Reference

Endpoint Update Tickets (Bulk)


Name

put_tickets

Description

Update tickets in bulk (job is queued) and wait until done. This is faster than one request at a time [API reference]

Related Tables

Tickets (Bulk)

Parameters

Parameter Required Options
There are no parameters

Output Columns

Label Data Type (SSIS) Data Type (SQL) Length Description
job_id DT_WSTR nvarchar(100) 100
message DT_WSTR nvarchar(2000) 2000
total DT_I4 int
job_status DT_WSTR nvarchar(50) 50
url DT_WSTR nvarchar(500) 500
index DT_I4 int
error DT_WSTR nvarchar(1000) 1000
details DT_WSTR nvarchar(4000) 4000
ticket_id DT_I8 bigint
status DT_WSTR nvarchar(50) 50
success DT_BOOL bit
If the column you are looking for is missing, consider customizing Zendesk Connector.

Input Columns

Label Data Type (SSIS) Data Type (SQL) Length Description
allow_attachments DT_BOOL bit
allow_channelback DT_BOOL bit
brand_id DT_I8 bigint
followup_ids DT_WSTR nvarchar(1000) 1000
fields DT_WSTR nvarchar(1000) 1000
group_id DT_I8 bigint
due_at DT_DBTIMESTAMP datetime
collaborator_ids DT_WSTR nvarchar(1000) 1000
assignee_id DT_I8 bigint
forum_topic_id DT_WSTR nvarchar(255) 255
email_cc_ids DT_WSTR nvarchar(1000) 1000
follower_ids DT_WSTR nvarchar(1000) 1000
id DT_I8 bigint
sharing_agreement_ids DT_WSTR nvarchar(255) 255
organization_id DT_I8 bigint
is_public DT_BOOL bit
problem_id DT_WSTR nvarchar(255) 255
submitter_id DT_I8 bigint
requester_email DT_WSTR nvarchar(255) 255
recipient DT_WSTR nvarchar(255) 255
status DT_WSTR nvarchar(28) 28
type DT_WSTR nvarchar(255) 255
priority DT_WSTR nvarchar(24) 24
comment_body DT_NTEXT nvarchar(MAX)
comment_body_html DT_NTEXT nvarchar(MAX)
requester_id DT_I8 bigint
comment_public DT_BOOL bit
tags DT_WSTR nvarchar(1000) 1000
additional_tags DT_WSTR nvarchar(1000) 1000
remove_tags DT_WSTR nvarchar(1000) 1000
custom_fields DT_WSTR nvarchar(1000) 1000
external_id DT_WSTR nvarchar(255) 255
requester_name DT_WSTR nvarchar(255) 255
comment_author_id DT_I8 bigint
subject DT_WSTR nvarchar(1012) 1012
Required columns that you need to supply are bolded.

Examples

SSIS

Use Zendesk Connector in API Source or in API Destination SSIS Data Flow components to read or write data.

API Destination

This Endpoint belongs to the Tickets (Bulk) table, therefore it is better to use it, instead of accessing the endpoint directly. Use this table and table-operation pair to update tickets:

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)
Update
There are no parameters to configure.
SSIS API Destination - Access table operation

ODBC application

Use these SQL queries in your ODBC application data source:

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

put_tickets endpoint belongs to Tickets_Bulk table(s), and can therefore be used via those table(s).

SQL Server

Use these SQL queries in SQL Server after you create a data source in Data 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];

put_tickets endpoint belongs to Tickets_Bulk table(s), and can therefore be used via those table(s).