...
   RetryStatusCodeList	Fill in the parameter...
   RetryCountMax	Fill in the parameter...
   RetryMultiplyWaitTime	Fill in the parameter...

   

6. 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:
   

7. Click OK to finish creating the data source.

Read data in Azure Data Factory (ADF) from ODBC datasource (ManagedEngine ServiceDesk Plus (Zoho))

1. To start press New button:

   

2. Select "Azure, Self-Hosted" option:

   

3. Select "Self-Hosted" option:

   

4. Set a name, we will use "OnPremisesRuntime":

   

5. Download and install Microsoft Integration Runtime.

6. Launch Integration Runtime and copy/paste Authentication Key from Integration Runtime configuration in Azure Portal:

   

7. After finishing registering the Integration Runtime node, you should see a similar view:

   

8. Go back to Azure Portal and finish adding new Integration Runtime. You should see it was successfully added:

   

9. Go to Linked services section and create a new Linked service based on ODBC:

   

10. Select "ODBC" service:

    

11. Configure new ODBC service. Use the same DSN name we used in the previous step and copy it to Connection string box:

    ManagedEngineServiceDeskPlus(Zoho)DSN

    DSN=ManagedEngineServiceDeskPlus(Zoho)DSN

    

12. For created ODBC service create ODBC-based dataset:

    

13. Go to your pipeline and add Copy data connector into the flow. In Source section use OdbcDataset we created as a source dataset:

    

14. Then go to Sink section and select a destination/sink dataset. In this example we use precreated AzureBlobStorageDataset which saves data into an Azure Blob:

    

15. Finally, run the pipeline and see data being transferred from OdbcDataset to your destination dataset:

    

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

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 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>';
   

   
   

4. 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';

   
   

5. Let's generate the SQL Server Query Code to make the API call using store 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''')

   
   

6. Now go to SQL served and execute that query and it will make the API call using store 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 store 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''')

   
   

7. Now go to SQL served and execute that query and it will make the API call using store procedure and provide you the response.
   

Conclusion

Download ManagedEngine ServiceDesk Plus (Zoho) Connector for Azure Data Factory (ADF) Documentation 

Actions supported by ManagedEngine ServiceDesk Plus (Zoho) Connector

ManagedEngine ServiceDesk Plus (Zoho) Connector Examples for Azure Data Factory (ADF) 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 Requests

SELECT * FROM Requests Where id=111112345

DELETE FROM Requests Where id=111112345

SELECT * FROM get_Request_Tasks WITH (RequestId=111112345)

SELECT * FROM get_Request_Task_Details  (RequestId=111112345, TaskId=222212345)

SELECT * FROM get_Request_Task_Comments  (RequestId=111112345, TaskId=222212345)

SELECT * FROM get_Request_Task_Comment_Details (RequestId=111112345, TaskId=222212345, CommentId=333312345)

SELECT * FROM get_Request_Notes WITH (RequestId=111112345)

SELECT * FROM get_Request_Note_Details (RequestId=111112345, NoteId=222212345)

SELECT * FROM get_Request_Worklogs WITH (RequestId=111112345)

SELECT * FROM get_Request_Worklog_Details (RequestId=111112345, WorklogId=222212345)

SELECT * FROM get_Request_Task_Worklogs WITH (RequestId=111112345, TaskId=22222345)

SELECT * FROM get_Request_Task_Worklog_Details (RequestId=111112345, TaskId=22222345, WorklogId=333312345)

Other App Integration scenarios for ManagedEngine ServiceDesk Plus (Zoho)

SSIS

SQL Server

Power BI

SSRS

Informatica

MS Access

MS Excel

SSAS

C#

Python

JAVA

Tableau

SAP Crystal Reports

ODBC

Other Connectors for Azure Data Factory (ADF)

Zendesk

Azure DevOps

ManagedEngine ServiceDesk Plus (Zoho)

FastSpring

Zoho CRM

Hubspot

Google Sheets

Stripe

YouTube

Google BigQuery

OneDrive

OData

Amazon Ads

Mailchimp

Jira

Zoho SalesIQ

Outlook Mail (Office 365)

Zoom

Cosmos DB

Shopify

Nativo

Power BI

Google Drive

SharePoint Online

Amazon MWS

ServiceNow

ElasticSearch

Google Calendar

DropBox

REST API

JSON

JSON File

XML

SOAP

XML File

JDBC-ODBC Bridge

Salesforce

CSV

Amazon S3 JSON File

Amazon S3 XML File

Amazon S3 CSV File

Azure Blob JSON File

Azure Blob XML File

Azure Blob CSV File

FTP/SFTP JSON File

FTP/SFTP XML File

FTP/SFTP CSV File

Download ManagedEngine ServiceDesk Plus (Zoho) Connector for Azure Data Factory (ADF) Documentation 

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