ArangoDB 计算通过/失败值

Question

我正在尝试制定一个 AQL 查询来聚合大型数据集的多个属性的通过/失败计数。我有一组测试数据，看起来像这样：

[
   {
     workorder: "123456",
     device_id: "1",
     pull_force: "PASS",
     cut_force: "PASS",
     kpa_force: "FAIL",
     ...
   }
]

我想从集合返回的输出类似于：

{
  pull_force: {
    PASS: 300321, 
    FAIL: 400
  },
  cut_force: {
    PASS: 300211, 
    FAIL: 200
  },
  ...
}

我可以收集我正在寻找的运行下面的数据，但感觉不对，因为我正在寻找相当多的通过/失败属性，所以运行速度非常慢：

LET pull_force_data = mydataset[*].pull_force
LET cut_force_data = mydataset[*].cut_force
LET kpa_force_data = mydataset[*].kpa_force
...

RETURN {
   pull_force: {
      PASS: pull_force_data[* FILTER CURRENT == "PASS"], 
      FAIL: pull_force_data[* FILTER CURRENT == "FAIL"]
   },
   cut_force: {
      PASS: cut_force_data[* FILTER CURRENT == "PASS"], 
      FAIL: cut_force_data[* FILTER CURRENT == "FAIL"]
   },
   kpa_force: {
      PASS: kpa_force_data[* FILTER CURRENT == "PASS"], 
      FAIL: kpa_force_data[* FILTER CURRENT == "FAIL"]
   },
   ...
}

有人可以给我一些指导吗？

Answer 1

使用收集：

COLLECT操作可以将数据按一个或多个分组进行分组 标准，检索所有不同的值，计算值出现的频率， 并有效计算统计属性

如果您要聚合所有文档，不需要特定的组密钥，则可以使用简单的

Aggregate

：

FOR doc IN collection
  COLLECT 
    pull_force = doc.pull_force
    //rest...
  AGGREGATE
    pull_force_PASS = SUM(pull_force == "PASS" ? 1 : 0),
    pull_force_FAIL = SUM(pull_force == "FAIL" ? 1 : 0)
    //rest...
  RETURN 
  {
    pull_force: {
      PASS: pull_force_PASS,
      FAIL: pull_force_FAIL
    }
    //rest...
  }