# This schema tests what load looks like with many measurements (2,000). If pointed at a single database
# with the configured 20 agents at 10s sampling, it will send an average of 2 requests/second (representing
# 16k rows) with 4.1MB/second of LP being written. Each agent writes 8k lines per request.
name = "many_measurements"

[[values]]
name = "some_tag"
cardinality = 2
template = "id_{{id}}_{{random 15}}"
has_one = ["extra_static"]

[[values]]
name = "child_tag"
cardinality = 2
belongs_to = "some_tag"
has_one = ["rotation"]
template = "id_{{id}}_{{random 10}}"

[[values]]
name = "rotation"
cardinality = 3
template = "id_{{id}}_{{guid}}"

[[values]]
name = "extra_static"
cardinality = 1
template = "whatever-constant-value"

[[tag_sets]]
name = "first_set"
for_each = [
    "some_tag",
    "some_tag.extra_static",
    "some_tag.child_tag",
    "child_tag.rotation",
]

[[agents]]
name = "first_agent"
tag_pairs = [
    {key = "agent_id", template = "{{agent.id}}"}
]

[[agents.measurements]]
name = "main_measurement_{{measurement.id}}"
count = 2000
tag_set = "first_set"
tag_pairs = [
    {key = "measurement_id", template = "{{measurement.id}}"}
]

[[agents.measurements.fields]]
name = "intfield"
i64_range = [1, 100000]

[[agents.measurements.fields]]
name = "floatfield"
f64_range = [0.0, 1.0]

[[database_writers]]
agents = [{name = "first_agent", sampling_interval = "10s", count = 20}]