投射某列,每行进一项
Project certain column and carry on one entry in every row
我有一个如下所示的数据集
{
"metadata":"d_meta_v_1.5.9",
"data": {
"a": {
"T": [
1652167964645,
1652168781684,
1652168781720
],
"V": [
1,
2,
3
]
},
"b": {
"T": [
1652167961657,
1652168781720,
1652168781818
],
"V": [
1,
3,
4
]
},
"c": {
"T": [
1652167960194,
1652168787377
],
"V": [
1,
3
]
}
}
}
我想select特定的列并在末尾进行元数据。这个问题的一部分在我之前的问题中起作用
我怎样才能得到我想要的输出?
Metadata, Time, a, b
d_meta_v_1.5.9, <Time>, <value of _a>, < value of b>
d_meta_v_1.5.9, <Time>, <value of _a>, < value of b>
d_meta_v_1.5.9, <Time>, <value of _a>, < value of b>
let requested_columns = dynamic(["a","b"]);
datatable(doc:dynamic)
[
dynamic
(
{
"metadata":"d_meta_v_1.5.9",
"data": {
"a": {
"T": [
1652167964645,
1652168781684,
1652168781720
],
"V": [
1,
2,
3
]
},
"b": {
"T": [
1652167961657,
1652168781720,
1652168781818
],
"V": [
1,
3,
4
]
},
"c": {
"T": [
1652167960194,
1652168787377
],
"V": [
1,
3
]
}
}
}
)
]
| project metadata = doc.metadata, data = doc.data
| mv-expand data = data
| extend key = tostring(bag_keys(data)[0])
| where key in (requested_columns)
| mv-expand T = data[key].T to typeof(long), V = data[key].V to typeof(long)
| evaluate pivot(key, take_any(V), metadata, T)
| order by T asc
metadata
T
a
b
d_meta_v_1.5.9
1652167961657
1
d_meta_v_1.5.9
1652167964645
1
d_meta_v_1.5.9
1652168781684
2
d_meta_v_1.5.9
1652168781720
3
3
d_meta_v_1.5.9
1652168781818
4
我有一个如下所示的数据集
{
"metadata":"d_meta_v_1.5.9",
"data": {
"a": {
"T": [
1652167964645,
1652168781684,
1652168781720
],
"V": [
1,
2,
3
]
},
"b": {
"T": [
1652167961657,
1652168781720,
1652168781818
],
"V": [
1,
3,
4
]
},
"c": {
"T": [
1652167960194,
1652168787377
],
"V": [
1,
3
]
}
}
}
我想select特定的列并在末尾进行元数据。这个问题的一部分在我之前的问题中起作用
Metadata, Time, a, b
d_meta_v_1.5.9, <Time>, <value of _a>, < value of b>
d_meta_v_1.5.9, <Time>, <value of _a>, < value of b>
d_meta_v_1.5.9, <Time>, <value of _a>, < value of b>
let requested_columns = dynamic(["a","b"]);
datatable(doc:dynamic)
[
dynamic
(
{
"metadata":"d_meta_v_1.5.9",
"data": {
"a": {
"T": [
1652167964645,
1652168781684,
1652168781720
],
"V": [
1,
2,
3
]
},
"b": {
"T": [
1652167961657,
1652168781720,
1652168781818
],
"V": [
1,
3,
4
]
},
"c": {
"T": [
1652167960194,
1652168787377
],
"V": [
1,
3
]
}
}
}
)
]
| project metadata = doc.metadata, data = doc.data
| mv-expand data = data
| extend key = tostring(bag_keys(data)[0])
| where key in (requested_columns)
| mv-expand T = data[key].T to typeof(long), V = data[key].V to typeof(long)
| evaluate pivot(key, take_any(V), metadata, T)
| order by T asc
metadata | T | a | b |
---|---|---|---|
d_meta_v_1.5.9 | 1652167961657 | 1 | |
d_meta_v_1.5.9 | 1652167964645 | 1 | |
d_meta_v_1.5.9 | 1652168781684 | 2 | |
d_meta_v_1.5.9 | 1652168781720 | 3 | 3 |
d_meta_v_1.5.9 | 1652168781818 | 4 |