CData Python Connector for Pipedrive

Build 24.0.9060

PersonsUpdatesAttendees

Get details of Deals Activities Attendees.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

  • PersonId supports the '=' operator.
  • AllChanges supports the '=' operator.
  • Items supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM PersonsUpdatesAttendees WHERE PersonId = 246 

SELECT * FROM PersonsUpdatesAttendees WHERE PersonId = 10 AND AllChanges = 1

SELECT * FROM PersonsUpdatesAttendees WHERE PersonId = 10 AND Items IN ('activity', 'plannedActivity')

Columns

Name Type Description
PersonId [KEY] Integer PersonId.
EmailAddress String EmailAddress.
IsOrganizer Integer IsOrganizer.
Name String Name.
Status String Status.
UserId String UserId.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name Type Description
AllChanges String Whether to show custom field updates or not.

The allowed values are 1.

Items String Item specific updates.

The allowed values are activity, plannedActivity, note, file, change, deal, follower, participant, mailMessage, mailMessageWithAttachment, invoice, activityFile, document.

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Build 24.0.9060