# Use multiple fields in a calculation

To use values from multiple fields in a mathematic calculation, complete the following steps:

## Filter by fields

Use `filter()` to return only the fields necessary for your calculation. Use the `or` logical operator to filter by multiple fields.

The following example queries two fields, `A` and `B`:

``````from(bucket: "example-bucket")
|> range(start: -1m)
|> filter(fn: (r) => r._field == "A" or r._field == "B")
``````

This query returns one or more tables for each field. For example:

_time_field_value
2021-01-01T00:00:00ZA12.4
2021-01-01T00:00:15ZA12.2
2021-01-01T00:00:30ZA11.6
2021-01-01T00:00:45ZA11.9
_time_field_value
2021-01-01T00:00:00ZB3.1
2021-01-01T00:00:15ZB4.8
2021-01-01T00:00:30ZB2.2
2021-01-01T00:00:45ZB3.3

## Pivot fields into columns

Use `pivot()` to align multiple fields by time.

To correctly pivot on `_time`, points for each field must have identical timestamps. If timestamps are irregular or do not align perfectly, see Normalize irregular timestamps.

``````// ...
|> pivot(rowKey: ["_time"], columnKey: ["_field"], valueColumn: "_value")
``````

Using the queried data above, this `pivot()` function returns:

_timeAB
2021-01-01T00:00:00Z12.43.1
2021-01-01T00:00:15Z12.24.8
2021-01-01T00:00:30Z11.62.2
2021-01-01T00:00:45Z11.93.3

## Perform the calculation

Use `map()` to perform the mathematic operation using column values as operands.

The following example uses values in the `A` and `B` columns to calculate a new `_value` column:

``````// ...
|> map(fn: (r) => ({ r with _value: r.A * r.B }))
``````

Using the pivoted data above, this `map()` function returns:

_timeAB_value
2021-01-01T00:00:00Z12.43.138.44
2021-01-01T00:00:15Z12.24.858.56
2021-01-01T00:00:30Z11.62.225.52
2021-01-01T00:00:45Z11.93.339.27

## Full example query

``````from(bucket: "example-bucket")
|> range(start: -1m)
|> filter(fn: (r) => r._field == "A" or r._field == "B")
|> pivot(rowKey: ["_time"], columnKey: ["_field"], valueColumn: "_value")
|> map(fn: (r) => ({r with _value: r.A * r.B}))
``````

### 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.

### 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:

### State of the InfluxDB Cloud Serverless documentation

InfluxDB Cloud Serverless documentation is a work in progress.

The new documentation for InfluxDB Cloud Serverless is a work in progress. We are adding new information and content almost daily. Thank you for your patience!

If there is specific information you’re looking for, please submit a documentation issue.