我将部分 SQL 数据传递给 MongoDB，以提高密集查询的效率。我已阅读 mongo 的文档，但我仍在努力实现一个查询。
我和客户有一个收藏，他们有所有产品的列表。我试图搜索谁购买了某种药物超过 4 次，但我不知道如何才能获取该信息，因为它是一个数组，在一个数组内，而我的 mongo 知识非常有限。
{
"_id" : ObjectId("5c3c71f2760c4f47c701fe14"),
"email" : "<a href="https://stackoverflow.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="dbb1b8b89bbcb6bab2b7f5abaf" rel="noreferrer noopener nofollow">[email protected]</a>",
"faturas" : [
{
"pontos_r" : NumberLong(25),
"id_c" : NumberLong(1),
"data_f" : ISODate("2017-12-10T08:41:01Z"),
"pontos_u" : NumberLong(0),
"medicamentos" : [
{
"categoria" : "Analg�sico",
"receita" : "N",
"des" : "Ben-U-Ron 500",
"qt" : 20,
"formato" : "granulado",
"qt_v" : NumberLong(2),
"pos" : "A12",
"lab" : "Laborat�rio do Rio Ave",
"preco_l" : 5.02,
"un" : "un",
"preco" : 2.51,
"preco_v" : 2.51,
"id" : NumberLong(1),
"stock" : NumberLong(21)
},
{
"categoria" : "Estatina",
"receita" : "S",
"des" : "Sinvastatina",
"qt" : 30,
"formato" : "comprimido",
"qt_v" : NumberLong(1),
"pos" : "K23",
"lab" : "Mylan",
"preco_l" : 16.45,
"un" : "un",
"preco" : 16.45,
"preco_v" : 16.45,
"id" : NumberLong(6),
"stock" : NumberLong(25)
}
],
"data_s" : ISODate("2017-12-10T08:07:00Z"),
"funcionario" : {
"tlmv" : "910851961",
"nome" : "Mariana Pereira Fernandes",
"ordenado" : 750.27,
"iban" : "PT 50 2732 5162 12345678909",
"pass" : "608e01334f5575f10813efa40ce0102f2dc0a75e",
"niss" : "12345678909",
"id" : NumberLong(1),
"cedula" : "12345"
},
"id_func" : NumberLong(1),
"total" : 21.47,
"id" : NumberLong(3),
"desconto" : 0
},
{
"pontos_r" : NumberLong(0),
"id_c" : NumberLong(1),
"data_f" : ISODate("2018-01-31T19:59:04Z"),
"pontos_u" : NumberLong(0),
"medicamentos" : [
{
"categoria" : "Estatina",
"receita" : "S",
"des" : "Sinvastatina",
"qt" : 30,
"formato" : "comprimido",
"qt_v" : NumberLong(1),
"pos" : "K23",
"lab" : "Mylan",
"preco_l" : 16.45,
"un" : "un",
"preco" : 16.45,
"preco_v" : 16.45,
"id" : NumberLong(6),
"stock" : NumberLong(25)
}
],
"data_s" : ISODate("2018-01-31T19:45:29Z"),
"funcionario" : {
"tlmv" : "963789245",
"nome" : "Jos� Pedro Milhazes Carvalho Pinto",
"ordenado" : 800.62,
"iban" : "PT 50 6227 3251 87637898710",
"pass" : "679951a24ba997db7355e6b63d66ea51c4a1a5ba",
"niss" : "18746783601",
"id" : NumberLong(4),
"cedula" : "76912"
},
"id_func" : NumberLong(4),
"total" : 16.45,
"id" : NumberLong(7),
"desconto" : 0
},
{
"pontos_r" : NumberLong(10),
"id_c" : NumberLong(1),
"data_f" : ISODate("2018-02-16T11:59:01Z"),
"pontos_u" : NumberLong(0),
"medicamentos" : [
{
"categoria" : "Estatina",
"receita" : "S",
"des" : "Sinvastatina",
"qt" : 30,
"formato" : "comprimido",
"qt_v" : NumberLong(1),
"pos" : "K23",
"lab" : "Mylan",
"preco_l" : 16.45,
"un" : "un",
"preco" : 16.45,
"preco_v" : 16.45,
"id" : NumberLong(6),
"stock" : NumberLong(25)
}
],
"data_s" : ISODate("2018-02-16T11:53:29Z"),
"funcionario" : {
"tlmv" : "963789245",
"nome" : "Jos� Pedro Milhazes Carvalho Pinto",
"ordenado" : 800.62,
"iban" : "PT 50 6227 3251 87637898710",
"pass" : "679951a24ba997db7355e6b63d66ea51c4a1a5ba",
"niss" : "18746783601",
"id" : NumberLong(4),
"cedula" : "76912"
},
"id_func" : NumberLong(4),
"total" : 16.45,
"id" : NumberLong(9),
"desconto" : 0
},
{
"pontos_r" : NumberLong(25),
"id_c" : NumberLong(1),
"data_f" : ISODate("2018-03-13T13:54:39Z"),
"pontos_u" : NumberLong(0),
"medicamentos" : [
{
"categoria" : "Antibi�tico",
"receita" : "S",
"des" : "Cefotaxima",
"qt" : 20,
"formato" : "comprimido",
"qt_v" : NumberLong(1),
"pos" : "D26",
"lab" : "Laborat�rio Ahrro",
"preco_l" : 8.51,
"un" : "un",
"preco" : 8.51,
"preco_v" : 8.51,
"id" : NumberLong(4),
"stock" : NumberLong(22)
},
{
"categoria" : "Estatina",
"receita" : "S",
"des" : "Sinvastatina",
"qt" : 30,
"formato" : "comprimido",
"qt_v" : NumberLong(1),
"pos" : "K23",
"lab" : "Mylan",
"preco_l" : 16.45,
"un" : "un",
"preco" : 16.45,
"preco_v" : 16.45,
"id" : NumberLong(6),
"stock" : NumberLong(25)
}
],
"data_s" : ISODate("2018-03-13T13:50:42Z"),
"funcionario" : {
"tlmv" : "963789245",
"nome" : "Jos� Pedro Milhazes Carvalho Pinto",
"ordenado" : 800.62,
"iban" : "PT 50 6227 3251 87637898710",
"pass" : "679951a24ba997db7355e6b63d66ea51c4a1a5ba",
"niss" : "18746783601",
"id" : NumberLong(4),
"cedula" : "76912"
},
"id_func" : NumberLong(4),
"total" : 24.96,
"id" : NumberLong(11),
"desconto" : 0
},
{
"pontos_r" : NumberLong(10),
"id_c" : NumberLong(1),
"data_f" : ISODate("2018-04-05T23:21:53Z"),
"pontos_u" : NumberLong(0),
"medicamentos" : [
{
"categoria" : "Estatina",
"receita" : "S",
"des" : "Sinvastatina",
"qt" : 30,
"formato" : "comprimido",
"qt_v" : NumberLong(1),
"pos" : "K23",
"lab" : "Mylan",
"preco_l" : 16.45,
"un" : "un",
"preco" : 16.45,
"preco_v" : 16.45,
"id" : NumberLong(6),
"stock" : NumberLong(25)
}
],
"data_s" : ISODate("2018-04-05T22:59:23Z"),
"funcionario" : {
"tlmv" : "934567123",
"nome" : "Pedro Jorge Rito Lima",
"ordenado" : 800.32,
"iban" : "PT 50 2751 3262 76598707612",
"pass" : "3cfa1c281281ffe4f5db2ccfbe7a17f8a9479808",
"niss" : "14385639201",
"id" : NumberLong(2),
"cedula" : "54321"
},
"id_func" : NumberLong(2),
"total" : 16.45,
"id" : NumberLong(13),
"desconto" : 0
}
],
"id" : NumberLong(1),
"nif" : "123456789",
"nome" : "Jo�o da Costa e Campos",
"pass" : "d1925c0ef3f6c8c16ab291510383617148a53979",
"pontos" : NumberLong(0),
"tlmv" : "912345678"
} 这只是来自一位客户的 json 文件，我如何从他的所有事实中总结某种药物 - “medicamenos.des”？在这种情况下，如果我搜索“Sinvastatina”，它会是正数，因为它计数了 5 次。我的预期结果类似于“客户名称:---”“药品名称---”“计数---”。 感谢您的宝贵时间
最佳答案
您可以尝试以下聚合:
db.col.aggregate([
{
$unwind: "$faturas"
},
{
$unwind: "$faturas.medicamentos"
},
{
$group: {
_id: {
medicine: "$faturas.medicamentos.des",
client: "$email"
},
count: { $sum: 1 }
}
},
{
$match: {
count: { $gte: 4 }
}
},
{
$project: {
_id: 0,
clientName: "$_id.client",
medicineName: "$_id.medicine",
count: 1
}
}
])
输出:
{ "count" : 5, "clientName" : "<a href="https://stackoverflow.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="6208010122050f030b0e4c1216" rel="noreferrer noopener nofollow">[email protected]</a>", "medicineName" : "Sinvastatina" }
关键是您需要在 $group 中包含 medicine 和 client -ing 条件。然后您可以使用 $project 重命名该字段。另外您需要$match检查计数是否为 $gte 4。
关于mongodb - 搜索数组信息的总和值 - MongoDB，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/54185116/