EXAMPLE - ARRAYSTOMAP Function

Source:

Your dataset contains master product data with product properties stored in two arrays of keys and values.

Transform:

When the above data is loaded into the Transformer page, you might need to clean up the two array columns. 

Using the following transform, you can map the first element of the first array as a key for the first element of the second, which is its value. You might notice that the number of keys and the number of values are not consistent. For the extra elements in the second array, the default key of ProdMiscProperties is used:

derive type:single value: ARRAYSTOMAP(ProdProperties, ProdValues, 'ProdMiscProperties') as: 'prodPropertyMap'

drop col:ProdKeys

derive type:single value:KEYS(prodPropertyMap) as:'ProdKeys'

Results:

{
  "type": [ "crew" ],
  "color": [ "blue" ],
  "fabric": [ "cotton" ],
  "sizes": [ "S,M,L" ],
  "ProdMiscProperties": [ "in stock", "padded" ] }

{
  "type": [ "v-neck" ],
  "color": [ "white" ],
  "fabric": [ "blend" ],
  "sizes": [ "S,M,L,XL" ],
  "ProdMiscProperties": [ "in stock", "discount - seasonal" ] }

{
  "type": [ "tank" ],
  "color": [ "red" ],
  "fabric": [ "mesh" ],
  "sizes": [ "XS,S,M" ],
  "ProdMiscProperties": [ "discount - clearance", "in stock" ] }

{
  "type": [ "turtle" ],
  "color": [ "black" ],
  "fabric": [ "cotton" ],
  "sizes": [ "M,L,XL" ],
  "ProdMiscProperties": [ "out of stock", "padded" ] }