Zendesk Connector for Azure Data Factory (Pipeline) Zendesk Connector can be used to integrate Zendesk REST API in your App / BI Tools. You can read/write data about Tickets, Activity, Users, Organizations and more. In this article you will learn how to quickly and efficiently integrate Zendesk data in Azure Data Factory (Pipeline) without coding. We will use high-performance Zendesk Connector to easily connect to Zendesk and then access the data inside Azure Data Factory (Pipeline). Let's follow the steps below to see how we can accomplish that! Download Documentation Zendesk Connector for Azure Data Factory (Pipeline) 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 Zendesk in other apps Connect to Zendesk in SSIS Connect to Zendesk in SQL Server Connect to Zendesk in Power BI Connect to Zendesk in SSRS Connect to Zendesk in Informatica Connect to Zendesk in MS Access Connect to Zendesk in MS Excel Connect to Zendesk in SSAS Connect to Zendesk in C# Connect to Zendesk in Python Connect to Zendesk in JAVA Connect to Zendesk in Tableau Connect to Zendesk in SAP Crystal Reports Connect to Zendesk in Azure Data Factory (SSIS) Connect to Zendesk in Talend Studio Connect to Zendesk in UiPath Connect to Zendesk in PowerShell Connect to Zendesk in ODBC

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

Step-by-step instructions

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

1. Download and install ODBC PowerPack.

2. Open ODBC Data Sources (x64):

   

3. Create a User data source (User DSN) based on ZappySys API Driver

   ZappySys API Driver

   
   • Create and use User DSN if the client application is run under a User Account. This is an ideal option in design-time, when developing a solution, e.g. in Visual Studio 2019. Use it for both type of applications - 64-bit and 32-bit.
   • Create and use System DSN if the client application is launched under a System Account, e.g. as a Windows Service. Usually, this is an ideal option to use in a production environment. Use ODBC Data Source Administrator (32-bit), instead of 64-bit version, if Windows Service is a 32-bit application.
   Azure Data Factory (Pipeline) uses a Service Account, when a solution is deployed to production environment, therefore for production environment you have to create and use a System DSN.

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

   ZendeskDSN

   Zendesk

   

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.

    Token Authentication [Http]

   Authenticate using Static Token instead of userid / password ([Token Access] option must be enabled under Admin Console > Channel > API > Settings and then Click [ADD API Token] to generate new token. These settings typically found here https://YOUR-SUB-DOMAIN.zendesk.com/agent/admin/api/settings [API reference]

   Please refer to below API reference (external site) link for Token Authentication [Http]

   https://developer.zendesk.com/rest_api/docs/support/introduction#api-token

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

   ZendeskDSN

   Zendesk

   Token Authentication [Http]

   https://[$Domain$].zendesk.com/api/v2

   Required Parameters
   Sub Domain (e.g. mycompany)	Fill-in the parameter...
   UserId	Fill-in the parameter...
   Token	Fill-in the parameter...
   Optional Parameters
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	429
   RetryCountMax	5
   RetryMultiplyWaitTime	True

   

    OAuth Authentication [OAuth]

   OAuth App must be created under Admin Console > Channel > API > Settings. These settings typically found here https://YOUR-SUB-DOMAIN.zendesk.com/agent/admin/api/oauth_clients [API reference]

   Please refer to below API reference (external site) link for OAuth Authentication [OAuth]

   https://developer.zendesk.com/rest_api/docs/support/introduction#oauth-access-token

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

   ZendeskDSN

   Zendesk

   OAuth Authentication [OAuth]

   https://[$Domain$].zendesk.com/api/v2

   Required Parameters
   Sub Domain (e.g. mycompany)	Fill-in the parameter...
   ClientId	Fill-in the parameter...
   ClientSecret	Fill-in the parameter...
   Permissions	Fill-in the parameter...
   RedirectUrl	Fill-in the parameter...
   Optional Parameters
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	429
   RetryCountMax	5
   RetryMultiplyWaitTime	True

   

    UserID/Password Authentication (2FA must be OFF) [Http]

   Authenticate using your userid / password (2FA must be OFF and [Password Access] option must be enabled under Admin Console > Channel > API > Settings. These settings typically found here https://YOUR-SUB-DOMAIN.zendesk.com/agent/admin/api/settings [API reference]

   Please refer to below API reference (external site) link for UserID/Password Authentication (2FA must be OFF) [Http]

   https://developer.zendesk.com/rest_api/docs/support/introduction#basic-authentication.

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

   ZendeskDSN

   Zendesk

   UserID/Password Authentication (2FA must be OFF) [Http]

   https://[$Domain$].zendesk.com/api/v2

   Required Parameters
   Sub Domain (e.g. mycompany)	Fill-in the parameter...
   UserName (2FA Must be OFF)	Fill-in the parameter...
   Password	Fill-in the parameter...
   Optional Parameters
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	429
   RetryCountMax	5
   RetryMultiplyWaitTime	True

   

6. Once the data source connection has been configured, it's time to configure the SQL query. Select the Preview tab and then click Query Builder button to configure the SQL query:

   

   ZappySys API Driver - Zendesk

   Zendesk Connector can be used to integrate Zendesk REST API in your App / BI Tools. You can read/write data about Tickets, Activity, Users, Organizations and more.

   ZendeskDSN

   

7. Start by selecting the Table or Endpoint you are interested in and then configure the parameters. This will generate a query that we will use in Azure Data Factory (Pipeline) to retrieve data from Zendesk. Hit OK button to use this query in the next step.

   SELECT * FROM Tickets

   
   Some parameters configured in this window will be passed to the Zendesk API, e.g. filtering parameters. It means that filtering will be done on the server side (instead of the client side), enabling you to get only the meaningful data much faster.

8. Now hit Preview Data button to preview the data using the generated SQL query. If you are satisfied with the result, use this query in Azure Data Factory (Pipeline):

   

   ZappySys API Driver - Zendesk

   Zendesk Connector can be used to integrate Zendesk REST API in your App / BI Tools. You can read/write data about Tickets, Activity, Users, Organizations and more.

   ZendeskDSN

   SELECT * FROM Tickets

   
   You can also access data quickly from the tables dropdown by selecting <Select table>.
   A WHERE clause, LIMIT keyword will be performed on the client side, meaning that the whole result set will be retrieved from the Zendesk API first, and only then the filtering will be applied to the data. If possible, it is recommended to use parameters in Query Builder to filter the data on the server side (in Zendesk servers).

9. Click OK to finish creating the data source.

Video Tutorial

Read data in Azure Data Factory (ADF) from ODBC datasource (Zendesk)

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:

    ZendeskDSN

    DSN=ZendeskDSN

    

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:

    

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([LS_TO_ZENDESK_IN_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([LS_TO_ZENDESK_IN_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 Zendesk Connector

Zendesk Connector Examples for Azure Data Factory (Pipeline) 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 Tickets

SELECT * from get_tickets_by_ids
WITH(ticket_ids='104861,104860')

SELECT * from Tickets
WHERE ID=104861

SELECT * FROM get_tickets_incr
WITH(
	    start_time='2012-01-31T00:00:00' --modified after exact date / time (yyyy-MM-dd or yyyy-MM-ddTHH:mm:ss)
		
	  --start_time='yesterday' --modified after yesterday
	  --start_time='now-5h' --modified after current time minus 5 hours
	  --start_time='today-60s' --modified after today minus 60 seconds
	  --start_time='weekstart' --modified after weekstart
	  --start_time='monthstart-1d' --modified after month start minus 1 day
	  --start_time='yearstart-1d' --modified after year start minus 1 day
	  --start_time='yearstart+1d' --modified after year start plus 1 day
	  --start_time='yearend+1d' --modified after year end plus 1 day
)

SELECT * FROM get_users_incr
WITH(
	    start_time='2012-01-31T00:00:00' --modified after exact date / time (yyyy-MM-dd or yyyy-MM-ddTHH:mm:ss)
		
	  --start_time='yesterday' --modified after yesterday
	  --start_time='now-5h' --modified after current time minus 5 hours
	  --start_time='today-60s' --modified after today minus 60 seconds
	  --start_time='weekstart' --modified after weekstart
	  --start_time='monthstart-1d' --modified after month start minus 1 day
	  --start_time='yearstart-1d' --modified after year start minus 1 day
	  --start_time='yearstart+1d' --modified after year start plus 1 day
	  --start_time='yearend+1d' --modified after year end plus 1 day
)

SELECT * FROM get_organizations_incr
WITH(
	    start_time='2012-01-31T00:00:00' --modified after exact date / time (yyyy-MM-dd or yyyy-MM-ddTHH:mm:ss)
		
	  --start_time='yesterday' --modified after yesterday
	  --start_time='now-5h' --modified after current time minus 5 hours
	  --start_time='today-60s' --modified after today minus 60 seconds
	  --start_time='weekstart' --modified after weekstart
	  --start_time='monthstart-1d' --modified after month start minus 1 day
	  --start_time='yearstart-1d' --modified after year start minus 1 day
	  --start_time='yearstart+1d' --modified after year start plus 1 day
	  --start_time='yearend+1d' --modified after year end plus 1 day
)

SELECT * FROM get_tickets_by_org
WITH(
	  organization_id='12'
)

SELECT * FROM get_tickets_for_user_requested
WITH(
	  user_id='123'
)

SELECT * FROM get_tickets_for_user_cced
WITH(
	  user_id='123'
)

SELECT * FROM get_tickets_for_user_assigned
WITH(
	  user_id='123'
)

SELECT * FROM get_tickets_count

SELECT * FROM get_tickets_count_org
WITH(
	  organization_id='123'
)

SELECT * FROM get_ticket_attachments
WITH(
	  ticket_id='104351'
)

SELECT * FROM Users --Where Id=1234

SELECT * from get_users_by_ids
WITH(user_ids='1111,2222,3333')

SELECT * FROM Organizations --Where Id=1234

SELECT * from get_organizations_by_ids
WITH(organization_ids='1111,2222,3333')

INSERT INTO Tickets(
	subject
	,status
	,assignee_id
	,comment_body_html --(for html body)
	--,comment_body (for plain text)
	,comment_public
	,tags
	,custom_fields)
VALUES(
  'Test Ticket Subject - From email'
, 'new' --new, solved, closed
, 18590685428 --assign to agent id
, 'This is <b>html body</b>' --markup also supported
, 1 --1=public, 0=private 
, '["tag1","tag2"]' 
  --below json can be obtained using select custom_fields from tickets where id=1234
, '[
  {
    "id": 56608448,
    "value": "1122"
  },
  {
    "id": 57385967,
    "value": "ORD-12345"
  }
]'
)

INSERT INTO Tickets(
	subject
	,status
	,requester_email
	,requester_name
	,assignee_id 
	--,group_id --or assign to group
	,comment_body_html --(for html body)
	--,comment_body (for plain text)
	,comment_public
	,tags
	,custom_fields)
VALUES(
  'Test Ticket Subject - From email'
, 'new' --new, solved, closed
, 'fromsomeuser@abc.com' --from email
, 'Bob Smith' --submitter name needed if its new user
, 18590685428 --assign to agent id
--,123435454 --or use group id if not assignee 
, 'This is <b>html body</b>' --markup also supported
--, 'This is plain text'
, 1 --1=public, 0=private 
, '["tag1","tag2"]' 
  --below json can be obtained using select custom_fields from tickets where id=1234
, '[
  {
    "id": 56608448,
    "value": "1122"
  },
  {
    "id": 57385967,
    "value": "ORD-12345"
  }
]'
)

INSERT INTO Tickets_BULK 
SOURCE(
  'MSSQL' --ODBC or OLEDB
  ,'Data Source=localhost;Initial Catalog=Test;Integrated Security=true'
  ,'select ''Test Subject#1'' as subject,''new'' as status,''this is description#1'' as comment_body from Projects'
)

DELETE FROM Tickets WHERE Id=111

DELETE FROM Tickets_Bulk WHERE [$$ticket_ids]='111,222,333'

Update Tickets 
SET subject='Test ticket subject'
  , tags='["tag1","tag2"]' 
  --, additional_tags ='["tag1","tag2"]' --tags you like to remove
  --, remove tags='["tag1","tag2"]'
  , status='pending' --new, solved, closed
  --below json can be obtained using select custom_fields from tickets where id=1234
  , custom_fields='[
  {
    "id": 10000,
    "value": "some value for prop1"
  },
  {
    "id": 10001,
    "value": "some value for prop2"
  }
]'
Where Id = 1234

Update Tickets 
SET comment_body='Closing this ticket'
  , comment_public = 0 --or 1
  , status='solved' --pending, new, closed
  --, comment_body_html='Closing <b>this</b> ticket'
  --, comment_author_id=123545   
Where Id = 1234

Update Tickets 
SET comment_body_html='Closing <b>this</b> ticket'
  , status='solved' --pending, new, closed
  --, comment_author_id=123545   
  --, comment_public = 0 --or 1  
Where Id = 1234

Update Tickets_Bulk 
SET subject='New subject'
  , additional_tags ='["new-tag1","new-tag2"]' --//add some tags
  --, remove_tags='["old-tag1","old-tag2"]' --//removes some tags
  --, tags='["tag1","tag2"]' --//overwrite all tags
  , status='pending' --new, solved, closed
Where Id = 1234

UPDATE Tickets_BULK 
SOURCE(
  'MSSQL' --ODBC or OLEDB
  ,'Data Source=localhost;Initial Catalog=Test;Integrated Security=true'
  ,'select 104897 as Id, ''Test Subject#1-updated-bulk-demo'' as subject,''new'' as status
    UNION 
    select 104898 as Id, ''Test Subject#2-updated-bulk-demo'' as subject,''new'' as status'
)

DELETE FROM Tickets_BULK 
SOURCE(
  'MSSQL' --ODBC or OLEDB
  ,'Data Source=localhost;Initial Catalog=Test;Integrated Security=true'
  ,'select 104897 as Id 
    UNION 
    select 104898 as Id'
)

INSERT INTO Tickets(_rawdoc_) 
VALUES(
  '{
      "subject": "Test ticket #1",    
      "comment": {
        "body": "Test ticket #1"
      },
      "priority": "urgent"
    }'
)

UPDATE Tickets
SET _rawdoc_ =
  '{
      "subject": "Test ticket #1",    
      "comment": {
        "body": "Test ticket #1"
      },
      "priority": "urgent"
    }'
WHERE Id=1234

INSERT INTO Tickets_Bulk(_rawdoc_) 
VALUES(
  '[
    {
      "subject": "Test ticket #1",    
      "comment": {
        "body": "Test ticket #1"
      },
      "priority": "urgent"
    },
    {
      "subject": "Test ticket #2",    
      "comment": {
        "body": "This is a comment for #2"
      },
      "priority": "normal"
    }
  ]'
)

INSERT INTO Users
(
 name
,email
,organization_id
,phone
,default_group_id
,locale
,moderator
,skip_verify_email
,only_private_comments
,signature
,tags
,time_zone
,role
,external_id
,alias
,details
,notes
,remote_photo_url
,user_fields
)
VALUES(
   'Bob Walton'
  ,'bob@abc.com'
  ,5397098432795
  ,'111-222-3333'
  ,114094762733
  ,'en-US'
  ,'false'
  ,'true' --true=do not send verify account email
  ,1 --user can put only private comments
  ,'Best regards, Support Team' --Only agents and admins can have signatures
  ,'["paid","trial","solved"]' 
  ,'America/New_York'
  ,'end-user' --agent or admin 
  ,'zcrm_1558554000052161270'
  ,'some alias'
  ,'some details'
  ,'some notes'
  ,'https://zappysys.com/wp-content/uploads/2021/10/Slider-API-Hub-1.png' --this does not work in INSERT (works only in UPDATE/UPSERT for now)
  ,'{"birthdate": "1981-01-23", "gender": "M"}'
)

UPDATE Users
SET name='Sam Walton'
  ,email='sam@abc.com'
  ,organization_id=5397098432795
  ,phone='111-222-3333'
  ,default_group_id=114094762733
  ,locale='en-US'
  ,skip_verify_email='true' --do not send verify account email
  ,moderator='false'
  ,only_private_comments=1 --user can put only private comments
  ,signature='Best regards, Support Team' --Only agents and admins can have signatures
  ,tags='["paid","trial","solved"]' 
  ,time_zone='America/New_York'
  ,role='end-user'
  ,external_id='zcrm_1558554000052161269'
  ,alias='some alias'
  ,details='some details'
  ,notes='some notes'
  ,remote_photo_url='https://zappysys.com/wp-content/uploads/2021/10/Slider-API-Hub-1.png'
  ,user_fields='{"birthdate": "1981-01-23", "gender": "M"}'
Where id=21811221397915

INSERT INTO Users
(
 name
,email
,organization_id
,phone
,default_group_id
,locale
,moderator
,skip_verify_email
,only_private_comments
,signature
,tags
,time_zone
,role
,external_id
,alias
,details
,notes
,remote_photo_url
,user_fields
)
VALUES(
   'Bob Walton'
  ,'bob@abc.com'
  ,5397098432795
  ,'111-222-3333'
  ,114094762733
  ,'en-US'
  ,'false'
  ,'true' --true=do not send verify account email
  ,1 --user can put only private comments
  ,'Best regards, Support Team' --Only agents and admins can have signatures
  ,'["paid","trial","solved"]' 
  ,'America/New_York'
  ,'end-user' --agent or admin 
  ,'zcrm_1558554000052161270'
  ,'some alias'
  ,'some details'
  ,'some notes'
  ,'https://zappysys.com/wp-content/uploads/2021/10/Slider-API-Hub-1.png' --this does not work in INSERT (works only in UPDATE/UPSERT for now)
  ,'{"birthdate": "1981-01-23", "gender": "M"}'
)

DELETE FROM Users Where id=21855694556443 --it doesnt delete user from system but only changes active flag

SELECT *
FROM get_search
WITH(
	  query='type:user email:bob@abc.com'
)

INSERT INTO Organizations
(
	 name
	,external_id
	,group_id 
	,tags
	,details
	,notes
	,organization_fields
	,domain_names
	,shared_tickets
	,shared_comments
)
VALUES(
	'Abc Inc'
	,'zcrm_1558554000052161270'  --external_id
	,114094762733  
	,'["paid","trial","solved"]' 
	,'some details'
	,'some notes'
	,'{"startdate": "1981-01-23", "revenue": 12000000.50, "somenumber": 1235678}'
	,'["aaa.com", "bbb.com"]'
	,'false'
	,'false'
)

UPDATE Organizations
SET  name='Abc Inc'
	,external_id='zcrm_1558554000052161270'
	,group_id=114094762733 
	,tags='["paid","trial","solved"]'
	,details='some details'
	,notes='some notes'
	,organization_fields='{"startdate": "1981-01-23", "revenue": 12000000.50, "somenumber": 1235678}'
	,domain_names='["aaa.com", "bbb.com"]'
	,shared_tickets='false'
	,shared_comments='false'
Where id=21863188631451

UPSERT INTO Organizations
(
	 name
	--id or external_id can be supplied for UPSERT
	,id 
	--or--
	,external_id
	 
	,group_id 
	,tags
	,details
	,notes
	,organization_fields
	,domain_names
	,shared_tickets
	,shared_comments
)
VALUES(
	'Abc Inc'
	,1234567 --id
	--or--
	,'zcrm_1558554000052161270'  --external_id
	
	,114094762733  
	,'["paid","trial","solved"]' 
	,'some details'
	,'some notes'
	,'{"startdate": "1981-01-23", "revenue": 12000000.50, "somenumber": 1235678}'
	,'["aaa.com", "bbb.com"]'
	,'false'
	,'false'
)

DELETE FROM Organizations Where id=21855694556443

SELECT *
FROM get_search --limited to 1000 rows max
--OR
--FROM get_search_export --returns more than 1000 rows but no sorting or extra column allowed
WITH(
       filtertype='', --can be ticket, organization, user, group. If you set here then no need to put in query (e.g. query='type:ticket ...'). This option is ignored for get_search_Export.
	  ,sort_by='updated_at' --created_at, status, priority, ticket_type. This option is ignored for get_search_Export.
	  ,sort_order='asc'  --desc (not valid for get_search_export). This option is ignored for get_search_Export.

    --read this for more information 
	--https://support.zendesk.com/hc/en-us/articles/4408883318554-Searching-users-groups-and-organizations
	--https://support.zendesk.com/hc/en-us/articles/4408886879258-Zendesk-Support-search-reference#topic_crj_yev_uc
	--https://support.zendesk.com/hc/en-us/articles/4408882086298-Searching-tickets
	
      ,query='type:ticket subject:"Upsert Destination"'   --search tickets where subject contains phrase "Upsert Destination" (special characters like comma / dash etc ignored in match)
	--,query='type:ticket 519872'   --search ticket with id 519872
	--,query='type:ticket tags:solved,odbc_powerpack updated>1months' --search tickets where two tags set solved,odbc_powerpack and updated in last one month
	--,query='type:ticket -tags:odbc_powerpack updated>1months' --search tickets where where tags not like odbc_powerpack and updated in last one month
	--,query='type:ticket status<solved created>1months' --search tickets with status not solved and created in last one month
	--,query='type:ticket created:2014-08-01' --search tickets created on 2014-08-01 (UTC)
	--,query='type:ticket created>2014-08-01T10:30:00Z created<2014-08-01T12:00:00Z' --search tickets created between two datetime (UTC time)
	--,query='type:ticket requester:amy@mondocam.com' --search tickets where requester is amy@mondocam.com
	--,query='type:ticket description:defective' --search tickets where decription contains word "defective"
	--,query='type:ticket description:"product is defective"' --search tickets where decription contains phrase  "product is defective"
	--,query='type:ticket priority>low' --search tickets where priority greater than low (e.g. medium or high)"
	
	--,query='ZappySys' --phrase match (no type): anywhere in ticket / organization / user contains ZappySys word - If filtertype parameter supplied then only those type included
	--,query='ZappySys*' --phrase match (no type): wildcard usage
	--,query='type:user "ZappySys"' --search users with term "ZappySys" anywhere in text properties
    --,query='type:user email:"@zappysys"' --search users with term "@ZappySys.com" in email field
	--,query='type:user name:"zappysys"' --search users with term "ZappySys" in name field
	--,query='type:user details:"zappysys"' --search users with term "ZappySys" in details field
    --,query='type:organization "ZappySys LLC"' --phrase match: organization name contains ZappySys LLC
)

UPSERT INTO Organizations
SOURCE('MSSQL' --ODBC
, 'Data Source=localhost;Initial Catalog=test;Integrated Security=true'

--For bulk input, map columns in External Query (Must use alias column name to match INSERT command Input Column names - see help file)
--If parameter value not same for all input rows then you can prefix some column with $$ to map as parameter (i.e. $$MyParam1)
--'ODBC', 'Driver={ZappySys CSV Driver};DataPath=C:\AccountsToInsert.csv'
--'ODBC', 'DSN=MyDSN'
--'OLEDB', 'Provider=SQLNCLI11;Server=localhost,1433;Database=tempdb;Trusted_Connection=yes;'

, 'select
      21863188631451 as id
    , ''Abc Inc'' as name
	,''zcrm_1558554000052161270'' as external_id
	,114094762733  as group_id
	,''["paid","trial","solved"]'' as tags
	,''some details'' as details
	,''some notes'' as notes
	,''{"startdate": "1981-01-23", "revenue": 12000000.50, "somenumber": 1235678}'' as organization_fields
	,''["aaa.com", "bbb.com"]'' domain_names
	,''false'' as shared_tickets
	,''false'' as shared_comments
')

Conclusion

In this article we showed you how to connect to Zendesk in Azure Data Factory (Pipeline) and integrate data without any coding, saving you time and effort. It's worth noting that ZappySys API Driver allows you to connect not only to Zendesk, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

We encourage you to download Zendesk Connector for Azure Data Factory (Pipeline) 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 Zendesk Connector for Azure Data Factory (Pipeline) Documentation

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