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Target Columns: Add & Modify Data Schema Entries

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The Target Columns endpoint provides all available Data Schema Columns.

List Target Columns

Perform a GET request to list all available entries.

curl -X GET \
 https://YOUR_STACK.datatap.adverity.com/api/target-columns/ \
 -H 'Authorization: Token TOKEN_VALUE' \

Result (cropped for 1 entry)

{
 "count": XX,
 "next": null,
 "previous": null,
 "results": [
 {
 "id": ENTRY_ID,
 "name": "ENTRY_NAME",
 "usage": "DIMENSION/METRIC",
 "mappings": "https://YOUR_STACK.datatap.adverity.com/api/target-columns/ENTRY_ID/mappings/",
 "type": "TYPE",
 "length": "LENGTH"/null,
 "measure": "MEASURE"/null,
 "url": "https://YOUR_STACK.datatap.adverity.com/api/target-columns/ENTRY_ID/",
 "stack": STACK_ID
 }
 ]
}

 

Create A New Target Column

Perform an OPTIONS call to see all available options for type, stack measure, length.

It might initially make sense to get familiar with the Data Schema Entry creation within the UI, as described here. Examples of types might be: String, Float, Long, Date etc. As in the UI, within the name, only lower case characters, digits and '_' are allowed. 

curl -X POST \
 https://YOUR_STACK.datatap.adverity.com/api/target-columns/ \
 -H 'Authorization: Token TOKEN_VALUE' \
 -d '{"type":"TYPE","name":"ENTRY_NAME","stack":STACK_ID}'

Result

{
 "id": ENTRY_ID,
 "name": "ENTRY_NAME",
 "usage": "dimension",
 "mappings": "https://YOUR_STACK.datatap.adverity.com/api/target-columns/ENTRY_ID/mappings/",
 "type": "TYPE",
 "length": "LENGTH"/null,
 "measure": "MEASURE"/null,
 "url": "https://YOUR_STACK.datatap.adverity.com/api/target-columns/ENTRY_ID/",
 "stack": STACK_ID
}

 

Modify or Delete Target Column

Using the ENTRY_ID of a specific entry, it can be modified or deleted.

To modify, perform a PATCH request with the specific ENTRY_ID, e.g. to change its name and turn it into a float metric.

curl -X PATCH \
 https://YOUR_STACK.datatap.adverity.com/api/target-columns/ENTRY_ID/ \
 -H 'Authorization: Token TOKEN_VALUE' \
 -d '{"type":"Float","name":"METRIC_FLOAT_ENTRY","measure":"SUM"}'

To delete a Data Schema entry, perform a DELETE request. 

curl -X DELETE \
 https://YOUR_STACK.datatap.adverity.com/api/target-columns/ENTRY_ID/ \
 -H 'Authorization: Token TOKEN_VALUE' \
Warning: Please note that deleted entries cannot be recovered - use with caution!

To get mappings:

{
 "count": XX,
 "next": null,
 "previous": null,
 "results": [
 {
 "id": MAPPING_ID,
 "source_column_name": "SOURCE_NAME",
 "source_content_type": SOURCE_CONTENT_TYPE,
 "target_column": {
 "id": ENTRY_ID,
 "name": "ENTRY_NAME",
 "usage": "DIMENSION/METRIC",
 "mappings": "https://YOUR_STACK.datatap.adverity.com/api/target-columns/ENTRY_ID/mappings/",
 "type": "TYPE",
 "length": "LENGTH"/null,
 "measure": "MEASURE"/null,
 "url": "https://YOUR_STACK.datatap.adverity.com/api/target-columns/ENTRY_ID/",
 "stack": STACK_ID
 },
 "is_key_column": false
 }
 ]
}

 

Update Target Column Mappings (Defaults)

To update mappings, first perform an OPTIONS call to see all available source content type options. Please note that relevant source content types start with ID 71.
curl -X PATCH \
 https://YOUR_STACK.datatap.adverity.com/api/target-columns/ENTRY_ID/mappings/MAPPING_ID/ \
 -H 'Authorization: Token TOKEN_VALUE' \
 -d '{"source_content_type":"SOURCE_CONTENT_TYPE","source_column_name":"SOURCE_NAME"}'

 

Delete Target Column Mapping

To delete a mapping, perform a DELETE request.
curl -X DELETE \
 https://YOUR_STACK.datatap.adverity.com/api/target-columns/ENTRY_ID/mappings/MAPPING_ID/ \
 -H 'Authorization: Token TOKEN_VALUE' \

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