influxdb/iox_data_generator/schemas/telegraf.toml

name = "demo_schema"
base_seed = "correct horse battery staple"

# the most basic spec with no auto generating of agents, measurements, tags or fields
[[agents]]
name = "demo"
sampling_interval = "10s"

  [[agents.measurements]]
  name = "some_measurement"

    [[agents.measurements.tags]]
    name = "foo"
    value = "bar"

    [[agents.measurements.fields]]
    name = "field1"
    # it's a boolean field, the true means to generate the boolean randomly with equal probability
    bool = true

    [[agents.measurements.fields]]
    name = "field2"
    # it's an i64 field, values will be generated using a pseudo random number generator
    # with a set seed and values in the range [3, 200). Setting it to [3, 3] or [3, 4] will
    # make the value always be 3
    i64_range = [3, 200]

    [[agents.measurements.fields]]
    name = "field3"
    # it's an i64 field, values will be generated using a pseudo random number generator
    # with a set seed  and values in the range in the range [1000, 5000)
    i64_range = [1000, 5000]
    # The value after each same will be incremented by the next random amount. This is
    # useful when simulating a counter.
    increment = true

    [[agents.measurements.fields]]
    name = "field4"
    # it's an f64 field, values will be generated using a pseudo random number generator
    # with a set seed with values in the range [0.0, 100.0). Setting both values to the same
    # number will make every value that number.
    f64_range = [0.0, 100.0]

    [[agents.measurements.fields]]
    name = "field5"
    # this is a string field. Parts of the string will be replaced. {{agent_name}} will be replaced
    # with the name of the agent, {{random 200}} will be replaced with a random alphanumeric string
    # of the length specified. {{format-time "%Y-%m-%d %H:%M"}} will be replaced with the time for
    # this line in the simulation (that is, the same value that this line will have for its
    # timestamp) formatted using a strftime specifier. Other patterns will be looked for based on
    # the keys in replacements.
    pattern = "{{agent_name}} foo {{level}} {{format-time \"%Y-%m-%d %H:%M\"}} {{random 200}}"
    # each key in string replacements will be replaced in the pattern with a value randomly
    # selected from the array of strings. Specify a weight as an integer greater than 1 to change
    # the probability that a given string will be selected.
    replacements = [
      {replace = "color", with = ["red", "blue", "green"]},
      {replace = "level", with = [
        ["info", 800],
        ["warn", 195],
        ["error", 5]
      ]}
    ]

[[agents]]
name = "some-server-{{agent_id}}"
count = 10
sampling_interval = "22s"

# Optional: every measurement (row) this agent produces will include a tag with the agent_id filled
# in:
# agent_name=some-server-{{agent_id}}
name_tag_key = "agent_name"

# Optional: these values will be rotated through so that each agent that gets created will have one.
# e.g: the first agent will always inject region=us-west and secnod will be region=us-east, etc.
tags = [
  {key = "region", values = ["us-west", "us-east", "dublin", "frankfurt"]},
  {key = "foo", values = ["bar", "asdf"]},
]

  [[agents.measurements]]
  name = "few-tags-measurement-{{measurement_id}}"
  count = 20
    [[agents.measurements.tags]]
    # {{measurement_id}} will be replaced with the id of the measurement this tag is for
    name = "tag-1-{{measurement_id}}"
    value = "value-1"

    [[agents.measurements.tags]]
    name = "tag-2"
    # {{cardinality}} will be replaced with the cardinality counter
    value = "value-{{cardinality}}"
    # Optional: This means each collection on this agent will have 4 rows of this measurement with
    # unique values for this tag. This could be for things like org_id as a tag or for
    # something like cpu measurements in Telegraf where you have a separate line for each cpu:
    #   cpu,cpu=cpu-total,host=foo usage_user=23.2,usage_system=33.3
    #   cpu,cpu=cpu-0,host=foo usage_user=22.2,usage_system=34.5
    #   cpu,cpu=cpu-1,host=foo usage_user=11.2,usage_system=56.5
    cardinality = 4

    [[agents.measurements.tags]]
    name = "tag-3"
    # {{counter}} will be replaced with the increment counter
    value = "value-{{counter}}"
    # Optional: This means that {{counter}} will increase by 1 after every 10 samples that are
    # pulled.
    # This option simulates temporal tag values like process IDs or container IDs in tags
    increment_every = 10

    [[agents.measurements.tags]]
    name = "tag-4"
    # {{counter}} will be replaced with the increment counter and {{cardinality}} will be replaced
    # with the cardinality counter
    value = "value-{{counter}}-{{cardinality}}"
    # Optional: This means that {{counter}} will increment by 1 after every 100 samples that are
    # pulled.
    # This option simulates temporal tag values like process IDs or container IDs in tags
    increment_every = 100
    # when paired with cardinality, this can simulate having many containers running on a single
    # host
    cardinality = 10

    [[agents.measurements.fields]]
    name = "field-2"
    bool = true

  # This example shows generating 10 different measurements that each have their own set of
  # tags (10 of them) and each have their own set of fields (4 of them)
  [[agents.measurements]]
  name = "mid-tags-measurement-{{measurement_id}}"
  count = 10
    [[agents.measurements.tags]]
    name = "tag-{{tag_id}}-{{measurement_id}}"
    count = 10
    value = "value-{{cardinality}}"
    cardinality = 3

    [[agents.measurements.fields]]
    name = "field-1"
    bool = true