monitor.deadman() function
monitor.deadman() detects when a group stops reporting data.
It takes a stream of tables and reports if groups have been observed since time t.
monitor.deadman() retains the most recent row from each input table and adds a dead column.
If a record appears after time t, monitor.deadman() sets dead to false.
Otherwise, dead is set to true.
Function type signature
(<-tables: stream[{B with _time: C}], t: A) => stream[{B with dead: bool, _time: C}] where A: Comparable, C: ComparableFor more information, see Function type signatures.
Parameters
t
(Required) Time threshold for the deadman check.
tables
Input data. Default is piped-forward data (<-).
Examples
- Detect if a host hasn’t reported since a specific time
- Detect if a host hasn’t reported since a relative time
Detect if a host hasn’t reported since a specific time
import "array"
import "influxdata/influxdb/monitor"
data =
array.from(
rows: [
{_time: 2021-01-01T00:00:00Z, host: "a", _value: 1.2},
{_time: 2021-01-01T00:01:00Z, host: "a", _value: 1.3},
{_time: 2021-01-01T00:02:00Z, host: "a", _value: 1.4},
{_time: 2021-01-01T00:03:00Z, host: "a", _value: 1.3},
],
)
|> group(columns: ["host"])
data
|> monitor.deadman(t: 2021-01-01T00:05:00Z)Detect if a host hasn’t reported since a relative time
Use date.add() to return a time value relative to a specified time.
import "influxdata/influxdb/monitor"
import "date"
from(bucket: "example-bucket")
|> range(start: -10m)
|> filter(fn: (r) => r._measurement == "example-measurement")
|> monitor.deadman(t: date.add(d: -5m, to: now()))Was this page helpful?
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