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在日常的系统开发中,表格(Grid)是最常见的数据表达形式,而表格中增删改查又是最常见的功能之一。所以在日常的开发选中,快速的构建表格增删改查的框架将大大的加速开发者的效率。
此次SpreadJS V15所推出的集算表功能就是专门用来应对这样的场景
那么如何快速搭建带有集算表的前后端增删改查框架呢,下面将按照步骤一步步进行拆解
1、后端使用Spring Boot做快速搭建,创建一个spring boot web工程,下面是大致用到的dependencies
基本除了springboot自带的之外,额外引用了fastjson用于对一些复杂json格式进行处理。
2、构建前后台,可以选择前后端分离,或者结合的方式(例子中选中了前后端结合的方式),大致工程结构如下:
3、构建前端页面,前端页面的可以选择适合的框架(VUE,React,Angular,例子中使用源生JS进行构建),在页面中引入SpreadJS TableSheet(集算表)中的相关依赖
需在原本SpreadJS的依赖基础上引入gc.spread.sheets.tablesheet这个依赖。
4、构建前端集算表配置配置集算表的功能操作
var myTable = dataManager.addTable("myTable", {
remote: {
read: {
url: "initDataManager",
},
batch: {
url: "batchUpdateDataManager",
},
},
batch: true,
autoSync: false,
});
上述配置了读取和批量两个操作,读取设置是在指定地址下读取数据。而批量操作包含对数据的批量增删改。从而覆盖到整个增删改查逻辑。
var rowActions = GC.Spread.Sheets.TableSheet.BuiltInRowActions;
var options = sheet.rowActionOptions();
options.push(rowActions.removeRow, rowActions.saveRow, rowActions.resetRow);
sheet.rowActionOptions(options);
上述代码设置了页面上供用户进行操作的对应按钮(删除行,保存行,重置行)
myTable.fetch().then(function () {
var view = myTable.addView("myView", [
{ value: "id", caption: "编号", width: 80 },
{ value: "firstname", caption: "姓", width: 100 },
{ value: "lastname", caption: "名", width: 100 },
{ value: "homephone", caption: "电话", width: 100 },
]);
sheet.setDataView(view);
});
上述代码设置了表格的结构,对每一列进行了设置
var submitButton = document.getElementById("submit");
submitButton.addEventListener("click", function () {
sheet.submitChanges();
});
通过设置一个提交的按钮,用于将批量的修改进行一次性提交。
5、后端构建对应的数据增删改查逻辑(实例中通过一个假数据构建一个list进行模拟,实际情况可以扩展持久层与真实的数据库进行交互)。
private static List<Employee> list = new ArrayList<Employee>();
static {
for (int i = 0; i < 10; i++) {
Employee employee = new Employee();
employee.setId(i);
employee.setFirstname("FirstName" + i);
employee.setLastname("LastName" + i);
employee.setHomephone("HomePhone" + i);
list.add(employee);
}
}
@RequestMapping(value = "/initDataManager", method = RequestMethod.GET) @ResponseBody
public List<Employee> initWorkBook () {
return list;
}
@RequestMapping(value = "/batchUpdateDataManager", method = RequestMethod.POST) @ResponseBody
public List<Map<String, Object>> batchUpdateDataManager (@RequestBody List < BatchManager > batchManagerList) {
List<Map<String, Object>> reutrnList = new ArrayList<Map<String, Object>>();
for (BatchManager batchManager : batchManagerList) {
Map<String, Object> returnMap = new HashMap<String, Object>();
String type = batchManager.getType().toString();
try {
if (type.equals("update")) {
Employee employee = batchManager.getDataItem();
int index = batchManager.getSourceIndex();
Employee employeeSource = list.get(index);
employeeSource.setId(employee.getId());
employeeSource.setFirstname(employee.getFirstname());
employeeSource.setLastname(employee.getLastname());
employeeSource.setHomephone(employee.getHomephone());
list.remove(index);
list.add(index, employeeSource);
returnMap.put("succeed", true);
} else if (type.equals("insert")) {
Employee employee = batchManager.getDataItem();
list.add(employee);
returnMap.put("succeed", true);
employee.setId(employee.getId() + 10000);
returnMap.put("data", employee);
} else if (type.equals("delete")) {
int index = batchManager.getSourceIndex();
list.remove(index);
returnMap.put("succeed", true);
}
} catch (Exception e) {
returnMap.put("succeed", false);
}
reutrnList.add(returnMap);
}
return reutrnList;
}
这样,我们的框架就算搭建完成了。后面可以根据情况再做细微的调整和优化。总共耗时30分钟左右。
实例的代码可以参考附件,有兴趣的朋友可以下载自行参考搭建DataManager.zip
作者: Grapecity.China | 审核:Clark.Pan | 更新时间:2023.12.28