如何使用 Kusto 在 Grafana 上执行多图时间序列

嗯，我想这样做：https://grafana.com/docs/grafana/v9.0/basics/timeseries-dimensions/ https://grafana.com/docs/grafana/v9.0/basics/timeseries-dimensions/，但在 Kusto 上。

问题是我不知道我失败在哪里，独特的一点是我有以下警告：

检测到长格式时间序列，但无法从长格式转换 帧：长系列必须按要转换的时间升序排序。

重点是我的查询返回以下内容：

let test = datatable (Timestamp: datetime, Id: string, Value: dynamic)
[
  datetime(2022-11-09 11:39:25), "machineA", "True",
  datetime(2022-11-09 11:39:30), "machineA", "True",
  datetime(2022-11-09 11:39:35), "machineA", "False",
  datetime(2022-11-09 11:39:36), "machineA", "False",
  datetime(2022-11-09 11:40:03), "machineA", "True",
  datetime(2022-11-09 11:40:03), "machineA", "True",
  datetime(2022-11-09 11:40:04), "machineA", "True",
  datetime(2022-11-09 11:40:05), "machineA", "True",
  datetime(2022-11-09 11:40:25), "machineA", "False",
  datetime(2022-11-09 11:40:25), "machineA", "False",
  datetime(2022-11-09 11:40:26), "machineA", "False",
  datetime(2022-11-09 11:40:27), "machineA", "False",
  datetime(2022-11-09 11:40:37), "machineA", "True",
  datetime(2022-11-09 11:40:47), "machineA", "False",
  datetime(2022-11-09 11:40:57), "machineA", "True",
  datetime(2022-11-09 11:40:59), "machineA", "True",
  datetime(2022-11-09 11:40:25), "machineB", "True",
  datetime(2022-11-09 11:40:30), "machineB", "True",
  datetime(2022-11-09 11:40:35), "machineB", "False",
  datetime(2022-11-09 11:40:36), "machineB", "False",
  datetime(2022-11-09 11:41:03), "machineB", "True",
  datetime(2022-11-09 11:41:03), "machineB", "True",
  datetime(2022-11-09 11:41:04), "machineB", "True",
  datetime(2022-11-09 11:41:05), "machineB", "True",
  datetime(2022-11-09 11:41:25), "machineB", "False",
  datetime(2022-11-09 11:41:25), "machineB", "False",
  datetime(2022-11-09 11:41:26), "machineB", "False",
  datetime(2022-11-09 11:41:27), "machineB", "False",
  datetime(2022-11-09 11:41:37), "machineB", "True",
  datetime(2022-11-09 11:41:47), "machineB", "False",
  datetime(2022-11-09 11:41:57), "machineB", "True",
  datetime(2022-11-09 11:41:59), "machineB", "True",
  datetime(2022-11-09 11:42:25), "machineC", "True",
  datetime(2022-11-09 11:42:30), "machineC", "True",
  datetime(2022-11-09 11:42:35), "machineC", "False",
  datetime(2022-11-09 11:42:36), "machineC", "False",
  datetime(2022-11-09 11:43:03), "machineC", "True",
  datetime(2022-11-09 11:43:03), "machineC", "True",
  datetime(2022-11-09 11:43:04), "machineC", "True",
  datetime(2022-11-09 11:43:05), "machineC", "True",
  datetime(2022-11-09 11:43:25), "machineC", "False",
  datetime(2022-11-09 11:43:25), "machineC", "False",
  datetime(2022-11-09 11:43:26), "machineC", "False",
  datetime(2022-11-09 11:43:27), "machineC", "False",
  datetime(2022-11-09 11:43:37), "machineC", "True",
  datetime(2022-11-09 11:43:47), "machineC", "False",
  datetime(2022-11-09 11:43:57), "machineC", "False",
  datetime(2022-11-09 11:43:59), "machineC", "False",
];
let tiemposCicloBruto = test
    | where Timestamp > ago(100d)
    | partition hint.strategy=native by Id
    (
        order by Timestamp asc // ordenamos ascendentemente
        | extend prev_Timestamp = prev(Timestamp) // extendemos la fecha previa
        | extend prev_Value = prev(Value) // extendemos el valor previo
        | extend duration = 
        iif( // Condicion ternaria
            prev_Value == "True" and Value == "False" // Si anteriormente estaba en funcion y el valor actual es parado, cuenta como tiempo de ciclo
            or prev_Value == "True" and Value == "True", // Si el valor anterior era funcionando y el actual tambien, la maquina sigue funcionando
            Timestamp - prev_Timestamp, // Para ese caso restamos la diferencia de tiempo
            time(null) // Para el caso contrario, devolvemos nulo
        )
        | project Id, Timestamp, duration, Value, prev_Value
    );
tiemposCicloBruto // La consulta para 1d completo tarda entre 1-1.5s
| where isnotnull(duration)
| partition hint.strategy=native by Id ( // partimos por Id
    order by Timestamp asc // debe ser siempre ascendente si no pierde la logica
    | scan declare (y:timespan=time(null), x:timespan=time(null)) with ( // declaramos el scan
        step s1: true => // declaramos el paso
        x=iif(s1.Value == "True" and Value == "True", iif(isnull(s1.x), duration, s1.x)+s1.duration, time(null)), // si tenemos varios True-True consecutivos, sumamos la duracion anterior a la actual, asignandola a X
        y=iif(s1.Value=="False" and Value=="False", duration, // si tenemos el caso de que es False-False, partimos de la duracion
                iif(s1.Value=="True" and Value=="False", s1.x+duration, time(null))); // si tenemos que la maquina estaba funcionando y para, sumamos las duraciones consecutivas de mientras que estaba funcionando
    )
    | extend next_Id=next(Id)
    | extend tiempoCiclo=iif(isempty(next_Id), duration, iif(isnull(y) and prev_Value == "True" and Value=="False", duration+prev(duration), iif(isnotnull(y), y, time(null)))) / 1s // y para aquellos cambios de maquina o para aquellos donde no hubiera valor por casuistica, asignamos la duracion o la duracion+duracion previa
    | where isnotnull(tiempoCiclo) // filtramos
    | project-away prev_Value, x, y, duration, Value, next_Id
)

但我在 KQL Grafana 时间序列图上看不到这些机器分组：

至少，它应该显示与我环境中的机器一样多的内容：

答案包含在您的问题中：

检测到长格式时间序列，但无法从长帧转换：长序列必须按要转换的时间升序排序。

您需要在查询末尾添加排序。就这么简单。

...
| order by Timestamp asc

另请确保在“格式为”下拉列表中选择“时间序列”。