Table Tickets_Bulk

Description

No description available

Supported Operations

Examples

SSIS

Use Zendesk Connector in API Source component to read data or in API Destination component to read/write data:

Read from Tickets (Bulk) table using API Source

API Source - 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.

Zendesk

Tickets (Bulk)

Optional Parameters
Sort By
Sort Order
Extra Columns to Include
External ID for Ticket
NextUrlAttributeOrExpr	$.links.next
Records Per Page (Max 100)	100
NextUrlEndIndicator	false
StopIndicatorAttributeOrExpr	$.meta.has_more

Read/write to Tickets (Bulk) table using API Destination

API Destination - 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.

Zendesk

Tickets (Bulk)

Select

Optional Parameters
Sort By
Sort Order
Extra Columns to Include
External ID for Ticket
NextUrlAttributeOrExpr	$.links.next
Records Per Page (Max 100)	100
NextUrlEndIndicator	false
StopIndicatorAttributeOrExpr	$.meta.has_more

ODBC application

Use these SQL queries in your ODBC application data source:

Delete multiple by tickets by Id list - BULK (comma seperated - max 100 ids)

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

Update ticket with Add or remove tags

Update ticket with Add new tags or remove tags. Adding / removing tags available via special field names only in BULK mode so you must use Tickets_BULK table.

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

Create multiple ticket(s) using a RAW JSON body (single or multiple)

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"
    }
  ]'
)

SQL Server

Use these SQL queries in SQL Server after you create a data source in Data Gateway:

Delete multiple by tickets by Id list - BULK (comma seperated - max 100 ids)

DECLARE @MyQuery NVARCHAR(MAX) = 'DELETE FROM Tickets_Bulk WHERE [$$ticket_ids]=''111,222,333''';

EXEC (@MyQuery) AT [LS_TO_ZENDESK_IN_GATEWAY];

Update ticket with Add or remove tags

Update ticket with Add new tags or remove tags. Adding / removing tags available via special field names only in BULK mode so you must use Tickets_BULK table.

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];

Create multiple ticket(s) using a RAW JSON body (single or multiple)

DECLARE @MyQuery NVARCHAR(MAX) = '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"
    }
  ]''
)';

EXEC (@MyQuery) AT [LS_TO_ZENDESK_IN_GATEWAY];