BoardDocs
Get a collection of docs from boards. This table requires specifying an Id or ObjectId filter.
Table-Specific Information
SELECT
The connector uses the Monday API to process some of the filters. The connector processes other filters client-side within the connector. You can turn off the client-side execution of the query by setting SupportEnhancedSQL to false in which case any search criteria that refers to other columns will cause inconsistent data.
Note: This table requires specifying either Id or ObjectId to retrieve data.
- Id supports the '=','IN' comparison operators.
- ObjectId supports the '=','IN' comparison operators.
SELECT * FROM BoardDocs WHERE Id = '9014425'
SELECT * FROM BoardDocs WHERE Id IN ('9014425','9014490')
SELECT * FROM BoardDocs WHERE Id IN (SELECT ColumnDocId FROM Board)
SELECT * FROM BoardDocs WHERE ObjectId = '5499548740'
SELECT * FROM BoardDocs WHERE ObjectId IN ('5499548740','5499563743')
SELECT * FROM BoardDocs WHERE ObjectId IN (SELECT ColumnObjectId FROM Board)
INSERT
The following inputs can be used in INSERT statements:
ItemId, ColumnId
INSERT INTO BoardDocs (ItemId, ColumnId) VALUES ('1647941525','monday_doc__1')
Columns
Name | Type | ReadOnly | References | Description |
Id [KEY] | String | False |
The document's unique identifier. | |
ObjectId | String | False |
The associated object's unique identifier. | |
WorkspaceId | String | False |
Workspaces.Id |
The document's workspace unique identifier (null for main workspace). |
CreatedById | String | False |
Users.Id |
The user's unique identifier. |
DocKind | String | False |
The document's kind (public / private / share). The allowed values are public, private, share. | |
Name | String | False |
The document's name. | |
RelativeUrl | String | False |
The document's relative url. | |
Settings | String | False |
The document's settings. | |
Url | String | False |
The document's direct url. | |
CreatedAt | Date | False |
The document's creation date. |
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 |
ItemId | String |
The item's unique identifier. |
ColumnId | String |
The column's unique identifier. |