Pivoting
- 16 Oct 2023
- 1 Minute to read
- Print
- DarkLight
- PDF
Pivoting
- Updated on 16 Oct 2023
- 1 Minute to read
- Print
- DarkLight
- PDF
Article summary
Did you find this summary helpful?
Thank you for your feedback
Pivot
When setting a connector to ingest nested data as pivot data in subtable, Panoply will transform the object or JSON string into an array of objects with two fields in each object (key & value). This will pivot the fields in the original object into rows in the end-tables.
For example, the following record contains a nested location object:
{id:1, location: {city: 'San Francisco', state: 'CA', country: 'USA'}}
When setting the location
as pivoting into subtable, it would be ingested into the location subtable in the following format:
key | value |
---|---|
city | San Francisco |
state | CA |
country | USA |
Note that pivoting the nested data is applicable for nested objects only, not for nested lists.
Notes
- This option is only available for BigQuery accounts
- This option is not available for the default nested data configuration
The nested data behavior exists directly in the data sources. Enter specific field paths and set their nested behavior to pivot data in subtable.
Was this article helpful?