Kusto：如何查询每日数据以按月聚合并生成趋势

Question

我们的 kusto table 有过去 12 个月的每日数据，我正在尝试获取过去 6 个月的趋势 1) 每个月的不同 customerId 数量 2) 每个客户 (customerId) 的订单数（使用 orderId 字段）按月

我在下面尝试了 #1 个问题，但它没有给出正确的结果，看起来像对 bin 函数的理解不准确。请问我应该使用什么功能来获取#1 和#2 问题数据？

注意：每天都有9am、12pm、18pm、12pm等多批数据

let data = datatable(customerid:int, processdate:datetime, orderId: string)
    [
        1,"2021-03-03 09:00:00", "a",
        1,"2021-03-03 12:00:00", "b",
        1,"2021-03-03 15:00:00", "c",
        2,"2021-03-04 21:00:00", "d",
        2,"2021-03-04 14:00:00", "e",
        2,"2021-03-04 09:00:00", "f",
        1,"2021-04-03 09:00:00", "g",
        1,"2021-04-03 12:00:00", "h",
        1,"2021-04-03 15:00:00", "j",
        2,"2021-05-04 21:00:00", "k",
        2,"2021-05-04 14:00:00", "l",
        2,"2021-05-04 09:00:00", "m"
        
    ];
data
//|where processdate > ago(180d) commeted out as example data does not data to satisfy this filter
|summarize customercount = dcount(customerid) by bin(processdate,30d)

Answer 1

查看startofmonth function

Kusto：如何查询每日数据以按月聚合并生成趋势

Kusto :How to query daily data to aggregate by Month and generate trends

kql

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