Example
{
"total_number_of_rows":100000,
"number_of_rows_per_batch":10,
"sinks":[],
"lookup_fields":[],
"fields":[]
}
Field | Type | Description | Possible values |
---|---|---|---|
total_number_of_rows | int | Number of rows to be generated | |
number_of_rows_per_batch | int | Number of rows to be generated per batch (parallely ) | |
sinks | array | Where to output the generated data to | |
lookup_fields | array | Field values that are generated by taking as input another field | |
fields | array | Field to be generated |
The values of the field is generated by reading a dictionary using as an input a field of the row.
Example
"lookup_fields":[
{
"lookup_name":"product_id_price",
"source_field_name":"product_id",
"mapping":{
"product1":15,
"product2":30,
"product3":70,
"product4":68,
"product5":24,
"product6":100
}
}
]
Field | Type | Description | Possible values |
---|---|---|---|
lookup_name | string | Name of the lookup | |
source_field_name | string | Name of the field that should be used for performing the lookup | |
mapping | dictionary | Dictionary that returns the lookup value for a given key(source_field_name) |