Arangodb查询多个字段

Question

我在一个arangodb集合中有一个产品数据库，其中一个产品有多种尺寸。问题是，对于每种尺寸，相同的产品都是重复的。但每种产品都有一个共同的组号。如下所示：

{"name": "product1", "description": "someDescription", size: 5,price: 12 groupNumber: 12}
{"name": "product1", "description": "someDescription", size: 15, price: 26, groupNumber: 12}
{"name": "product1", "description": "someDescription", size: 25, price: 84, groupNumber: 12}
{"name": "product1", "description": "someDescription", size: 35, price: 106, groupNumber: 12}

{"name": "product2", "description": "someDescription", size: 5, price: 12, groupNumber: 11}
{"name": "product2", "description": "someDescription", size: 15, price: 22, groupNumber: 11}
{"name": "product2", "description": "someDescription", size: 25, price: 32, groupNumber: 11}
{"name": "product2", "description": "someDescription", size: 35, price: 43, groupNumber: 11}

我现在必须显示产品列表(在网页中)，但是每个产品应该只出现一次，每个产品的大小和价格都是这样的：

product1 someDescription sizes: 5,15,25,35, prices: 12,26,84,106
product2 someDescription sizes: 5,15,25,35, prices: 12,22,32,43
...

我该怎么做呢？

Answer 1

忽略groupNumber并按name分组，查询如下所示：

FOR p IN products
  COLLECT description = p.description, name = p.name INTO groups
  RETURN { 
    "name" : name, 
    "description": description,
    "prices" : groups[*].p.price,
    "sizes" : groups[*].p.size
  }

给定(更正后的)示例数据，查询将返回：

[
  {
    "name": "product1",
    "description": "someDescription",
    "prices": [
      12,
      84,
      106,
      26
    ],
    "sizes": [
      5,
      25,
      35,
      15
    ]
  },
  {
    "name": "product2",
    "description": "someDescription",
    "prices": [
      43,
      32,
      22,
      12
    ],
    "sizes": [
      35,
      25,
      15,
      5
    ]
  }
]

分组的值没有排序，但大小和价格的位置对应，您可以缓解这一事实，将值压缩到大小-价格映射中：

FOR p IN products
  COLLECT description = p.description, name = p.name INTO groups
  RETURN { 
    "name" : name, 
    "description": description,
    "size_price_map" : ZIP(groups[*].p.size, groups[*].p.price)
  }

让步：

[
  {
    "name": "product1",
    "description": "someDescription",
    "size_price_map": {
      "5": 12,
      "15": 26,
      "25": 84,
      "35": 106
    }
  },
  {
    "name": "product2",
    "description": "someDescription",
    "size_price_map": {
      "5": 12,
      "15": 22,
      "25": 32,
      "35": 43
    }
  }
]