【造轮子】打造一个简单的万能Excel读写工具

1 ExcelFactory.saveExcel(
2         UNPOOLED_DATA_SOURCE.getConnection().
3                 prepareStatement("select * FROM  users_info limit 1000").executeQuery(),
4         "\u5317\u4eac__Excel.xlsx",
5          AS.class)
6     .FilterCol(() -> new String[]{"updatetime"})
7     .Filter((AS o) ->o.getA().length() > 3)
8     .Save();

ExcelFactory.saveExcel(
        UNPOOLED_DATA_SOURCE.getConnection().
                prepareStatement("select * FROM  users_info limit 1000").executeQuery(),
        "\u5317\u4eac__Excel.xlsx",
            res -> {
                AS a = new AS();
                a.setA(res.getString("name"));
                return a;
            })
    .FilterCol(() -> new String[]{"updatetime"})
    .Filter((AS o) ->o.getA().length() > 3)
    .Save();

ExcelFactory.saveExcel(
        UNPOOLED_DATA_SOURCE.getConnection().
                prepareStatement("select * FROM  users_info limit 10000").
                executeQuery(), "知乎导出Excel.xlsx")
        //过滤字段
   .FilterCol(() -> new String[]{"updatetime"})
        //过滤数据条件
   .Filter((HashMap<String, String> o) ->
            o.get("address").equals("\u5317\u4eac"))
   .Save();

List<A> aa = new ArrayList<>();
aa.add(new A("a", "b"));
aa.add(new A("aa", "bb"));
ExcelFactory.saveExcel(aa,
    System.getProperty("user.dir").concat("\\Save.xlsx"))
        ///这里能够处理每一行数据
        .Process((A a) -> a.setA("xxxxxxx"))
        //过滤列
        .FilterCol(() -> new String[]{"B"})
        //根据某个字段来处理数据时候丢弃
        .Filter((A a) -> a.getA().length() > 1)
        //排序
        .Sort((A o1,A o2 ) -> o1.getAge()>o2.getAge()?1:o1.getAge()==o2.getAge()?0:-1)
        .Save();

 1 List<Map<String,String>> data=ExcelFactory.getBeans(System.getProperty("user.dir").concat("\\测试.xls"),
 2                 new ResWrapperMap() {
 3                     @Override//配置Excel属性
 4                     protected void LoadConfig(Config config) {
 5                         config.setContent_row_start(3);
 6                         config.setTitle_row(2);
 7                     }
 8                 }).//这里能够处理每一行数据
 9                 Process((HashMap<String, String> o) -> System.out.println(o + "\n")
10                 //这里能够处理时候过滤某一列
11                 ).FilterCol(() -> new String[]{}
12                 //这里能根据某一行的某一列的内容来取舍这行数据
13         ).Filter((HashMap<String, String> o) -> o.get("创建人") != null && o.get("创建人").length() > 5
14                 //排序
15         ).Sort((o1, o2) -> o1.hashCode()>o2.hashCode()?1:hashCode()==o2.hashCode()?0:-1).Create();
16 
17 //使用 .CreateMap(key_v) 生成Map<Key,Map>类型数据

 1 Map<String,Seven> map=new ResWrapperObj(Seven) {
 2                     @Override
 3                     protected void LoadConfig(Config config) {
 4                         config.setContent_row_start(3);
 5                         config.setTitle_row(2);
 6                     }
 7                 }).
 8                 Process((HashMap<String, String> o) -> {}
 9                 ).FilterCol(() -> new String[]{}
10         ).Filter((HashMap<String, String> o) -> o.get("创建人") != 
11         null &&o.get("创建人").length() > 4).<Map>CreateMap("创建人"));