Extract Nested Data
The Extract Nested Data component flattens nested data into rows. This is generally done by taking nested data in the form of key:value pairs (such as a JSON dictionary) and using those keys as column names.
The flow into this component should include a single variant-type column that is to be unpacked.
Name = string
A human-readable name for the component.
Include Input Columns = boolean
Choose whether to include input columns.
Columns = data structure
Define the variant's structure. Unique endpoints in this structure will be unpacked into columns. The variant from the input can usually be automatically detected, and its structure will be displayed to allow selection of elements.
To select an element, click its checkbox. To select every element in the variant, click Select all.
To edit an element, click the Actions button, . . . , next to the element, and then click Edit element. To add a new element, click the Actions button next to the VARIANT heading at the top of the structure, and then click Add element. Each element should be assigned a unique Key, a Type, and an Alias.
To delete an element, click the Actions button next to it and click Delete element.
Click Save when you have finished editing and selecting elements.
Outer Join = boolean
If False (the default), any input rows that can't be expanded, either because they can't be accessed in the path or because they have zero fields or entries, are completely omitted from the output. If True, a single row is generated for expansions with zero rows.
Input Alias = string
If two properties have identical names, one will be given this prefix to differentiate them. More than two identically named properties will result in an error. The default is i, and this does not need changing in the vast majority of use cases.
Array Prefix = string
If two array structures have identical names, one will be given this prefix to differentiate them. More than two identically named structures will result in an error. The default is f, and this does not need changing in the vast majority of use cases.
Casting Method = drop-down
Select the casting method:
- Fail on invalid data (default)
- Replace all unparseable values with null
- Replace unparseable dates and timestamps with null
Case Columns Alias Names = drop-down
Set the casing for alias columns names. Settings include Lower, No, or Upper. The default is No.