tickscript.join() function - Influxdb

tickscript.join() merges two input streams into a single output stream based on specified columns with equal values and appends a new measurement name.

This function is comparable to Kapacitor JoinNode.

Function type signature

(measurement: A, tables: B, ?on: [string]) => stream[{C with _measurement: A}] where B: Record, C: Record

{{% caption %}} For more information, see Function type signatures. {{% /caption %}}

Parameters

tables

({{< req >}}) Map of two streams to join.

on

List of columns to join on. Default is ["_time"].

measurement

({{< req >}}) Measurement name to use in results.

Examples

Join two streams of data

import "array"
import "contrib/bonitoo-io/tickscript"

metrics =
    array.from(
        rows: [
            {_time: 2021-01-01T00:00:00Z, host: "host1", _value: 1.2},
            {_time: 2021-01-01T01:00:00Z, host: "host1", _value: 0.8},
            {_time: 2021-01-01T02:00:00Z, host: "host1", _value: 3.2},
            {_time: 2021-01-01T00:00:00Z, host: "host2", _value: 8.4},
            {_time: 2021-01-01T01:00:00Z, host: "host2", _value: 7.3},
            {_time: 2021-01-01T02:00:00Z, host: "host2", _value: 7.9},
        ],
    )
        |> group(columns: ["host"])

states =
    array.from(
        rows: [
            {_time: 2021-01-01T00:00:00Z, host: "host1", _value: "dead"},
            {_time: 2021-01-01T01:00:00Z, host: "host1", _value: "dead"},
            {_time: 2021-01-01T02:00:00Z, host: "host1", _value: "alive"},
            {_time: 2021-01-01T00:00:00Z, host: "host2", _value: "alive"},
            {_time: 2021-01-01T01:00:00Z, host: "host2", _value: "alive"},
            {_time: 2021-01-01T02:00:00Z, host: "host2", _value: "alive"},
        ],
    )
        |> group(columns: ["host"])

tickscript.join(
    tables: {metric: metrics, state: states},
    on: ["_time", "host"],
    measurement: "example-m",
)

Output data

*_measurement	_time	_value_metric	_value_state	*host
example-m	2021-01-01T00:00:00Z	1.2	dead	host1
example-m	2021-01-01T01:00:00Z	0.8	dead	host1
example-m	2021-01-01T02:00:00Z	3.2	alive	host1

*_measurement	_time	_value_metric	_value_state	*host
example-m	2021-01-01T00:00:00Z	8.4	alive	host2
example-m	2021-01-01T01:00:00Z	7.3	alive	host2
example-m	2021-01-01T02:00:00Z	7.9	alive	host2