telegraf/plugins/parsers/json

JSON

The JSON data format parses a JSON object or an array of objects into metric fields.

NOTE: All JSON numbers are converted to float fields. JSON String are ignored unless specified in the tag_key or json_string_fields options.

Configuration

[[inputs.file]]
  files = ["example"]

  ## Data format to consume.
  ## Each data format has its own unique set of configuration options, read
  ## more about them here:
  ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
  data_format = "json"

  ## Query is a GJSON path that specifies a specific chunk of JSON to be
  ## parsed, if not specified the whole document will be parsed.
  ##
  ## GJSON query paths are described here:
  ##   https://github.com/tidwall/gjson#path-syntax
  json_query = ""

  ## Tag keys is an array of keys that should be added as tags.
  tag_keys = [
    "my_tag_1",
    "my_tag_2"
  ]

  ## String fields is an array of keys that should be added as string fields.
  json_string_fields = []

  ## Name key is the key to use as the measurement name.
  json_name_key = ""

  ## Time key is the key containing the time that should be used to create the
  ## metric.
  json_time_key = ""

  ## Time format is the time layout that should be used to interprete the
  ## json_time_key.  The time must be `unix`, `unix_ms` or a time in the
  ## "reference time".
  ##   ex: json_time_format = "Mon Jan 2 15:04:05 -0700 MST 2006"
  ##       json_time_format = "2006-01-02T15:04:05Z07:00"
  ##       json_time_format = "unix"
  ##       json_time_format = "unix_ms"
  json_time_format = ""

json_query

The json_query is a GJSON path that can be used to limit the portion of the overall JSON document that should be parsed. The result of the query should contain a JSON object or an array of objects.

Consult the GJSON path syntax for details and examples.

json_time_key, json_time_format

By default the current time will be used for all created metrics, to set the time using the JSON document you can use the json_time_key and json_time_format options together to set the time to a value in the parsed document.

The json_time_key option specifies the key containing the time value and json_time_format must be set to unix, unix_ms, or the Go "reference time" which is defined to be the specific time: Mon Jan 2 15:04:05 MST 2006.

Consult the Go time package for details and additional examples on how to set the time format.

Examples

Basic Parsing

Config:

[[inputs.file]]
  files = ["example"]
  name_override = "myjsonmetric"
  data_format = "json"

Input:

{
    "a": 5,
    "b": {
        "c": 6
    },
    "ignored": "I'm a string"
}

Output:

myjsonmetric a=5,b_c=6

Name, Tags, and String Fields

Config:

[[inputs.file]]
  files = ["example"]
  name_key = "name"
  tag_keys = ["my_tag_1"]
  string_fields = ["my_field"]
  data_format = "json"

Input:

{
    "a": 5,
    "b": {
        "c": 6,
        "my_field": "description"
    },
    "my_tag_1": "foo",
    "name": "my_json"
}

Output:

my_json,my_tag_1=foo a=5,b_c=6,my_field="description"

Arrays

If the JSON data is an array, then each object within the array is parsed with the configured settings.

Config:

[[inputs.file]]
  files = ["example"]
  data_format = "json"
  json_time_key = "b_time"
  json_time_format = "02 Jan 06 15:04 MST"

Input:

[
    {
        "a": 5,
        "b": {
            "c": 6,
            "time":"04 Jan 06 15:04 MST"
        },
    },
    {
        "a": 7,
        "b": {
            "c": 8,
            "time":"11 Jan 07 15:04 MST"
        },
    }
]

Output:

file a=5,b_c=6 1136387040000000000
file a=7,b_c=8 1168527840000000000

Query

The json_query option can be used to parse a subset of the document.

Config:

[[inputs.file]]
  files = ["example"]
  data_format = "json"
  tag_keys = ["first"]
  json_string_fields = ["last"]
  json_query = "obj.friends"

Input:

{
    "obj": {
        "name": {"first": "Tom", "last": "Anderson"},
        "age":37,
        "children": ["Sara","Alex","Jack"],
        "fav.movie": "Deer Hunter",
        "friends": [
            {"first": "Dale", "last": "Murphy", "age": 44},
            {"first": "Roger", "last": "Craig", "age": 68},
            {"first": "Jane", "last": "Murphy", "age": 47}
        ]
    }
}

Output:

file,first=Dale last="Murphy",age=44
file,first=Roger last="Craig",age=68
file,first=Jane last="Murphy",age=47