Update ticket tags

Adds or removes tags from a ticket. This example demonstrates using additional_tags to add tags and remove_tags to remove them via the Tickets_Bulk table.

Standard SQL query example

This is the base query accepted by the connector. To execute it in SQL Server, you have to pass it to the Data Gateway via a Linked Server. See how to accomplish this using the examples below.

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

Using OPENQUERY in SQL Server

SELECT * FROM OPENQUERY([LS_TO_ZENDESK_IN_GATEWAY], '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')

Using EXEC in SQL Server (handling larger SQL text)

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

Fortunately, starting with SQL 2005 and onwards, you can utilize the EXEC (your_sql) AT [LS_TO_ZENDESK_IN_GATEWAY] syntax.

DECLARE @MyQuery NVARCHAR(MAX) = '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'
EXEC (@MyQuery) AT [LS_TO_ZENDESK_IN_GATEWAY]