HAVING 筛选后再 筛选 SELECT CLASS,SUM(TOTAL_SCORES) FROM student_score GROUP BY CLASS HAVING SUM(TOTAL_SCORES)>; 这里用where SUM(TOTAL_SCORES)>505的话,将会出错,因为表中根本没有总成绩分数这项,这是分组之后才有的 ELECT CLASS,SNAME,TOTAL_SCORES FROM student_score WHERE TOTAL_SCORES>250 GR
在开发中往往要用到类似下面的二维统计: a b type1 54 65 type2 54 54 在SQL中使用CASE WHEN 语句可以很轻松的实现: SELECT SUM(CASE WHEN type='type1' THEN 1 ELSE 0 END) AS a ,SUM(CASE WHEN type='type2' THEN 1 ELSE 0 END) AS b FROM Table1
From: http://www.jbxue.com/db/758.html 实现mysql按月统计的教程 mysql有个字段是DATETIME类型,要实现可以按月统计,该怎么写sql语句? select month(f1) from tt group by month(f1) or select DATE_FORMAT(f1,'%m') from tt group by DATE_FORMAT(f1,'%m') 比如数据库的为2008-01-15 12:10:00 则DATE_FORMAT
MySQL按时间统计每个小时记录数 方案1: ? 1 2 3 4 5 6 7 SELECT @rownum := @rownum + 1 AS ID, CONCAT((CASE WHEN t.hour = 24 THEN 0 ELSE t.hour END),':00:00') AS TIME, COUNT(*) AS COUNT FROM (SELECT id, HOUR(DATE_FORMAT(createtime,'%H:%i:%s'))+1 AS HOUR FROM b
一.基本统计量 统计向量的长度,最大值,最小值,非0个数,模1和模2,方差等 import org.apache.spark.mllib.linalg.{Vector,Vectors} import org.apache.spark.mllib.stat.{MultivariateStatisticalSummary, Statistics} val data=sc.parallelize(1 to 100,2) val obs=data.map(x=>Vectors.dense(x)) val
数据之表操作 1.创建表 语法:CREATE TABLE table_name (column_name column_type); create table student( -> id INT NOT NULL AUTO_INCREMENT, -> name CHAR(32) NOT NULL, -> age INT NOT NULL, -> regiiter_date DATE, -> PRIMARY KEY(id) -> ); auto_increment 表示