Influxdb2:如何在同一桶中的不同测量中对数据进行下采样?
Influxdb2 : How to downsample data in a different measurement in same bucket?
我想在 同一个存储桶 中创建包含月度数据的聚合度量。目前我有一个关于这个查询的任务:
import "strings"
option task = {name: "MTU Monthly", every: 1d}
from(bucket: "my_bucket")
|> range(start: 1464943523, stop: 1654244985)
|> filter(fn: (r) => r._measurement == "machine_time_utilization")
|> aggregateWindow(every: 1mo, fn: sum)
|> map(
fn: (r) =>
({r with _measurement:
strings.replaceAll(
v: r._measurement,
t: "machine_time_utilization",
u: "machine_time_utilization_monthly",
),
}),
)
|> to(bucket: "my_bucket")
我不喜欢 strings.replaceAll
的处理方式。有什么办法可以做得更好吗?
如果需要在记录中设置静态值,使用set函数,即
from(bucket: "my_bucket")
...
|> aggregateWindow(every: 1mo, fn: sum)
|> set(key: "_measurement", value: "machine_time_utilization_monthly")
|> to(bucket: "my_bucket")
我想在 同一个存储桶 中创建包含月度数据的聚合度量。目前我有一个关于这个查询的任务:
import "strings"
option task = {name: "MTU Monthly", every: 1d}
from(bucket: "my_bucket")
|> range(start: 1464943523, stop: 1654244985)
|> filter(fn: (r) => r._measurement == "machine_time_utilization")
|> aggregateWindow(every: 1mo, fn: sum)
|> map(
fn: (r) =>
({r with _measurement:
strings.replaceAll(
v: r._measurement,
t: "machine_time_utilization",
u: "machine_time_utilization_monthly",
),
}),
)
|> to(bucket: "my_bucket")
我不喜欢 strings.replaceAll
的处理方式。有什么办法可以做得更好吗?
如果需要在记录中设置静态值,使用set函数,即
from(bucket: "my_bucket")
...
|> aggregateWindow(every: 1mo, fn: sum)
|> set(key: "_measurement", value: "machine_time_utilization_monthly")
|> to(bucket: "my_bucket")