示例集合:
员工
{"FNAME" : "John", "LNAME" : "Smith", "SSN" : "123456789", "SALARY" : 30000, "SUPERSSN" : "333445555"}
{"FNAME" : "Franklin", "LNAME" : "Wong", "SSN" : "333445555", "SALARY" : 40000, "SUPERSSN" : "888665555"}
{"FNAME" : "Joyce", "LNAME" : "English", "SSN" : "453453453", "SALARY" : 25000, "SUPERSSN" : "333445555"}
{"FNAME" : "Ramesh", "LNAME" : "Narayan", "SSN" : "666884444", "SALARY" : 38000, "SUPERSSN" : "333445555"}
{"FNAME" : "James", "LNAME" : "Borg", "SSN" : "888665555", "SALARY" : 55000, "SUPERSSN" : "", "DNO" : 1 }
{"FNAME" : "Jennifer", "LNAME" : "Wallace", "SSN" : "987654321", "SALARY" : 43000, "SUPERSSN" : "888665555"}
{"FNAME" : "Ahmad", "LNAME" : "Jabbar", "SSN" : "987987987", "SALARY" : 25000, "SUPERSSN" : "987654321"}
{"FNAME" : "Alicia", "LNAME" : "Zelaya", "SSN" : "999887777", "SALARY" : 25000, "SUPERSSN" : "987654321"}
{"FNAME" : "John", "LNAME" : "Smith", "SSN" : "123456789", "SALARY" : 30000, "SUPERSSN" : "333445555"}
{"FNAME" : "Franklin", "LNAME" : "Wong", "SSN" : "333445555", "SALARY" : 40000, "SUPERSSN" : "888665555"}
{"FNAME" : "Joyce", "LNAME" : "English", "SSN" : "453453453", "SALARY" : 25000, "SUPERSSN" : "333445555"}
{"FNAME" : "Ramesh", "LNAME" : "Narayan", "SSN" : "666884444", "SALARY" : 38000, "SUPERSSN" : "333445555"}
{"FNAME" : "James", "LNAME" : "Borg", "SSN" : "888665555", "SALARY" : 55000, "SUPERSSN" : "", "DNO" : 1 }
{"FNAME" : "Jennifer", "LNAME" : "Wallace", "SSN" : "987654321", "SALARY" : 43000, "SUPERSSN" : "888665555"}
{"FNAME" : "Ahmad", "LNAME" : "Jabbar", "SSN" : "987987987", "SALARY" : 25000, "SUPERSSN" : "987654321"}
{"FNAME" : "Alicia", "LNAME" : "Zelaya", "SSN" : "999887777", "SALARY" : 25000, "SUPERSSN" : "987654321"}
works_on
{ "ESSN" : "123456789", "PNO" : 1, "HOURS" : 32.5 }
{ "ESSN" : "123456789", "PNO" : 2, "HOURS" : 7.5 }
{ "ESSN" : "333445555", "PNO" : 2, "HOURS" : 10 }
{ "ESSN" : "333445555", "PNO" : 3, "HOURS" : 10 }
{ "ESSN" : "333445555", "PNO" : 10, "HOURS" : 10 }
{ "ESSN" : "333445555", "PNO" : 20, "HOURS" : 10 }
{ "ESSN" : "453453453", "PNO" : 1, "HOURS" : 20 }
{ "ESSN" : "453453453", "PNO" : 2, "HOURS" : 20 }
{ "ESSN" : "666884444", "PNO" : 3, "HOURS" : 40 }
{ "ESSN" : "888665555", "PNO" : 20, "HOURS" : 0 }
{ "ESSN" : "987654321", "PNO" : 20, "HOURS" : 15 }
{ "ESSN" : "987654321", "PNO" : 30, "HOURS" : 20 }
{ "ESSN" : "987987987", "PNO" : 10, "HOURS" : 35.5 }
{ "ESSN" : "987987987", "PNO" : 30, "HOURS" : 5.5 }
{ "ESSN" : "999887777", "PNO" : 10, "HOURS" : 10 }
{ "ESSN" : "999887777", "PNO" : 30, "HOURS" : 30 }
我想从以下 MongoDB 查询的“连接”中删除重复记录:
db.employee.aggregate([
{
$lookup:{
from: "works_on",
localField: "SSN",
foreignField: "ESSN",
as: "works_on_here"
}
},
{ $unwind:"$works_on_here" },
{
$group:{
_id:"$_id",
nodes:{
$addToSet:"$works_on_here"
}
},
{
$project:{
_id : 1,
FNAME : 1,
LNAME : 1,
HOURS : "$works_on_here.HOURS",
}
}
]);
预期结果是:
{ "FNAME" : "John", "LNAME" : "Smith", "HOURS" : 32.5 }
{ "FNAME" : "Franklin", "LNAME" : "Wong", "HOURS" : 10 }
{ "FNAME" : "Joyce", "LNAME" : "English", "HOURS" : 20 }
{ "FNAME" : "Ramesh", "LNAME" : "Narayan", "HOURS" : 40 }
{ "FNAME" : "James", "LNAME" : "Borg", "HOURS" : 0 }
{ "FNAME" : "Jennifer", "LNAME" : "Wallace", "HOURS" : 20 }
{ "FNAME" : "Ahmad", "LNAME" : "Jabbar", "HOURS" : 5.5 }
{ "FNAME" : "Alicia", "LNAME" : "Zelaya", "HOURS" : 30 }
{ "FNAME" : "John", "LNAME" : "Smith", "HOURS" : 7.5 }
{ "FNAME" : "Franklin", "LNAME" : "Wong", "HOURS" : 10 }
没有“$group”部分的实际输出如下所示:
{ "FNAME" : "John", "LNAME" : "Smith", "HOURS" : 32.5 }
{ "FNAME" : "John", "LNAME" : "Smith", "HOURS" : 7.5 }
{ "FNAME" : "Franklin", "LNAME" : "Wong", "HOURS" : 10 }
{ "FNAME" : "Franklin", "LNAME" : "Wong", "HOURS" : 10 }
{ "FNAME" : "Franklin", "LNAME" : "Wong", "HOURS" : 10 }
{ "FNAME" : "Franklin", "LNAME" : "Wong", "HOURS" : 10 }
{ "FNAME" : "Joyce", "LNAME" : "English", "HOURS" : 20 }
{ "FNAME" : "Joyce", "LNAME" : "English", "HOURS" : 20 }
{ "FNAME" : "Ramesh", "LNAME" : "Narayan", "HOURS" : 40 }
{ "FNAME" : "James", "LNAME" : "Borg", "HOURS" : 0 }
{ "FNAME" : "Jennifer", "LNAME" : "Wallace", "HOURS" : 15 }
{ "FNAME" : "Jennifer", "LNAME" : "Wallace", "HOURS" : 20 }
{ "FNAME" : "Ahmad", "LNAME" : "Jabbar", "HOURS" : 35.5 }
{ "FNAME" : "Ahmad", "LNAME" : "Jabbar", "HOURS" : 5.5 }
{ "FNAME" : "Alicia", "LNAME" : "Zelaya", "HOURS" : 10 }
{ "FNAME" : "Alicia", "LNAME" : "Zelaya", "HOURS" : 30 }
{ "FNAME" : "John", "LNAME" : "Smith", "HOURS" : 32.5 }
{ "FNAME" : "John", "LNAME" : "Smith", "HOURS" : 7.5 }
{ "FNAME" : "Franklin", "LNAME" : "Wong", "HOURS" : 10 }
{ "FNAME" : "Franklin", "LNAME" : "Wong", "HOURS" : 10 }
我有两个集合 'employee' 和 'works_on',我尝试做这样的事情“join”。
带有 $group 部分的代码不返回任何内容。这应该用作重复过滤器还是?
答案 0 :(得分:1)
tup in list
by $group
并获取第一个 SSN
和 FNAME
字段,如果您想要其他字段,您可以添加与 LNAME
和 {{1} 相同的字段}FNAME
与 LNANE
$lookup
显示必填字段并使用 works_on
$project
总和
HOURS