嗨,我试着做一个简单的成功率计算之间的度量。通过将成功请求的数量除以尝试的次数。问题是,在两个度量都为0的情况下,某些间隔是空的。当我编写查询时,我会得到以下“不能除以零”的运行时错误。在SQL中有一个NULLIF函数来避免这种情况。是否有类似的变化,还是有一种替代的方法来避免除以零?
错误:runtime error @7:6-7:90: map: failed to evaluate map function: cannot divide by zero
我的示例查询:
from(bucket: "my_db")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "HTTPRequests")
|> filter(fn: (r) => r["_field"] == "RequestAttempt" or r["_field"] == "RequestSuccess_E")
|> filter(fn: (r) => r["host"] == "host-a")
|> pivot(rowKey:["_time"], columnKey: ["_field"], valueColumn: "_value")
|> map(fn: (r) => ({ r with Request_SR: r.RequestSuccess_E/r.RequestAttempt }))提前谢谢。
发布于 2020-11-12 19:25:37
内流小组回答了我的问题,这对我的案子有效。
您可以使用一些简单的条件逻辑来检查ReqeustSuccess和RequestAttempt的值。您可以检查它们是null还是0。您确实需要为操作数或null或零提供默认值,因为您不能映射空值。
from(bucket: "my_db")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "HTTPRequests")
|> filter(fn: (r) => r["_field"] == "RequestAttempt" or r["_field"] == "RequestSuccess_E")
|> filter(fn: (r) => r["host"] == "host-a")
|> pivot(rowKey:["_time"], columnKey: ["_field"], valueColumn: "_value")
|> map(fn: (r) => ({ r with
Request_SR:
if not exists r.RequestSuccess_E or r.RequestSuccess_E == 0.0 then 0.0
else if not exists r.RequestAttempt or r.RequestAttempt == 0.0 then 0.0
else r.RequestSuccess_E / r.RequestAttempt
}))https://stackoverflow.com/questions/64807532
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