如何反转 kusto/kql/azure 中的列并将多列合并为一列

How to unpivot columns in kusto/kql/azure and put multiple columns into one

我在与 Kusto 一起开发的游戏的 Azure 分析中得到了这样的 table

datatable (ID_player:string, Timestamp:timespan, monster1:int, monster2:int, monster3:int)
[
     "aaa", "12:00:00", 1,2,3
    ,"aaa", "12:10:00", 4,7,0
    ,"bbb", "12:30:00", 0,2,1
]

基本上,我需要切换到这样的格式

ID_Player     Timespamp     Monster     Quantity
aaa           12:00:00      Monster1      1
aaa           12:00:00      Monster2      2
aaa           12:00:00      Monster3     3
aaa           12:10:00      Monster1     4
aaa           12:10:00      Monster2      7
aaa           12:10:00      Monster3      0
bbb           12:30:00      Monster1      0
bbb           12:30:00      monster2      2
bbb           12:30:00      Monster3      1

有什么想法吗?我 tought 使用一系列 CASE WHEN 但我认为这不是正确的解决方案。 提前致谢!!!

您可以结合使用 pack()mv-apply

例如:

datatable (ID_player:string, Timestamp:timespan, monster1:int, monster2:int, monster3:int)
[
     "aaa", "12:00:00", 1,2,3
    ,"aaa", "12:10:00", 4,7,0
    ,"bbb", "12:30:00", 0,2,1
]
| mv-apply c = pack("monster1", monster1, "monster2", monster2, "monster3", monster3) on (
    extend Monster = tostring(bag_keys(c)[0])
    | extend Quantity = tolong(c[Monster])
)
| project-away monster*, c
ID_player Timestamp Monster Quantity
aaa 12:00:00 monster1 1
aaa 12:00:00 monster2 2
aaa 12:00:00 monster3 3
aaa 12:10:00 monster1 4
aaa 12:10:00 monster2 7
aaa 12:10:00 monster3 0
bbb 12:30:00 monster1 0
bbb 12:30:00 monster2 2
bbb 12:30:00 monster3 1

这里有 3 个更直接的解决方案,基于 mv-expand & pack_dictionary() / pack_array()

pack_dictionary() + mv-expand kind = array
datatable (ID_player:string, Timestamp:timespan, monster1:int, monster2:int, monster3:int)
[
     "aaa", "12:00:00", 1,2,3
    ,"aaa", "12:10:00", 4,7,0
    ,"bbb", "12:30:00", 0,2,1
]
| mv-expand kind = array monster = pack_dictionary("Monster1", monster1, "Monster2", monster2, "Monster3", monster3)
| extend Monster = tostring(monster[0]), Quantity = toint(monster[1])
| project-away monster*

Fiddle

pack_array()x2 + mv-expand
datatable (ID_player:string, Timestamp:timespan, monster1:int, monster2:int, monster3:int)
[
     "aaa", "12:00:00", 1,2,3
    ,"aaa", "12:10:00", 4,7,0
    ,"bbb", "12:30:00", 0,2,1
]
| mv-expand     Monster  = pack_array("Monster1", "Monster2", "Monster3") to typeof(string)
               ,Quantity = pack_array( monster1,   monster2,   monster3 ) to typeof(int)
| project-away  monster*

Fiddle

pack_array() + mv-expand with_itemindex
datatable (ID_player:string, Timestamp:timespan, monster1:int, monster2:int, monster3:int)
[
     "aaa", "12:00:00", 1,2,3
    ,"aaa", "12:10:00", 4,7,0
    ,"bbb", "12:30:00", 0,2,1
]
| mv-expand with_itemindex = i Quantity = pack_array(monster1, monster2, monster3) to typeof(int)
| extend Monster = strcat("Monster", tostring(i + 1))  
| project ID_player, Timestamp, Monster, Quantity

Fiddle