Reputation: 77
Good Night.
I need to remove the zeros of "numero":
{
"cnpjemitente" : "48791685000168",
"numero" : "001262851",
"chavenfe" : "35221148791685000168550030012628511100259840",
"serie" : "3 "
}
The correct column:
{
"cnpjemitente" : "48791685000168",
"numero" : "1262851",
"chavenfe" : "35221148791685000168550030012628511100259840",
"serie" : "3 "
}
I need the leading zeros to be removed whenever possible.
Can anyone help me? Thanks
Upvotes: 0
Views: 125
Reputation: 65323
You can consecutively use the following within a JoltTransformJSON processor ;
toInteger
and toString
functions in a modify-overwrite-beta transformation spec
and then remove transformation in order to get rid of the auxiliary attribute "numero_"
such as
[
{
"operation": "modify-overwrite-beta",
"spec": {
"numero_": "=toInteger(@(1,numero))",// converts to 1262851(leading zeroes removed)
"numero": "=toString(@(1,numero_))"// converts to "1262851"(quoted)
}
},
{
"operation": "remove",
"spec": {
"numero_": ""
}
}
]
or use
toInteger
and toString
functions in each individual consecutive modify-overwrite-beta transformation specsuch as
[
{
"operation": "modify-overwrite-beta",
"spec": {
"numero": "=toInteger"// converts to 1262851
}
},
{
"operation": "modify-overwrite-beta",
"spec": {
"numero": "=toString"// converts to "1262851"
}
}
]
Upvotes: 1