=============
Inline Config
=============

This example takes an input value that is a byte array and reads this value based on the supplied schema to a Kafka Connect value. The result is data that is based on the schema



.. code-block:: json
    :caption: Configuration

    {
      "transforms" : "fromJson",
      "transforms.fromJson.type" : "com.github.jcustenborder.kafka.connect.json.FromJson$Value",
      "transforms.fromJson.json.schema.location" : "Inline",
      "transforms.fromJson.json.schema.inline" : "{\n  \"$id\": \"https://example.com/person.schema.json\",\n  \"$schema\": \"http://json-schema.org/draft-07/schema#\",\n  \"title\": \"Person\",\n  \"type\": \"object\",\n  \"properties\": {\n    \"firstName\": {\n      \"type\": \"string\",\n      \"description\": \"The person's first name.\"\n    },\n    \"lastName\": {\n      \"type\": \"string\",\n      \"description\": \"The person's last name.\"\n    },\n    \"age\": {\n      \"description\": \"Age in years which must be equal to or greater than zero.\",\n      \"type\": \"integer\",\n      \"minimum\": 0\n    }\n  }\n}"
    }

.. code-block:: json
    :caption: Input
    

    {
      "topic" : "foo",
      "kafkaPartition" : 1,
      "keySchema" : {
        "type" : "STRING",
        "isOptional" : false
      },
      "key" : "foo",
      "valueSchema" : {
        "type" : "BYTES",
        "isOptional" : false
      },
      "value" : "ewogICJmaXJzdE5hbWUiOiAiSm9obiIsCiAgImxhc3ROYW1lIjogIkRvZSIsCiAgImFnZSI6IDIxCn0=",
      "timestamp" : 1530286549123,
      "timestampType" : "CREATE_TIME",
      "offset" : 91283741,
      "headers" : [ ]
    }

Change(s) in the output are emphasized if delta(s) are detected.

.. code-block:: json
    :caption: Output
    :emphasize-lines: 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79

    {
      "topic" : "foo",
      "kafkaPartition" : 1,
      "keySchema" : {
        "type" : "STRING",
        "isOptional" : false
      },
      "key" : "foo",
      "valueSchema" : {
        "name" : "Person",
        "type" : "STRUCT",
        "isOptional" : false,
        "fieldSchemas" : {
          "age" : {
            "doc" : "Age in years which must be equal to or greater than zero.",
            "type" : "INT64",
            "isOptional" : true
          },
          "firstName" : {
            "doc" : "The person's first name.",
            "type" : "STRING",
            "isOptional" : true
          },
          "lastName" : {
            "doc" : "The person's last name.",
            "type" : "STRING",
            "isOptional" : true
          }
        }
      },
      "value" : {
        "schema" : {
          "name" : "Person",
          "type" : "STRUCT",
          "isOptional" : false,
          "fieldSchemas" : {
            "age" : {
              "doc" : "Age in years which must be equal to or greater than zero.",
              "type" : "INT64",
              "isOptional" : true
            },
            "firstName" : {
              "doc" : "The person's first name.",
              "type" : "STRING",
              "isOptional" : true
            },
            "lastName" : {
              "doc" : "The person's last name.",
              "type" : "STRING",
              "isOptional" : true
            }
          }
        },
        "fieldValues" : [ {
          "name" : "age",
          "schema" : {
            "doc" : "Age in years which must be equal to or greater than zero.",
            "type" : "INT64",
            "isOptional" : true
          },
          "storage" : 21
        }, {
          "name" : "firstName",
          "schema" : {
            "doc" : "The person's first name.",
            "type" : "STRING",
            "isOptional" : true
          },
          "storage" : "John"
        }, {
          "name" : "lastName",
          "schema" : {
            "doc" : "The person's last name.",
            "type" : "STRING",
            "isOptional" : true
          },
          "storage" : "Doe"
        } ]
      },
      "timestamp" : 1530286549123,
      "timestampType" : "CREATE_TIME",
      "offset" : 91283741,
      "headers" : [ ]
    }