我使用 Go 作为后端，MongoDB 作为数据库，使用 beego 框架来开发这个应用程序。我想在我的前端做一些分页。
我的结构看起来像这样:
type Employee struct {
Name string
EmpId string
Password string
PhoneNumber int32
EmailAddress string
Position string
AccessLevel string
Gender string
MaritalStatus string
Nationality string
Department string
ICNumber string
JoinDate time.Time
ConfirmationDate time.Time
EndDate time.Time
AnnualLeave []*AnnualLeaveInfo
MedicalLeave []*MedicalLeaveInfo
NopayLeave []*NopayLeaveInfo
ChildcareLeave []*ChildcareLeaveInfo
}
type AnnualLeaveInfo struct {
Id int
Days float64
Type string
From time.Time
To time.Time
AppliedDate time.Time
Status string
Certificate []*CertificateInfo
}
其他请假信息同年假信息。我想显示按申请日期和状态排序的所有员工文件的所有叶子。现在我正在检索所有休假详细信息，然后附加到数组中，然后我使用游标值(我在上一个响应中传递给前端的数组的最后检索索引值)并从数组中查找值.我知道这不是一个好函数，因为对于每个请求，它都需要检索所有休假详细信息，而仅检索前端请求的 20 个休假详细信息。
我添加到数组后的结果是这样的
"0": {
"LeaveEmpId": "rajeshk",
"Name": "rahul",
"LeaveId": 8,
"LeaveType": "annualleave",
"LeaveTotal": 2,
"LeaveDays": 1,
"LeaveFrom": "2016-12-12T08:00:00+08:00",
"LeaveTo": "2016-12-12T08:00:00+08:00",
"LeaveAppliedDate": "2016-11-21T10:29:33.713+08:00",
"LeaveStatus": "Processing",
"CertificateName": [
"1.pdf",
"2.pdf"
]
},
"1": {
"LeaveEmpId": "rajeshk",
"LeaveName": "Rajesh",
"LeaveId": 7,
"LeaveType": "medicalleave",
"LeaveTotal": 3,
"LeaveDays": 1,
"LeaveFrom": "2016-12-12T08:00:00+08:00",
"LeaveTo": "2016-12-12T08:00:00+08:00",
"LeaveAppliedDate": "2016-11-21T10:27:06.12+08:00",
"LeaveStatus": "Processing",
"CertificateName": [
"1.pdf",
"2.pdf"
]
},
"2": {
"LeaveEmpId": "kumar",
"LeaveName": "madia",
"LeaveId": 6,
"LeaveType": "nopayleave",
"LeaveTotal": 4,
"LeaveDays": 1,
"LeaveFrom": "2016-12-12T08:00:00+08:00",
"LeaveTo": "2016-12-12T08:00:00+08:00",
"LeaveAppliedDate": "2016-11-21T10:11:58.283+08:00",
"LeaveStatus": "Processing",
"CertificateName": [
"1.pdf",
"2.pdf"
]
},
"3": {
"LeaveEmpId": "master",
"LeaveName": "kumar",
"LeaveId": 5,
"LeaveType": "nopayleave",
"LeaveTotal": 5,
"LeaveDays": 1,
"LeaveFrom": "2016-12-12T08:00:00+08:00",
"LeaveTo": "2016-12-12T08:00:00+08:00",
"LeaveAppliedDate": "2016-11-21T10:02:17.565+08:00",
"LeaveStatus": "Processing",
"CertificateName": [
"1.pdf",
"2.pdf"
]
},
"4": {
"LeaveEmpId": "rajeshk",
"LeaveName": "Rajesh",
"LeaveId": 4,
"LeaveType": "medicalleave",
"LeaveTotal": 6,
"LeaveDays": 1,
"LeaveFrom": "2016-12-12T08:00:00+08:00",
"LeaveTo": "2016-12-12T08:00:00+08:00",
"LeaveAppliedDate": "2016-11-21T09:52:20.185+08:00",
"LeaveStatus": "Processing",
"CertificateName": [
"1.pdf",
"2.pdf"
]
},
"5": {
"LeaveEmpId": "rajeshk",
"LeaveName": "Rajesh",
"LeaveId": 3,
"LeaveType": "annualleave",
"LeaveTotal": 7,
"LeaveDays": 1,
"LeaveFrom": "2016-12-12T08:00:00+08:00",
"LeaveTo": "2016-12-12T08:00:00+08:00",
"LeaveAppliedDate": "2016-11-21T09:49:18.702+08:00",
"LeaveStatus": "Processing",
"CertificateName": [
"1.pdf",
"2.pdf"
]
},
"6": {
"LeaveEmpId": "india",
"LeaveName": "rahul",
"LeaveId": 2,
"LeaveType": "nopayleave",
"LeaveTotal": 8,
"LeaveDays": 1,
"LeaveFrom": "2016-12-12T08:00:00+08:00",
"LeaveTo": "2016-12-12T08:00:00+08:00",
"LeaveAppliedDate": "2016-11-21T09:30:14.99+08:00",
"LeaveStatus": "Processing",
"CertificateName": [
"1.pdf",
"2.pdf"
]
},
"7": {
"LeaveEmpId": "rajeshk",
"LeaveName": "Rajesh",
"LeaveId": 1,
"LeaveType": "medicalleave",
"LeaveTotal": 9,
"LeaveDays": 1,
"LeaveFrom": "2016-12-12T08:00:00+08:00",
"LeaveTo": "2016-12-12T08:00:00+08:00",
"LeaveAppliedDate": "2016-11-21T09:28:02.785+08:00",
"LeaveStatus": "Processing",
"CertificateName": [
"1.pdf",
"2.pdf"
]
}
在数据库中，我的 empid 只是我使用的索引，它是唯一的，其他值不是唯一的。休假 ID 仅在休假数组中是唯一的。有人可以帮助我如何有效地做到这一点。感谢任何帮助。谢谢。
添加信息:
我的数据库结构如下所示...这只是一名员工的信息。像这样，我有很多员工文件。我需要的是获取所有这些员工文件的总休假详细信息，限制为 20 以按申请日期和状态排序分页。谢谢
{
"_id" : ObjectId("58320cec720fed31a3243683"),
"name" : "Rajesh",
"empid" : "rajeshk",
"password" : "c1e1a43a3d65ff4d669f2831b9908acb9e2f755c48280e99f0d7a3e92592fa29",
"phonenumber" : 0,
"emailaddress" : "example@example.com.sg",
"position" : "string",
"accesslevel" : "string",
"gender" : "string",
"maritalstatus" : "string",
"nationality" : "india",
"department" : "it",
"icnumber" : "string",
"childcitizenship" : "string",
"joindate" : ISODate("2015-11-21T00:00:00.000Z"),
"confirmationdate" : Date(-62135596800000),
"enddate" : Date(-62135596800000),
"totalchild" : 0,
"annualleave" : [
{
"id" : 0,
"days" : 0.0,
"type" : "",
"from" : Date(-62135596800000),
"to" : Date(-62135596800000),
"applieddate" : Date(-62135596800000),
"status" : "",
"approveddate" : Date(-62135596800000),
"certificate" : []
}
],
"medicalleave" : [
{
"id" : 0,
"days" : 0.0,
"type" : "",
"from" : Date(-62135596800000),
"to" : Date(-62135596800000),
"applieddate" : Date(-62135596800000),
"status" : "",
"approveddate" : Date(-62135596800000),
"certificate" : []
}
],
"nopayleave" : [
{
"total" : 10.0,
"id" : 0,
"days" : 0.0,
"type" : "",
"from" : Date(-62135596800000),
"to" : Date(-62135596800000),
"applieddate" : Date(-62135596800000),
"status" : "",
"approveddate" : Date(-62135596800000),
"certificate" : []
},
{
"total" : 9.0,
"id" : 1,
"days" : 1.0,
"mdays" : 0.0,
"type" : "nopayleave",
"daytype" : "FullDay",
"from" : ISODate("2016-12-12T00:00:00.000Z"),
"to" : ISODate("2016-12-12T00:00:00.000Z"),
"applieddate" : ISODate("2016-11-21T01:28:02.785Z"),
"status" : "Processing",
"approveddate" : Date(-62135596800000),
"certificatename" : "",
"certificate" : [
{
"filename" : "Rajesh",
"filetype" : ".zip",
"filesize" : 1234
},
{
"filename" : "Rajesh",
"filetype" : ".zip",
"filesize" : 1234
}
]
},
{
"total" : 8.0,
"id" : 2,
"days" : 1.0,
"mdays" : 0.0,
"type" : "nopayleave",
"daytype" : "FullDay",
"from" : ISODate("2016-12-12T00:00:00.000Z"),
"to" : ISODate("2016-12-12T00:00:00.000Z"),
"applieddate" : ISODate("2016-11-21T01:30:14.990Z"),
"status" : "Processing",
"approveddate" : Date(-62135596800000),
"certificatename" : "",
"certificate" : [
{
"filename" : "Rajesh",
"filetype" : ".zip",
"filesize" : 1234
},
{
"filename" : "Rajesh",
"filetype" : ".zip",
"filesize" : 1234
}
]
},
{
"total" : 7.0,
"id" : 3,
"days" : 1.0,
"mdays" : 0.0,
"type" : "nopayleave",
"daytype" : "FullDay",
"from" : ISODate("2016-12-12T00:00:00.000Z"),
"to" : ISODate("2016-12-12T00:00:00.000Z"),
"applieddate" : ISODate("2016-11-21T01:49:18.702Z"),
"status" : "Processing",
"approveddate" : Date(-62135596800000),
"certificatename" : "",
"certificate" : [
{
"filename" : "Rajesh",
"filetype" : ".zip",
"filesize" : 1234
},
{
"filename" : "Rajesh",
"filetype" : ".zip",
"filesize" : 1234
}
]
},
{
"total" : 6.0,
"id" : 4,
"days" : 1.0,
"mdays" : 0.0,
"type" : "nopayleave",
"daytype" : "FullDay",
"from" : ISODate("2016-12-12T00:00:00.000Z"),
"to" : ISODate("2016-12-12T00:00:00.000Z"),
"applieddate" : ISODate("2016-11-21T01:52:20.185Z"),
"status" : "Processing",
"approveddate" : Date(-62135596800000),
"certificatename" : "",
"certificate" : [
{
"filename" : "Rajesh",
"filetype" : ".zip",
"filesize" : 1234
},
{
"filename" : "Rajesh",
"filetype" : ".zip",
"filesize" : 1234
}
]
},
{
"total" : 5.0,
"id" : 5,
"days" : 1.0,
"mdays" : 0.0,
"type" : "nopayleave",
"daytype" : "FullDay",
"from" : ISODate("2016-12-12T00:00:00.000Z"),
"to" : ISODate("2016-12-12T00:00:00.000Z"),
"applieddate" : ISODate("2016-11-21T02:02:17.565Z"),
"status" : "Processing",
"approveddate" : Date(-62135596800000),
"certificatename" : "",
"certificate" : [
{
"filename" : "Rajesh",
"filetype" : ".zip",
"filesize" : 1234
},
{
"filename" : "Rajesh",
"filetype" : ".zip",
"filesize" : 1234
}
]
},
{
"total" : 4.0,
"id" : 6,
"days" : 1.0,
"mdays" : 0.0,
"type" : "nopayleave",
"daytype" : "FullDay",
"from" : ISODate("2016-12-12T00:00:00.000Z"),
"to" : ISODate("2016-12-12T00:00:00.000Z"),
"applieddate" : ISODate("2016-11-21T02:11:58.283Z"),
"status" : "Processing",
"approveddate" : Date(-62135596800000),
"certificatename" : "",
"certificate" : [
{
"filename" : "Rajesh",
"filetype" : ".zip",
"filesize" : 1234
},
{
"filename" : "Rajesh",
"filetype" : ".zip",
"filesize" : 1234
}
]
},
{
"total" : 3.0,
"id" : 7,
"days" : 1.0,
"mdays" : 0.0,
"type" : "nopayleave",
"daytype" : "FullDay",
"from" : ISODate("2016-12-12T00:00:00.000Z"),
"to" : ISODate("2016-12-12T00:00:00.000Z"),
"applieddate" : ISODate("2016-11-21T02:27:06.120Z"),
"status" : "Processing",
"approveddate" : Date(-62135596800000),
"certificatename" : "",
"certificate" : [
{
"filename" : "Rajesh",
"filetype" : ".zip",
"filesize" : 1234
},
{
"filename" : "Rajesh",
"filetype" : ".zip",
"filesize" : 1234
}
]
},
{
"total" : 2.0,
"id" : 8,
"days" : 1.0,
"mdays" : 0.0,
"type" : "nopayleave",
"daytype" : "FullDay",
"from" : ISODate("2016-12-12T00:00:00.000Z"),
"to" : ISODate("2016-12-12T00:00:00.000Z"),
"applieddate" : ISODate("2016-11-21T02:29:33.713Z"),
"status" : "Processing",
"approveddate" : Date(-62135596800000),
"certificatename" : "",
"certificate" : [
{
"filename" : "Rajesh",
"filetype" : ".zip",
"filesize" : 1234
},
{
"filename" : "Rajesh",
"filetype" : ".zip",
"filesize" : 1234
}
]
}
],
"childcareleave" : [
{
"total" : 10.0,
"id" : 0,
"days" : 0.0,
"type" : "",
"from" : Date(-62135596800000),
"to" : Date(-62135596800000),
"applieddate" : Date(-62135596800000),
"status" : "",
"approveddate" : Date(-62135596800000),
"certificate" : []
}
],
"hospitalleave" : [
{
"total" : 10.0,
"id" : 0,
"days" : 0.0,
"mdays" : 0.0,
"type" : "",
"daytype" : "",
"from" : Date(-62135596800000),
"to" : Date(-62135596800000),
"applieddate" : Date(-62135596800000),
"status" : "",
"approveddate" : Date(-62135596800000),
"certificatename" : "string",
"certificate" : []
}
],
"maternityleave" : [
{
"total" : 10.0,
"id" : 0,
"days" : 0.0,
"mdays" : 0.0,
"type" : "",
"daytype" : "",
"from" : Date(-62135596800000),
"to" : Date(-62135596800000),
"applieddate" : Date(-62135596800000),
"status" : "",
"approveddate" : Date(-62135596800000),
"certificate" : []
}
],
"paternityleave" : [
{
"total" : 0.0,
"id" : 0,
"days" : 0.0,
"mdays" : 0.0,
"type" : "",
"daytype" : "",
"from" : Date(-62135596800000),
"to" : Date(-62135596800000),
"applieddate" : Date(-62135596800000),
"status" : "",
"approveddate" : Date(-62135596800000),
"certificate" : []
}
],
"compassionateleave" : [
{
"total" : 0.0,
"id" : 0,
"days" : 0.0,
"type" : "",
"from" : Date(-62135596800000),
"to" : Date(-62135596800000),
"applieddate" : Date(-62135596800000),
"status" : "",
"approveddate" : Date(-62135596800000),
"certificate" : []
}
],
"marriageleave" : [
{
"total" : 0.0,
"id" : 0,
"days" : 0.0,
"type" : "",
"from" : Date(-62135596800000),
"to" : Date(-62135596800000),
"applieddate" : Date(-62135596800000),
"status" : "",
"approveddate" : Date(-62135596800000),
"certificate" : []
}
],
"otherleave" : []
}
最佳答案
事实上，您无法真正实现更高效的分页，因为您要列出和分页的所有文档都在一个文档中，分为多个 slice/数组。
为了实现高效简单的分页，我会重构您的模型。首先，我会将所有类型的 XXLeave 文档存储为同一类型 Leave，并向其添加一个属性，告诉您它是哪种休假(例如 年度、医疗 等)。接下来，我不会将此列表存储在 Employee 本身中，而是存储在一个单独的 MongoDB 集合中，并且它可以有一个 EmployeeID 字段，告诉哪个员工 离开文档属于(所有者)。
有了这个模型，您可以轻松地列出员工的特定类型的 Leave 文档，查询如下:
c := session.DB("").C("leaves")
err := c.Find(bson.M{"empid": eid, "type": LeaveAnnual}).All(&result)
要列出员工的所有Leave 文档，只需不要使用"type" 过滤器:
err := c.Find(bson.M{"empid": eid}).All(&result)
现在开始分页。如果你有这个模型，分页就变得小菜一碟:
q = c.Find(bson.M{"empid": eid}).Sort("applieddate", "status")
// Use Skip() and Limit() to denote the page you want to send, e.g.
q = Skip((page-1) * 20).Limit(20)
err := q.All(&result)
如果你想在所有Leave 文档上发送和分页而不考虑Employee(作者)，那么也忽略EmpId过滤器:
err := c.Find(nil).Sort("applieddate", "status").
Skip((page-1) * 20).Limit(20).All(&result)
请注意，使用 Skip() 和 Limit() 非常适合“少量”文档。但是对于大量文档，您应该使用基于指定起始索引条目的分页。有关更多详细信息和现成的库，请参阅此问题:
关于mongodb - 需要在mgo中使用分页，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/40796666/
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当我使用Bundler时，是否需要在我的Gemfile中将其列为依赖项？毕竟，我的代码中有些地方需要它。例如，当我进行Bundler设置时:require"bundler/setup" 最佳答案 没有。您可以尝试，但首先您必须用鞋带将自己抬离地面。 关于ruby-我需要将Bundler本身添加到Gemfile中吗？，我们在StackOverflow上找到一个类似的问题： https://stackoverflow.com/questions/4758609/
我在我的项目目录中完成了compasscreate.和compassinitrails。几个问题:我已将我的.sass文件放在public/stylesheets中。这是放置它们的正确位置吗？当我运行compasswatch时，它不会自动编译这些.sass文件。我必须手动指定文件:compasswatchpublic/stylesheets/myfile.sass等。如何让它自动运行？文件ie.css、print.css和screen.css已放在stylesheets/compiled。如何在编译后不让它们重新出现的情况下删除它们？我自己编译的.sass文件编译成compiled/t
我想将html转换为纯文本。不过，我不想只删除标签，我想智能地保留尽可能多的格式。为插入换行符标签，检测段落并格式化它们等。输入非常简单，通常是格式良好的html(不是整个文档，只是一堆内容，通常没有anchor或图像)。我可以将几个正则表达式放在一起，让我达到80%，但我认为可能有一些现有的解决方案更智能。 最佳答案 首先，不要尝试为此使用正则表达式。很有可能你会想出一个脆弱/脆弱的解决方案，它会随着HTML的变化而崩溃，或者很难管理和维护。您可以使用Nokogiri快速解析HTML并提取文本:require'nokogiri'h