InfluxDB Docs

map() function

The map() function applies a function to each record in the input tables. The modified records are assigned to new tables based on the group key of the input table. The output tables are the result of applying the map function to each record of the input tables.

When the output record contains a different value for the group key, the record is regrouped into the appropriate table. When the output record drops a column that was part of the group key, that column is removed from the group key.

Function type: Transformation
Output data type: Object

map(fn: (r) => r._value * r._value), mergeKey: true)

Dropped columns

map() drops any columns that:

  1. Are not part of the input table’s group key
  2. Are not explicitly mapped in the map() function.

This often results in the _time column being dropped. To preserve the _time column, include it in your column mapping.

map(fn: (r) => ({
    _time: r._time,



A single argument function that to apply to each record. The return value must be an object.

Data type: Function

Objects evaluated in fn functions are represented by r, short for “record” or “row”.


Indicates if the record returned from fn should be merged with the group key. When merging, all columns on the group key will be added to the record giving precedence to any columns already present on the record. When not merging, only columns defined on the returned record will be present on the output records. Defaults to true.

Data type: Boolean


Square the value of each record
  |> filter(fn: (r) =>
    r._measurement == "cpu" and
    r._field == "usage_system" and
    r.cpu == "cpu-total"
  |> range(start:-12h)
  |> map(fn: (r) => r._value * r._value)
Create a new table with new format
    |> filter(fn: (r) =>
      r._measurement == "cpu" and
      r._field == "usage_system"
    |> range(start:-12h)
    // create a new table by copying each row into a new format
    |> map(fn: (r) => ({
      _time: r._time,