我们遇到了TICKscript及其groupBy行为的问题。
我们有两组测量,indoor_temperatures和outdoor_temperatures,我们用批量查询。
查询如下:
var out_temp = batch
|query('SELECT mean(temperature) FROM yyyy')
.every(10s)
.period(120d)
.groupBy(time(1h))
.fill(0)
var in_temp = batch
|query('SELECT mean(temperature) FROM xxxx')
.every(10s)
.period(120d)
.groupBy(time(1h))
.fill(0)
如果我们将两者都HTTP,他们会创建以下数据集:
{
"series": [
{
"name": "outdoor_temperatures",
"columns": [
"time",
"mean"
],
"values": [
[
"2017-09-20T17:00:00Z",
0
],
[
"2017-09-20T18:00:00Z",
11.5
]
... the rest
]
}
]
}
{
"series": [
{
"name": "indoor_measurements",
"columns": [
"time",
"mean"
],
"values": [
[
"2017-09-20T17:00:00Z",
585.44012944984
],
[
"2017-09-20T18:00:00Z",
592.94890510949
]
... the rest
]
}
]
}
现在我们完全加入它们,这给了我们预期的结果
out_temp
|join(in_temp)
.as('out_temp_mean', 'in_temp_mean')
.tolerance(5m)
.fill(0)
httpOut:
{
"series": [
{
"name": "outdoor_temperatures",
"columns": [
"time",
"in_temp_mean.mean",
"out_temp_mean.mean"
],
"values": [
[
"2017-09-20T17:00:00Z",
586.10175438596,
0
],
[
"2017-09-20T18:00:00Z",
592.94890510949,
11.5
]
... the rest
]
}
]
}
哪个看起来很完美。当我们想要围绕out_temp_mean.mean
向下并将其分组
所以我们继续并扩展脚本
out_temp
|join(in_temp)
.as('out_temp_mean', 'in_temp_mean')
.tolerance(5m)
.fill(0)
|eval(lambda: string(floor("out_temp_mean.mean")))
.as('bucket')
.tags('bucket')
.keep('out_temp_mean.mean', 'in_temp_mean.mean')
之后输出STILL看起来应该是:
{
"series": [
{
"name": "outdoor_temperatures",
"columns": [
"time",
"in_temp_mean.mean",
"out_temp_mean.mean",
"bucket"
],
"values": [
[
"2017-09-20T17:00:00Z",
586.99190283401,
0,
"0"
],
[
"2017-09-20T18:00:00Z",
592.94890510949,
11.5,
"11"
]
]
}
]
}
现在剩下的就是按新标记桶分组值:
out_temp
|join(in_temp)
.as('out_temp_mean', 'in_temp_mean')
.tolerance(5m)
.fill(0)
|eval(lambda: string(floor("out_temp_mean.mean")))
.as('bucket')
.tags('bucket')
.keep('out_temp_mean.mean', 'in_temp_mean.mean')
|groupBy('bucket')
之后一切都出了问题,我们迎接series: null
{
"series": null
}
这是预期的行为吗?一个bug?或其他什么?
如果有人想知道,也会将其归档为https://github.com/influxdata/kapacitor/issues/1765。