我发现的所有 Crossfilter 示例都使用如下扁平结构:
[
{ name: “Rusty”, type: “human”, legs: 2 },
{ name: “Alex”, type: “human”, legs: 2 },
...
{ name: “Fiona”, type: “plant”, legs: 0 }
]
或者
"date","open","high","low","close","volume","oi" 11/01/1985,115.48,116.78,115.48,116.28,900900,0 11/04/1985,116.28,117.07,115.82,116.04,753400,0
11/05/1985,116.04,116.57,115.88,116.44,876800,0
我处理了数百 MB 的平面文件,以生成一个 1-2MB 的 JSON 对象,其结构大致如下:
{
"meta": {"stuff": "here"},
"data": {
"accountName": {
// rolled up by week
"2013-05-20": {
// any of several "dimensions"
"byDay": {
"2013-05-26": {
"values": {
"thing1": 1,
"thing2": 2,
"etc": 3
}
},
"2013-05-27": {
"values": {
"thing1": 4,
"thing2": 5,
"etc": 6
}
}
// and so on for day
},
"bySource": {
"sourceA": {
"values": {
"thing1": 2,
"thing2": 6,
"etc": 7
}
},
"sourceB": {
"values": {
"thing1": 3,
"thing2": 1,
"etc": 2
}
}
}
}
}
}
}
我想将其显示为如下表格:
Group: byDay* || bySource || byWhatever
| thing1 | thing2 | etc
2013-05-26 | 1 | 2 | 2
2013-05-27 | 4 | 5 | 7
或者:
Group: byDay || bySource* || byWhatever
| thing1 | thing2 | etc
sourceA | 2 | 6 | 6
sourceB | 3 | 1 | 3
扁平化这个 JSON 结构会很困难,并且会产生一个非常大的对象。
我很想利用 Crossfilter 的精彩功能,但我不确定这是否可能。
我是否可以向 Crossfilter 定义/解释我当前的结构?也许还有另一种方法可以解决这个问题?我很容易承认我对维度和许多其他关键的 Crossfilter 概念没有很好的掌握。