Flux is designed to be usable, readable, flexible, composable, testable, contributable, and shareable. Its syntax is largely inspired by 2018’s most popular scripting language, Javascript, and takes a functional approach to data exploration and processing.
The following example illustrates querying data stored from the last hour, filtering by the cpu measurement and the cpu=cpu-total tag, windowing the data in 1 minute intervals, and calculating the average of each window:
from(bucket:"example-bucket")
|> range(start:-1h)
|> filter(fn:(r) =>
r._measurement == "cpu" and
r.cpu == "cpu-total"
)
|> aggregateWindow(every: 1m, fn: mean)
