Documentation

Write to InfluxDB

To write data to InfluxDB using Flux, use to() or experimental.to(). Provide the following parameters to both functions:

Write options

Write data to InfluxDB

Use to() to write data structured using the standard InfluxDB v2.x and InfluxDB Cloud data structure. Data must include, at a minimum, the following columns:

  • _time
  • _measurement
  • _field
  • _value

All other columns are written to InfluxDB as tags.

Given the following input stream of tables:

_time_measurementidloc_field_value
2021-01-01T00:00:00Zm001SFtemp72.1
2021-01-01T01:00:00Zm001SFtemp71.8
2021-01-01T02:00:00Zm001SFtemp71.2
_time_measurementidloc_field_value
2021-01-01T00:00:00Zm001SFhum40.5
2021-01-01T01:00:00Zm001SFhum50.1
2021-01-01T02:00:00Zm001SFhum52.8

to() generates the following line protocol and writes it to InfluxDB:

m,id=001,loc=SF temp=72.1,hum=40.5 1609459200000000000
m,id=001,loc=SF temp=71.8,hum=50.1 1609462800000000000
m,id=001,loc=SF temp=71.2,hum=52.8 1609466400000000000
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Example: Write data to a bucket

data
    |> to(bucket: "example-bucket")
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data
    |> to(bucket: "example-bucket", org: "example-org", token: "mY5uPeRs3Cre7tok3N")
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data
    |> to(
        bucket: "example-bucket",
        org: "example-org",
        token: "mY5uPeRs3Cre7tok3N",
        host: "https://myinfluxdbdomain.com/8086",
    )
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Write pivoted data to InfluxDB

Use experimental.to() to write pivoted data to InfluxDB. Input data must have the following columns:

  • _time
  • _measurement

All columns in the group key other than _time and _measurement are written to InfluxDB as tags. Columns not in the group key are written to InfluxDB as fields.

_start and _stop columns are ignored.

To write pivoted data to InfluxDB:

  1. Import the experimental package.
  2. Use experimental.to() to write pivoted data to an InfluxDB bucket.
import "experimental"

data
    |> experimental.to(bucket: "example-bucket")
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Given the following input stream of tables:

Group key = [_measurement, id, loc]

_time_measurementidlocminmaxmean
2021-01-01T00:00:00Zm001FR264.0
2021-01-01T01:00:00Zm001FR21810.0
2021-01-01T02:00:00Zm001FR1137.0
_time_measurementidlocminmaxmean
2021-01-01T00:00:00Zm001BK444.0
2021-01-01T01:00:00Zm001BK354.0
2021-01-01T02:00:00Zm001BK586.5

experimental.to() generates the following line protocol and writes it to InfluxDB:

m,id=001,loc=FR min=2i,max=6i,mean=4 1609459200000000000
m,id=001,loc=FR min=2i,max=18i,mean=10 1609462800000000000
m,id=001,loc=FR min=1i,max=13i,mean=7 1609466400000000000
m,id=001,loc=BK min=4i,max=4i,mean=4 1609459200000000000
m,id=001,loc=BK min=3i,max=5i,mean=4 1609462800000000000
m,id=001,loc=BK min=5i,max=3i,mean=6.5 1609466400000000000
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Example: Write pivoted data to InfluxDB

import "experimental"

data
    |> experimental.to(bucket: "example-bucket")
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import "experimental"

data
    |> experimental.to(bucket: "example-bucket", org: "example-org", token: "mY5uPeRs3Cre7tok3N")
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import "experimental"

data
    |> experimental.to(
        bucket: "example-bucket",
        org: "example-org",
        token: "mY5uPeRs3Cre7tok3N",
        host: "https://myinfluxdbdomain.com/8086",
    )
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The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Read more

InfluxDB 3 Core and Enterprise are now in Beta

InfluxDB 3 Core and Enterprise are now available for beta testing, available under MIT or Apache 2 license.

InfluxDB 3 Core is a high-speed, recent-data engine that collects and processes data in real-time, while persisting it to local disk or object storage. InfluxDB 3 Enterprise is a commercial product that builds on Core’s foundation, adding high availability, read replicas, enhanced security, and data compaction for faster queries. A free tier of InfluxDB 3 Enterprise will also be available for at-home, non-commercial use for hobbyists to get the full historical time series database set of capabilities.

For more information, check out: