The JsonPathReader Controller Service, parses FlowFiles that are in the JSON format. User-defined properties specify how to extract all relevant fields from the JSON in order to create a Record. The Controller Service will not be valid unless at least one JSON Path is provided. Unlike the JsonTreeReader Controller Service, this service will return a record that contains only those fields that have been configured via JSON Path.

If the root of the FlowFile's JSON is a JSON Array, each JSON Object found in that array will be treated as a separate Record, not as a single record made up of an array. If the root of the FlowFile's JSON is a JSON Object, it will be evaluated as a single Record.

Supplying a JSON Path is accomplished by adding a user-defined property where the name of the property becomes the name of the field in the Record that is returned. The value of the property must be a valid JSON Path expression. This JSON Path will be evaluated against each top-level JSON Object in the FlowFile, and the result will be the value of the field whose name is specified by the property name. If any JSON Path is given but no field is present in the Schema with the proper name, then the field will be skipped.

This Controller Service must be configured with a schema. Each JSON Path that is evaluated and is found in the "root level" of the schema will produce a Field in the Record. I.e., the schema should match the Record that is created by evaluating all of the JSON Paths. It should not match the "incoming JSON" that is read from the FlowFile.

Schemas and Type Coercion

When a record is parsed from incoming data, it is separated into fields. Each of these fields is then looked up against the configured schema (by field name) in order to determine what the type of the data should be. If the field is not present in the schema, that field is omitted from the Record. If the field is found in the schema, the data type of the received data is compared against the data type specified in the schema. If the types match, the value of that field is used as-is. If the schema indicates that the field should be of a different type, then the Controller Service will attempt to coerce the data into the type specified by the schema. If the field cannot be coerced into the specified type, an Exception will be thrown.

The following rules apply when attempting to coerce a field value from one data type to another:

If none of the above rules apply when attempting to coerce a value from one data type to another, the coercion will fail and an Exception will be thrown.

Examples

As an example, consider a FlowFile whose content contains the following JSON:

[{
    "id": 17,
    "name": "John",
    "child": {
        "id": "1"
    },
    "siblingIds": [4, 8],
    "siblings": [
        { "name": "Jeremy", "id": 4 },
        { "name": "Julia", "id": 8}
    ]
  },
  {
    "id": 98,
    "name": "Jane",
    "child": {
        "id": 2
    },
    "gender": "F",
    "siblingIds": [],
    "siblings": []
  }]
		

And the following schema has been configured:

{
	"namespace": "nifi",
	"name": "person",
	"type": "record",
	"fields": [
		{ "name": "id", "type": "int" },
		{ "name": "name", "type": "string" },
		{ "name": "childId", "type": "long" },
		{ "name": "gender", "type": "string" },
		{ "name": "siblingNames", "type": {
			"type": "array",
			"items": "string"
		}}
	]
}
        

If we configure this Controller Service with the following user-defined properties:

Property Name Property Value
id $.id
name $.name
childId $.child.id
gender $.gender
siblingNames $.siblings[*].name

In this case, the FlowFile will generate two Records. The first record will consist of the following key/value pairs:

Field Name Field Value
id 17
name John
childId 1
gender null
siblingNames array of two elements: Jeremy and Julia

The second record will consist of the following key/value pairs:

Field Name Field Value
id 98
name Jane
childId 2
gender F
siblingNames empty array