Hi,
I have a scenario where I have few columns have null value few not. Objective is to not to bring in columns with null value for each records.
source:
| id | a | b | c | d | e |
|---|---|---|---|---|---|
| abc | null | 1 | 2 | null | null |
| def | 11 | null | 22 | 33 | null |
| ijk | 111 | 222 | null | 333 | 444 |
| lmo | null | null | null | null | 5555 |
Expected:
abc 1 2
samething with other records as well. Does anyone know any trick on this? Please let me know.
Regards,
Amar.
Hi @amardeep2021
As @cjhoward18 mentioned, you can achieve this by using “filter”.
Here is the input of the file:
Expression in mapper:
Output:
BR,
Marjan
Hi,
You can achieve this by using a mapper snap with the following expression:
$.filter(value => value != null) mapped to the target path $
this will filter all values out that equal null, keeping only the key-value pairs in which the value is not null.
Keep in mind this will only work for 1 level of nesting as I noticed your data was. If it does need to work with nested JSON fields it would be a different expression that I can provide you with as well if needed.
Thanks Cole. Kindly share the other expression also.
Regards,
Amar.
You can use this expression:
{ filterEmptyKeys: (value, key) => value != null, cleanupTree: value => value instanceof Object ? value.mapValues(this.cleanupTree).filter(this.filterEmptyKeys) : value }.cleanupTree($)
mapped to the target path $ to remove all null values from a nested JSON object
Thanks Cole again. For the first expression, I am getting none null columns all coming as array for each rows. Is that expected?
Not sure what you mean. Can you share a version of the input-output example?
