23个MySQL常用查询语句 一查询数值型数据: SELECT * FROM tb_name WHERE sum > 100; 查询谓词:>,=,<,<>,!=,!>,!<,=>,=< 二查询字符串 SELECT * FROM tb_stu WHERE sname = '小刘' SELECT * FROM tb_stu WHERE sname like '刘%' SELECT * FROM tb_stu WHERE sname like '%
关于MySQL常用的查询语句 一查询数值型数据: ; 查询谓词:>,=,<,<>,!=,!>,!<,=>,=< 二查询字符串 SELECT * FROM tb_stu WHERE sname = '小刘' SELECT * FROM tb_stu WHERE sname like '刘%' SELECT * FROM tb_stu WHERE sname like '%程序员' SELECT * FROM tb_stu WHERE sname like '%
#pg_sql之增删改查 #修改: inset into table_name (id, name, age, address ) select replace(old_id,old_id,new_id),#old_id字段的old_id数据,替换为new_id ,)),#name字段替换为[新名字]+name , address from table_name where id ' #增加 inset into table_name (id, name, age, address, date
SELECT * FROM table1 ,,,,,,,,) ) SELECT * FROM table3 WHERE t3Date >= '2011-08-10' SELECT * FROM table1 WHERE id IS NOT NULL GROUP BY id,t1Name ORDER BY id,t1Name SELECT * FROM (SELECT a.*,b.t2Value FROM table1 a LEFT JOIN table2 b ON a.id = b.t2Tabl
一查询数值型数据: SELECT * FROM tb_name WHERE sum > 100; 查询谓词:>,=,<,<>,!=,!>,!<,=>,=< 二查询字符串 SELECT * FROM tb_stu WHERE sname = '小刘' SELECT * FROM tb_stu WHERE sname like '刘%' SELECT * FROM tb_stu WHERE sname like '%程序员' SELECT * FR
通过hue进行数据导入: ,create table demo_id(`id` string) row format serde 'org.apache.hadoop.hive.serde2.OpenCSVSerde' , load data inpath '/user/demo.csv' into table demo_id #sql数据筛选 create table `table_name` as select a.id,a.name,a.time from `a_name` a ' and
参考:https://www.cnblogs.com/kyleinjava/p/10497042.html https://blog.csdn.net/luanpeng825485697/article/details/83411704 elasticsearch定义了两种查询方式 一.索引(index),type,document相关语句 1,列出所有索引状态 GET /_cat/indices?v 可以使用kibana的dev tools health status in
1.查询所有记录db.userInfo.find();相当于:select* from userInfo; 2.查询去掉后的当前聚集集合中的某列的重复数据db.userInfo.distinct("name");会过滤掉 name 中的相同数据相当于:select distict name from userInfo; 3.查询 age = 22 的记录db.userInfo.find({"age": 22});相当于: select * from userInfo
>>MySQL某列插入递增值 SET @i := 100; UPDATE auge_item_classification SET c_code=(@i:=(@i+1)); >>MySQL查询重复记录 SELECT id,count(id) count FROM x_table GROUP BY id HAVING count>1 >>将一张表的数据插入到另一张表中 1. 表结构完全一样 insert into 表1 select * from 表2 2. 表结构