mongo查询中的合并结果与条件

Question

用例：

我有n个作业，我想要合并这些作业的数据，这样，如果在1种情况下传递相应子键的值，它应该将其标记为已传递。

例如Job1的详细目标：

{"Name" : [{"No." : "119","Time" : "t"}],
"Results":[{**"K1"** : {"Counters" : x, "TCR" : [{"Name" : "K11", "Result" : "PASSED"}, 
                                             {"Name" : "K12","Result" : **"FAILED"**},
                                             {"Name" : "K13","Result" : **"PASSED"**}]
                    },
            "K2" : {"Counters": y, "TCR" : [{"Name" : "K21","Result" : "PASSED"},              
                                            {"Name" : "K22","Result" : "PASSED"}]
                      
                    }
            
           ]
}

Job2详细对象：

{"Name" : [{"No." : "120","Time" : "t1"}],
"Results":[{"**K1"** : {"Counters" : x, "TCR" : [{"Name" : "K11", "Result" : "PASSED"}, 
                                             {"Name" : "K12","Result" : **"PASSED"**},
                                             {"Name" : "K13","Result" : **"FAILED"**}]
                    },
            "K3" : {"Counters": y, "TCR" : [{"Name" : "K31","Result" : "PASSED"},              
                                            {"Name" : "K32","Result" : "PASSED"}]
                      
                    }
            
           ]
}

预期产出

{"Name" : [{"No." : "119-120","Time" : "lowest(t,t1)"}],
"Results":[{**"K1"** : {"Counters" : x, "TCR" : [{"Name" : "K11", "Result" : "PASSED"}, 
                                             {"Name" : "K12","Result" : **"PASSED"**},
                                             {"Name" : "K13","Result" : **"PASSED"**}]
                    },
            "K2" : {"Counters": y, "TCR" : [{"Name" : "K21","Result" : "PASSED"},              
                                            {"Name" : "K22","Result" : "PASSED"}]
                      
                    },
             "K3" : {"Counters": y, "TCR" : [{"Name" : "K31","Result" : "PASSED"},              
                                            {"Name" : "K32","Result" : "PASSED"}]
                      
                    }
            
           ]
}

解释：

键k1在两个块中都很常见，所以在k1中，我们有键k12和k13，它们在一个中传递，而在另一个块中失败。因此，在预期的输出中，我需要键k1，键k12和k13具有传递的值，因为它们在一种情况下被传递。与此同时，K2和K3也将如出一辙。

我已经到了将相同的关键数据聚集在一行，但是如何继续进行进一步比较的时候。

查询使用-

aggregate([{$match: {
  $or:[{"Name.No":"119"},{"Name.No":"120"}]
}}, {$project: {
  x:{$objectToArray:"$Results"}
}},{$unwind: "$x"},{$group: {_id: "$x.k", distinctVals: {$addToSet: "$x.v.TCR"}}}])

Answer 1

名称/结果字段是：

在一个物体中

在数组中

嵌入在以下对象中

嵌入在另一个对象中

在数组中

嵌入在文档中。

这是很多层的剥皮。

因此，要获得名称/结果对：

• 展开文档中的数组
• 将嵌入的对象转换为数组
• 展开转换后的数组
• 进入最后一个文档并展开深数组。

然后把它们结合起来

• 按名称部分分组，将所有传递/失败结果推入数组中。
• 对构造的数组进行约简，以确定总的传递/失败值
• 按键分组(K1、K2等)并将名称/结果推入数组
• group by null (即没有组创建单个文档)将它们键推到结果数组中
• 重构文档结构

通过所有这些步骤，维护全局字段，如名称和时间。

看起来可能是：

db.collection.aggregate([
  {$match: {"Name.No": {$in:["119","120"]}}},
  {$unwind: "$Results"},
  {$set: {
      Results: {$objectToArray: "$Results"}
  }},
  {$unwind: "$Results"},
  {$unwind: "$Results.v.TCR"},
  {$group: {
      _id: {
        resultKey: "$Results.k",
        TCRName: "$Results.v.TCR.Name"
      },
      Result: {$push: "$Results.v.TCR.Result"},
      Counters: {$first: "$Results.v.Counters"},
      No: {$addToSet: "$Name.No"},
      Time: { $min: "$Name.Time"}
  }},
  {$set: {
      No: {
        $reduce: {
          input: "$No",
          initialValue: [],
          in: {$setUnion: ["$$value","$$this"]}
        }
      },
      Result: {
        $cond: {
          if: {$in: ["PASSED","$Result"]},
          then: "PASSED",
          else: "FAILED"
        }
      }
  }},
  {
    $group: {
      _id: "$_id.resultKey",
      No: {$addToSet: "$No"},
      Time: {$min: "$Time"},
      Counters: {$first: "$Counters"},
      TCR: {
        $push: {
          $arrayToObject: [
            [
              {"k": "name","v": "$_id.TCRName"},
              {"k": "Result",v: "$Result"}
            ]
          ]
        },
        
      }
  }},
  {$set: {
      No: {
        $reduce: {
          input: "$No",
          initialValue: [],
          in: {$setUnion: ["$$value","$$this"]}
        }
      }
  }},
  {$group: {
      _id: null,
      No: {$push: "$No"},
      Time: {$min: "$Time"},
      Results: {
        $push: {"k": "$_id",
                "v": {
                      Counters: "$Counters",
                      TCR: "$TCR"
                     }
               }
      }
  }},
  {$project: {
      Name: {
        No: {
          $reduce: {
            input: "$No",
            initialValue: [],
            in: {$setUnion: ["$$value","$$this"]}
          }
        },
        Time: {$min: "$Time"}
      },
      Results: {$arrayToObject: "$Results"}
  }}
])

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