SqlSugar ORM 入门篇2 【查询】 让我们实现零SQL
sqlsugar在查询的功能是非常强大的,多表查询、分页查询 、 一对一查询、二级缓存、一对多查、whencase等复杂函数、mapper功能、和拉姆达自定义扩展等,用好了是可以做到真正零sql的一款orm。
首先将sqlsugar更新到4.8版本,下面我就来一一讲解每种查询的写法
创建dbcontext
public class dbcontext
{
public dbcontext()
{
db = new sqlsugarclient(new connectionconfig()
{
connectionstring = "server=.;uid=sa;pwd=sasa;database=sqlsugar4xtest",
dbtype = dbtype.sqlserver,
isautocloseconnection = true,//开启自动释放模式和ef原理一样我就不多解释了
//initkey默认systemtable
});
}
public sqlsugarclient db;//用来处理事务多表查询和复杂的操作
public simpleclient<student> studentdb { get { return new simpleclient<student>(db); } }//用来处理student表的常用操作
public simpleclient<school> schooldb { get { return new simpleclient<school>(db); } }//用来处理school表的常用操作
}
单表的简单查询
我们使用的simpleclient实现了简单的单表查询,如何扩展simpleclient可以看我的上一篇文章
//调式代码 用来打印sql db.aop.onlogexecuting = (sql, pars) => { console.writeline(sql + "\r\n" + db.utilities.serializeobject(pars.todictionary(it => it.parametername, it => it.value))); console.writeline(); }; var data1 = studentdb.getbyid(1);//根据id查询 var data2 = studentdb.getlist();//查询所有 var data3 = studentdb.getlist(it => it.id == 1); //根据条件查询 var p = new pagemodel() { pageindex=1,pagesize=2};// 分页查询 var data4 = studentdb.getpagelist(it => it.name == "xx", p); console.write(p.pagecount);//返回总数 // 分页查询加排序 var data5 = studentdb.getpagelist(it => it.name == "xx", p,it=>it.name,orderbytype.asc); console.write(p.pagecount);//返回总数
对于grid控件来说我一般用这个表单封装好了全部通用
list<iconditionalmodel> conmodels = new list<iconditionalmodel>(); conmodels.add(new conditionalmodel() { fieldname = "id", conditionaltype = conditionaltype.equal, fieldvalue = "1" });//id=1 conmodels.add(new conditionalmodel() { fieldname = "student.id", conditionaltype = conditionaltype.equal, fieldvalue = "1" });//id=1 conmodels.add(new conditionalmodel() { fieldname = "id", conditionaltype = conditionaltype.like, fieldvalue = "1" });// id like '%1%' conmodels.add(new conditionalmodel() { fieldname = "id", conditionaltype = conditionaltype.isnullorempty }); conmodels.add(new conditionalmodel() { fieldname = "id", conditionaltype = conditionaltype.in, fieldvalue = "1,2,3" }); conmodels.add(new conditionalmodel() { fieldname = "id", conditionaltype = conditionaltype.notin, fieldvalue = "1,2,3" }); conmodels.add(new conditionalmodel() { fieldname = "id", conditionaltype = conditionaltype.noequal, fieldvalue = "1,2,3" }); conmodels.add(new conditionalmodel() { fieldname = "id", conditionaltype = conditionaltype.isnot, fieldvalue = null });// id is not null var data6 = studentdb.getpagelist(conmodels,p,it=>it.name,orderbytype.asc); //组装条件当查询条件的 分页查询加排序
简单查询中拉姆达的使用技巧
基本上和ef差不太多
var data3 = studentdb.getlist(it => it.name.contains("a")); // like %a% 模糊查询 var p2 = new int[] { 1, 2, 3 }; var data31 = studentdb.getlist(it => p2.contains(it.id)); // id in (1,2,3)
我们还支持了sqlfunc.xxx一串方法来给我们使用,如下用法
var data311 = studentdb.getlist(it => sqlfunc.between(it.id,1,2)); // id between 1 and 2
动态拼表达式查询
var exp = expressionable.create<student>() .orif(1 == 1, it => it.id == 11) .and(it => it.id == 1) .andif(2 == 2, it => it.id == 1) .or(it => it.name == "a1").toexpression();//拼接表达式 var data311 = studentdb.getlist(exp); // 动态表达式查询
扩展拉姆达方法
例如我们有自定义的sql函数或者sqlsugar不支持的我们可以自定扩展
具体看这个连接 http://www.codeisbug.com/doc/8/1162
复杂查询
我们上面看到的简单查询底层都是用复杂查询实现的
var data1 = studentdb.getbyid(1); //等同于 var data2 = db.queryable<student>().single(it => it.id == 1);
多表查询
var list = db.queryable<student, school>((st, sc) => new object[] { jointype.left,st.schoolid==sc.id}) .select((st,sc)=>new{id=st.id,name=st.name,schoolname=sc.name}).tolist();
生成的sql如下
select [st].[id] as [id] , [st].[name] as [name] , [sc].[name] as [schoolname] from [student] st left join school sc on ( [st].[schoolid] =[sc].[id])
多表查询自支持自动填充到viewmodel
var s11 = db.queryable<student, school>((st, sc) => st.schoolid == sc.id) .select<viewmodelstudent3>().tolist();
public class viewmodelstudent3: student { public string schoolname { get; set; } }
生成的sql如下
select sc.[name] as [schoolname],--这一列神奇的自动出现了 sc.[id] as [scid], st.[id] as [id], st.[schoolid] as [schoolid], st.[name] as [name], st.[createtime] as [createtime] from [student] st ,[school] sc where ( [st].[schoolid] = [sc].[id])
多表分页查询
var list3 = db.queryable<student, school>((st, sc) => new object[] { jointype.left,st.schoolid==sc.id }).select<viewmodel>() .topagelist(pageindex,pagesize)
子查询
var getall = db.queryable<student, school>((st, sc) => new object[] { jointype.left,st.id==sc.id}) .where(st => st.id == sqlfunc.subqueryable<school>().where(s => s.id == st.id).select(s => s.id)) .tolist(); //生成的mysql语句,如果是sqlserver就是top 1 select `st`.`id`,`st`.`schoolid`,`st`.`name`,`st`.`createtime` from `student` st left join `school` sc on ( `st`.`id` = `sc`.`id` ) where ( `st`.`id` =(select `id` from `school` where ( `id` = `st`.`id` ) limit 0,1))
一对一的查询
var getall = db.queryable<student, school>((st, sc) => new object[] { jointype.left,st.id==sc.id}) .select(st => new{ name = st.name, id = sqlfunc.subqueryable<school>().where(s => s.id == st.id).select(s => s.id) }).tolist();
本文只讲重点,更多多表查询请看 api
http://www.codeisbug.com/doc/8/1124
mapper功能
如果说 .select() 也可以实现一对一的查询或者一些sql函数但是毕竟是用来生成sql的所以有很多局限性,mapper是在查询出结果后进行处理所以任何c#方法都支持
也更强大
var s12 = db.queryable<student, school>((st, sc) => st.schoolid == sc.id).select<viewmodelstudent3>() .mapper(it => { it.name = md5(it.name); //有多少列要处理写多少列,能用mapper的就少用select兼容性更好些 }).tolist();
高性能的一对多查询
我们也可以用mapper来实现一对多,弥补.select()不足
var s12 = db.queryable<student, school>((st, sc) => st.schoolid == sc.id).select<viewmodelstudent3>() .mapper((it, cache) => { var allschools = cache.getlistbyprimarykeys<school>(vmodel => vmodel.schoolid); //in(viewmodelstudent3[0].schoolid , viewmodelstudent3[1].schoolid...) /*one to many*/ it.schools = allschools.where(i => i.id == it.schoolid).tolist(); /*c# syntax conversion*/ it.name = it.name == null ? "null" : it.name; }).tolist();
一对多查询的性能可以秒杀其它orm ,因为生成的sql只有2条,并且这2条不会多查询一条没用的记录,有幸趣的可以研究一下,其它的都内存处理
多queryable查询
union all查询将结果集合并
var getunionalllist2 = db.unionall(db.queryable<student>(), db.queryable<student>()).tolist();//union all
两个queryable联表查询(有人说我只支持12表join,那这样就可以支持24张表了)
var q1 = db.queryable<student, school>((st,sc)=>new object[] { jointype.left,st.schoolid==sc.id }).select((st, sc) => new viewmodelstudent4() { id=st.id, name=st.name,schoolname=sc.name }); var q2 = db.queryable<school>(); var innerjoinlist = db.queryable(q1, q2, (j1, j2) => j1.id == j2.id).select((j1, j2) => j1).tolist();//inner join var leftjoinlist = db.queryable(q1, q2,jointype.left, (j1, j2) => j1.id == j2.id).select((j1, j2) => j1).tolist();/
二级缓存支持
二级缓存功能是对查询出来的数据进行缓存,在缓存不失效的情况下,下次同样的查询操作都会从缓存内读取
使用缓存查询
var list=db.queryable<student, school>((s1, s2) => s1.id == s2.id).select(s1 => s1).withcache().tolist();//可以设置过期时间withcache(60)
删除缓存
我们需要删除缓存也相当方便,只需要在对该表操作的时候加 removedatacache 就能把查询中引用该表的缓存全部清除
db.deleteable<student>().where(it => it.id == 1).removedatacache().executecommand();
//updateable和insertable一样用法
自动删除缓存
sqlsugarclient db = new sqlsugarclient(new connectionconfig() { connectionstring = config.connectionstring, moresettings =new connmoresettings(){ isautoremovedatacache=true }
创建db对象
我们需要创建一个mycache类,你可以用我写好的也可以用你自已写的实现缓存
icacheservice mycache = new rediscache("10.1.249.196");//icacheservice sqlsugarclient db = new sqlsugarclient(new connectionconfig() { connectionstring = config.connectionstring, dbtype = dbtype.sqlserver, isautocloseconnection = true, configureexternalservices = new configureexternalservices() { datainfocacheservice = new rediscache() //rediscache是继承icacheservice自已实现的一个类 } });
我写好的cache类可以作为参考
redis:
https://github.com/sunkaixuan/sqlsugar/blob/dev/src/asp.net/sqlsugar.extensions.datacache/rediscache.cs
.net自带cache:
https://github.com/sunkaixuan/sqlsugar/blob/dev/src/asp.net/sqlsugar.extensions.datacache/httpruntimecache.cs
永久开源,源码下:
https://github.com/sunkaixuan/sqlsugar
sqlsugar一直在默默进步,得到了一些大型企业的认可,但这只是开始,希望你喜欢。
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