DataTables是一个现代 jQuery 插件,用于向网页的 HTML 表格添加交互式和高级控件。它是一个非常易于使用的插件,具有多种选项供开发人员根据应用程序需要进行自定义更改。该插件的功能包括分页、排序、搜索和多列排序。
在本文中,我们将使用DataTables插件从嵌套数据对象中读取每个员工的信息。
方法: DataTables 插件的column.data选项用于从嵌套的 JSON 数据中提取任何级别的数据。点(.) 用于访问column.data选项的另一个对象级别。
需要实现的预编译文件是
CSS:
https://cdn.datatables.net/1.10.22/css/jquery.dataTables.min.css
JavaScript:
https://code.jquery.com/jquery-3.5.1.js
https://cdn.datatables.net/1.10.22/js/jquery.dataTables.min.js
示例:以下代码使用DataTables插件在 HTML 表格中显示所有员工的数据。
员工数据结构:员工详细信息采用嵌套对象数据形式。
HTML 代码:以下代码的 JavaScript 部分从“ nestedJSONData.txt ”文件中提取数据。在下面的示例中, details.designation帮助获取每个员工的details对象的名称, details.salary获取details对象的工资。同样, address.0和address.1获取该特定员工的位置和城市。
HTML
How to read information from nested
objects in DataTables
Name
Designation
Salary
Location
City
NestedJSONData.txt 文件:以下是该文件的内容,该文件具有所有员工的嵌套对象数据。该文件用于上述 HTML 代码。
{
"data": [
{
"name": "Tina Mukherjee",
"details": {
"designation": "BPO member",
"salary": "300000"
},
"address": [
"24,chandni chowk",
"Pune"
]
},
{
"name": "Gaurav",
"details": {
"designation": "Teacher",
"salary": "100750"
},
"address": [
"esquare,JM road",
"Pune"
]
},
{
"name": "Ashtwini",
"details": {
"designation": "Junior engineer",
"salary": "860000"
},
"address": [
"Santa cruz",
"mumbai"
]
},
{
"name": "Celina",
"details": {
"designation": "Javascript Developer",
"salary": "430060"
},
"address": [
"crr lake side ville",
"tellapur"
]
},
{
"name": "Aisha",
"details": {
"designation": "Nurse",
"salary": "160000"
},
"address": [
"rk puram",
"Delhi"
]
},
{
"name": "Brad henry",
"details": {
"designation": "Accountant",
"salary": "370000"
},
"address": [
"chaurasi lane",
"Kolkatta"
]
},
{
"name": "Harry",
"details": {
"designation": "Salesman",
"salary": "130500"
},
"address": [
"32, krishna nagar",
"Navi mumbai"
]
},
{
"name": "Rhovina",
"details": {
"designation": "Amazon supporter",
"salary": "300900"
},
"address": [
"Aparna zone",
"hyderabad"
]
},
{
"name": "Celina",
"details": {
"designation": "Senior Developer",
"salary": "200000"
},
"address": [
"23, chandni chowk",
"pune"
]
},
{
"name": "Glenny",
"details": {
"designation": "Administrator",
"salary": "200500"
},
"address": [
"Nagpur",
"Maharashtra"
]
},
{
"name": "Brad Pitt",
"details": {
"designation": "Engineer",
"salary": "100000"
},
"address": [
"sainikpuri",
"Delhi"
]
},
{
"name": "Deepa",
"details": {
"designation": "Team Leader",
"salary": "200500"
},
"address": [
"Annanagar",
"Chennai"
]
},
{
"name": "Angelina",
"details": {
"designation": "CEO",
"salary": "1000000"
},
"address": [
"JM road",
"Aundh pune"
]
}
]
}
输出:
执行前:
执行后:下面的输出显示了对城市持有字符串为“Pune”等的员工进行“搜索”操作的表格。