Release Notes
November 2024
We have updated the Quickstart packages for the following connectors:
- Amplitude to version 0.5.0
- Apple Search Ads to version 0.4.1
- Facebook Ads to version 0.8.0
- HubSpot to version 0.20.0
- Iterable to version 0.13.0
- Jira to version 0.19.0
- LinkedIn Ad Analytics to version 0.9.1
- Recurly to version 0.5.1
- Reddit Ads to version 0.3.1
- Zendesk Support to version 0.18.1
* dbt Core is a trademark of dbt Labs, Inc. All rights therein are reserved to dbt Labs, Inc. Fivetran Transformations is not a product or service of or endorsed by dbt Labs, Inc.
October 2024
We have updated the Quickstart package for the Zendesk Support connector to version 0.18.0.
* dbt Core is a trademark of dbt Labs, Inc. All rights therein are reserved to dbt Labs, Inc. Fivetran Transformations is not a product or service of or endorsed by dbt Labs, Inc.
July 2024
We have added the following new tables:
AGENT_CHANNEL_HISTORY
AGENT_MAX_CAPACITY_HISTORY
AGENT_STATUS_HISTORY
AGENT_UNIFIED_STATUS_HISTORY
AGENT_STATUS_TYPE
AGENT_STATUS_TYPE_GROUP
We are gradually rolling out this change to all existing connectors.
June 2024
We now include the USER_VOTE
table in the syncs by default. Previously, we excluded this table from the sync by default. You can now select or deselect the USER_VOTE
table to sync from the Schema tab on your connector details page.
We have added the following new tables:
CATEGORY
SECTION
USER_SEGMENT
USER_SEGMENT_ADDED_USER
USER_SEGMENT_GROUP
USER_SEGMENT_ORGANIZATION
USER_SEGMENT_TAG
We are gradually rolling out this change to all existing connectors.
April 2024
We have added a new table, ARTICLE_COMMENT
, to capture the comments in articles. We are gradually rolling out this change to all existing connectors.
We now support syncing anonymous votes in the USER_VOTE
table. We sync the anonymous votes as null
in the user_id
column. Previously, we synced votes only from known users. We are gradually rolling out this improvement to all existing connectors.
February 2024
We have updated the Quickstart packages for the following connectors:
- Facebook Ads to version 0.7.2
- Fivetran Platform Connector to version 1.4.3
- Intercom to version 0.9.1
- Zendesk Support to version 0.13.1
We have added two new tables, TICKET_CHAT
and TICKET_CHAT_EVENT
. We are gradually rolling out this change to all existing connectors.
October 2023
We have updated the Quickstart packages for the following connectors:
- Fivetran Platform Connector to version 1.1.0
- Google Ads to version 0.9.3
- Intercom to version 0.8.0
- Jira to version 0.15.0
- NetSuite SuiteAnalytics to version 0.9.0
- QuickBooks to version 0.12.0
- Zendesk Support to version 0.11.2
* dbt Core is a trademark of dbt Labs, Inc. All rights therein are reserved to dbt Labs, Inc. Fivetran Transformations is not a product or service of or endorsed by dbt Labs, Inc.
We have added following new tables:
AUTOMATION
AUTOMATION_ACTION
AUTOMATION_CONDITION
CONTENT_TAG
GROUP_SLA_POLICY_HISTORY
GROUP_SLA_POLICY_METRIC_HISTORY
MACRO
MACRO_ACTION
SUSPENDED_TICKET
SUSPENDED_TICKET_ATTACHMENT
TICKET_GROUP_SLA_POLICY
TICKET_SIDE_CONVERSATION
TICKET_SIDE_CONVERSATION_EVENT
TICKET_SIDE_CONVERSATION_RECIPIENT
TRIGGER
TRIGGER_ACTION
TRIGGER_CONDITION
We are gradually rolling out these changes to all existing connectors.
September 2023
We now capture deletes for the POST
table. To capture deletes, we re-import the table once every 30 days.
August 2023
We have added the following new columns to the TICKET
table:
allow_attachments
from_messaging_channel
raw_subject
We have added the following new columns to the TICKET_CUSTOM_FIELD
table:
agent_description
relationship_target_type
sub_type_id
tag
We have added two new columns, role_type
and shared_phone_number
, to the USER
table.
We have added two new columns, metadata
and plain_body
, to the TICKET_COMMENT
table.
We have added a new child table, TICKET_COMMENT_ATTACHMENT
, to the TICKET_COMMENT
table. This table stores the attachments in the ticket comments.
We have changed the composite primary key of the TICKET_SLA_POLICY
table to ensure data integrity. The new composite key is a combination of the following columns:
policy_applied_at
sla_policy_id
ticket_id
We have added a new child table, TICKET_EMAIL_CC
, to the TICKET
table. This table stores the email_cc_ids
in the ticket response.
We have deprecated the start_time_utc
and end_time_utc
columns from the SCHEDULE
table and no longer sync data into these columns. To accurately calculate the schedule in the applicable time zone throughout the year, use the DAYLIGHT_TIME
and TIME_ZONE
tables. Be sure to remove the start_time_utc
and end_time_utc
columns from your queries. For more information, see our Zendesk Support documentation.
May 2023
We have added a new column, id
, to the TICKET_FIELD_OPTION
table.
We have added the following new child tables to the TICKET_FORM_HISTORY
table to support Ticket Forms:
AGENT_CONDITION
AGENT_CONDITION_REQUIRED_STATUS
END_USER_CONDITION
TICKET_FORM_FIELD
TICKET_FORM_RESTRICTED_BRAND
March 2023
We have added two new tables, TICKET_COLLABORATOR
and TICKET_FOLLOWER
. We are gradually rolling out these changes to all existing connectors.
We now support the TICKET_CUSTOM_STATUS
table which captures Custom Ticket Statuses.
Our Zendesk Support connector now supports table level re-sync.
February 2023
We have added two new columns, phone_number_id
and call_group_id
, to the CALL_METRIC
table.
December 2022
We have added a new table, SCHEDULE_HOLIDAY
. For more information, see Zendesk's documentation.
November 2022
Now, you can configure the API usage limit of the Zendesk Support connector using our REST API. Previously, the default API usage limit was 90%. For more information, see our Zendesk Support API Configuration documentation.
October 2022
We have added a new column, type
, to the TICKET_CUSTOM_FIELD
table.
We have added a new column, ticket_custom_field_id
, to the TICKET_FIELD_OPTION
table.
September 2022
We now sync the following Zendesk Talk tables if Zendesk Talk is integrated with your account:
ADDRESS
CALL_LEG
CALL_LEG_QUALITY_ISSUE
GREETING
GREETING_CATEGORY
GREETING_IVR
IVR
IVR_MENU
IVR_MENU_ROUTE
IVR_MENU_ROUTE_OPTION
LINE
LINE_CATEGORISED_GREETING
LINE_GREETING
LINE_GROUP
August 2022
We have added a new column, html_body
, to the TICKET_COMMENT
table.
June 2022
We have added the via_*
columns to the following tables:
TICKET_COMMENT
TICKET_TAG_HISTORY
TICKET_FIELD_HISTORY
December 2021
We now exclude the USER_VOTE
table from syncs by default because it can be a large table and may degrade performance.
If you want to sync the USER_VOTE
table, go to the Schema tab of your Fivetran dashboard and select it. Learn how in our connector schema documentation.
October 2021
We have added a new table, USER_VOTE
, which stores the votes cast by a specific user. For more information, see Zendesk's documentation.
September 2021
We have added the following new columns to the USER
table:
default_group_id
iana_time_zone
report_csv
We have added a new table, TICKET_MACRO_REFERENCE
, which stores a tickets’ macro data. For more information, see Zendesk's documentation.
May 2021
We have added a new table, TICKET_LINK
.
January 2021
You can now exclude the TICKET_FIELD_HISTORY
and TICKET_TAG_HISTORY
tables from your syncs. On your Connector Details page, go to the Schema tab and deselect the tables. By default, we include the tables in the sync.
We now sync the TICKET_FIELD_HISTORY
and TICKET_TAG_HISTORY
tables on a priority-first basis.
December 2020
We have expanded the public API endpoints Create a Connector and Modify a Connector. Now you can authorize the following connectors by adding the auth
section to payloads:
- AdRoll
- Facebook Pages
- Front
- Google Ad Manager
- Help Scout
- LinkedIn Ad Analytics
- Optimizely
- Pipedrive
- SurveyMonkey
- Zendesk Chat
- Zendesk Support
We have added two new columns, followup_ids
and via_followup_source_id
, to the TICKET
table.
November 2020
Our Zendesk Support connector now supports multithreading. We can now use multiple parallel API requests to fetch ticket data from your Zendesk account to your destination, leading to faster sync speeds. The connector’s sync speed depends on your Zendesk API quota. We are gradually rolling out this new feature to all existing connectors.
We have added a new field, via_source_from_address
, to the TICKET
table. The via_source_from_address
field stores the original address that sent the Zendesk request.
September 2020
We have released pre-built, dbt Core-compatible data models for Zendesk Support. Find the models in Fivetran's dbt hub or data models documentation. Learn more about our dbt Core integration in our Transformations for dbt Core documentation*.
* dbt Core is a trademark of dbt Labs, Inc. All rights therein are reserved to dbt Labs, Inc. Fivetran Transformations is not a product or service of or endorsed by dbt Labs, Inc.
We have added a new table, ARTICLE
, which stores details about all Help Center articles. Learn more in Zendesk's Articles documentation.
August 2020
We have added a new table, CALL_METRIC
, which stores the Zendesk Talk call details. We exclude the CALL_METRIC
table from the sync by default. To sync the table, go to the Schema tab on your connector details page and select it.
June 2020
We have added a new column, created_at
, to the SCHEDULE
table.
May 2020
We have renamed the attribute_value_name
column to value
in the TICKET_ATTRIBUTE
and AGENT_ATTRIBUTE
tables.
We have added a new table AUDIT_LOG
, which stores the logs of an audit. We exclude the AUDIT_LOG
table from your syncs by default. To sync the table, go to the Schema tab on your connector details page and select AUDIT_LOG
table.
April 2020
We have added a new table, TICKET_ATTRIBUTE
, which stores the attribute values of a ticket.
We have added a new table, AGENT_ATTRIBUTE
, which stores the attribute values of an agent.
March 2020
We have added a new table, POST
, which stores the content that you post or share with the community.
We have added a new table, POST_COMMENT
, which stores the comments made on your posts.
We have added a new table, SKIP_TICKET_HISTORY
, which stores skip records. When an agent skips over a ticket without responding to the end user, it is recorded as a skip.
We have added a new field, merged_ticket_ids
, to the TICKET
table. This field stores the ticket IDs of the merged tickets.
January 2020
We have renamed our Zendesk connector to Zendesk Support. This name change applies to the Fivetran dashboard and our documentation.
December 2019
We have added a new table, TICKET_ALERT
, to sync the following event types:
- CC
- Notification
- OrganizationActivity
- External
We have added a new table, ALERT_RECIPIENT
, to store the recipients of an alert.
November 2019
We now add system data to the TICKET
table. Each new system data column will have the prefix system_
(for example, system_location
).
The Zendesk connector now supports priority-first sync. Priority-first syncs fetch your most recent data first so that it's quickly ready for you to use. Zendesk's priority-first syncs fetch the most recent 15 days' worth of data from the TICKET
table and its child tables.
To learn more, see our priority-first sync documentation.
July 2019
We have stopped syncing data to the TICKET_METRIC_EVENT
table.
June 2019
We now exclude the ORGANIZATION_MEMBERSHIP
table from the sync by default because it can be a large table and may degrade performance. To sync the ORGANIZATION_MEMBERSHIP
table, go to the Schema tab of your Fivetran dashboard and select it.
April 2019
In order to make it possible to create accurate measures of ticket metrics and SLA policy violations, we have now improved the way SCHEDULEs are represented. Previously, we added start_time_utc
and end_time_utc
columns to the SCHEDULE
table, but that did not account for daylight saving time. We have now added new tables to accurately calculate the schedule in the applicable time zone throughout the year. To implement these improvements, we have made the following schema changes:
Added a new table,
DAYLIGHT_TIME
, with the following columns:daylight_end_utc
daylight_offset
daylight_start_utc
time_zone
year
Added a new table,
TIME_ZONE
, with the following columns:standard_offset
time_zone
March 2019
You can now configure your Zendesk Support connector through the Fivetran REST API. This feature is in BETA and available only for Standard and Enterprise accounts.
We have deprecated the TICKET_METRIC_EVENT
table. We will stop syncing this table after May 1, 2019. The table will be replaced by the SLA_POLICY_HISTORY
and TICKET_SLA_POLICY
tables.
We have added a new table, SLA_POLICY_HISTORY
with the following columns:
id
updated_at
title
description
position
created_at
We have added a new table, TICKET_SLA_POLICY
with the following columns:
sla_policy_id
ticket_id
policy_applied_at
February 2019
We have added a new table, TICKET_CUSTOM_FIELD
, with id
and title
columns. For custom fields, TICKET_FIELD_HISTORY.field_name
is a field ID that references TICKET_CUSTOM_FIELD.id
.
January 2019
We have added the following new columns to the BRAND
table:
has_help_center
help_center_state
logo_content_type
logo_content_url
logo_file_name
logo_id
logo_mapped_content_url
logo_size
logo_url
November 2018
We have dropped the deleted
column from the GROUP
table.
September 2018
The ticket_id
and created_at
columns are now the primary keys for the TICKET_SCHEDULE
table. This change accounts for cases where a ticket is repeatedly assigned to a schedule.
In cases where multiple schedule assignment events are triggered in a single ticket audit, we now only create a record in the TICKET_SCHEDULE
table for the final schedule assignment event.
We now use a Zendesk-supplied list of 100+ time zone names to map times in the TICKET_SCHEDULE
table to UTC.
We have added two new columns, via_source_to_name
and via_source_to_address
, to the TICKET_EVENT
and TICKET
tables.
August 2018
We now sync ticket metric event data in the TICKET_METRIC_EVENT
table.
We now sync SLA policy data in the SLA_POLICY_HISTORY
table.
We now sync SLA policy metric data in the SLA_POLICY_METRIC_HISTORY
table.
We now include the TICKET_FORM_HISTORY
table in your syncs.
July 2018
We have added a new table, DOMAIN_NAME
.
We now sync schedule_id
data for tickets in a new table called TICKET_SCHEDULE
.
June 2018
We have added two new columns, start_time_utc
and end_time_utc
, to the SCHEDULE
table. These two columns make it easier to calculate ticket metrics that depend on working hours. The column units are minutes from Sunday at midnight UTC. For example, a column value of 720
is equivalent to Sunday at noon UTC because it is 720 minutes later than Sunday at midnight (12 hours * 60 minutes).
May 2018
Zendesk uses various non-standard time formats in different regions. We can now parse non-standard times like Mon Jan 1 2018, 00:00:00 GMT-0300 (Hora oficial do Brasil)
and Mon Apr 30 2018 15:44:04 GMT+0000
when they come from Zendesk.