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 _measurement id loc _field _value
2021-01-01T00:00:00Z m 001 SF temp 72.1
2021-01-01T01:00:00Z m 001 SF temp 71.8
2021-01-01T02:00:00Z m 001 SF temp 71.2
_time _measurement id loc _field _value
2021-01-01T00:00:00Z m 001 SF hum 40.5
2021-01-01T01:00:00Z m 001 SF hum 50.1
2021-01-01T02:00:00Z m 001 SF hum 52.8

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

Example: Write data to a bucket

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

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")

Given the following input stream of tables:

Group key = [_measurement, id, loc]

_time _measurement id loc min max mean
2021-01-01T00:00:00Z m 001 FR 2 6 4.0
2021-01-01T01:00:00Z m 001 FR 2 18 10.0
2021-01-01T02:00:00Z m 001 FR 1 13 7.0
_time _measurement id loc min max mean
2021-01-01T00:00:00Z m 001 BK 4 4 4.0
2021-01-01T01:00:00Z m 001 BK 3 5 4.0
2021-01-01T02:00:00Z m 001 BK 5 8 6.5

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

Example: Write pivoted data to InfluxDB

import "experimental"

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

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

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

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Introducing InfluxDB Clustered

A highly available InfluxDB 3.0 cluster on your own infrastructure.

InfluxDB Clustered is a highly available InfluxDB 3.0 cluster built for high write and query workloads on your own infrastructure.

InfluxDB Clustered is currently in limited availability and is only available to a limited group of InfluxData customers. If interested in being part of the limited access group, please contact the InfluxData Sales team.

Learn more
Contact InfluxData Sales

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.

Flux is going into maintenance mode and will not be supported in InfluxDB 3.0. This was a decision based on the broad demand for SQL and the continued growth and adoption of InfluxQL. We are continuing to support Flux for users in 1.x and 2.x so you can continue using it with no changes to your code. If you are interested in transitioning to InfluxDB 3.0 and want to future-proof your code, we suggest using InfluxQL.

For information about the future of Flux, see the following: