Release Notes
August 2023
We have added the following new columns to the TICKET table:
allow_attachmentsfrom_messaging_channelraw_subject
We have added the following new columns to the TICKET_CUSTOM_FIELD table:
agent_descriptionrelationship_target_typesub_type_idtag
We have added the following new columns to the USER table:
role_typeshared_phone_number
We have added the following new columns to the TICKET_COMMENT table:
metadataplain_body
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_atsla_policy_idticket_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.
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 :
AGENT_CONDITIONAGENT_CONDITION_REQUIRED_STATUSEND_USER_CONDITIONTICKET_FORM_FIELDTICKET_FORM_RESTRICTED_BRAND
March 2023
We have added two new tables, TICKET_COLLABORATOR and TICKET_FOLLOWER. We are gradually rolling out this feature to all existing connectors.
We now support TICKET_CUSTOM_STATUS table which captures .
Our Zendesk Support connector now supports .
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 .
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 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:
ADDRESSCALL_LEGCALL_LEG_QUALITY_ISSUEGREETINGGREETING_CATEGORYGREETING_IVRIVRIVR_MENUIVR_MENU_ROUTEIVR_MENU_ROUTE_OPTIONLINELINE_CATEGORISED_GREETINGLINE_GREETINGLINE_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_COMMENTTICKET_TAG_HISTORYTICKET_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 .
October 2021
We have added a new table, USER_VOTE, which stores the votes cast by a specific user. For more information, see .
September 2021
We have added the following new columns to the USER table:
default_group_idiana_time_zonereport_csv
We have added a new table, TICKET_MACRO_REFERENCE, which stores a tickets’ macro data. For more information, see .
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 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 customers.
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 or . Learn more about our dbt Core integration in our *.
* 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 .
August 2020
We have added a new table, CALL_METRIC, which stores the Zendesk Talk . 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 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 .
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.
If you wish to sync ORGANIZATION_MEMBERSHIP 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 improved how SCHEDULE's are represented. In a previous attempt, we added start_time_utc and end_time_utc to the SCHEDULE table, but that did not account for daylight savings time. Instead, we are adding new tables that make it possible to accurately calculate the schedule in the applicable time zone throughout the year. To enact these improvments, we've made the following changes:
Added new table
DAYLIGHT_TIMEwith the following fields:time_zoneyeardaylight_start_utcdaylight_end_utcdaylight_offset
Added new table
TIME_ZONEwith the following fields:time_zonestandard_offset
We will deprecate
start_time_utcandend_time_utcfields from theSCHEDULEtable after May 15, 2019.
March 2019
You can now configure your Zendesk connector through the . This feature is in BETA and available only for Standard and Enterprise accounts.
The
TICKET_METRIC_EVENTtable is deprecated. We will stop syncing this table after May 1, 2019. It will be replaced by theSLA_POLICY_HISTORYandTICKET_SLA_POLICYtables.Added new table
SLA_POLICY_HISTORYwith the following fields:idupdated_attitledescriptionpositioncreated_at
Added new table
TICKET_SLA_POLICYwith the following fields:sla_policy_idticket_idpolicy_applied_at
February 2019
Added new TICKET_CUSTOM_FIELD table with id and title fields. 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 fields to the BRAND table:
has_help_centerhelp_center_statelogo_content_typelogo_content_urllogo_file_namelogo_idlogo_mapped_content_urllogo_sizelogo_url
November 2018
We have dropped the deleted column from the GROUP table.
September 2018
- The fields
ticket_idandcreated_atare now the primary keys for theTICKET_SCHEDULEtable. 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_SCHEDULEtable for the final schedule assignment event. - We now use a Zendesk-supplied list of 100+ time zone names to map times in the
TICKET_SCHEDULEtable to UTC. - We have added two new fields,
via_source_to_nameandvia_source_to_address, to theTICKET_EVENTandTICKETtables.
August 2018
- We now sync ticket metric event data in the
TICKET_METRIC_EVENTtable. - We now sync SLA policy data in the
SLA_POLICY_HISTORYtable. - We now sync SLA policy metric data in the
SLA_POLICY_METRIC_HISTORYtable.
The TICKET_FORM_HISTORY table is now included in your Fivetran syncs.
July 2018
We now sync schedule_id data for tickets in a new table called TICKET_SCHEDULE.
We have added a new table, DOMAIN_NAME.
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.
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