<?php class czy { public $host="localhost"; //地址 public $uid="root"; //用户名 public $pwd="*******";//用户密码 public $dbname="*******";//用户数据库名 /** *给一个sql语句,返回执行的结果 *@param string @sql用户指定的sql语句 *@param int $type 用户给的
oracle count 百万级 分页查询记录总数.总条数优化 oracle count 百万级 查询记录总数.总条数优化 最近做一个项目时,做分页时,发现分页查询速度很慢,分页我做的是两次查询,一次是查询总数,一次是查询分页结果 /** 查询总记录数 **/ SELECT COUNT(id) FROM USER order by id /** 查询结果集 **/ select * from ( select row_.*, rownum rownum_ from ( select id , u
public static void main(String[] args) throws Exception { String queryForScanUsers_SQL = "select a.username AS user_name,b.* from tbl_aaa a left join tbl_bbb b where a.id=? limit 10"; //去除WHERE和LIMIT String sqlRegex = "(select\\s+)(.*)(\\s+
oracle 的分页查询: select * from (select o.*,rownum rn from Persons o) where rn >40 and rn <=60 : mySQL 的分页查询: select o.* from Persons o limit 40,20 ; limit (偏移条数,数据条数) SQLServer :top select top 4 * from order by hiredate 自注: 显示第一个到第
最近做了一个小任务,要求是:使用MySQL #筛选BETWEEN '2018-1-1 00:00:00' AND '2018-5-18 00:00:00'每日`status`='1'的记录总条数 SELECT DATE_FORMAT(createTime,'%Y-%m-%d') as time , count(*) as count FROM hm_stu_order WHERE `status`='1' AND createTime BETWEEN '2018-1-1 00:00:00' AN
mysql count group by统计条数方法 mysql 分组之后如何统计记录条数? gourp by 之后的 count,把group by查询结果当成一个表再count一次select count(*) as count from(SELECT count(*) FROM 表名 WHERE 条件 GROUP BY id ) a; 实战例子:select count(*) as total from (select count(*) from users group by user_i
网上使用union all 查询记录总条数的参考资料比较少,所以记录下来,以便有同样需求的人使用. $rs_num = Db::query("select sum(a.b) as num from ( select count() as b from table1 where afrom = '".condition1."' UNION ALL select count() as b from table2 where afrom = '".condition2.&
//PageHelper.startPage会返回一个page对象,这个对象在查询结果出来后会把页数,记录总数给page对象,用page.getPages()和getTotal()获取页数和记录总数. Page page = PageHelper.startPage(request.getPageNum(), request.getPageSize()); List list = Service.list(request); PageInfo pageInfo = new PageInfo(li
mysql中分页查询有两种方式, 一种是使用COUNT(*)的方式,具体代码如下 1 2 3 SELECT COUNT(*) FROM foo WHERE b = 1; SELECT a FROM foo WHERE b = 1 LIMIT 100,10; 1 另外一种是使用SQL_CALC_FOUND_ROWS 1 2 SELECT SQL_CALC_FOUND_ROWS a FROM foo WHERE b = 1 LIMIT 100, 10; SELECT FOUND_ROWS(
