Freshdesk
Freshdesk is an online cloud-based customer support software providing help desk support.
Freshdesk integration replicates data using the Freshdesk REST API.
See the
Schema section for a list of objects available for replication.
유용한 링크와 지원되는 기능을 포함하여 이 커넥터에 대한 전반적인 내용을 살펴보겠습니다.
| 특징/기능 | 지원 세부 정보 |
|---|
| 지원되는 Qlik Talend Data Integration 프로젝트 | 복제 프로젝트에만 해당됩니다. 데이터 파이프라인 프로젝트는 지원되지 않습니다. |
대상 업데이트 방법 | 복제 작업: 데이터 레이크 작업에 데이터 랜딩: |
메타데이터 관리 | 수동 메타데이터 생성이 필요하지 않습니다. |
스키마 진화 | 열 데이터 유형 변경 작업만 지원됩니다. |
| LOB 열(NCLOB, CLOB 및 BLOB) 복제 | 지원되지 않음. |
| 예정된 CDC | 필수. 이렇게 하면 소스의 변경 내용이 대상에 최신 상태로 유지됩니다. 복제 작업의 경우 작업 예약 을 참조하십시오. 레이크 랜딩 작업의 경우 레이크 랜딩 작업을 위한 CDC 일정을 참조하십시오. |
| 알림 | 부분적으로 지원됨 작업 변경 알림 설정 |
| 모니터링 중 | CDC에만 해당되며, 이 커넥터의 경우 전체 로드가 적용되지 않습니다. 개별 데이터 작업 모니터링 |
| JSON 열 페이로드의 자동 압축 해제 | 지원되지 않음. 소스 데이터 집합의 JSON 열 페이로드는 대상에서 자동으로 압축 해제되지 않습니다. |
Preparing for authentication
To access your data, you need to authenticate the connection with your account credentials.
정보 메모사용하는 계정에 가져오려는 테이블에 대한 읽기 액세스 권한이 있는지 확인합니다.
Creating the connection
자세한 내용은 SaaS 응용 프로그램에 연결을 참조하십시오.
- 필요한 연결 속성을 입력합니다.
연결 이름에 연결 이름을 입력합니다.
연결이 만들어질 때 연결에 대한 메타데이터를 정의하려면 연결 메타데이터 열기를 선택합니다.
만들기를 클릭합니다.
Connection settings| Setting | Description |
|---|
| Data gateway | 사용 사례에 필요한 경우 데이터 이동 게이트웨이를 선택합니다. 정보 메모이 필드는 데이터 이동 게이트웨이를 지원하지 않으므로 Qlik Talend Cloud 시작 구독에서는 사용할 수 없습니다. 다른 구독 계층이 있고 데이터 이동 게이트웨이를 사용하지 않으려면 없음을 선택합니다. 데이터 이동 게이트웨이의 이점과 이를 필요로 하는 사용 사례에 대한 자세한 내용은 Qlik 데이터 게이트웨이 - 데이터 이동를 참조하십시오. |
| Start Date | 데이터를 소스에서 대상으로 복제해야 하는 날짜를 MM/DD/YYYY 형식으로 입력합니다. |
| Subdomain | You can find your subdomain in the URL of your Freshdesk account. If the URL is your-org-name.freshdesk.com, the subdomain is your-org-name. |
| API Key | API key. |
Schema
정보 메모Schemas and naming conventions can change from version to version. It is recommended to verify your version before continuing.
The schema and info displayed below is for version 1.
Depending on your destination, table and column names may not appear as they are outlined below.
agents
The agents table contains info about the agents in your Freshdesk account.
| Join agents with | on |
|---|
| groups | agents.id = groups.agent_ids agents.group_ids.type = groups.id |
| satisfaction_ratings | agents.id = satisfaction_ratings.agent_id agents.group_ids.type = satisfaction_ratings.group_id |
| tickets | agents.id = tickets.responder_id agents.group_ids.type = tickets.group_id |
| time_entries | agents.id = time_entries.agent_id |
| roles | agents.role_ids.type = roles.id |
available
BOOLEAN
|
available_since
DATE-TIME
|
contact
OBJECT
This is a nested data structure: - active: BOOLEAN
- created_at: DATE-TIME
- email: STRING
- job_title: STRING
- language: STRING
- last_login_at: DATE-TIME
- mobile: STRING
- name: STRING
- phone: STRING
- time_zone: STRING
- updated_at: DATE-TIME
|
created_at
DATE-TIME
|
group_ids
ARRAY
This is a nested data structure. |
id
INTEGER
|
occasional
BOOLEAN
|
role_ids
ARRAY
This is a nested data structure. |
signature
STRING
|
ticket_scope
INTEGER
|
updated_at
DATE-TIME
|
companies
The companies table contains info about the companies your various customers and contacts belong to.
Custom Fields
If applicable, Stitch will replicate custom fields related to companies in Freshdesk.
| Join companies with | on |
|---|
| tickets | companies.id = tickets.company_id |
created_at
DATE-TIME
|
custom_fields
ARRAY
This is a nested data structure: - name: STRING
- value: STRING
|
description
STRING
|
domains
ARRAY
This is a nested data structure. |
id
INTEGER
|
name
STRING
|
note
STRING
|
updated_at
DATE-TIME
|
conversations
The conversations table contains info about replies and public/private notes added to the tickets in your Freshdesk account.
| Join conversations with | on |
|---|
| tickets | conversations.ticket_id = tickets.id |
| satisfaction_ratings | conversations.ticket_id = satisfaction_ratings.ticket_id |
bcc_emails
ARRAY
This is a nested data structure. |
body_text
STRING
|
cc_emails
ARRAY
This is a nested data structure. |
created_at
DATE-TIME
|
from_email
STRING
|
id
INTEGER
|
incoming
BOOLEAN
|
private
BOOLEAN
|
source
INTEGER
|
support_email
STRING
|
ticket_id
INTEGER
|
to_emails
ARRAY
This is a nested data structure. |
updated_at
DATE-TIME
|
user_id
INTEGER
|
groups
The groups table contains info about the groups your agents belong to.
| Join groups with | on |
|---|
| agents | groups.agent_ids = agents.id groups.id = agents.group_ids.type |
| satisfaction_ratings | groups.agent_ids = satisfaction_ratings.agent_id groups.id = satisfaction_ratings.group_id |
| tickets | groups.agent_ids = tickets.responder_id groups.id = tickets.group_id |
| time_entries | groups.agent_ids = time_entries.agent_id |
agent_ids
ARRAY
This is a nested data structure. |
auto_ticket_assign
INTEGER, BOOLEAN
|
business_hour_id
INTEGER
|
created_at
DATE-TIME
|
description
STRING
|
escalate_to
INTEGER
|
id
INTEGER
|
name
STRING
|
unassigned_for
STRING
|
updated_at
DATE-TIME
|
roles
The roles table contains info about the various roles that can be assigned to team members in your Freshdesk account.
| Join roles with | on |
|---|
| agents | roles.id = agents.role_ids.type |
created_at
DATE-TIME
|
default
BOOLEAN
|
description
STRING
|
id
INTEGER
|
name
STRING
|
updated_at
DATE-TIME
|
satisfaction_ratings
The satisfaction_ratings table contains info about customer satisfaction survey responses, or satisfaction ratings.
| Join satisfaction_ratings with | on |
|---|
| agents | satisfaction_ratings.agent_id = agents.id satisfaction_ratings.group_id = agents.group_ids.type |
| groups | satisfaction_ratings.agent_id = groups.agent_ids satisfaction_ratings.group_id = groups.id |
| tickets | satisfaction_ratings.agent_id = tickets.responder_id satisfaction_ratings.group_id = tickets.group_id satisfaction_ratings.ticket_id = tickets.id |
| time_entries | satisfaction_ratings.agent_id = time_entries.agent_id |
| conversations | satisfaction_ratings.ticket_id = conversations.ticket_id |
agent_id
INTEGER
|
created_at
DATE-TIME
|
feedback
STRING
|
group_id
INTEGER
|
id
INTEGER
|
ratings
ARRAY
This is a nested data structure: - question: STRING
- value: INTEGER
|
survey_id
INTEGER
|
ticket_id
INTEGER
|
updated_at
DATE-TIME
|
user_id
INTEGER
|
tickets
The tickets table contains info about the tickets in your Freshdesk account.
Custom Fields
If applicable, Stitch will replicate custom fields related to tickets in Freshdesk.
| Join tickets with | on |
|---|
| agents | tickets.responder_id = agents.id tickets.group_id = agents.group_ids.type |
| groups | tickets.responder_id = groups.agent_ids tickets.group_id = groups.id |
| satisfaction_ratings | tickets.responder_id = satisfaction_ratings.agent_id tickets.group_id = satisfaction_ratings.group_id tickets.id = satisfaction_ratings.ticket_id |
| time_entries | tickets.responder_id = time_entries.agent_id |
| companies | tickets.company_id = companies.id |
| conversations | tickets.id = conversations.ticket_id |
cc_emails
ARRAY
This is a nested data structure. |
company
OBJECT
This is a nested data structure: |
company_id
INTEGER
|
created_at
DATE-TIME
|
custom_fields
ARRAY
This is a nested data structure: - name: STRING
- value: STRING
|
deleted
BOOLEAN
|
description
STRING
|
description_text
STRING
|
due_by
DATE-TIME
|
email
STRING
|
email_config_id
INTEGER
|
facebook_id
STRING
|
fr_due_by
DATE-TIME
|
fr_escalated
BOOLEAN
|
fwd_emails
ARRAY
This is a nested data structure. |
group_id
INTEGER
|
id
INTEGER
|
is_escalated
BOOLEAN
|
name
STRING
|
phone
STRING
|
priority
NUMBER
|
product_id
INTEGER
|
reply_cc_emails
ARRAY
This is a nested data structure. |
requester
OBJECT
This is a nested data structure: - email: STRING
- id: INTEGER
- mobile: STRING
- name: STRING
- phone: STRING
|
requester_id
INTEGER
|
responder_id
INTEGER
|
source
NUMBER
|
spam
BOOLEAN
|
stats
OBJECT
This is a nested data structure: - closed_at: DATE-TIME
- first_responded_at: DATE-TIME
- resolved_at: DATE-TIME
|
status
NUMBER
|
subject
STRING
|
tags
ARRAY
This is a nested data structure. |
to_emails
ARRAY
This is a nested data structure. |
twitter_id
STRING
|
type
STRING
|
updated_at
DATE-TIME
|
time_entries
The time_entries table contains info about the time entries entered by agents working on tickets.
| Join time_entries with | on |
|---|
| agents | time_entries.agent_id = agents.id |
| groups | time_entries.agent_id = groups.agent_ids |
| satisfaction_ratings | time_entries.agent_id = satisfaction_ratings.agent_id |
| tickets | time_entries.agent_id = tickets.responder_id |
agent_id
INTEGER
|
billable
BOOLEAN
|
created_at
DATE-TIME
|
executed_at
DATE-TIME
|
id
INTEGER
|
note
STRING
|
start_time
DATE-TIME
|
ticket_id
INTEGER
|
time_spent
STRING
|
timer_running
BOOLEAN
|
updated_at
DATE-TIME
|
