Filters

Returns data about all filters.

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.

Id supports the '=' operator.
Type supports the '=' operator.

For example, the following query is processed server side:

SELECT * FROM Filters WHERE Id = 39

INSERT

Insert can be executed by specifying the Name, Conditions and Type columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO Filters (Name, Conditions, Type) VALUES ('Indias Filter', '{"glue": "and","conditions": [{"glue": "and","conditions": [{"object": "organization","field_id": "4020"}]}]}', 'deals')

UPDATE

Update can be executed by specifying the Id in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE Filters SET Name = 'Updating Pipedrive filters', Conditions = '{"glue": "and","conditions": [{"glue": "or","conditions": [{"object": "organization123","field_id": "4021"}]}]}' WHERE Id = 39

DELETE

Delete can be executed by specifying the Id in the WHERE Clause. For example:

DELETE FROM Filters WHERE Id = 10

Columns


Name	Type	ReadOnly	Description
Id [KEY]	Integer	True	The ID of the filter.
ActiveFlag	Boolean	True	ActiveFlag.
AddTime	Datetime	True	AddTime.
CustomViewId	String	True	CustomViewId.
Name	String	False	The name of the filter.
TemporaryFlag	String	True	TemporaryFlag.
Type	String	False	The types of filters to fetch. The allowed values are deals, org, people, products, activity.
UpdateTime	String	True	UpdateTime.
UserId	Integer	True	UserId.
VisibleTo	Integer	True	VisibleTo.

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
Conditions	String	The conditions of the filter as a JSON object.