to() function

The to() function writes data to an InfluxDB v2.0 bucket.

Function type: Output

to(
  bucket: "my-bucket",
  org: "my-org",
  timeColumn: "_time",
  tagColumns: ["tag1", "tag2", "tag3"],
  fieldFn: (r) => ({ [r._field]: r._value })
)

// OR

to(
  bucketID: "1234567890",
  orgID: "0987654321",
  timeColumn: "_time",
  tagColumns: ["tag1", "tag2", "tag3"],
  fieldFn: (r) => ({ [r._field]: r._value })
)

Output data requirements

The to() function converts output data into line protocol and writes it to InfluxDB. Line protocol requires each record to have a timestamp, a measurement, a field, and a value. All output data must include the following columns:

• _time
• _measurement
• _field
• _value

Parameters

bucket

The bucket to write data to. bucket and bucketID are mutually exclusive.

Data type: String

bucketID

The ID of the bucket to write data to. bucketID and bucket are mutually exclusive.

Data type: String

org

The organization name of the specified bucket. org and orgID are mutually exclusive.

Data type: String

orgID

The organization ID of the specified bucket. orgID and org are mutually exclusive.

Data type: String

timeColumn

Time column of the output. Default is "_time".

Data type: String

tagColumns

Tag columns in the output. Defaults to all columns with type string, excluding all value columns and columns identified by fieldFn.

Data type: Array of strings

fieldFn

Function that takes a record from the input table and returns a record. For each record from the input table, fieldFn returns a record that maps the output field key to the output value. Default is (r) => ({ [r._field]: r._value })

Data type: Function Output data type: Record

Examples

Default to() operation

Given the following table:

The default to operation:

// ...
|> to(bucket:"my-bucket", org:"my-org")

is equivalent to writing the above data using the following line protocol:

_measurement=a temp=100.1 0005
_measurement=a temp=99.3 0006
_measurement=a temp=99.9 0007

Custom to() operation

The to() functions default operation can be overridden. For example, given the following table:

The operation:

// ...
|> to(
  bucket:"my-bucket",
  org:"my-org",
  tagColumns:["tag1"],
  fieldFn: (r) => ({"hum": r.hum, "temp": r.temp})
)

is equivalent to writing the above data using the following line protocol:

_tag1=a hum=55.3,temp=100.1 0005
_tag1=a hum=55.4,temp=99.3 0006
_tag1=a hum=55.5,temp=99.9 0007